diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..73fc6d44ada745ef972d2b1c7cfff4bb0a78e756 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.stdout_v1.txt filter=lfs diff=lfs merge=lfs -text +fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stdout.txt filter=lfs diff=lfs merge=lfs -text +fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stdout_v1.txt filter=lfs diff=lfs merge=lfs -text +fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stdout.txt filter=lfs diff=lfs merge=lfs -text +fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stdout_v1.txt filter=lfs diff=lfs merge=lfs -text +fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stdout.txt filter=lfs diff=lfs merge=lfs -text +fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stdout_v1.txt filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7e988d32b202ab9391d8760331af4961fa0d14a2 --- /dev/null +++ b/README.md @@ -0,0 +1,120 @@ +--- +license: mit +library_name: chrombpnet +tags: + - encode + - chrombpnet + - chromatin-accessibility + - DNASE + - caudate + - hg38 +--- +# ENCODE ChromBPNet Atlas +As part of the ENCODE 4 Project, we trained ChromBPNet models on 1,512 ENCODE DNAse-seq and ATAC-seq across 408 biosamples. Here, we provide all models for open-source use. + +For more information about the models, see: +- Main ENCODE 4 Paper +- [A unified lexicon of predictive DNA sequence motifs from ENCODE transcription factor binding and chromatin accessibility assays](https://doi.org/10.5281/zenodo.17123347) (Deshpande et al., Zenodo 2025) +- [ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants](https://doi.org/10.1101/2024.12.25.630221) (Pampari et al., bioRxiv 2024) + +## ChromBPNet model: DNASE in head of caudate nucleus (ENCSR417LPB) +- Model: ChromBPNet +- Assay: DNASE-seq +- Experiment: [ENCSR417LPB](https://www.encodeproject.org/experiments/ENCSR417LPB/) +- Model annotation: [ENCSR518EHF](https://www.encodeproject.org/annotations/ENCSR518EHF/) +- Biosample: head of caudate nucleus (Full name: Homo sapiens with Cognitive impairment; head of caudate nucleus tissue female adult (90 or above years)) +- Cell slim(s): None +- Organ slim(s): brain +- Developmental slim(s): ectoderm +- System slim(s): central-nervous-system +- Assembly: hg38 + +## Directory structure +- `fold_0`: Model of 5-fold cross-validation: Fold 0 + - `model.chrombpnet.fold_0.encid.h5`: full chrombpnet model that combines both bias and corrected model in .h5 format + - `model.chrombpnet_nobias.fold_0.encid.h5`: bias-corrected accessibility model in .h5 format (Use for all biological discovery) + - `model.bias_scaled.fold_0.encid.h5`: bias model in .h5 format + - `model.chrombpnet.fold_0.encid.tar`: full chrombpnet model that combines both bias and corrected model in SavedModel format. After being untarred, it results in a directory named "chrombpnet". + - `model.chrombpnet_nobias.fold_0.encid.tar`: bias-corrected accessibility model in SavedModel format (Use for all biological discovery). After being untarred, it results in a directory named "chrombpnet_wo_bias". + - `model.bias_scaled.fold_0.encid.tar`: bias model in SavedModel format. After being untarred, it results in a directory named "bias_model_scaled". + - `logs.models.fold_0.encid`: folder containing log files for training models +- `fold_1`: Model of 5-fold coss-validation: Fold 1 +- `fold_2`: Model of 5-fold cross-validation: Fold 2 +- `fold_3`: Model of 5-fold cross-validation: Fold 3 +- `fold_4`: Model of 5-fold cross-validation: Fold 4 + +# Instructions +## 1. Pseudocode for loading models in .h5 format + +(1) Use the code in python after appropriately defining `model_in_h5_format` and `inputs`. \ +(2) `inputs` is a one hot encoded sequence of shape (N,2114,4). Here N corresponds to the +number of tested sequences, 2114 is the input sequence length and 4 corresponds to [A,C,G,T]. + +```python +import tensorflow as tf +from tensorflow.keras.utils import get_custom_objects +from tensorflow.keras.models import load_model + +custom_objects={"tf": tf} +get_custom_objects().update(custom_objects) + +model=load_model(model_in_h5_format,compile=False) +outputs = model(inputs) +``` + +The list `outputs` consists of two elements. The first element has a shape of (N, 1000) and +contains logit predictions for a 1000-base-pair output. The second element, with a shape of +(N, 1), contains logcount predictions. To transform these predictions into per-base signals, +follow the provided pseudo code lines below. + +```python +import numpy as np + +def softmax(x, temp=1): + norm_x = x - np.mean(x,axis=1, keepdims=True) + return np.exp(temp*norm_x)/np.sum(np.exp(temp*norm_x), axis=1, keepdims=True) + +predictions = softmax(outputs[0]) * (np.exp(outputs[1])-1) +``` + +## 2. Pseudocode for loading models in .tar format + +(1) First untar the directory as follows `tar -xvf model.tar`. \ +(2) Use the code below in python after appropriately defining `model_dir_untared` and `inputs`. \ +(3) `inputs` is a one hot encoded sequence of shape (N,2114,4). Here N corresponds to the number +of tested sequences, 2114 is the input sequence length and 4 corresponds to ACGT. + +Reference: https://www.tensorflow.org/api_docs/python/tf/saved_model/load + +```python +import tensorflow as tf + +model = tf.saved_model.load('model_dir_untared') +outputs = model.signatures['serving_default'](**{'sequence':inputs.astype('float32')}) +``` + +The variable `outputs` represents a dictionary containing two key-value pairs. The first key +is `logits_profile_predictions`, holding a value with a shape of (N, 1000). This value corresponds +to logit predictions for a 1000-base-pair output. The second key, named `logcount_predictions``, +is associated with a value of shape (N, 1), representing logcount predictions. To transform these +predictions into per-base signals, utilize the provided pseudo code lines mentioned below. + +```python +import numpy as np +def softmax(x, temp=1): + norm_x = x - np.mean(x,axis=1, keepdims=True) + return np.exp(temp*norm_x)/np.sum(np.exp(temp*norm_x), axis=1, keepdims=True) + +predictions = softmax(outputs["logits_profile_predictions"]) * (np.exp(outputs["logcount_predictions"])-1) +``` + +## Docker image to load and use the models +- https://hub.docker.com/r/kundajelab/chrombpnet-atlas/ (tag:v1) + +## Code for ChromBPNet +- https://github.com/kundajelab/chrombpnet/ + +# License & citation +External data users may freely download, analyze and publish results based on any ENCODE data without restrictions. + +Released under the [ENCODE data-use policy](https://www.encodeproject.org/about/data-use-policy/). Please cite the ENCODE Project Consortium and the model software: [ChromBPNet](https://github.com/kundajelab/chrombpnet) (Pampari et al., bioRxiv 2024). \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.args.json b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.args.json new file mode 100644 index 0000000000000000000000000000000000000000..e6114879ef390b46ce5626fb6203c64e06c349d7 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombpnet_model_encsr880cub_bias//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombpnet_model_encsr880cub_bias//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombpnet_model_encsr880cub_bias//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombpnet_model_encsr880cub_bias//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.batch_loss.tsv b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..d0b096f9b3e38309e946edc938ed13fc17fe6faa --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.batch_loss.tsv @@ -0,0 +1,33839 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 2.9262423515319824 882.6818237304688 820.6455078125 None None None +0 1 113.55445098876953 3177.3564453125 770.0018310546875 None None None +0 2 76.33027648925781 2330.093017578125 711.89111328125 None None None +0 3 57.90296173095703 1955.255859375 727.7130126953125 None None None +0 4 46.811988830566406 1708.366455078125 715.9522705078125 None None None +0 5 39.382686614990234 1535.7242431640625 700.811279296875 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1.4752874374389648 692.6329956054688 661.3569946289062 None None None +0 1933 1.4748092889785767 692.5817260742188 661.3158569335938 None None None +0 1934 1.47434401512146 692.5623779296875 661.306396484375 None None None +0 1935 1.4738585948944092 692.5347290039062 661.2890014648438 None None None +0 1936 1.4734485149383545 692.4716796875 661.2346801757812 None None None +0 1937 1.4729328155517578 692.4314575195312 661.2053833007812 None None None +0 1938 1.4725017547607422 692.4400024414062 661.2230834960938 None None None +0 1939 1.472007155418396 692.361083984375 661.1546630859375 None None None +0 1940 1.4715230464935303 692.366455078125 661.1702270507812 None None None +0 1941 1.471091389656067 692.3125 661.1254272460938 None None None +0 1942 1.4705467224121094 692.2672119140625 661.0916137695312 None None None +0 1943 1.4700279235839844 692.1867065429688 661.0221557617188 None None None +0 1944 1.469568133354187 692.1954956054688 661.0407104492188 None None None +0 1945 1.4690355062484741 692.1494750976562 661.0059204101562 None None None +0 1946 1.468542218208313 692.09814453125 660.9650268554688 None None None +0 1947 1.4680757522583008 692.0076904296875 660.8844604492188 None None None +0 1948 1.4674819707870483 691.98291015625 660.8722534179688 None None None +0 1949 1.4670729637145996 691.9358520507812 660.8338623046875 None None None +0 1950 1.4666147232055664 691.9660034179688 660.8737182617188 None None None +0 1951 1.4660438299179077 691.9075317382812 660.827392578125 None None None +0 1952 1.4655922651290894 691.8790283203125 660.8084716796875 None None None +0 1953 1.4650747776031494 691.8485107421875 660.7889404296875 None None None +0 1954 1.4645315408706665 691.8439331054688 660.7958374023438 None None None +0 1955 1.4640058279037476 691.7870483398438 660.7501220703125 None None None +0 1956 1.46351957321167 691.7091674804688 660.6825561523438 None None None +0 1957 1.4629875421524048 691.6372680664062 660.6219482421875 None None None +0 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1.436929702758789 690.6511840820312 660.1881103515625 None None None +0 2011 1.436434268951416 690.6792602539062 660.2266845703125 None None None +0 2012 1.4358673095703125 690.6299438476562 660.1893310546875 None None None +0 2013 1.435421347618103 690.598388671875 660.167236328125 None None None +0 2014 1.4348703622817993 690.55029296875 660.130859375 None None None +0 2015 1.4343388080596924 690.5259399414062 660.11767578125 None None None +0 2016 1.433843731880188 690.5089721679688 660.1112670898438 None None None +0 2017 1.4334168434143066 690.4450073242188 660.0563354492188 None None None +0 2018 1.4329571723937988 690.4083862304688 660.0294189453125 None None None +0 2019 1.43254816532135 690.3794555664062 660.0092163085938 None None None +0 2020 1.4320415258407593 690.355712890625 659.9962158203125 None None None +0 2021 1.4315617084503174 690.32275390625 659.973388671875 None None None +0 2022 1.4312204122543335 690.2740478515625 659.931884765625 None None None +0 2023 1.4307419061660767 690.2913818359375 659.9594116210938 None None None +0 2024 1.4302337169647217 690.245361328125 659.9241943359375 None None None +0 2025 1.4297795295715332 690.2683715820312 659.956787109375 None None None +0 2026 1.4292653799057007 690.2470092773438 659.9464111328125 None None None +0 2027 1.4287642240524292 690.2164916992188 659.926513671875 None None None +0 2028 1.4282824993133545 690.15625 659.8765258789062 None None None +0 2029 1.4278004169464111 690.1404418945312 659.8709106445312 None None None +0 2030 1.4272994995117188 690.1202392578125 659.861328125 None None None +0 2031 1.426836371421814 690.11962890625 659.8704833984375 None None None +0 2032 1.4264187812805176 690.067626953125 659.8273315429688 None None None +0 2033 1.4259508848190308 690.04833984375 659.8179931640625 None None None +0 2034 1.4254552125930786 690.0506591796875 659.8308715820312 None None None +0 2035 1.4249399900436401 690.0294189453125 659.8206176757812 None None None +0 2036 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0.4352310299873352 636.457763671875 627.2301635742188 None None None +1 1963 0.43523532152175903 636.5040283203125 627.2763671875 None None None +1 1964 0.4351590871810913 636.4994506835938 627.2734375 None None None +1 1965 0.4351212680339813 636.5202026367188 627.2949829101562 None None None +1 1966 0.4350849688053131 636.541748046875 627.3173217773438 None None None +1 1967 0.43501171469688416 636.5005493164062 627.2777099609375 None None None +1 1968 0.43500667810440063 636.5299682617188 627.3071899414062 None None None +1 1969 0.4350845217704773 636.5601806640625 627.3358764648438 None None None +1 1970 0.4351242184638977 636.5885009765625 627.36328125 None None None +1 1971 0.4351087808609009 636.6099243164062 627.3849487304688 None None None +1 1972 0.4351153075695038 636.6551513671875 627.4300537109375 None None None +1 1973 0.435221403837204 636.6417236328125 627.4144287109375 None None None +1 1974 0.43521907925605774 636.6400756835938 627.4127807617188 None None None +1 1975 0.43520796298980713 636.6392822265625 627.4122314453125 None None None +1 1976 0.4351588785648346 636.6788940429688 627.4529418945312 None None None +1 1977 0.43513593077659607 636.7063598632812 627.4808959960938 None None None +1 1978 0.4351045489311218 636.7305908203125 627.5057373046875 None None None +1 1979 0.4350520372390747 636.704345703125 627.4805908203125 None None None +1 1980 0.43515315651893616 636.7769165039062 627.551025390625 None None None +1 1981 0.4350643754005432 636.7757568359375 627.5516967773438 None None None +1 1982 0.4350125193595886 636.7302856445312 627.50732421875 None None None +1 1983 0.4349897503852844 636.7039184570312 627.4815063476562 None None None +1 1984 0.43497970700263977 636.7147216796875 627.4924926757812 None None None +1 1985 0.434988409280777 636.694091796875 627.4716186523438 None None None +1 1986 0.43494394421577454 636.6890258789062 627.4675903320312 None None None +1 1987 0.4350024163722992 636.671630859375 627.4489135742188 None None 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None +2 1978 0.3915741443634033 625.9788208007812 617.6771850585938 None None None +2 1979 0.3915284276008606 625.96826171875 617.6675415039062 None None None +2 1980 0.39156463742256165 626.0275268554688 617.7260131835938 None None None +2 1981 0.3916115462779999 626.0555419921875 617.7531127929688 None None None +2 1982 0.39163991808891296 626.0609741210938 617.7578735351562 None None None +2 1983 0.39161649346351624 626.0822143554688 617.7796020507812 None None None +2 1984 0.3916107416152954 626.0973510742188 617.794921875 None None None +2 1985 0.39160266518592834 626.0712890625 617.76904296875 None None None +2 1986 0.3916221261024475 626.1220703125 617.8193969726562 None None None +2 1987 0.39165765047073364 626.1669311523438 617.8634643554688 None None None +2 1988 0.3916146457195282 626.1686401367188 617.8660888671875 None None None +2 1989 0.3915705680847168 626.1672973632812 617.86572265625 None None None +2 1990 0.3915965259075165 626.2019653320312 617.8997802734375 None 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0.3330872654914856 612.2669067382812 605.2049560546875 None None None +5 1861 0.33307331800460815 612.2606201171875 605.1990356445312 None None None +5 1862 0.33300498127937317 612.260498046875 605.2003173828125 None None None +5 1863 0.33299896121025085 612.2516479492188 605.1915283203125 None None None +5 1864 0.33300507068634033 612.27099609375 605.2107543945312 None None None +5 1865 0.33297133445739746 612.322265625 605.2626953125 None None None +5 1866 0.3329630196094513 612.2756958007812 605.21630859375 None None None +5 1867 0.3329523801803589 612.2543334960938 605.1951904296875 None None None +5 1868 0.33296459913253784 612.2631225585938 605.2037353515625 None None None +5 1869 0.33304089307785034 612.2946166992188 605.2335815429688 None None None +5 1870 0.33304116129875183 612.2836303710938 605.22265625 None None None +5 1871 0.33305779099464417 612.2171020507812 605.15576171875 None None None +5 1872 0.3330167829990387 612.259033203125 605.1986083984375 None None None +5 1873 0.3330274224281311 612.333251953125 605.2725830078125 None None None +5 1874 0.3330410420894623 612.3629150390625 605.302001953125 None None None +5 1875 0.33302441239356995 612.4119873046875 605.3514404296875 None None None +5 1876 0.33305028080940247 612.3943481445312 605.333251953125 None None None +5 1877 0.3330610692501068 612.390625 605.3292236328125 None None None +5 1878 0.33309072256088257 612.4066772460938 605.3447265625 None None None +5 1879 0.33309406042099 612.3737182617188 605.3117065429688 None None None +5 1880 0.33310607075691223 612.3602294921875 605.2979736328125 None None None +5 1881 0.3331563472747803 612.3400268554688 605.2766723632812 None None None +5 1882 0.3331235349178314 612.3661499023438 605.303466796875 None None None +5 1883 0.33318981528282166 612.3814697265625 605.3174438476562 None None None +5 1884 0.3331432044506073 612.3609008789062 605.2978515625 None None None +5 1885 0.3331175148487091 612.3134155273438 605.2508544921875 None None None +5 1886 0.3331192433834076 612.373779296875 605.3111572265625 None None None +5 1887 0.3331637680530548 612.3534545898438 605.2899169921875 None None None +5 1888 0.33313027024269104 612.34814453125 605.2853393554688 None None None +5 1889 0.3330898582935333 612.33056640625 605.2685546875 None None None +5 1890 0.3330686688423157 612.32666015625 605.2650146484375 None None None +5 1891 0.3330272138118744 612.338134765625 605.2774658203125 None None None +5 1892 0.3330466151237488 612.3031005859375 605.2420043945312 None None None +5 1893 0.3329697549343109 612.2808227539062 605.2213134765625 None None None +5 1894 0.33298012614250183 612.2733764648438 605.2136840820312 None None None +5 1895 0.33305591344833374 612.2891235351562 605.2278442382812 None None None +5 1896 0.33305904269218445 612.2808227539062 605.219482421875 None None None +5 1897 0.3330640196800232 612.2724609375 605.2110595703125 None None None +5 1898 0.33307069540023804 612.247314453125 605.185791015625 None None None 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None None +5 1912 0.333086222410202 612.2860717773438 605.2242431640625 None None None +5 1913 0.3331127464771271 612.3110961914062 605.2486572265625 None None None +5 1914 0.3330982029438019 612.3023071289062 605.2401733398438 None None None +5 1915 0.33307942748069763 612.2646484375 605.2029418945312 None None None +5 1916 0.33302173018455505 612.2630004882812 605.2025146484375 None None None +5 1917 0.3330579698085785 612.2935180664062 605.232177734375 None None None +5 1918 0.3330608606338501 612.2691650390625 605.2078247070312 None None None +5 1919 0.3330727219581604 612.2779541015625 605.2163696289062 None None None +5 1920 0.33307504653930664 612.3275756835938 605.2659912109375 None None None +5 1921 0.3330484926700592 612.3096923828125 605.2485961914062 None None None +5 1922 0.33330169320106506 612.3379516601562 605.2715454101562 None None None +5 1923 0.3332657814025879 612.3258056640625 605.2601318359375 None None None +5 1924 0.33328989148139954 612.3606567382812 605.29443359375 None None None +5 1925 0.33332616090774536 612.3810424804688 605.3140258789062 None None None +5 1926 0.33328354358673096 612.3612060546875 605.2950439453125 None None None +5 1927 0.3334307372570038 612.3710327148438 605.3017578125 None None None +5 1928 0.3335040807723999 612.386474609375 605.315673828125 None None None +5 1929 0.3334848880767822 612.4039916992188 605.3336181640625 None None None +5 1930 0.333588570356369 612.3997802734375 605.3271484375 None None None +5 1931 0.33358803391456604 612.3834228515625 605.3108520507812 None None None +5 1932 0.3336018919944763 612.3596801757812 605.2868041992188 None None None +5 1933 0.33360791206359863 612.33740234375 605.264404296875 None None None +5 1934 0.3336040675640106 612.3445434570312 605.2716064453125 None None None +5 1935 0.3336528241634369 612.3582153320312 605.2843017578125 None None None +5 1936 0.3336361050605774 612.3674926757812 605.2939453125 None None None +5 1937 0.3335801362991333 612.3563842773438 605.283935546875 None None None +5 1938 0.3335658013820648 612.3546752929688 605.2825317382812 None None None +5 1939 0.33363473415374756 612.3318481445312 605.25830078125 None None None +5 1940 0.3336982727050781 612.3292846679688 605.25439453125 None None None +5 1941 0.33372393250465393 612.3399658203125 605.2645263671875 None None None +5 1942 0.33373674750328064 612.3338012695312 605.258056640625 None None None +5 1943 0.3336867094039917 612.319580078125 605.2449340820312 None None None +5 1944 0.33368557691574097 612.3228149414062 605.2482299804688 None None None +5 1945 0.33372026681900024 612.3095703125 605.2342529296875 None None None +5 1946 0.3336651027202606 612.3486328125 605.2744750976562 None None None +5 1947 0.33365413546562195 612.388427734375 605.3145141601562 None None None +5 1948 0.3336161971092224 612.4115600585938 605.3385009765625 None None None +5 1949 0.33361372351646423 612.3955078125 605.3223876953125 None None None +5 1950 0.33354005217552185 612.3988647460938 605.327392578125 None None None +5 1951 0.333551824092865 612.3925170898438 605.32080078125 None None None +5 1952 0.33354324102401733 612.3850708007812 605.3135375976562 None None None +5 1953 0.3335849344730377 612.3711547851562 605.2986450195312 None None None +5 1954 0.3335364758968353 612.3633422851562 605.2919311523438 None None None +5 1955 0.3334827423095703 612.3626708984375 605.2924194335938 None None None +5 1956 0.33347055315971375 612.34375 605.273681640625 None None None +5 1957 0.33347010612487793 612.3222045898438 605.252197265625 None None None +5 1958 0.3334868550300598 612.3073120117188 605.2369384765625 None None None +5 1959 0.3335128426551819 612.340576171875 605.2696533203125 None None None +5 1960 0.3334718644618988 612.390869140625 605.32080078125 None None None +5 1961 0.3335041105747223 612.3794555664062 605.3087158203125 None None None +5 1962 0.3334660828113556 612.3809814453125 605.31103515625 None None None +5 1963 0.33344003558158875 612.4122924804688 605.3428955078125 None None None +5 1964 0.33339446783065796 612.3922729492188 605.3239135742188 None None None +5 1965 0.33349287509918213 612.4757690429688 605.4053344726562 None None None +5 1966 0.3335038423538208 612.4854125976562 605.414794921875 None None None +5 1967 0.3335244357585907 612.497802734375 605.4267578125 None None None +5 1968 0.3335281014442444 612.5255126953125 605.454345703125 None None None +5 1969 0.33347266912460327 612.541015625 605.4710693359375 None None None +5 1970 0.3334258794784546 612.5458984375 605.4769287109375 None None None +5 1971 0.33338066935539246 612.5682373046875 605.500244140625 None None None +5 1972 0.3333929777145386 612.531005859375 605.4628295898438 None None None +5 1973 0.3333623707294464 612.5650634765625 605.4974975585938 None None None +5 1974 0.33334046602249146 612.556884765625 605.4898071289062 None None None +5 1975 0.3333107829093933 612.5665893554688 605.5001220703125 None None None +5 1976 0.3333299160003662 612.5667724609375 605.4998779296875 None None None +5 1977 0.3332894742488861 612.5964965820312 605.5304565429688 None None None +5 1978 0.3332720696926117 612.5747680664062 605.5090942382812 None None None +5 1979 0.3332578241825104 612.6072387695312 605.5418701171875 None None None +5 1980 0.3332746624946594 612.6080322265625 605.542236328125 None None None +5 1981 0.33328065276145935 612.5903930664062 605.5244750976562 None None None +5 1982 0.3332202732563019 612.5900268554688 605.5253295898438 None None None +5 1983 0.3333355486392975 612.6118774414062 605.5447998046875 None None None +5 1984 0.33331164717674255 612.5999755859375 605.5333862304688 None None None +5 1985 0.33326470851898193 612.5711059570312 605.5054931640625 None None None +5 1986 0.3331969678401947 612.5819091796875 605.5177612304688 None None None +5 1987 0.33317261934280396 612.5399169921875 605.4762573242188 None None None +5 1988 0.3332555592060089 612.5032348632812 605.4378051757812 None 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0.30927643179893494 608.6370239257812 602.0805053710938 None None None +7 1862 0.3092447817325592 608.5970458984375 602.0411987304688 None None None +7 1863 0.30934858322143555 608.640625 602.0826416015625 None None None +7 1864 0.3093726634979248 608.6476440429688 602.0891723632812 None None None +7 1865 0.3093985617160797 608.6615600585938 602.1026000976562 None None None +7 1866 0.30934274196624756 608.6153564453125 602.0575561523438 None None None +7 1867 0.30937057733535767 608.6319580078125 602.0736083984375 None None None +7 1868 0.3093254268169403 608.651611328125 602.09423828125 None None None +7 1869 0.3092832863330841 608.6126098632812 602.0560913085938 None None None +7 1870 0.30923670530319214 608.597412109375 602.0419311523438 None None None +7 1871 0.3092328906059265 608.6220703125 602.066650390625 None None None +7 1872 0.30925416946411133 608.6397094726562 602.0839233398438 None None None +7 1873 0.309195876121521 608.6489868164062 602.0944213867188 None None None +7 1874 0.30918529629707336 608.6571044921875 602.102783203125 None None None +7 1875 0.3091970980167389 608.6696166992188 602.1150512695312 None None None +7 1876 0.3093072474002838 608.65869140625 602.1017456054688 None None None +7 1877 0.309333473443985 608.6582641601562 602.1007690429688 None None None +7 1878 0.309327632188797 608.58544921875 602.0281372070312 None None None +7 1879 0.30931058526039124 608.5843505859375 602.02734375 None None None +7 1880 0.30945295095443726 608.6422119140625 602.0821533203125 None None None +7 1881 0.3094795048236847 608.6122436523438 602.0516357421875 None None None +7 1882 0.30947378277778625 608.6438598632812 602.0833740234375 None None None +7 1883 0.3094819486141205 608.6533813476562 602.0927124023438 None None None +7 1884 0.30949220061302185 608.6237182617188 602.0628662109375 None None None +7 1885 0.30960890650749207 608.572998046875 602.0096435546875 None None None +7 1886 0.3097044825553894 608.60595703125 602.0405883789062 None None None +7 1887 0.3096908926963806 608.64892578125 602.0838623046875 None None None +7 1888 0.3096747100353241 608.6058959960938 602.0411987304688 None None None +7 1889 0.30964338779449463 608.6344604492188 602.0703735351562 None None None +7 1890 0.3096465766429901 608.6679077148438 602.1036987304688 None None None +7 1891 0.309618204832077 608.642333984375 602.0787353515625 None None None +7 1892 0.30962154269218445 608.64208984375 602.078369140625 None None None +7 1893 0.30958127975463867 608.5983276367188 602.0354614257812 None None None +7 1894 0.30955564975738525 608.6194458007812 602.0571899414062 None None None +7 1895 0.30956488847732544 608.617919921875 602.0554809570312 None None None +7 1896 0.3095739185810089 608.6328125 602.0701904296875 None None None +7 1897 0.30953869223594666 608.5838623046875 602.0220336914062 None None None +7 1898 0.3095068633556366 608.56884765625 602.0076904296875 None None None +7 1899 0.3095233738422394 608.5828857421875 602.0213623046875 None None None +7 1900 0.30949658155441284 608.5732421875 602.0122680664062 None None None +7 1901 0.30947014689445496 608.5767822265625 602.0164794921875 None None None +7 1902 0.3094548285007477 608.5440063476562 601.9840087890625 None None None +7 1903 0.3095095455646515 608.52001953125 601.9588623046875 None None None +7 1904 0.30951449275016785 608.5303955078125 601.9691162109375 None None None +7 1905 0.30948254466056824 608.5379028320312 601.977294921875 None None None +7 1906 0.30947378277778625 608.5220947265625 601.9616088867188 None None None +7 1907 0.30942949652671814 608.5186767578125 601.9591674804688 None None None +7 1908 0.3094163239002228 608.5350341796875 601.975830078125 None None None +7 1909 0.3094193935394287 608.5093994140625 601.9500732421875 None None None +7 1910 0.3094518482685089 608.5211791992188 601.961181640625 None None None +7 1911 0.3094438314437866 608.5205078125 601.960693359375 None None None +7 1912 0.30942678451538086 608.5028686523438 601.943359375 None None None +7 1913 0.30947941541671753 608.4899291992188 601.9293212890625 None None None +7 1914 0.309442400932312 608.4880981445312 601.9282836914062 None None None +7 1915 0.30939623713493347 608.4465942382812 601.8878173828125 None None None +7 1916 0.30939292907714844 608.44921875 601.8905639648438 None None None +7 1917 0.30964574217796326 608.4575805664062 601.8935546875 None None None +7 1918 0.309693306684494 608.5162353515625 601.951171875 None None None +7 1919 0.3096585273742676 608.4818725585938 601.91748046875 None None None +7 1920 0.3096894919872284 608.4714965820312 601.9064331054688 None None None +7 1921 0.3096688389778137 608.5179443359375 601.9533081054688 None None None +7 1922 0.30962517857551575 608.4785766601562 601.9148559570312 None None None +7 1923 0.30964359641075134 608.487060546875 601.9229736328125 None None None +7 1924 0.30962759256362915 608.4935913085938 601.9298095703125 None None None +7 1925 0.30964335799217224 608.4777221679688 601.91357421875 None None None +7 1926 0.30959925055503845 608.4759521484375 601.9127807617188 None None None +7 1927 0.3095715641975403 608.537353515625 601.9747314453125 None None None +7 1928 0.309603750705719 608.5043334960938 601.9410400390625 None None None +7 1929 0.30957192182540894 608.4915771484375 601.928955078125 None None None +7 1930 0.3095579147338867 608.4446411132812 601.88232421875 None None None +7 1931 0.30951282382011414 608.4458618164062 601.8845825195312 None None None +7 1932 0.3095688223838806 608.387451171875 601.824951171875 None None None +7 1933 0.3095502555370331 608.4295043945312 601.8673706054688 None None None +7 1934 0.3095623254776001 608.4511108398438 601.8887329101562 None None None +7 1935 0.30955204367637634 608.413818359375 601.8516235351562 None None None +7 1936 0.3095438480377197 608.4476928710938 601.8856811523438 None None None +7 1937 0.30952778458595276 608.4545288085938 601.892822265625 None None None +7 1938 0.3094900846481323 608.4595336914062 601.898681640625 None None None +7 1939 0.3094911575317383 608.5142822265625 601.9534301757812 None None None +7 1940 0.30944910645484924 608.5120239257812 601.9520263671875 None None None +7 1941 0.3095071315765381 608.5037231445312 601.9425048828125 None None None +7 1942 0.30946430563926697 608.5020141601562 601.9417114257812 None None None +7 1943 0.3095991909503937 608.5348510742188 601.9716796875 None None None +7 1944 0.3095918297767639 608.563720703125 602.000732421875 None None None +7 1945 0.3095753490924835 608.58837890625 602.0257568359375 None None None +7 1946 0.30962780117988586 608.5831909179688 602.0194091796875 None None None +7 1947 0.30962270498275757 608.5846557617188 602.0210571289062 None None None +7 1948 0.3096291124820709 608.5526733398438 601.989013671875 None None None +7 1949 0.3095903992652893 608.5104370117188 601.947509765625 None None None +7 1950 0.3095878064632416 608.52978515625 601.9669189453125 None None None +7 1951 0.309577077627182 608.5419311523438 601.9793090820312 None None None +7 1952 0.3095802068710327 608.5313110351562 601.9686279296875 None None None +7 1953 0.3096027970314026 608.5089111328125 601.9457397460938 None None None +7 1954 0.30957865715026855 608.5045776367188 601.94189453125 None None None +7 1955 0.30958762764930725 608.5123901367188 601.9495239257812 None None None +7 1956 0.30955561995506287 608.4835205078125 601.92138671875 None None None +7 1957 0.30955198407173157 608.48828125 601.9262084960938 None None None +7 1958 0.3095126152038574 608.460693359375 601.8994750976562 None None None +7 1959 0.3095869719982147 608.455810546875 601.89306640625 None None None +7 1960 0.3095691502094269 608.469482421875 601.9071044921875 None None None +7 1961 0.309543251991272 608.5029907226562 601.9411010742188 None None None +7 1962 0.30950620770454407 608.4930419921875 601.9319458007812 None None None +7 1963 0.30946773290634155 608.5103149414062 601.9500732421875 None None None +7 1964 0.30951735377311707 608.4558715820312 601.8945922851562 None None None +7 1965 0.309505820274353 608.4342041015625 601.8731689453125 None None None +7 1966 0.30952757596969604 608.4429931640625 601.8815307617188 None None None +7 1967 0.3094830811023712 608.4625854492188 601.902099609375 None None None +7 1968 0.30946028232574463 608.4528198242188 601.892822265625 None None None +7 1969 0.30953097343444824 608.4769287109375 601.9154663085938 None None None +7 1970 0.3095487058162689 608.4898071289062 601.927978515625 None None None +7 1971 0.3095508813858032 608.441650390625 601.8797607421875 None None None +7 1972 0.3095173239707947 608.4570922851562 601.8959350585938 None None None +7 1973 0.3094801902770996 608.4046020507812 601.84423828125 None None None +7 1974 0.30945098400115967 608.3756713867188 601.81591796875 None None None +7 1975 0.30946826934814453 608.3926391601562 601.8324584960938 None None None +7 1976 0.3094647526741028 608.3633422851562 601.8032836914062 None None None +7 1977 0.3094663619995117 608.3721923828125 601.8120727539062 None None None +7 1978 0.30953705310821533 608.3385620117188 601.7769775390625 None None None +7 1979 0.30948275327682495 608.3242797851562 601.7637939453125 None None None +7 1980 0.3094870448112488 608.3219604492188 601.7613525390625 None None None +7 1981 0.3094339966773987 608.3214721679688 601.7620239257812 None None None +7 1982 0.30941498279571533 608.2969970703125 601.7379150390625 None None None +7 1983 0.3094273805618286 608.3173217773438 601.7579345703125 None None None +7 1984 0.30942919850349426 608.307861328125 601.7484130859375 None None None +7 1985 0.30947020649909973 608.3125610351562 601.7523193359375 None None None +7 1986 0.30949676036834717 608.3056640625 601.7448120117188 None None None +7 1987 0.30946946144104004 608.2926635742188 601.732421875 None None None +7 1988 0.30947768688201904 608.2618408203125 601.701416015625 None None None +7 1989 0.3094712197780609 608.2842407226562 601.7239990234375 None None None +7 1990 0.3094465136528015 608.2844848632812 601.7247924804688 None None None +7 1991 0.3094373345375061 608.2616577148438 601.7021484375 None None None +7 1992 0.3094823658466339 608.2811889648438 601.720703125 None None None +7 1993 0.30946630239486694 608.339111328125 601.7789916992188 None None None +7 1994 0.3095334470272064 608.3258056640625 601.7642211914062 None None None +7 1995 0.3095209002494812 608.3211059570312 601.7598266601562 None None None +7 1996 0.3095608353614807 608.3001098632812 601.7379760742188 None None None +7 1997 0.3095719516277313 608.3005981445312 601.7382202148438 None None None +7 1998 0.3095511496067047 608.2948608398438 601.7330322265625 None None None +7 1999 0.30954352021217346 608.263671875 601.7019653320312 None None None +7 2000 0.30958622694015503 608.3170776367188 601.7544555664062 None None None +7 2001 0.30958688259124756 608.3206787109375 601.7581176757812 None None None +7 2002 0.3096240162849426 608.3604125976562 601.7970581054688 None None None +7 2003 0.3095802068710327 608.3651123046875 601.802734375 None None None +7 2004 0.3095904290676117 608.3758544921875 601.813232421875 None None None +7 2005 0.3095458745956421 608.3556518554688 601.7940063476562 None None None +7 2006 0.30956900119781494 608.324462890625 601.7622680664062 None None None +7 2007 0.30954453349113464 608.3406372070312 601.779052734375 None None None +7 2008 0.3095857799053192 608.3513793945312 601.788818359375 None None None +7 2009 0.3096064031124115 608.3165893554688 601.7535400390625 None None None +7 2010 0.3095914125442505 608.332275390625 601.7695922851562 None None None +7 2011 0.3095858693122864 608.3342895507812 601.7716674804688 None None None +7 2012 0.30960533022880554 608.3446044921875 601.7816162109375 None None None +7 2013 0.30962231755256653 608.3118896484375 601.7485961914062 None None None +7 2014 0.3096366822719574 608.2811279296875 601.7174682617188 None None None +7 2015 0.30968090891838074 608.2862548828125 601.7216796875 None None None +7 2016 0.3096815049648285 608.2706909179688 601.7061767578125 None None None +7 2017 0.30967962741851807 608.3056640625 601.7411499023438 None None None +7 2018 0.30964964628219604 608.3305053710938 601.7666625976562 None None None +7 2019 0.30967527627944946 608.3236083984375 601.7591552734375 None None None +7 2020 0.30965349078178406 608.3690185546875 601.8050537109375 None None None +7 2021 0.30962029099464417 608.3842163085938 601.8209838867188 None None None +7 2022 0.30961406230926514 608.4197998046875 601.8567504882812 None None None +7 2023 0.30956462025642395 608.4246826171875 601.8626708984375 None None None +7 2024 0.3095415532588959 608.3474731445312 601.7860107421875 None None None +7 2025 0.3096046447753906 608.33447265625 601.7716674804688 None None None +7 2026 0.30969035625457764 608.3677368164062 601.8031005859375 None None None +7 2027 0.30968615412712097 608.4010620117188 601.8364868164062 None 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601.6409301757812 None None None +7 2054 0.30954253673553467 608.1771850585938 601.6156005859375 None None None +7 2055 0.30949971079826355 608.1820678710938 601.621337890625 None None None +7 2056 0.3094976246356964 608.2022094726562 601.6416015625 None None None +7 2057 0.30981600284576416 608.2265014648438 601.6591796875 None None None +7 2058 0.30988946557044983 608.1935424804688 601.6246948242188 None None None +7 2059 0.30986475944519043 608.179443359375 601.611083984375 None None None +7 2060 0.30989301204681396 608.162841796875 601.5938720703125 None None None +7 2061 0.30986329913139343 608.1410522460938 601.57275390625 None None None +7 2062 0.30986887216567993 608.1259765625 601.5575561523438 None None None +7 2063 0.3098703920841217 608.1292724609375 601.560791015625 None None None +7 2064 0.3098376393318176 608.1773071289062 601.6095581054688 None None None +7 2065 0.30979081988334656 608.1909790039062 601.6242065429688 None None None +7 2066 0.3098165988922119 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0.30159008502960205 606.42138671875 600.0267944335938 None None None +8 1876 0.30163687467575073 606.3693237304688 599.9737548828125 None None None +8 1877 0.3016950190067291 606.4332275390625 600.0364990234375 None None None +8 1878 0.30169162154197693 606.450927734375 600.05419921875 None None None +8 1879 0.30170825123786926 606.4677734375 600.0707397460938 None None None +8 1880 0.30166104435920715 606.4243774414062 600.0283813476562 None None None +8 1881 0.3016315698623657 606.4373779296875 600.0419921875 None None None +8 1882 0.3015851080417633 606.4363403320312 600.0419311523438 None None None +8 1883 0.3016240894794464 606.3995361328125 600.00439453125 None None None +8 1884 0.30157214403152466 606.3785400390625 599.9844970703125 None None None +8 1885 0.30157017707824707 606.3701171875 599.9761352539062 None None None +8 1886 0.301617830991745 606.3338623046875 599.9388427734375 None None None +8 1887 0.3016119599342346 606.3162231445312 599.9213256835938 None None None +8 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None +8 1927 0.3012598156929016 606.2586669921875 599.8713989257812 None None None +8 1928 0.30125096440315247 606.25048828125 599.8634033203125 None None None +8 1929 0.30123406648635864 606.2510986328125 599.8643188476562 None None None +8 1930 0.301209032535553 606.2692260742188 599.8829345703125 None None None +8 1931 0.3011873960494995 606.2811889648438 599.8953857421875 None None None +8 1932 0.30120009183883667 606.296142578125 599.9100341796875 None None None +8 1933 0.3011617660522461 606.2940673828125 599.9088134765625 None None None +8 1934 0.3012579381465912 606.2982788085938 599.910888671875 None None None +8 1935 0.3012309670448303 606.3367309570312 599.949951171875 None None None +8 1936 0.30122098326683044 606.3186645507812 599.93212890625 None None None +8 1937 0.30118241906166077 606.3541259765625 599.9683837890625 None None None +8 1938 0.30119216442108154 606.3699340820312 599.9840087890625 None None None +8 1939 0.3011521100997925 606.3486328125 599.9636840820312 None None None +8 1940 0.30113157629966736 606.373779296875 599.9892578125 None None None +8 1941 0.3011077344417572 606.4012451171875 600.0172119140625 None None None +8 1942 0.30111920833587646 606.3929443359375 600.0086059570312 None None None +8 1943 0.30105361342430115 606.3645629882812 599.981689453125 None None None +8 1944 0.30108869075775146 606.3377685546875 599.9541625976562 None None None +8 1945 0.3010992109775543 606.32470703125 599.9408569335938 None None None +8 1946 0.3012385666370392 606.3364868164062 599.9496459960938 None None None +8 1947 0.30122116208076477 606.3409423828125 599.9545288085938 None None None +8 1948 0.3012162446975708 606.29833984375 599.9119873046875 None None None +8 1949 0.30121278762817383 606.3104248046875 599.9241943359375 None None None +8 1950 0.3011980950832367 606.3338623046875 599.9479370117188 None None None +8 1951 0.3011329174041748 606.3470458984375 599.96240234375 None None None +8 1952 0.3011219799518585 606.309326171875 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606.3435668945312 599.9579467773438 None None None +8 1966 0.30118364095687866 606.3501586914062 599.9644165039062 None None None +8 1967 0.301192969083786 606.3534545898438 599.967529296875 None None None +8 1968 0.3011891543865204 606.3648071289062 599.9789428710938 None None None +8 1969 0.3011574149131775 606.3350219726562 599.9498291015625 None None None +8 1970 0.3011538088321686 606.3297729492188 599.9446411132812 None None None +8 1971 0.30114221572875977 606.3153686523438 599.9304809570312 None None None +8 1972 0.30119919776916504 606.2971801757812 599.9111328125 None None None +8 1973 0.30119508504867554 606.2920532226562 599.9060668945312 None None None +8 1974 0.301148384809494 606.2882690429688 599.9033813476562 None None None +8 1975 0.30112674832344055 606.24658203125 599.8621215820312 None None None +8 1976 0.3011002838611603 606.2383422851562 599.8544311523438 None None None +8 1977 0.30112358927726746 606.2586059570312 599.8742065429688 None None None +8 1978 0.3011295199394226 606.2431640625 599.858642578125 None None None +8 1979 0.3011283278465271 606.2647094726562 599.8801879882812 None None None +8 1980 0.3011171221733093 606.289306640625 599.905029296875 None None None +8 1981 0.30112114548683167 606.314208984375 599.9298706054688 None None None +8 1982 0.3011261224746704 606.3504028320312 599.9659423828125 None None None +8 1983 0.3011431097984314 606.3572387695312 599.9724731445312 None None None +8 1984 0.3011798560619354 606.3455810546875 599.9600830078125 None None None +8 1985 0.30122196674346924 606.3359375 599.9495239257812 None None None +8 1986 0.30126485228538513 606.3668212890625 599.9794921875 None None None +8 1987 0.3013380765914917 606.35205078125 599.963134765625 None None None +8 1988 0.3013380169868469 606.3885498046875 599.9996948242188 None None None +8 1989 0.3013307452201843 606.4070434570312 600.0183715820312 None None None +8 1990 0.30129069089889526 606.4008178710938 600.012939453125 None None None +8 1991 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602.6481323242188 596.6116943359375 None None None +10 1916 0.28467872738838196 602.6465454101562 596.6106567382812 None None None +10 1917 0.28468310832977295 602.6592407226562 596.623291015625 None None None +10 1918 0.28468847274780273 602.6233520507812 596.5873413085938 None None None +10 1919 0.28468939661979675 602.5938110351562 596.5578002929688 None None None +10 1920 0.2847593128681183 602.563720703125 596.5262451171875 None None None +10 1921 0.2847833037376404 602.5664672851562 596.5285034179688 None None None +10 1922 0.28478217124938965 602.5802612304688 596.5422973632812 None None None +10 1923 0.28478559851646423 602.5459594726562 596.5079345703125 None None None +10 1924 0.2847793996334076 602.5390014648438 596.5011596679688 None None None +10 1925 0.2847217321395874 602.5281372070312 596.4915771484375 None None None +10 1926 0.2847493290901184 602.556884765625 596.5197143554688 None None None +10 1927 0.284731924533844 602.5481567382812 596.5114135742188 None None None +10 1928 0.28465354442596436 602.569091796875 596.533935546875 None None None +10 1929 0.2846842408180237 602.5971069335938 596.561279296875 None None None +10 1930 0.2846899628639221 602.5692749023438 596.5333251953125 None None None +10 1931 0.28468969464302063 602.5537109375 596.517822265625 None None None +10 1932 0.28467050194740295 602.580322265625 596.5447998046875 None None None +10 1933 0.2846353054046631 602.62548828125 596.5907592773438 None None None +10 1934 0.2846572697162628 602.6035766601562 596.568359375 None None None +10 1935 0.28465405106544495 602.5858154296875 596.5505981445312 None None None +10 1936 0.2846759259700775 602.611083984375 596.575439453125 None None None +10 1937 0.28466135263442993 602.579833984375 596.5444946289062 None None None +10 1938 0.28463903069496155 602.5847778320312 596.5499267578125 None None None +10 1939 0.28465455770492554 602.5712280273438 596.5360107421875 None None None +10 1940 0.2846401035785675 602.5468139648438 596.5119018554688 None None None +10 1941 0.28462696075439453 602.5179443359375 596.4833374023438 None None None +10 1942 0.28463131189346313 602.5040283203125 596.4692993164062 None None None +10 1943 0.2846076786518097 602.4744262695312 596.4401245117188 None None None +10 1944 0.28459954261779785 602.49267578125 596.4586181640625 None None None +10 1945 0.2846032679080963 602.4507446289062 596.4166259765625 None None None +10 1946 0.28457924723625183 602.41162109375 596.3779907226562 None None None +10 1947 0.28461429476737976 602.431640625 596.3973388671875 None None None +10 1948 0.2846396267414093 602.4293823242188 596.3944702148438 None None None +10 1949 0.28463366627693176 602.4271240234375 596.392333984375 None None None +10 1950 0.28469008207321167 602.4654541015625 596.429443359375 None None None +10 1951 0.28474023938179016 602.4774780273438 596.4403686523438 None None None +10 1952 0.28472059965133667 602.4920654296875 596.4554443359375 None None None +10 1953 0.2847228944301605 602.4742431640625 596.4375610351562 None None None +10 1954 0.2847750782966614 602.4463500976562 596.4086303710938 None None None +10 1955 0.28476637601852417 602.4830932617188 596.4454956054688 None None None +10 1956 0.284760445356369 602.4954223632812 596.4579467773438 None None None +10 1957 0.28475406765937805 602.5360717773438 596.498779296875 None None None +10 1958 0.28474050760269165 602.53564453125 596.4986572265625 None None None +10 1959 0.2847297787666321 602.528564453125 596.4917602539062 None None None +10 1960 0.28472843766212463 602.5181274414062 596.4813232421875 None None None +10 1961 0.28470999002456665 602.5361328125 596.4996948242188 None None None +10 1962 0.28473666310310364 602.5435791015625 596.5065307617188 None None None +10 1963 0.28471261262893677 602.597900390625 596.5614013671875 None None None +10 1964 0.2847002148628235 602.565673828125 596.5294799804688 None None None +10 1965 0.28467613458633423 602.564697265625 596.529052734375 None None None +10 1966 0.28465431928634644 602.564453125 596.5292358398438 None None None +10 1967 0.2846509516239166 602.6043090820312 596.5691528320312 None None None +10 1968 0.28465357422828674 602.6129760742188 596.5778198242188 None None None +10 1969 0.28463485836982727 602.627197265625 596.5924682617188 None None None +10 1970 0.2846280038356781 602.60986328125 596.5751953125 None None None +10 1971 0.28463080525398254 602.609619140625 596.574951171875 None None None +10 1972 0.28460878133773804 602.6448364257812 596.610595703125 None None None +10 1973 0.2845851480960846 602.645263671875 596.611572265625 None None None +10 1974 0.2845536470413208 602.6432495117188 596.6102294921875 None None None +10 1975 0.2845812439918518 602.63916015625 596.6055908203125 None None None +10 1976 0.2845516502857208 602.6318359375 596.598876953125 None None None +10 1977 0.2845240831375122 602.6875610351562 596.6552124023438 None None None +10 1978 0.28451940417289734 602.677490234375 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0.2845199406147003 602.7413940429688 596.709228515625 None None None +10 1992 0.28454095125198364 602.75146484375 596.7188110351562 None None None +10 1993 0.28450027108192444 602.794189453125 596.7623291015625 None None None +10 1994 0.28450143337249756 602.8031005859375 596.771240234375 None None None +10 1995 0.2845514118671417 602.7796020507812 596.7466430664062 None None None +10 1996 0.28459036350250244 602.7492065429688 596.7153930664062 None None None +10 1997 0.2846148908138275 602.7489624023438 596.7146606445312 None None None +10 1998 0.28466469049453735 602.77783203125 596.7424926757812 None None None +10 1999 0.28464066982269287 602.7488403320312 596.7139892578125 None None None +10 2000 0.2846184968948364 602.7714233398438 596.737060546875 None None None +10 2001 0.2845761179924011 602.7608642578125 596.7274780273438 None None None +10 2002 0.2846600115299225 602.7258911132812 596.6907348632812 None None None +10 2003 0.2846393585205078 602.7428588867188 596.7081298828125 None None None +10 2004 0.2846119999885559 602.8063354492188 596.772216796875 None None None +10 2005 0.28461840748786926 602.7987670898438 596.7644653320312 None None None +10 2006 0.2846125364303589 602.8221435546875 596.7879638671875 None None None +10 2007 0.284620076417923 602.8276977539062 596.79345703125 None None None +10 2008 0.2846374213695526 602.8200073242188 596.785400390625 None None None +10 2009 0.2846332788467407 602.831787109375 596.7972412109375 None None None +10 2010 0.2846745252609253 602.8549194335938 596.8195190429688 None None None +10 2011 0.2846899628639221 602.8523559570312 596.816650390625 None None None +10 2012 0.28468799591064453 602.8119506835938 596.7763061523438 None None None +10 2013 0.28467532992362976 602.8302001953125 596.7948608398438 None None None +10 2014 0.28469789028167725 602.8004760742188 596.7646484375 None None None +10 2015 0.2846522033214569 602.8255004882812 596.7905883789062 None None None +10 2016 0.2845751941204071 602.8157348632812 596.782470703125 None None None +10 2017 0.28456181287765503 602.8109130859375 596.7779541015625 None None None +10 2018 0.28452813625335693 602.83154296875 596.7992553710938 None None None +10 2019 0.2845843732357025 602.8282470703125 596.7947387695312 None None None +10 2020 0.2845781445503235 602.832275390625 596.7989501953125 None None None +10 2021 0.2845515310764313 602.7786865234375 596.7459106445312 None None None +10 2022 0.284525990486145 602.7392578125 596.7069702148438 None None None +10 2023 0.28451111912727356 602.7068481445312 596.6748657226562 None None None +10 2024 0.2845258116722107 602.698974609375 596.6666259765625 None None None +10 2025 0.2845192849636078 602.6913452148438 596.6591796875 None None None +10 2026 0.28456607460975647 602.6774291992188 596.644287109375 None None None +10 2027 0.28455889225006104 602.6898193359375 596.6568603515625 None None None +10 2028 0.28462091088294983 602.676513671875 596.6422729492188 None None None +10 2029 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594.1353759765625 588.7954711914062 None None None +12 1919 0.2518680691719055 594.1270751953125 588.7871704101562 None None None +12 1920 0.25184282660484314 594.1196899414062 588.7803344726562 None None None +12 1921 0.251827597618103 594.134033203125 588.794921875 None None None +12 1922 0.2518504858016968 594.1354370117188 588.7958984375 None None None +12 1923 0.2518461346626282 594.147216796875 588.8076782226562 None None None +12 1924 0.25184231996536255 594.1236572265625 588.7843017578125 None None None +12 1925 0.25184398889541626 594.0943603515625 588.7549438476562 None None None +12 1926 0.251820832490921 594.0880737304688 588.7491455078125 None None None +12 1927 0.25180354714393616 594.0938720703125 588.7553100585938 None None None +12 1928 0.2518208920955658 594.0655517578125 588.7266845703125 None None None +12 1929 0.2518163025379181 594.081787109375 588.7429809570312 None None None +12 1930 0.25178706645965576 594.0701293945312 588.73193359375 None None None +12 1931 0.25181642174720764 594.0577392578125 588.7189331054688 None None None +12 1932 0.2517545223236084 594.0538330078125 588.7163696289062 None None None +12 1933 0.25172191858291626 594.0047607421875 588.66796875 None None None +12 1934 0.25169461965560913 594.00927734375 588.673095703125 None None None +12 1935 0.25168684124946594 594.0178833007812 588.681884765625 None None None +12 1936 0.2516288459300995 593.998046875 588.6632690429688 None None None +12 1937 0.2516709864139557 594.00830078125 588.672607421875 None None None +12 1938 0.25165602564811707 594.0444946289062 588.7091064453125 None None None +12 1939 0.2516593635082245 594.0364990234375 588.7010498046875 None None None +12 1940 0.2516469955444336 594.0225830078125 588.6873168945312 None None None +12 1941 0.25168436765670776 594.02880859375 588.6927490234375 None None None +12 1942 0.25165584683418274 594.0201416015625 588.6847534179688 None None None +12 1943 0.2516516149044037 594.037353515625 588.7020263671875 None None None +12 1944 0.2516193091869354 594.03759765625 588.7029418945312 None None None +12 1945 0.2516496181488037 594.0556640625 588.7203979492188 None None None +12 1946 0.25162366032600403 594.0263061523438 588.6915893554688 None None None +12 1947 0.25165146589279175 594.022216796875 588.6868896484375 None None None +12 1948 0.2516394853591919 594.0276489257812 588.6925659179688 None None None +12 1949 0.25163236260414124 594.0325317382812 588.6976318359375 None None None +12 1950 0.2515920400619507 594.034912109375 588.7008056640625 None None None +12 1951 0.2515474259853363 594.052978515625 588.7198486328125 None None None +12 1952 0.2515391409397125 594.0428466796875 588.7098388671875 None None None +12 1953 0.2515493929386139 594.0515747070312 588.7183837890625 None None None +12 1954 0.25154250860214233 594.045654296875 588.7125244140625 None None None +12 1955 0.251519113779068 594.04443359375 588.7118530273438 None None None +12 1956 0.25152599811553955 594.053955078125 588.72119140625 None None None +12 1957 0.2514974772930145 594.0543823242188 588.72216796875 None None None +12 1958 0.2514575719833374 594.0536499023438 588.7222900390625 None None None +12 1959 0.25144633650779724 594.0692749023438 588.7382202148438 None None None +12 1960 0.25142166018486023 594.0835571289062 588.7529907226562 None None None +12 1961 0.25138452649116516 594.08447265625 588.7546997070312 None None None +12 1962 0.25133785605430603 594.075439453125 588.7467041015625 None None None +12 1963 0.25140759348869324 594.1224975585938 588.792236328125 None None None +12 1964 0.25139546394348145 594.1504516601562 588.8204345703125 None None None +12 1965 0.25134187936782837 594.0989990234375 588.7700805664062 None None None +12 1966 0.25131362676620483 594.0890502929688 588.7608032226562 None None None +12 1967 0.2512805461883545 594.1214599609375 588.7939453125 None None None +12 1968 0.25126364827156067 594.1576538085938 588.8305053710938 None None None +12 1969 0.2512763738632202 594.1394653320312 588.81201171875 None None None +12 1970 0.25123587250709534 594.1548461914062 588.8282470703125 None None None +12 1971 0.2512276768684387 594.1373901367188 588.8109741210938 None None None +12 1972 0.2512095272541046 594.1200561523438 588.7940063476562 None None None +12 1973 0.2512095272541046 594.1283569335938 588.8023681640625 None None None +12 1974 0.2512134611606598 594.1383666992188 588.8123168945312 None None None +12 1975 0.25116753578186035 594.1215209960938 588.7964477539062 None None None +12 1976 0.2511800527572632 594.0799560546875 588.7546997070312 None None None +12 1977 0.25117820501327515 594.063232421875 588.7379760742188 None None None +12 1978 0.25112733244895935 594.0397338867188 588.715576171875 None None None +12 1979 0.2511262893676758 594.0449829101562 588.7207641601562 None None None +12 1980 0.2511161267757416 594.02392578125 588.699951171875 None None None +12 1981 0.2510707378387451 594.03466796875 588.711669921875 None None None +12 1982 0.2510702908039093 594.0311279296875 588.7081298828125 None None None +12 1983 0.25101572275161743 594.0380859375 588.71630859375 None None None +12 1984 0.2510639429092407 594.036376953125 588.7135620117188 None None None +12 1985 0.25103554129600525 594.0385131835938 588.7162475585938 None None None +12 1986 0.25107985734939575 594.025146484375 588.701904296875 None None None +12 1987 0.2510543167591095 594.0000610351562 588.6773681640625 None None None +12 1988 0.25104042887687683 593.9586181640625 588.63623046875 None None None +12 1989 0.25104424357414246 594.0023193359375 588.6798095703125 None None None +12 1990 0.25102588534355164 594.02294921875 588.7008056640625 None None None +12 1991 0.2510199248790741 594.0263671875 588.704345703125 None None None +12 1992 0.25101906061172485 594.0704345703125 588.7484130859375 None None None +12 1993 0.251071572303772 594.0375366210938 588.7144775390625 None None None +12 1994 0.25107061862945557 594.0195922851562 588.6964721679688 None None None +12 1995 0.2510643005371094 594.0067749023438 588.683837890625 None None None +12 1996 0.25106993317604065 594.0060424804688 588.6829223632812 None None None +12 1997 0.25108838081359863 593.9863891601562 588.6629028320312 None None None +12 1998 0.25108134746551514 593.9733276367188 588.6500244140625 None None None +12 1999 0.25111234188079834 593.9658203125 588.641845703125 None None None +12 2000 0.25111106038093567 593.9721069335938 588.648193359375 None None None +12 2001 0.25113344192504883 593.9551391601562 588.6307373046875 None None None +12 2002 0.2510833442211151 593.9535522460938 588.6301879882812 None None None +12 2003 0.25107628107070923 593.9404907226562 588.6173095703125 None None None +12 2004 0.2511073052883148 593.9513549804688 588.6275024414062 None None None +12 2005 0.25106388330459595 593.9826049804688 588.6596069335938 None None None +12 2006 0.25116464495658875 593.9721069335938 588.6470336914062 None None None +12 2007 0.2511945068836212 594.0015869140625 588.6758422851562 None None None +12 2008 0.25123685598373413 593.9860229492188 588.659423828125 None None None +12 2009 0.2512085437774658 594.0032348632812 588.67724609375 None None None +12 2010 0.25119802355766296 593.98291015625 588.6571044921875 None None None +12 2011 0.2511945366859436 593.9956665039062 588.6699829101562 None None None +12 2012 0.25117284059524536 594.0138549804688 588.6886596679688 None None None +12 2013 0.25113245844841003 594.0184936523438 588.694091796875 None None None +12 2014 0.25108951330184937 594.0328369140625 588.7093505859375 None None None +12 2015 0.2511833906173706 594.0200805664062 588.6946411132812 None None None +12 2016 0.25119277834892273 594.0349731445312 588.7093505859375 None None None +12 2017 0.25118452310562134 594.075439453125 588.7499389648438 None None None +12 2018 0.2511821687221527 594.0347290039062 588.709228515625 None None None +12 2019 0.2512052655220032 594.0226440429688 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590.3720092773438 585.2925415039062 None None None +13 2411 0.23965832591056824 590.396484375 585.316650390625 None None None +13 2412 0.23968112468719482 590.3814697265625 585.3011474609375 None None None +13 2413 0.23969362676143646 590.3375854492188 585.2570190429688 None None None +13 2414 0.23967726528644562 590.3119506835938 585.2317504882812 None None None +13 2415 0.23968201875686646 590.288330078125 585.2080078125 None None None +13 2416 0.23975038528442383 590.2933959960938 585.211669921875 None None None diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.bias_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..f54aee3f20f4abcf555c3bdbef8ee626f4d278a6 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 02:21:55.262874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:57.565241: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:57.568587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 02:21:58.640181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:4b:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:58.640360: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:58.662624: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:58.662672: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:58.671977: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:58.676433: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:58.691966: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:58.696084: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:58.696998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.718637: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.719116: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 02:21:58.720676: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:58.724332: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:4b:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:58.724362: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:58.724381: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:58.724396: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:58.724409: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:58.724422: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:58.724434: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:58.724448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:58.724462: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.756726: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.758032: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:01.284656: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 02:22:01.284842: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 02:22:01.284857: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 02:22:01.293332: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:4b:00.0, compute capability: 8.0) +2023-07-15 02:22:02.521466: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.bias_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a78280a99f5f66ef862f6bf82ad0e5258303afc --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/new_model_formats/bias_model_scaled diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet.params.json b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..f3c270cbc8eac77baa41b2599662afa5099e3d27 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "21.2", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombpnet_model_encsr880cub_bias/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_data_params.tsv b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..a3c7be475b522b38ba568f7d145e349d0b511c59 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 15.0 +counts_sum_max_thresh 2784.38 +trainings_pts_post_thresh 169883 diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..88d4e2572aed8a6e99e9300e198d2ec1404a3751 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 01:17:31.419017: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:17:33.744230: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:17:33.747723: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 01:17:34.891149: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 01:17:34.891220: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:17:34.909154: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:17:34.909204: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:17:34.918424: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:17:34.922819: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:17:34.938145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:17:34.942235: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:17:34.943141: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:17:34.956501: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:17:34.956887: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 01:17:34.958048: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:17:34.964237: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 01:17:34.964281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:17:34.964310: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:17:34.964332: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:17:34.964352: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:17:34.964370: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:17:34.964388: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:17:34.964406: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:17:34.964424: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:17:35.006996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:17:35.009383: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:17:37.545024: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 01:17:37.545102: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 01:17:37.545114: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 01:17:37.551748: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:8a:00.0, compute capability: 8.0) +2023-07-15 01:17:39.628147: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..9eeef9af3fab5bc796ca98baf1205bb069416fe0 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/new_model_formats/chrombpnet diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_model_params.tsv b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..d441a959672a77a0d3b6e1c763af54c48da5136d --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 21.2 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombpnet_model_encsr880cub_bias/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..776e2f55db6c52c4d98016cd7344f0158fb2d1ea --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/new_model_formats/chrombpnet_wo_bias diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..776e2f55db6c52c4d98016cd7344f0158fb2d1ea --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombpnet_model_encsr880cub_bias/new_model_formats/chrombpnet_wo_bias diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.epoch_loss.csv b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..7754564532a4daa617ba2bcacf5470499332c49d --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.epoch_loss.csv @@ -0,0 +1,15 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.2736965417861938,656.3792114257812,683.3816528320312,0.4341786503791809,641.8375854492188,651.0419311523438 +1,0.4300093352794647,626.090087890625,635.2066650390625,0.37175512313842773,631.339111328125,639.2200927734375 +2,0.3893775939941406,617.0325317382812,625.2877807617188,0.342593252658844,628.4774169921875,635.7398071289062 +3,0.3646465539932251,612.2562866210938,619.9876708984375,0.3424767851829529,622.0447387695312,629.3049926757812 +4,0.34998831152915955,608.5652465820312,615.98388671875,0.3557874262332916,623.0818481445312,630.6246948242188 +5,0.33277401328086853,606.573974609375,613.6292724609375,0.32639995217323303,620.9458618164062,627.8653564453125 +6,0.31864649057388306,603.7263793945312,610.48193359375,0.3407517075538635,624.5986328125,631.8226928710938 +7,0.30934494733810425,601.7251586914062,608.2822875976562,0.31908825039863586,625.4269409179688,632.191650390625 +8,0.30006933212280273,599.7305297851562,606.0921630859375,0.2946407198905945,617.5032958984375,623.7498168945312 +9,0.29368865489959717,598.5294189453125,604.7554931640625,0.3251190185546875,622.0433959960938,628.9362182617188 +10,0.28534048795700073,596.4653930664062,602.5150146484375,0.365298867225647,620.6019287109375,628.3461303710938 +11,0.28042104840278625,595.636474609375,601.5810546875,0.2984112799167633,621.350830078125,627.67724609375 +12,0.2510327994823456,588.5736694335938,593.8953857421875,0.31508877873420715,620.3886108398438,627.06884765625 +13,0.23975038528442383,585.211669921875,590.2933959960938,0.29258930683135986,621.1826171875,627.3853759765625 diff --git a/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.stdout_v1.txt b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5849a3224452cb68f8a168c8d377f7db965d5848 --- /dev/null +++ b/fold_0/logs.models.fold_0.ENCSR417LPB/logfile.modelling.fold_0.ENCSR417LPB.stdout_v1.txt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:166064ccbb37f21c6d1afd00edce4c41e6694267b991ab4962d8d144551f83c2 +size 15274717 diff --git a/fold_0/model.bias_scaled.fold_0.ENCSR417LPB.h5 b/fold_0/model.bias_scaled.fold_0.ENCSR417LPB.h5 new file mode 100644 index 0000000000000000000000000000000000000000..21b0c2a44af577ade0f781911b7cdc0a95ebcaa4 --- /dev/null +++ b/fold_0/model.bias_scaled.fold_0.ENCSR417LPB.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2f760c101e35f1289fb600390103e68738a9cad964642920b50ad3dd909d8c8 +size 2688440 diff --git a/fold_0/model.bias_scaled.fold_0.ENCSR417LPB.tar b/fold_0/model.bias_scaled.fold_0.ENCSR417LPB.tar new file mode 100644 index 0000000000000000000000000000000000000000..98ca94635de3cd09d96b62135382cc163fec3d0d --- /dev/null +++ b/fold_0/model.bias_scaled.fold_0.ENCSR417LPB.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:887d3903310571933ce3a18b8fae3e2d9b42dac8f340f76cecc4c1a6545617b1 +size 1198080 diff --git a/fold_0/model.chrombpnet.fold_0.ENCSR417LPB.h5 b/fold_0/model.chrombpnet.fold_0.ENCSR417LPB.h5 new file mode 100644 index 0000000000000000000000000000000000000000..fba501ec3ce4f08e1a7220a1f88efb88ed2ec0ab --- /dev/null +++ b/fold_0/model.chrombpnet.fold_0.ENCSR417LPB.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:30eec1bc3f8447ec9a5ae464d3b0ffd85468e7707852728f511ee9e578236bc8 +size 26447928 diff --git a/fold_0/model.chrombpnet.fold_0.ENCSR417LPB.tar b/fold_0/model.chrombpnet.fold_0.ENCSR417LPB.tar new file mode 100644 index 0000000000000000000000000000000000000000..272e6320543adbf92a085dda0fb064bea9baeb6f --- /dev/null +++ b/fold_0/model.chrombpnet.fold_0.ENCSR417LPB.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e90985676cade6c0effb01ab7dbad97a585ad416d8129b221e174ebc759e6e44 +size 27607040 diff --git a/fold_0/model.chrombpnet_nobias.fold_0.ENCSR417LPB.h5 b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR417LPB.h5 new file mode 100644 index 0000000000000000000000000000000000000000..c1ce21e0cffe1832846ea6a05d4693935e12c127 --- /dev/null +++ b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR417LPB.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f2be7efe95dfdf31a93c3582662a72d0496a1cc810b07298f0fbae5795ae84b0 +size 25583536 diff --git a/fold_0/model.chrombpnet_nobias.fold_0.ENCSR417LPB.tar b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR417LPB.tar new file mode 100644 index 0000000000000000000000000000000000000000..ce3fce6e3c03b419059c3bf263732eeb7368ab97 --- /dev/null +++ b/fold_0/model.chrombpnet_nobias.fold_0.ENCSR417LPB.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9187cdfbf9e2a336cb7cbeb568e20611855f435c356e430f7c49d600a4241898 +size 26081280 diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.args.json b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.args.json new file mode 100644 index 0000000000000000000000000000000000000000..cba482fb1ca74ecf3477f67a5eccb37b79319203 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.batch_loss.tsv b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..7d9f46a405d6a04094fe00e8d8a801eae397d8d3 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.batch_loss.tsv @@ -0,0 +1,38401 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 3.1319198608398438 795.38525390625 728.988525390625 None None None +0 1 12.91904067993164 1012.5399169921875 738.65625 None None None +0 2 9.589489936828613 945.8756713867188 742.5784301757812 None None None +0 3 7.923269271850586 907.048583984375 739.0752563476562 None None None +0 4 6.8554229736328125 884.9796752929688 739.6447143554688 None None None +0 5 6.313235759735107 886.9697265625 753.129150390625 None None None +0 6 5.788605690002441 871.3292846679688 748.6109008789062 None None None +0 7 5.330630302429199 849.331298828125 736.322021484375 None None None +0 8 5.069855213165283 844.1608276367188 736.679931640625 None None None +0 9 4.819343566894531 830.7371826171875 728.567138671875 None None None +0 10 4.677016735076904 831.8947143554688 732.7420043945312 None None None +0 11 4.489564895629883 819.949462890625 724.770751953125 None None None +0 12 4.309082508087158 808.2719116210938 716.9194946289062 None None None +0 13 4.205090045928955 807.1722412109375 718.0244140625 None None None +0 14 4.126591205596924 808.5454711914062 721.061767578125 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1.3411458730697632 677.2527465820312 648.8217163085938 None None None +0 1795 1.3405671119689941 677.1968383789062 648.778076171875 None None None +0 1796 1.3400686979293823 677.1797485351562 648.771484375 None None None +0 1797 1.339594841003418 677.1650390625 648.766845703125 None None None +0 1798 1.3390485048294067 677.0994262695312 648.7127685546875 None None None +0 1799 1.3385173082351685 677.1130981445312 648.7377319335938 None None None +0 1800 1.3379863500595093 677.0732421875 648.7091064453125 None None None +0 1801 1.3374801874160767 677.0390014648438 648.6856079101562 None None None +0 1802 1.3369930982589722 677.0200805664062 648.677001953125 None None None +0 1803 1.3365368843078613 677.0061645507812 648.6727905273438 None None None +0 1804 1.3360193967819214 676.9733276367188 648.65087890625 None None None +0 1805 1.335548996925354 676.9168701171875 648.6043701171875 None None None +0 1806 1.335105299949646 676.914306640625 648.6111450195312 None None None +0 1807 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1.3222219944000244 676.52392578125 648.4940795898438 None None None +0 1834 1.3217393159866333 676.5533447265625 648.53369140625 None None None +0 1835 1.321279764175415 676.5874633789062 648.5775146484375 None None None +0 1836 1.3208019733428955 676.5585327148438 648.5587768554688 None None None +0 1837 1.3202261924743652 676.5335693359375 648.5460205078125 None None None +0 1838 1.319737195968628 676.5034790039062 648.5262451171875 None None None +0 1839 1.3192927837371826 676.4737548828125 648.5059814453125 None None None +0 1840 1.318904161453247 676.4707641601562 648.5111694335938 None None None +0 1841 1.3184634447097778 676.5 648.5497436523438 None None None +0 1842 1.3180338144302368 676.474609375 648.533447265625 None None None +0 1843 1.317552089691162 676.4241943359375 648.4932250976562 None None None +0 1844 1.3170548677444458 676.4198608398438 648.4993896484375 None None None +0 1845 1.3165709972381592 676.3920288085938 648.4818725585938 None None None +0 1846 1.3160412311553955 676.3218383789062 648.4228515625 None None None +0 1847 1.3155035972595215 676.2718505859375 648.3842163085938 None None None +0 1848 1.3149933815002441 676.2236938476562 648.346923828125 None None None +0 1849 1.3145722150802612 676.2113647460938 648.343505859375 None None None +0 1850 1.3140891790390015 676.1337280273438 648.276123046875 None None None +0 1851 1.3135923147201538 676.1580200195312 648.3109741210938 None None None +0 1852 1.3131166696548462 676.1480712890625 648.3110961914062 None None None +0 1853 1.3126134872436523 676.11474609375 648.2884521484375 None None None +0 1854 1.312131404876709 676.0989379882812 648.2828979492188 None None None +0 1855 1.3117249011993408 676.1240234375 648.3165893554688 None None None +0 1856 1.311287760734558 676.114013671875 648.3157958984375 None None None +0 1857 1.3107956647872925 676.0844116210938 648.296630859375 None None None +0 1858 1.310298204421997 676.0365600585938 648.2593994140625 None None None +0 1859 1.3097572326660156 676.0409545898438 648.2752075195312 None None None +0 1860 1.3093197345733643 676.04052734375 648.2840576171875 None None None +0 1861 1.3088810443878174 676.0556640625 648.3084716796875 None None None +0 1862 1.3083781003952026 676.0839233398438 648.347412109375 None None None +0 1863 1.3078944683074951 676.0726318359375 648.3463745117188 None None None +0 1864 1.307405710220337 676.0718994140625 648.35595703125 None None None +0 1865 1.3069684505462646 676.0844116210938 648.3778076171875 None None None +0 1866 1.3065836429595947 676.081787109375 648.38330078125 None None None +0 1867 1.306160807609558 676.0794067382812 648.3898315429688 None None None +0 1868 1.3056766986846924 676.046142578125 648.3668823242188 None None None +0 1869 1.3052024841308594 676.026123046875 648.35693359375 None None None +0 1870 1.3047244548797607 676.0264892578125 648.3673706054688 None None None +0 1871 1.304275631904602 676.0040283203125 648.3544311523438 None None None +0 1872 1.303852915763855 675.9898681640625 648.3491821289062 None None None +0 1873 1.3032937049865723 675.9605102539062 648.3317260742188 None None None +0 1874 1.3028208017349243 675.922607421875 648.3038330078125 None None None +0 1875 1.302331566810608 675.9163818359375 648.3079223632812 None None None +0 1876 1.3018392324447632 675.891357421875 648.2933959960938 None None None +0 1877 1.3014179468154907 675.9093627929688 648.3203735351562 None None None +0 1878 1.3009741306304932 675.89794921875 648.318359375 None None None +0 1879 1.3005295991897583 675.8125 648.2423706054688 None None None +0 1880 1.300014615058899 675.8433837890625 648.2841796875 None None None +0 1881 1.2995139360427856 675.856201171875 648.3076171875 None None None +0 1882 1.2990535497665405 675.8419799804688 648.3031005859375 None None None +0 1883 1.2985823154449463 675.7841796875 648.2553100585938 None None None +0 1884 1.2980855703353882 675.7260131835938 648.2076416015625 None None None +0 1885 1.2975927591323853 675.6954345703125 648.1875 None None None +0 1886 1.2971051931381226 675.6652221679688 648.1676635742188 None None None +0 1887 1.296590805053711 675.6184692382812 648.1317749023438 None None None +0 1888 1.2960673570632935 675.5853881835938 648.1098022460938 None None None +0 1889 1.2955634593963623 675.5597534179688 648.0948486328125 None None None +0 1890 1.2951109409332275 675.575439453125 648.1201171875 None None None +0 1891 1.2946300506591797 675.53955078125 648.0944213867188 None None None +0 1892 1.294232964515686 675.4815673828125 648.0448608398438 None None None +0 1893 1.293831706047058 675.4741821289062 648.0459594726562 None None None +0 1894 1.2932987213134766 675.4346923828125 648.0177612304688 None None None +0 1895 1.2928191423416138 675.4616088867188 648.0548706054688 None None None +0 1896 1.2923134565353394 675.3756713867188 647.9796752929688 None None None +0 1897 1.2918727397918701 675.311279296875 647.9246215820312 None None None +0 1898 1.29145085811615 675.301513671875 647.9238891601562 None None None +0 1899 1.2909938097000122 675.2900390625 647.9220581054688 None None None +0 1900 1.2906123399734497 675.3056030273438 647.9457397460938 None None None +0 1901 1.2901283502578735 675.31982421875 647.9701538085938 None None None +0 1902 1.2897049188613892 675.2610473632812 647.9202880859375 None None None +0 1903 1.2892125844955444 675.2427368164062 647.9125366210938 None None None +0 1904 1.28875732421875 675.2403564453125 647.9197387695312 None None None +0 1905 1.2882740497589111 675.2513427734375 647.9410400390625 None None None +0 1906 1.287819504737854 675.1759643554688 647.8753051757812 None None None +0 1907 1.2873531579971313 675.12890625 647.838134765625 None None None +0 1908 1.286961555480957 675.0718994140625 647.7894287109375 None None None +0 1909 1.2864511013031006 675.0872192382812 647.8156127929688 None None None +0 1910 1.285949945449829 675.0667114257812 647.8056640625 None None None +0 1911 1.2855989933013916 675.064208984375 647.810546875 None None None +0 1912 1.2852294445037842 675.0525512695312 647.8067016601562 None None None +0 1913 1.2848451137542725 674.9954223632812 647.7576904296875 None None None +0 1914 1.2844181060791016 674.971435546875 647.7427978515625 None None None +0 1915 1.283994197845459 674.9384155273438 647.7188110351562 None None None +0 1916 1.2835081815719604 674.9080200195312 647.6986694335938 None None None +0 1917 1.2830432653427124 674.8927612304688 647.6932983398438 None None None +0 1918 1.2826040983200073 674.8579711914062 647.6677856445312 None None None +0 1919 1.2822679281234741 674.8517456054688 647.668701171875 None None None +0 1920 1.2818504571914673 674.8341674804688 647.6599731445312 None None None +0 1921 1.2813389301300049 674.8343505859375 647.6710815429688 None None None +0 1922 1.2809017896652222 674.8204345703125 647.6664428710938 None None None +0 1923 1.2804685831069946 674.7998657226562 647.655029296875 None None None +0 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1.2744042873382568 674.3972778320312 647.3809204101562 None None None +0 1938 1.2739447355270386 674.3536376953125 647.3470458984375 None None None +0 1939 1.2735377550125122 674.3192749023438 647.3212280273438 None None None +0 1940 1.2730716466903687 674.2680053710938 647.27978515625 None None None +0 1941 1.2726455926895142 674.2814331054688 647.30224609375 None None None +0 1942 1.2721672058105469 674.2199096679688 647.2509155273438 None None None +0 1943 1.271742820739746 674.2276611328125 647.2677001953125 None None None +0 1944 1.2712657451629639 674.2114868164062 647.2615966796875 None None None +0 1945 1.2707949876785278 674.2374877929688 647.2976684570312 None None None +0 1946 1.2703509330749512 674.2623291015625 647.3318481445312 None None None +0 1947 1.270056128501892 674.2518920898438 647.3276977539062 None None None +0 1948 1.269614338874817 674.2408447265625 647.3260498046875 None None None +0 1949 1.2691502571105957 674.2195434570312 647.3145751953125 None None None 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0.32175981998443604 604.7260131835938 597.9044799804688 None None None +5 1836 0.32174786925315857 604.72119140625 597.89990234375 None None None +5 1837 0.3217473328113556 604.6864624023438 597.8651733398438 None None None +5 1838 0.3217834234237671 604.6768798828125 597.8547973632812 None None None +5 1839 0.3217300474643707 604.6915893554688 597.8706665039062 None None None +5 1840 0.3217593729496002 604.6728515625 597.851318359375 None None None +5 1841 0.32180526852607727 604.6822509765625 597.8597412109375 None None None +5 1842 0.32178476452827454 604.6250610351562 597.8029174804688 None None None +5 1843 0.32181572914123535 604.6185302734375 597.7957763671875 None None None +5 1844 0.3217708468437195 604.6358642578125 597.8141479492188 None None None +5 1845 0.3217821717262268 604.6578979492188 597.8359375 None None None +5 1846 0.32179567217826843 604.6502075195312 597.8279418945312 None None None +5 1847 0.3218279778957367 604.6690673828125 597.84619140625 None None None +5 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None +5 1861 0.32157576084136963 604.7003784179688 597.8829345703125 None None None +5 1862 0.3215230107307434 604.7633056640625 597.9469604492188 None None None +5 1863 0.32158419489860535 604.7575073242188 597.9398803710938 None None None +5 1864 0.3215824067592621 604.699951171875 597.88232421875 None None None +5 1865 0.3215329945087433 604.6411743164062 597.8245849609375 None None None +5 1866 0.3215644955635071 604.60986328125 597.7925415039062 None None None +5 1867 0.32160264253616333 604.6222534179688 597.80419921875 None None None +5 1868 0.3216607868671417 604.6303100585938 597.81103515625 None None None +5 1869 0.3216610848903656 604.6422729492188 597.8230590820312 None None None +5 1870 0.3216516375541687 604.61083984375 597.7918090820312 None None None +5 1871 0.32161757349967957 604.6442260742188 597.825927734375 None None None +5 1872 0.3215790092945099 604.6397094726562 597.8222045898438 None None None +5 1873 0.321572482585907 604.6701049804688 597.8526611328125 None 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604.7820434570312 597.9620971679688 None None None +5 1900 0.3216836154460907 604.807373046875 597.9874267578125 None None None +5 1901 0.32168063521385193 604.80810546875 597.9882202148438 None None None +5 1902 0.3216644823551178 604.7870483398438 597.9674682617188 None None None +5 1903 0.3217194974422455 604.7650146484375 597.9442138671875 None None None +5 1904 0.32168686389923096 604.7695922851562 597.9495239257812 None None None +5 1905 0.321639746427536 604.7434692382812 597.9243774414062 None None None +5 1906 0.32162508368492126 604.7512817382812 597.9324951171875 None None None +5 1907 0.3216022849082947 604.7505493164062 597.9322509765625 None None None +5 1908 0.3216356039047241 604.7653198242188 597.9464111328125 None None None +5 1909 0.32160961627960205 604.7553100585938 597.9368896484375 None None None +5 1910 0.3216187655925751 604.7725830078125 597.9539794921875 None None None +5 1911 0.32160380482673645 604.78076171875 597.9625244140625 None None None +5 1912 0.3216189742088318 604.806884765625 597.9883422851562 None None None +5 1913 0.32170894742012024 604.780517578125 597.9600830078125 None None None +5 1914 0.3217277526855469 604.7732543945312 597.952392578125 None None None +5 1915 0.32173803448677063 604.7506103515625 597.9295043945312 None None None +5 1916 0.3217580318450928 604.7259521484375 597.9044189453125 None None None +5 1917 0.3217071294784546 604.724609375 597.9041137695312 None None None +5 1918 0.3216700553894043 604.7034912109375 597.8837890625 None None None +5 1919 0.3216528594493866 604.67236328125 597.85302734375 None None None +5 1920 0.3216562867164612 604.6619873046875 597.8426513671875 None None None +5 1921 0.32167038321495056 604.6083374023438 597.7886962890625 None None None +5 1922 0.3217061758041382 604.6207885742188 597.8004150390625 None None None +5 1923 0.321709007024765 604.6195068359375 597.799072265625 None None None +5 1924 0.32166701555252075 604.6292114257812 597.8096313476562 None None None +5 1925 0.3216038942337036 604.6121826171875 597.7940063476562 None None None +5 1926 0.3216240704059601 604.60009765625 597.781494140625 None None None +5 1927 0.32164087891578674 604.57666015625 597.7576904296875 None None None +5 1928 0.3216574788093567 604.5835571289062 597.7642211914062 None None None +5 1929 0.3216298818588257 604.6180419921875 597.7992553710938 None None None +5 1930 0.321604460477829 604.6593017578125 597.8410034179688 None None None +5 1931 0.3215661942958832 604.6572265625 597.8397216796875 None None None +5 1932 0.32150349020957947 604.6751708984375 597.8590087890625 None None None +5 1933 0.3214660584926605 604.6549072265625 597.8394775390625 None None None +5 1934 0.3214682638645172 604.6450805664062 597.8296508789062 None None None +5 1935 0.3214050829410553 604.6267700195312 597.8126831054688 None None None +5 1936 0.3213678002357483 604.5933227539062 597.780029296875 None None None +5 1937 0.32144778966903687 604.6088256835938 597.7938232421875 None None None +5 1938 0.32147812843322754 604.6355590820312 597.8198852539062 None None None +5 1939 0.32147160172462463 604.595947265625 597.7804565429688 None None None +5 1940 0.3214316964149475 604.588623046875 597.77392578125 None None None +5 1941 0.3213886320590973 604.5853881835938 597.7716064453125 None None None +5 1942 0.3214070796966553 604.5816650390625 597.7674560546875 None None None +5 1943 0.32140111923217773 604.5595092773438 597.7454223632812 None None None +5 1944 0.32141247391700745 604.5686645507812 597.7543334960938 None None None +5 1945 0.3213856518268585 604.5304565429688 597.7166748046875 None None None +5 1946 0.32134753465652466 604.5119018554688 597.6989135742188 None None None +5 1947 0.3213152587413788 604.4898071289062 597.6775512695312 None None None +5 1948 0.32131803035736084 604.4636840820312 597.6514282226562 None None None +5 1949 0.32129016518592834 604.4458618164062 597.6342163085938 None None None +5 1950 0.32126981019973755 604.4685668945312 597.6573486328125 None None None +5 1951 0.32124578952789307 604.4610595703125 597.6504516601562 None None None +5 1952 0.32123178243637085 604.4990234375 597.688720703125 None None None +5 1953 0.32126307487487793 604.4712524414062 597.6602783203125 None None None +5 1954 0.3212684094905853 604.4971923828125 597.68603515625 None None None +5 1955 0.32122957706451416 604.4690551757812 597.65869140625 None None None +5 1956 0.32119280099868774 604.4408569335938 597.6311645507812 None None None +5 1957 0.3211424648761749 604.4542236328125 597.6456298828125 None None None +5 1958 0.32116058468818665 604.4989624023438 597.6900024414062 None None None +5 1959 0.32117971777915955 604.5012817382812 597.69189453125 None None None +5 1960 0.32122179865837097 604.5029907226562 597.6927490234375 None None None +5 1961 0.32126563787460327 604.466552734375 597.6553955078125 None None None +5 1962 0.32123443484306335 604.5223999023438 597.7119140625 None None None +5 1963 0.3212316632270813 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0.32122907042503357 604.4061889648438 597.595947265625 None None None +5 1977 0.3212777078151703 604.3878784179688 597.5765991210938 None None None +5 1978 0.3212431073188782 604.38427734375 597.5736694335938 None None None +5 1979 0.3212452530860901 604.453369140625 597.6427612304688 None None None +5 1980 0.3212519586086273 604.483154296875 597.6724243164062 None None None +5 1981 0.3212418854236603 604.4805908203125 597.6700439453125 None None None +5 1982 0.321219801902771 604.4981689453125 597.6881103515625 None None None +5 1983 0.321232408285141 604.4841918945312 597.673828125 None None None +5 1984 0.3212572932243347 604.467041015625 597.6561889648438 None None None +5 1985 0.3212573826313019 604.4962768554688 597.6854248046875 None None None +5 1986 0.3212439715862274 604.468505859375 597.657958984375 None None None +5 1987 0.3212226927280426 604.436279296875 597.6261596679688 None None None +5 1988 0.32121866941452026 604.4091796875 597.5991821289062 None None None +5 1989 0.3211996257305145 604.4063720703125 597.5968017578125 None None None +5 1990 0.3212592601776123 604.4146728515625 597.6038208007812 None None None +5 1991 0.3213202953338623 604.4503173828125 597.63818359375 None None None +5 1992 0.3213482201099396 604.4368896484375 597.6242065429688 None None None +5 1993 0.3213697373867035 604.4547119140625 597.6415405273438 None None None +5 1994 0.32132887840270996 604.4749755859375 597.6626586914062 None None None +5 1995 0.32132720947265625 604.4632568359375 597.6509399414062 None None None +5 1996 0.32129809260368347 604.447509765625 597.6358642578125 None None None +5 1997 0.321274995803833 604.4072875976562 597.5961303710938 None None None +5 1998 0.32132551074028015 604.4362182617188 597.6240234375 None None None +5 1999 0.3213156759738922 604.4450073242188 597.6329956054688 None None None +5 2000 0.3213210999965668 604.4271850585938 597.6151123046875 None None None +5 2001 0.321279913187027 604.4417114257812 597.6305541992188 None None 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600.16455078125 593.7208862304688 None None None +7 1844 0.3039643168449402 600.1941528320312 593.74951171875 None None None +7 1845 0.30405011773109436 600.2033081054688 593.7567749023438 None None None +7 1846 0.3040882647037506 600.2225952148438 593.7752685546875 None None None +7 1847 0.3040306568145752 600.2320556640625 593.7859497070312 None None None +7 1848 0.30400899052619934 600.2395629882812 593.7939453125 None None None +7 1849 0.3040253520011902 600.2288208007812 593.7828369140625 None None None +7 1850 0.3040737211704254 600.260009765625 593.8129272460938 None None None +7 1851 0.30409693717956543 600.2456665039062 593.798095703125 None None None +7 1852 0.30407488346099854 600.22509765625 593.7779541015625 None None None +7 1853 0.30405330657958984 600.1822509765625 593.7355346679688 None None None +7 1854 0.30407533049583435 600.2098999023438 593.7627563476562 None None None +7 1855 0.30403751134872437 600.2213745117188 593.7750854492188 None None None +7 1856 0.304012268781662 600.209716796875 593.7640380859375 None None None +7 1857 0.3039766848087311 600.1869506835938 593.741943359375 None None None +7 1858 0.3040132522583008 600.1622314453125 593.7164916992188 None None None +7 1859 0.30399394035339355 600.2125854492188 593.7671508789062 None None None +7 1860 0.30395591259002686 600.18798828125 593.7434692382812 None None None +7 1861 0.3039291501045227 600.1865844726562 593.7426147460938 None None None +7 1862 0.3039613962173462 600.2105102539062 593.7659301757812 None None None +7 1863 0.3039546310901642 600.1968994140625 593.75244140625 None None None +7 1864 0.30394062399864197 600.1770629882812 593.73291015625 None None None +7 1865 0.30391067266464233 600.189453125 593.7459716796875 None None None +7 1866 0.30386632680892944 600.2308349609375 593.788330078125 None None None +7 1867 0.3038399815559387 600.207763671875 593.7658081054688 None None None +7 1868 0.30383121967315674 600.2562866210938 593.8145141601562 None None None +7 1869 0.3038131296634674 600.228271484375 593.786865234375 None None None +7 1870 0.3038378953933716 600.1822509765625 593.7402954101562 None None None +7 1871 0.30382195115089417 600.1867065429688 593.7449951171875 None None None +7 1872 0.30378997325897217 600.1697998046875 593.7288818359375 None None None +7 1873 0.3037692606449127 600.1830444335938 593.7424926757812 None None None +7 1874 0.3037649095058441 600.1651611328125 593.7247314453125 None None None +7 1875 0.30375200510025024 600.091064453125 593.65087890625 None None None +7 1876 0.3037155866622925 600.1117553710938 593.67236328125 None None None +7 1877 0.3036828935146332 600.0885009765625 593.6497802734375 None None None +7 1878 0.3036845922470093 600.0919799804688 593.6531982421875 None None None +7 1879 0.3036690354347229 600.1022338867188 593.663818359375 None None None +7 1880 0.303659588098526 600.1300048828125 593.6917724609375 None None None +7 1881 0.3036108613014221 600.080810546875 593.6436157226562 None None None +7 1882 0.3036040961742401 600.0930786132812 593.6560668945312 None None None +7 1883 0.3036079704761505 600.1023559570312 593.6652221679688 None None None +7 1884 0.3035988509654999 600.1017456054688 593.664794921875 None None None +7 1885 0.3036034107208252 600.0653686523438 593.6282958984375 None None None +7 1886 0.3035770356655121 600.0541381835938 593.6176147460938 None None None +7 1887 0.3036438524723053 600.0521850585938 593.6142578125 None None None +7 1888 0.30366629362106323 600.0765380859375 593.63818359375 None None None +7 1889 0.30364906787872314 600.0584716796875 593.6204833984375 None None None +7 1890 0.3036153316497803 600.0479125976562 593.6106567382812 None None None +7 1891 0.30360209941864014 600.0492553710938 593.6122436523438 None None None +7 1892 0.3035593628883362 600.0398559570312 593.6036987304688 None None None +7 1893 0.303533673286438 600.0632934570312 593.6277465820312 None None None +7 1894 0.3034871816635132 600.0872192382812 593.6526489257812 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600.2318725585938 593.8114013671875 None None None +7 1947 0.3028412163257599 600.2283935546875 593.8075561523438 None None None +7 1948 0.3028697073459625 600.2416381835938 593.8202514648438 None None None +7 1949 0.30286872386932373 600.2540283203125 593.8327026367188 None None None +7 1950 0.30286267399787903 600.2200317382812 593.798828125 None None None +7 1951 0.3028580844402313 600.2128295898438 593.791748046875 None None None +7 1952 0.30286943912506104 600.2330322265625 593.8116455078125 None None None +7 1953 0.30282071232795715 600.23095703125 593.810546875 None None None +7 1954 0.3028554916381836 600.2042236328125 593.7830810546875 None None None +7 1955 0.3028022050857544 600.2367553710938 593.8168334960938 None None None +7 1956 0.3028077185153961 600.2017822265625 593.78173828125 None None None +7 1957 0.30286023020744324 600.171630859375 593.75048828125 None None None +7 1958 0.30284732580184937 600.1746215820312 593.7537231445312 None None None +7 1959 0.30280357599258423 600.1563720703125 593.7363891601562 None None None +7 1960 0.30278876423835754 600.1614990234375 593.7418212890625 None None None +7 1961 0.30276668071746826 600.1622314453125 593.7430419921875 None None None +7 1962 0.30276060104370117 600.1533203125 593.7341918945312 None None None +7 1963 0.30281394720077515 600.171875 593.7516479492188 None None None +7 1964 0.30282291769981384 600.186767578125 593.7662963867188 None None None +7 1965 0.30275508761405945 600.1683349609375 593.7493286132812 None None None +7 1966 0.3028111755847931 600.1698608398438 593.7496337890625 None None None +7 1967 0.30280059576034546 600.1407470703125 593.7207641601562 None None None +7 1968 0.30277201533317566 600.1339721679688 593.7146606445312 None None None +7 1969 0.30278754234313965 600.157470703125 593.7378540039062 None None None +7 1970 0.30276304483413696 600.1492919921875 593.7301635742188 None None None +7 1971 0.30276548862457275 600.1893920898438 593.770263671875 None None None +7 1972 0.3027830719947815 600.1930541992188 593.7735595703125 None None None +7 1973 0.30282750725746155 600.1851196289062 593.7646484375 None None None +7 1974 0.3028374910354614 600.2091064453125 593.7884521484375 None None None +7 1975 0.30285197496414185 600.2648315429688 593.8438720703125 None None None +7 1976 0.30278900265693665 600.2335815429688 593.81396484375 None None None +7 1977 0.302849680185318 600.26708984375 593.84619140625 None None None +7 1978 0.3028334677219391 600.2499389648438 593.8294067382812 None None None +7 1979 0.3027886152267456 600.2415771484375 593.822021484375 None None None +7 1980 0.30277836322784424 600.2371215820312 593.8177490234375 None None None +7 1981 0.3027627766132355 600.2730712890625 593.8540649414062 None None None +7 1982 0.30277127027511597 600.27197265625 593.8527221679688 None None None +7 1983 0.30275705456733704 600.21923828125 593.8003540039062 None None None +7 1984 0.3027288615703583 600.2129516601562 593.794677734375 None None None +7 1985 0.3027443289756775 600.2102661132812 593.7916870117188 None None None +7 1986 0.30270451307296753 600.1928100585938 593.7750854492188 None None None +7 1987 0.3026793897151947 600.2129516601562 593.7957763671875 None None None +7 1988 0.30269190669059753 600.2059326171875 593.7885131835938 None None None +7 1989 0.3026791214942932 600.18994140625 593.7727661132812 None None None +7 1990 0.30265673995018005 600.1932983398438 593.7766723632812 None None None +7 1991 0.3027156591415405 600.1624755859375 593.7445678710938 None None None +7 1992 0.3027395009994507 600.1547241210938 593.7362060546875 None None None +7 1993 0.30270159244537354 600.1597900390625 593.7420654296875 None None None +7 1994 0.30267998576164246 600.1460571289062 593.728759765625 None None None +7 1995 0.3026619553565979 600.1414794921875 593.7246704101562 None None None +7 1996 0.3026459515094757 600.203125 593.78662109375 None None None +7 1997 0.3025601804256439 600.2508544921875 593.836181640625 None None None +7 1998 0.3025968670845032 600.2769165039062 593.8615112304688 None None None +7 1999 0.302701860666275 600.2786254882812 593.8610229492188 None None None +7 2000 0.3026932179927826 600.25537109375 593.837890625 None None None +7 2001 0.30279460549354553 600.2297973632812 593.8101196289062 None None None +7 2002 0.3028234541416168 600.2107543945312 593.7904663085938 None None None +7 2003 0.3028397560119629 600.19970703125 593.7791137695312 None None None +7 2004 0.30277910828590393 600.1553955078125 593.736083984375 None None None +7 2005 0.3027799427509308 600.1533813476562 593.7340698242188 None None None +7 2006 0.3027566373348236 600.124755859375 593.7059936523438 None None None +7 2007 0.3027738928794861 600.1284790039062 593.709228515625 None None None +7 2008 0.30283018946647644 600.1024169921875 593.6820678710938 None None None +7 2009 0.3027842342853546 600.090576171875 593.671142578125 None None None +7 2010 0.3027797341346741 600.0919799804688 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None None +8 1913 0.29045480489730835 597.8264770507812 591.668701171875 None None None +8 1914 0.2904828190803528 597.852294921875 591.6939697265625 None None None +8 1915 0.29049351811408997 597.8800659179688 591.7215576171875 None None None +8 1916 0.29049843549728394 597.84814453125 591.689453125 None None None +8 1917 0.2905566394329071 597.8491821289062 591.6893310546875 None None None +8 1918 0.2906161844730377 597.8574829101562 591.6962890625 None None None +8 1919 0.29064807295799255 597.8507080078125 591.6889038085938 None None None +8 1920 0.29061630368232727 597.7949829101562 591.6339721679688 None None None +8 1921 0.290645033121109 597.7890625 591.62744140625 None None None +8 1922 0.29060330986976624 597.8062744140625 591.6455078125 None None None +8 1923 0.2906072735786438 597.7669677734375 591.6061401367188 None None None +8 1924 0.2906589210033417 597.7776489257812 591.6156616210938 None None None +8 1925 0.2906261682510376 597.7952270507812 591.6339111328125 None None None +8 1926 0.2906574308872223 597.7511596679688 591.5891723632812 None None None +8 1927 0.29066023230552673 597.8074951171875 591.6454467773438 None None None +8 1928 0.29062551259994507 597.81396484375 591.6526489257812 None None None +8 1929 0.29058557748794556 597.7833862304688 591.6229248046875 None None None +8 1930 0.2906193435192108 597.7471923828125 591.5860595703125 None None None +8 1931 0.2906198799610138 597.7230834960938 591.5619506835938 None None None +8 1932 0.2905893325805664 597.7367553710938 591.5762329101562 None None None +8 1933 0.2905730903148651 597.7299194335938 591.5697631835938 None None None +8 1934 0.29054325819015503 597.746337890625 591.5867919921875 None None None +8 1935 0.29059112071990967 597.7632446289062 591.6026611328125 None None None +8 1936 0.29056790471076965 597.7621459960938 591.60205078125 None None None +8 1937 0.2905607521533966 597.7742309570312 591.6142578125 None None None +8 1938 0.2905466854572296 597.7774047851562 591.6177978515625 None None None +8 1939 0.29056739807128906 597.8356323242188 591.675537109375 None None None +8 1940 0.2905241549015045 597.83837890625 591.6792602539062 None None None +8 1941 0.2905152440071106 597.86474609375 591.705810546875 None None None +8 1942 0.29052698612213135 597.8816528320312 591.7224731445312 None None None +8 1943 0.29050731658935547 597.853759765625 591.6950073242188 None None None +8 1944 0.2905212342739105 597.8994140625 591.7403564453125 None None None +8 1945 0.29057177901268005 597.8978881835938 591.7377319335938 None None None +8 1946 0.29058146476745605 597.8983764648438 591.738037109375 None None None +8 1947 0.29057440161705017 597.909912109375 591.749755859375 None None None +8 1948 0.2905690371990204 597.91455078125 591.7545776367188 None None None +8 1949 0.2905856668949127 597.8952026367188 591.7348022460938 None None None +8 1950 0.29056304693222046 597.8837280273438 591.7237548828125 None None None +8 1951 0.2905452847480774 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597.8624267578125 591.7037353515625 None None None +8 1965 0.2905181050300598 597.8713989257812 591.71240234375 None None None +8 1966 0.2905474305152893 597.8311767578125 591.671630859375 None None None +8 1967 0.29056161642074585 597.8078002929688 591.6478881835938 None None None +8 1968 0.29061704874038696 597.7973022460938 591.6362915039062 None None None +8 1969 0.29059872031211853 597.8070678710938 591.646484375 None None None +8 1970 0.2905919849872589 597.8036499023438 591.6431884765625 None None None +8 1971 0.29058176279067993 597.8031616210938 591.6428833007812 None None None +8 1972 0.29066264629364014 597.787109375 591.6251220703125 None None None +8 1973 0.2906438112258911 597.7936401367188 591.6321411132812 None None None +8 1974 0.2906753718852997 597.8004760742188 591.6382446289062 None None None +8 1975 0.29064783453941345 597.823486328125 591.6618041992188 None None None +8 1976 0.2906222641468048 597.8161010742188 591.655029296875 None None None +8 1977 0.2905988395214081 597.8297729492188 591.669189453125 None None None +8 1978 0.2906763255596161 597.8198852539062 591.65771484375 None None None +8 1979 0.2906571924686432 597.8490600585938 591.687255859375 None None None +8 1980 0.2906837463378906 597.8511352539062 591.688720703125 None None None +8 1981 0.2907203733921051 597.8238525390625 591.6605834960938 None None None +8 1982 0.2906814515590668 597.7978515625 591.6354370117188 None None None +8 1983 0.29068300127983093 597.7998046875 591.637451171875 None None None +8 1984 0.2906642556190491 597.840576171875 591.6786499023438 None None None +8 1985 0.29065778851509094 597.8202514648438 591.6583251953125 None None None +8 1986 0.2906820476055145 597.8514404296875 591.6890869140625 None None None +8 1987 0.2906586229801178 597.9093627929688 591.7474975585938 None None None +8 1988 0.2906549572944641 597.895263671875 591.7334594726562 None None None +8 1989 0.2906809151172638 597.8576049804688 591.6952514648438 None None None +8 1990 0.29069486260414124 597.8455200195312 591.6829223632812 None None None +8 1991 0.2906968295574188 597.8050537109375 591.6423950195312 None None None +8 1992 0.2907560467720032 597.8116455078125 591.6476440429688 None None None +8 1993 0.2907252907752991 597.814697265625 591.6513671875 None None None +8 1994 0.29071560502052307 597.8234252929688 591.6603393554688 None None None +8 1995 0.2907080352306366 597.8519287109375 591.68896484375 None None None +8 1996 0.29071611166000366 597.8502807617188 591.6871337890625 None None None +8 1997 0.2907174825668335 597.86328125 591.7001953125 None None None +8 1998 0.29071930050849915 597.8566284179688 591.6934814453125 None None None +8 1999 0.2907640337944031 597.8706665039062 591.70654296875 None None None +8 2000 0.2907274067401886 597.8858642578125 591.7224731445312 None None None +8 2001 0.29071271419525146 597.9353637695312 591.7723388671875 None None None +8 2002 0.2907680869102478 597.9210815429688 591.7568359375 None None None +8 2003 0.29079505801200867 597.9090576171875 591.7443237304688 None None None +8 2004 0.29079610109329224 597.9016723632812 591.7368774414062 None None None +8 2005 0.29081231355667114 597.9335327148438 591.7683715820312 None None None +8 2006 0.2907836139202118 597.9469604492188 591.782470703125 None None None +8 2007 0.29078981280326843 597.9860229492188 591.8214111328125 None None None +8 2008 0.29079777002334595 597.9901733398438 591.825439453125 None None None +8 2009 0.2908628284931183 597.9724731445312 591.8063354492188 None None None +8 2010 0.29086199402809143 597.9531860351562 591.787109375 None None None +8 2011 0.29087045788764954 597.9558715820312 591.7896118164062 None None None +8 2012 0.29088476300239563 597.9750366210938 591.8084716796875 None None None +8 2013 0.29092076420783997 597.9950561523438 591.82763671875 None None None +8 2014 0.2908971607685089 597.965576171875 591.7987060546875 None None None +8 2015 0.2909393608570099 597.9461059570312 591.7783203125 None None None +8 2016 0.2909684181213379 598.0455322265625 591.8771362304688 None None None +8 2017 0.29102715849876404 598.0633544921875 591.8936767578125 None None None +8 2018 0.29102328419685364 598.0272216796875 591.8576049804688 None None None +8 2019 0.2909935712814331 598.0103759765625 591.8413696289062 None None None +8 2020 0.29095637798309326 597.9842529296875 591.8160400390625 None None None +8 2021 0.2909699082374573 598.024658203125 591.8561401367188 None None None +8 2022 0.29098954796791077 597.9921875 591.8233032226562 None None None +8 2023 0.2909359633922577 597.9818725585938 591.8141479492188 None None None +8 2024 0.2909688949584961 597.9696044921875 591.8011474609375 None None None +8 2025 0.290961354970932 598.0026245117188 591.8342895507812 None None None +8 2026 0.29094526171684265 597.9696044921875 591.8016357421875 None None None +8 2027 0.2909206748008728 597.9464721679688 591.7789916992188 None None None +8 2028 0.29088032245635986 597.9579467773438 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0.29113101959228516 598.0314331054688 591.8594360351562 None None None +8 2055 0.29117605090141296 598.027587890625 591.8546752929688 None None None +8 2056 0.29112473130226135 598.0549926757812 591.8831787109375 None None None +8 2057 0.29114338755607605 598.0375366210938 591.8652954101562 None None None +8 2058 0.29115840792655945 598.0663452148438 591.893798828125 None None None +8 2059 0.29115623235702515 598.0255126953125 591.8529663085938 None None None +8 2060 0.29114192724227905 598.0621948242188 591.8900146484375 None None None +8 2061 0.2911303639411926 598.0689086914062 591.8969116210938 None None None +8 2062 0.2911214828491211 598.0825805664062 591.9107666015625 None None None +8 2063 0.2911110520362854 598.0615844726562 591.8900146484375 None None None +8 2064 0.29107967019081116 598.0274047851562 591.8564453125 None None None +8 2065 0.2910415530204773 598.0133056640625 591.8431396484375 None None None +8 2066 0.2910282015800476 598.0499877929688 591.880126953125 None 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0.28135693073272705 595.7490234375 589.7848510742188 None None None +9 1967 0.28140556812286377 595.7203369140625 589.755126953125 None None None +9 1968 0.2814048230648041 595.7166748046875 589.7514038085938 None None None +9 1969 0.2814013659954071 595.675048828125 589.7098388671875 None None None +9 1970 0.28136569261550903 595.6178588867188 589.6534423828125 None None None +9 1971 0.2813708782196045 595.6363525390625 589.671875 None None None +9 1972 0.28137287497520447 595.6282958984375 589.6637573242188 None None None +9 1973 0.28135010600090027 595.64404296875 589.6799926757812 None None None +9 1974 0.28137311339378357 595.6484985351562 589.6839599609375 None None None +9 1975 0.2814199924468994 595.6346435546875 589.6690673828125 None None None +9 1976 0.28138941526412964 595.6317138671875 589.6668090820312 None None None +9 1977 0.2813922166824341 595.5869140625 589.6219482421875 None None None +9 1978 0.2814176678657532 595.5908813476562 589.6254272460938 None None None +9 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0.25520724058151245 589.3660278320312 583.9545288085938 None None None +10 1794 0.25516119599342346 589.338623046875 583.9281616210938 None None None +10 1795 0.25514453649520874 589.3724975585938 583.96240234375 None None None +10 1796 0.255195677280426 589.3821411132812 583.9710083007812 None None None +10 1797 0.25517192482948303 589.3847045898438 583.9740600585938 None None None +10 1798 0.25511065125465393 589.3651733398438 583.9558715820312 None None None +10 1799 0.25510939955711365 589.3665161132812 583.9572143554688 None None None +10 1800 0.2551591396331787 589.3897094726562 583.9793701171875 None None None +10 1801 0.2551381289958954 589.374755859375 583.9649047851562 None None None +10 1802 0.2552165985107422 589.3421020507812 583.9306030273438 None None None +10 1803 0.25518324971199036 589.361083984375 583.9502563476562 None None None +10 1804 0.25523385405540466 589.3910522460938 583.9791259765625 None None None +10 1805 0.2552415728569031 589.3663940429688 583.9542846679688 None None None +10 1806 0.255234956741333 589.348388671875 583.9364013671875 None None None +10 1807 0.25522276759147644 589.3502197265625 583.9384765625 None None None +10 1808 0.2552450895309448 589.4002685546875 583.988037109375 None None None +10 1809 0.25523802638053894 589.39306640625 583.9810180664062 None None None +10 1810 0.2552807629108429 589.3714599609375 583.9584350585938 None None None +10 1811 0.25526803731918335 589.3619384765625 583.94921875 None None None +10 1812 0.2552195191383362 589.3734130859375 583.9617309570312 None None None +10 1813 0.25517940521240234 589.367431640625 583.9566040039062 None None None +10 1814 0.25519731640815735 589.4169921875 584.0057983398438 None None None +10 1815 0.2551833689212799 589.4284057617188 584.0175170898438 None None None +10 1816 0.25519025325775146 589.4580078125 584.0469360351562 None None None +10 1817 0.25514668226242065 589.4713745117188 584.0612182617188 None None None +10 1818 0.2551255226135254 589.5072631835938 584.0975341796875 None None None +10 1819 0.2551375925540924 589.5550537109375 584.1450805664062 None None None +10 1820 0.25513672828674316 589.5869140625 584.1769409179688 None None None +10 1821 0.25518882274627686 589.5897827148438 584.1787719726562 None None None +10 1822 0.255185067653656 589.5916748046875 584.1807250976562 None None None +10 1823 0.2551328241825104 589.6366577148438 584.226806640625 None None None +10 1824 0.25511711835861206 589.6188354492188 584.2093505859375 None None None +10 1825 0.2550695240497589 589.6038818359375 584.1954956054688 None None None +10 1826 0.25508058071136475 589.5614624023438 584.15283203125 None None None +10 1827 0.25504863262176514 589.5367431640625 584.1287841796875 None None None +10 1828 0.2550056278705597 589.49658203125 584.0895385742188 None None None +10 1829 0.25501319766044617 589.4932861328125 584.0859985351562 None None None +10 1830 0.2549818754196167 589.4993896484375 584.0928955078125 None None None +10 1831 0.25499141216278076 589.5013427734375 584.0945434570312 None None None +10 1832 0.25497886538505554 589.5184326171875 584.1118774414062 None None None +10 1833 0.2549341022968292 589.511474609375 584.1058959960938 None None None +10 1834 0.25490719079971313 589.5263061523438 584.1212768554688 None None None +10 1835 0.2548832297325134 589.5615844726562 584.1570434570312 None None None +10 1836 0.2548693120479584 589.5377197265625 584.1334838867188 None None None +10 1837 0.2548874020576477 589.5485229492188 584.1439208984375 None None None +10 1838 0.2548508942127228 589.5413818359375 584.1375732421875 None None None +10 1839 0.2548160254955292 589.5901489257812 584.1870727539062 None None None +10 1840 0.254911869764328 589.6100463867188 584.2048950195312 None None None +10 1841 0.25492343306541443 589.6226806640625 584.21728515625 None None None +10 1842 0.25492939352989197 589.6508178710938 584.2453002929688 None None None +10 1843 0.25490736961364746 589.6815185546875 584.2764892578125 None None None +10 1844 0.2548767626285553 589.6549682617188 584.2506103515625 None None None +10 1845 0.25485721230506897 589.6521606445312 584.2482299804688 None None None +10 1846 0.2548079192638397 589.634765625 584.2318725585938 None None None +10 1847 0.2547794282436371 589.6080932617188 584.205810546875 None None None +10 1848 0.25475504994392395 589.5889282226562 584.1871948242188 None None None +10 1849 0.2547243535518646 589.6307983398438 584.2296752929688 None None None +10 1850 0.25481903553009033 589.645751953125 584.2426147460938 None None None +10 1851 0.2548273205757141 589.6474609375 584.2442626953125 None None None +10 1852 0.2548070251941681 589.6900634765625 584.2872314453125 None None None +10 1853 0.2549263834953308 589.6959228515625 584.2905883789062 None None None +10 1854 0.25493183732032776 589.68115234375 584.2756958007812 None None None +10 1855 0.2549826204776764 589.6607666015625 584.2542114257812 None None None +10 1856 0.25498896837234497 589.6608276367188 584.2540893554688 None None None +10 1857 0.2549471855163574 589.623046875 584.2172241210938 None None None +10 1858 0.2549406886100769 589.6154174804688 584.2097778320312 None None None +10 1859 0.2549874782562256 589.6115112304688 584.204833984375 None None None +10 1860 0.2549523413181305 589.585205078125 584.1793212890625 None None None +10 1861 0.2549747824668884 589.6049194335938 584.1985473632812 None None None +10 1862 0.2550015151500702 589.5932006835938 584.1863403320312 None None None +10 1863 0.25500258803367615 589.5630493164062 584.1561889648438 None None None +10 1864 0.25500738620758057 589.5010375976562 584.093994140625 None None None +10 1865 0.2549840807914734 589.5146484375 584.1080932617188 None None None +10 1866 0.2549821138381958 589.5223999023438 584.1158447265625 None None None +10 1867 0.2549484372138977 589.5382080078125 584.13232421875 None None None +10 1868 0.2549383044242859 589.54150390625 584.1358642578125 None None None +10 1869 0.2548924386501312 589.5438232421875 584.13916015625 None None None +10 1870 0.2549329698085785 589.5197143554688 584.1141967773438 None None None +10 1871 0.25491324067115784 589.5538330078125 584.1487426757812 None None None +10 1872 0.25490620732307434 589.551513671875 584.1465454101562 None None None +10 1873 0.2549251616001129 589.5592041015625 584.1538696289062 None None None +10 1874 0.2549152374267578 589.531005859375 584.1258544921875 None None None +10 1875 0.254947304725647 589.5005493164062 584.0946655273438 None None None +10 1876 0.2549211084842682 589.5260009765625 584.1206665039062 None None None +10 1877 0.25493380427360535 589.5032958984375 584.0975952148438 None None None +10 1878 0.2549501061439514 589.4946899414062 584.0886840820312 None None None +10 1879 0.25494226813316345 589.5049438476562 584.0991821289062 None None None +10 1880 0.2549480199813843 589.5348510742188 584.1289672851562 None None None +10 1881 0.2549040913581848 589.5755615234375 584.1705932617188 None None None +10 1882 0.25493210554122925 589.5779418945312 584.17236328125 None None None +10 1883 0.25492045283317566 589.570068359375 584.1647338867188 None None None +10 1884 0.2549114227294922 589.553466796875 584.1483764648438 None None None +10 1885 0.25491032004356384 589.5742797851562 584.169189453125 None None None +10 1886 0.25489798188209534 589.579345703125 584.174560546875 None None None +10 1887 0.2548846900463104 589.5861206054688 584.1815795898438 None None None +10 1888 0.2548760175704956 589.5877075195312 584.183349609375 None None None +10 1889 0.25484055280685425 589.5761108398438 584.1724853515625 None None None +10 1890 0.2548401951789856 589.5836181640625 584.1799926757812 None None None +10 1891 0.2548311650753021 589.5723876953125 584.1690063476562 None None None +10 1892 0.2548466622829437 589.5776977539062 584.1739501953125 None None None +10 1893 0.2548491060733795 589.5737915039062 584.1699829101562 None None None +10 1894 0.25483161211013794 589.5443725585938 584.1409301757812 None None None +10 1895 0.25481662154197693 589.5440063476562 584.140869140625 None None None +10 1896 0.2547720968723297 589.5521850585938 584.1499633789062 None None None +10 1897 0.254785418510437 589.5547485351562 584.1522827148438 None None None +10 1898 0.2547752559185028 589.5838623046875 584.1815795898438 None None None +10 1899 0.2547895610332489 589.5543823242188 584.1517944335938 None None None +10 1900 0.25475844740867615 589.600830078125 584.1989135742188 None None None +10 1901 0.2547857165336609 589.6293334960938 584.226806640625 None None None +10 1902 0.25477269291877747 589.6116943359375 584.20947265625 None None None +10 1903 0.25476932525634766 589.62109375 584.2188720703125 None None None +10 1904 0.2547689974308014 589.6190795898438 584.2168579101562 None None None +10 1905 0.2547544538974762 589.6198120117188 584.2178955078125 None None None +10 1906 0.25472623109817505 589.5743408203125 584.1730346679688 None None None +10 1907 0.2547006905078888 589.6123046875 584.2115478515625 None None None +10 1908 0.2547077238559723 589.6002807617188 584.1994018554688 None None None +10 1909 0.254738450050354 589.6041870117188 584.20263671875 None None None +10 1910 0.254701167345047 589.5471801757812 584.1464233398438 None None None +10 1911 0.2547159790992737 589.5654907226562 584.1644287109375 None None None +10 1912 0.2546834647655487 589.5603637695312 584.159912109375 None None None +10 1913 0.2546696364879608 589.5379638671875 584.1378173828125 None None None +10 1914 0.25470057129859924 589.551025390625 584.1502075195312 None None None +10 1915 0.25472593307495117 589.51513671875 584.1138305664062 None None None +10 1916 0.2547573149204254 589.5232543945312 584.1212158203125 None None None +10 1917 0.254802942276001 589.4952392578125 584.0922241210938 None None None +10 1918 0.25481972098350525 589.51220703125 584.1088256835938 None None None +10 1919 0.2548057734966278 589.46044921875 584.057373046875 None None None +10 1920 0.2547869086265564 589.4627685546875 584.0601196289062 None None None +10 1921 0.2547595500946045 589.4993896484375 584.0972290039062 None None None +10 1922 0.25475549697875977 589.4989624023438 584.096923828125 None None None +10 1923 0.25475284457206726 589.5036010742188 584.1016235351562 None None None +10 1924 0.2547515332698822 589.4771118164062 584.0751342773438 None None None +10 1925 0.25476768612861633 589.5038452148438 584.1015625 None None None +10 1926 0.2547663748264313 589.5103149414062 584.1080322265625 None None None +10 1927 0.2547632157802582 589.5092163085938 584.1069946289062 None None None +10 1928 0.2547597885131836 589.4703979492188 584.0682373046875 None None None +10 1929 0.2547331154346466 589.4826049804688 584.0809936523438 None None None +10 1930 0.2547757029533386 589.5071411132812 584.1046142578125 None None None +10 1931 0.2547609806060791 589.4976196289062 584.0953979492188 None None None +10 1932 0.25472378730773926 589.48828125 584.0867919921875 None None None +10 1933 0.2547091543674469 589.4794921875 584.078369140625 None None None +10 1934 0.2547372877597809 589.4904174804688 584.0886840820312 None None None +10 1935 0.25471097230911255 589.4883422851562 584.0870971679688 None None None +10 1936 0.2547110319137573 589.4887084960938 584.0875244140625 None None None +10 1937 0.2547101676464081 589.4864501953125 584.0852661132812 None None None +10 1938 0.25465595722198486 589.4678955078125 584.06787109375 None None None +10 1939 0.2546127140522003 589.4669189453125 584.0678100585938 None None None +10 1940 0.2546077370643616 589.4978637695312 584.098876953125 None None None +10 1941 0.25462979078292847 589.5227661132812 584.1233520507812 None None None +10 1942 0.2546415328979492 589.5565795898438 584.156982421875 None None None +10 1943 0.25465676188468933 589.5968627929688 584.1968994140625 None None None +10 1944 0.25462034344673157 589.5867309570312 584.1875 None None None +10 1945 0.25457999110221863 589.5642700195312 584.1658935546875 None None None +10 1946 0.2545890212059021 589.551513671875 584.1528930664062 None None None +10 1947 0.25458481907844543 589.5457763671875 584.147216796875 None None None +10 1948 0.25459998846054077 589.5291137695312 584.1302490234375 None None None +10 1949 0.2545623183250427 589.4972534179688 584.0992431640625 None None None +10 1950 0.2545464038848877 589.4889526367188 584.0912475585938 None None None +10 1951 0.2545173168182373 589.505615234375 584.1085815429688 None None None +10 1952 0.25454074144363403 589.5109252929688 584.1134033203125 None None None +10 1953 0.2545199990272522 589.5048217773438 584.107666015625 None None None +10 1954 0.2545303404331207 589.4822387695312 584.0849609375 None None None +10 1955 0.2545439898967743 589.4454345703125 584.0477905273438 None None None +10 1956 0.25451821088790894 589.4173583984375 584.020263671875 None None None +10 1957 0.2544965445995331 589.4342041015625 584.0375366210938 None None None +10 1958 0.2544814646244049 589.450927734375 584.0546264648438 None None None +10 1959 0.2544582486152649 589.47412109375 584.0783081054688 None None None +10 1960 0.25448092818260193 589.4747314453125 584.0784301757812 None None None +10 1961 0.25447288155555725 589.4497680664062 584.0536499023438 None None None +10 1962 0.2544539272785187 589.442626953125 584.0469360351562 None None None +10 1963 0.25443965196609497 589.4370727539062 584.0416870117188 None None None +10 1964 0.254442036151886 589.409912109375 584.0145263671875 None None None +10 1965 0.25444069504737854 589.4066772460938 584.0112915039062 None None None +10 1966 0.2544313371181488 589.4142456054688 584.0191040039062 None None None +10 1967 0.254441499710083 589.4497680664062 584.054443359375 None None None +10 1968 0.25445571541786194 589.4038696289062 584.0082397460938 None None None +10 1969 0.25441548228263855 589.398681640625 584.00390625 None None None +10 1970 0.2543869912624359 589.3860473632812 583.991943359375 None None None +10 1971 0.2543719708919525 589.3629150390625 583.9691772460938 None None None +10 1972 0.25436288118362427 589.3911743164062 583.9976196289062 None None None +10 1973 0.25436851382255554 589.3582763671875 583.964599609375 None None None +10 1974 0.2543589472770691 589.346923828125 583.9534912109375 None None None +10 1975 0.25433140993118286 589.338134765625 583.9452514648438 None None None +10 1976 0.2543199360370636 589.3203125 583.9276123046875 None None None +10 1977 0.25430965423583984 589.3391723632812 583.9467163085938 None None None +10 1978 0.25430381298065186 589.338134765625 583.9458618164062 None None None +10 1979 0.25429388880729675 589.3656005859375 583.9734497070312 None None None +10 1980 0.2543330192565918 589.3486328125 583.9556884765625 None None None +10 1981 0.25430992245674133 589.3614501953125 583.9690551757812 None None None +10 1982 0.25430598855018616 589.3407592773438 583.9484252929688 None None None +10 1983 0.2542742192745209 589.3098754882812 583.918212890625 None None None +10 1984 0.2542176842689514 589.3247680664062 583.934326171875 None None None +10 1985 0.25421199202537537 589.2772827148438 583.8869018554688 None None None +10 1986 0.2542298138141632 589.2557373046875 583.864990234375 None None None +10 1987 0.2542819082736969 589.2935791015625 583.9016723632812 None None None +10 1988 0.25426632165908813 589.3147583007812 583.9231567382812 None None None +10 1989 0.25425806641578674 589.3101196289062 583.9187622070312 None None None +10 1990 0.25427377223968506 589.2933349609375 583.9016723632812 None None None +10 1991 0.2542562186717987 589.3391723632812 583.9478149414062 None None None +10 1992 0.25419992208480835 589.3260498046875 583.9359741210938 None None None +10 1993 0.2542066276073456 589.3759155273438 583.9857177734375 None None None +10 1994 0.2542167901992798 589.3419799804688 583.9515380859375 None None None +10 1995 0.25423067808151245 589.310791015625 583.9200439453125 None None None +10 1996 0.2542749047279358 589.2706909179688 583.8790283203125 None None None +10 1997 0.2542739510536194 589.3099975585938 583.9183959960938 None None None +10 1998 0.2542545795440674 589.2841186523438 583.8929443359375 None None None +10 1999 0.2542566657066345 589.2767333984375 583.885498046875 None None None +10 2000 0.25459426641464233 589.2785034179688 583.8800659179688 None None None +10 2001 0.254623681306839 589.271240234375 583.8721923828125 None None None +10 2002 0.25462302565574646 589.2867431640625 583.8876953125 None None None +10 2003 0.2546546757221222 589.2659912109375 583.8662719726562 None None None +10 2004 0.25464901328086853 589.2515869140625 583.8519897460938 None None None +10 2005 0.2546488046646118 589.2340087890625 583.83447265625 None None None +10 2006 0.2546579837799072 589.2033081054688 583.8035278320312 None None None +10 2007 0.25461938977241516 589.1986083984375 583.7996215820312 None None None +10 2008 0.25459611415863037 589.228515625 583.8300170898438 None None None +10 2009 0.2546054422855377 589.21044921875 583.8118286132812 None None None +10 2010 0.25459811091423035 589.1807861328125 583.7823486328125 None None None +10 2011 0.25457528233528137 589.2060546875 583.80810546875 None None None +10 2012 0.25458136200904846 589.1829833984375 583.784912109375 None None None +10 2013 0.254545122385025 589.159912109375 583.7625732421875 None None None +10 2014 0.2545226812362671 589.1561889648438 583.7593383789062 None None None +10 2015 0.2545086145401001 589.1478271484375 583.751220703125 None None None +10 2016 0.2545113265514374 589.1903076171875 583.793701171875 None None None +10 2017 0.25459492206573486 589.2022094726562 583.8037719726562 None None None +10 2018 0.25458019971847534 589.2054443359375 583.8073120117188 None None None +10 2019 0.25455623865127563 589.2200927734375 583.822509765625 None None None +10 2020 0.25457367300987244 589.2366943359375 583.8387451171875 None 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583.2249145507812 578.27099609375 None None None +12 1952 0.23367026448249817 583.2188720703125 578.2650756835938 None None None +12 1953 0.23366954922676086 583.1995849609375 578.2457275390625 None None None +12 1954 0.23370195925235748 583.1849365234375 578.23046875 None None None +12 1955 0.23372051119804382 583.1979370117188 578.2430419921875 None None None +12 1956 0.233676478266716 583.1923217773438 578.2383422851562 None None None +12 1957 0.23369888961315155 583.252197265625 578.2977905273438 None None None +12 1958 0.2337208241224289 583.2683715820312 578.3134765625 None None None +12 1959 0.2337348312139511 583.2665405273438 578.311279296875 None None None +12 1960 0.23407261073589325 583.2289428710938 578.2665405273438 None None None +12 1961 0.23405641317367554 583.2183227539062 578.2562866210938 None None None +12 1962 0.23404590785503387 583.2033081054688 578.241455078125 None None None +12 1963 0.23404623568058014 583.2315063476562 578.2696533203125 None None None +12 1964 0.2340148687362671 583.2040405273438 578.2427978515625 None None None +12 1965 0.2340099960565567 583.2127075195312 578.2515869140625 None None None +12 1966 0.23400305211544037 583.2077026367188 578.2467041015625 None None None +12 1967 0.2340048998594284 583.229248046875 578.2682495117188 None None None +12 1968 0.2340700626373291 583.2520141601562 578.2896728515625 None None None +12 1969 0.23403388261795044 583.2720947265625 578.310546875 None None None +12 1970 0.23403534293174744 583.26318359375 578.3016357421875 None None None +12 1971 0.23401939868927002 583.2344360351562 578.2732543945312 None None None +12 1972 0.23406411707401276 583.2206420898438 578.2584838867188 None None None +12 1973 0.23405613005161285 583.2276000976562 578.265625 None None None +12 1974 0.2340424805879593 583.2478637695312 578.2861328125 None None None +12 1975 0.2340797483921051 583.2470703125 578.2845458984375 None None None +12 1976 0.23405063152313232 583.23291015625 578.27099609375 None None None +12 1977 0.23405256867408752 583.2169799804688 578.2549438476562 None None None +12 1978 0.23404695093631744 583.2095336914062 578.2476196289062 None None None +12 1979 0.23404477536678314 583.2261962890625 578.2642822265625 None None None +12 1980 0.23409408330917358 583.2539672851562 578.291015625 None None None +12 1981 0.23407523334026337 583.2540893554688 578.29150390625 None None None +12 1982 0.2340766191482544 583.2408447265625 578.2781982421875 None None None +12 1983 0.23411394655704498 583.2619018554688 578.2985229492188 None None None +12 1984 0.23409858345985413 583.2635498046875 578.3004150390625 None None None +12 1985 0.23410579562187195 583.2901611328125 578.326904296875 None None None +12 1986 0.2340778261423111 583.2848510742188 578.3222045898438 None None None +12 1987 0.2340981811285019 583.263671875 578.3006591796875 None None None +12 1988 0.23414304852485657 583.2218627929688 578.2579345703125 None None None +12 1989 0.2341470867395401 583.2325439453125 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0.23423485457897186 583.1470336914062 578.1810913085938 None None None +12 2003 0.23420515656471252 583.163330078125 578.197998046875 None None None +12 2004 0.2342226356267929 583.167236328125 578.2015380859375 None None None +12 2005 0.23428961634635925 583.1734619140625 578.2063598632812 None None None +12 2006 0.23429375886917114 583.16064453125 578.1934204101562 None None None +12 2007 0.23430323600769043 583.1905517578125 578.2230834960938 None None None +12 2008 0.23430676758289337 583.1760864257812 578.2086181640625 None None None +12 2009 0.23433369398117065 583.174072265625 578.2060546875 None None None +12 2010 0.23432379961013794 583.15087890625 578.1830444335938 None None None +12 2011 0.23429925739765167 583.1349487304688 578.167724609375 None None None +12 2012 0.23434185981750488 583.12255859375 578.1543579101562 None None None +12 2013 0.23435519635677338 583.1429443359375 578.1744995117188 None None None +12 2014 0.23430246114730835 583.1160278320312 578.1486206054688 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0.20416967570781708 574.1057739257812 569.7772827148438 None None None +15 1901 0.20419828593730927 574.1071166992188 569.7780151367188 None None None +15 1902 0.20418107509613037 574.0894775390625 569.7606811523438 None None None +15 1903 0.2041734904050827 574.0735473632812 569.7449340820312 None None None +15 1904 0.20418529212474823 574.043212890625 569.7144165039062 None None None +15 1905 0.2041737288236618 574.0291137695312 569.7005615234375 None None None +15 1906 0.20422154664993286 574.025146484375 569.6956176757812 None None None +15 1907 0.20423521101474762 574.0279541015625 569.6981201171875 None None None +15 1908 0.20420999825000763 574.028564453125 569.6992797851562 None None None +15 1909 0.20417571067810059 574.0197143554688 569.691162109375 None None None +15 1910 0.20414765179157257 574.0181274414062 569.690185546875 None None None +15 1911 0.2041221708059311 574.0199584960938 569.692626953125 None None None +15 1912 0.2041187584400177 574.0136108398438 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0.20405764877796173 573.9801025390625 569.6539306640625 None None None +15 1926 0.20402923226356506 573.9832153320312 569.65771484375 None None None +15 1927 0.20399916172027588 573.9841918945312 569.6593627929688 None None None +15 1928 0.20402079820632935 573.971435546875 569.6461791992188 None None None +15 1929 0.20401263236999512 574.0077514648438 569.6826782226562 None None None +15 1930 0.20402801036834717 573.9736328125 569.6482543945312 None None None +15 1931 0.20402832329273224 573.9456787109375 569.6203002929688 None None None +15 1932 0.20403368771076202 573.979736328125 569.654296875 None None None +15 1933 0.20402705669403076 573.97216796875 569.6468505859375 None None None +15 1934 0.20407317578792572 573.9624633789062 569.6361694335938 None None None +15 1935 0.20406167209148407 573.9454956054688 569.6194458007812 None None None +15 1936 0.20405150949954987 573.900390625 569.5745239257812 None None None +15 1937 0.20405150949954987 573.907958984375 569.5821533203125 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None +15 1976 0.20404618978500366 574.0538330078125 569.7283935546875 None None None +15 1977 0.20403189957141876 574.0738525390625 569.748779296875 None None None +15 1978 0.20400623977184296 574.043701171875 569.7191772460938 None None None +15 1979 0.20400846004486084 574.0552978515625 569.7307739257812 None None None +15 1980 0.20400196313858032 574.083251953125 569.7587890625 None None None +15 1981 0.20400488376617432 574.053466796875 569.7289428710938 None None None +15 1982 0.2039967179298401 574.0671997070312 569.7427978515625 None None None +15 1983 0.2040061503648758 574.0828857421875 569.75830078125 None None None +15 1984 0.20401228964328766 574.0747680664062 569.75 None None None +15 1985 0.20400437712669373 574.0858154296875 569.76123046875 None None None +15 1986 0.20402508974075317 574.0957641601562 569.770751953125 None None None +15 1987 0.20400597155094147 574.11083984375 569.7862548828125 None None None +15 1988 0.2040187269449234 574.0762329101562 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0.2042243629693985 574.799560546875 570.4703369140625 None None None +15 2343 0.20422521233558655 574.7900390625 570.4608154296875 None None None +15 2344 0.20423586666584015 574.7981567382812 570.4686279296875 None None None +15 2345 0.20426960289478302 574.8192138671875 570.489013671875 None None None +15 2346 0.20423220098018646 574.77197265625 570.4425048828125 None None None +15 2347 0.2042418122291565 574.7692260742188 570.4395751953125 None None None +15 2348 0.2042483538389206 574.7920532226562 570.4622192382812 None None None +15 2349 0.20424984395503998 574.8015747070312 570.4717407226562 None None None +15 2350 0.20424503087997437 574.8219604492188 570.4921875 None None None +15 2351 0.20426353812217712 574.8335571289062 570.50341796875 None None None +15 2352 0.2042779177427292 574.8665771484375 570.5361328125 None None None +15 2353 0.20429329574108124 574.8541870117188 570.5234375 None None None +15 2354 0.20430293679237366 574.880126953125 570.5491943359375 None None None +15 2355 0.20429860055446625 574.8591918945312 570.5283203125 None None None +15 2356 0.20427970588207245 574.8505249023438 570.5200805664062 None None None +15 2357 0.2043483555316925 574.8504028320312 570.5184936523438 None None None +15 2358 0.2043122947216034 574.8616333007812 570.530517578125 None None None +15 2359 0.20431794226169586 574.8307495117188 570.49951171875 None None None +15 2360 0.20432136952877045 574.7943115234375 570.4630126953125 None None None +15 2361 0.20431549847126007 574.7723999023438 570.4412231445312 None None None +15 2362 0.2043270468711853 574.7583618164062 570.4268798828125 None None None +15 2363 0.20434264838695526 574.759521484375 570.427734375 None None None +15 2364 0.2043219655752182 574.7124633789062 570.381103515625 None None None +15 2365 0.20433439314365387 574.720458984375 570.388916015625 None None None +15 2366 0.20436199009418488 574.7239379882812 570.3917236328125 None None None +15 2367 0.20440492033958435 574.7567749023438 570.4236450195312 None None None +15 2368 0.20441623032093048 574.8082885742188 570.4749145507812 None None None +15 2369 0.20439714193344116 574.8563232421875 570.5233764648438 None None None +15 2370 0.20442020893096924 574.847900390625 570.5144653320312 None None None +15 2371 0.20441240072250366 574.8987426757812 570.5654296875 None None None +15 2372 0.20440031588077545 574.9307861328125 570.5978393554688 None None None +15 2373 0.20438233017921448 574.9229125976562 570.5902709960938 None None None +15 2374 0.20439410209655762 574.9356689453125 570.6028442382812 None None None +15 2375 0.20438514649868011 574.933837890625 570.6011962890625 None None None +15 2376 0.20440953969955444 574.9217529296875 570.588623046875 None None None +15 2377 0.20437616109848022 574.9205322265625 570.5880737304688 None None None +15 2378 0.2043726146221161 574.932861328125 570.6005249023438 None None None +15 2379 0.2043820172548294 574.9103393554688 570.5777587890625 None None None +15 2380 0.20436568558216095 574.9379272460938 570.605712890625 None None None +15 2381 0.2043556123971939 574.9293212890625 570.5973510742188 None None None +15 2382 0.204339399933815 574.9176025390625 570.5859985351562 None None None +15 2383 0.2043481022119522 574.9223022460938 570.5905151367188 None None None +15 2384 0.20434200763702393 574.8780517578125 570.54638671875 None None None +15 2385 0.2043512761592865 574.887451171875 570.5556030273438 None None None +15 2386 0.20437182486057281 574.8681030273438 570.5358276367188 None None None +15 2387 0.20438268780708313 574.85791015625 570.525390625 None None None +15 2388 0.20438124239444733 574.8905639648438 570.5580444335938 None None None +15 2389 0.20436255633831024 574.878662109375 570.5465698242188 None None None +15 2390 0.20436279475688934 574.865478515625 570.5333862304688 None None None +15 2391 0.20439057052135468 574.8386840820312 570.5059814453125 None None None +15 2392 0.2043839395046234 574.8357543945312 570.5032348632812 None None None +15 2393 0.20436447858810425 574.823974609375 570.4918212890625 None None None +15 2394 0.20438233017921448 574.7978515625 570.46533203125 None None None +15 2395 0.204389289021492 574.8565673828125 570.5238647460938 None None None +15 2396 0.2044028788805008 574.8670043945312 570.5340576171875 None None None +15 2397 0.20439310371875763 574.8993530273438 570.5665893554688 None None None +15 2398 0.20435865223407745 574.9124755859375 570.5804443359375 None None None +15 2399 0.20435230433940887 574.9176635742188 570.5857543945312 None None None diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.bias_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1b4e00882aa531ca4ee8d1ce7350d59bcba502d --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 02:21:55.275727: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:57.546474: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:57.550233: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 02:21:58.423707: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:58.423805: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:58.442096: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:58.442147: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:58.451610: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:58.456403: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:58.472286: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:58.476537: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:58.477472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.492960: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.493359: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 02:21:58.494553: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:58.517007: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:0a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:58.517065: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:58.517103: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:58.517131: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:58.517156: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:58.517181: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:58.517206: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:58.517230: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:58.517254: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.559533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.561548: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:01.121807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 02:22:01.121974: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 02:22:01.121987: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 02:22:01.128380: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:0a:00.0, compute capability: 8.0) +2023-07-15 02:22:02.121994: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.bias_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f0dca0905f070b46fb3509c52dc967161a2555b --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/new_model_formats/bias_model_scaled diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet.params.json b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..026aebefdd3ede587e08a6fa7140e2aa9acc9be3 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "21.2", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_data_params.tsv b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..54ead507c8e199162cc64040195b7f5f9ca845d6 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 16.0 +counts_sum_max_thresh 2806.48 +trainings_pts_post_thresh 171613 diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..023af95d26bf0bb8487f925c62de3714d57a7427 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 01:18:00.110075: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.310050: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.315459: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 01:18:03.340018: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.340107: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.367500: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.367658: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.380838: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.386661: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.408598: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.414156: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.415372: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.417241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.417642: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 01:18:03.418533: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.418800: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.418832: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.418860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.418884: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.418908: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.418931: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.418955: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.418978: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.419002: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.433016: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.434566: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:05.268509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 01:18:05.268601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 01:18:05.268619: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 01:18:05.271746: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:03:00.0, compute capability: 6.0) +2023-07-15 01:18:07.651898: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..5108e2be62f4a39a8425703af3ff0c566f6c41f8 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/new_model_formats/chrombpnet diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_model_params.tsv b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..92767b22406d85d9829130346201c33ffed7e6c8 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 21.2 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..e11102964e58aa9fece083adef00ae5b441b56f1 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/new_model_formats/chrombpnet_wo_bias diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..e11102964e58aa9fece083adef00ae5b441b56f1 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1/new_model_formats/chrombpnet_wo_bias diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.epoch_loss.csv b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..7cbdeeea1ef38f010ffb25e6d7bfd702978755d6 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.epoch_loss.csv @@ -0,0 +1,17 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.1144963502883911,642.326416015625,665.9539184570312,0.4309227168560028,713.283935546875,722.4193725585938 +1,0.40922975540161133,614.9861450195312,623.660888671875,0.3928374648094177,696.5769653320312,704.9054565429688 +2,0.3773350417613983,607.7045288085938,615.7042846679688,0.353817880153656,703.9823608398438,711.483154296875 +3,0.35656309127807617,603.7853393554688,611.3446044921875,0.35116592049598694,693.470703125,700.9152221679688 +4,0.340986967086792,600.2359619140625,607.4652709960938,0.3389854431152344,694.0303344726562,701.2167358398438 +5,0.31998664140701294,597.476318359375,604.2593383789062,0.3488098084926605,692.5040283203125,699.8985595703125 +6,0.31144726276397705,595.1224365234375,601.7263793945312,0.3210435211658478,686.9882202148438,693.7941284179688 +7,0.3015139698982239,593.7638549804688,600.1559448242188,0.32162296772003174,689.722900390625,696.54150390625 +8,0.28991422057151794,591.5643310546875,597.7108154296875,0.3026200830936432,693.0009765625,699.41650390625 +9,0.28120625019073486,589.9695434570312,595.930419921875,0.3104008138179779,689.3138427734375,695.8939208984375 +10,0.25451257824897766,584.0850219726562,589.4818725585938,0.292110800743103,683.2008666992188,689.3936157226562 +11,0.24213039875030518,580.757080078125,585.8898315429688,0.2939797639846802,687.49462890625,693.7265625 +12,0.23355697095394135,578.1996459960938,583.1514282226562,0.28874412178993225,687.7350463867188,693.8560180664062 +13,0.22689776122570038,576.4965209960938,581.3072509765625,0.29973095655441284,691.0166625976562,697.3709716796875 +14,0.21161632239818573,572.8692626953125,577.3563232421875,0.2989518344402313,690.4901123046875,696.8277587890625 +15,0.20435230433940887,570.5857543945312,574.9176635742188,0.29369163513183594,690.6819458007812,696.9078369140625 diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stderr.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..76948d16da307d9f3342a3d2194289d6d303da64 --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stderr.txt @@ -0,0 +1,332 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2022-10-12 22:19:30.186160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:28:49.772666: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:28:49.778035: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:28:49.841673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-12 22:28:49.841780: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:28:49.872394: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:28:49.872572: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:28:49.888193: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:28:49.895721: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:28:49.922348: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:28:49.929265: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:28:49.930977: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:28:49.933307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:28:49.933715: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:28:49.934856: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:28:49.935296: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-12 22:28:49.935338: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:28:49.935366: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:28:49.935383: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:28:49.935400: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:28:49.935416: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:28:49.935433: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:28:49.935449: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:28:49.935466: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:28:49.936055: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:28:49.937758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:28:52.096260: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:28:52.096362: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:28:52.096379: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:28:52.101967: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30130 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +2022-10-12 22:28:54.555905: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:28:54.575229: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2300000000 Hz +2022-10-12 22:28:54.833616: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:28:56.233430: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:28:56.244799: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:29:45.088197: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:29:47.383482: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:29:47.384675: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:29:47.435821: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-12 22:29:47.435913: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:29:47.439239: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:29:47.439365: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:29:47.440900: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:29:47.441329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:29:47.444704: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:29:47.445582: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:29:47.445961: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:29:47.446692: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:29:47.447046: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:29:47.447146: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:29:47.447560: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-12 22:29:47.447590: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:29:47.447613: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:29:47.447630: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:29:47.447646: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:29:47.447662: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:29:47.447678: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:29:47.447694: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:29:47.447710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:29:47.448260: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:29:47.448295: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:29:48.090977: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:29:48.091071: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:29:48.091087: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:29:48.092191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30130 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +2022-10-12 22:38:12.966100: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:38:12.966679: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2300000000 Hz +2022-10-12 22:38:14.934935: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:38:15.282211: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:38:15.303457: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.1911s vs `on_train_batch_end` time: 0.2795s). Check your callbacks. +2022-10-13 04:35:26.239884: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:35:29.665779: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:35:29.667044: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 04:35:29.718159: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:35:29.718249: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:35:29.721713: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:35:29.721844: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:35:29.723375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:35:29.723811: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:35:29.727202: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:35:29.728091: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:35:29.728533: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:35:29.729291: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:35:29.729672: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 04:35:29.729770: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:35:29.730157: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:35:29.730185: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:35:29.730212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:35:29.730230: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:35:29.730247: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:35:29.730263: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:35:29.730280: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:35:29.730296: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:35:29.730313: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:35:29.730875: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:35:29.730919: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:35:30.381377: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 04:35:30.381469: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 04:35:30.381484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 04:35:30.382637: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30130 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +2022-10-13 04:37:48.004004: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 04:37:48.008583: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2300000000 Hz +2022-10-13 04:37:48.139154: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:37:48.452433: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:37:48.455197: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 04:42:59.101390: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:43:02.299427: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:43:02.300699: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 04:43:02.351227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:43:02.351320: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:43:02.354739: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:43:02.354874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:43:02.356403: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:43:02.356838: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:43:02.360231: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:43:02.361122: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:43:02.361564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:43:02.362318: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:43:02.362696: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 04:43:02.362794: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:43:02.363183: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:43:02.363212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:43:02.363243: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:43:02.363262: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:43:02.363281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:43:02.363300: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:43:02.363319: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:43:02.363338: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:43:02.363357: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:43:02.363917: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:43:02.363954: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:43:03.021879: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 04:43:03.021977: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 04:43:03.021993: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 04:43:03.023149: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30130 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 04:45:03.799988: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 04:45:03.803055: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2300000000 Hz +2022-10-13 04:45:03.885867: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:45:04.196766: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:45:04.198821: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 04:49:58.156207: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:50:01.368494: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:50:01.369763: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 04:50:01.421488: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:50:01.421590: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:50:01.424966: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:50:01.425103: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:50:01.426646: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:50:01.427075: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:50:01.430502: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:50:01.431405: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:50:01.431860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:50:01.432623: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:50:01.432985: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 04:50:01.433085: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:50:01.433484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:50:01.433536: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:50:01.433565: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:50:01.433583: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:50:01.433600: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:50:01.433617: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:50:01.433634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:50:01.433651: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:50:01.433668: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:50:01.434227: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:50:01.434265: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:50:02.083628: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 04:50:02.083725: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 04:50:02.083740: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 04:50:02.084887: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30130 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +2022-10-13 04:52:02.107494: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 04:52:02.109739: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2300000000 Hz +2022-10-13 04:52:02.162382: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:52:02.474798: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:52:02.476807: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 04:53:37.881317: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:53:39.508600: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:53:39.509834: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 04:53:39.560677: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:53:39.560779: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:53:39.564110: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:53:39.564246: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:53:39.565780: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:53:39.566214: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:53:39.569617: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:53:39.570529: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:53:39.570965: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:53:39.571693: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:53:39.572041: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 04:53:39.572136: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:53:39.572527: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:53:39.572564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:53:39.572586: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:53:39.572604: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:53:39.572622: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:53:39.572639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:53:39.572656: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:53:39.572673: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:53:39.572691: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:53:39.573261: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:53:39.573301: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:53:40.232814: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 04:53:40.232908: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 04:53:40.232923: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 04:53:40.234048: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30130 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 04:54:00.750829: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 04:54:00.751480: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2300000000 Hz +2022-10-13 04:54:01.024550: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:54:01.428265: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:54:01.430836: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_1//footprints’: File exists +2022-10-13 04:57:26.178004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:57:27.798075: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:57:27.799267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 04:57:27.849392: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:57:27.849495: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:57:27.852849: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:57:27.852984: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:57:27.854496: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:57:27.854936: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:57:27.858303: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:57:27.859186: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:57:27.859630: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:57:27.860373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:57:27.860729: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 04:57:27.860851: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 04:57:27.861238: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:40:00.0 name: Tesla V100-PCIE-32GB computeCapability: 7.0 +coreClock: 1.38GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 836.37GiB/s +2022-10-13 04:57:27.861274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:57:27.861297: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:57:27.861314: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:57:27.861332: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 04:57:27.861349: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 04:57:27.861366: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 04:57:27.861383: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 04:57:27.861401: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 04:57:27.861954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 04:57:27.861997: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 04:57:28.514848: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 04:57:28.514946: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 04:57:28.514961: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 04:57:28.516095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30130 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-32GB, pci bus id: 0000:40:00.0, compute capability: 7.0) +2022-10-13 04:57:48.623864: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 04:57:48.624505: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2300000000 Hz +2022-10-13 04:57:48.811030: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 04:57:49.216152: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 04:57:49.218634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stdout.txt b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..882915400fe5975f000f188cf33fda09c05ada9f --- /dev/null +++ b/fold_1/logs.models.fold_1.ENCSR417LPB/logfile.modelling.fold_1.ENCSR417LPB.stdout.txt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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a/fold_1/model.chrombpnet.fold_1.ENCSR417LPB.tar b/fold_1/model.chrombpnet.fold_1.ENCSR417LPB.tar new file mode 100644 index 0000000000000000000000000000000000000000..b5b76adc61816a8572f1f91d9b9463303e3df59b --- /dev/null +++ b/fold_1/model.chrombpnet.fold_1.ENCSR417LPB.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f12644d0360f77a378d41bda6319419cbd0d9d46522dd26b1e1961c98a23530 +size 27607040 diff --git a/fold_1/model.chrombpnet_nobias.fold_1.ENCSR417LPB.h5 b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR417LPB.h5 new file mode 100644 index 0000000000000000000000000000000000000000..1e00b2fc0272bdca66044b6db05da85f95c7a3bb --- /dev/null +++ b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR417LPB.h5 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a8ee62638bc78b331a939c1271d0cc761496e8a9d86a28ad69b28ae5dd5c8902 +size 25583536 diff --git a/fold_1/model.chrombpnet_nobias.fold_1.ENCSR417LPB.tar b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR417LPB.tar new file mode 100644 index 0000000000000000000000000000000000000000..37f3c8285f853580eab136418c12408fd9a72f97 --- /dev/null +++ b/fold_1/model.chrombpnet_nobias.fold_1.ENCSR417LPB.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7db827f5f1e2db54ff3a7b6b4c847eed0826ee5f75beb903ff3c51f04dcb6b1b +size 26081280 diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.args.json b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.args.json new file mode 100644 index 0000000000000000000000000000000000000000..45836143a93d6e2493a057a71485d93a3abf5516 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.batch_loss.tsv b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..a75a1a5b0500a82c2aff8ce9054789be11629419 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.batch_loss.tsv @@ -0,0 +1,50821 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 2.2273221015930176 731.1353149414062 684.1387939453125 None None None +0 1 997.1340942382812 21785.58203125 746.0517578125 None None None +0 2 665.5618286132812 14764.71875 721.3642578125 None None None +0 3 499.8232727050781 11263.30078125 717.0296630859375 None None None +0 4 400.24102783203125 9145.904296875 700.818115234375 None None None +0 5 333.9689025878906 7747.32177734375 700.5772094726562 None None None +0 6 286.7335510253906 6767.18359375 717.1055908203125 None None None +0 7 251.16578674316406 6006.255859375 706.657470703125 None None None +0 8 223.56732177734375 5424.99462890625 707.7243041992188 None None None +0 9 201.50289916992188 4968.8583984375 717.1474609375 None None None +0 10 183.4082489013672 4582.662109375 712.7481079101562 None None None +0 11 168.36329650878906 4268.31884765625 715.8536987304688 None None None +0 12 155.60809326171875 4001.4599609375 718.1293334960938 None None None +0 13 144.64295959472656 3761.98388671875 710.0174560546875 None None None +0 14 135.18643188476562 3563.954833984375 711.5214233398438 None None None +0 15 126.91252136230469 3390.343505859375 712.4894409179688 None None None +0 16 119.62408447265625 3238.34814453125 714.280029296875 None None None +0 17 113.1353530883789 3101.640625 714.484619140625 None None None +0 18 107.32890319824219 2979.132080078125 714.4924926757812 None None None +0 19 102.09236145019531 2867.345703125 713.1970825195312 None None None +0 20 97.35575866699219 2767.894287109375 713.68798828125 None None None +0 21 93.04175567626953 2674.603271484375 711.4223022460938 None None None +0 22 89.1201400756836 2592.7939453125 712.359130859375 None None None +0 23 85.51317596435547 2516.802734375 712.4749145507812 None None None +0 24 82.1949691772461 2446.50390625 712.190185546875 None None None +0 25 79.12722778320312 2380.63818359375 711.0538330078125 None None None +0 26 76.27825164794922 2318.41455078125 708.9437866210938 None None None +0 27 73.63353729248047 2259.98193359375 706.314453125 None None None +0 28 71.1724624633789 2205.078857421875 703.3399658203125 None None None +0 29 68.8931884765625 2158.947021484375 705.3009643554688 None None None +0 30 66.7522964477539 2112.658935546875 704.1858520507812 None None None +0 31 64.75822448730469 2073.186767578125 706.7885131835938 None None None +0 32 62.8641242980957 2032.709716796875 706.277099609375 None None None +0 33 61.08748245239258 1994.6314697265625 705.68603515625 None None None +0 34 59.4176139831543 1960.2073974609375 706.4961547851562 None None None +0 35 57.85289001464844 1929.162353515625 708.466796875 None None None +0 36 56.360530853271484 1898.4613037109375 709.2545776367188 None None None +0 37 54.940093994140625 1867.037841796875 707.8021240234375 None None None +0 38 53.58516311645508 1836.687255859375 706.040771484375 None None None +0 39 52.305946350097656 1808.7705078125 705.1155395507812 None None None +0 40 51.08979797363281 1783.519287109375 705.5250854492188 None None None +0 41 49.944156646728516 1761.7232666015625 707.9020385742188 None None 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2.3620243072509766 713.4268188476562 663.5888061523438 None None None +0 1867 2.361095905303955 713.388427734375 663.570068359375 None None None +0 1868 2.3600594997406006 713.3018188476562 663.50537109375 None None None +0 1869 2.3590521812438965 713.3383178710938 663.5630493164062 None None None +0 1870 2.3580117225646973 713.304931640625 663.5516357421875 None None None +0 1871 2.3570053577423096 713.25390625 663.5218505859375 None None None +0 1872 2.3560476303100586 713.2456665039062 663.5338134765625 None None None +0 1873 2.355079412460327 713.2213134765625 663.5299072265625 None None None +0 1874 2.3541393280029297 713.186279296875 663.5147705078125 None None None +0 1875 2.353156328201294 713.2125854492188 663.5618286132812 None None None +0 1876 2.352236270904541 713.1657104492188 663.5343017578125 None None None +0 1877 2.3512511253356934 713.1859741210938 663.5753784179688 None None None +0 1878 2.3501944541931152 713.1190795898438 663.53076171875 None None None +0 1879 2.3492467403411865 713.1140747070312 663.5457763671875 None None None +0 1880 2.348316192626953 713.1494140625 663.6007080078125 None None None +0 1881 2.3474419116973877 713.1129150390625 663.5827026367188 None None None +0 1882 2.3464345932006836 713.0745239257812 663.5655517578125 None None None +0 1883 2.3454055786132812 713.1173095703125 663.6300659179688 None None None +0 1884 2.3444621562957764 713.0463256835938 663.5789794921875 None None None +0 1885 2.343478202819824 712.979248046875 663.5326538085938 None None None +0 1886 2.3424179553985596 712.9228515625 663.49853515625 None None None +0 1887 2.3414223194122314 712.837158203125 663.433837890625 None None None +0 1888 2.3404808044433594 712.7770385742188 663.3935546875 None None None +0 1889 2.3395273685455322 712.7138061523438 663.3505249023438 None None None +0 1890 2.3385417461395264 712.6688232421875 663.3262329101562 None None None +0 1891 2.3374979496002197 712.5709838867188 663.25048828125 None None None +0 1892 2.336617946624756 712.514892578125 663.2130126953125 None None None +0 1893 2.3358030319213867 712.443115234375 663.158447265625 None None None +0 1894 2.33487868309021 712.3999633789062 663.1347045898438 None None None +0 1895 2.333874225616455 712.3311157226562 663.0870971679688 None None None +0 1896 2.332925319671631 712.364501953125 663.1404418945312 None None None +0 1897 2.3318915367126465 712.2984008789062 663.09619140625 None None None +0 1898 2.3308756351470947 712.2462768554688 663.0654907226562 None None None +0 1899 2.3298916816711426 712.2447509765625 663.0846557617188 None None None +0 1900 2.3289496898651123 712.2018432617188 663.0616455078125 None None None +0 1901 2.3281030654907227 712.1812133789062 663.058837890625 None None None +0 1902 2.3272101879119873 712.1116943359375 663.0081787109375 None None None +0 1903 2.326239824295044 712.0343627929688 662.9512329101562 None None None +0 1904 2.3253092765808105 711.99658203125 662.9331665039062 None None None +0 1905 2.3242874145507812 711.8984985351562 662.8566284179688 None None None +0 1906 2.323258638381958 711.837158203125 662.8170166015625 None None None +0 1907 2.322364091873169 711.8662109375 662.864990234375 None None None +0 1908 2.3214263916015625 711.9031982421875 662.9216918945312 None None None +0 1909 2.320439338684082 711.906494140625 662.9459228515625 None None None +0 1910 2.3195180892944336 711.8863525390625 662.9451904296875 None None None +0 1911 2.318561553955078 711.86474609375 662.9437866210938 None None None +0 1912 2.3175599575042725 711.8421630859375 662.9423217773438 None None None +0 1913 2.3166019916534424 711.8059692382812 662.9263305664062 None None None +0 1914 2.315612554550171 711.7410888671875 662.8823852539062 None None None +0 1915 2.31466007232666 711.7183837890625 662.8797607421875 None None None +0 1916 2.3136935234069824 711.6688232421875 662.8505859375 None None None +0 1917 2.3127503395080566 711.6599731445312 662.861572265625 None None None +0 1918 2.3117690086364746 711.6112060546875 662.8335571289062 None None None +0 1919 2.3108534812927246 711.599609375 662.84130859375 None None None +0 1920 2.309823989868164 711.5941162109375 662.8576049804688 None None None +0 1921 2.308885335922241 711.6172485351562 662.9005737304688 None None None +0 1922 2.3079380989074707 711.58984375 662.8931274414062 None None None +0 1923 2.306994676589966 711.56298828125 662.88623046875 None None None +0 1924 2.306072950363159 711.6011352539062 662.94384765625 None None None +0 1925 2.3051986694335938 711.5634155273438 662.924560546875 None None None +0 1926 2.3042116165161133 711.523193359375 662.9051513671875 None None None +0 1927 2.3033089637756348 711.5089721679688 662.9100341796875 None None None +0 1928 2.302354335784912 711.4640502929688 662.88525390625 None None None +0 1929 2.3014609813690186 711.4310302734375 662.8710327148438 None None None +0 1930 2.300558567047119 711.4309692382812 662.8900146484375 None None None +0 1931 2.2996068000793457 711.3701782226562 662.8493041992188 None None None +0 1932 2.298734426498413 711.3026733398438 662.8001708984375 None None None +0 1933 2.297877073287964 711.2991943359375 662.8148193359375 None None None +0 1934 2.2970049381256104 711.2863159179688 662.8203125 None None None +0 1935 2.296149253845215 711.3331298828125 662.8851928710938 None None None +0 1936 2.2951853275299072 711.3206787109375 662.89306640625 None None None +0 1937 2.294236421585083 711.2826538085938 662.8750610351562 None None None +0 1938 2.293267250061035 711.2933959960938 662.90625 None None None +0 1939 2.2923922538757324 711.2883911132812 662.9197387695312 None None None +0 1940 2.291417360305786 711.231689453125 662.8836059570312 None None None +0 1941 2.290377378463745 711.1516723632812 662.8255615234375 None None None +0 1942 2.289532423019409 711.146240234375 662.8380126953125 None None None +0 1943 2.2886037826538086 711.1367797851562 662.84814453125 None None None +0 1944 2.2876996994018555 711.072021484375 662.8025512695312 None None None +0 1945 2.2868077754974365 711.0756225585938 662.8248901367188 None None None +0 1946 2.2859082221984863 711.1160888671875 662.8843994140625 None None None +0 1947 2.2851386070251465 711.1029663085938 662.8875122070312 None None None +0 1948 2.284285068511963 711.0801391601562 662.8826904296875 None None None +0 1949 2.2833781242370605 711.0435791015625 662.8652954101562 None None None +0 1950 2.2824482917785645 711.0242309570312 662.8655395507812 None None None +0 1951 2.281531810760498 710.99560546875 662.856201171875 None None None +0 1952 2.2807350158691406 710.9786376953125 662.8560180664062 None None None +0 1953 2.2798304557800293 710.9031982421875 662.7996826171875 None None None +0 1954 2.2788867950439453 710.8433227539062 662.759765625 None None None +0 1955 2.2780447006225586 710.8248901367188 662.759033203125 None None None +0 1956 2.2771027088165283 710.7636108398438 662.7177124023438 None None None +0 1957 2.2761878967285156 710.7780151367188 662.7513427734375 None None None +0 1958 2.2753565311431885 710.7314453125 662.7223510742188 None None None +0 1959 2.2744133472442627 710.680908203125 662.6917724609375 None None None +0 1960 2.273439645767212 710.618896484375 662.6502685546875 None None None +0 1961 2.272505521774292 710.5856323242188 662.6367797851562 None None None +0 1962 2.2715346813201904 710.5180053710938 662.5895385742188 None None None +0 1963 2.270606279373169 710.5015258789062 662.5926513671875 None None None +0 1964 2.269820213317871 710.5585327148438 662.666259765625 None None None +0 1965 2.268885850906372 710.5053100585938 662.6328125 None None None +0 1966 2.2679545879364014 710.4761962890625 662.6233520507812 None None None +0 1967 2.267117738723755 710.4608154296875 662.6255493164062 None None None +0 1968 2.2662081718444824 710.38134765625 662.5653076171875 None None None +0 1969 2.265286922454834 710.3973999023438 662.6007690429688 None None None +0 1970 2.2643070220947266 710.3180541992188 662.5420532226562 None None None +0 1971 2.263439416885376 710.302490234375 662.5447387695312 None None None +0 1972 2.2624807357788086 710.2622680664062 662.5247802734375 None None None +0 1973 2.2615599632263184 710.2156982421875 662.4976806640625 None None None +0 1974 2.26062273979187 710.2052612304688 662.5070190429688 None None None +0 1975 2.259659767150879 710.2105102539062 662.5325927734375 None None None +0 1976 2.258782148361206 710.1392822265625 662.4798583984375 None None None +0 1977 2.2578988075256348 710.0712890625 662.4304809570312 None None None +0 1978 2.256983518600464 710.001220703125 662.3797607421875 None None None +0 1979 2.2560620307922363 709.9717407226562 662.3696899414062 None None None +0 1980 2.255110025405884 709.9512329101562 662.3693237304688 None None None +0 1981 2.2542030811309814 709.8958740234375 662.3330688476562 None None None +0 1982 2.2533326148986816 709.881591796875 662.337158203125 None None None +0 1983 2.252352714538574 709.813232421875 662.2894897460938 None None None +0 1984 2.2514421939849854 709.7855834960938 662.2810668945312 None None None +0 1985 2.250558853149414 709.763427734375 662.2775268554688 None None None +0 1986 2.2497358322143555 709.7281494140625 662.2596435546875 None None None +0 1987 2.248828172683716 709.6998291015625 662.2504272460938 None None None +0 1988 2.24796199798584 709.669921875 662.23876953125 None None None +0 1989 2.247309684753418 709.6607055664062 662.2432861328125 None None None +0 1990 2.2463934421539307 709.658935546875 662.2608642578125 None None None +0 1991 2.2454962730407715 709.6449584960938 662.2658081054688 None None None +0 1992 2.244593620300293 709.5684204101562 662.2083129882812 None None None +0 1993 2.243701457977295 709.5381469726562 662.1968994140625 None None None +0 1994 2.2428829669952393 709.506591796875 662.1826171875 None None None +0 1995 2.241973400115967 709.45703125 662.1522216796875 None None None +0 1996 2.2411646842956543 709.4265747070312 662.1388549804688 None None None +0 1997 2.2403604984283447 709.3734130859375 662.1026611328125 None None None +0 1998 2.239406108856201 709.3032836914062 662.0526123046875 None None None +0 1999 2.2384142875671387 709.2965087890625 662.0667724609375 None None None +0 2000 2.2375192642211914 709.2579956054688 662.047119140625 None None None +0 2001 2.236675500869751 709.2335815429688 662.04052734375 None None None +0 2002 2.2358410358428955 709.2269287109375 662.0514526367188 None None None +0 2003 2.2349767684936523 709.1713256835938 662.0140380859375 None None None +0 2004 2.2341058254241943 709.0734252929688 661.9344482421875 None None None +0 2005 2.2333178520202637 709.0574340820312 661.9351196289062 None None None +0 2006 2.2324330806732178 709.014404296875 661.91064453125 None None None +0 2007 2.2316195964813232 708.9666748046875 661.880126953125 None None None +0 2008 2.2307322025299072 708.9170532226562 661.8491821289062 None None None +0 2009 2.2298314571380615 708.8719482421875 661.8231811523438 None None None +0 2010 2.228936195373535 708.850341796875 661.8203735351562 None None None +0 2011 2.2279837131500244 708.791259765625 661.7814331054688 None None None +0 2012 2.227033853530884 708.741943359375 661.7522583007812 None None None +0 2013 2.226128339767456 708.71435546875 661.7437133789062 None None None +0 2014 2.225172519683838 708.6726684570312 661.72216796875 None None None +0 2015 2.2243897914886475 708.720458984375 661.7864990234375 None None None +0 2016 2.2235491275787354 708.7540283203125 661.8378295898438 None None None +0 2017 2.222703218460083 708.7490844726562 661.850830078125 None None None +0 2018 2.2220351696014404 708.74072265625 661.8565673828125 None None None +0 2019 2.2211802005767822 708.8004150390625 661.9342651367188 None None None +0 2020 2.2202672958374023 708.7647705078125 661.9179077148438 None None None +0 2021 2.21940016746521 708.728515625 661.8999633789062 None None None +0 2022 2.218535900115967 708.7284545898438 661.9180908203125 None None None +0 2023 2.2176167964935303 708.6990356445312 661.9081420898438 None None None +0 2024 2.2167246341705322 708.658447265625 661.8863525390625 None None None +0 2025 2.215851068496704 708.6641845703125 661.9104614257812 None None None +0 2026 2.2150068283081055 708.6406860351562 661.90478515625 None None None +0 2027 2.2141497135162354 708.5866088867188 661.8687744140625 None None None +0 2028 2.213284969329834 708.59521484375 661.8956909179688 None None None +0 2029 2.2123796939849854 708.5432739257812 661.86279296875 None None None +0 2030 2.211538791656494 708.467529296875 661.8048095703125 None None None +0 2031 2.210669994354248 708.42431640625 661.7799682617188 None None None +0 2032 2.209827184677124 708.4288330078125 661.80224609375 None None None +0 2033 2.2090184688568115 708.3929443359375 661.783447265625 None None None +0 2034 2.208177328109741 708.3319702148438 661.740234375 None None None +0 2035 2.207310676574707 708.2601928710938 661.6867065429688 None None None +0 2036 2.2064177989959717 708.20849609375 661.6538696289062 None None None +0 2037 2.205575942993164 708.1546020507812 661.6177368164062 None None None +0 2038 2.204660415649414 708.1032104492188 661.5856323242188 None None None +0 2039 2.20385479927063 708.0675659179688 661.5669555664062 None None None +0 2040 2.2030463218688965 708.0146484375 661.5311279296875 None None None +0 2041 2.202235460281372 707.986328125 661.5198974609375 None None None +0 2042 2.2014529705047607 707.9993896484375 661.5494995117188 None None None +0 2043 2.200584650039673 707.99951171875 661.5679321289062 None None None +0 2044 2.199714422225952 707.944091796875 661.5308227539062 None None None +0 2045 2.198800802230835 707.9561767578125 661.5621948242188 None None None +0 2046 2.1980676651000977 707.905517578125 661.5270385742188 None None None +0 2047 2.1972458362579346 707.8787841796875 661.5176391601562 None None None +0 2048 2.1964802742004395 707.9025268554688 661.5574951171875 None None None +0 2049 2.1957404613494873 707.8772583007812 661.5478515625 None None None +0 2050 2.1948583126068115 707.8435668945312 661.5328369140625 None None None +0 2051 2.1940181255340576 707.7985229492188 661.5054931640625 None None None +0 2052 2.1931724548339844 707.7493286132812 661.47412109375 None None None +0 2053 2.192370653152466 707.700927734375 661.4426879882812 None None None +0 2054 2.191531181335449 707.654296875 661.4137573242188 None None None +0 2055 2.1907551288604736 707.6158447265625 661.3916625976562 None None None +0 2056 2.1899147033691406 707.601318359375 661.3948364257812 None None None +0 2057 2.189155340194702 707.5521240234375 661.3616333007812 None None None +0 2058 2.188340187072754 707.5012817382812 661.3280029296875 None None None +0 2059 2.187493085861206 707.4597778320312 661.3043823242188 None None None +0 2060 2.186676263809204 707.4197387695312 661.2815551757812 None None None +0 2061 2.1857709884643555 707.3407592773438 661.2216796875 None None None +0 2062 2.1849091053009033 707.3263549804688 661.2254638671875 None None None +0 2063 2.1840622425079346 707.2800903320312 661.1970825195312 None None None +0 2064 2.183197259902954 707.224609375 661.1597900390625 None None None +0 2065 2.18243408203125 707.2239379882812 661.17529296875 None None None +0 2066 2.1816437244415283 707.208740234375 661.1766967773438 None None None +0 2067 2.1807339191436768 707.17236328125 661.1596069335938 None None None +0 2068 2.1798789501190186 707.0856323242188 661.0908813476562 None None None +0 2069 2.1790707111358643 707.0468139648438 661.069091796875 None None None +0 2070 2.1782619953155518 707.044677734375 661.0840454101562 None None None +0 2071 2.177419662475586 707.0213012695312 661.0784301757812 None None None +0 2072 2.176605463027954 706.9943237304688 661.0686645507812 None None None +0 2073 2.1757380962371826 706.9686889648438 661.061279296875 None None None +0 2074 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636.47705078125 626.9729614257812 None None None +1 1880 0.45049723982810974 636.4879150390625 626.9834594726562 None None None +1 1881 0.4504389762878418 636.4973754882812 626.9940795898438 None None None +1 1882 0.4504798352718353 636.4884033203125 626.9842529296875 None None None +1 1883 0.45048418641090393 636.4925537109375 626.9884033203125 None None None +1 1884 0.45040836930274963 636.4830932617188 626.9805908203125 None None None +1 1885 0.4503965973854065 636.4821166992188 626.9798583984375 None None None +1 1886 0.4503515958786011 636.5032958984375 627.0020751953125 None None None +1 1887 0.4503379166126251 636.548095703125 627.047119140625 None None None +1 1888 0.4503059685230255 636.5673828125 627.0670776367188 None None None +1 1889 0.45026594400405884 636.5779418945312 627.0784912109375 None None None +1 1890 0.4503448009490967 636.5323486328125 627.0311279296875 None None None +1 1891 0.450447678565979 636.5123291015625 627.0089721679688 None None None +1 1892 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0.45063889026641846 636.4451904296875 626.937744140625 None None None +1 1906 0.45066574215888977 636.4464111328125 626.9384155273438 None None None +1 1907 0.45065221190452576 636.4839477539062 626.9761962890625 None None None +1 1908 0.45056962966918945 636.4688110351562 626.962890625 None None None +1 1909 0.45056915283203125 636.484375 626.9784545898438 None None None +1 1910 0.4506034851074219 636.4783325195312 626.9717407226562 None None None +1 1911 0.4506342113018036 636.5025634765625 626.9953002929688 None None None +1 1912 0.45066049695014954 636.4944458007812 626.9866943359375 None None None +1 1913 0.4506746232509613 636.5330810546875 627.0250244140625 None None None +1 1914 0.4506802260875702 636.5149536132812 627.0068359375 None None None +1 1915 0.45066866278648376 636.4723510742188 626.9644775390625 None None None +1 1916 0.4506331980228424 636.45166015625 626.944580078125 None None None +1 1917 0.450619101524353 636.3862915039062 626.8794555664062 None None None +1 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635.9764404296875 626.4867553710938 None None None +1 1970 0.4497383236885071 635.95263671875 626.4642333984375 None None None +1 1971 0.44972488284111023 635.9497680664062 626.461669921875 None None None +1 1972 0.44966235756874084 635.9581298828125 626.4713745117188 None None None +1 1973 0.44961994886398315 635.9285888671875 626.4426879882812 None None None +1 1974 0.4495190382003784 635.9247436523438 626.4409790039062 None None None +1 1975 0.44947174191474915 635.9136352539062 626.4308471679688 None None None +1 1976 0.4494374394416809 635.9044189453125 626.4223022460938 None None None +1 1977 0.44939231872558594 635.9273681640625 626.4462280273438 None None None +1 1978 0.4493682086467743 635.8890380859375 626.4083862304688 None None None +1 1979 0.4493677318096161 635.883544921875 626.4028930664062 None None None +1 1980 0.44934237003326416 635.8572387695312 626.377197265625 None None None +1 1981 0.4492571949958801 635.860107421875 626.3818359375 None None None +1 1982 0.4492374360561371 635.85107421875 626.3732299804688 None None None +1 1983 0.4491632282733917 635.832763671875 626.3564453125 None None None +1 1984 0.449144184589386 635.8556518554688 626.3796997070312 None None None +1 1985 0.4492398798465729 635.9064331054688 626.428466796875 None None None +1 1986 0.44917967915534973 635.9288330078125 626.4521484375 None None None +1 1987 0.44915804266929626 635.8934326171875 626.4171752929688 None None None +1 1988 0.449151873588562 635.8947143554688 626.418701171875 None None None +1 1989 0.44913482666015625 635.9244384765625 626.44873046875 None None None +1 1990 0.4491737484931946 635.9248046875 626.4483032226562 None None None +1 1991 0.4491698741912842 635.8898315429688 626.413330078125 None None None +1 1992 0.4491358697414398 635.8330078125 626.3572387695312 None None None +1 1993 0.4491041898727417 635.8446655273438 626.3695068359375 None None None +1 1994 0.4491369128227234 635.8954467773438 626.419677734375 None None None +1 1995 0.44914519786834717 635.8855590820312 626.4096069335938 None None None +1 1996 0.44906869530677795 635.8319091796875 626.3576049804688 None None None +1 1997 0.44897764921188354 635.825927734375 626.353515625 None None None +1 1998 0.4489125907421112 635.7896118164062 626.318603515625 None None None +1 1999 0.448899507522583 635.7692260742188 626.2984619140625 None None None +1 2000 0.44885531067848206 635.7635498046875 626.2937622070312 None None None +1 2001 0.4488271176815033 635.7178955078125 626.2487182617188 None None None +1 2002 0.44883430004119873 635.696533203125 626.2271728515625 None None None +1 2003 0.44880184531211853 635.6791381835938 626.21044921875 None None None +1 2004 0.4487861096858978 635.685791015625 626.2174682617188 None None None +1 2005 0.44873324036598206 635.7366943359375 626.2694702148438 None None None +1 2006 0.448843389749527 635.7440795898438 626.2745361328125 None None None +1 2007 0.44877201318740845 635.7628173828125 626.2947998046875 None None 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None +2 1962 0.40219831466674805 625.42431640625 616.9376220703125 None None None +2 1963 0.4022168219089508 625.4163818359375 616.92919921875 None None None +2 1964 0.40225595235824585 625.3622436523438 616.8742065429688 None None None +2 1965 0.4022628366947174 625.361083984375 616.8729248046875 None None None +2 1966 0.40224289894104004 625.3496704101562 616.8619384765625 None None None +2 1967 0.4022250473499298 625.3217163085938 616.8343505859375 None None None +2 1968 0.40227439999580383 625.3897705078125 616.9013061523438 None None None +2 1969 0.4022839069366455 625.4479370117188 616.9593505859375 None None None +2 1970 0.40240272879600525 625.4511108398438 616.9598999023438 None None None +2 1971 0.40240150690078735 625.436767578125 616.9456787109375 None None None +2 1972 0.4023803174495697 625.410400390625 616.9197998046875 None None None +2 1973 0.40248727798461914 625.4152221679688 616.9224243164062 None None None +2 1974 0.4024798572063446 625.3941040039062 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625.3622436523438 616.863525390625 None None None +2 1988 0.40282416343688965 625.398193359375 616.8984375 None None None +2 1989 0.4028010368347168 625.4151611328125 616.9158935546875 None None None +2 1990 0.4027903974056244 625.4024658203125 616.9033813476562 None None None +2 1991 0.4028318226337433 625.3653564453125 616.8653564453125 None None None +2 1992 0.4028656780719757 625.3451538085938 616.844482421875 None None None +2 1993 0.40287089347839355 625.3058471679688 616.8051147460938 None None None +2 1994 0.40287718176841736 625.3128662109375 616.81201171875 None None None +2 1995 0.40287086367607117 625.3359985351562 616.8352661132812 None None None +2 1996 0.4029105305671692 625.3125610351562 616.8109130859375 None None None +2 1997 0.40291473269462585 625.2863159179688 616.7846069335938 None None None +2 1998 0.40297651290893555 625.2903442382812 616.7872924804688 None None None +2 1999 0.4030042588710785 625.3124389648438 616.808837890625 None None None +2 2000 0.4030713140964508 625.2976684570312 616.7926025390625 None None None +2 2001 0.40306171774864197 625.2962036132812 616.7913208007812 None None None +2 2002 0.40307000279426575 625.282958984375 616.7778930664062 None None None +2 2003 0.4030141234397888 625.2528076171875 616.7489624023438 None None None +2 2004 0.40300339460372925 625.2673950195312 616.7637939453125 None None None +2 2005 0.4029432535171509 625.2763061523438 616.77392578125 None None None +2 2006 0.4029478132724762 625.2947387695312 616.7922973632812 None None None +2 2007 0.40289679169654846 625.267578125 616.7662353515625 None None None +2 2008 0.40287643671035767 625.322265625 616.8213500976562 None None None +2 2009 0.4028611183166504 625.3416748046875 616.8411254882812 None None None +2 2010 0.40285515785217285 625.3133544921875 616.8129272460938 None None None +2 2011 0.4028352200984955 625.3380737304688 616.8380126953125 None None None +2 2012 0.4028225541114807 625.2979736328125 616.7982177734375 None None None 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605.3466186523438 None None None +5 1915 0.34058478474617004 612.5096435546875 605.323974609375 None None None +5 1916 0.34055769443511963 612.4828491210938 605.2977905273438 None None None +5 1917 0.34055203199386597 612.5009155273438 605.3159790039062 None None None +5 1918 0.34054142236709595 612.458984375 605.2742309570312 None None None +5 1919 0.3405332565307617 612.419921875 605.2354125976562 None None None +5 1920 0.3405323624610901 612.409423828125 605.2249755859375 None None None +5 1921 0.34054380655288696 612.4253540039062 605.2406616210938 None None None +5 1922 0.3405578136444092 612.3895874023438 605.20458984375 None None None +5 1923 0.3405110239982605 612.3486328125 605.16455078125 None None None +5 1924 0.3405137062072754 612.3167724609375 605.132568359375 None None None +5 1925 0.3404870927333832 612.3206176757812 605.1370239257812 None None None +5 1926 0.34046873450279236 612.2941284179688 605.1109008789062 None None None +5 1927 0.34047722816467285 612.2982177734375 605.1148681640625 None None None +5 1928 0.34043240547180176 612.3095703125 605.1271362304688 None None None +5 1929 0.3404217064380646 612.2984008789062 605.1162109375 None None None +5 1930 0.34042325615882874 612.2916870117188 605.1094360351562 None None None +5 1931 0.3404730558395386 612.3206787109375 605.1373291015625 None None None +5 1932 0.3404707610607147 612.3322143554688 605.14892578125 None None None +5 1933 0.3404875099658966 612.3290405273438 605.1454467773438 None None None +5 1934 0.3404606282711029 612.346435546875 605.1634521484375 None None None +5 1935 0.34051406383514404 612.3687744140625 605.1846313476562 None None None +5 1936 0.34046876430511475 612.3817138671875 605.198486328125 None None None +5 1937 0.3404272496700287 612.358154296875 605.1758422851562 None None None +5 1938 0.340375691652298 612.3531494140625 605.1719360351562 None None None +5 1939 0.3403465747833252 612.3282470703125 605.1476440429688 None None None +5 1940 0.3403365910053253 612.3160400390625 605.1356201171875 None None None +5 1941 0.3404349684715271 612.3418579101562 605.1593627929688 None None None +5 1942 0.34046998620033264 612.369140625 605.1859130859375 None None None +5 1943 0.3404718339443207 612.4265747070312 605.2432861328125 None None None +5 1944 0.34046536684036255 612.38134765625 605.1981811523438 None None None +5 1945 0.3404613733291626 612.3666381835938 605.1835327148438 None None None +5 1946 0.34050512313842773 612.380859375 605.19677734375 None None None +5 1947 0.34051769971847534 612.3838500976562 605.1995239257812 None None None +5 1948 0.3405013084411621 612.361083984375 605.1770629882812 None None None +5 1949 0.34047171473503113 612.3284912109375 605.1450805664062 None None None +5 1950 0.3404543995857239 612.3014526367188 605.118408203125 None None None +5 1951 0.340403288602829 612.3150024414062 605.133056640625 None None None +5 1952 0.3403592109680176 612.386474609375 605.2054443359375 None None None +5 1953 0.340302437543869 612.3778686523438 605.1980590820312 None None None +5 1954 0.3402619957923889 612.3353881835938 605.1563720703125 None None None +5 1955 0.3402543365955353 612.3650512695312 605.1862182617188 None None None +5 1956 0.3402203917503357 612.3521118164062 605.1740112304688 None None None +5 1957 0.3401796817779541 612.3284301757812 605.1511840820312 None None None +5 1958 0.34017911553382874 612.3142700195312 605.1370239257812 None None None +5 1959 0.34018197655677795 612.3381958007812 605.160888671875 None None None +5 1960 0.3401467502117157 612.3323974609375 605.1558227539062 None None None +5 1961 0.3401362895965576 612.3367309570312 605.1603393554688 None None None +5 1962 0.34010812640190125 612.3181762695312 605.1424560546875 None None None +5 1963 0.3401855528354645 612.315673828125 605.1383056640625 None None None +5 1964 0.34017711877822876 612.2935791015625 605.1163330078125 None None None +5 1965 0.3402196168899536 612.2861938476562 605.1080932617188 None None None +5 1966 0.3402116000652313 612.2907104492188 605.11279296875 None None None +5 1967 0.3401747941970825 612.284423828125 605.1072998046875 None None None +5 1968 0.340217649936676 612.3236083984375 605.1455688476562 None None None +5 1969 0.3402378559112549 612.367431640625 605.1890258789062 None None None +5 1970 0.34025678038597107 612.3677368164062 605.1889038085938 None None None +5 1971 0.3402252197265625 612.3871459960938 605.2090454101562 None None None +5 1972 0.3401624858379364 612.3272094726562 605.1504516601562 None None None +5 1973 0.340145081281662 612.287353515625 605.1109619140625 None None None +5 1974 0.3401230275630951 612.3215942382812 605.1456298828125 None None None +5 1975 0.3401309847831726 612.3251953125 605.1491088867188 None None None +5 1976 0.34015825390815735 612.2855224609375 605.1088256835938 None None None +5 1977 0.3401626944541931 612.2957153320312 605.118896484375 None None None +5 1978 0.3402058184146881 612.27392578125 605.09619140625 None None None +5 1979 0.3401809632778168 612.3143310546875 605.1371459960938 None None None +5 1980 0.34017014503479004 612.32470703125 605.147705078125 None None None +5 1981 0.3401426672935486 612.2880249023438 605.1116333007812 None None None +5 1982 0.3400786519050598 612.29931640625 605.124267578125 None None None +5 1983 0.34004783630371094 612.3120727539062 605.1376342773438 None None None +5 1984 0.34001627564430237 612.3876342773438 605.2139282226562 None None None +5 1985 0.33999574184417725 612.3804931640625 605.2071533203125 None None None +5 1986 0.33996251225471497 612.3915405273438 605.2189331054688 None None None +5 1987 0.33997124433517456 612.4107666015625 605.2379760742188 None None None +5 1988 0.33993828296661377 612.3899536132812 605.2178955078125 None None None +5 1989 0.3399730622768402 612.34228515625 605.1694946289062 None None None +5 1990 0.33995217084884644 612.3628540039062 605.1905517578125 None None None +5 1991 0.33995968103408813 612.3636474609375 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612.4677734375 605.2998657226562 None None None +5 2005 0.33972597122192383 612.4339599609375 605.2664794921875 None None None +5 2006 0.3397003412246704 612.445556640625 605.2786254882812 None None None +5 2007 0.3396475613117218 612.4402465820312 605.2744140625 None None None +5 2008 0.33965781331062317 612.4679565429688 605.3019409179688 None None None +5 2009 0.33969467878341675 612.4733276367188 605.3065185546875 None None None +5 2010 0.33970510959625244 612.4597778320312 605.2927856445312 None None None +5 2011 0.339667946100235 612.41796875 605.2517700195312 None None None +5 2012 0.3396576941013336 612.4033203125 605.2373046875 None None None +5 2013 0.3396410048007965 612.438232421875 605.2725830078125 None None None +5 2014 0.3395969569683075 612.4244995117188 605.2598266601562 None None None +5 2015 0.3395937979221344 612.4352416992188 605.2706298828125 None None None +5 2016 0.3396020233631134 612.4500122070312 605.2852172851562 None None None +5 2017 0.3396805226802826 612.4564208984375 605.2899780273438 None None None +5 2018 0.3396582305431366 612.4493408203125 605.283447265625 None None None +5 2019 0.3396255671977997 612.4474487304688 605.2822265625 None None None +5 2020 0.3395889103412628 612.4611206054688 605.296630859375 None None None +5 2021 0.33960264921188354 612.447998046875 605.2832641601562 None None None +5 2022 0.33956092596054077 612.4446411132812 605.28076171875 None None None +5 2023 0.33961284160614014 612.4300537109375 605.2650756835938 None None None +5 2024 0.33961740136146545 612.4058227539062 605.24072265625 None None None +5 2025 0.3395979404449463 612.4189453125 605.2542724609375 None None None +5 2026 0.3395887017250061 612.4125366210938 605.2481079101562 None None None +5 2027 0.33955466747283936 612.4020385742188 605.23828125 None None None +5 2028 0.3395536243915558 612.3961181640625 605.2323608398438 None None None +5 2029 0.33954566717147827 612.4176025390625 605.2540283203125 None None None +5 2030 0.33954477310180664 612.42236328125 605.2587890625 None None None +5 2031 0.3394775092601776 612.3944702148438 605.2323608398438 None None None +5 2032 0.33945655822753906 612.3689575195312 605.2072143554688 None None None +5 2033 0.33949729800224304 612.3765869140625 605.2139282226562 None None None +5 2034 0.3395262062549591 612.3981323242188 605.23486328125 None None None +5 2035 0.33953770995140076 612.42333984375 605.2598266601562 None None None +5 2036 0.33947843313217163 612.4246826171875 605.262451171875 None None None +5 2037 0.3394332826137543 612.4784545898438 605.317138671875 None None None +5 2038 0.33946359157562256 612.484375 605.3224487304688 None None None +5 2039 0.3395169973373413 612.4609985351562 605.2979736328125 None None None +5 2040 0.33948129415512085 612.4769897460938 605.3147583007812 None None None +5 2041 0.33950042724609375 612.4521484375 605.2894897460938 None None None +5 2042 0.3395064175128937 612.470458984375 605.3076171875 None None None +5 2043 0.3395252525806427 612.4974975585938 605.3342895507812 None None None +5 2044 0.3395238518714905 612.4618530273438 605.2986450195312 None None None +5 2045 0.33949774503707886 612.407958984375 605.2453002929688 None None None +5 2046 0.33952102065086365 612.432861328125 605.2697143554688 None None None +5 2047 0.3395213186740875 612.4083862304688 605.2452392578125 None None None +5 2048 0.33947351574897766 612.4127197265625 605.2505493164062 None None None +5 2049 0.3394903242588043 612.4553833007812 605.2928466796875 None None None +5 2050 0.3394774794578552 612.431396484375 605.2691650390625 None None None +5 2051 0.3394666016101837 612.4524536132812 605.2904052734375 None None None +5 2052 0.3394785225391388 612.4253540039062 605.2630615234375 None None None +5 2053 0.3394547402858734 612.462890625 605.3011474609375 None None None +5 2054 0.3394182026386261 612.4705200195312 605.3095092773438 None None None +5 2055 0.3394412100315094 612.4345092773438 605.2730712890625 None None None +5 2056 0.33939629793167114 612.4129638671875 605.2525024414062 None None None +5 2057 0.3393876552581787 612.4165649414062 605.2562255859375 None None None +5 2058 0.3393656015396118 612.4281616210938 605.2682495117188 None None None +5 2059 0.33931395411491394 612.4360961914062 605.2772827148438 None None None +5 2060 0.33931440114974976 612.4405517578125 605.2817993164062 None None None +5 2061 0.33931851387023926 612.4649658203125 605.30615234375 None None None +5 2062 0.3392762243747711 612.4495849609375 605.2916259765625 None None None +5 2063 0.3392925262451172 612.4671630859375 605.308837890625 None None None +5 2064 0.33926689624786377 612.4428100585938 605.2849731445312 None None None +5 2065 0.33923906087875366 612.41552734375 605.2583618164062 None None None +5 2066 0.33918115496635437 612.4197998046875 605.2638549804688 None None None +5 2067 0.3391914963722229 612.439208984375 605.2830200195312 None None None +5 2068 0.33915212750434875 612.4276733398438 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607.0379638671875 600.38818359375 None None None +7 1912 0.3151615262031555 607.0946044921875 600.4439697265625 None None None +7 1913 0.3151393234729767 607.0510864257812 600.40087890625 None None None +7 1914 0.31510859727859497 607.0150146484375 600.3654174804688 None None None +7 1915 0.31511056423187256 606.9729614257812 600.3233032226562 None None None +7 1916 0.31511247158050537 606.955078125 600.305419921875 None None None +7 1917 0.3151220977306366 606.9247436523438 600.2748413085938 None None None +7 1918 0.3151315450668335 606.9129638671875 600.262939453125 None None None +7 1919 0.31509292125701904 606.893310546875 600.2440795898438 None None None +7 1920 0.31505197286605835 606.8861694335938 600.2378540039062 None None None +7 1921 0.31501317024230957 606.8865356445312 600.239013671875 None None None +7 1922 0.3150760531425476 606.91748046875 600.2686157226562 None None None +7 1923 0.31506553292274475 606.8954467773438 600.2468872070312 None None None +7 1924 0.31501305103302 606.8745727539062 600.22705078125 None None None +7 1925 0.3150053322315216 606.8635864257812 600.2161865234375 None None None +7 1926 0.31494972109794617 606.8809814453125 600.2348022460938 None None None +7 1927 0.31494903564453125 606.9063110351562 600.2601318359375 None None None +7 1928 0.31504544615745544 606.9303588867188 600.2821655273438 None None None +7 1929 0.3150556683540344 606.94970703125 600.30126953125 None None None +7 1930 0.3150654435157776 606.9364624023438 600.2877807617188 None None None +7 1931 0.3150548040866852 606.9111938476562 600.2627563476562 None None None +7 1932 0.31506603956222534 606.880615234375 600.2319946289062 None None None +7 1933 0.3150770366191864 606.87158203125 600.22265625 None None None +7 1934 0.3150599002838135 606.8720703125 600.2235717773438 None None None +7 1935 0.31508302688598633 606.874755859375 600.2257080078125 None None None +7 1936 0.3152554929256439 606.8306274414062 600.177978515625 None None None +7 1937 0.3152849078178406 606.8527221679688 600.1995239257812 None None None +7 1938 0.3152834177017212 606.819580078125 600.1663818359375 None None None +7 1939 0.315233051776886 606.7682495117188 600.1160888671875 None None None +7 1940 0.31523892283439636 606.779052734375 600.1267700195312 None None None +7 1941 0.3152243196964264 606.7144775390625 600.0624389648438 None None None +7 1942 0.31520748138427734 606.74853515625 600.0968627929688 None None None +7 1943 0.3151566982269287 606.7484130859375 600.0977783203125 None None None +7 1944 0.3151698112487793 606.7288208007812 600.0779418945312 None None None +7 1945 0.315211683511734 606.7435913085938 600.091796875 None None None +7 1946 0.31520456075668335 606.7402954101562 600.0886840820312 None None None +7 1947 0.3151671290397644 606.7064819335938 600.0556640625 None None None +7 1948 0.3152168393135071 606.7135620117188 600.0616455078125 None None None +7 1949 0.315181702375412 606.7186889648438 600.0674438476562 None None None +7 1950 0.3151605427265167 606.6873779296875 600.0366821289062 None None None +7 1951 0.31515172123908997 606.6563110351562 600.0057373046875 None None None +7 1952 0.31513795256614685 606.6087036132812 599.9584350585938 None None None +7 1953 0.31510692834854126 606.6344604492188 599.98486328125 None None None +7 1954 0.3150661885738373 606.6618041992188 600.0130615234375 None None None +7 1955 0.31504857540130615 606.6583251953125 600.0099487304688 None None None +7 1956 0.31508588790893555 606.6321411132812 599.9830322265625 None None None +7 1957 0.31507182121276855 606.654296875 600.0054321289062 None None None +7 1958 0.3151048719882965 606.60986328125 599.9603271484375 None None None +7 1959 0.31509771943092346 606.6025390625 599.953125 None None None +7 1960 0.3150618374347687 606.540771484375 599.89208984375 None None None +7 1961 0.31508857011795044 606.5596923828125 599.9105224609375 None None None +7 1962 0.31506967544555664 606.529052734375 599.8802490234375 None None None +7 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606.5099487304688 599.8475952148438 None None None +7 2015 0.3157193958759308 606.5133056640625 599.8509521484375 None None None +7 2016 0.31576797366142273 606.51513671875 599.8516845703125 None None None +7 2017 0.3158293664455414 606.5216674804688 599.8569946289062 None None None +7 2018 0.31582212448120117 606.5114135742188 599.8468627929688 None None None +7 2019 0.3157978355884552 606.4949951171875 599.8309326171875 None None None +7 2020 0.31590408086776733 606.5123901367188 599.8461303710938 None None None +7 2021 0.3159258961677551 606.4727783203125 599.80615234375 None None None +7 2022 0.3159301280975342 606.462158203125 599.79541015625 None None None +7 2023 0.3159507215023041 606.4757690429688 599.80859375 None None None +7 2024 0.3159482479095459 606.4956665039062 599.8285522460938 None None None +7 2025 0.3159758448600769 606.47216796875 599.804443359375 None None None +7 2026 0.31593745946884155 606.4718627929688 599.8048706054688 None None None +7 2027 0.3159509599208832 606.4517822265625 599.7844848632812 None None None +7 2028 0.3159520924091339 606.4536743164062 599.786376953125 None None None +7 2029 0.315980464220047 606.457763671875 599.7899169921875 None None None +7 2030 0.31597352027893066 606.4743041992188 599.806640625 None None None +7 2031 0.31596285104751587 606.4827270507812 599.8152465820312 None None None +7 2032 0.31605464220046997 606.4417724609375 599.7723388671875 None None None +7 2033 0.3161178529262543 606.4486083984375 599.7778930664062 None None None +7 2034 0.3161364495754242 606.4718017578125 599.8006591796875 None None None +7 2035 0.3161851763725281 606.4486083984375 599.7764282226562 None None None +7 2036 0.3161796033382416 606.447021484375 599.7749633789062 None None None +7 2037 0.3162224590778351 606.478759765625 599.8057861328125 None None None +7 2038 0.31620314717292786 606.4994506835938 599.8269653320312 None None None +7 2039 0.3162022829055786 606.5364990234375 599.8640747070312 None None None 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None +7 2053 0.31623175740242004 606.5684814453125 599.895263671875 None None None +7 2054 0.3162561357021332 606.5193481445312 599.8456420898438 None None None +7 2055 0.3162798583507538 606.4969482421875 599.82275390625 None None None +7 2056 0.316305011510849 606.4876098632812 599.8128662109375 None None None +7 2057 0.31629490852355957 606.48583984375 599.8114013671875 None None None +7 2058 0.3162267506122589 606.4783325195312 599.8052978515625 None None None +7 2059 0.3162086308002472 606.4454345703125 599.7728271484375 None None None +7 2060 0.3161458671092987 606.4467163085938 599.775390625 None None None +7 2061 0.316165566444397 606.4797973632812 599.8080444335938 None None None +7 2062 0.3161966800689697 606.4429321289062 599.7705078125 None None None +7 2063 0.31617164611816406 606.4591064453125 599.7871704101562 None None None +7 2064 0.31618040800094604 606.4500122070312 599.7779541015625 None None None +7 2065 0.31615501642227173 606.4800415039062 599.8084716796875 None 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None +8 1892 0.30202150344848633 602.4828491210938 596.1107788085938 None None None +8 1893 0.30202287435531616 602.50634765625 596.1343383789062 None None None +8 1894 0.30199670791625977 602.5418701171875 596.1703491210938 None None None +8 1895 0.30198216438293457 602.4908447265625 596.1196899414062 None None None +8 1896 0.3020237982273102 602.440185546875 596.068115234375 None None None +8 1897 0.30199724435806274 602.4335327148438 596.0620727539062 None None None +8 1898 0.30201515555381775 602.4580078125 596.086181640625 None None None +8 1899 0.3019980490207672 602.4408569335938 596.0693359375 None None None +8 1900 0.301962673664093 602.4376220703125 596.0668334960938 None None None +8 1901 0.30199670791625977 602.4654541015625 596.093994140625 None None None +8 1902 0.30196210741996765 602.4635620117188 596.0928344726562 None None None +8 1903 0.3019731640815735 602.5067749023438 596.1358642578125 None None None +8 1904 0.3019571602344513 602.49365234375 596.1231079101562 None None None +8 1905 0.3019259572029114 602.4996337890625 596.1297607421875 None None None +8 1906 0.3020046055316925 602.500244140625 596.1286010742188 None None None +8 1907 0.30201736092567444 602.4646606445312 596.0927734375 None None None +8 1908 0.3020683526992798 602.4777221679688 596.1046752929688 None None None +8 1909 0.30203402042388916 602.4708862304688 596.0986328125 None None None +8 1910 0.3020884692668915 602.4444580078125 596.071044921875 None None None +8 1911 0.3020437955856323 602.4627075195312 596.0901489257812 None None None +8 1912 0.3020174205303192 602.4823608398438 596.1104125976562 None None None +8 1913 0.3020487129688263 602.5061645507812 596.133544921875 None None None +8 1914 0.30207711458206177 602.5153198242188 596.14208984375 None None None +8 1915 0.30207428336143494 602.5122680664062 596.13916015625 None None None +8 1916 0.3020903170108795 602.509765625 596.1362915039062 None None None +8 1917 0.3020769953727722 602.5462646484375 596.173095703125 None None None +8 1918 0.30203989148139954 602.5693969726562 596.1970825195312 None None None +8 1919 0.3020504117012024 602.5863037109375 596.2138061523438 None None None +8 1920 0.30201050639152527 602.6070556640625 596.2353515625 None None None +8 1921 0.3019923269748688 602.6276245117188 596.2562866210938 None None None +8 1922 0.30197253823280334 602.656982421875 596.2861328125 None None None +8 1923 0.30196550488471985 602.6785888671875 596.307861328125 None None None +8 1924 0.30197641253471375 602.6849975585938 596.3140869140625 None None None +8 1925 0.3019768297672272 602.6781005859375 596.3071899414062 None None None +8 1926 0.3019370436668396 602.6636962890625 596.2935791015625 None None None +8 1927 0.30195969343185425 602.6615600585938 596.291015625 None None None +8 1928 0.30200278759002686 602.6406860351562 596.2692260742188 None None None +8 1929 0.30199792981147766 602.6490478515625 596.2777099609375 None None None +8 1930 0.3020026683807373 602.6533203125 596.2818603515625 None None None +8 1931 0.30198177695274353 602.6333618164062 596.2623291015625 None None None +8 1932 0.3019506633281708 602.5635375976562 596.1931762695312 None None None +8 1933 0.30194735527038574 602.608642578125 596.2383422851562 None None None +8 1934 0.3019092082977295 602.579833984375 596.2103881835938 None None None +8 1935 0.30199697613716125 602.5987548828125 596.2275390625 None None None +8 1936 0.30201637744903564 602.6214599609375 596.2498168945312 None None None +8 1937 0.30200913548469543 602.6025390625 596.2310791015625 None None None +8 1938 0.30202123522758484 602.599365234375 596.2276000976562 None None None +8 1939 0.30203866958618164 602.5881958007812 596.216064453125 None None None +8 1940 0.30200791358947754 602.6092529296875 596.2377319335938 None None None +8 1941 0.30204394459724426 602.6170654296875 596.2448120117188 None None None +8 1942 0.3021257817745209 602.6089477539062 596.2349243164062 None None None +8 1943 0.3021111786365509 602.5723266601562 596.1986694335938 None None None +8 1944 0.30216047167778015 602.5512084960938 596.176513671875 None None None +8 1945 0.30218008160591125 602.565673828125 596.1905517578125 None None None +8 1946 0.3021688163280487 602.5311279296875 596.15625 None None None +8 1947 0.3021758198738098 602.525390625 596.150390625 None None None +8 1948 0.3021739423274994 602.525390625 596.150390625 None None None +8 1949 0.3022225797176361 602.6053466796875 596.2293701171875 None None None +8 1950 0.3023139238357544 602.6184692382812 596.2405395507812 None None None +8 1951 0.30230438709259033 602.6627807617188 596.2850952148438 None None None +8 1952 0.3023320734500885 602.640625 596.2622680664062 None None None +8 1953 0.3023776710033417 602.6568603515625 596.277587890625 None None None +8 1954 0.302374005317688 602.661865234375 596.2825927734375 None None None +8 1955 0.30233389139175415 602.66748046875 596.2891235351562 None None None +8 1956 0.3023259937763214 602.5944213867188 596.2162475585938 None None None +8 1957 0.3022907078266144 602.5779418945312 596.2005004882812 None None None +8 1958 0.30231285095214844 602.5804443359375 596.2025756835938 None None None +8 1959 0.3022768497467041 602.5687255859375 596.1915893554688 None None None +8 1960 0.3022618293762207 602.548828125 596.1719970703125 None None None +8 1961 0.30225151777267456 602.5460205078125 596.1694946289062 None None None +8 1962 0.3023136258125305 602.55908203125 596.1812744140625 None None None +8 1963 0.3022589385509491 602.563720703125 596.18701171875 None None None +8 1964 0.30225616693496704 602.5800170898438 596.2034301757812 None None None +8 1965 0.30223512649536133 602.5599365234375 596.1837768554688 None None None +8 1966 0.3022846579551697 602.5454711914062 596.1682739257812 None None None +8 1967 0.30227378010749817 602.5469360351562 596.1699829101562 None None None +8 1968 0.302280068397522 602.5466918945312 596.1696166992188 None None None +8 1969 0.30233055353164673 602.5416259765625 596.1633911132812 None None None +8 1970 0.3023683428764343 602.578369140625 596.1993408203125 None None None +8 1971 0.30233973264694214 602.6024780273438 596.2240600585938 None None None +8 1972 0.3023291528224945 602.59326171875 596.215087890625 None None None +8 1973 0.30231791734695435 602.6192016601562 596.2412719726562 None None None +8 1974 0.30231669545173645 602.5992431640625 596.2213134765625 None None None +8 1975 0.3023313879966736 602.6573486328125 596.2791137695312 None None None +8 1976 0.30227047204971313 602.6386108398438 596.2616577148438 None None None +8 1977 0.30238455533981323 602.6207275390625 596.2413330078125 None None None +8 1978 0.3023337423801422 602.5764770507812 596.1981811523438 None None None +8 1979 0.30234554409980774 602.57421875 596.1956787109375 None None None +8 1980 0.30230212211608887 602.5277099609375 596.150146484375 None None None +8 1981 0.30226680636405945 602.5042114257812 596.1273193359375 None None None +8 1982 0.3022637367248535 602.5311889648438 596.1544189453125 None None None +8 1983 0.3022276759147644 602.522705078125 596.1466674804688 None None None +8 1984 0.3022599220275879 602.5294799804688 596.1527709960938 None None None +8 1985 0.30224648118019104 602.5219116210938 596.1455078125 None None None +8 1986 0.30229586362838745 602.4791870117188 596.1017456054688 None None None +8 1987 0.30226102471351624 602.4647216796875 596.0880126953125 None None None +8 1988 0.30223920941352844 602.4840087890625 596.1077880859375 None None None +8 1989 0.3022266626358032 602.4700927734375 596.0941772460938 None None None +8 1990 0.30226224660873413 602.4801025390625 596.1033935546875 None None None +8 1991 0.30224746465682983 602.4949340820312 596.1185302734375 None None None +8 1992 0.3022802174091339 602.508544921875 596.1314697265625 None None None +8 1993 0.3022345304489136 602.517578125 596.1414794921875 None None None +8 1994 0.3023105561733246 602.5111083984375 596.1334838867188 None None None +8 1995 0.30235421657562256 602.513671875 596.1350708007812 None None None +8 1996 0.3023521900177002 602.5237426757812 596.145263671875 None None None +8 1997 0.302360862493515 602.5365600585938 596.1578369140625 None None None +8 1998 0.30233338475227356 602.5228881835938 596.144775390625 None None None +8 1999 0.30235201120376587 602.4893188476562 596.1109008789062 None None None +8 2000 0.30237630009651184 602.505615234375 596.1265869140625 None None None +8 2001 0.3024238646030426 602.4908447265625 596.11083984375 None None None +8 2002 0.30241990089416504 602.4974975585938 596.1174926757812 None None None +8 2003 0.30242693424224854 602.5003051757812 596.1201782226562 None None None +8 2004 0.30241745710372925 602.538330078125 596.158447265625 None None None +8 2005 0.3023766577243805 602.564208984375 596.1851806640625 None None None +8 2006 0.30234187841415405 602.5477905273438 596.1694946289062 None None None +8 2007 0.3023187518119812 602.5348510742188 596.1570434570312 None None None +8 2008 0.3023115396499634 602.5249633789062 596.1472778320312 None None None +8 2009 0.3023291528224945 602.5286865234375 596.150634765625 None None None +8 2010 0.3023126423358917 602.5496215820312 596.171875 None None None +8 2011 0.3023351728916168 602.5455322265625 596.1673583984375 None None None +8 2012 0.3023245632648468 602.5436401367188 596.1656494140625 None None None +8 2013 0.30233243107795715 602.5392456054688 596.1610717773438 None None None +8 2014 0.3023161292076111 602.5233154296875 596.1455078125 None None None +8 2015 0.3022788166999817 602.5280151367188 596.1510009765625 None None None +8 2016 0.3022291660308838 602.5466918945312 596.1707763671875 None None None +8 2017 0.3022404611110687 602.5531616210938 596.177001953125 None None None +8 2018 0.30223387479782104 602.5510864257812 596.1749877929688 None None None +8 2019 0.30222973227500916 602.5900268554688 596.214111328125 None None None +8 2020 0.30221351981163025 602.5896606445312 596.214111328125 None None None +8 2021 0.30221036076545715 602.5927734375 596.2173461914062 None None None +8 2022 0.3022541403770447 602.6246948242188 596.248291015625 None None None +8 2023 0.30222025513648987 602.6123046875 596.2366333007812 None None None +8 2024 0.30217787623405457 602.5900268554688 596.2152709960938 None None None +8 2025 0.3021756410598755 602.55419921875 596.1795043945312 None None None +8 2026 0.30212026834487915 602.5469970703125 596.1734619140625 None None None +8 2027 0.30215248465538025 602.5521850585938 596.177978515625 None None None +8 2028 0.30214929580688477 602.5980224609375 596.223876953125 None None None +8 2029 0.30212968587875366 602.5968017578125 596.2230224609375 None None None +8 2030 0.302146315574646 602.5966186523438 596.2224731445312 None None None +8 2031 0.30216315388679504 602.554443359375 596.1799926757812 None None None +8 2032 0.3022407293319702 602.5548095703125 596.1787719726562 None None None +8 2033 0.302270770072937 602.5399169921875 596.1632080078125 None None None +8 2034 0.3022726774215698 602.5442504882812 596.1675415039062 None None None +8 2035 0.3022426664829254 602.542236328125 596.1660766601562 None None None +8 2036 0.30226415395736694 602.5178833007812 596.141357421875 None None None +8 2037 0.3022395372390747 602.55078125 596.1746826171875 None None None +8 2038 0.30220502614974976 602.5615844726562 596.186279296875 None None None +8 2039 0.3021984398365021 602.5294189453125 596.1542358398438 None None None +8 2040 0.302193820476532 602.5386962890625 596.16357421875 None None None +8 2041 0.3021943271160126 602.5438232421875 596.1685791015625 None None None +8 2042 0.30218571424484253 602.5826416015625 596.2076416015625 None None None +8 2043 0.3021201491355896 602.5676879882812 596.194091796875 None None None +8 2044 0.3020745813846588 602.58935546875 596.2167358398438 None None None +8 2045 0.30204474925994873 602.626220703125 596.2542114257812 None None None +8 2046 0.30201229453086853 602.6646118164062 596.293212890625 None None None +8 2047 0.30199602246284485 602.6514892578125 596.2804565429688 None None None +8 2048 0.30203598737716675 602.6605224609375 596.2886352539062 None None None +8 2049 0.3020206093788147 602.6165771484375 596.2449951171875 None None None +8 2050 0.30204081535339355 602.6233520507812 596.2513427734375 None None None +8 2051 0.30203118920326233 602.6295776367188 596.2577514648438 None None None +8 2052 0.30204811692237854 602.6815185546875 596.309326171875 None None None +8 2053 0.3019937574863434 602.6618041992188 596.2906494140625 None None None +8 2054 0.3020113706588745 602.6785888671875 596.30712890625 None None None +8 2055 0.301999568939209 602.6799926757812 596.3087158203125 None None None +8 2056 0.3019992411136627 602.6717529296875 596.300537109375 None None None +8 2057 0.3020103871822357 602.7041015625 596.3327026367188 None None None +8 2058 0.3019697368144989 602.6817626953125 596.3112182617188 None None None +8 2059 0.3020007014274597 602.675048828125 596.3037719726562 None None None +8 2060 0.30203118920326233 602.7158203125 596.343994140625 None None None +8 2061 0.3020097017288208 602.7376708984375 596.3662719726562 None None None +8 2062 0.3020094335079193 602.7448120117188 596.3734741210938 None None None +8 2063 0.3019779622554779 602.7570190429688 596.3862915039062 None None None +8 2064 0.3019774854183197 602.7266845703125 596.35595703125 None None None +8 2065 0.30197685956954956 602.7399291992188 596.3692626953125 None None None +8 2066 0.3019629418849945 602.7078247070312 596.33740234375 None None None +8 2067 0.3019495904445648 602.7031860351562 596.3330688476562 None None None +8 2068 0.3019600212574005 602.6657104492188 596.2953491210938 None None None +8 2069 0.30193108320236206 602.6533813476562 596.2836303710938 None None None +8 2070 0.3019391894340515 602.6607055664062 596.290771484375 None None None +8 2071 0.30187809467315674 602.6336059570312 596.2650146484375 None None None +8 2072 0.3019658029079437 602.6182861328125 596.247802734375 None None None +8 2073 0.30190855264663696 602.6304321289062 596.2611694335938 None None None +8 2074 0.30193647742271423 602.618408203125 596.2485961914062 None None None +8 2075 0.3019140958786011 602.6493530273438 596.2799682617188 None None None +8 2076 0.30190324783325195 602.6568603515625 596.2877197265625 None None None +8 2077 0.3018989562988281 602.7046508789062 596.3356323242188 None None None +8 2078 0.3019174039363861 602.7408447265625 596.371337890625 None None None +8 2079 0.30192938446998596 602.7424926757812 596.3727416992188 None None None +8 2080 0.3019118010997772 602.7303466796875 596.3609619140625 None None None +8 2081 0.3018927574157715 602.7311401367188 596.3621826171875 None None None +8 2082 0.3018732964992523 602.7459106445312 596.3773803710938 None None None +8 2083 0.30187761783599854 602.7224731445312 596.3538208007812 None None None +8 2084 0.30184751749038696 602.740234375 596.3721313476562 None None None +8 2085 0.30189141631126404 602.7137451171875 596.3447875976562 None None None +8 2086 0.30192825198173523 602.7066650390625 596.3369140625 None None None +8 2087 0.3019011914730072 602.6770629882812 596.3079223632812 None None None +8 2088 0.30197033286094666 602.6635131835938 596.2929077148438 None None None +8 2089 0.3020060956478119 602.6795654296875 596.3082275390625 None None None +8 2090 0.30200105905532837 602.6563110351562 596.2850341796875 None None None +8 2091 0.3020305335521698 602.66748046875 596.295654296875 None None None +8 2092 0.3020317554473877 602.666015625 596.2940673828125 None None None +8 2093 0.3020619750022888 602.6730346679688 596.300537109375 None None None +8 2094 0.3020448386669159 602.6589965820312 596.2868041992188 None None None +8 2095 0.3020545542240143 602.6314697265625 596.2590942382812 None None None +8 2096 0.302065908908844 602.6166381835938 596.2440795898438 None None None +8 2097 0.30211031436920166 602.6527709960938 596.2792358398438 None None None +8 2098 0.3020835518836975 602.6737060546875 596.3007202148438 None None None +8 2099 0.3020710349082947 602.7266845703125 596.3539428710938 None None None +8 2100 0.3020418882369995 602.7393188476562 596.3671875 None None None +8 2101 0.30203136801719666 602.7310180664062 596.3590698242188 None None None +8 2102 0.3020021915435791 602.764892578125 596.3936157226562 None None None +8 2103 0.30194973945617676 602.7538452148438 596.3837280273438 None None None +8 2104 0.302215039730072 602.756591796875 596.380859375 None None None +8 2105 0.30220669507980347 602.7649536132812 596.389404296875 None None None +8 2106 0.30223408341407776 602.7499389648438 596.373779296875 None None None +8 2107 0.3022488057613373 602.7555541992188 596.379150390625 None None None +8 2108 0.3022831380367279 602.7181396484375 596.3410034179688 None None None +8 2109 0.30226263403892517 602.7417602539062 596.3650512695312 None None None +8 2110 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0.29774919152259827 602.3424072265625 596.0604248046875 None None None +9 1831 0.29768890142440796 602.38818359375 596.107421875 None None None +9 1832 0.2977025806903839 602.3966674804688 596.1156005859375 None None None +9 1833 0.2976623773574829 602.4312133789062 596.1510009765625 None None None +9 1834 0.2976316809654236 602.4414672851562 596.161865234375 None None None +9 1835 0.29763302206993103 602.454833984375 596.1752319335938 None None None +9 1836 0.29763108491897583 602.4883422851562 596.208740234375 None None None +9 1837 0.2975793778896332 602.4752197265625 596.1967163085938 None None None +9 1838 0.29762929677963257 602.4758911132812 596.1963500976562 None None None +9 1839 0.29767003655433655 602.45458984375 596.1741943359375 None None None +9 1840 0.2976439297199249 602.462890625 596.18310546875 None None None +9 1841 0.29762858152389526 602.4808349609375 596.2012939453125 None None None +9 1842 0.2976343333721161 602.4886474609375 596.208984375 None None None +9 1843 0.297603040933609 602.5059204101562 596.2269897460938 None None None +9 1844 0.2976406216621399 602.4674682617188 596.187744140625 None None None +9 1845 0.29765254259109497 602.445556640625 596.1655883789062 None None None +9 1846 0.2976062297821045 602.468505859375 596.189453125 None None None +9 1847 0.2975727319717407 602.4728393554688 596.194580078125 None None None +9 1848 0.29757481813430786 602.486083984375 596.207763671875 None None None +9 1849 0.29755645990371704 602.4910888671875 596.2131958007812 None None None +9 1850 0.2975226640701294 602.4813842773438 596.2041625976562 None None None +9 1851 0.29748499393463135 602.4362182617188 596.1597900390625 None None None +9 1852 0.2975013554096222 602.4103393554688 596.1336059570312 None None None +9 1853 0.29752132296562195 602.3995971679688 596.1224365234375 None None None +9 1854 0.29750630259513855 602.4085083007812 596.1317138671875 None None None +9 1855 0.29749563336372375 602.3814697265625 596.1048583984375 None None None +9 1856 0.2974777817726135 602.3483276367188 596.0720825195312 None None None +9 1857 0.29756009578704834 602.3414916992188 596.0634765625 None None None +9 1858 0.2975788414478302 602.3190307617188 596.0406494140625 None None None +9 1859 0.29754403233528137 602.3059692382812 596.0283203125 None None None +9 1860 0.2975451946258545 602.3098754882812 596.0322875976562 None None None +9 1861 0.2975110113620758 602.2919921875 596.0150756835938 None None None +9 1862 0.2975063920021057 602.2977905273438 596.02099609375 None None None +9 1863 0.29754650592803955 602.3154907226562 596.0377807617188 None None None +9 1864 0.29753443598747253 602.3318481445312 596.0545043945312 None None None +9 1865 0.2975570261478424 602.3065795898438 596.0286865234375 None None None +9 1866 0.297518253326416 602.3234252929688 596.04638671875 None None None +9 1867 0.2975177764892578 602.2967529296875 596.0197143554688 None None None +9 1868 0.2975001335144043 602.2680053710938 595.9913940429688 None 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602.2395629882812 595.9669799804688 None None None +9 1921 0.29727426171302795 602.26416015625 595.9918212890625 None None None +9 1922 0.29730722308158875 602.2203369140625 595.9473266601562 None None None +9 1923 0.297319233417511 602.2299194335938 595.9566040039062 None None None +9 1924 0.297338604927063 602.2338256835938 595.9601440429688 None None None +9 1925 0.29731568694114685 602.219970703125 595.94677734375 None None None +9 1926 0.29727503657341003 602.2655639648438 595.9932861328125 None None None +9 1927 0.2972690761089325 602.2742919921875 596.0020141601562 None None None +9 1928 0.29723793268203735 602.248779296875 595.9772338867188 None None None +9 1929 0.2971925735473633 602.2564697265625 595.9859008789062 None None None +9 1930 0.29719433188438416 602.2658081054688 595.9952392578125 None None None +9 1931 0.29719555377960205 602.26513671875 595.9945068359375 None None None +9 1932 0.2972034513950348 602.2468872070312 595.9761352539062 None None None +9 1933 0.2971671521663666 602.2250366210938 595.955078125 None None None +9 1934 0.2971761226654053 602.2238159179688 595.9536743164062 None None None +9 1935 0.29717424511909485 602.221435546875 595.9513549804688 None None None +9 1936 0.2972196340560913 602.247314453125 595.9761962890625 None None None +9 1937 0.29725268483161926 602.226806640625 595.9550170898438 None None None +9 1938 0.29726970195770264 602.22265625 595.9505615234375 None None None +9 1939 0.2972540557384491 602.2296142578125 595.9578857421875 None None None +9 1940 0.2972167432308197 602.2705688476562 595.9995727539062 None None None +9 1941 0.2972602844238281 602.3165283203125 596.044677734375 None None None +9 1942 0.297254353761673 602.3577880859375 596.0860595703125 None None None +9 1943 0.2972089648246765 602.3643798828125 596.0936279296875 None None None +9 1944 0.2972005009651184 602.37255859375 596.1019897460938 None None None +9 1945 0.2971993386745453 602.3920288085938 596.1214599609375 None None None +9 1946 0.29720339179039 602.3866577148438 596.1160278320312 None None None +9 1947 0.2972501814365387 602.3779907226562 596.1063232421875 None None None +9 1948 0.29721927642822266 602.376708984375 596.105712890625 None None None +9 1949 0.29721036553382874 602.3897705078125 596.1189575195312 None None None +9 1950 0.29722368717193604 602.4147338867188 596.1436157226562 None None None +9 1951 0.2972727119922638 602.405029296875 596.1328735351562 None None None +9 1952 0.29728177189826965 602.3939208984375 596.1216430664062 None None None +9 1953 0.2973044812679291 602.3896484375 596.1168823242188 None None None +9 1954 0.2972694933414459 602.3526611328125 596.0806884765625 None None None +9 1955 0.2972430884838104 602.29443359375 596.0230102539062 None None None +9 1956 0.2972531020641327 602.312255859375 596.04052734375 None None None +9 1957 0.2972370386123657 602.2783813476562 596.007080078125 None None None +9 1958 0.297254741191864 602.2965087890625 596.0248413085938 None None None +9 1959 0.29733365774154663 602.3358764648438 596.0625610351562 None None None +9 1960 0.2973591089248657 602.3565063476562 596.0825805664062 None None None +9 1961 0.29733479022979736 602.4024658203125 596.1290893554688 None None None +9 1962 0.29730668663978577 602.4345703125 596.1617431640625 None None None +9 1963 0.2973216474056244 602.4163208007812 596.1432495117188 None None None +9 1964 0.2973228096961975 602.4544677734375 596.1813354492188 None None None +9 1965 0.29737576842308044 602.450439453125 596.1761474609375 None None None +9 1966 0.29738596081733704 602.4793090820312 596.2047729492188 None None None +9 1967 0.2973698377609253 602.4608154296875 596.1866455078125 None None None +9 1968 0.29740649461746216 602.478271484375 596.2033081054688 None None None +9 1969 0.2973922789096832 602.4839477539062 596.2093505859375 None None None +9 1970 0.2974001467227936 602.512451171875 596.2376708984375 None None None +9 1971 0.2973483204841614 602.52490234375 596.251220703125 None None None +9 1972 0.2972926199436188 602.5343017578125 596.2618408203125 None None None +9 1973 0.29729849100112915 602.5625610351562 596.2899780273438 None None None +9 1974 0.2973104417324066 602.5530395507812 596.2801513671875 None None None +9 1975 0.29736024141311646 602.576416015625 596.302490234375 None None None +9 1976 0.2973799705505371 602.554931640625 596.2805786132812 None None None +9 1977 0.2973570227622986 602.6337890625 596.3599853515625 None None None +9 1978 0.29741060733795166 602.6686401367188 596.3937377929688 None None None +9 1979 0.2974397540092468 602.6646118164062 596.3890380859375 None None None +9 1980 0.29741284251213074 602.655029296875 596.3800659179688 None None None +9 1981 0.29740414023399353 602.630615234375 596.3557739257812 None None None +9 1982 0.29747986793518066 602.58154296875 596.30517578125 None None None +9 1983 0.29746657609939575 602.587890625 596.3118286132812 None None None +9 1984 0.297484427690506 602.5759887695312 596.299560546875 None None None +9 1985 0.29748407006263733 602.5768432617188 596.3004150390625 None None None +9 1986 0.29745152592658997 602.610595703125 596.3348999023438 None None None +9 1987 0.29747265577316284 602.5927124023438 596.3165893554688 None None None +9 1988 0.2974322736263275 602.62548828125 596.3502197265625 None None None +9 1989 0.2973991930484772 602.6126098632812 596.3380126953125 None None None +9 1990 0.29737988114356995 602.6201782226562 596.3460083007812 None None None +9 1991 0.2973712384700775 602.6110229492188 596.3370361328125 None None None +9 1992 0.29736489057540894 602.6463623046875 596.3724975585938 None None None +9 1993 0.2973967492580414 602.67822265625 596.4037475585938 None None None +9 1994 0.2973596155643463 602.6838989257812 596.4102172851562 None None None +9 1995 0.2973184287548065 602.70166015625 596.4288330078125 None None None +9 1996 0.2973061800003052 602.7135009765625 596.44091796875 None None None +9 1997 0.29726219177246094 602.6940307617188 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585.4403076171875 None None None +12 1940 0.24375270307064056 590.5525512695312 585.4088745117188 None None None +12 1941 0.24372254312038422 590.5267333984375 585.3836059570312 None None None +12 1942 0.2437455654144287 590.55126953125 585.4076538085938 None None None +12 1943 0.24375662207603455 590.5509033203125 585.406982421875 None None None +12 1944 0.243778795003891 590.5325927734375 585.3882446289062 None None None +12 1945 0.24373789131641388 590.544677734375 585.4011840820312 None None None +12 1946 0.24370558559894562 590.5325317382812 585.3897094726562 None None None +12 1947 0.24369387328624725 590.4896850585938 585.3471069335938 None None None +12 1948 0.24369637668132782 590.4920654296875 585.3494873046875 None None None +12 1949 0.24368275701999664 590.4876098632812 585.3453979492188 None None None +12 1950 0.2437061071395874 590.4904174804688 585.3477172851562 None None None +12 1951 0.2437456250190735 590.4595947265625 585.3160400390625 None None None +12 1952 0.24377138912677765 590.4701538085938 585.3261108398438 None None None +12 1953 0.24376694858074188 590.4575805664062 585.3136596679688 None None None +12 1954 0.24379587173461914 590.4358520507812 585.2913208007812 None None None +12 1955 0.24381117522716522 590.3827514648438 585.2379150390625 None None None +12 1956 0.24385115504264832 590.3965454101562 585.2508544921875 None None None +12 1957 0.24383895099163055 590.422607421875 585.2771606445312 None None None +12 1958 0.2438245564699173 590.4313354492188 585.2861938476562 None None None +12 1959 0.24380198121070862 590.4276733398438 585.282958984375 None None None +12 1960 0.2437572479248047 590.4218139648438 585.278076171875 None None None +12 1961 0.24389435350894928 590.4253540039062 585.27880859375 None None None +12 1962 0.2438923865556717 590.4222412109375 585.2756958007812 None None None +12 1963 0.24389556050300598 590.427978515625 585.2814331054688 None None None +12 1964 0.2439701408147812 590.4343872070312 585.2863159179688 None None None +12 1965 0.24393968284130096 590.4999389648438 585.3525390625 None None None +12 1966 0.24394579231739044 590.4920654296875 585.344482421875 None None None +12 1967 0.2439543455839157 590.511474609375 585.36376953125 None None None +12 1968 0.24393531680107117 590.5261840820312 585.3788452148438 None None None +12 1969 0.24392861127853394 590.4869995117188 585.3397827148438 None None None +12 1970 0.2439240962266922 590.4680786132812 585.321044921875 None None None +12 1971 0.24389395117759705 590.4466552734375 585.30029296875 None None None +12 1972 0.24386580288410187 590.4544677734375 585.3086547851562 None None None +12 1973 0.2438739687204361 590.477294921875 585.331298828125 None None None +12 1974 0.2439068853855133 590.4893188476562 585.3425903320312 None None None +12 1975 0.24387674033641815 590.4851684570312 585.3391723632812 None None None +12 1976 0.24389202892780304 590.4697875976562 585.3233642578125 None None None +12 1977 0.24385866522789001 590.490478515625 585.3447265625 None None None +12 1978 0.24381962418556213 590.4859008789062 585.3410034179688 None None None +12 1979 0.24380235373973846 590.4705200195312 585.325927734375 None None None +12 1980 0.24378067255020142 590.4710083007812 585.326904296875 None None None +12 1981 0.24374549090862274 590.4441528320312 585.30078125 None None None +12 1982 0.24372659623622894 590.4854125976562 585.3424072265625 None None None +12 1983 0.2437102496623993 590.4799194335938 585.3372192382812 None None None +12 1984 0.243699848651886 590.5328369140625 585.3903198242188 None None None +12 1985 0.24372918903827667 590.518798828125 585.375732421875 None None None +12 1986 0.24371933937072754 590.5106811523438 585.3677978515625 None None None +12 1987 0.2437109351158142 590.5299682617188 585.38720703125 None None None +12 1988 0.24374882876873016 590.5208740234375 585.3772583007812 None None None +12 1989 0.24372611939907074 590.5042724609375 585.3612060546875 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0.24401535093784332 590.5577392578125 585.4085083007812 None None None +12 2016 0.24402174353599548 590.5502319335938 585.40087890625 None None None +12 2017 0.24403439462184906 590.5345458984375 585.385009765625 None None None +12 2018 0.2440039962530136 590.5120239257812 585.3630981445312 None None None +12 2019 0.24401088058948517 590.5081176757812 585.3590698242188 None None None +12 2020 0.24398566782474518 590.4938354492188 585.3452758789062 None None None +12 2021 0.24400800466537476 590.5288696289062 585.3798828125 None None None +12 2022 0.24404029548168182 590.50732421875 585.357666015625 None None None +12 2023 0.24404942989349365 590.5256958007812 585.3757934570312 None None None +12 2024 0.24405476450920105 590.4845581054688 585.3345336914062 None None None +12 2025 0.24405056238174438 590.535888671875 585.3859252929688 None None None +12 2026 0.24410253763198853 590.5186157226562 585.3675537109375 None None None +12 2027 0.24406197667121887 590.485107421875 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0.23735949397087097 587.3229370117188 582.3138427734375 None None None +13 1911 0.23737545311450958 587.3005981445312 582.2911987304688 None None None +13 1912 0.23734426498413086 587.2977905273438 582.2890014648438 None None None +13 1913 0.23733340203762054 587.2971801757812 582.28857421875 None None None +13 1914 0.23732377588748932 587.300048828125 582.2916870117188 None None None +13 1915 0.2373397946357727 587.3523559570312 582.3436889648438 None None None +13 1916 0.23731473088264465 587.3370361328125 582.3289184570312 None None None +13 1917 0.23730666935443878 587.338623046875 582.3306884765625 None None None +13 1918 0.23730699717998505 587.380859375 582.3729248046875 None None None +13 1919 0.2373317927122116 587.401123046875 582.3926391601562 None None None +13 1920 0.23739631474018097 587.367919921875 582.3580932617188 None None None +13 1921 0.2374044507741928 587.3798828125 582.3699340820312 None None None +13 1922 0.23749703168869019 587.3262329101562 582.3143310546875 None None None +13 1923 0.23755811154842377 587.3077392578125 582.2945556640625 None None None +13 1924 0.23757348954677582 587.2947387695312 582.28125 None None None +13 1925 0.23757199943065643 587.2714233398438 582.2579345703125 None None None +13 1926 0.23758070170879364 587.2034912109375 582.1898193359375 None None None +13 1927 0.2376011461019516 587.2220458984375 582.2079467773438 None None None +13 1928 0.23760685324668884 587.2630004882812 582.2488403320312 None None None +13 1929 0.23757967352867126 587.2552490234375 582.2416381835938 None None None +13 1930 0.23756034672260284 587.2367553710938 582.2235107421875 None None None +13 1931 0.23757140338420868 587.2213134765625 582.2078857421875 None None None +13 1932 0.2376023232936859 587.1991577148438 582.1849975585938 None None None +13 1933 0.2375951111316681 587.2244262695312 582.2103881835938 None None None +13 1934 0.23766566812992096 587.2344970703125 582.218994140625 None None None +13 1935 0.2376915067434311 587.2311401367188 582.215087890625 None None None +13 1936 0.23766951262950897 587.2049560546875 582.1893310546875 None None None +13 1937 0.2376704066991806 587.22802734375 582.2123413085938 None None None +13 1938 0.23770427703857422 587.2255249023438 582.2091064453125 None None None +13 1939 0.23766852915287018 587.255126953125 582.2395629882812 None None None +13 1940 0.2377416491508484 587.2744140625 582.2572631835938 None None None +13 1941 0.23774132132530212 587.21484375 582.19775390625 None None None +13 1942 0.2377220243215561 587.16552734375 582.1488037109375 None None None +13 1943 0.23768699169158936 587.1627807617188 582.1467895507812 None None None +13 1944 0.23767009377479553 587.1364135742188 582.1207885742188 None None None +13 1945 0.2376376986503601 587.12255859375 582.1075439453125 None None None +13 1946 0.2376202791929245 587.1430053710938 582.1282958984375 None None None +13 1947 0.23757334053516388 587.1139526367188 582.1002807617188 None None None +13 1948 0.23763824999332428 587.1064453125 582.0914306640625 None None None +13 1949 0.23767924308776855 587.0914306640625 582.0755615234375 None None None +13 1950 0.2376650869846344 587.0498046875 582.0343017578125 None None None +13 1951 0.23761463165283203 587.00830078125 581.993896484375 None None None +13 1952 0.2376066893339157 587.0231323242188 582.0089111328125 None None None +13 1953 0.2376030534505844 587.0275268554688 582.0133666992188 None None None +13 1954 0.2375940978527069 586.9976806640625 581.9837646484375 None None None +13 1955 0.2375674545764923 586.9976806640625 581.9843139648438 None None None +13 1956 0.2376309633255005 586.97021484375 581.9555053710938 None None None +13 1957 0.237610325217247 586.9339599609375 581.919677734375 None None None +13 1958 0.2376503050327301 586.94140625 581.9262084960938 None None None +13 1959 0.23763814568519592 586.9436645507812 581.9287719726562 None None None +13 1960 0.2376466691493988 586.983642578125 581.968505859375 None None None +13 1961 0.23766423761844635 586.9867553710938 581.9712524414062 None None None +13 1962 0.23767085373401642 586.9761352539062 581.96044921875 None None None +13 1963 0.23766444623470306 586.9611206054688 581.945556640625 None None None +13 1964 0.2376796454191208 586.9609375 581.9451293945312 None None None +13 1965 0.2376423478126526 586.9894409179688 581.974365234375 None None None +13 1966 0.2376662790775299 586.986572265625 581.9710083007812 None None None +13 1967 0.23763616383075714 586.9481811523438 581.9331665039062 None None None +13 1968 0.23760975897312164 587.008544921875 581.994140625 None None None +13 1969 0.23764054477214813 586.98876953125 581.9737548828125 None None None +13 1970 0.23767094314098358 586.9971923828125 581.9815673828125 None None None +13 1971 0.23764431476593018 586.9414672851562 581.9263916015625 None None None +13 1972 0.23763790726661682 586.9437255859375 581.9287719726562 None None None +13 1973 0.23765696585178375 586.9956665039062 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0.2377513349056244 586.9745483398438 581.9571533203125 None None None +13 1987 0.2377435266971588 587.0001831054688 581.9829711914062 None None None +13 1988 0.23773357272148132 587.0592651367188 582.042236328125 None None None +13 1989 0.23776517808437347 587.046875 582.0291748046875 None None None +13 1990 0.2377573549747467 587.0779418945312 582.0604248046875 None None None +13 1991 0.2377457171678543 587.0722045898438 582.0549926757812 None None None +13 1992 0.23772966861724854 587.1185913085938 582.1016845703125 None None None +13 1993 0.23780767619609833 587.087890625 582.0693359375 None None None +13 1994 0.23778614401817322 587.097412109375 582.079345703125 None None None +13 1995 0.2378370612859726 587.0860595703125 582.06689453125 None None None +13 1996 0.23783272504806519 587.0681762695312 582.049072265625 None None None +13 1997 0.23781105875968933 587.0891723632812 582.0704956054688 None None None +13 1998 0.23779650032520294 587.0646362304688 582.0463256835938 None None None +13 1999 0.2378116399049759 587.038818359375 582.0202026367188 None None None +13 2000 0.23778651654720306 587.0120849609375 581.9939575195312 None None None +13 2001 0.23776155710220337 587.0498046875 582.0322265625 None None None +13 2002 0.23772111535072327 587.0673217773438 582.0505981445312 None None None +13 2003 0.23772767186164856 587.089111328125 582.072265625 None None None +13 2004 0.2377157211303711 587.0823974609375 582.0658569335938 None None None +13 2005 0.23769809305667877 587.0624389648438 582.0462646484375 None None None +13 2006 0.2376689910888672 587.1088256835938 582.09326171875 None None None +13 2007 0.2376675009727478 587.1196899414062 582.1041259765625 None None None +13 2008 0.23772276937961578 587.1162109375 582.0994873046875 None None None +13 2009 0.23771560192108154 587.1077880859375 582.0912475585938 None None None +13 2010 0.2377151995897293 587.089599609375 582.0730590820312 None None None +13 2011 0.23771196603775024 587.093505859375 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0.22848977148532867 585.2698364257812 580.4489135742188 None None None +14 1860 0.22849354147911072 585.28173828125 580.4607543945312 None None None +14 1861 0.22851811349391937 585.2654418945312 580.4439086914062 None None None +14 1862 0.22849570214748383 585.2792358398438 580.4581909179688 None None None +14 1863 0.228534534573555 585.2662963867188 580.4443969726562 None None None +14 1864 0.22853875160217285 585.2601928710938 580.4381713867188 None None None +14 1865 0.22851212322711945 585.2796630859375 580.458251953125 None None None +14 1866 0.2285323143005371 585.2277221679688 580.4058837890625 None None None +14 1867 0.22853690385818481 585.208984375 580.3870849609375 None None None +14 1868 0.22850577533245087 585.1797485351562 580.3584594726562 None None None +14 1869 0.22848917543888092 585.1300048828125 580.30908203125 None None None +14 1870 0.2284848392009735 585.1151123046875 580.2943115234375 None None None +14 1871 0.22850961983203888 585.136962890625 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0.22850710153579712 585.1798706054688 580.3585205078125 None None None +14 1885 0.22847330570220947 585.182373046875 580.3616943359375 None None None +14 1886 0.22845283150672913 585.1666259765625 580.346435546875 None None None +14 1887 0.22843213379383087 585.1455078125 580.3257446289062 None None None +14 1888 0.22843098640441895 585.1460571289062 580.3262939453125 None None None +14 1889 0.2284046858549118 585.1815795898438 580.3624267578125 None None None +14 1890 0.22848239541053772 585.2075805664062 580.3867797851562 None None None +14 1891 0.22844721376895905 585.1890869140625 580.3690185546875 None None None +14 1892 0.22846071422100067 585.1389770507812 580.318603515625 None None None +14 1893 0.22843891382217407 585.1216430664062 580.3016967773438 None None None +14 1894 0.22842729091644287 585.099609375 580.2799072265625 None None None +14 1895 0.22841283679008484 585.1419677734375 580.322509765625 None None None +14 1896 0.22841256856918335 585.1515502929688 580.3320922851562 None None None +14 1897 0.22839082777500153 585.201904296875 580.3828735351562 None None None +14 1898 0.2283710092306137 585.1950073242188 580.3764038085938 None None None +14 1899 0.22836515307426453 585.1676025390625 580.34912109375 None None None +14 1900 0.22833271324634552 585.1395263671875 580.32177734375 None None None +14 1901 0.22832100093364716 585.0960083007812 580.2784423828125 None None None +14 1902 0.2283315509557724 585.1261596679688 580.3084106445312 None None None +14 1903 0.22835269570350647 585.12548828125 580.3071899414062 None None None +14 1904 0.2283116579055786 585.1199340820312 580.3025512695312 None None None +14 1905 0.22830365598201752 585.1305541992188 580.3133544921875 None None None +14 1906 0.22834892570972443 585.0814208984375 580.2632446289062 None None None +14 1907 0.22831539809703827 585.083984375 580.2665405273438 None None None +14 1908 0.22834834456443787 585.0892944335938 580.271240234375 None None None +14 1909 0.2282973974943161 585.0866088867188 580.2696533203125 None None None +14 1910 0.22824791073799133 585.1195068359375 580.3035278320312 None None None +14 1911 0.22824829816818237 585.1589965820312 580.343017578125 None None None +14 1912 0.22822867333889008 585.173828125 580.3582153320312 None None None +14 1913 0.22826628386974335 585.1196899414062 580.3032836914062 None None None +14 1914 0.22823134064674377 585.1437377929688 580.3280639648438 None None None +14 1915 0.22825832664966583 585.1157836914062 580.299560546875 None None None +14 1916 0.22827216982841492 585.0784301757812 580.2619018554688 None None None +14 1917 0.22827407717704773 585.111328125 580.2947998046875 None None None +14 1918 0.22825837135314941 585.1586303710938 580.3424072265625 None None None +14 1919 0.22821849584579468 585.2160034179688 580.400634765625 None None None +14 1920 0.22823603451251984 585.1842651367188 580.3685302734375 None None None +14 1921 0.22827716171741486 585.2203979492188 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0.2282770276069641 585.1519775390625 580.3353271484375 None None None +14 1935 0.22825407981872559 585.1767578125 580.3606567382812 None None None +14 1936 0.22830021381378174 585.1405029296875 580.3233642578125 None None None +14 1937 0.22835546731948853 585.1778564453125 580.3595581054688 None None None +14 1938 0.22834666073322296 585.1402587890625 580.3222045898438 None None None +14 1939 0.22834983468055725 585.1614379882812 580.34326171875 None None None +14 1940 0.22836405038833618 585.143798828125 580.3253784179688 None None None +14 1941 0.22836294770240784 585.1423950195312 580.323974609375 None None None +14 1942 0.22835446894168854 585.09814453125 580.2799072265625 None None None +14 1943 0.22829289734363556 585.0460815429688 580.2291259765625 None None None +14 1944 0.2282562255859375 585.0537719726562 580.2376098632812 None None None +14 1945 0.22823598980903625 584.99560546875 580.1798095703125 None None None +14 1946 0.22822324931621552 584.9990844726562 580.1835327148438 None None None +14 1947 0.2282487452030182 584.99365234375 580.1776123046875 None None None +14 1948 0.22822138667106628 584.9844970703125 580.1690063476562 None None None +14 1949 0.22820036113262177 584.9866943359375 580.1716918945312 None None None +14 1950 0.22817978262901306 584.9821166992188 580.1675415039062 None None None +14 1951 0.22815659642219543 584.9697875976562 580.1557006835938 None None None +14 1952 0.22813034057617188 584.9810791015625 580.1675415039062 None None None +14 1953 0.22812297940254211 584.9707641601562 580.1574096679688 None None None +14 1954 0.22806623578071594 584.976806640625 580.1646118164062 None None None +14 1955 0.2280137538909912 584.9769897460938 580.1658325195312 None None None +14 1956 0.22801564633846283 584.9774780273438 580.166259765625 None None None +14 1957 0.22803933918476105 584.9838256835938 580.172119140625 None None None +14 1958 0.2280273288488388 584.9944458007812 580.18310546875 None None None +14 1959 0.22800606489181519 584.9825439453125 580.171630859375 None None None +14 1960 0.22801335155963898 584.9724731445312 580.1614379882812 None None None +14 1961 0.22801047563552856 584.927734375 580.11669921875 None None None +14 1962 0.2279822826385498 584.9342651367188 580.1238403320312 None None None +14 1963 0.22796978056430817 584.98974609375 580.1796264648438 None None None +14 1964 0.227953240275383 585.0201416015625 580.2103271484375 None None None +14 1965 0.22792619466781616 585.0196533203125 580.2105102539062 None None None +14 1966 0.22790378332138062 585.016357421875 580.2076416015625 None None None +14 1967 0.22792954742908478 585.0321044921875 580.2228393554688 None None None +14 1968 0.22796763479709625 585.0488891601562 580.2388305664062 None None None +14 1969 0.22798596322536469 585.0821533203125 580.2716674804688 None None None +14 1970 0.2279808521270752 585.0791625976562 580.268798828125 None None None +14 1971 0.22795943915843964 585.0607299804688 580.2507934570312 None None None +14 1972 0.2279510647058487 585.0767822265625 580.2670288085938 None None None +14 1973 0.22795966267585754 585.0404663085938 580.2305297851562 None None None +14 1974 0.22796395421028137 585.0604858398438 580.25048828125 None None None +14 1975 0.2279624491930008 585.0699462890625 580.260009765625 None None None +14 1976 0.22796806693077087 585.0271606445312 580.2171020507812 None None None +14 1977 0.22798199951648712 585.033935546875 580.2235107421875 None None None +14 1978 0.22799378633499146 584.9986572265625 580.1879272460938 None None None +14 1979 0.22798098623752594 585.0257568359375 580.21533203125 None None None +14 1980 0.227948397397995 585.0341186523438 580.224365234375 None None None +14 1981 0.22798021137714386 585.0496215820312 580.2391967773438 None None None +14 1982 0.22803767025470734 585.0593872070312 580.247802734375 None None None +14 1983 0.2279898077249527 585.0596313476562 580.2490844726562 None None None +14 1984 0.22799183428287506 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0.21456630527973175 581.697265625 577.1694946289062 None None None +16 1896 0.2145245522260666 581.7039184570312 577.1770629882812 None None None +16 1897 0.21451488137245178 581.6847534179688 577.1580810546875 None None None +16 1898 0.21452344954013824 581.6487426757812 577.1218872070312 None None None +16 1899 0.21453545987606049 581.6452026367188 577.1180419921875 None None None +16 1900 0.21451258659362793 581.6484375 577.1217041015625 None None None +16 1901 0.21456113457679749 581.6691284179688 577.141357421875 None None None +16 1902 0.21454039216041565 581.687744140625 577.160400390625 None None None +16 1903 0.21457691490650177 581.6964111328125 577.1683349609375 None None None +16 1904 0.21460042893886566 581.6884765625 577.1598510742188 None None None +16 1905 0.2146456241607666 581.6935424804688 577.1639404296875 None None None +16 1906 0.21464255452156067 581.7119140625 577.1824340820312 None None None +16 1907 0.21464934945106506 581.7031860351562 577.1735229492188 None 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0.1885800063610077 573.910400390625 569.931396484375 None None None +19 1854 0.1885623335838318 573.8800048828125 569.9014282226562 None None None +19 1855 0.1885593682527542 573.8487548828125 569.8702392578125 None None None +19 1856 0.18858495354652405 573.8536376953125 569.8745727539062 None None None +19 1857 0.18855585157871246 573.8711547851562 569.8927001953125 None None None +19 1858 0.1885961890220642 573.8738403320312 569.8945922851562 None None None +19 1859 0.1886080801486969 573.8665771484375 569.8870239257812 None None None +19 1860 0.18862049281597137 573.81787109375 569.8380737304688 None None None +19 1861 0.1886165291070938 573.8222045898438 569.842529296875 None None None +19 1862 0.18865841627120972 573.8327026367188 569.8521118164062 None None None +19 1863 0.188663050532341 573.8123168945312 569.8316650390625 None None None +19 1864 0.18865342438220978 573.786376953125 569.8059692382812 None None None +19 1865 0.1886492222547531 573.7885131835938 569.80810546875 None None None +19 1866 0.18866221606731415 573.7939453125 569.813232421875 None None None +19 1867 0.18863388895988464 573.79296875 569.8128662109375 None None None +19 1868 0.18860501050949097 573.786865234375 569.807373046875 None None None +19 1869 0.1885841339826584 573.8021240234375 569.8231201171875 None None None +19 1870 0.18862028419971466 573.7966918945312 569.8169555664062 None None None +19 1871 0.18864160776138306 573.8228149414062 569.8425903320312 None None None +19 1872 0.18871189653873444 573.81396484375 569.832275390625 None None None +19 1873 0.18869784474372864 573.8705444335938 569.88916015625 None None None +19 1874 0.1887451857328415 573.8224487304688 569.8399658203125 None None None +19 1875 0.18872201442718506 573.8473510742188 569.8654174804688 None None None +19 1876 0.18871839344501495 573.8261108398438 569.8442993164062 None None None +19 1877 0.18869535624980927 573.8556518554688 569.8743286132812 None None None +19 1878 0.18869133293628693 573.8741455078125 569.8928833007812 None None None +19 1879 0.18868756294250488 573.9176635742188 569.9364624023438 None None None +19 1880 0.1886768639087677 573.9115600585938 569.9305419921875 None None None +19 1881 0.18870769441127777 573.877685546875 569.8960571289062 None None None +19 1882 0.18870232999324799 573.9169311523438 569.9354248046875 None None None +19 1883 0.1887044906616211 573.914306640625 569.9327392578125 None None None +19 1884 0.18874157965183258 573.9417724609375 569.9594116210938 None None None +19 1885 0.18873703479766846 573.9287719726562 569.9464721679688 None None None +19 1886 0.18874941766262054 573.9244995117188 569.9419555664062 None None None +19 1887 0.18873822689056396 573.9598999023438 569.9776000976562 None None None +19 1888 0.1887085735797882 573.9730224609375 569.9913940429688 None None None +19 1889 0.18871644139289856 574.00537109375 570.0236206054688 None None None +19 1890 0.188742533326149 574.0175170898438 570.0352172851562 None None None +19 1891 0.1887296736240387 574.0763549804688 570.0942993164062 None None None +19 1892 0.1887713074684143 574.0471801757812 570.0642700195312 None None None +19 1893 0.18876397609710693 574.0240478515625 570.0413208007812 None None None +19 1894 0.18877455592155457 574.0234985351562 570.04052734375 None None None +19 1895 0.1887272149324417 574.022705078125 570.0406494140625 None None None +19 1896 0.18876612186431885 574.0439453125 570.0610961914062 None None None +19 1897 0.1887541264295578 574.0875244140625 570.1049194335938 None None None +19 1898 0.18873322010040283 574.0679931640625 570.0857543945312 None None None +19 1899 0.1887391209602356 574.0777587890625 570.095458984375 None None None +19 1900 0.18872521817684174 574.0877685546875 570.1058349609375 None None None +19 1901 0.18875901401042938 574.12353515625 570.140869140625 None None None +19 1902 0.18873196840286255 574.1093139648438 570.127197265625 None None None +19 1903 0.1887008547782898 574.110107421875 570.128662109375 None None None +19 1904 0.18876773118972778 574.0990600585938 570.1162109375 None None None +19 1905 0.18880106508731842 574.076171875 570.0927124023438 None None None +19 1906 0.18876980245113373 574.0878295898438 570.10498046875 None None None +19 1907 0.18875260651111603 574.083251953125 570.1007690429688 None None None +19 1908 0.18875814974308014 574.0599975585938 570.0774536132812 None None None +19 1909 0.1887374073266983 574.0859985351562 570.1038818359375 None None None +19 1910 0.18878400325775146 574.1092529296875 570.126220703125 None None None +19 1911 0.18899208307266235 574.1063842773438 570.1189575195312 None None None +19 1912 0.188975527882576 574.1246948242188 570.1375732421875 None None None +19 1913 0.18897143006324768 574.111328125 570.1243896484375 None None None +19 1914 0.18896633386611938 574.0994873046875 570.1126098632812 None None None +19 1915 0.18897196650505066 574.0723266601562 570.0853271484375 None None None +19 1916 0.18898408114910126 574.0447998046875 570.0575561523438 None None None +19 1917 0.1889864057302475 574.03515625 570.0479125976562 None None None +19 1918 0.1889699548482895 574.0030517578125 570.01611328125 None None None +19 1919 0.18897689878940582 574.0331420898438 570.0460815429688 None None None +19 1920 0.1890077292919159 574.0481567382812 570.0604248046875 None None None +19 1921 0.18904300034046173 574.0396728515625 570.05126953125 None None None +19 1922 0.18905648589134216 574.0462036132812 570.057373046875 None None None +19 1923 0.18909060955047607 574.0437622070312 570.0542602539062 None None None +19 1924 0.18908506631851196 574.0352172851562 570.0458374023438 None None None +19 1925 0.1890924721956253 574.052734375 570.063232421875 None None None +19 1926 0.18910297751426697 574.0383911132812 570.0486450195312 None None None +19 1927 0.18909119069576263 574.0536499023438 570.0641479492188 None None None +19 1928 0.18909431993961334 574.0957641601562 570.1061401367188 None None None +19 1929 0.18912233412265778 574.1077880859375 570.1175537109375 None None None +19 1930 0.1891086995601654 574.1254272460938 570.135498046875 None None None +19 1931 0.18908999860286713 574.1043701171875 570.1148071289062 None None None +19 1932 0.18905216455459595 574.1174926757812 570.1287231445312 None None None +19 1933 0.18904855847358704 574.118896484375 570.1301879882812 None None None +19 1934 0.18906033039093018 574.16748046875 570.178466796875 None None None +19 1935 0.18904317915439606 574.142578125 570.1539916992188 None None None +19 1936 0.18908309936523438 574.150146484375 570.1607055664062 None None None +19 1937 0.1890934556722641 574.14697265625 570.1572875976562 None None None +19 1938 0.18909022212028503 574.1432495117188 570.1536254882812 None None None +19 1939 0.18913954496383667 574.13330078125 570.1426391601562 None None None +19 1940 0.18912847340106964 574.1539916992188 570.16357421875 None None None +19 1941 0.18915165960788727 574.099853515625 570.1090087890625 None None None +19 1942 0.1891789585351944 574.1386108398438 570.147216796875 None None None +19 1943 0.18920433521270752 574.1282958984375 570.1362915039062 None None None +19 1944 0.18920789659023285 574.1347045898438 570.1426391601562 None None None +19 1945 0.1892237365245819 574.1007690429688 570.1083984375 None None None +19 1946 0.18927207589149475 574.0548706054688 570.0614624023438 None None None +19 1947 0.18928147852420807 574.01513671875 570.0215454101562 None None None +19 1948 0.1892983764410019 574.0635375976562 570.0695190429688 None None None +19 1949 0.189290851354599 574.0985717773438 570.104736328125 None None None +19 1950 0.1892756074666977 574.1513671875 570.1578369140625 None None None +19 1951 0.189264714717865 574.156494140625 570.1632690429688 None None None +19 1952 0.1892540454864502 574.1539916992188 570.1609497070312 None None None +19 1953 0.18923072516918182 574.1569213867188 570.1643676757812 None None None +19 1954 0.18922100961208344 574.1517333984375 570.1593627929688 None None None +19 1955 0.1892421692609787 574.1401977539062 570.1473999023438 None None None +19 1956 0.1892324537038803 574.1058349609375 570.1132202148438 None None None +19 1957 0.18925811350345612 574.1056518554688 570.1124877929688 None None None +19 1958 0.18923483788967133 574.1026611328125 570.1100463867188 None None None +19 1959 0.18925240635871887 574.0971069335938 570.1041259765625 None None None +19 1960 0.18923234939575195 574.076171875 570.0835571289062 None None None +19 1961 0.1892380267381668 574.0708618164062 570.0781860351562 None None None +19 1962 0.1892690658569336 574.0399780273438 570.0465698242188 None None None +19 1963 0.18928517401218414 574.0216064453125 570.02783203125 None None None +19 1964 0.1892523616552353 574.02490234375 570.0317993164062 None None None +19 1965 0.18925604224205017 573.9990844726562 570.0059204101562 None None None +19 1966 0.18926912546157837 574.0306396484375 570.0371704101562 None None None +19 1967 0.18924669921398163 574.0277709960938 570.0347290039062 None None None +19 1968 0.18923397362232208 574.0447387695312 570.052001953125 None None None +19 1969 0.18921718001365662 574.0341796875 570.0418090820312 None None None +19 1970 0.18922434747219086 574.0416259765625 570.0491333007812 None None None +19 1971 0.18927188217639923 574.040283203125 570.0467529296875 None None None +19 1972 0.18927156925201416 574.0026245117188 570.0090942382812 None None None +19 1973 0.18928134441375732 573.9922485351562 569.9984741210938 None None None +19 1974 0.1892794817686081 574.0214233398438 570.0277099609375 None None None +19 1975 0.1892685890197754 574.0015869140625 570.0081176757812 None None None +19 1976 0.18926426768302917 574.00439453125 570.0110473632812 None None None +19 1977 0.1892760545015335 573.9871826171875 569.9935913085938 None None None +19 1978 0.1892663836479187 573.9747924804688 569.9813842773438 None None None +19 1979 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None None None +19 1992 0.1892441213130951 574.0115356445312 570.0184326171875 None None None +19 1993 0.18923047184944153 574.007568359375 570.0147094726562 None None None +19 1994 0.18922294676303864 573.9862670898438 569.99365234375 None None None +19 1995 0.18923300504684448 574.0049438476562 570.0120849609375 None None None +19 1996 0.18922698497772217 574.0321044921875 570.039306640625 None None None +19 1997 0.1892235279083252 574.041259765625 570.0485229492188 None None None +19 1998 0.18921172618865967 574.0442504882812 570.0517578125 None None None +19 1999 0.18924550712108612 574.0601196289062 570.0669555664062 None None None +19 2000 0.18927040696144104 574.0625610351562 570.0689086914062 None None None +19 2001 0.18928277492523193 574.0503540039062 570.0564575195312 None None None +19 2002 0.18933114409446716 574.0551147460938 570.0602416992188 None None None +19 2003 0.18928703665733337 574.0625 570.0684814453125 None None None +19 2004 0.18928180634975433 574.0641479492188 570.0702514648438 None None None +19 2005 0.18924129009246826 574.0664672851562 570.073486328125 None None None +19 2006 0.18928326666355133 574.06591796875 570.072021484375 None None None +19 2007 0.18927310407161713 574.0385131835938 570.0447998046875 None None None +19 2008 0.18928587436676025 574.0571899414062 570.0632934570312 None None None +19 2009 0.1892777383327484 574.0527954101562 570.0590209960938 None None None +19 2010 0.18926329910755157 574.0496215820312 570.0562133789062 None None None +19 2011 0.18923303484916687 574.0436401367188 570.0508422851562 None None None +19 2012 0.18934224545955658 574.06689453125 570.07177734375 None None None +19 2013 0.18933741748332977 574.0894165039062 570.0943603515625 None None None +19 2014 0.18932320177555084 574.0811157226562 570.0863647460938 None None None +19 2015 0.18930834531784058 574.0714111328125 570.0769653320312 None None None +19 2016 0.18931423127651215 574.0758666992188 570.081298828125 None None None 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None None None +19 2522 0.189294695854187 573.5335083007812 569.539306640625 None None None +19 2523 0.18927329778671265 573.5242919921875 569.5306396484375 None None None +19 2524 0.1892576366662979 573.5032958984375 569.5099487304688 None None None +19 2525 0.1892448216676712 573.49560546875 569.5025024414062 None None None +19 2526 0.18923895061016083 573.4810180664062 569.4880981445312 None None None +19 2527 0.18922588229179382 573.4727783203125 569.4801025390625 None None None +19 2528 0.18923123180866241 573.4713134765625 569.478515625 None None None +19 2529 0.18924154341220856 573.4358520507812 569.4427490234375 None None None +19 2530 0.18924018740653992 573.466064453125 569.4730834960938 None None None +19 2531 0.18923333287239075 573.470703125 569.4778442382812 None None None +19 2532 0.18924269080162048 573.4558715820312 569.4628295898438 None None None +19 2533 0.1892358362674713 573.42138671875 569.428466796875 None None None +19 2534 0.1892428696155548 573.4127197265625 569.419677734375 None None None +19 2535 0.18925538659095764 573.427978515625 569.4346923828125 None None None +19 2536 0.18923205137252808 573.4234008789062 569.4305419921875 None None None +19 2537 0.1892346292734146 573.3889770507812 569.3961181640625 None None None +19 2538 0.18920359015464783 573.4056396484375 569.4133911132812 None None None +19 2539 0.1891908049583435 573.4043579101562 569.412353515625 None None None +19 2540 0.18918295204639435 573.3887939453125 569.3969116210938 None None None diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.bias_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..1554b9d1d8d54a0dd30fdee02a7fce854ca08c80 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 02:21:55.091719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:57.345263: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:57.348609: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 02:21:57.946492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c3:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:57.946558: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:57.964264: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:57.964323: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:57.973545: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:57.977948: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:57.993160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:57.997270: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:57.998154: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.009785: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.010065: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 02:21:58.011067: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:58.019671: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c3:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:58.019719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:58.019767: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:58.019792: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:58.019812: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:58.019848: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:58.019869: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:58.019887: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:58.019906: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.068164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.070475: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:01.277370: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 02:22:01.277485: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 02:22:01.277498: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 02:22:01.284117: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c3:00.0, compute capability: 8.0) +2023-07-15 02:22:02.509319: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.bias_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a09bc98fde3a2f8b8e950af52a8f72245e6a410 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/new_model_formats/bias_model_scaled diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet.params.json b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..3992b546aca3ec7acc0e52c9408f7b1926404af7 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "21.1", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_data_params.tsv b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..df5474cf07756c57ea96cbbc54213b2d9c0f2a47 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 17.0 +counts_sum_max_thresh 2777.0 +trainings_pts_post_thresh 176916 diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..caa723f1ec7f535853a0c4c2c15ee531d71c9c0c --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 01:18:00.101848: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.289913: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.295895: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 01:18:03.330976: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:82:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.331102: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.361234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.361400: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.375735: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.382171: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.405102: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.410864: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.412091: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.413872: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.414248: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 01:18:03.415121: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.415390: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:82:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.415437: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.415472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.415503: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.415534: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.415564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.415595: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.415625: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.415655: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.416169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.417625: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:05.274609: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 01:18:05.274726: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 01:18:05.274750: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 01:18:05.277752: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:82:00.0, compute capability: 6.0) +2023-07-15 01:18:07.786981: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e06111d5501cee59b5cd6d01263bdbeb229470d --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/new_model_formats/chrombpnet diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_model_params.tsv b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..35df85096eb6eb35369ab01ee39457a22e6d7dbb --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 21.1 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_2.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8ac5774b92bc8b33e2e919f527d47758d9ed1d6 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/new_model_formats/chrombpnet_wo_bias diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8ac5774b92bc8b33e2e919f527d47758d9ed1d6 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2/new_model_formats/chrombpnet_wo_bias diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.epoch_loss.csv b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..883de1602934ca0baaf34048886296d7829f6084 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.epoch_loss.csv @@ -0,0 +1,21 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.8632893562316895,656.9174194335938,696.2322387695312,0.5476858019828796,655.8688354492188,667.4249267578125 +1,0.44193243980407715,625.704345703125,635.0281982421875,0.40639159083366394,641.7910766601562,650.3660278320312 +2,0.4006044864654541,616.6927490234375,625.1453857421875,0.37326276302337646,636.5748291015625,644.45068359375 +3,0.3764972984790802,612.1043701171875,620.048828125,0.4081958830356598,628.255126953125,636.8678588867188 +4,0.35453298687934875,608.3413696289062,615.8221435546875,0.3320222496986389,635.0567016601562,642.06201171875 +5,0.3371948003768921,604.3304443359375,611.4450073242188,0.32239267230033875,631.2618408203125,638.0648803710938 +6,0.3243791162967682,601.6350708007812,608.4788208007812,0.3384242355823517,629.3739013671875,636.5145263671875 +7,0.31297850608825684,599.7315673828125,606.3370361328125,0.30195873975753784,626.3759765625,632.7477416992188 +8,0.30206432938575745,597.7957763671875,604.1688232421875,0.32251498103141785,628.9943237304688,635.7996826171875 +9,0.2974341809749603,596.1603393554688,602.4351196289062,0.34245848655700684,628.3496704101562,635.575439453125 +10,0.28830450773239136,594.496337890625,600.5800170898438,0.2896873354911804,628.4268188476562,634.5394897460938 +11,0.25772830843925476,588.1664428710938,593.6033935546875,0.29003509879112244,627.1024780273438,633.2219848632812 +12,0.24501371383666992,584.9821166992188,590.1520385742188,0.2873177230358124,626.3903198242188,632.45263671875 +13,0.23813718557357788,582.2294921875,587.2537841796875,0.29844436049461365,626.83447265625,633.1320190429688 +14,0.22732363641262054,580.5950317382812,585.391357421875,0.29961326718330383,625.33642578125,631.6588134765625 +15,0.2210831344127655,578.8343505859375,583.4992065429688,0.30114829540252686,630.459228515625,636.8130493164062 +16,0.21407075226306915,577.6771850585938,582.1942138671875,0.29036691784858704,629.5193481445312,635.6461791992188 +17,0.2105671763420105,575.4404296875,579.8838500976562,0.29301831126213074,628.2833862304688,634.4657592773438 +18,0.19408780336380005,571.4921875,575.587646484375,0.29269155859947205,631.6152954101562,637.7908325195312 +19,0.18918295204639435,569.3969116210938,573.3887939453125,0.29892387986183167,630.89794921875,637.2046508789062 diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stderr.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..39547e2a5849f664707d9755f411f38bb11685b8 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stderr.txt @@ -0,0 +1,332 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2022-10-12 22:27:11.012716: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:00.160308: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:36:00.165666: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:36:00.194174: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-12 22:36:00.194297: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:00.224854: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:36:00.225040: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:36:00.240822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:36:00.248152: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:36:00.275678: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:36:00.282808: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:36:00.284517: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:00.286914: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:36:00.287365: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:36:00.288545: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:36:00.288976: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-12 22:36:00.289021: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:00.289057: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:36:00.289085: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:36:00.289113: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:36:00.289141: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:36:00.289170: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:36:00.289206: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:36:00.289236: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:00.290004: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:36:00.291864: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:02.439001: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:36:02.439125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:36:02.439148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:36:02.443705: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21298 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:04:00.0, compute capability: 6.1) +2022-10-12 22:36:04.890855: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:36:04.910052: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399820000 Hz +2022-10-12 22:36:05.186209: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:36:06.408948: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:36:06.419798: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:37:44.867867: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:37:47.363385: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:37:47.364689: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:37:47.389306: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-12 22:37:47.389402: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:37:47.393001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:37:47.393121: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:37:47.394735: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:37:47.395174: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:37:47.398787: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:37:47.399694: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:37:47.400081: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:37:47.400681: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:37:47.401080: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:37:47.401204: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:37:47.401540: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-12 22:37:47.401576: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:37:47.401610: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:37:47.401641: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:37:47.401671: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:37:47.401701: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:37:47.401730: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:37:47.401760: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:37:47.401790: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:37:47.402222: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:37:47.402267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:37:47.976260: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:37:47.976359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:37:47.976381: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:37:47.977327: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21298 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:04:00.0, compute capability: 6.1) +2022-10-12 22:46:27.928595: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:46:27.929162: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399820000 Hz +2022-10-12 22:46:30.183754: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:46:30.408659: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:46:30.429729: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.4160s vs `on_train_batch_end` time: 0.4834s). Check your callbacks. +2022-10-13 13:34:01.529395: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:34:05.288134: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:34:05.289533: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 13:34:05.316231: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:34:05.316355: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:34:05.320160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:34:05.320268: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:34:05.321925: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:34:05.322341: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:34:05.326155: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:34:05.327117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:34:05.327582: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:34:05.328224: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:34:05.328629: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 13:34:05.328736: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:34:05.329044: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:34:05.329085: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:34:05.329126: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:34:05.329163: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:34:05.329208: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:34:05.329244: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:34:05.329281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:34:05.329316: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:34:05.329352: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:34:05.329813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:34:05.329863: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:34:05.923739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 13:34:05.923838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 13:34:05.923861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 13:34:05.924789: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21298 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:04:00.0, compute capability: 6.1) +2022-10-13 13:36:06.345998: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 13:36:06.350854: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399820000 Hz +2022-10-13 13:36:06.482170: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:36:06.696308: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:36:06.698551: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 13:44:21.815881: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:44:25.268748: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:44:25.270037: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 13:44:25.296377: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:44:25.296472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:44:25.300208: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:44:25.300285: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:44:25.301880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:44:25.302274: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:44:25.305836: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:44:25.306721: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:44:25.307151: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:44:25.309140: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:44:25.309571: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 13:44:25.309674: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:44:25.310107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:44:25.310144: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:44:25.310188: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:44:25.310224: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:44:25.310258: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:44:25.310291: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:44:25.310323: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:44:25.310356: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:44:25.310388: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:44:25.311106: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:44:25.311154: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:44:25.901465: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 13:44:25.901588: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 13:44:25.901611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 13:44:25.902538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21298 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:04:00.0, compute capability: 6.1) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 13:46:11.513469: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 13:46:11.516641: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399820000 Hz +2022-10-13 13:46:11.598589: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:46:11.800341: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:46:11.801914: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 13:53:47.449833: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:53:50.961314: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:53:50.962647: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 13:53:50.989077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:53:50.989177: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:53:50.992870: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:53:50.992954: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:53:50.994546: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:53:50.994934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:53:50.998528: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:53:50.999426: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:53:50.999862: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:53:51.000713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:53:51.001131: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 13:53:51.001238: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:53:51.001650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:53:51.001686: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:53:51.001719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:53:51.001773: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:53:51.001804: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:53:51.001834: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:53:51.001863: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:53:51.001893: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:53:51.001922: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:53:51.002641: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:53:51.002686: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:53:51.592501: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 13:53:51.592600: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 13:53:51.592622: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 13:53:51.593565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21298 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:04:00.0, compute capability: 6.1) +2022-10-13 13:55:41.349300: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 13:55:41.351645: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399820000 Hz +2022-10-13 13:55:41.405880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:55:41.621722: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:55:41.623218: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 13:57:36.843191: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:57:38.651067: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:57:38.652458: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 13:57:38.677480: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:57:38.677600: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:57:38.681301: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:57:38.681377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:57:38.683009: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:57:38.683404: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:57:38.687028: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:57:38.687916: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:57:38.688359: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:57:38.688963: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:57:38.689344: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 13:57:38.689442: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 13:57:38.689745: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 13:57:38.689793: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:57:38.689824: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:57:38.689852: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:57:38.689881: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 13:57:38.689910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 13:57:38.689938: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 13:57:38.689966: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 13:57:38.689994: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 13:57:38.690464: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 13:57:38.690516: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 13:57:39.283394: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 13:57:39.283496: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 13:57:39.283518: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 13:57:39.284440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21298 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:04:00.0, compute capability: 6.1) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 13:58:00.527311: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 13:58:00.527977: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399820000 Hz +2022-10-13 13:58:00.831671: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 13:58:01.093481: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 13:58:01.095421: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_2//footprints’: File exists +2022-10-13 14:04:55.874406: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 14:04:57.649941: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 14:04:57.651284: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 14:04:57.676205: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 14:04:57.676325: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 14:04:57.679998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 14:04:57.680077: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 14:04:57.681718: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 14:04:57.682117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 14:04:57.685745: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 14:04:57.686636: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 14:04:57.687079: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 14:04:57.687689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 14:04:57.688079: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 14:04:57.688183: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 14:04:57.688509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P40 computeCapability: 6.1 +coreClock: 1.531GHz coreCount: 30 deviceMemorySize: 22.38GiB deviceMemoryBandwidth: 323.21GiB/s +2022-10-13 14:04:57.688552: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 14:04:57.688583: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 14:04:57.688611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 14:04:57.688638: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 14:04:57.688666: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 14:04:57.688706: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 14:04:57.688733: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 14:04:57.688774: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 14:04:57.689226: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 14:04:57.689281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 14:04:58.278597: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 14:04:58.278709: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 14:04:58.278731: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 14:04:58.279672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21298 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:04:00.0, compute capability: 6.1) +2022-10-13 14:05:19.211417: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 14:05:19.212090: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2399820000 Hz +2022-10-13 14:05:19.421250: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 14:05:19.690512: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 14:05:19.692295: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stdout.txt b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..12fd648e7243211bce1dc4f87f4dfabc5ee98653 --- /dev/null +++ b/fold_2/logs.models.fold_2.ENCSR417LPB/logfile.modelling.fold_2.ENCSR417LPB.stdout.txt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc48df5c7fca75bc659d03c53d6587410a3dda6321bf5f2738e5f8889a2c2264 +size 15710842 diff --git 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/dev/null +++ b/fold_2/model.chrombpnet_nobias.fold_2.ENCSR417LPB.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a62318ad2201cc223191977c47096ecbf0e3cd40323741ff4b3fadf25ce27b6b +size 26081280 diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.args.json b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.args.json new file mode 100644 index 0000000000000000000000000000000000000000..250d42f3b23f9ae6834fe9180e9519051af58a4e --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.batch_loss.tsv b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..348e6391cdc6c8b864984602ced18dedf51725df --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.batch_loss.tsv @@ -0,0 +1,41447 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 2.441218376159668 745.2100219726562 693.4561767578125 None None None +0 1 228.0183868408203 5521.0224609375 687.0325927734375 None None None +0 2 152.7757110595703 3920.5927734375 681.7476196289062 None None None +0 3 115.22247314453125 3122.265869140625 679.5493774414062 None None None +0 4 92.69171142578125 2646.22607421875 681.161865234375 None None None +0 5 77.65359497070312 2328.245361328125 681.9890747070312 None None None +0 6 66.93562316894531 2105.52197265625 686.4868774414062 None None None +0 7 58.97404479980469 1952.55322265625 702.3035888671875 None None None +0 8 52.63578796386719 1806.435791015625 690.5571899414062 None None None +0 9 47.638206481933594 1700.4371337890625 690.5070190429688 None None None +0 10 43.62009048461914 1630.505859375 705.7598876953125 None None None +0 11 40.205142974853516 1559.9764404296875 707.6272583007812 None None None +0 12 37.385215759277344 1513.63037109375 721.063720703125 None None None +0 13 34.890201568603516 1457.7420654296875 718.0696411132812 None None None +0 14 32.740848541259766 1412.5018310546875 718.3956909179688 None None None +0 15 30.860462188720703 1372.1951904296875 717.9532470703125 None None None +0 16 29.257221221923828 1347.65966796875 727.4063720703125 None None 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1.975865125656128 705.0375366210938 663.1488037109375 None None None +0 1919 1.9750573635101318 704.9872436523438 663.1156616210938 None None None +0 1920 1.97431480884552 704.9378051757812 663.08203125 None None None +0 1921 1.9735339879989624 704.9133911132812 663.0741577148438 None None None +0 1922 1.9727448225021362 704.8956298828125 663.0731811523438 None None None +0 1923 1.9718838930130005 704.8363647460938 663.0321044921875 None None None +0 1924 1.9711337089538574 704.7855224609375 662.9971313476562 None None None +0 1925 1.9704549312591553 704.7467041015625 662.9727172851562 None None None +0 1926 1.9696357250213623 704.7144165039062 662.957763671875 None None None +0 1927 1.9689093828201294 704.6983032226562 662.9569702148438 None None None +0 1928 1.968077540397644 704.63818359375 662.91455078125 None None None +0 1929 1.9672832489013672 704.5829467773438 662.8760986328125 None None None +0 1930 1.96657133102417 704.5517578125 662.8599853515625 None None None +0 1931 1.9658937454223633 704.5399780273438 662.8626708984375 None None None +0 1932 1.9651069641113281 704.5062255859375 662.8455200195312 None None None +0 1933 1.9644317626953125 704.5523681640625 662.9060668945312 None None None +0 1934 1.9637222290039062 704.5534057617188 662.922119140625 None None None +0 1935 1.9629582166671753 704.499755859375 662.8846435546875 None None None +0 1936 1.962263584136963 704.4918212890625 662.8914184570312 None None None +0 1937 1.961567997932434 704.4926147460938 662.906982421875 None None None +0 1938 1.9607616662979126 704.4727172851562 662.9041137695312 None None None +0 1939 1.9599953889846802 704.4439086914062 662.8916015625 None None None +0 1940 1.9592506885528564 704.419189453125 662.8826904296875 None None None +0 1941 1.9585565328598022 704.4194946289062 662.8977661132812 None None None +0 1942 1.9578059911727905 704.4044189453125 662.8985595703125 None None None +0 1943 1.9570190906524658 704.3543701171875 662.8651733398438 None None None +0 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1.946307897567749 703.8079833984375 662.5457153320312 None None None +0 1958 1.9454904794692993 703.7610473632812 662.5161743164062 None None None +0 1959 1.9447214603424072 703.766357421875 662.5377807617188 None None None +0 1960 1.9439879655838013 703.7582397460938 662.5452270507812 None None None +0 1961 1.9432874917984009 703.7388305664062 662.5405883789062 None None None +0 1962 1.942559838294983 703.7257080078125 662.5428466796875 None None None +0 1963 1.9417932033538818 703.7488403320312 662.5822143554688 None None None +0 1964 1.9410558938980103 703.7372436523438 662.5862426757812 None None None +0 1965 1.9404131174087524 703.6716918945312 662.5343017578125 None None None +0 1966 1.939629077911377 703.6038818359375 662.4830932617188 None None None +0 1967 1.9389135837554932 703.57861328125 662.4730224609375 None None None +0 1968 1.938111424446106 703.5121459960938 662.4235229492188 None None None +0 1969 1.9373650550842285 703.5004272460938 662.4276123046875 None None None 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1.9177800416946411 702.8318481445312 662.1742553710938 None None None +0 1997 1.9170944690704346 702.8028564453125 662.1597900390625 None None None +0 1998 1.9162821769714355 702.7761840820312 662.1503295898438 None None None +0 1999 1.9155384302139282 702.7769165039062 662.1668090820312 None None None +0 2000 1.9149150848388672 702.783935546875 662.18701171875 None None None +0 2001 1.9143072366714478 702.786865234375 662.2028198242188 None None None +0 2002 1.9136238098144531 702.7348022460938 662.1651611328125 None None None +0 2003 1.9130167961120605 702.7565307617188 662.1998291015625 None None None +0 2004 1.9122902154922485 702.7553100585938 662.2139892578125 None None None +0 2005 1.9117188453674316 702.7404174804688 662.211181640625 None None None +0 2006 1.9109728336334229 702.725830078125 662.2124633789062 None None None +0 2007 1.9103420972824097 702.73974609375 662.23974609375 None None None +0 2008 1.9096379280090332 702.7573852539062 662.2723388671875 None None None +0 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0.4049392342567444 629.2591552734375 620.674072265625 None None None +2 1960 0.4049685597419739 629.2008666992188 620.6151733398438 None None None +2 1961 0.4049401581287384 629.2198486328125 620.634765625 None None None +2 1962 0.4049723148345947 629.253173828125 620.6673583984375 None None None +2 1963 0.4050149917602539 629.2861938476562 620.699462890625 None None None +2 1964 0.40499770641326904 629.321533203125 620.7352294921875 None None None +2 1965 0.4050059914588928 629.3124389648438 620.7259521484375 None None None +2 1966 0.4049636423587799 629.2676391601562 620.6820068359375 None None None +2 1967 0.4049648940563202 629.2457275390625 620.6600341796875 None None None +2 1968 0.4050215780735016 629.2334594726562 620.6466674804688 None None None +2 1969 0.4051460325717926 629.2412719726562 620.65185546875 None None None +2 1970 0.4051820635795593 629.2513427734375 620.6611328125 None None None +2 1971 0.4051462709903717 629.205322265625 620.6158447265625 None None None +2 1972 0.40510138869285583 629.257080078125 620.6685791015625 None None None +2 1973 0.4050787687301636 629.2542114257812 620.6661987304688 None None None +2 1974 0.4050903022289276 629.2926635742188 620.7044067382812 None None None +2 1975 0.40500205755233765 629.2753295898438 620.68896484375 None None None +2 1976 0.40513041615486145 629.3060913085938 620.7169799804688 None None None +2 1977 0.4050719738006592 629.2986450195312 620.7107543945312 None None None +2 1978 0.40505725145339966 629.292236328125 620.7047119140625 None None None +2 1979 0.4050214886665344 629.3074951171875 620.720703125 None None None +2 1980 0.40501469373703003 629.2806396484375 620.6940307617188 None None None +2 1981 0.4049193859100342 629.2830810546875 620.698486328125 None None None +2 1982 0.40490683913230896 629.2485961914062 620.6642456054688 None None None +2 1983 0.4048539102077484 629.2946166992188 620.71142578125 None None None +2 1984 0.40481775999069214 629.2979125976562 620.7155151367188 None None None +2 1985 0.404738187789917 629.2887573242188 620.7080688476562 None None None +2 1986 0.40467944741249084 629.2659301757812 620.6865234375 None None None +2 1987 0.40465036034584045 629.2584838867188 620.6796264648438 None None None +2 1988 0.40461310744285583 629.2451171875 620.6671142578125 None None None +2 1989 0.4045974314212799 629.2431030273438 620.6654663085938 None None None +2 1990 0.404606431722641 629.2465209960938 620.668701171875 None None None +2 1991 0.40467002987861633 629.2297973632812 620.650634765625 None None None +2 1992 0.4045647084712982 629.2445678710938 620.6676635742188 None None None +2 1993 0.40456199645996094 629.2108764648438 620.634033203125 None None None +2 1994 0.40453383326530457 629.1939697265625 620.6177368164062 None None None +2 1995 0.4044919013977051 629.1469116210938 620.5714721679688 None None None +2 1996 0.40446579456329346 629.154541015625 620.5796508789062 None None None +2 1997 0.4044681191444397 629.1283569335938 620.5534057617188 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None +3 1952 0.3766993582248688 623.469482421875 615.4840698242188 None None None +3 1953 0.3767103850841522 623.4578247070312 615.47216796875 None None None +3 1954 0.37671780586242676 623.4349975585938 615.4491577148438 None None None +3 1955 0.37667715549468994 623.4013671875 615.4163818359375 None None None +3 1956 0.3766651749610901 623.4203491210938 615.4356079101562 None None None +3 1957 0.37670737504959106 623.3894653320312 615.4039306640625 None None None +3 1958 0.3767009675502777 623.3817749023438 615.3963623046875 None None None +3 1959 0.37669745087623596 623.36328125 615.3779907226562 None None None +3 1960 0.37668389081954956 623.3758544921875 615.3908081054688 None None None +3 1961 0.37669676542282104 623.382568359375 615.397216796875 None None None +3 1962 0.3767499625682831 623.4097900390625 615.4232788085938 None None None +3 1963 0.37672922015190125 623.392578125 615.406494140625 None None None +3 1964 0.37671026587486267 623.3885498046875 615.4028930664062 None 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None None None +3 1978 0.37700313329696655 623.4364624023438 615.4445190429688 None None None +3 1979 0.37696248292922974 623.4324340820312 615.4413452148438 None None None +3 1980 0.37695983052253723 623.4241333007812 615.43310546875 None None None +3 1981 0.3769698441028595 623.4410400390625 615.44970703125 None None None +3 1982 0.37697646021842957 623.4190063476562 615.4275512695312 None None None +3 1983 0.37693339586257935 623.43359375 615.443115234375 None None None +3 1984 0.37697017192840576 623.4343872070312 615.4430541992188 None None None +3 1985 0.3769858777523041 623.4234619140625 615.4318237304688 None None None +3 1986 0.3769657015800476 623.4437255859375 615.4525146484375 None None None +3 1987 0.3769584894180298 623.505126953125 615.51416015625 None None None +3 1988 0.37691619992256165 623.4884643554688 615.4983520507812 None None None +3 1989 0.37690573930740356 623.506103515625 615.5162963867188 None None None +3 1990 0.3769194483757019 623.493896484375 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0.37673890590667725 623.6321411132812 615.645751953125 None None None +3 2017 0.37670379877090454 623.6054077148438 615.6198120117188 None None None +3 2018 0.37667596340179443 623.620361328125 615.6353149414062 None None None +3 2019 0.3767980933189392 623.5657958984375 615.5781860351562 None None None +3 2020 0.3767908811569214 623.5934448242188 615.60595703125 None None None +3 2021 0.3768635094165802 623.6129150390625 615.6239013671875 None None None +3 2022 0.37691786885261536 623.59716796875 615.6069946289062 None None None +3 2023 0.3769126832485199 623.60546875 615.6154174804688 None None None +3 2024 0.376914381980896 623.6138916015625 615.623779296875 None None None +3 2025 0.37689027190208435 623.5792846679688 615.5896606445312 None None None +3 2026 0.3769272267818451 623.5659790039062 615.5756225585938 None None None +3 2027 0.37688615918159485 623.5436401367188 615.5541381835938 None None None +3 2028 0.3768474757671356 623.5530395507812 615.5643310546875 None None None 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615.8551025390625 608.647216796875 None None None +5 1810 0.3399253487586975 615.8501586914062 608.6435546875 None None None +5 1811 0.33994409441947937 615.8701782226562 608.6632080078125 None None None +5 1812 0.33992037177085876 615.861083984375 608.6546020507812 None None None +5 1813 0.3399074077606201 615.8759765625 608.6697387695312 None None None +5 1814 0.33990278840065 615.8966064453125 608.6904296875 None None None +5 1815 0.3398808240890503 615.9011840820312 608.6954956054688 None None None +5 1816 0.3398747444152832 615.9298095703125 608.7242431640625 None None None +5 1817 0.3398287892341614 615.9000854492188 608.6954345703125 None None None +5 1818 0.3398669362068176 615.9065551757812 608.701171875 None None None +5 1819 0.3398599624633789 615.8809204101562 608.6755981445312 None None None +5 1820 0.3397926390171051 615.8978271484375 608.6939086914062 None None None +5 1821 0.3397767245769501 615.8978881835938 608.6943969726562 None None None +5 1822 0.33980053663253784 615.92529296875 608.7213134765625 None None None +5 1823 0.33980441093444824 615.9459838867188 608.741943359375 None None None +5 1824 0.33976754546165466 615.9486083984375 608.745361328125 None None None +5 1825 0.33972519636154175 615.9749755859375 608.7726440429688 None None None +5 1826 0.33973437547683716 615.9359741210938 608.7333984375 None None None +5 1827 0.33967867493629456 615.9791259765625 608.7777099609375 None None None +5 1828 0.3396826684474945 615.977783203125 608.7763061523438 None None None +5 1829 0.33967360854148865 616.0418701171875 608.8406372070312 None None None +5 1830 0.3396383225917816 616.0086059570312 608.8081665039062 None None None +5 1831 0.33964693546295166 616.0179443359375 608.8172607421875 None None None +5 1832 0.3395799994468689 616.0407104492188 608.8414916992188 None None None +5 1833 0.33958202600479126 616.0462036132812 608.8469848632812 None None None +5 1834 0.33962100744247437 616.00830078125 608.8082275390625 None None None +5 1835 0.33958879113197327 616.015869140625 608.8164672851562 None None None +5 1836 0.33957144618034363 616.103271484375 608.9042358398438 None None None +5 1837 0.339582234621048 616.1370849609375 608.9378051757812 None None None +5 1838 0.3395833373069763 616.1030883789062 608.90380859375 None None None +5 1839 0.3396151661872864 616.0899047851562 608.889892578125 None None None +5 1840 0.3396005630493164 616.0588989257812 608.8591918945312 None None None +5 1841 0.3396284878253937 616.04833984375 608.8480224609375 None None None +5 1842 0.33965978026390076 616.0357666015625 608.8347778320312 None None None +5 1843 0.3396376371383667 616.0677490234375 608.8672485351562 None None None +5 1844 0.3395884931087494 616.0657348632812 608.8662719726562 None None None +5 1845 0.339558482170105 616.09326171875 608.8944702148438 None None None +5 1846 0.33951833844184875 616.126220703125 608.92822265625 None None None +5 1847 0.3394688069820404 616.1333618164062 608.9364624023438 None None None +5 1848 0.33950096368789673 616.0883178710938 608.8907470703125 None None None +5 1849 0.3394867777824402 616.1062622070312 608.9089965820312 None None None +5 1850 0.33945968747138977 616.1428833007812 608.9462280273438 None None None +5 1851 0.3395118713378906 616.077392578125 608.879638671875 None None None +5 1852 0.33949708938598633 616.1300659179688 608.9325561523438 None None None +5 1853 0.3395359218120575 616.1705932617188 608.9722900390625 None None None +5 1854 0.33953121304512024 616.151611328125 608.9534301757812 None None None +5 1855 0.33958110213279724 616.1447143554688 608.9454956054688 None None None +5 1856 0.339588463306427 616.1360473632812 608.9366455078125 None None None +5 1857 0.3395654559135437 616.1253051757812 608.9264526367188 None None None +5 1858 0.33951592445373535 616.1033935546875 608.9055786132812 None None None +5 1859 0.3394871950149536 616.1260375976562 608.9288940429688 None None None +5 1860 0.33947569131851196 616.0923461914062 608.8953857421875 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608.9315185546875 None None None +5 1887 0.3388059139251709 616.0656127929688 608.883056640625 None None None +5 1888 0.33883988857269287 616.0372924804688 608.8538818359375 None None None +5 1889 0.33879151940345764 616.0231323242188 608.8408203125 None None None +5 1890 0.3387434184551239 616.01123046875 608.8298950195312 None None None +5 1891 0.33871862292289734 615.9495849609375 608.768798828125 None None None +5 1892 0.33876654505729675 615.9386596679688 608.7568359375 None None None +5 1893 0.3387776017189026 615.9312133789062 608.7491455078125 None None None +5 1894 0.33878347277641296 615.9036254882812 608.721435546875 None None None +5 1895 0.33874398469924927 615.8983764648438 608.717041015625 None None None +5 1896 0.3387933373451233 615.8684692382812 608.6861572265625 None None None +5 1897 0.3387974798679352 615.8781127929688 608.6957397460938 None None None +5 1898 0.3388441205024719 615.889892578125 608.70654296875 None None None +5 1899 0.3388025164604187 615.8749389648438 608.6925048828125 None None None +5 1900 0.3387383818626404 615.84423828125 608.6631469726562 None None None +5 1901 0.33873894810676575 615.8865966796875 608.7055053710938 None None None +5 1902 0.33870747685432434 615.8579711914062 608.6776123046875 None None None +5 1903 0.33866971731185913 615.8388671875 608.6593627929688 None None None +5 1904 0.3386918306350708 615.9197387695312 608.7396850585938 None None None +5 1905 0.33875226974487305 615.9514770507812 608.7700805664062 None None None +5 1906 0.33881452679634094 616.0215454101562 608.8388671875 None None None +5 1907 0.3389049172401428 616.0530395507812 608.868408203125 None None None +5 1908 0.33888259530067444 616.03466796875 608.8505249023438 None None None +5 1909 0.33884915709495544 616.0482788085938 608.8648071289062 None None None +5 1910 0.3388326168060303 616.0396728515625 608.8565673828125 None None None +5 1911 0.33881938457489014 616.0380249023438 608.855224609375 None None None +5 1912 0.33875301480293274 616.0635375976562 608.8821411132812 None None None +5 1913 0.3387376666069031 616.06494140625 608.8839111328125 None None None +5 1914 0.3387221097946167 616.0308837890625 608.8502197265625 None None None +5 1915 0.3387157618999481 616.0324096679688 608.8518676757812 None None None +5 1916 0.33872947096824646 616.0563354492188 608.87548828125 None None None +5 1917 0.33874446153640747 616.0513305664062 608.8701171875 None None None +5 1918 0.33871325850486755 616.0392456054688 608.8587036132812 None None None +5 1919 0.33867594599723816 616.0128784179688 608.8331909179688 None None None +5 1920 0.338665246963501 615.9751586914062 608.795654296875 None None None +5 1921 0.3386855125427246 615.9830322265625 608.8031005859375 None None None +5 1922 0.3386896550655365 615.9758911132812 608.7958984375 None None None +5 1923 0.33866533637046814 615.9609375 608.7814331054688 None None None +5 1924 0.33864957094192505 615.997314453125 608.8181762695312 None None None +5 1925 0.33862215280532837 615.9965209960938 608.8179321289062 None None None +5 1926 0.33857282996177673 615.9843139648438 608.8067626953125 None None None +5 1927 0.33856701850891113 615.9967651367188 608.8193969726562 None None None +5 1928 0.33855074644088745 615.9935302734375 608.81640625 None None None +5 1929 0.3384893536567688 616.0025634765625 608.8267822265625 None None None +5 1930 0.33850839734077454 616.05126953125 608.8750610351562 None None None +5 1931 0.3385249674320221 616.0396118164062 608.863037109375 None None None +5 1932 0.33850374817848206 616.0473022460938 608.8711547851562 None None None +5 1933 0.33847832679748535 616.0657958984375 608.8901977539062 None None None +5 1934 0.33848023414611816 616.023681640625 608.8480224609375 None None None +5 1935 0.3385174572467804 616.0255737304688 608.84912109375 None None None +5 1936 0.33854159712791443 616.0237426757812 608.8468017578125 None None None +5 1937 0.33856403827667236 616.0132446289062 608.8358154296875 None None None +5 1938 0.3385488986968994 615.9627075195312 608.7855834960938 None None None +5 1939 0.3385796844959259 615.9434204101562 608.7655639648438 None None None +5 1940 0.3385907709598541 615.9278564453125 608.749755859375 None None None +5 1941 0.3385685086250305 615.9314575195312 608.75390625 None None None +5 1942 0.33858656883239746 615.98388671875 608.8059692382812 None None None +5 1943 0.3385789096355438 616.0265502929688 608.8487548828125 None None None +5 1944 0.33869877457618713 616.0494384765625 608.8690795898438 None None None +5 1945 0.3386766314506531 616.0421752929688 608.8623046875 None None None +5 1946 0.33864107728004456 616.0182495117188 608.839111328125 None None None +5 1947 0.3386874496936798 616.0404052734375 608.8602294921875 None None None +5 1948 0.3386949598789215 616.0260620117188 608.8457641601562 None None None +5 1949 0.33872148394584656 615.9666137695312 608.7857666015625 None None None +5 1950 0.3387123644351959 615.982177734375 608.801513671875 None None None +5 1951 0.33865880966186523 615.9398193359375 608.76025390625 None None None +5 1952 0.3386380076408386 615.9386596679688 608.759521484375 None None None +5 1953 0.3385777473449707 615.9982299804688 608.8203125 None None None +5 1954 0.3385864794254303 615.9765014648438 608.7984619140625 None None None +5 1955 0.33864277601242065 616.0001831054688 608.8208618164062 None None None +5 1956 0.338630348443985 615.9990844726562 608.8200073242188 None None None +5 1957 0.3386061191558838 616.0135498046875 608.8349609375 None None None +5 1958 0.338662713766098 616.010009765625 608.8302612304688 None None None +5 1959 0.33868715167045593 616.039794921875 608.8594970703125 None None None +5 1960 0.3387010395526886 616.0481567382812 608.8675537109375 None None None +5 1961 0.33871328830718994 616.1455078125 608.964599609375 None None None +5 1962 0.3386619985103607 616.1773681640625 608.99755859375 None None None +5 1963 0.33872196078300476 616.1773681640625 608.9963989257812 None None None +5 1964 0.33878615498542786 616.1795043945312 608.9971923828125 None None None +5 1965 0.33883965015411377 616.2389526367188 609.0555419921875 None None None +5 1966 0.3388746976852417 616.2802734375 609.0961303710938 None None None +5 1967 0.3389219045639038 616.3191528320312 609.134033203125 None None None +5 1968 0.3388758599758148 616.2869262695312 609.102783203125 None None None +5 1969 0.3388732671737671 616.3341674804688 609.1499633789062 None None None +5 1970 0.33896830677986145 616.356201171875 609.1699829101562 None None None +5 1971 0.33894118666648865 616.3169555664062 609.13134765625 None None None +5 1972 0.3388961851596832 616.3235473632812 609.138916015625 None None None +5 1973 0.3388414978981018 616.3338623046875 609.150390625 None None None +5 1974 0.33892908692359924 616.3394775390625 609.1541748046875 None None None +5 1975 0.33891457319259644 616.324951171875 609.139892578125 None None None +5 1976 0.3389049768447876 616.3084716796875 609.1236572265625 None None None +5 1977 0.338906466960907 616.2952270507812 609.1103515625 None None None +5 1978 0.33889293670654297 616.277099609375 609.092529296875 None None None +5 1979 0.3388771116733551 616.3211059570312 609.1367797851562 None None None +5 1980 0.33891576528549194 616.315673828125 609.1305541992188 None None None +5 1981 0.3388621211051941 616.3382568359375 609.1542358398438 None None None +5 1982 0.33887720108032227 616.3037719726562 609.1194458007812 None None None +5 1983 0.3388616144657135 616.3228759765625 609.138916015625 None None None +5 1984 0.3388480246067047 616.3302001953125 609.1465454101562 None None None +5 1985 0.3388487994670868 616.3076171875 609.1239013671875 None None None +5 1986 0.3388594090938568 616.318359375 609.1343383789062 None None None +5 1987 0.33883535861968994 616.3499145507812 609.1664428710938 None None None +5 1988 0.33884039521217346 616.3671875 609.18359375 None None None +5 1989 0.33884015679359436 616.3820190429688 609.1983642578125 None None None +5 1990 0.33886831998825073 616.39013671875 609.2059326171875 None None None +5 1991 0.3389095366001129 616.3617553710938 609.1766967773438 None None None +5 1992 0.3389417827129364 616.3665161132812 609.1807861328125 None None None +5 1993 0.33891502022743225 616.3271484375 609.1419067382812 None None None +5 1994 0.3388981223106384 616.27685546875 609.0919799804688 None None None +5 1995 0.3389098644256592 616.24755859375 609.0624389648438 None None None +5 1996 0.33889615535736084 616.2412719726562 609.056396484375 None None None +5 1997 0.33892250061035156 616.220703125 609.0352783203125 None None None +5 1998 0.3388715088367462 616.2066040039062 609.0222778320312 None None None +5 1999 0.3388442099094391 616.206787109375 609.0230102539062 None None None +5 2000 0.33882132172584534 616.2261962890625 609.0429077148438 None None None +5 2001 0.33879414200782776 616.2212524414062 609.0384521484375 None None None +5 2002 0.33885544538497925 616.1829223632812 608.9989013671875 None None None +5 2003 0.33885836601257324 616.2052612304688 609.021240234375 None None None +5 2004 0.33881402015686035 616.2061157226562 609.0230102539062 None None None +5 2005 0.33879587054252625 616.2210083007812 609.0382080078125 None None None +5 2006 0.3387752175331116 616.2252807617188 609.0429077148438 None None None +5 2007 0.33870774507522583 616.2183837890625 609.0374145507812 None None None +5 2008 0.3387064039707184 616.1972045898438 609.0162353515625 None None None +5 2009 0.3388840854167938 616.179931640625 608.9952392578125 None None None +5 2010 0.3390448987483978 616.1445922851562 608.9564819335938 None None None +5 2011 0.339032381772995 616.16162109375 608.9737548828125 None None None +5 2012 0.3390299677848816 616.1832885742188 608.9955444335938 None None None +5 2013 0.33905649185180664 616.16796875 608.9796142578125 None None None +5 2014 0.3390156924724579 616.1591796875 608.9716796875 None None None +5 2015 0.33896705508232117 616.1469116210938 608.9605102539062 None None None +5 2016 0.3389311134815216 616.1363525390625 608.9506225585938 None None None +5 2017 0.3389304578304291 616.1531982421875 608.967529296875 None None None +5 2018 0.3389114737510681 616.1231689453125 608.9379272460938 None None None +5 2019 0.3388866186141968 616.1396484375 608.9549560546875 None None None +5 2020 0.3388203978538513 616.1673583984375 608.9840087890625 None None None +5 2021 0.3388099670410156 616.1456298828125 608.9625854492188 None None None +5 2022 0.338855504989624 616.1595458984375 608.9755249023438 None None None +5 2023 0.33882763981819153 616.1710815429688 608.9876708984375 None None None +5 2024 0.33877813816070557 616.1685791015625 608.9862060546875 None None None +5 2025 0.3387242555618286 616.1716918945312 608.990478515625 None None None +5 2026 0.33874014019966125 616.1932983398438 609.01171875 None None None +5 2027 0.33880987763404846 616.20947265625 609.0264282226562 None None None +5 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0.31047341227531433 611.1483154296875 604.5662231445312 None None None +7 1922 0.3104976415634155 611.1402587890625 604.5576782226562 None None None +7 1923 0.3105398118495941 611.0979614257812 604.514404296875 None None None +7 1924 0.31050655245780945 611.0393676757812 604.45654296875 None None None +7 1925 0.3105810582637787 611.0372314453125 604.4528198242188 None None None +7 1926 0.3105491101741791 611.0468139648438 604.4630126953125 None None None +7 1927 0.3105214536190033 611.0518798828125 604.46875 None None None +7 1928 0.3105008602142334 611.0559692382812 604.4732055664062 None None None +7 1929 0.3104960322380066 611.0430908203125 604.46044921875 None None None +7 1930 0.31054800748825073 611.0634765625 604.479736328125 None None None +7 1931 0.31061577796936035 611.1032104492188 604.51806640625 None None None +7 1932 0.31058648228645325 611.1405639648438 604.5560302734375 None None None +7 1933 0.31061920523643494 611.1380615234375 604.5527954101562 None None None +7 1934 0.3106364905834198 611.1593017578125 604.57373046875 None None None +7 1935 0.31065937876701355 611.202880859375 604.6167602539062 None None None +7 1936 0.31069934368133545 611.1776733398438 604.5906982421875 None None None +7 1937 0.3106861114501953 611.1498413085938 604.5631713867188 None None None +7 1938 0.3107195198535919 611.1708984375 604.58349609375 None None None +7 1939 0.3106977343559265 611.1774291992188 604.5905151367188 None None None +7 1940 0.31072792410850525 611.1801147460938 604.5925903320312 None None None +7 1941 0.31071004271507263 611.176025390625 604.5888671875 None None None +7 1942 0.31071045994758606 611.1759643554688 604.5887451171875 None None None +7 1943 0.3106825053691864 611.1746215820312 604.5880737304688 None None None +7 1944 0.31065621972084045 611.12060546875 604.5346069335938 None None None +7 1945 0.3106403350830078 611.1487426757812 604.5630493164062 None None None +7 1946 0.31061404943466187 611.1409912109375 604.5557861328125 None None None 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610.8265380859375 604.242919921875 None None None +7 1986 0.31053030490875244 610.8426513671875 604.2593994140625 None None None +7 1987 0.3105400502681732 610.8547973632812 604.2714233398438 None None None +7 1988 0.31055477261543274 610.8400268554688 604.2562255859375 None None None +7 1989 0.3105306327342987 610.8179931640625 604.2347412109375 None None None +7 1990 0.3105352222919464 610.8035888671875 604.2202758789062 None None None +7 1991 0.31051456928253174 610.8474731445312 604.2645263671875 None None None +7 1992 0.3105212152004242 610.8544311523438 604.2713623046875 None None None +7 1993 0.3105334937572479 610.8215942382812 604.23828125 None None None +7 1994 0.3105059266090393 610.8532104492188 604.2705078125 None None None +7 1995 0.3104603588581085 610.8787231445312 604.2969970703125 None None None +7 1996 0.3104740381240845 610.8681640625 604.2861938476562 None None None +7 1997 0.3105238974094391 610.8375854492188 604.2545776367188 None None None +7 1998 0.31050965189933777 610.8204345703125 604.2377319335938 None None None +7 1999 0.3105109930038452 610.7918090820312 604.2091064453125 None None None +7 2000 0.3105079233646393 610.7509155273438 604.1682739257812 None None None +7 2001 0.31050968170166016 610.7539672851562 604.1712646484375 None None None +7 2002 0.31051334738731384 610.7001342773438 604.1173706054688 None None None +7 2003 0.31047293543815613 610.7017211914062 604.1198120117188 None None None +7 2004 0.31046777963638306 610.7183227539062 604.1365356445312 None None None +7 2005 0.31049251556396484 610.6943359375 604.1119995117188 None None None +7 2006 0.31048011779785156 610.6954956054688 604.1134643554688 None None None +7 2007 0.3105162978172302 610.6928100585938 604.1099853515625 None None None +7 2008 0.3104745149612427 610.6701049804688 604.088134765625 None None None +7 2009 0.3104529082775116 610.6353149414062 604.0538330078125 None None None +7 2010 0.3104059398174286 610.6334838867188 604.052978515625 None 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601.615478515625 None None None +8 1964 0.30027928948402405 607.96875 601.6028442382812 None None None +8 1965 0.3002629578113556 607.9677734375 601.6021728515625 None None None +8 1966 0.30030301213264465 607.939697265625 601.5732421875 None None None +8 1967 0.3002961277961731 607.9254150390625 601.55908203125 None None None +8 1968 0.30025872588157654 607.9581298828125 601.5925903320312 None None None +8 1969 0.3002304434776306 607.9133911132812 601.5485229492188 None None None +8 1970 0.3002285659313202 607.9546508789062 601.5897827148438 None None None +8 1971 0.3002149760723114 607.9624633789062 601.597900390625 None None None +8 1972 0.3002142012119293 608.0186767578125 601.6541748046875 None None None +8 1973 0.3002442419528961 608.0060424804688 601.640869140625 None None None +8 1974 0.300350159406662 607.9782104492188 601.6107788085938 None None None +8 1975 0.3002910912036896 607.9913940429688 601.625244140625 None None None +8 1976 0.30024152994155884 607.9696044921875 601.6044921875 None None None +8 1977 0.30030369758605957 608.03369140625 601.6672973632812 None None None +8 1978 0.30028605461120605 608.0231323242188 601.6571044921875 None None None +8 1979 0.3003217875957489 608.0302734375 601.6634521484375 None None None +8 1980 0.3003116846084595 608.073486328125 601.7068481445312 None None None +8 1981 0.30031976103782654 608.0775146484375 601.7107543945312 None None None +8 1982 0.3003537952899933 608.08447265625 601.7169799804688 None None None +8 1983 0.30040958523750305 608.0907592773438 601.7220458984375 None None None +8 1984 0.30037951469421387 608.0993041992188 601.7312622070312 None None None +8 1985 0.30042093992233276 608.096923828125 601.7279663085938 None None None +8 1986 0.30042439699172974 608.0621948242188 601.6931762695312 None None None +8 1987 0.300403356552124 608.1068115234375 601.7383422851562 None None None +8 1988 0.3003424406051636 608.0618286132812 601.6946411132812 None None None +8 1989 0.3003692030906677 608.0663452148438 601.6986083984375 None None None +8 1990 0.3004048466682434 608.1040649414062 601.735595703125 None None None +8 1991 0.30046141147613525 608.0877685546875 601.7180786132812 None None None +8 1992 0.3004646897315979 608.0628662109375 601.693115234375 None None None +8 1993 0.3005107343196869 608.0541381835938 601.683349609375 None None None +8 1994 0.30047890543937683 608.0595092773438 601.6893920898438 None None None +8 1995 0.30047640204429626 608.0693359375 601.6993408203125 None None None +8 1996 0.30045923590660095 608.0501708984375 601.6805419921875 None None None +8 1997 0.3004189133644104 607.9779052734375 601.6090698242188 None None None +8 1998 0.30042776465415955 607.993896484375 601.6248779296875 None None None +8 1999 0.30043894052505493 608.0059814453125 601.6367797851562 None None None +8 2000 0.30040544271469116 608.0130615234375 601.6445922851562 None None None +8 2001 0.3003857731819153 607.9939575195312 601.6258544921875 None None None +8 2002 0.3004155158996582 607.9802856445312 601.611572265625 None None None +8 2003 0.30036622285842896 607.9437255859375 601.5760498046875 None None None +8 2004 0.3003707230091095 607.9478149414062 601.5800170898438 None None None +8 2005 0.30041706562042236 607.9793701171875 601.6106567382812 None None None +8 2006 0.3004344701766968 607.9531860351562 601.5841064453125 None None None +8 2007 0.3004209101200104 607.9545288085938 601.5857543945312 None None None +8 2008 0.30041784048080444 607.9209594726562 601.55224609375 None None None +8 2009 0.30037400126457214 607.9286499023438 601.5608520507812 None None None +8 2010 0.30033981800079346 607.9417114257812 601.5746459960938 None None None +8 2011 0.30027833580970764 607.9259643554688 601.5601806640625 None None None +8 2012 0.3002592623233795 607.9015502929688 601.5361328125 None None None +8 2013 0.30020561814308167 607.9127197265625 601.5484008789062 None None None +8 2014 0.30025216937065125 607.9033813476562 601.5380859375 None None None +8 2015 0.30023470520973206 607.8892211914062 601.5242919921875 None None None +8 2016 0.30023714900016785 607.9125366210938 601.5475463867188 None None None +8 2017 0.3002152144908905 607.920166015625 601.5557250976562 None None None +8 2018 0.3002087473869324 607.9536743164062 601.5892944335938 None None None +8 2019 0.3002026081085205 607.9321899414062 601.5679931640625 None None None +8 2020 0.3001999258995056 607.9251708984375 601.56103515625 None None None +8 2021 0.3002161383628845 607.9646606445312 601.60009765625 None None None +8 2022 0.3002239763736725 607.939697265625 601.5748901367188 None None None +8 2023 0.3002220094203949 607.9439086914062 601.5792236328125 None None None +8 2024 0.3002500534057617 607.9476928710938 601.5824584960938 None None None +8 2025 0.300274133682251 607.944091796875 601.5783081054688 None None None +8 2026 0.3002726435661316 607.9723510742188 601.606689453125 None None None +8 2027 0.30026695132255554 607.982421875 601.6168212890625 None 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None None +9 1867 0.2931571304798126 606.2557373046875 600.0408935546875 None None None +9 1868 0.29315316677093506 606.2689208984375 600.0541381835938 None None None +9 1869 0.29315245151519775 606.246826171875 600.0320434570312 None None None +9 1870 0.29313910007476807 606.2684326171875 600.0538940429688 None None None +9 1871 0.29313430190086365 606.2418212890625 600.02734375 None None None +9 1872 0.29315200448036194 606.2394409179688 600.0245971679688 None None None +9 1873 0.2930956184864044 606.243408203125 600.02978515625 None None None +9 1874 0.29307821393013 606.2578125 600.0445556640625 None None None +9 1875 0.2930231988430023 606.260009765625 600.0479125976562 None None None +9 1876 0.29307952523231506 606.2459716796875 600.03271484375 None None None +9 1877 0.29301103949546814 606.2451171875 600.0332641601562 None None None +9 1878 0.2930491864681244 606.25048828125 600.037841796875 None None None +9 1879 0.293032169342041 606.2572021484375 600.044921875 None None None 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None +9 1906 0.2929737865924835 606.247802734375 600.0366821289062 None None None +9 1907 0.29296740889549255 606.2377319335938 600.0267333984375 None None None +9 1908 0.29294198751449585 606.2302856445312 600.0198974609375 None None None +9 1909 0.292930543422699 606.2171630859375 600.0070190429688 None None None +9 1910 0.2929624319076538 606.2349853515625 600.024169921875 None None None +9 1911 0.2929447591304779 606.2561645507812 600.0457153320312 None None None +9 1912 0.292934775352478 606.227294921875 600.01708984375 None None None +9 1913 0.29289835691452026 606.2402954101562 600.0308227539062 None None None +9 1914 0.29293471574783325 606.29150390625 600.0812377929688 None None None +9 1915 0.2929270267486572 606.2561645507812 600.0460815429688 None None None +9 1916 0.2929040193557739 606.2847290039062 600.0751342773438 None None None +9 1917 0.29290497303009033 606.2896728515625 600.080078125 None None None +9 1918 0.2929052710533142 606.31689453125 600.1072998046875 None None None +9 1919 0.29290270805358887 606.2991333007812 600.0896606445312 None None None +9 1920 0.2928670048713684 606.3046264648438 600.095947265625 None None None +9 1921 0.292930006980896 606.2747802734375 600.0647583007812 None None None +9 1922 0.29294541478157043 606.284912109375 600.0745239257812 None None None +9 1923 0.2930257320404053 606.2617797851562 600.0497436523438 None None None +9 1924 0.29303842782974243 606.3043823242188 600.092041015625 None None None +9 1925 0.2930436432361603 606.330322265625 600.117919921875 None None None +9 1926 0.2930413782596588 606.3158569335938 600.1034545898438 None None None +9 1927 0.29298651218414307 606.3082885742188 600.0970458984375 None None None +9 1928 0.2929815649986267 606.2922973632812 600.0811767578125 None None None +9 1929 0.2929893136024475 606.2833251953125 600.072021484375 None None None +9 1930 0.29299527406692505 606.2783813476562 600.0670166015625 None None None +9 1931 0.2930794358253479 606.3303833007812 600.1171875 None None None +9 1932 0.29304611682891846 606.32373046875 600.1112670898438 None None None +9 1933 0.2930143475532532 606.3062744140625 600.0945434570312 None None None +9 1934 0.2930287718772888 606.2673950195312 600.0553588867188 None None None +9 1935 0.2930365204811096 606.2681274414062 600.055908203125 None None None +9 1936 0.2930683493614197 606.2478637695312 600.0349731445312 None None None +9 1937 0.29306384921073914 606.2427978515625 600.0300903320312 None None None +9 1938 0.2930748462677002 606.2974853515625 600.0845336914062 None None None +9 1939 0.2930436432361603 606.2926025390625 600.080322265625 None None None +9 1940 0.292983740568161 606.25390625 600.0429077148438 None None None +9 1941 0.2929288446903229 606.2410888671875 600.03125 None None None +9 1942 0.29295632243156433 606.184326171875 599.9739379882812 None None None +9 1943 0.29296886920928955 606.2100219726562 599.9993286132812 None None None +9 1944 0.2930002510547638 606.2218627929688 600.0105590820312 None None None +9 1945 0.29296228289604187 606.2217407226562 600.01123046875 None None None +9 1946 0.29295578598976135 606.2461547851562 600.0358276367188 None None None +9 1947 0.2929840385913849 606.2607421875 600.0498046875 None None None +9 1948 0.2929912507534027 606.249755859375 600.0386962890625 None None None +9 1949 0.2929874062538147 606.2518920898438 600.0408935546875 None None None +9 1950 0.29307904839515686 606.22216796875 600.0092163085938 None None None +9 1951 0.2930256724357605 606.2296752929688 600.0178833007812 None None None +9 1952 0.29303398728370667 606.2193603515625 600.0073852539062 None None None +9 1953 0.29305586218833923 606.205810546875 599.9933471679688 None None None +9 1954 0.29303044080734253 606.1829833984375 599.9710693359375 None None None +9 1955 0.2930016815662384 606.1978759765625 599.986572265625 None None None +9 1956 0.2929857671260834 606.205322265625 599.994384765625 None None None +9 1957 0.29299721121788025 606.2061767578125 599.9949340820312 None None None +9 1958 0.293010413646698 606.219970703125 600.0084838867188 None None None +9 1959 0.2929506301879883 606.22021484375 600.010009765625 None None None +9 1960 0.29294082522392273 606.21630859375 600.0062255859375 None None None +9 1961 0.29295802116394043 606.228759765625 600.0183715820312 None None None +9 1962 0.2929423749446869 606.2192993164062 600.0092163085938 None None None +9 1963 0.2929172217845917 606.1934204101562 599.9838256835938 None None None +9 1964 0.29290881752967834 606.2083129882812 599.9989013671875 None None None +9 1965 0.2928900122642517 606.1672973632812 599.958251953125 None None None +9 1966 0.2928655743598938 606.1033325195312 599.8948364257812 None None None +9 1967 0.29288870096206665 606.0647583007812 599.8557739257812 None None None +9 1968 0.29283490777015686 606.062255859375 599.8544311523438 None None None +9 1969 0.29278111457824707 606.0496215820312 599.8429565429688 None None None +9 1970 0.2927662134170532 606.08935546875 599.8829956054688 None None None +9 1971 0.29276666045188904 606.0518798828125 599.8455200195312 None None None +9 1972 0.29272639751434326 606.0367431640625 599.8312377929688 None None None +9 1973 0.29271015524864197 606.0385131835938 599.8333129882812 None None None +9 1974 0.2927022874355316 606.0220336914062 599.8170166015625 None None None +9 1975 0.2926705479621887 605.9962768554688 599.7919311523438 None None None +9 1976 0.292772501707077 606.0263061523438 599.81982421875 None None None +9 1977 0.29277440905570984 606.0726928710938 599.8661499023438 None None None +9 1978 0.2927912175655365 606.0706787109375 599.86376953125 None None None +9 1979 0.29279571771621704 606.0810546875 599.8740234375 None None None +9 1980 0.29284384846687317 606.0999145507812 599.891845703125 None None None +9 1981 0.29288339614868164 606.0800170898438 599.87109375 None None None +9 1982 0.29287534952163696 606.1112670898438 599.9025268554688 None None None +9 1983 0.292878657579422 606.1124877929688 599.9036865234375 None None None +9 1984 0.2928376793861389 606.1292114257812 599.9212646484375 None None None +9 1985 0.2928094267845154 606.1246337890625 599.917236328125 None None None +9 1986 0.29279494285583496 606.1276245117188 599.9205932617188 None None None +9 1987 0.2927715480327606 606.1070556640625 599.9005126953125 None None None +9 1988 0.29276371002197266 606.088623046875 599.8822631835938 None None None +9 1989 0.292772501707077 606.0732421875 599.86669921875 None None None +9 1990 0.2927859425544739 606.107666015625 599.9008178710938 None None None +9 1991 0.29275697469711304 606.1115112304688 599.9052734375 None None None +9 1992 0.29277655482292175 606.120361328125 599.9137573242188 None None None +9 1993 0.2927358150482178 606.1176147460938 599.9118041992188 None None None +9 1994 0.2927010953426361 606.1101684570312 599.9051513671875 None None None +9 1995 0.29265785217285156 606.1001586914062 599.8960571289062 None None None +9 1996 0.29264533519744873 606.1040649414062 599.9002685546875 None None None +9 1997 0.29260632395744324 606.1192626953125 599.9163208007812 None None None +9 1998 0.29265934228897095 606.082275390625 599.878173828125 None None None +9 1999 0.29266783595085144 606.0846557617188 599.8803100585938 None None None +9 2000 0.2926880717277527 606.1470336914062 599.9423217773438 None None None +9 2001 0.2926696538925171 606.1695556640625 599.9652709960938 None None None +9 2002 0.2926645874977112 606.2048950195312 600.0006713867188 None None None +9 2003 0.2926119863986969 606.178466796875 599.975341796875 None None None +9 2004 0.2925856113433838 606.1886596679688 599.986083984375 None None None +9 2005 0.29256221652030945 606.2291259765625 600.027099609375 None None None +9 2006 0.2925616502761841 606.212890625 600.0109252929688 None None None +9 2007 0.29254475235939026 606.1973266601562 599.9957275390625 None None None +9 2008 0.2925140857696533 606.1818237304688 599.9807739257812 None None None +9 2009 0.292560875415802 606.223388671875 600.0214233398438 None None None +9 2010 0.2925386130809784 606.2233276367188 600.0218505859375 None None None +9 2011 0.29254618287086487 606.2146606445312 600.012939453125 None None None +9 2012 0.29264116287231445 606.215087890625 600.0112915039062 None None None +9 2013 0.29269173741340637 606.2100219726562 600.0051879882812 None None None +9 2014 0.2926905155181885 606.2112426757812 600.0064697265625 None None None +9 2015 0.2926904261112213 606.2015991210938 599.9967651367188 None None None +9 2016 0.292660653591156 606.1848754882812 599.9806518554688 None None None +9 2017 0.2926625609397888 606.20654296875 600.0023193359375 None None None +9 2018 0.29267972707748413 606.1815185546875 599.9769287109375 None None None +9 2019 0.29268741607666016 606.1893920898438 599.9845581054688 None None None +9 2020 0.29272040724754333 606.21728515625 600.0118408203125 None None None +9 2021 0.2927294969558716 606.197509765625 599.9918823242188 None None None +9 2022 0.2927256226539612 606.2100219726562 600.0044555664062 None None None +9 2023 0.2927318513393402 606.2348022460938 600.0291137695312 None None None +9 2024 0.29272663593292236 606.1943969726562 599.98876953125 None None None +9 2025 0.2927388548851013 606.2250366210938 600.0191650390625 None None None +9 2026 0.2927440404891968 606.2473754882812 600.0414428710938 None None None +9 2027 0.2927365303039551 606.2359008789062 600.0301513671875 None None None +9 2028 0.29275912046432495 606.24462890625 600.0383911132812 None None None +9 2029 0.29271262884140015 606.2089233398438 600.0037231445312 None None None +9 2030 0.29269832372665405 606.2034912109375 599.99853515625 None None None +9 2031 0.29272621870040894 606.2435302734375 600.0379638671875 None None None +9 2032 0.29272574186325073 606.2272338867188 600.021728515625 None None None +9 2033 0.29270440340042114 606.2128295898438 600.0077514648438 None None None +9 2034 0.29270511865615845 606.2159423828125 600.0108032226562 None None None +9 2035 0.29267749190330505 606.2006225585938 599.9961547851562 None None None +9 2036 0.2926956117153168 606.170166015625 599.9652709960938 None None None +9 2037 0.2927258312702179 606.1546020507812 599.9490966796875 None None None +9 2038 0.29274964332580566 606.184814453125 599.978759765625 None None None +9 2039 0.29274970293045044 606.1585693359375 599.9525146484375 None None None +9 2040 0.29272302985191345 606.1527709960938 599.9473266601562 None None None +9 2041 0.29269522428512573 606.1719970703125 599.9671020507812 None None None +9 2042 0.29273349046707153 606.1903686523438 599.984619140625 None None None +9 2043 0.2927341163158417 606.2147827148438 600.0090942382812 None None None +9 2044 0.29276177287101746 606.2266235351562 600.0203247070312 None None None +9 2045 0.29281553626060486 606.212158203125 600.0046997070312 None None None +9 2046 0.2927953600883484 606.205322265625 599.998291015625 None None None +9 2047 0.2927873432636261 606.2035522460938 599.9967041015625 None None None +9 2048 0.2927883565425873 606.1865234375 599.9796142578125 None None None +9 2049 0.2928236722946167 606.1825561523438 599.9749145507812 None None None +9 2050 0.29280054569244385 606.1766357421875 599.969482421875 None None None +9 2051 0.29282626509666443 606.1807250976562 599.9730834960938 None None None +9 2052 0.29286959767341614 606.1904907226562 599.9818725585938 None None None +9 2053 0.292839378118515 606.1922607421875 599.9843139648438 None None None +9 2054 0.29283416271209717 606.1964111328125 599.9886474609375 None None None +9 2055 0.29284587502479553 606.2257080078125 600.0177001953125 None None None +9 2056 0.2928299605846405 606.2509155273438 600.0432739257812 None None None +9 2057 0.2928410768508911 606.2852172851562 600.0773315429688 None None None +9 2058 0.2928362786769867 606.3228149414062 600.1150512695312 None None None +9 2059 0.29286131262779236 606.3646240234375 600.1563720703125 None 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None None +10 1912 0.2838567793369293 604.6211547851562 598.6032104492188 None None None +10 1913 0.28395456075668335 604.6482543945312 598.6282348632812 None None None +10 1914 0.283966988325119 604.6085205078125 598.5882568359375 None None None +10 1915 0.2839505672454834 604.5916137695312 598.5717163085938 None None None +10 1916 0.28398841619491577 604.6136474609375 598.5928955078125 None None None +10 1917 0.2839893102645874 604.596923828125 598.5762329101562 None None None +10 1918 0.2839469313621521 604.6010131835938 598.5811767578125 None None None +10 1919 0.2839230000972748 604.5955810546875 598.5762939453125 None None None +10 1920 0.28393009305000305 604.5938720703125 598.5743408203125 None None None +10 1921 0.28397148847579956 604.6058959960938 598.5855712890625 None None None +10 1922 0.2839595079421997 604.59423828125 598.5741577148438 None None None +10 1923 0.283960223197937 604.6456298828125 598.62548828125 None None None +10 1924 0.2840556800365448 604.6773681640625 598.6552124023438 None None None +10 1925 0.2840760350227356 604.7156982421875 598.693115234375 None None None +10 1926 0.2840918004512787 604.7348022460938 598.7118530273438 None None None +10 1927 0.28408658504486084 604.7661743164062 598.743408203125 None None None +10 1928 0.28406256437301636 604.7393188476562 598.7171020507812 None None None +10 1929 0.28401926159858704 604.7144775390625 598.693115234375 None None None +10 1930 0.28402388095855713 604.7005615234375 598.6791381835938 None None None +10 1931 0.2840040326118469 604.7032470703125 598.6821899414062 None None None +10 1932 0.28403955698013306 604.73828125 598.7164916992188 None None None +10 1933 0.2839868366718292 604.7327880859375 598.712158203125 None None None +10 1934 0.2839951515197754 604.7631225585938 598.7423706054688 None None None +10 1935 0.2839491665363312 604.7462158203125 598.7263793945312 None None None +10 1936 0.2840780019760132 604.7293090820312 598.7067260742188 None None None +10 1937 0.2840420603752136 604.7622680664062 598.740478515625 None None None +10 1938 0.2840059697628021 604.7484130859375 598.7273559570312 None None None +10 1939 0.28399884700775146 604.7246704101562 598.7037963867188 None None None +10 1940 0.2839735746383667 604.6752319335938 598.6549072265625 None None None +10 1941 0.28400251269340515 604.6964111328125 598.6754150390625 None None None +10 1942 0.28398630023002625 604.7045288085938 598.6838989257812 None None None +10 1943 0.2839503884315491 604.7265625 598.7066040039062 None None None +10 1944 0.28394100069999695 604.7399291992188 598.72021484375 None None None +10 1945 0.28388646245002747 604.7141723632812 598.6956176757812 None None None +10 1946 0.2838611304759979 604.6956787109375 598.6776733398438 None None None +10 1947 0.28383028507232666 604.6952514648438 598.6778564453125 None None None +10 1948 0.28386789560317993 604.7384643554688 598.7203369140625 None None None +10 1949 0.2838635742664337 604.7172241210938 598.6991577148438 None None None +10 1950 0.2838799059391022 604.7453002929688 598.7269287109375 None None None +10 1951 0.2838760018348694 604.7508544921875 598.7326049804688 None None None +10 1952 0.2839023172855377 604.7689208984375 598.7501220703125 None None None +10 1953 0.28389671444892883 604.7923583984375 598.7736206054688 None None None +10 1954 0.28390049934387207 604.8001708984375 598.7813720703125 None None None +10 1955 0.2839082181453705 604.7711181640625 598.752197265625 None None None +10 1956 0.2838935852050781 604.7659301757812 598.7473754882812 None None None +10 1957 0.283855676651001 604.7154541015625 598.69775390625 None None None +10 1958 0.2838239073753357 604.7289428710938 598.7119140625 None None None +10 1959 0.28384944796562195 604.7293701171875 598.7117309570312 None None None +10 1960 0.2838452458381653 604.7100219726562 598.6925048828125 None None None +10 1961 0.2837878167629242 604.724853515625 598.7085571289062 None None None +10 1962 0.2837756276130676 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0.2835366427898407 604.6748657226562 598.6638793945312 None None None +10 1976 0.2836114764213562 604.635986328125 598.6234741210938 None None None +10 1977 0.28361213207244873 604.6696166992188 598.6571044921875 None None None +10 1978 0.2836134135723114 604.6633911132812 598.65087890625 None None None +10 1979 0.28357237577438354 604.6452026367188 598.633544921875 None None None +10 1980 0.28350165486335754 604.62890625 598.6187744140625 None None None +10 1981 0.2834928035736084 604.6172485351562 598.6072998046875 None None None +10 1982 0.28347525000572205 604.654296875 598.6447143554688 None None None +10 1983 0.28345242142677307 604.6346435546875 598.6255493164062 None None None +10 1984 0.28342223167419434 604.6358032226562 598.6273803710938 None None None +10 1985 0.2835167348384857 604.619873046875 598.6094360351562 None None None +10 1986 0.2834731638431549 604.59423828125 598.584716796875 None None None +10 1987 0.28348681330680847 604.6376953125 598.6279296875 None None None +10 1988 0.2834674119949341 604.6926879882812 598.6834106445312 None None None +10 1989 0.28349921107292175 604.6909790039062 598.6809692382812 None None None +10 1990 0.28346383571624756 604.6867065429688 598.677490234375 None None None +10 1991 0.28351667523384094 604.68359375 598.6732788085938 None None None +10 1992 0.2835443913936615 604.7185668945312 598.7077026367188 None None None +10 1993 0.28355395793914795 604.740478515625 598.7293701171875 None None None +10 1994 0.2835182845592499 604.7310791015625 598.7207641601562 None None None +10 1995 0.2834877371788025 604.72314453125 598.7134399414062 None None None +10 1996 0.2835262715816498 604.748779296875 598.73828125 None None None +10 1997 0.2835698425769806 604.7271728515625 598.7157592773438 None None None +10 1998 0.2835949957370758 604.6751708984375 598.6631469726562 None None None +10 1999 0.2835637331008911 604.6749267578125 598.66357421875 None None None +10 2000 0.28358709812164307 604.6539306640625 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0.283725768327713 604.6448974609375 598.6299438476562 None None None +10 2027 0.2836724519729614 604.6207275390625 598.6068725585938 None None None +10 2028 0.2836933135986328 604.6101684570312 598.5958862304688 None None None +10 2029 0.2836567461490631 604.640380859375 598.6268310546875 None None None +10 2030 0.28365081548690796 604.6143798828125 598.6009521484375 None None None +10 2031 0.28362444043159485 604.6259155273438 598.613037109375 None None None +10 2032 0.2837119996547699 604.5963134765625 598.58154296875 None None None +10 2033 0.28372451663017273 604.582275390625 598.5672607421875 None None None +10 2034 0.28371766209602356 604.5874633789062 598.5725708007812 None None None +10 2035 0.2837449312210083 604.6168823242188 598.6013793945312 None None None +10 2036 0.2837598919868469 604.6375122070312 598.6216430664062 None None None +10 2037 0.2837419807910919 604.6508178710938 598.6353759765625 None None None +10 2038 0.28384748101234436 604.6383056640625 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0.26837337017059326 601.6643676757812 595.974609375 None None None +12 1837 0.26840659976005554 601.6566162109375 595.9661254882812 None None None +12 1838 0.268385112285614 601.662109375 595.9721069335938 None None None +12 1839 0.2683768570423126 601.678466796875 595.9886474609375 None None None +12 1840 0.2684311866760254 601.6774291992188 595.9863891601562 None None None +12 1841 0.2684251070022583 601.6884765625 595.99755859375 None None None +12 1842 0.2684367001056671 601.725341796875 596.0341796875 None None None +12 1843 0.2687118649482727 601.7244873046875 596.0275268554688 None None None +12 1844 0.26868584752082825 601.6632080078125 595.966796875 None None None +12 1845 0.26869407296180725 601.67626953125 595.9796752929688 None None None +12 1846 0.2687506079673767 601.72021484375 596.0224609375 None None None +12 1847 0.26874616742134094 601.7263793945312 596.0286254882812 None None None +12 1848 0.2687581479549408 601.739013671875 596.0410766601562 None None None +12 1849 0.26877105236053467 601.7881469726562 596.0899658203125 None None None +12 1850 0.26878035068511963 601.827880859375 596.1295166015625 None None None +12 1851 0.2688319981098175 601.8113403320312 596.1118774414062 None None None +12 1852 0.2688642144203186 601.8198852539062 596.1196899414062 None None None +12 1853 0.26881808042526245 601.8473510742188 596.148193359375 None None None +12 1854 0.2688252627849579 601.8466796875 596.1473388671875 None None None +12 1855 0.26882898807525635 601.86669921875 596.1672973632812 None None None +12 1856 0.2688373625278473 601.8818359375 596.1822509765625 None None None +12 1857 0.26888948678970337 601.8824462890625 596.1817016601562 None None None +12 1858 0.26886436343193054 601.9280395507812 596.2278442382812 None None None +12 1859 0.26884374022483826 601.9458618164062 596.2461547851562 None None None +12 1860 0.26882752776145935 601.986572265625 596.2871704101562 None None None +12 1861 0.2688472867012024 601.999755859375 596.2999267578125 None None None +12 1862 0.26883429288864136 602.01318359375 596.3136596679688 None None None +12 1863 0.2688289284706116 602.0025024414062 596.3031616210938 None None None +12 1864 0.2688343822956085 602.0397338867188 596.3402709960938 None None None +12 1865 0.2688533365726471 602.0599975585938 596.3600463867188 None None None +12 1866 0.2688269019126892 602.107421875 596.4080810546875 None None None +12 1867 0.2688456177711487 602.0879516601562 596.3882446289062 None None None +12 1868 0.2687966525554657 602.0989379882812 596.4003295898438 None None None +12 1869 0.26881143450737 602.1410522460938 596.4420166015625 None None None +12 1870 0.26877787709236145 602.1090087890625 596.4107055664062 None None None +12 1871 0.26880761981010437 602.1263427734375 596.4273681640625 None None None +12 1872 0.26885098218917847 602.1534423828125 596.45361328125 None None None +12 1873 0.2688654065132141 602.19091796875 596.4907836914062 None None None +12 1874 0.26885390281677246 602.2255859375 596.5256958007812 None None None +12 1875 0.2688264846801758 602.2242431640625 596.52490234375 None None None +12 1876 0.2688177824020386 602.2086181640625 596.509521484375 None None None +12 1877 0.26880592107772827 602.2424926757812 596.543701171875 None None None +12 1878 0.26883402466773987 602.21533203125 596.5159912109375 None None None +12 1879 0.2688385248184204 602.2139892578125 596.5145263671875 None None None +12 1880 0.2687932848930359 602.2151489257812 596.5165405273438 None None None +12 1881 0.26878321170806885 602.2526245117188 596.5542602539062 None None None +12 1882 0.2687781751155853 602.2401123046875 596.5419311523438 None None None +12 1883 0.26876887679100037 602.2444458007812 596.54638671875 None None None +12 1884 0.26873084902763367 602.2247314453125 596.5274658203125 None None None +12 1885 0.26870840787887573 602.1675415039062 596.4707641601562 None None None +12 1886 0.2686966061592102 602.1421508789062 596.4456176757812 None None None +12 1887 0.26875588297843933 602.1389770507812 596.441162109375 None None None +12 1888 0.26872825622558594 602.1455078125 596.4483032226562 None None None +12 1889 0.2686808109283447 602.1561889648438 596.4599609375 None None None +12 1890 0.2686122953891754 602.1263427734375 596.431640625 None None None +12 1891 0.2686404883861542 602.1348876953125 596.4395751953125 None None None +12 1892 0.2686767876148224 602.119140625 596.423095703125 None None None +12 1893 0.26869112253189087 602.1221923828125 596.42578125 None None None +12 1894 0.2687172293663025 602.1170654296875 596.4201049804688 None None None +12 1895 0.2687195837497711 602.134765625 596.4376831054688 None None None +12 1896 0.26870372891426086 602.2575073242188 596.5607299804688 None None None +12 1897 0.26871660351753235 602.2514038085938 596.554443359375 None None None +12 1898 0.2687145173549652 602.3004150390625 596.6034545898438 None None None +12 1899 0.26875609159469604 602.277587890625 596.5797729492188 None None None +12 1900 0.2687877118587494 602.284912109375 596.58642578125 None None None +12 1901 0.26877835392951965 602.2562255859375 596.5579833984375 None None None +12 1902 0.2687342166900635 602.2481689453125 596.5508422851562 None None None +12 1903 0.2687687575817108 602.30224609375 596.604248046875 None None None +12 1904 0.2687821090221405 602.2880249023438 596.5897216796875 None None None +12 1905 0.26879334449768066 602.3224487304688 596.6239624023438 None None None +12 1906 0.268840491771698 602.3200073242188 596.6204833984375 None None None +12 1907 0.26882708072662354 602.306396484375 596.607177734375 None None None +12 1908 0.26885902881622314 602.3988647460938 596.6989135742188 None None None +12 1909 0.2688608467578888 602.3805541992188 596.6806640625 None None None +12 1910 0.26887133717536926 602.3652954101562 596.6651000976562 None None None +12 1911 0.2688835561275482 602.3700561523438 596.6696166992188 None None None +12 1912 0.26885658502578735 602.3892822265625 596.6893920898438 None None None +12 1913 0.26885417103767395 602.3938598632812 596.6940307617188 None None None +12 1914 0.2688310444355011 602.3740234375 596.6747436523438 None None None +12 1915 0.2688350975513458 602.35400390625 596.6546020507812 None None None +12 1916 0.2688444256782532 602.3612060546875 596.6615600585938 None None None +12 1917 0.26878952980041504 602.3727416992188 596.6742553710938 None None None +12 1918 0.2688204348087311 602.3794555664062 596.6802978515625 None None None +12 1919 0.2688300907611847 602.402587890625 596.7032470703125 None None None +12 1920 0.2688249945640564 602.4578247070312 596.7586059570312 None None None +12 1921 0.26884332299232483 602.4588623046875 596.75927734375 None None None +12 1922 0.2688502073287964 602.4600219726562 596.76025390625 None None None +12 1923 0.2688960134983063 602.4769897460938 596.7762451171875 None None None +12 1924 0.2688887119293213 602.4584350585938 596.7577514648438 None None None +12 1925 0.26893413066864014 602.4376220703125 596.7360229492188 None None None +12 1926 0.26892170310020447 602.3794555664062 596.6780395507812 None None None +12 1927 0.2689210772514343 602.3757934570312 596.6744995117188 None None None +12 1928 0.26890942454338074 602.3748779296875 596.6737670898438 None None None +12 1929 0.26890331506729126 602.3408203125 596.6398315429688 None None None +12 1930 0.2688961625099182 602.3292236328125 596.62841796875 None None None +12 1931 0.2689524292945862 602.3671264648438 596.6651000976562 None None None +12 1932 0.26891204714775085 602.359375 596.6582641601562 None None None +12 1933 0.26893603801727295 602.338134765625 596.636474609375 None None None +12 1934 0.26893559098243713 602.3496704101562 596.6480712890625 None None None +12 1935 0.2688652575016022 602.3646850585938 596.6644897460938 None None None +12 1936 0.2688407599925995 602.3351440429688 596.635498046875 None None None +12 1937 0.2688088119029999 602.3465576171875 596.6476440429688 None None None +12 1938 0.26878413558006287 602.3396606445312 596.6412963867188 None None None +12 1939 0.2687409222126007 602.3126220703125 596.6151123046875 None None None +12 1940 0.2687116861343384 602.3102416992188 596.6134033203125 None None None +12 1941 0.26869529485702515 602.3065185546875 596.6099853515625 None None None +12 1942 0.26875776052474976 602.3403930664062 596.6425170898438 None None None +12 1943 0.2687452733516693 602.3682861328125 596.6705932617188 None None None +12 1944 0.26870593428611755 602.371337890625 596.6744995117188 None None None +12 1945 0.268737256526947 602.3544311523438 596.656982421875 None None None +12 1946 0.2687082290649414 602.3875122070312 596.690673828125 None None None +12 1947 0.268668532371521 602.3878784179688 596.69189453125 None None None +12 1948 0.2686598002910614 602.3746337890625 596.6788330078125 None None None +12 1949 0.2686590552330017 602.3582763671875 596.6624755859375 None None None +12 1950 0.2686537504196167 602.360595703125 596.6649169921875 None None None +12 1951 0.2686194181442261 602.3660888671875 596.6710815429688 None None None +12 1952 0.26858851313591003 602.41064453125 596.71630859375 None None None +12 1953 0.2685880959033966 602.3987426757812 596.7044677734375 None None None +12 1954 0.2686220109462738 602.3999633789062 596.7049560546875 None None None +12 1955 0.26865172386169434 602.3786010742188 596.6829833984375 None None None +12 1956 0.26867222785949707 602.3529663085938 596.6569213867188 None None None +12 1957 0.26867178082466125 602.3273315429688 596.6312255859375 None None None +12 1958 0.26873937249183655 602.3768310546875 596.6793212890625 None None None +12 1959 0.2687864899635315 602.359619140625 596.6611328125 None None None +12 1960 0.26880136132240295 602.3407592773438 596.6420288085938 None None None +12 1961 0.2688109278678894 602.3484497070312 596.6494750976562 None None None +12 1962 0.26881536841392517 602.3661499023438 596.6671142578125 None None None +12 1963 0.2688659727573395 602.349853515625 596.6497802734375 None None None +12 1964 0.2688581645488739 602.3276977539062 596.6277465820312 None None None +12 1965 0.2688736617565155 602.3273315429688 596.6270141601562 None None None +12 1966 0.268885999917984 602.3403930664062 596.6397705078125 None None None +12 1967 0.26885348558425903 602.3292846679688 596.6294555664062 None None None +12 1968 0.2688518464565277 602.2997436523438 596.5999755859375 None None None +12 1969 0.26886770129203796 602.2904052734375 596.5902709960938 None None None +12 1970 0.2688632905483246 602.298095703125 596.5980834960938 None None None +12 1971 0.26885873079299927 602.3325805664062 596.6326293945312 None None None +12 1972 0.2688385546207428 602.3338012695312 596.63427734375 None None None +12 1973 0.2688775062561035 602.2984619140625 596.59814453125 None None None +12 1974 0.26892513036727905 602.2791137695312 596.5776977539062 None None None +12 1975 0.2689082622528076 602.2874755859375 596.58642578125 None None None +12 1976 0.26891079545021057 602.2770385742188 596.575927734375 None None None +12 1977 0.26892590522766113 602.2935791015625 596.5921020507812 None None None +12 1978 0.2689273953437805 602.2925415039062 596.591064453125 None None None +12 1979 0.2689930498600006 602.3331909179688 596.63037109375 None None None +12 1980 0.26902061700820923 602.3401489257812 596.63671875 None None None +12 1981 0.2690155506134033 602.3405151367188 596.6371459960938 None None None +12 1982 0.2689931392669678 602.317626953125 596.61474609375 None None None +12 1983 0.2689962685108185 602.3263549804688 596.6234130859375 None None None +12 1984 0.26902562379837036 602.3515014648438 596.6478881835938 None None None +12 1985 0.26904457807540894 602.37890625 596.6749267578125 None None None +12 1986 0.26908206939697266 602.3840942382812 596.6793212890625 None None None +12 1987 0.26906517148017883 602.3194580078125 596.6150512695312 None None None +12 1988 0.269088476896286 602.3060913085938 596.6011352539062 None None None +12 1989 0.2691149115562439 602.2936401367188 596.588134765625 None None None +12 1990 0.26912859082221985 602.2968139648438 596.591064453125 None None None +12 1991 0.26917213201522827 602.2782592773438 596.571533203125 None None None +12 1992 0.2691527009010315 602.294921875 596.588623046875 None None None +12 1993 0.26911959052085876 602.3024291992188 596.5968017578125 None None None +12 1994 0.2690993547439575 602.2985229492188 596.5933227539062 None None None +12 1995 0.2690919041633606 602.3528442382812 596.6477661132812 None None None +12 1996 0.26914548873901367 602.3541259765625 596.64794921875 None None None +12 1997 0.26913610100746155 602.3428344726562 596.636962890625 None None None +12 1998 0.26911693811416626 602.357421875 596.6519165039062 None None None +12 1999 0.269112765789032 602.3483276367188 596.6429443359375 None None None +12 2000 0.26911064982414246 602.324462890625 596.619140625 None None None +12 2001 0.2691115736961365 602.313232421875 596.6078491210938 None None None +12 2002 0.26909366250038147 602.3099975585938 596.60498046875 None None None +12 2003 0.2690649628639221 602.3101196289062 596.605712890625 None None None +12 2004 0.2690247893333435 602.3638916015625 596.6603393554688 None None None +12 2005 0.26898935437202454 602.3543701171875 596.6515502929688 None None None +12 2006 0.2689926028251648 602.3464965820312 596.6435546875 None None None +12 2007 0.26900821924209595 602.3715209960938 596.6682739257812 None None None +12 2008 0.26900556683540344 602.3822021484375 596.678955078125 None None None +12 2009 0.26897743344306946 602.3662109375 596.66357421875 None None None +12 2010 0.2689817249774933 602.3963012695312 596.6935424804688 None None None +12 2011 0.26901811361312866 602.408935546875 596.7054443359375 None None None +12 2012 0.2689719498157501 602.3840942382812 596.6815795898438 None None None +12 2013 0.26890960335731506 602.4132690429688 596.7120361328125 None None None +12 2014 0.2688925266265869 602.3933715820312 596.6925048828125 None None None +12 2015 0.26891028881073 602.4271240234375 596.725830078125 None None None +12 2016 0.26889103651046753 602.3740844726562 596.6732177734375 None None None +12 2017 0.2688664495944977 602.3653564453125 596.6650390625 None None None +12 2018 0.2688882052898407 602.3553466796875 596.654541015625 None None None +12 2019 0.26894333958625793 602.3231201171875 596.6212158203125 None None None +12 2020 0.2689793109893799 602.3494262695312 596.646728515625 None None None +12 2021 0.26899534463882446 602.3609619140625 596.657958984375 None None None +12 2022 0.26900461316108704 602.3486938476562 596.6454467773438 None None None +12 2023 0.26899316906929016 602.37109375 596.6681518554688 None None None +12 2024 0.26899150013923645 602.3807373046875 596.6778564453125 None None None +12 2025 0.2689819633960724 602.4075927734375 596.704833984375 None None None +12 2026 0.26896363496780396 602.3786010742188 596.67626953125 None 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0.2631174623966217 600.1072998046875 594.5287475585938 None None None +13 1939 0.2630540430545807 600.1045532226562 594.52734375 None None None +13 1940 0.26305076479911804 600.1017456054688 594.5245971679688 None None None +13 1941 0.26302993297576904 600.1127319335938 594.5360717773438 None None None +13 1942 0.26303550601005554 600.09814453125 594.5213012695312 None None None +13 1943 0.2630373239517212 600.053466796875 594.4765625 None None None +13 1944 0.2630102038383484 600.094482421875 594.5181884765625 None None None +13 1945 0.26298296451568604 600.12109375 594.5452880859375 None None None +13 1946 0.26296448707580566 600.1731567382812 594.5977783203125 None None None +13 1947 0.2629895508289337 600.1459350585938 594.5699462890625 None None None +13 1948 0.26298150420188904 600.1193237304688 594.5435791015625 None None None +13 1949 0.2629977762699127 600.1212158203125 594.5451049804688 None None None +13 1950 0.26300737261772156 600.1631469726562 594.5867919921875 None None None +13 1951 0.2630067765712738 600.1477661132812 594.5714111328125 None None None +13 1952 0.2630292773246765 600.11962890625 594.5427856445312 None None None +13 1953 0.2630805969238281 600.1455078125 594.567626953125 None None None +13 1954 0.26304757595062256 600.1669921875 594.5897827148438 None None None +13 1955 0.2630707621574402 600.2042846679688 594.6265869140625 None None None +13 1956 0.263094425201416 600.2398681640625 594.6616821289062 None None None +13 1957 0.2631208896636963 600.2039794921875 594.625244140625 None None None +13 1958 0.263121634721756 600.2282104492188 594.6494140625 None None None +13 1959 0.263183057308197 600.2552490234375 594.6751708984375 None None None +13 1960 0.2631934881210327 600.2678833007812 594.6876220703125 None None None +13 1961 0.2632063031196594 600.2633666992188 594.6828002929688 None None None +13 1962 0.26319459080696106 600.2530517578125 594.6726684570312 None None None +13 1963 0.2632218301296234 600.2681884765625 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600.2788696289062 594.6915893554688 None None None +13 1977 0.26360008120536804 600.2614135742188 594.6724853515625 None None None +13 1978 0.2636434733867645 600.27099609375 594.68115234375 None None None +13 1979 0.2637138068675995 600.2738037109375 594.6824340820312 None None None +13 1980 0.26371464133262634 600.2723388671875 594.6809692382812 None None None +13 1981 0.2636711299419403 600.2418823242188 594.6514282226562 None None None +13 1982 0.26368582248687744 600.24755859375 594.65673828125 None None None +13 1983 0.26372620463371277 600.2327270507812 594.6409912109375 None None None +13 1984 0.26369160413742065 600.3113403320312 594.7203369140625 None None None +13 1985 0.2637512981891632 600.3123779296875 594.7201538085938 None None None +13 1986 0.26374876499176025 600.277099609375 594.6848754882812 None None None +13 1987 0.2637335956096649 600.3358154296875 594.7439575195312 None None None +13 1988 0.2637268900871277 600.3235473632812 594.7317504882812 None None None +13 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0.25863099098205566 599.3130493164062 593.8284301757812 None None None +14 2002 0.25864702463150024 599.2975463867188 593.8126220703125 None None None +14 2003 0.25865426659584045 599.2622680664062 593.7772216796875 None None None +14 2004 0.25861304998397827 599.2490844726562 593.7648315429688 None None None +14 2005 0.25865399837493896 599.2682495117188 593.7831420898438 None None None +14 2006 0.25863003730773926 599.2011108398438 593.7164916992188 None None None +14 2007 0.258628249168396 599.2379150390625 593.7533569335938 None None None +14 2008 0.258619487285614 599.2013549804688 593.7169799804688 None None None +14 2009 0.2585923969745636 599.2113037109375 593.7275390625 None None None +14 2010 0.25859588384628296 599.2210083007812 593.7371826171875 None None None +14 2011 0.2585674524307251 599.24951171875 593.7662963867188 None None None +14 2012 0.2585604190826416 599.2600708007812 593.7769775390625 None None None +14 2013 0.2585025429725647 599.3117065429688 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584.53369140625 None None None +16 1829 0.21911735832691193 589.2050170898438 584.5603637695312 None None None +16 1830 0.21909622848033905 589.2279663085938 584.5838012695312 None None None +16 1831 0.21910704672336578 589.2277221679688 584.583251953125 None None None +16 1832 0.219084233045578 589.18310546875 584.5391845703125 None None None +16 1833 0.21908636391162872 589.205810546875 584.561767578125 None None None +16 1834 0.21906253695487976 589.2109375 584.5673828125 None None None +16 1835 0.21907934546470642 589.215576171875 584.5717163085938 None None None +16 1836 0.21905164420604706 589.2214965820312 584.5783081054688 None None None +16 1837 0.21903036534786224 589.1912231445312 584.5485229492188 None None None +16 1838 0.21900001168251038 589.1617431640625 584.5197143554688 None None None +16 1839 0.2189905047416687 589.171875 584.530029296875 None None None +16 1840 0.21900169551372528 589.1735229492188 584.5314331054688 None None None +16 1841 0.2190147042274475 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1854 0.21895550191402435 589.2007446289062 584.5596313476562 None None None +16 1855 0.2189498394727707 589.2218627929688 584.5809326171875 None None None +16 1856 0.2189989537000656 589.2308349609375 584.5888061523438 None None None +16 1857 0.21902671456336975 589.2476196289062 584.60498046875 None None None +16 1858 0.2190331518650055 589.242431640625 584.5996704101562 None None None +16 1859 0.21901188790798187 589.2113037109375 584.5690307617188 None None None +16 1860 0.21898390352725983 589.2201538085938 584.5784301757812 None None None +16 1861 0.21900252997875214 589.2330932617188 584.5910034179688 None None None +16 1862 0.21898050606250763 589.2621459960938 584.6204833984375 None None None +16 1863 0.2190081775188446 589.2464599609375 584.604248046875 None None None +16 1864 0.21898725628852844 589.2529907226562 584.6111450195312 None None None +16 1865 0.21898214519023895 589.2706909179688 584.6290283203125 None None None +16 1866 0.21897803246974945 589.2741088867188 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0.21906065940856934 589.0776977539062 584.434326171875 None None None +16 1880 0.21904729306697845 589.0725708007812 584.4295043945312 None None None +16 1881 0.21910196542739868 589.0564575195312 584.4122314453125 None None None +16 1882 0.21916775405406952 589.0630493164062 584.4173583984375 None None None +16 1883 0.21916189789772034 589.0408935546875 584.3953857421875 None None None +16 1884 0.2191442847251892 589.0298461914062 584.3847045898438 None None None +16 1885 0.219136580824852 589.0473022460938 584.40234375 None None None +16 1886 0.21914388239383698 589.0143432617188 584.3692016601562 None None None +16 1887 0.21915605664253235 589.022216796875 584.3768310546875 None None None +16 1888 0.21915185451507568 589.0670166015625 584.4216918945312 None None None +16 1889 0.21912096440792084 589.0668334960938 584.4221801757812 None None None +16 1890 0.21912747621536255 589.0596313476562 584.4149169921875 None None None +16 1891 0.21913030743598938 589.0576782226562 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0.2191678285598755 589.1300659179688 584.4844360351562 None None None +16 1905 0.21913455426692963 589.0912475585938 584.4463500976562 None None None +16 1906 0.2191532403230667 589.078857421875 584.43359375 None None None +16 1907 0.21915879845619202 589.07666015625 584.4312744140625 None None None +16 1908 0.21922270953655243 589.0908813476562 584.4440307617188 None None None +16 1909 0.21918784081935883 589.1174926757812 584.471435546875 None None None +16 1910 0.21916909515857697 589.1254272460938 584.4797973632812 None None None +16 1911 0.21913915872573853 589.1353759765625 584.4902954101562 None None None +16 1912 0.21918901801109314 589.1271362304688 584.4810180664062 None None None +16 1913 0.21914522349834442 589.111083984375 584.4658813476562 None None None +16 1914 0.21917983889579773 589.1495971679688 584.503662109375 None None None +16 1915 0.21917808055877686 589.147705078125 584.5017700195312 None None None +16 1916 0.219160258769989 589.1728515625 584.5272827148438 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0.21922016143798828 589.0468139648438 584.3997802734375 None None None +16 1943 0.21919994056224823 589.0795288085938 584.4329223632812 None None None +16 1944 0.21921339631080627 589.05810546875 584.4111938476562 None None None +16 1945 0.21918287873268127 589.063720703125 584.41748046875 None None None +16 1946 0.21914850175380707 589.0784912109375 584.4329223632812 None None None +16 1947 0.21914321184158325 589.0875244140625 584.4420776367188 None None None +16 1948 0.21913321316242218 589.0654907226562 584.4202880859375 None None None +16 1949 0.21912381052970886 589.0526123046875 584.4075317382812 None None None +16 1950 0.2191283255815506 589.0643920898438 584.4192504882812 None None None +16 1951 0.21910415589809418 589.0967407226562 584.4520874023438 None None None +16 1952 0.21919897198677063 589.0363159179688 584.3895874023438 None None None +16 1953 0.21917347609996796 589.0654907226562 584.4193115234375 None None None +16 1954 0.21918821334838867 589.037109375 584.390625 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584.4790649414062 None None None +16 2422 0.22036230564117432 589.1278686523438 584.4568481445312 None None None +16 2423 0.22037188708782196 589.1079711914062 584.436767578125 None None None +16 2424 0.22038307785987854 589.133056640625 584.4616088867188 None None None +16 2425 0.2203873097896576 589.1397705078125 584.46826171875 None None None +16 2426 0.22037933766841888 589.1447143554688 584.4733276367188 None None None +16 2427 0.2204192578792572 589.1251220703125 584.4529418945312 None None None +16 2428 0.2204199731349945 589.1189575195312 584.4467163085938 None None None +16 2429 0.22041387856006622 589.11962890625 584.447509765625 None None None +16 2430 0.2204388976097107 589.1184692382812 584.44580078125 None None None +16 2431 0.22043365240097046 589.1151123046875 584.4425659179688 None None None +16 2432 0.22042199969291687 589.1011352539062 584.4288330078125 None None None +16 2433 0.22043931484222412 589.0778198242188 584.4051513671875 None None None +16 2434 0.22044377028942108 589.0814208984375 584.40869140625 None None None +16 2435 0.2204156517982483 589.0733642578125 584.4011840820312 None None None +16 2436 0.22036796808242798 589.0869750976562 584.4158325195312 None None None +16 2437 0.22035834193229675 589.1204833984375 584.4495239257812 None None None diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.bias_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..11ebb072dc11017e6746961876a7477bf63bd73a --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 02:21:55.084106: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:57.351509: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:57.354758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 02:21:58.086105: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:58.086205: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:58.109751: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:58.109813: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:58.118937: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:58.123184: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:58.138329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:58.142387: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:58.143273: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.175887: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.176358: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 02:21:58.177898: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:21:58.199355: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:8a:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.15GiB deviceMemoryBandwidth: 1.85TiB/s +2023-07-15 02:21:58.199414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:21:58.199453: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:21:58.199483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:21:58.199509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:21:58.199535: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:21:58.199559: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:21:58.199584: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:21:58.199609: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:21:58.231605: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:21:58.233398: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:01.278097: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 02:22:01.278204: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 02:22:01.278217: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 02:22:01.286198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75650 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:8a:00.0, compute capability: 8.0) +2023-07-15 02:22:02.518829: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.bias_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..493d0a8a7d50f7b875a15d3b3db140eebe678d31 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/new_model_formats/bias_model_scaled diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet.params.json b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..0122fddda0d6a85f9c89e09f11a65265e7d6c0b9 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "21.2", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_data_params.tsv b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..f427ce905aa875287662b50ad1208622c5e9a174 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 15.0 +counts_sum_max_thresh 2799.0 +trainings_pts_post_thresh 169718 diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f30b637e45d919f1fe96f1f3afaace790fe96fe --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 01:18:00.040731: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.142811: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.147452: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 01:18:03.179107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.179222: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.208898: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.209053: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.224148: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.230490: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.254330: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.260446: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.261668: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.263582: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.263926: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 01:18:03.264810: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.265065: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:04:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.265097: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.265123: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.265146: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.265169: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.265190: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.265212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.265234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.265255: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.265615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.266928: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:05.098623: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 01:18:05.098716: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 01:18:05.098734: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 01:18:05.101839: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:04:00.0, compute capability: 6.0) +2023-07-15 01:18:07.483346: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..1979c4d6a835bf050a33f8cb1a0247fd86087367 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/new_model_formats/chrombpnet diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_model_params.tsv b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..c3c2d10ee87aa45e3f37fc1a31bff4e1cd504220 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 21.2 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_3.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dd010dfd56139a8f2bff0818725b6f68f11b4df --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/new_model_formats/chrombpnet_wo_bias diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dd010dfd56139a8f2bff0818725b6f68f11b4df --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3/new_model_formats/chrombpnet_wo_bias diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.epoch_loss.csv b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..abd9b9b1d1ee81b4403703b975a8b1178bf922a2 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.epoch_loss.csv @@ -0,0 +1,18 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,1.6560207605361938,658.3788452148438,693.4866943359375,0.46956750750541687,629.2319946289062,639.1868286132812 +1,0.44168561697006226,629.0159301757812,638.3798217773438,0.4114483594894409,623.5172729492188,632.2401123046875 +2,0.4005409777164459,620.3033447265625,628.794677734375,0.3678317666053772,611.5390625,619.3372802734375 +3,0.375550776720047,615.5516967773438,623.5137329101562,0.3369198143482208,610.6435546875,617.7861328125 +4,0.3516494631767273,611.112548828125,618.5667724609375,0.32648369669914246,605.4342651367188,612.3557739257812 +5,0.3375852406024933,607.9188232421875,615.0761108398438,0.3356614410877228,603.1600952148438,610.2761840820312 +6,0.3238374888896942,605.3812866210938,612.2467041015625,0.3126186430454254,602.7744750976562,609.4019775390625 +7,0.3101024627685547,604.1094360351562,610.6834106445312,0.3075876235961914,605.174072265625,611.69482421875 +8,0.29967913031578064,601.8421020507812,608.1954345703125,0.2993074655532837,606.3482055664062,612.6934814453125 +9,0.29267942905426025,600.2156372070312,606.420166015625,0.29262009263038635,603.1470947265625,609.350830078125 +10,0.28418681025505066,598.3312377929688,604.3561401367188,0.2933513820171356,609.5803833007812,615.7996215820312 +11,0.27854347229003906,597.6748657226562,603.579833984375,0.3191700875759125,600.0144653320312,606.781005859375 +12,0.2693634033203125,596.47802734375,602.1884155273438,0.30009597539901733,601.2557983398438,607.6181030273438 +13,0.26413121819496155,595.234130859375,600.833984375,0.2920461893081665,606.6870727539062,612.8782348632812 +14,0.2579134404659271,594.1275634765625,599.596923828125,0.28455716371536255,604.1464233398438,610.1795043945312 +15,0.23045499622821808,587.6061401367188,592.49169921875,0.2910424470901489,603.912353515625,610.0825805664062 +16,0.22035834193229675,584.4495239257812,589.1204833984375,0.293423056602478,602.0164794921875,608.23681640625 diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stderr.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc374c5db9bfbc4313aa51516d7ddea7b6e635d3 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stderr.txt @@ -0,0 +1,332 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2022-10-12 22:29:00.836447: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:28.840427: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:35:28.843933: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:35:29.077514: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:35:29.077641: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:29.099254: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:35:29.099467: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:35:29.114657: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:35:29.122146: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:35:29.140645: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:35:29.144855: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:35:29.145903: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:35:29.150071: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:35:29.150390: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:35:29.151106: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:35:29.152720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:35:29.152749: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:29.152770: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:35:29.152784: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:35:29.152797: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:35:29.152809: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:35:29.152820: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:35:29.152831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:35:29.152843: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:35:29.155924: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:35:29.157027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:30.825443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:35:30.825531: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:35:30.825544: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:35:30.830741: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +2022-10-12 22:35:32.807218: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:35:32.819169: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-12 22:35:33.013075: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:35:34.474960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:35:34.484239: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:06.959646: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:08.628567: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:36:08.629532: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:36:08.778411: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:36:08.778502: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:08.780947: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:36:08.781002: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:36:08.782102: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:36:08.782395: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:36:08.784626: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:36:08.785187: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:36:08.785473: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:08.787186: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:36:08.787488: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:36:08.787557: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:36:08.788383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:36:08.788408: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:08.788425: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:36:08.788438: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:36:08.788450: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:36:08.788462: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:36:08.788473: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:36:08.788484: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:36:08.788495: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:08.789984: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:36:08.790016: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:09.330234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:36:09.330332: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:36:09.330347: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:36:09.332943: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +2022-10-12 22:41:58.850352: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:41:58.850760: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-12 22:42:00.388419: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:42:00.948565: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:42:00.970934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:42:04.596993: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2022-10-13 00:27:52.968618: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:27:55.953647: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:27:55.955269: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:27:56.160414: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:27:56.160522: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:27:56.163329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:27:56.163438: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:27:56.164687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:27:56.165179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:27:56.170177: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:27:56.172107: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:27:56.173331: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:27:56.175947: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:27:56.176923: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:27:56.177181: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:27:56.178460: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:27:56.178566: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:27:56.178677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:27:56.178747: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:27:56.178788: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:27:56.178824: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:27:56.178853: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:27:56.178873: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:27:56.178896: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:27:56.180878: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:27:56.180980: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:27:56.742806: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:27:56.742898: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:27:56.742912: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:27:56.745541: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +2022-10-13 00:29:47.206278: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:29:47.209858: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:29:47.299177: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:29:47.843245: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:29:47.845414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 00:32:02.787149: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:32:05.526996: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:32:05.528539: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:32:05.736886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:32:05.736992: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:32:05.739708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:32:05.739815: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:32:05.741037: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:32:05.741429: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:32:05.743884: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:32:05.744566: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:32:05.744976: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:32:05.746751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:32:05.747102: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:32:05.747184: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:32:05.748047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:32:05.748088: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:32:05.748117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:32:05.748134: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:32:05.748148: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:32:05.748162: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:32:05.748175: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:32:05.748190: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:32:05.748205: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:32:05.749883: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:32:05.749933: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:32:06.325108: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:32:06.325392: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:32:06.325425: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:32:06.328889: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 00:33:28.225758: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:33:28.230599: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:33:28.288855: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:33:28.819816: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:33:28.823365: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 00:35:32.969489: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:35:35.753880: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:35:35.755388: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:35:35.960728: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:35:35.960831: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:35:35.963509: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:35:35.963593: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:35:35.964761: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:35:35.965138: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:35:35.967571: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:35:35.968217: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:35:35.968594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:35:35.970309: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:35:35.970639: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:35:35.970720: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:35:35.971578: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:35:35.971611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:35:35.971654: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:35:35.971674: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:35:35.971690: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:35:35.971706: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:35:35.971721: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:35:35.971738: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:35:35.971755: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:35:35.973313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:35:35.973351: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:35:36.551187: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:35:36.551315: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:35:36.551329: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:35:36.553989: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +2022-10-13 00:36:59.084391: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:36:59.085965: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:36:59.116628: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:36:59.640488: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:36:59.642243: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 00:38:07.956042: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:38:09.351560: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:38:09.352860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:38:09.566971: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:38:09.621583: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:38:09.624282: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:38:09.624371: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:38:09.625543: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:38:09.625884: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:38:09.628227: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:38:09.628774: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:38:09.629106: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:38:09.630727: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:38:09.631012: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:38:09.631091: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:38:09.631887: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:38:09.631914: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:38:09.631932: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:38:09.631947: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:38:09.631961: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:38:09.631974: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:38:09.631987: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:38:09.632001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:38:09.632015: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:38:09.633498: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:38:09.633533: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:38:10.113944: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:38:10.114044: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:38:10.114057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:38:10.116757: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 00:38:24.738645: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:38:24.739248: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:38:24.955203: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:38:25.557495: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:38:25.559241: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_3//footprints’: File exists +2022-10-13 00:40:05.807618: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:40:07.290367: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:40:07.291445: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:40:07.496846: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:40:07.497174: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:40:07.503393: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:40:07.503677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:40:07.506213: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:40:07.507086: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:40:07.512152: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:40:07.513603: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:40:07.514490: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:40:07.516832: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:40:07.517327: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:40:07.517459: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:40:07.518374: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:41:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:40:07.518414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:40:07.518438: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:40:07.518453: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:40:07.518467: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:40:07.518481: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:40:07.518494: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:40:07.518507: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:40:07.518521: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:40:07.520075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:40:07.520113: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:40:08.125700: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:40:08.125789: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:40:08.125802: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:40:08.128419: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:41:00.0, compute capability: 8.0) +2022-10-13 00:40:23.769476: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:40:23.770029: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:40:23.921812: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:40:24.523023: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:40:24.524571: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stdout.txt b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f5577f5d85e12d766cbfb659d9ceb642c5d0130 --- /dev/null +++ b/fold_3/logs.models.fold_3.ENCSR417LPB/logfile.modelling.fold_3.ENCSR417LPB.stdout.txt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR417LPB.tar new file mode 100644 index 0000000000000000000000000000000000000000..6673f5ce8f259a396858efe43eb720089a5cb0ec --- /dev/null +++ b/fold_3/model.chrombpnet_nobias.fold_3.ENCSR417LPB.tar @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11249e01d1648270acaaf8f2f905f5a2855fb63a00a2158d49ab0317b6793598 +size 26081280 diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.args.json b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.args.json new file mode 100644 index 0000000000000000000000000000000000000000..4159aa2278f882faf77050079c4be7f29baaf1e4 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.args.json @@ -0,0 +1,23 @@ +{ + "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa", + "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig", + "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed", + "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed", + "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json", + "trackables": [ + "logcount_predictions_loss", + "loss", + "logits_profile_predictions_loss", + "val_logcount_predictions_loss", + "val_loss", + "val_logits_profile_predictions_loss" + ], + "epochs": 50, + "early_stop": 5, + "batch_size": 64, + "learning_rate": 0.001, + "params": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_model_params.tsv", + "seed": 1234, + "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" +} \ No newline at end of file diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.batch_loss.tsv b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.batch_loss.tsv new file mode 100644 index 0000000000000000000000000000000000000000..0ad33394acacf5ba4398bb4866cb0667a6889a47 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.batch_loss.tsv @@ -0,0 +1,32332 @@ +Epoch Batch logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +0 0 2.7538485527038574 789.0362548828125 732.0316162109375 None None None +0 1 18.192100524902344 1120.92724609375 744.350830078125 None None None +0 2 13.00876522064209 1002.8123168945312 733.531005859375 None None None +0 3 10.414163589477539 939.4506225585938 723.8775024414062 None None None +0 4 8.837987899780273 898.8709716796875 715.9246826171875 None None None +0 5 7.914346218109131 889.5277709960938 725.7007446289062 None None None +0 6 7.178651332855225 877.1323852539062 728.5343017578125 None None None +0 7 6.574740409851074 856.0711669921875 719.9739990234375 None None None +0 8 6.183159828186035 858.0726928710938 730.081298828125 None None None +0 9 5.793471813201904 839.5281982421875 719.6033325195312 None None None +0 10 5.537206649780273 838.2998657226562 723.6796875 None None None +0 11 5.272937774658203 829.676025390625 720.5261840820312 None None None +0 12 5.05794620513916 822.2794189453125 717.5799560546875 None None None +0 13 4.848197937011719 809.4044799804688 709.0468139648438 None None None +0 14 4.706953048706055 807.2617797851562 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1.163501501083374 667.896240234375 643.8126220703125 None None None +0 1901 1.163105845451355 667.8077392578125 643.7322998046875 None None None +0 1902 1.1626341342926025 667.765380859375 643.69970703125 None None None +0 1903 1.1622422933578491 667.7564086914062 643.6987915039062 None None None +0 1904 1.1618841886520386 667.7384643554688 643.6882934570312 None None None +0 1905 1.161582589149475 667.7020263671875 643.6580810546875 None None None +0 1906 1.161152958869934 667.6757202148438 643.640625 None None None +0 1907 1.1608288288116455 667.6593627929688 643.6309814453125 None None None +0 1908 1.1604604721069336 667.6248168945312 643.6040649414062 None None None +0 1909 1.1601380109786987 667.6138305664062 643.5997314453125 None None None +0 1910 1.1597373485565186 667.5964965820312 643.5907592773438 None None None +0 1911 1.159371256828308 667.5208129882812 643.5226440429688 None None None +0 1912 1.1589852571487427 667.4979248046875 643.5078125 None None None +0 1913 1.1586369276046753 667.4727172851562 643.4898071289062 None None None +0 1914 1.1582210063934326 667.4070434570312 643.4328002929688 None None None +0 1915 1.1578762531280518 667.395263671875 643.4281005859375 None None None +0 1916 1.157584309577942 667.415771484375 643.4547119140625 None None None +0 1917 1.1572420597076416 667.4547119140625 643.500732421875 None None None +0 1918 1.1568453311920166 667.4129028320312 643.4671020507812 None None None +0 1919 1.1564356088638306 667.3704833984375 643.4331665039062 None None None +0 1920 1.1560111045837402 667.3331298828125 643.404541015625 None None None +0 1921 1.1555932760238647 667.3286743164062 643.4087524414062 None None None +0 1922 1.1552578210830688 667.330078125 643.4171752929688 None None None +0 1923 1.1548547744750977 667.2862548828125 643.3817138671875 None None None +0 1924 1.1544697284698486 667.2968139648438 643.4002685546875 None None None +0 1925 1.1542010307312012 667.2987060546875 643.40771484375 None None None +0 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1.1494795083999634 666.9216918945312 643.1284790039062 None None None +0 1940 1.149107813835144 666.9149169921875 643.12939453125 None None None +0 1941 1.148784875869751 666.9346923828125 643.1558227539062 None None None +0 1942 1.1484380960464478 666.92578125 643.1541748046875 None None None +0 1943 1.1481748819351196 666.9312744140625 643.1651611328125 None None None +0 1944 1.1478067636489868 666.8988037109375 643.1402587890625 None None None +0 1945 1.1474359035491943 666.8853759765625 643.1344604492188 None None None +0 1946 1.1471987962722778 666.8568725585938 643.1109619140625 None None None +0 1947 1.1469135284423828 666.8312377929688 643.0911865234375 None None None +0 1948 1.1465258598327637 666.794921875 643.0628662109375 None None None +0 1949 1.146121621131897 666.7938842773438 643.0701904296875 None None None +0 1950 1.1457927227020264 666.7916870117188 643.0748291015625 None None None +0 1951 1.1454559564590454 666.7999267578125 643.0900268554688 None None None +0 1952 1.1451263427734375 666.8026123046875 643.0995483398438 None None None +0 1953 1.144728660583496 666.7691650390625 643.0743408203125 None None None +0 1954 1.1443159580230713 666.736083984375 643.0497436523438 None None None +0 1955 1.1439636945724487 666.7276000976562 643.048583984375 None None None +0 1956 1.143572211265564 666.7478637695312 643.0769653320312 None None None +0 1957 1.143163800239563 666.7295532226562 643.0670776367188 None None None +0 1958 1.1427775621414185 666.6793212890625 643.0248413085938 None None None +0 1959 1.1424168348312378 666.6465454101562 642.9995727539062 None None None +0 1960 1.1419973373413086 666.6610107421875 643.022705078125 None None None +0 1961 1.1416171789169312 666.641845703125 643.0113525390625 None None None +0 1962 1.1412403583526611 666.6101684570312 642.9874877929688 None None None +0 1963 1.1408721208572388 666.5596923828125 642.9446411132812 None None None +0 1964 1.14048433303833 666.5914306640625 642.984375 None None None +0 1965 1.1401134729385376 666.5647583007812 642.9653930664062 None None None +0 1966 1.1396981477737427 666.557861328125 642.9671020507812 None None None +0 1967 1.1393903493881226 666.5283203125 642.94384765625 None None None +0 1968 1.138975977897644 666.5118408203125 642.93603515625 None None None +0 1969 1.1386104822158813 666.4981079101562 642.9298095703125 None None None +0 1970 1.138216257095337 666.5220947265625 642.9619750976562 None None None +0 1971 1.1378543376922607 666.4752807617188 642.922607421875 None None None +0 1972 1.1375982761383057 666.4832763671875 642.9359741210938 None None None +0 1973 1.1371928453445435 666.416015625 642.8770751953125 None None None +0 1974 1.1368415355682373 666.3978881835938 642.8662719726562 None None None +0 1975 1.136459469795227 666.4042358398438 642.8804931640625 None None None +0 1976 1.1360816955566406 666.4487915039062 642.9329223632812 None None None +0 1977 1.1357221603393555 666.4230346679688 642.9146118164062 None None None +0 1978 1.135336995124817 666.4501953125 642.9497680664062 None None None +0 1979 1.1349302530288696 666.4151611328125 642.923095703125 None None None +0 1980 1.1345508098602295 666.3875122070312 642.9032592773438 None None None +0 1981 1.1341015100479126 666.3215942382812 642.8466796875 None None None +0 1982 1.1337140798568726 666.3160400390625 642.8492431640625 None None None +0 1983 1.1334398984909058 666.3212280273438 642.8600463867188 None None None +0 1984 1.1330093145370483 666.31689453125 642.8646240234375 None None None +0 1985 1.132684350013733 666.3382568359375 642.8927001953125 None None None +0 1986 1.1323661804199219 666.281005859375 642.842041015625 None None None +0 1987 1.1320396661758423 666.2256469726562 642.7933959960938 None None None +0 1988 1.1316792964935303 666.2190551757812 642.7942504882812 None None None +0 1989 1.1313458681106567 666.1951904296875 642.77734375 None None None +0 1990 1.1309324502944946 666.1503295898438 642.7410278320312 None None None +0 1991 1.1306637525558472 666.1337280273438 642.7299194335938 None None None +0 1992 1.1302587985992432 666.1782836914062 642.7828979492188 None None None +0 1993 1.1299786567687988 666.176025390625 642.786376953125 None None None +0 1994 1.129601001739502 666.1182861328125 642.7363891601562 None None None +0 1995 1.1292530298233032 666.0859985351562 642.7113037109375 None None None +0 1996 1.1289106607437134 666.0226440429688 642.655029296875 None None None +0 1997 1.1285911798477173 665.9732055664062 642.6121826171875 None None None +0 1998 1.128273606300354 665.9301147460938 642.57568359375 None None None +0 1999 1.1280194520950317 665.9522705078125 642.6030883789062 None None None +0 2000 1.127648115158081 665.975341796875 642.6337890625 None None None +0 2001 1.1273492574691772 665.9754028320312 642.6400146484375 None None None +0 2002 1.1270414590835571 665.9757080078125 642.6466674804688 None None None +0 2003 1.1267330646514893 665.9554443359375 642.6328125 None None None +0 2004 1.126336693763733 665.8887329101562 642.5743408203125 None None None +0 2005 1.1260013580322266 665.8471069335938 642.5396118164062 None None None +0 2006 1.1257747411727905 665.8287963867188 642.5259399414062 None None None +0 2007 1.1255216598510742 665.8095092773438 642.511962890625 None None None +0 2008 1.1251306533813477 665.830322265625 642.5408935546875 None None None +0 2009 1.12478768825531 665.843017578125 642.5606689453125 None None None +0 2010 1.1244421005249023 665.842041015625 642.5668334960938 None None None +0 2011 1.1241360902786255 665.8052368164062 642.5363159179688 None None None +0 2012 1.1239392757415771 665.7655639648438 642.5007934570312 None None None +0 2013 1.1236610412597656 665.7680053710938 642.5089111328125 None None None +0 2014 1.1233114004135132 665.7288208007812 642.47705078125 None None None +0 2015 1.1229749917984009 665.7055053710938 642.4607543945312 None None None +0 2016 1.1227220296859741 665.6927490234375 642.4532470703125 None None None +0 2017 1.1224565505981445 665.6691284179688 642.4351196289062 None None None +0 2018 1.1222126483917236 665.6775512695312 642.4486083984375 None None None +0 2019 1.1218949556350708 665.6475219726562 642.4251098632812 None None None +0 2020 1.1215900182724 665.6434326171875 642.4273071289062 None None None +0 2021 1.121303915977478 665.620361328125 642.41015625 None None None +0 2022 1.1210246086120605 665.6209716796875 642.41650390625 None None None +0 2023 1.1207762956619263 665.5924682617188 642.3931884765625 None None None +0 2024 1.1204655170440674 665.5762329101562 642.3833618164062 None None None +0 2025 1.120069146156311 665.5313110351562 642.3467407226562 None None None +0 2026 1.1197782754898071 665.5425415039062 642.364013671875 None None None +0 2027 1.1195553541183472 665.52783203125 642.35400390625 None None None +0 2028 1.119216799736023 665.5300903320312 642.3632202148438 None None None +0 2029 1.1189011335372925 665.5390625 642.378662109375 None None None +0 2030 1.118631362915039 665.5521240234375 642.3972778320312 None None None +0 2031 1.1183545589447021 665.568603515625 642.4195556640625 None None None +0 2032 1.1180074214935303 665.5674438476562 642.425537109375 None None None +0 2033 1.1177003383636475 665.5409545898438 642.4054565429688 None None None +0 2034 1.117362141609192 665.5114135742188 642.3829345703125 None None None +0 2035 1.1170964241027832 665.4828491210938 642.35986328125 None None None +0 2036 1.1168029308319092 665.4424438476562 642.3256225585938 None None None +0 2037 1.1165330410003662 665.3977661132812 642.2864990234375 None None None +0 2038 1.1162282228469849 665.3607177734375 642.2557373046875 None None None +0 2039 1.1159478425979614 665.3309326171875 642.2317504882812 None None None +0 2040 1.115736961364746 665.3129272460938 642.2181396484375 None None None +0 2041 1.1154148578643799 665.3032836914062 642.2151489257812 None None None +0 2042 1.115114450454712 665.2748413085938 642.1929931640625 None None None +0 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None +5 1952 0.3106934130191803 599.6823120117188 593.2498168945312 None None None +5 1953 0.3106616735458374 599.6725463867188 593.2406616210938 None None None +5 1954 0.31063368916511536 599.6753540039062 593.244140625 None None None +5 1955 0.3105843663215637 599.7123413085938 593.2821044921875 None None None +5 1956 0.3105703592300415 599.7080688476562 593.2781372070312 None None None +5 1957 0.3105865716934204 599.703125 593.2728881835938 None None None +5 1958 0.3105491101741791 599.6705932617188 593.2411499023438 None None None +5 1959 0.31057217717170715 599.671630859375 593.24169921875 None None None +5 1960 0.3105691075325012 599.6593627929688 593.2294311523438 None None None +5 1961 0.31052717566490173 599.6720581054688 593.2431030273438 None None None +5 1962 0.31054186820983887 599.6940307617188 593.2647094726562 None None None +5 1963 0.31056615710258484 599.6940307617188 593.2642822265625 None None None +5 1964 0.3105500042438507 599.7099609375 593.2805786132812 None None None +5 1965 0.3105338215827942 599.6610717773438 593.2319946289062 None None None +5 1966 0.310525506734848 599.6256713867188 593.1968383789062 None None None +5 1967 0.3104948103427887 599.6204223632812 593.192138671875 None None None +5 1968 0.3104759454727173 599.6185302734375 593.190673828125 None None None +5 1969 0.310431569814682 599.6328125 593.2058715820312 None None None +5 1970 0.3103778660297394 599.6423950195312 593.216552734375 None None None +5 1971 0.31039220094680786 599.6452026367188 593.2190551757812 None None None +5 1972 0.3103488087654114 599.6142578125 593.1890258789062 None None None +5 1973 0.3103763461112976 599.5902099609375 593.1643676757812 None None None +5 1974 0.3103874623775482 599.6082153320312 593.18212890625 None None None +5 1975 0.31041547656059265 599.597412109375 593.1707763671875 None None None +5 1976 0.31046655774116516 599.6118774414062 593.1841430664062 None None None +5 1977 0.3104616105556488 599.6315307617188 593.203857421875 None None None +5 1978 0.3104688227176666 599.5681762695312 593.140380859375 None None None +5 1979 0.3104405701160431 599.5485229492188 593.1212768554688 None None None +5 1980 0.3104593753814697 599.5504150390625 593.1227416992188 None None None +5 1981 0.3104945123195648 599.5321044921875 593.1036987304688 None None None +5 1982 0.3105202317237854 599.5413818359375 593.112548828125 None None None +5 1983 0.31050461530685425 599.500244140625 593.0717163085938 None None None +5 1984 0.3104802966117859 599.550048828125 593.1220092773438 None None None +5 1985 0.31047749519348145 599.550048828125 593.1220703125 None None None +5 1986 0.3104913830757141 599.5545043945312 593.1262817382812 None None None +5 1987 0.31049180030822754 599.5587158203125 593.1304321289062 None None None +5 1988 0.3104756474494934 599.6123657226562 593.1843872070312 None None None +5 1989 0.3105323910713196 599.5703125 593.1412353515625 None None None +5 1990 0.31051167845726013 599.5839233398438 593.1552734375 None None None +5 1991 0.3104839324951172 599.5477905273438 593.1197509765625 None None None +5 1992 0.3104468584060669 599.5167846679688 593.0895385742188 None None None +5 1993 0.31042227149009705 599.5068969726562 593.0801391601562 None None None +5 1994 0.3103911578655243 599.4955444335938 593.0694580078125 None None None +5 1995 0.31038492918014526 599.4791870117188 593.05322265625 None None None +5 1996 0.31041350960731506 599.5376586914062 593.111083984375 None None None +5 1997 0.3104093670845032 599.5172119140625 593.0906982421875 None None None +5 1998 0.3104274272918701 599.49267578125 593.0657348632812 None None None +5 1999 0.31038886308670044 599.46044921875 593.0343627929688 None None None +5 2000 0.31038281321525574 599.4514770507812 593.0254516601562 None None None +5 2001 0.31035229563713074 599.4673461914062 593.0419921875 None None None +5 2002 0.310342401266098 599.4623413085938 593.0372314453125 None None None +5 2003 0.3103199005126953 599.463134765625 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599.6693115234375 593.2462158203125 None None None +5 2017 0.31025949120521545 599.644775390625 593.2213134765625 None None None +5 2018 0.31022384762763977 599.5975341796875 593.1748046875 None None None +5 2019 0.31020814180374146 599.62158203125 593.1991577148438 None None None +5 2020 0.3102342188358307 599.6041870117188 593.1812744140625 None None None +5 2021 0.31027546525001526 599.5969848632812 593.173095703125 None None None +5 2022 0.3103131055831909 599.6016845703125 593.1770629882812 None None None +5 2023 0.31028446555137634 599.5660400390625 593.1419677734375 None None None +5 2024 0.3102833926677704 599.5680541992188 593.14404296875 None None None +5 2025 0.3103421926498413 599.5664672851562 593.1411743164062 None None None +5 2026 0.3104514181613922 599.5739135742188 593.1464233398438 None None None +5 2027 0.3104601502418518 599.5472412109375 593.11962890625 None None None +5 2028 0.3104046583175659 599.5309448242188 593.1044311523438 None None None +5 2029 0.3104015290737152 599.505615234375 593.0792236328125 None None None +5 2030 0.3104091286659241 599.488037109375 593.0615234375 None None None +5 2031 0.3104676306247711 599.5475463867188 593.1198120117188 None None None +5 2032 0.31047043204307556 599.570068359375 593.1422119140625 None None None +5 2033 0.3104662001132965 599.6017456054688 593.1740112304688 None None None +5 2034 0.3105336129665375 599.6276245117188 593.198486328125 None None None +5 2035 0.3105756938457489 599.6117553710938 593.1817016601562 None None None +5 2036 0.3105824291706085 599.6249389648438 593.1947631835938 None None None +5 2037 0.31055399775505066 599.6624145507812 593.2327880859375 None None None +5 2038 0.31056156754493713 599.6864624023438 593.2567138671875 None None None +5 2039 0.3105553388595581 599.6802978515625 593.250732421875 None None None +5 2040 0.31057482957839966 599.6832275390625 593.253173828125 None None None +5 2041 0.3105606436729431 599.6429443359375 593.2131958007812 None None None 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0.29147908091545105 594.806640625 588.7730102539062 None None None +7 1967 0.29146477580070496 594.79638671875 588.7630004882812 None None None +7 1968 0.2914319932460785 594.8057861328125 588.7730712890625 None None None +7 1969 0.29145514965057373 594.797119140625 588.763916015625 None None None +7 1970 0.2914678156375885 594.7938842773438 588.7603759765625 None None None +7 1971 0.29153314232826233 594.7865600585938 588.7517700195312 None None None +7 1972 0.29156744480133057 594.780517578125 588.7449951171875 None None None +7 1973 0.29154708981513977 594.75537109375 588.72021484375 None None None +7 1974 0.29151928424835205 594.7645874023438 588.7299194335938 None None None +7 1975 0.29152733087539673 594.7418212890625 588.70703125 None None None +7 1976 0.2915953993797302 594.7295532226562 588.693359375 None None None +7 1977 0.2916775047779083 594.7303466796875 588.6924438476562 None None None +7 1978 0.2917134463787079 594.7383422851562 588.6995849609375 None None None +7 1979 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587.4065551757812 None None None +8 1947 0.2848944664001465 593.3076171875 587.4105224609375 None None None +8 1948 0.28487730026245117 593.3125 587.415771484375 None None None +8 1949 0.2849615514278412 593.3289184570312 587.4304809570312 None None None +8 1950 0.28490114212036133 593.3423461914062 587.4451904296875 None None None +8 1951 0.28488314151763916 593.3289794921875 587.43212890625 None None None +8 1952 0.28497031331062317 593.349365234375 587.4507446289062 None None None +8 1953 0.2850295603275299 593.3370361328125 587.4371337890625 None None None +8 1954 0.2850644886493683 593.3170166015625 587.4163818359375 None None None +8 1955 0.2850892245769501 593.3024291992188 587.4013061523438 None None None +8 1956 0.2851046919822693 593.3367309570312 587.4352416992188 None None None +8 1957 0.28510087728500366 593.3417358398438 587.4403076171875 None None None +8 1958 0.28508424758911133 593.3983764648438 587.497314453125 None None None +8 1959 0.2850666344165802 593.4164428710938 587.5156860351562 None None None +8 1960 0.2850423753261566 593.41455078125 587.5143432617188 None None None +8 1961 0.2851313054561615 593.404541015625 587.5025024414062 None None None +8 1962 0.2851337194442749 593.4410400390625 587.5390014648438 None None None +8 1963 0.28512272238731384 593.4536743164062 587.5518188476562 None None None +8 1964 0.2851288914680481 593.4675903320312 587.5656127929688 None None None +8 1965 0.2851574420928955 593.4891967773438 587.586669921875 None None None +8 1966 0.28514131903648376 593.4886474609375 587.58642578125 None None None +8 1967 0.2851994037628174 593.5374145507812 587.6339721679688 None None None +8 1968 0.2851989269256592 593.5440063476562 587.640625 None None None +8 1969 0.2851661443710327 593.5303955078125 587.627685546875 None None None +8 1970 0.2851184904575348 593.5283203125 587.6265869140625 None None None +8 1971 0.2851395308971405 593.5137329101562 587.611572265625 None None None +8 1972 0.2851456105709076 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0.28513067960739136 593.3223876953125 587.4204711914062 None None None +8 1986 0.2850826382637024 593.2957153320312 587.3947143554688 None None None +8 1987 0.2850658595561981 593.2927856445312 587.39208984375 None None None +8 1988 0.28508785367012024 593.3373413085938 587.4361572265625 None None None +8 1989 0.2850513160228729 593.35546875 587.455078125 None None None +8 1990 0.28500762581825256 593.3301391601562 587.4306640625 None None None +8 1991 0.28497815132141113 593.338134765625 587.4392700195312 None None None +8 1992 0.28494733572006226 593.3338623046875 587.4356689453125 None None None +8 1993 0.2849581837654114 593.3372192382812 587.4387817382812 None None None +8 1994 0.28494173288345337 593.3562622070312 587.4581298828125 None None None +8 1995 0.2849048972129822 593.3404541015625 587.443115234375 None None None +8 1996 0.28483664989471436 593.3327026367188 587.4368286132812 None None None +8 1997 0.28480491042137146 593.3497314453125 587.4544677734375 None None None +8 1998 0.2848474383354187 593.3817749023438 587.4856567382812 None None None +8 1999 0.2848827838897705 593.3841552734375 587.4872436523438 None None None +8 2000 0.2848512530326843 593.39990234375 587.503662109375 None None None +8 2001 0.284862220287323 593.4186401367188 587.5220947265625 None None None +8 2002 0.2848871648311615 593.4164428710938 587.5194702148438 None None None +8 2003 0.2848757803440094 593.427490234375 587.53076171875 None None None +8 2004 0.28485721349716187 593.4287109375 587.5323486328125 None None None +8 2005 0.2848338484764099 593.4151000976562 587.519287109375 None None None +8 2006 0.2848615050315857 593.3801879882812 587.4838256835938 None None None +8 2007 0.28480738401412964 593.3795166015625 587.4842529296875 None None None +8 2008 0.28479936718940735 593.37890625 587.4838256835938 None None None +8 2009 0.284782737493515 593.384033203125 587.4893188476562 None None None +8 2010 0.28482502698898315 593.4228515625 587.5272216796875 None None None +8 2011 0.28479182720184326 593.456787109375 587.5618896484375 None None None +8 2012 0.2848373055458069 593.45654296875 587.5606689453125 None None None +8 2013 0.28489503264427185 593.446044921875 587.5489501953125 None None None +8 2014 0.2849249541759491 593.4821166992188 587.5844116210938 None None None +8 2015 0.28490039706230164 593.4572143554688 587.5599975585938 None None None +8 2016 0.2848810851573944 593.4677124023438 587.5709228515625 None None None +8 2017 0.28485962748527527 593.46826171875 587.5719604492188 None None None +8 2018 0.2848694622516632 593.4649047851562 587.5684204101562 None None None +8 2019 0.2848525941371918 593.445556640625 587.5493774414062 None None None +8 2020 0.2848752439022064 593.4422607421875 587.545654296875 None None None +8 2021 0.28484565019607544 593.4697875976562 587.5738525390625 None None None +8 2022 0.2848502993583679 593.4534912109375 587.5574951171875 None None None +8 2023 0.28480687737464905 593.4305419921875 587.5354614257812 None None None +8 2024 0.28485414385795593 593.4519653320312 587.555908203125 None None None +8 2025 0.28481799364089966 593.4595336914062 587.5642700195312 None None None +8 2026 0.28483787178993225 593.454345703125 587.55859375 None None None +8 2027 0.2848299741744995 593.4249877929688 587.5294189453125 None None None +8 2028 0.284794420003891 593.4029541015625 587.5081787109375 None None None +8 2029 0.2847643494606018 593.4017333984375 587.5075073242188 None None None +8 2030 0.28475335240364075 593.3682861328125 587.4743041992188 None None None +8 2031 0.2847508490085602 593.3764038085938 587.482421875 None None None +8 2032 0.28476667404174805 593.3670654296875 587.4727783203125 None None None +8 2033 0.284725159406662 593.377197265625 587.4837036132812 None None None +8 2034 0.2847645878791809 593.3662719726562 587.4719848632812 None None None +8 2035 0.28484147787094116 593.3828125 587.4869995117188 None None None +8 2036 0.2848382890224457 593.3773193359375 587.4815673828125 None 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0.28489309549331665 593.3477783203125 587.4508666992188 None None None +8 2076 0.2849080562591553 593.3319702148438 587.4347534179688 None None None +8 2077 0.2849009037017822 593.3204345703125 587.42333984375 None None None +8 2078 0.28488799929618835 593.2921142578125 587.395263671875 None None None +8 2079 0.28487125039100647 593.3206787109375 587.4242553710938 None None None +8 2080 0.28483787178993225 593.3772583007812 587.4814453125 None None None +8 2081 0.28482934832572937 593.36181640625 587.4661865234375 None None None +8 2082 0.28480616211891174 593.3296508789062 587.4345092773438 None None None +8 2083 0.2847962975502014 593.3370361328125 587.4420776367188 None None None +8 2084 0.28481703996658325 593.3548583984375 587.45947265625 None None None +8 2085 0.28482910990715027 593.3368530273438 587.4412231445312 None None None +8 2086 0.2848209738731384 593.3016357421875 587.40625 None None None +8 2087 0.28479355573654175 593.3010864257812 587.4061889648438 None None None +8 2088 0.2847786843776703 593.309814453125 587.4152221679688 None None None +8 2089 0.2848067879676819 593.30322265625 587.4080200195312 None None None +8 2090 0.2848590314388275 593.2864379882812 587.3901977539062 None None None +8 2091 0.2848690152168274 593.2850952148438 587.3886108398438 None None None +8 2092 0.2848154306411743 593.2294311523438 587.3340454101562 None None None +8 2093 0.2847992479801178 593.258056640625 587.363037109375 None None None +8 2094 0.28481805324554443 593.2548217773438 587.359375 None None None +8 2095 0.28487786650657654 593.2637329101562 587.3670654296875 None None None +8 2096 0.2849341034889221 593.230712890625 587.3328857421875 None None None +8 2097 0.2849404811859131 593.2055053710938 587.3075561523438 None None None +8 2098 0.28493139147758484 593.259521484375 587.3617553710938 None None None +8 2099 0.28490346670150757 593.2509155273438 587.353759765625 None None None +8 2100 0.28491178154945374 593.2318115234375 587.33447265625 None None None 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None +8 2114 0.28483715653419495 593.3175659179688 587.4218139648438 None None None +8 2115 0.2848398983478546 593.3211669921875 587.4253540039062 None None None +8 2116 0.28484055399894714 593.3048095703125 587.4089965820312 None None None +8 2117 0.284801721572876 593.276123046875 587.3810424804688 None None None +8 2118 0.2848098576068878 593.2952270507812 587.3999633789062 None None None +8 2119 0.28481391072273254 593.2993774414062 587.404052734375 None None None +8 2120 0.2847931683063507 593.2867431640625 587.3917846679688 None None None +8 2121 0.2848086357116699 593.2633666992188 587.3680419921875 None None None +8 2122 0.284850150346756 593.2166748046875 587.3206176757812 None None None +8 2123 0.28484463691711426 593.2297973632812 587.3338012695312 None None None +8 2124 0.2848690152168274 593.2154541015625 587.3189697265625 None None None +8 2125 0.2848624885082245 593.2139892578125 587.317626953125 None None None +8 2126 0.28485843539237976 593.2300415039062 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0.27503615617752075 592.4163208007812 586.7230224609375 None None None +9 1801 0.27502092719078064 592.4398803710938 586.7468872070312 None None None +9 1802 0.275062620639801 592.4556274414062 586.7617797851562 None None None +9 1803 0.27517157793045044 592.4479370117188 586.7518920898438 None None None +9 1804 0.2751442492008209 592.505126953125 586.8096313476562 None None None +9 1805 0.27516835927963257 592.5508422851562 586.8549194335938 None None None +9 1806 0.2752007842063904 592.5419921875 586.8453369140625 None None None +9 1807 0.2751489579677582 592.5565795898438 586.8609619140625 None None None +9 1808 0.27519935369491577 592.58740234375 586.8907470703125 None None None +9 1809 0.2751583456993103 592.5782470703125 586.8824462890625 None None None +9 1810 0.2751929759979248 592.5535888671875 586.8571166992188 None None None +9 1811 0.27514469623565674 592.51611328125 586.8206787109375 None None None +9 1812 0.27511605620384216 592.5293579101562 586.8345336914062 None None 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0.27509987354278564 592.0374145507812 586.3424072265625 None None None +9 2007 0.27509623765945435 592.0582885742188 586.3633422851562 None None None +9 2008 0.2750532925128937 592.046875 586.3528442382812 None None None +9 2009 0.27503275871276855 592.088134765625 586.39453125 None None None +9 2010 0.2750585377216339 592.0638427734375 586.3696899414062 None None None +9 2011 0.27509236335754395 592.0895385742188 586.3947143554688 None None None +9 2012 0.2750679552555084 592.1329345703125 586.4385986328125 None None None +9 2013 0.27504897117614746 592.1483764648438 586.4544677734375 None None None +9 2014 0.27500346302986145 592.1780395507812 586.4850463867188 None None None +9 2015 0.2750076651573181 592.1903076171875 586.4971923828125 None None None +9 2016 0.27503669261932373 592.1903686523438 586.4967041015625 None None None +9 2017 0.2750450670719147 592.2118530273438 586.5179443359375 None None None +9 2018 0.2750748097896576 592.2313842773438 586.5369262695312 None None None 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0.26872000098228455 591.0682983398438 585.5054321289062 None None None +10 1926 0.2687235176563263 591.05029296875 585.4873046875 None None None +10 1927 0.26874521374702454 591.0435180664062 585.4801025390625 None None None +10 1928 0.2687121033668518 591.0477294921875 585.4849853515625 None None None +10 1929 0.26872631907463074 591.05078125 585.4877319335938 None None None +10 1930 0.2686954736709595 591.0690307617188 585.5067138671875 None None None +10 1931 0.26870197057724 591.08642578125 585.52392578125 None None None +10 1932 0.26866671442985535 591.1461181640625 585.5843505859375 None None None +10 1933 0.26870137453079224 591.1051635742188 585.542724609375 None None None +10 1934 0.2686628997325897 591.1544189453125 585.5927124023438 None None None +10 1935 0.26863086223602295 591.1992797851562 585.6383056640625 None None None +10 1936 0.26861947774887085 591.1956176757812 585.6348266601562 None None None +10 1937 0.26862633228302 591.1618041992188 585.6008911132812 None None None +10 1938 0.2685904800891876 591.1710815429688 585.6109008789062 None None None +10 1939 0.26858505606651306 591.1729736328125 585.6129150390625 None None None +10 1940 0.26853063702583313 591.19287109375 585.6339111328125 None None None +10 1941 0.2685210108757019 591.1763916015625 585.61767578125 None None None +10 1942 0.26853302121162415 591.190185546875 585.6312866210938 None None None +10 1943 0.26849493384361267 591.1616821289062 585.6035766601562 None None None +10 1944 0.26852136850357056 591.1803588867188 585.6217041015625 None None None +10 1945 0.2684859335422516 591.213623046875 585.6557006835938 None None None +10 1946 0.2684687674045563 591.2198486328125 585.6622924804688 None None None +10 1947 0.26854515075683594 591.2063598632812 585.6471557617188 None None None +10 1948 0.26857006549835205 591.2037963867188 585.6441650390625 None None None +10 1949 0.26862844824790955 591.2198486328125 585.658935546875 None None None +10 1950 0.2686794102191925 591.1898193359375 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0.26896706223487854 591.3048706054688 585.73681640625 None None None +10 1964 0.26896077394485474 591.29638671875 585.7283935546875 None None None +10 1965 0.26891767978668213 591.3142700195312 585.7472534179688 None None None +10 1966 0.2689375579357147 591.3661499023438 585.7987060546875 None None None +10 1967 0.2689865529537201 591.4017333984375 585.833251953125 None None None +10 1968 0.2689959704875946 591.3743286132812 585.8056640625 None None None +10 1969 0.26896384358406067 591.3934326171875 585.825439453125 None None None +10 1970 0.26899388432502747 591.422119140625 585.8534545898438 None None None +10 1971 0.26898500323295593 591.4072875976562 585.8389282226562 None None None +10 1972 0.26905494928359985 591.407470703125 585.8375854492188 None None None +10 1973 0.26906922459602356 591.3959350585938 585.8258056640625 None None None +10 1974 0.2691033184528351 591.4214477539062 585.8505249023438 None None None +10 1975 0.26911666989326477 591.450439453125 585.8792724609375 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585.9649047851562 581.0022583007812 None None None +11 1969 0.23975028097629547 585.9305419921875 580.9677124023438 None None None +11 1970 0.23976252973079681 585.9349975585938 580.9718627929688 None None None +11 1971 0.23978424072265625 585.9185791015625 580.9549560546875 None None None +11 1972 0.2397848665714264 585.9009399414062 580.9373168945312 None None None +11 1973 0.2398020476102829 585.9010009765625 580.9370727539062 None None None +11 1974 0.2397911697626114 585.9025268554688 580.9387817382812 None None None +11 1975 0.2397741675376892 585.8585205078125 580.8950805664062 None None None +11 1976 0.23978334665298462 585.8629760742188 580.8993530273438 None None None +11 1977 0.23979102075099945 585.8540649414062 580.8902587890625 None None None +11 1978 0.23977446556091309 585.8837890625 580.9202880859375 None None None +11 1979 0.23978231847286224 585.8919677734375 580.9283447265625 None None None +11 1980 0.23980212211608887 585.9014282226562 580.9373779296875 None None 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0.22901873290538788 582.0209350585938 577.2802124023438 None None None +12 1807 0.229037344455719 582.0302734375 577.2892456054688 None None None +12 1808 0.22903402149677277 582.0172119140625 577.2762451171875 None None None +12 1809 0.2290293574333191 582.0089721679688 577.2681274414062 None None None +12 1810 0.22899329662322998 582.04638671875 577.3063354492188 None None None +12 1811 0.22904174029827118 582.064453125 577.3234252929688 None None None +12 1812 0.22906045615673065 582.1159057617188 577.3744506835938 None None None +12 1813 0.2290540635585785 582.1082153320312 577.3668823242188 None None None +12 1814 0.22902676463127136 582.115234375 577.37451171875 None None None +12 1815 0.22901558876037598 582.1444702148438 577.4039306640625 None None None +12 1816 0.2289990931749344 582.1463012695312 577.4060668945312 None None None +12 1817 0.22900700569152832 582.13671875 577.3963623046875 None None None +12 1818 0.22901077568531036 582.089599609375 577.3491821289062 None None None +12 1819 0.22902563214302063 582.135986328125 577.3953247070312 None None None +12 1820 0.22901512682437897 582.0924072265625 577.3519897460938 None None None +12 1821 0.22909866273403168 582.1005249023438 577.3583374023438 None None None +12 1822 0.2290799915790558 582.1388549804688 577.3970947265625 None None None +12 1823 0.22912392020225525 582.1351928710938 577.3925170898438 None None None +12 1824 0.22914764285087585 582.111572265625 577.368408203125 None None None +12 1825 0.22910398244857788 582.0881958007812 577.3458862304688 None None None +12 1826 0.2290799617767334 582.0374145507812 577.2955932617188 None None None +12 1827 0.22908727824687958 582.00927734375 577.2672729492188 None None None +12 1828 0.22907188534736633 581.9878540039062 577.2462158203125 None None None +12 1829 0.22905583679676056 581.95068359375 577.2094116210938 None None None +12 1830 0.22903183102607727 581.9004516601562 577.15966796875 None None None +12 1831 0.2290084809064865 581.8880615234375 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0.22909040749073029 581.736572265625 576.9945678710938 None None None +12 1845 0.2290814220905304 581.7659912109375 577.0241088867188 None None None +12 1846 0.22905400395393372 581.7802734375 577.0390014648438 None None None +12 1847 0.22903214395046234 581.7417602539062 577.0009765625 None None None +12 1848 0.22897087037563324 581.738037109375 576.99853515625 None None None +12 1849 0.22894659638404846 581.7217407226562 576.9827880859375 None None None +12 1850 0.22890612483024597 581.7532958984375 577.0151977539062 None None None +12 1851 0.22889697551727295 581.7332153320312 576.9953002929688 None None None +12 1852 0.22885282337665558 581.7114868164062 576.9744873046875 None None None +12 1853 0.22888189554214478 581.7146606445312 576.97705078125 None None None +12 1854 0.22886314988136292 581.7496337890625 577.0123291015625 None None None +12 1855 0.22884143888950348 581.78076171875 577.0440063476562 None None None +12 1856 0.22882424294948578 581.7636108398438 577.0271606445312 None None None +12 1857 0.22882424294948578 581.8045654296875 577.068115234375 None None None +12 1858 0.2288162261247635 581.8171997070312 577.0809326171875 None None None +12 1859 0.228810116648674 581.7835693359375 577.0474243164062 None None None +12 1860 0.22879092395305634 581.741455078125 577.0057373046875 None None None +12 1861 0.22880986332893372 581.72021484375 576.984130859375 None None None +12 1862 0.2288612723350525 581.6776123046875 576.9404907226562 None None None +12 1863 0.2288152426481247 581.6766357421875 576.9405517578125 None None None +12 1864 0.2288540005683899 581.6767578125 576.9398803710938 None None None +12 1865 0.22882698476314545 581.668701171875 576.932373046875 None None None +12 1866 0.22883059084415436 581.6500244140625 576.9136352539062 None None None +12 1867 0.22883115708827972 581.6455688476562 576.9091796875 None None None +12 1868 0.22880667448043823 581.6419067382812 576.9060668945312 None None None +12 1869 0.2287934273481369 581.613037109375 576.87744140625 None None None +12 1870 0.22874262928962708 581.6046752929688 576.8701171875 None None None +12 1871 0.22875183820724487 581.580078125 576.8453979492188 None None None +12 1872 0.22873595356941223 581.5771484375 576.8427734375 None None None +12 1873 0.22871097922325134 581.592529296875 576.8587036132812 None None None +12 1874 0.2287268340587616 581.5904541015625 576.8562622070312 None None None +12 1875 0.22874976694583893 581.5724487304688 576.8377685546875 None None None +12 1876 0.22875869274139404 581.571533203125 576.8367309570312 None None None +12 1877 0.2287561595439911 581.5616455078125 576.826904296875 None None None +12 1878 0.22876009345054626 581.5524291992188 576.817626953125 None None None +12 1879 0.22875414788722992 581.5470581054688 576.8123779296875 None None None +12 1880 0.22878803312778473 581.52880859375 576.7933349609375 None None None +12 1881 0.22878487408161163 581.5067749023438 576.771484375 None None None +12 1882 0.22878335416316986 581.5133666992188 576.778076171875 None None None +12 1883 0.22876037657260895 581.5084838867188 576.773681640625 None None None +12 1884 0.22879865765571594 581.5288696289062 576.7933349609375 None None None +12 1885 0.22880639135837555 581.5338134765625 576.798095703125 None None None +12 1886 0.22877521812915802 581.522705078125 576.78759765625 None None None +12 1887 0.22878670692443848 581.4834594726562 576.7481079101562 None None None +12 1888 0.22883762419223785 581.4541625976562 576.7177124023438 None None None +12 1889 0.22885718941688538 581.44140625 576.70458984375 None None None +12 1890 0.22886672616004944 581.4259643554688 576.68896484375 None None None +12 1891 0.22885344922542572 581.409423828125 576.6727294921875 None None None +12 1892 0.22886717319488525 581.427490234375 576.6904296875 None None None +12 1893 0.2288605123758316 581.4197998046875 576.6829223632812 None None None +12 1894 0.2288256138563156 581.4160766601562 576.6798706054688 None None None +12 1895 0.2288028448820114 581.401611328125 576.6658935546875 None None None +12 1896 0.2288358062505722 581.407958984375 576.6715087890625 None None None +12 1897 0.22882956266403198 581.4293823242188 576.693115234375 None None None +12 1898 0.22885647416114807 581.4437866210938 576.7069702148438 None None None +12 1899 0.22887296974658966 581.5084228515625 576.771240234375 None None None +12 1900 0.22884224355220795 581.5352783203125 576.7987670898438 None None None +12 1901 0.22887295484542847 581.5304565429688 576.7932739257812 None None None +12 1902 0.22888468205928802 581.5540161132812 576.816650390625 None None None +12 1903 0.22883038222789764 581.5567016601562 576.820556640625 None None None +12 1904 0.22881433367729187 581.5569458007812 576.8211059570312 None None None +12 1905 0.2288026660680771 581.5422973632812 576.8067016601562 None None None +12 1906 0.22878235578536987 581.5924072265625 576.857177734375 None None None +12 1907 0.22879470884799957 581.5731811523438 576.8377075195312 None None None +12 1908 0.2287948727607727 581.60791015625 576.8723754882812 None None None +12 1909 0.2287844717502594 581.5689697265625 576.8336791992188 None None None +12 1910 0.22876960039138794 581.5567626953125 576.82177734375 None None None +12 1911 0.22882474958896637 581.5263061523438 576.7901611328125 None None None +12 1912 0.22880353033542633 581.5484619140625 576.8128051757812 None None None +12 1913 0.2288161665201187 581.5554809570312 576.819580078125 None None None +12 1914 0.22888638079166412 581.5518188476562 576.8145141601562 None None None +12 1915 0.22891570627689362 581.574462890625 576.8365478515625 None None None +12 1916 0.22894199192523956 581.5132446289062 576.7747192382812 None None None +12 1917 0.22891859710216522 581.4644775390625 576.7264404296875 None None None +12 1918 0.2289678305387497 581.4562377929688 576.7171020507812 None None None +12 1919 0.22896111011505127 581.4716186523438 576.7327270507812 None None None +12 1920 0.22894428670406342 581.4742431640625 576.7357177734375 None None None +12 1921 0.22893047332763672 581.473388671875 576.7351684570312 None None None +12 1922 0.22892895340919495 581.4669799804688 576.7288208007812 None None None +12 1923 0.22894170880317688 581.4625244140625 576.72412109375 None None None +12 1924 0.22893445193767548 581.4891967773438 576.7509155273438 None None None +12 1925 0.22893266379833221 581.4678955078125 576.7296142578125 None None None +12 1926 0.22894293069839478 581.4745483398438 576.7361450195312 None None None +12 1927 0.2289162278175354 581.4854736328125 576.74755859375 None None None +12 1928 0.22889608144760132 581.4780883789062 576.7406005859375 None None None +12 1929 0.22889529168605804 581.5127563476562 576.7753295898438 None None None +12 1930 0.2289222627878189 581.510498046875 576.7725219726562 None None None +12 1931 0.2289244383573532 581.5234375 576.7854614257812 None None None +12 1932 0.22896315157413483 581.511474609375 576.7726440429688 None None None +12 1933 0.2290131002664566 581.5494995117188 576.8096923828125 None None None +12 1934 0.22904258966445923 581.5494995117188 576.80908203125 None None None +12 1935 0.22902823984622955 581.5823974609375 576.84228515625 None None None +12 1936 0.22900390625 581.5498657226562 576.810302734375 None None None +12 1937 0.2289993315935135 581.5592041015625 576.8197021484375 None None None +12 1938 0.2289704531431198 581.5875854492188 576.8486938476562 None None None +12 1939 0.22897399961948395 581.60302734375 576.8640747070312 None None None +12 1940 0.22899837791919708 581.5868530273438 576.847412109375 None None None +12 1941 0.2290317565202713 581.5386962890625 576.7984619140625 None None None +12 1942 0.2290457785129547 581.5394897460938 576.7990112304688 None None None +12 1943 0.22903910279273987 581.5203247070312 576.7799682617188 None None None +12 1944 0.22905400395393372 581.5091552734375 576.7685546875 None None None +12 1945 0.2290717512369156 581.5043334960938 576.7633056640625 None None None +12 1946 0.2290719449520111 581.4617309570312 576.7207641601562 None None None +12 1947 0.22909072041511536 581.4236450195312 576.6822509765625 None None None +12 1948 0.2290576845407486 581.428466796875 576.687744140625 None None None +12 1949 0.2290118932723999 581.43896484375 576.6991577148438 None None None +12 1950 0.2290308177471161 581.4404296875 576.7002563476562 None None None +12 1951 0.22903253138065338 581.5045776367188 576.7642822265625 None None None +12 1952 0.22903591394424438 581.5106811523438 576.7703857421875 None None None +12 1953 0.22903235256671906 581.501953125 576.7616577148438 None None None +12 1954 0.2290242463350296 581.447998046875 576.7079467773438 None None None +12 1955 0.22905299067497253 581.4287109375 576.6880493164062 None None None +12 1956 0.22905968129634857 581.438232421875 576.6974487304688 None None None +12 1957 0.22907982766628265 581.4241943359375 576.6830444335938 None None None +12 1958 0.22910277545452118 581.3909912109375 576.6494140625 None None None +12 1959 0.22910548746585846 581.4081420898438 576.66650390625 None None None +12 1960 0.22915510833263397 581.4282836914062 576.6856079101562 None None None +12 1961 0.22912433743476868 581.4618530273438 576.7198486328125 None None None +12 1962 0.22916316986083984 581.4465942382812 576.7037963867188 None None None +12 1963 0.22911091148853302 581.4552001953125 576.7135009765625 None None None +12 1964 0.229122132062912 581.4603881835938 576.7183837890625 None None None +12 1965 0.22911283373832703 581.4749145507812 576.7330932617188 None None None +12 1966 0.2290816307067871 581.447021484375 576.7058715820312 None None None +12 1967 0.2290656864643097 581.4569091796875 576.7161254882812 None None None +12 1968 0.22905993461608887 581.4476928710938 576.7069702148438 None None None +12 1969 0.22907285392284393 581.47216796875 576.731201171875 None None None +12 1970 0.22910907864570618 581.4815673828125 576.7398071289062 None None None 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576.6204833984375 None None None +12 1984 0.22903786599636078 581.385986328125 576.6456909179688 None None None +12 1985 0.22904333472251892 581.4573974609375 576.7169799804688 None None None +12 1986 0.2291037142276764 581.4754638671875 576.7337646484375 None None None +12 1987 0.22910235822200775 581.4428100585938 576.7011108398438 None None None +12 1988 0.22913065552711487 581.4343872070312 576.6920776367188 None None None +12 1989 0.22914865612983704 581.4774169921875 576.7347412109375 None None None +12 1990 0.2291538268327713 581.5022583007812 576.759521484375 None None None +12 1991 0.22923265397548676 581.5145263671875 576.7700805664062 None None None +12 1992 0.2292170226573944 581.5347900390625 576.7907104492188 None None None +12 1993 0.22922192513942719 581.4905395507812 576.746337890625 None None None +12 1994 0.22920940816402435 581.4933471679688 576.7493896484375 None None None +12 1995 0.22923558950424194 581.496337890625 576.7517700195312 None None None +12 1996 0.22925038635730743 581.5020751953125 576.7572021484375 None None None +12 1997 0.2292623519897461 581.5209350585938 576.77587890625 None None None +12 1998 0.22924648225307465 581.5189208984375 576.774169921875 None None None +12 1999 0.2292061150074005 581.5298461914062 576.7858276367188 None None None +12 2000 0.22919519245624542 581.4978637695312 576.754150390625 None None None +12 2001 0.22919294238090515 581.4610595703125 576.7173461914062 None None None +12 2002 0.22919507324695587 581.4454345703125 576.7017211914062 None None None +12 2003 0.2291981726884842 581.4472045898438 576.7034301757812 None None None +12 2004 0.2291668951511383 581.439208984375 576.6961059570312 None None None +12 2005 0.22913643717765808 581.4168701171875 576.6743774414062 None None None +12 2006 0.22914321720600128 581.3848266601562 576.6422119140625 None None None +12 2007 0.22914718091487885 581.37890625 576.63623046875 None None None +12 2008 0.22911672294139862 581.4229736328125 576.680908203125 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0.22989521920681 580.9142456054688 576.1566772460938 None None None +12 2463 0.22990238666534424 580.8985595703125 576.1408081054688 None None None +12 2464 0.2299051135778427 580.8989868164062 576.1411743164062 None None None +12 2465 0.22989150881767273 580.89501953125 576.1375122070312 None None None +12 2466 0.2298632562160492 580.916748046875 576.1598510742188 None None None +12 2467 0.22985059022903442 580.949951171875 576.1932983398438 None None None +12 2468 0.22986039519309998 580.9617919921875 576.2050170898438 None None None +12 2469 0.22981344163417816 580.9171752929688 576.161376953125 None None None +12 2470 0.229791522026062 580.9378662109375 576.1824951171875 None None None +12 2471 0.2297942191362381 580.9285888671875 576.1732177734375 None None None +12 2472 0.2297658622264862 580.9049682617188 576.150146484375 None None None +12 2473 0.22985242307186127 580.9166259765625 576.1600952148438 None None None +12 2474 0.22983792424201965 580.9024047851562 576.1461791992188 None None None +12 2475 0.2298838198184967 580.8785400390625 576.121337890625 None None None +12 2476 0.22991541028022766 580.8839721679688 576.1261596679688 None None None +12 2477 0.2298753261566162 580.8756713867188 576.1187133789062 None None None +12 2478 0.229850634932518 580.8857421875 576.1292114257812 None None None +12 2479 0.22986826300621033 580.8782348632812 576.121337890625 None None None +12 2480 0.22987641394138336 580.87109375 576.1140747070312 None None None +12 2481 0.22991278767585754 580.856201171875 576.098388671875 None None None +12 2482 0.22989113628864288 580.8423461914062 576.0848999023438 None None None +12 2483 0.22991493344306946 580.8412475585938 576.0833129882812 None None None +12 2484 0.22993017733097076 580.8441162109375 576.0859375 None None None +12 2485 0.22989097237586975 580.84375 576.0863647460938 None None None +12 2486 0.22990378737449646 580.8772583007812 576.11962890625 None None None diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.bias_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2aff6392c9dba755d3395f39b1fa6496cd3ec8b --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.bias_formatting.stderr.txt @@ -0,0 +1,38 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 02:22:17.501408: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:20.539644: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:22:20.546240: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 02:22:20.579110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 02:22:20.579184: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:20.613235: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:22:20.613343: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:22:20.629140: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:22:20.636055: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:22:20.661101: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:22:20.667318: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:22:20.668574: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:22:20.670352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:22:20.670731: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 02:22:20.671636: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 02:22:20.671896: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:03:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 02:22:20.671929: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:20.671957: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 02:22:20.671982: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 02:22:20.672006: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 02:22:20.672030: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 02:22:20.672055: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 02:22:20.672079: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 02:22:20.672104: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 02:22:20.672470: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 02:22:20.673845: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 02:22:22.588263: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 02:22:22.588354: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 02:22:22.588378: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 02:22:22.591461: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:03:00.0, compute capability: 6.0) +2023-07-15 02:22:23.464063: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.bias_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..79a52221530ae564254c7c1d8ba9a3a07981a28a --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/bias_model_scaled.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/new_model_formats/bias_model_scaled diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet.params.json b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet.params.json new file mode 100644 index 0000000000000000000000000000000000000000..cac7d4ba6b0249f54c33249e5a3da9bcd8a4a0d5 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet.params.json @@ -0,0 +1,11 @@ +{ + "counts_loss_weight": "20.7", + "filters": "512", + "n_dil_layers": "8", + "bias_model_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/bias_model_scaled.h5", + "inputlen": "2114", + "outputlen": "1000", + "max_jitter": "500", + "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json", + "negative_sampling_ratio": "0.1" +} \ No newline at end of file diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_data_params.tsv b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_data_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..f8172450450819027308e6e65920d88315434e74 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_data_params.tsv @@ -0,0 +1,3 @@ +counts_sum_min_thresh 16.0 +counts_sum_max_thresh 2621.18 +trainings_pts_post_thresh 174058 diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..f155bf58b7664ac8dde41dbc2dc955e2a89ef63a --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_formatting.stderr.txt @@ -0,0 +1,40 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2023-07-15 01:17:59.959786: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.042441: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.047128: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2023-07-15 01:18:03.069492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:83:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.069564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.097957: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.098071: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.112313: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.118670: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.141973: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.147776: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.149004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.150861: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.151218: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2023-07-15 01:18:03.152112: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2023-07-15 01:18:03.152516: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:83:00.0 name: Tesla P100-PCIE-16GB computeCapability: 6.0 +coreClock: 1.3285GHz coreCount: 56 deviceMemorySize: 15.89GiB deviceMemoryBandwidth: 681.88GiB/s +2023-07-15 01:18:03.152550: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:03.152575: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2023-07-15 01:18:03.152598: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2023-07-15 01:18:03.152621: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2023-07-15 01:18:03.152643: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2023-07-15 01:18:03.152665: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2023-07-15 01:18:03.152687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2023-07-15 01:18:03.152708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2023-07-15 01:18:03.153073: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2023-07-15 01:18:03.154402: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2023-07-15 01:18:04.974334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2023-07-15 01:18:04.974453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2023-07-15 01:18:04.974471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2023-07-15 01:18:04.977407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14957 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:83:00.0, compute capability: 6.0) +2023-07-15 01:18:07.357942: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them. +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..f600131ee03496bfc97769e7f81f6c283208e20b --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/chrombpnet.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/new_model_formats/chrombpnet diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_model_params.tsv b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_model_params.tsv new file mode 100644 index 0000000000000000000000000000000000000000..8e6ece2e5d1f6303685d9074ccaf2182213b7e58 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_model_params.tsv @@ -0,0 +1,9 @@ +counts_loss_weight 20.7 +filters 512 +n_dil_layers 8 +bias_model_path /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/bias_model_scaled.h5 +inputlen 2114 +outputlen 1000 +max_jitter 500 +chr_fold_path /scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json +negative_sampling_ratio 0.1 \ No newline at end of file diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..692bef0cacfd9a305ee10e0e8a2a3f4c0a7690cd --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_no_bias_formatting.stderr.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/new_model_formats/chrombpnet_wo_bias diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..692bef0cacfd9a305ee10e0e8a2a3f4c0a7690cd --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.chrombpnet_no_bias_formatting.stdout.txt @@ -0,0 +1 @@ +singularity exec --nv /home/groups/akundaje/anusri/simg/tf-atlas_gcp-modeling.sif python get_new_tf_model_format.py -i /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/chrombpnet_wo_bias.h5 -o /oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/new_model_formats/chrombpnet_wo_bias diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.epoch_loss.csv b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.epoch_loss.csv new file mode 100644 index 0000000000000000000000000000000000000000..99d5798152e7321cbb2c47c87b210fd6c299bb13 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.epoch_loss.csv @@ -0,0 +1,14 @@ +epoch,logcount_predictions_loss,logits_profile_predictions_loss,loss,val_logcount_predictions_loss,val_logits_profile_predictions_loss,val_loss +0,0.9932336211204529,637.5344848632812,658.0934448242188,0.3962908983230591,609.4752197265625,617.6781616210938 +1,0.3961983621120453,611.1542358398438,619.3561401367188,0.33984705805778503,597.1997680664062,604.2345581054688 +2,0.3654260039329529,603.453857421875,611.018798828125,0.3290926516056061,600.017822265625,606.8302001953125 +3,0.3399128019809723,599.182861328125,606.2197875976562,0.3098962604999542,592.1004638671875,598.515380859375 +4,0.32473450899124146,596.119384765625,602.8405151367188,0.30609187483787537,596.7377319335938,603.0742797851562 +5,0.30948418378829956,593.33349609375,599.7404174804688,0.2932864725589752,591.7669677734375,597.837646484375 +6,0.30018866062164307,591.2191772460938,597.43212890625,0.29448023438453674,595.0481567382812,601.1438598632812 +7,0.29146066308021545,588.75439453125,594.7870483398438,0.2878645956516266,588.38232421875,594.340576171875 +8,0.28490474820137024,587.7347412109375,593.6319580078125,0.2991240322589874,589.2037963867188,595.3952026367188 +9,0.2753910422325134,586.6762084960938,592.3771362304688,0.29085981845855713,593.2122802734375,599.2329711914062 +10,0.2693484127521515,585.3447875976562,590.9202270507812,0.2775755822658539,591.3505859375,597.0965576171875 +11,0.2398674637079239,580.1717529296875,585.1366577148438,0.27800774574279785,591.3181762695312,597.0726318359375 +12,0.22990378737449646,576.11962890625,580.8772583007812,0.2748669981956482,590.06396484375,595.7535400390625 diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stderr.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stderr.txt new file mode 100644 index 0000000000000000000000000000000000000000..02e6781fca4bb38b554791080853589007d3e72b --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stderr.txt @@ -0,0 +1,332 @@ +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +INFO: underlay of /etc/localtime required more than 50 (88) bind mounts +INFO: underlay of /usr/bin/nvidia-smi required more than 50 (355) bind mounts +2022-10-12 22:29:00.672906: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:30.219686: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:35:30.223294: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:35:30.497838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:35:30.497971: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:30.518239: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:35:30.518306: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:35:30.528937: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:35:30.533898: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:35:30.551137: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:35:30.555594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:35:30.556666: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:35:30.561069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:35:30.561408: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:35:30.562237: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:35:30.563992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:35:30.564027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:30.564049: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:35:30.564075: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:35:30.564093: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:35:30.564108: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:35:30.564122: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:35:30.564136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:35:30.564151: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:35:30.567304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:35:30.568576: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:35:32.140023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:35:32.140161: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:35:32.140176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:35:32.145620: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-10-12 22:35:33.777819: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:35:33.790776: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-12 22:35:33.970194: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:35:35.350346: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:35:35.358897: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:04.133708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:05.846906: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:36:05.847789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-12 22:36:06.005475: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:36:06.005593: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:06.007952: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:36:06.008007: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:36:06.009027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:36:06.009326: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:36:06.011434: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:36:06.011979: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:36:06.012281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:06.013954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:36:06.014298: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-12 22:36:06.014374: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-12 22:36:06.015217: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-12 22:36:06.015243: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:06.015263: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:36:06.015279: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:36:06.015293: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-12 22:36:06.015307: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-12 22:36:06.015320: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-12 22:36:06.015334: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-12 22:36:06.015347: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:36:06.016862: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-12 22:36:06.016896: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-12 22:36:06.515431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-12 22:36:06.515631: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-12 22:36:06.515645: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-12 22:36:06.529045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-10-12 22:41:30.909108: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-12 22:41:30.909531: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-12 22:41:32.263596: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-12 22:41:32.819145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-12 22:41:32.835357: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-12 22:41:36.184879: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2022-10-13 00:02:51.114253: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:02:53.798521: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:02:53.799564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:02:54.022001: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:02:54.022134: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:02:54.024731: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:02:54.024803: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:02:54.025946: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:02:54.026319: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:02:54.028695: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:02:54.029303: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:02:54.029656: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:02:54.031311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:02:54.031638: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:02:54.031708: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:02:54.032543: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:02:54.032569: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:02:54.032589: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:02:54.032605: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:02:54.032620: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:02:54.032634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:02:54.032648: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:02:54.032662: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:02:54.032676: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:02:54.034232: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:02:54.034265: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:02:54.521036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:02:54.521140: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:02:54.521154: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:02:54.523755: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-10-13 00:04:29.869892: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:04:29.873403: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:04:29.952725: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:04:30.402990: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:04:30.404937: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: is not loaded, but a Lambda layer uses it. It may cause errors. + , UserWarning) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 00:06:45.038750: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:06:47.511619: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:06:47.547448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:06:47.749838: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:06:47.749940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:06:47.752520: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:06:47.752589: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:06:47.753742: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:06:47.754092: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:06:47.756559: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:06:47.757180: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:06:47.757517: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:06:47.759164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:06:47.759475: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:06:47.759545: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:06:47.760367: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:06:47.760391: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:06:47.760410: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:06:47.760425: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:06:47.760439: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:06:47.760454: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:06:47.760467: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:06:47.760480: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:06:47.760493: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:06:47.761985: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:06:47.762018: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:06:48.253269: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:06:48.253418: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:06:48.253432: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:06:48.256096: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 00:07:58.967149: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:07:58.969258: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:07:59.020105: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:07:59.466875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:07:59.468424: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 00:10:03.970960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:10:06.387423: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:10:06.388449: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:10:06.589873: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:10:06.589978: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:10:06.592552: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:10:06.592600: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:10:06.593672: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:10:06.593947: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:10:06.596178: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:10:06.596696: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:10:06.597004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:10:06.598572: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:10:06.598894: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:10:06.598955: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:10:06.599750: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:10:06.599772: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:10:06.599813: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:10:06.599830: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:10:06.599844: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:10:06.599857: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:10:06.599869: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:10:06.599881: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:10:06.599893: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:10:06.601582: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:10:06.601612: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:10:07.052028: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:10:07.052144: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:10:07.052158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:10:07.054853: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-10-13 00:11:15.891578: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:11:15.893037: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:11:15.923585: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:11:16.370094: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:11:16.371517: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:69: RuntimeWarning: invalid value encountered in true_divide + cur_jsd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),pred_probs[idx,:]) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/utils/metrics_utils.py:196: RuntimeWarning: invalid value encountered in true_divide + profile_prob = profile / np.sum(profile) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:78: RuntimeWarning: invalid value encountered in true_divide + shuffled_labels_prob=shuffled_labels/np.nansum(shuffled_labels) +/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/metrics.py:88: RuntimeWarning: invalid value encountered in true_divide + curr_jsd_rnd=jensenshannon(true_counts[idx,:]/np.nansum(true_counts[idx,:]),shuffled_labels_prob) +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +findfont: Font family ['normal'] not found. Falling back to DejaVu Sans. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. +2022-10-13 00:12:21.769933: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:12:22.935491: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:12:22.936327: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:12:23.134269: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:12:23.134378: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:12:23.136732: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:12:23.136784: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:12:23.137800: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:12:23.138084: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:12:23.140264: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:12:23.140804: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:12:23.141125: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:12:23.142688: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:12:23.142985: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:12:23.143048: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:12:23.143853: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:12:23.143882: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:12:23.143900: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:12:23.143914: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:12:23.143928: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:12:23.143941: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:12:23.143954: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:12:23.143967: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:12:23.143981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:12:23.145484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:12:23.145521: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:12:23.625398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:12:23.625520: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:12:23.625534: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:12:23.628116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. +2022-10-13 00:12:34.749385: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:12:34.749967: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:12:34.927255: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:12:35.422679: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:12:35.424384: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +mkdir: cannot create directory ‘/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints’: File exists +2022-10-13 00:14:12.130120: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:14:13.475518: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:14:13.476566: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 +2022-10-13 00:14:13.676598: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:14:13.676695: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:14:13.679145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:14:13.679196: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:14:13.680185: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:14:13.680457: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:14:13.682558: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:14:13.683088: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:14:13.683390: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:14:13.685001: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:14:13.685333: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA +To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. +2022-10-13 00:14:13.685423: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set +2022-10-13 00:14:13.686221: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: +pciBusID: 0000:c1:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 +coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.21GiB deviceMemoryBandwidth: 1.85TiB/s +2022-10-13 00:14:13.686251: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:14:13.686269: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:14:13.686284: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:14:13.686297: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 +2022-10-13 00:14:13.686310: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 +2022-10-13 00:14:13.686323: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 +2022-10-13 00:14:13.686335: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 +2022-10-13 00:14:13.686348: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 +2022-10-13 00:14:13.687826: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 +2022-10-13 00:14:13.687860: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 +2022-10-13 00:14:14.151935: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: +2022-10-13 00:14:14.152048: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 +2022-10-13 00:14:14.152071: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N +2022-10-13 00:14:14.154702: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75712 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c1:00.0, compute capability: 8.0) +2022-10-13 00:14:24.663160: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) +2022-10-13 00:14:24.663762: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2794925000 Hz +2022-10-13 00:14:24.786594: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 +2022-10-13 00:14:25.278452: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 +2022-10-13 00:14:25.280106: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stdout.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stdout.txt new file mode 100644 index 0000000000000000000000000000000000000000..62bab4bd652044e7b500a6a0b9b24cd181e17154 --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stdout.txt @@ -0,0 +1,460 @@ +DNase-seq +DNASE_SE +/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json +Wed Oct 12 22:28:51 2022 ++-----------------------------------------------------------------------------+ +| NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 | +|-------------------------------+----------------------+----------------------+ +| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | +| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | +| | | MIG M. | +|===============================+======================+======================| +| 0 NVIDIA A100-SXM... On | 00000000:C1:00.0 Off | 0 | +| N/A 27C P0 60W / 500W | 0MiB / 81920MiB | 0% E. Process | +| | | Disabled | ++-------------------------------+----------------------+----------------------+ + ++-----------------------------------------------------------------------------+ +| Processes: | +| GPU GI CI PID Type Process name GPU Memory | +| ID ID Usage | +|=============================================================================| +| No running processes found | ++-----------------------------------------------------------------------------+ +No logfile supplied - creating one +2022-10-12_22-28-59: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/ENCSR880CUB/fold_4/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] +Number of peaks input: 161530 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 161530 +Number of peaks input: 38470 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 38470 +Number of non peaks input: 156404 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 156404 +Number of non peaks input: 43595 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 43595 +Number of peaks after removing outliers: 159753 +Number of nonpeaks after removing outliers: 138896 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 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5ms/step +2022-10-12_22-36-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '20.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(144696, 10) +loading nonpeaks... +got split:train for bed regions:(126929, 10) +loading peaks... +got split:valid for bed regions:(15057, 10) +loading nonpeaks... +got split:valid for bed regions:(11967, 10) +Epoch 1/50 + 1/2487 [..............................] - ETA: 4:48:04 - loss: 789.0363 - logits_profile_predictions_loss: 732.0316 - logcount_predictions_loss: 2.7538 2/2487 [..............................] - ETA: 5:50 - loss: 954.9818 - logits_profile_predictions_loss: 738.1912 - logcount_predictions_loss: 10.4730  3/2487 [..............................] - ETA: 5:48 - loss: 970.9253 - logits_profile_predictions_loss: 736.6378 - logcount_predictions_loss: 11.3182 4/2487 [..............................] - ETA: 5:48 - loss: 963.0566 - logits_profile_predictions_loss: 733.4477 - logcount_predictions_loss: 11.0922 5/2487 [..............................] - ETA: 5:47 - loss: 950.2195 - logits_profile_predictions_loss: 729.9431 - logcount_predictions_loss: 10.6414 6/2487 [..............................] - ETA: 5:47 - loss: 940.1042 - logits_profile_predictions_loss: 729.2361 - logcount_predictions_loss: 10.1869 7/2487 [..............................] - ETA: 5:47 - loss: 931.1082 - logits_profile_predictions_loss: 729.1358 - logcount_predictions_loss: 9.7571  8/2487 [..............................] - ETA: 5:46 - loss: 921.7286 - logits_profile_predictions_loss: 727.9906 - logcount_predictions_loss: 9.3593 9/2487 [..............................] - ETA: 5:46 - loss: 914.6557 - logits_profile_predictions_loss: 728.2229 - logcount_predictions_loss: 9.0064 10/2487 [..............................] - ETA: 5:46 - loss: 907.1430 - logits_profile_predictions_loss: 727.3609 - logcount_predictions_loss: 8.6851 11/2487 [..............................] - ETA: 5:46 - loss: 900.8845 - logits_profile_predictions_loss: 727.0263 - logcount_predictions_loss: 8.3989 12/2487 [..............................] - ETA: 5:46 - loss: 894.9505 - logits_profile_predictions_loss: 726.4846 - logcount_predictions_loss: 8.1384 13/2487 [..............................] - ETA: 5:45 - loss: 889.3604 - logits_profile_predictions_loss: 725.7996 - logcount_predictions_loss: 7.9015 14/2487 [..............................] - ETA: 5:45 - loss: 883.6492 - logits_profile_predictions_loss: 724.6030 - logcount_predictions_loss: 7.6834 15/2487 [..............................] - ETA: 5:45 - loss: 878.5567 - logits_profile_predictions_loss: 723.6180 - logcount_predictions_loss: 7.4850 16/2487 [..............................] - ETA: 5:45 - loss: 873.8295 - logits_profile_predictions_loss: 722.6513 - logcount_predictions_loss: 7.3033 17/2487 [..............................] - ETA: 5:45 - loss: 869.4058 - logits_profile_predictions_loss: 721.6896 - logcount_predictions_loss: 7.1360 18/2487 [..............................] - ETA: 5:45 - loss: 865.2773 - logits_profile_predictions_loss: 720.7813 - logcount_predictions_loss: 6.9805 19/2487 [..............................] - ETA: 5:45 - loss: 861.3278 - logits_profile_predictions_loss: 719.8411 - logcount_predictions_loss: 6.8351 20/2487 [..............................] - ETA: 5:45 - loss: 858.0049 - logits_profile_predictions_loss: 719.2733 - logcount_predictions_loss: 6.7020 21/2487 [..............................] - ETA: 5:45 - loss: 855.1499 - logits_profile_predictions_loss: 718.9449 - logcount_predictions_loss: 6.5800 22/2487 [..............................] - ETA: 5:44 - loss: 852.5210 - logits_profile_predictions_loss: 718.6756 - logcount_predictions_loss: 6.4660 23/2487 [..............................] - ETA: 5:44 - loss: 849.9501 - logits_profile_predictions_loss: 718.3146 - logcount_predictions_loss: 6.3592 24/2487 [..............................] - ETA: 5:44 - loss: 847.6391 - logits_profile_predictions_loss: 718.0637 - logcount_predictions_loss: 6.2597 25/2487 [..............................] - ETA: 5:44 - loss: 845.4497 - logits_profile_predictions_loss: 717.8111 - logcount_predictions_loss: 6.1661 26/2487 [..............................] - ETA: 5:44 - loss: 843.3756 - logits_profile_predictions_loss: 717.5627 - logcount_predictions_loss: 6.0779 27/2487 [..............................] - ETA: 5:44 - loss: 841.4115 - logits_profile_predictions_loss: 717.3231 - logcount_predictions_loss: 5.9946 28/2487 [..............................] - ETA: 5:44 - loss: 839.7882 - logits_profile_predictions_loss: 717.3211 - logcount_predictions_loss: 5.9163 29/2487 [..............................] - ETA: 5:44 - loss: 838.3098 - logits_profile_predictions_loss: 717.3695 - logcount_predictions_loss: 5.8425 30/2487 [..............................] - ETA: 5:43 - loss: 836.9499 - logits_profile_predictions_loss: 717.4591 - logcount_predictions_loss: 5.7725 31/2487 [..............................] - ETA: 5:43 - loss: 835.6889 - logits_profile_predictions_loss: 717.5799 - logcount_predictions_loss: 5.7057 32/2487 [..............................] - ETA: 5:43 - loss: 834.3592 - logits_profile_predictions_loss: 717.5803 - logcount_predictions_loss: 5.6415 33/2487 [..............................] - ETA: 5:43 - loss: 832.9680 - logits_profile_predictions_loss: 717.4676 - logcount_predictions_loss: 5.5797 34/2487 [..............................] - ETA: 5:43 - loss: 831.5980 - logits_profile_predictions_loss: 717.3208 - logcount_predictions_loss: 5.5206 35/2487 [..............................] - ETA: 5:43 - loss: 830.3299 - logits_profile_predictions_loss: 717.2210 - logcount_predictions_loss: 5.4642 36/2487 [..............................] - ETA: 5:42 - loss: 829.0809 - logits_profile_predictions_loss: 717.0951 - logcount_predictions_loss: 5.4099 37/2487 [..............................] - ETA: 5:42 - loss: 827.8566 - logits_profile_predictions_loss: 716.9478 - logcount_predictions_loss: 5.3579 38/2487 [..............................] - ETA: 5:42 - loss: 826.7265 - logits_profile_predictions_loss: 716.8457 - logcount_predictions_loss: 5.3082 39/2487 [..............................] - ETA: 5:42 - loss: 825.6393 - logits_profile_predictions_loss: 716.7472 - logcount_predictions_loss: 5.2605 40/2487 [..............................] - ETA: 5:42 - loss: 824.6122 - logits_profile_predictions_loss: 716.6683 - logcount_predictions_loss: 5.2147 41/2487 [..............................] - ETA: 5:42 - loss: 823.6068 - logits_profile_predictions_loss: 716.5737 - logcount_predictions_loss: 5.1707 42/2487 [..............................] - ETA: 5:41 - loss: 822.5915 - logits_profile_predictions_loss: 716.4376 - logcount_predictions_loss: 5.1282 43/2487 [..............................] - ETA: 5:41 - loss: 821.5941 - logits_profile_predictions_loss: 716.2896 - logcount_predictions_loss: 5.0872 44/2487 [..............................] - ETA: 5:41 - loss: 820.5860 - logits_profile_predictions_loss: 716.1033 - logcount_predictions_loss: 5.0475 45/2487 [..............................] - ETA: 5:41 - loss: 819.5952 - logits_profile_predictions_loss: 715.9071 - logcount_predictions_loss: 5.0091 46/2487 [..............................] - ETA: 5:41 - loss: 818.6129 - logits_profile_predictions_loss: 715.6927 - logcount_predictions_loss: 4.9720 47/2487 [..............................] - ETA: 5:41 - loss: 817.6651 - logits_profile_predictions_loss: 715.4854 - logcount_predictions_loss: 4.9362 48/2487 [..............................] - ETA: 5:41 - loss: 816.7688 - logits_profile_predictions_loss: 715.3025 - logcount_predictions_loss: 4.9018 49/2487 [..............................] - ETA: 5:41 - loss: 815.9174 - logits_profile_predictions_loss: 715.1383 - logcount_predictions_loss: 4.8686 50/2487 [..............................] - ETA: 5:40 - loss: 815.0410 - logits_profile_predictions_loss: 714.9331 - logcount_predictions_loss: 4.8361 51/2487 [..............................] - ETA: 5:40 - loss: 814.1895 - logits_profile_predictions_loss: 714.7323 - logcount_predictions_loss: 4.8047 52/2487 [..............................] - ETA: 5:40 - loss: 813.3279 - logits_profile_predictions_loss: 714.5048 - logcount_predictions_loss: 4.7741 53/2487 [..............................] - ETA: 5:40 - loss: 812.4944 - logits_profile_predictions_loss: 714.2867 - logcount_predictions_loss: 4.7443 54/2487 [..............................] - ETA: 5:40 - loss: 811.7143 - logits_profile_predictions_loss: 714.1006 - logcount_predictions_loss: 4.7156 55/2487 [..............................] - ETA: 5:40 - loss: 810.9286 - logits_profile_predictions_loss: 713.8935 - logcount_predictions_loss: 4.6877 56/2487 [..............................] - ETA: 5:40 - loss: 810.1421 - logits_profile_predictions_loss: 713.6712 - logcount_predictions_loss: 4.6604 57/2487 [..............................] - ETA: 5:40 - loss: 809.3560 - logits_profile_predictions_loss: 713.4348 - logcount_predictions_loss: 4.6339 58/2487 [..............................] - ETA: 5:39 - loss: 808.6118 - logits_profile_predictions_loss: 713.2236 - logcount_predictions_loss: 4.6081 59/2487 [..............................] - ETA: 5:39 - loss: 807.8825 - logits_profile_predictions_loss: 713.0124 - logcount_predictions_loss: 4.5831 60/2487 [..............................] - ETA: 5:39 - loss: 807.1701 - logits_profile_predictions_loss: 712.8040 - logcount_predictions_loss: 4.5587 61/2487 [..............................] - ETA: 5:39 - loss: 806.4672 - logits_profile_predictions_loss: 712.5914 - logcount_predictions_loss: 4.5351 62/2487 [..............................] - ETA: 5:39 - loss: 805.8043 - logits_profile_predictions_loss: 712.4026 - logcount_predictions_loss: 4.5122 63/2487 [..............................] - ETA: 5:39 - loss: 805.1396 - logits_profile_predictions_loss: 712.2022 - logcount_predictions_loss: 4.4897 64/2487 [..............................] - ETA: 5:38 - loss: 804.4926 - logits_profile_predictions_loss: 712.0080 - logcount_predictions_loss: 4.4679 65/2487 [..............................] - ETA: 5:38 - loss: 803.8539 - logits_profile_predictions_loss: 711.8119 - logcount_predictions_loss: 4.4465 66/2487 [..............................] - ETA: 5:38 - loss: 803.2147 - logits_profile_predictions_loss: 711.6060 - logcount_predictions_loss: 4.4255 67/2487 [..............................] - ETA: 5:38 - loss: 802.5872 - logits_profile_predictions_loss: 711.4022 - logcount_predictions_loss: 4.4051 68/2487 [..............................] - ETA: 5:38 - loss: 801.9747 - logits_profile_predictions_loss: 711.2025 - logcount_predictions_loss: 4.3851 69/2487 [..............................] - ETA: 5:38 - loss: 801.3782 - logits_profile_predictions_loss: 711.0080 - logcount_predictions_loss: 4.3657 70/2487 [..............................] - ETA: 5:38 - loss: 800.7737 - logits_profile_predictions_loss: 710.7986 - logcount_predictions_loss: 4.3466 71/2487 [..............................] - ETA: 5:37 - loss: 800.1632 - logits_profile_predictions_loss: 710.5762 - logcount_predictions_loss: 4.3279 72/2487 [..............................] - ETA: 5:37 - loss: 799.5695 - logits_profile_predictions_loss: 710.3620 - logcount_predictions_loss: 4.3095 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logits_profile_predictions_loss: 691.2143 - logcount_predictions_loss: 3.0385 386/2487 [===>..........................] - ETA: 4:53 - loss: 754.0620 - logits_profile_predictions_loss: 691.1853 - logcount_predictions_loss: 3.0375 387/2487 [===>..........................] - ETA: 4:53 - loss: 754.0138 - logits_profile_predictions_loss: 691.1568 - logcount_predictions_loss: 3.0366 388/2487 [===>..........................] - ETA: 4:53 - loss: 753.9652 - logits_profile_predictions_loss: 691.1280 - logcount_predictions_loss: 3.0356 389/2487 [===>..........................] - ETA: 4:53 - loss: 753.9166 - logits_profile_predictions_loss: 691.0990 - logcount_predictions_loss: 3.0347 390/2487 [===>..........................] - ETA: 4:52 - loss: 753.8682 - logits_profile_predictions_loss: 691.0701 - logcount_predictions_loss: 3.0337 391/2487 [===>..........................] - ETA: 4:52 - loss: 753.8196 - logits_profile_predictions_loss: 691.0411 - logcount_predictions_loss: 3.0328 392/2487 [===>..........................] - ETA: 4:52 - loss: 753.7716 - logits_profile_predictions_loss: 691.0125 - logcount_predictions_loss: 3.0318 393/2487 [===>..........................] - ETA: 4:52 - loss: 753.7245 - logits_profile_predictions_loss: 690.9845 - logcount_predictions_loss: 3.0309 394/2487 [===>..........................] - ETA: 4:52 - loss: 753.6777 - logits_profile_predictions_loss: 690.9568 - logcount_predictions_loss: 3.0300 395/2487 [===>..........................] - ETA: 4:52 - loss: 753.6301 - logits_profile_predictions_loss: 690.9283 - logcount_predictions_loss: 3.0291 396/2487 [===>..........................] - ETA: 4:52 - loss: 753.5829 - logits_profile_predictions_loss: 690.9001 - logcount_predictions_loss: 3.0281 397/2487 [===>..........................] - ETA: 4:51 - loss: 753.5357 - logits_profile_predictions_loss: 690.8718 - logcount_predictions_loss: 3.0272 398/2487 [===>..........................] - ETA: 4:51 - loss: 753.4882 - logits_profile_predictions_loss: 690.8431 - logcount_predictions_loss: 3.0263 399/2487 [===>..........................] - ETA: 4:51 - loss: 753.4405 - logits_profile_predictions_loss: 690.8143 - logcount_predictions_loss: 3.0254 400/2487 [===>..........................] - ETA: 4:51 - loss: 753.3928 - logits_profile_predictions_loss: 690.7854 - logcount_predictions_loss: 3.0245 401/2487 [===>..........................] - ETA: 4:51 - loss: 753.3448 - logits_profile_predictions_loss: 690.7561 - logcount_predictions_loss: 3.0236 402/2487 [===>..........................] - ETA: 4:51 - loss: 753.2967 - logits_profile_predictions_loss: 690.7267 - logcount_predictions_loss: 3.0227 403/2487 [===>..........................] - ETA: 4:51 - loss: 753.2480 - logits_profile_predictions_loss: 690.6967 - logcount_predictions_loss: 3.0218 404/2487 [===>..........................] - ETA: 4:51 - loss: 753.1991 - logits_profile_predictions_loss: 690.6664 - logcount_predictions_loss: 3.0209 405/2487 [===>..........................] - ETA: 4:50 - loss: 753.1499 - logits_profile_predictions_loss: 690.6358 - logcount_predictions_loss: 3.0200 406/2487 [===>..........................] - ETA: 4:50 - loss: 753.1006 - logits_profile_predictions_loss: 690.6052 - logcount_predictions_loss: 3.0191 407/2487 [===>..........................] - ETA: 4:50 - loss: 753.0521 - logits_profile_predictions_loss: 690.5751 - logcount_predictions_loss: 3.0182 408/2487 [===>..........................] - ETA: 4:50 - loss: 753.0038 - logits_profile_predictions_loss: 690.5451 - logcount_predictions_loss: 3.0173 409/2487 [===>..........................] - ETA: 4:50 - loss: 752.9554 - logits_profile_predictions_loss: 690.5151 - logcount_predictions_loss: 3.0164 410/2487 [===>..........................] - ETA: 4:50 - loss: 752.9072 - logits_profile_predictions_loss: 690.4851 - logcount_predictions_loss: 3.0155 411/2487 [===>..........................] - ETA: 4:50 - loss: 752.8591 - logits_profile_predictions_loss: 690.4551 - logcount_predictions_loss: 3.0147 412/2487 [===>..........................] - ETA: 4:49 - loss: 752.8106 - logits_profile_predictions_loss: 690.4248 - logcount_predictions_loss: 3.0138 413/2487 [===>..........................] - ETA: 4:49 - loss: 752.7620 - logits_profile_predictions_loss: 690.3943 - logcount_predictions_loss: 3.0129 414/2487 [===>..........................] - ETA: 4:49 - loss: 752.7133 - logits_profile_predictions_loss: 690.3635 - logcount_predictions_loss: 3.0121 415/2487 [====>.........................] - ETA: 4:49 - loss: 752.6652 - logits_profile_predictions_loss: 690.3334 - logcount_predictions_loss: 3.0112 416/2487 [====>.........................] - ETA: 4:49 - loss: 752.6169 - logits_profile_predictions_loss: 690.3030 - logcount_predictions_loss: 3.0103 417/2487 [====>.........................] - ETA: 4:49 - loss: 752.5694 - logits_profile_predictions_loss: 690.2731 - logcount_predictions_loss: 3.0095 418/2487 [====>.........................] - ETA: 4:49 - loss: 752.5222 - logits_profile_predictions_loss: 690.2436 - logcount_predictions_loss: 3.0086 419/2487 [====>.........................] - ETA: 4:48 - loss: 752.4744 - logits_profile_predictions_loss: 690.2133 - logcount_predictions_loss: 3.0078 420/2487 [====>.........................] - ETA: 4:48 - loss: 752.4273 - logits_profile_predictions_loss: 690.1837 - logcount_predictions_loss: 3.0069 421/2487 [====>.........................] - ETA: 4:48 - loss: 752.3798 - logits_profile_predictions_loss: 690.1536 - logcount_predictions_loss: 3.0061 422/2487 [====>.........................] - ETA: 4:48 - loss: 752.3327 - logits_profile_predictions_loss: 690.1239 - logcount_predictions_loss: 3.0052 423/2487 [====>.........................] - ETA: 4:48 - loss: 752.2855 - logits_profile_predictions_loss: 690.0939 - logcount_predictions_loss: 3.0044 424/2487 [====>.........................] - ETA: 4:48 - loss: 752.2401 - 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[====>.........................] - ETA: 4:47 - loss: 751.9220 - logits_profile_predictions_loss: 689.8654 - logcount_predictions_loss: 2.9979 432/2487 [====>.........................] - ETA: 4:47 - loss: 751.8761 - logits_profile_predictions_loss: 689.8363 - logcount_predictions_loss: 2.9971 433/2487 [====>.........................] - ETA: 4:46 - loss: 751.8305 - logits_profile_predictions_loss: 689.8072 - logcount_predictions_loss: 2.9963 434/2487 [====>.........................] - ETA: 4:46 - loss: 751.7847 - logits_profile_predictions_loss: 689.7780 - logcount_predictions_loss: 2.9955 435/2487 [====>.........................] - ETA: 4:46 - loss: 751.7392 - logits_profile_predictions_loss: 689.7490 - logcount_predictions_loss: 2.9947 436/2487 [====>.........................] - ETA: 4:46 - loss: 751.6932 - logits_profile_predictions_loss: 689.7195 - logcount_predictions_loss: 2.9939 437/2487 [====>.........................] - ETA: 4:46 - loss: 751.6474 - logits_profile_predictions_loss: 689.6901 - logcount_predictions_loss: 2.9931 438/2487 [====>.........................] - ETA: 4:46 - loss: 751.6020 - logits_profile_predictions_loss: 689.6610 - logcount_predictions_loss: 2.9923 439/2487 [====>.........................] - ETA: 4:46 - loss: 751.5568 - logits_profile_predictions_loss: 689.6320 - logcount_predictions_loss: 2.9915 440/2487 [====>.........................] - ETA: 4:46 - loss: 751.5117 - logits_profile_predictions_loss: 689.6031 - logcount_predictions_loss: 2.9907 441/2487 [====>.........................] - ETA: 4:45 - loss: 751.4666 - logits_profile_predictions_loss: 689.5741 - logcount_predictions_loss: 2.9900 442/2487 [====>.........................] - ETA: 4:45 - loss: 751.4219 - logits_profile_predictions_loss: 689.5455 - logcount_predictions_loss: 2.9892 443/2487 [====>.........................] - ETA: 4:45 - loss: 751.3766 - logits_profile_predictions_loss: 689.5162 - logcount_predictions_loss: 2.9884 444/2487 [====>.........................] - ETA: 4:45 - loss: 751.3309 - logits_profile_predictions_loss: 689.4866 - logcount_predictions_loss: 2.9876 445/2487 [====>.........................] - ETA: 4:45 - loss: 751.2855 - logits_profile_predictions_loss: 689.4571 - logcount_predictions_loss: 2.9869 446/2487 [====>.........................] - ETA: 4:45 - loss: 751.2396 - logits_profile_predictions_loss: 689.4271 - logcount_predictions_loss: 2.9861 447/2487 [====>.........................] - ETA: 4:45 - loss: 751.1938 - logits_profile_predictions_loss: 689.3972 - logcount_predictions_loss: 2.9853 448/2487 [====>.........................] - ETA: 4:44 - loss: 751.1481 - logits_profile_predictions_loss: 689.3673 - logcount_predictions_loss: 2.9846 449/2487 [====>.........................] - ETA: 4:44 - loss: 751.1018 - logits_profile_predictions_loss: 689.3369 - logcount_predictions_loss: 2.9838 450/2487 [====>.........................] - ETA: 4:44 - loss: 751.0553 - logits_profile_predictions_loss: 689.3062 - logcount_predictions_loss: 2.9830 451/2487 [====>.........................] - ETA: 4:44 - loss: 751.0087 - logits_profile_predictions_loss: 689.2754 - logcount_predictions_loss: 2.9823 452/2487 [====>.........................] - ETA: 4:44 - loss: 750.9624 - logits_profile_predictions_loss: 689.2448 - logcount_predictions_loss: 2.9815 453/2487 [====>.........................] - ETA: 4:44 - loss: 750.9163 - logits_profile_predictions_loss: 689.2144 - logcount_predictions_loss: 2.9808 454/2487 [====>.........................] - ETA: 4:44 - loss: 750.8703 - logits_profile_predictions_loss: 689.1840 - logcount_predictions_loss: 2.9800 455/2487 [====>.........................] - ETA: 4:43 - loss: 750.8249 - logits_profile_predictions_loss: 689.1540 - logcount_predictions_loss: 2.9793 456/2487 [====>.........................] - ETA: 4:43 - loss: 750.7792 - logits_profile_predictions_loss: 689.1237 - logcount_predictions_loss: 2.9785 457/2487 [====>.........................] - ETA: 4:43 - loss: 750.7336 - logits_profile_predictions_loss: 689.0936 - logcount_predictions_loss: 2.9778 458/2487 [====>.........................] - ETA: 4:43 - loss: 750.6881 - logits_profile_predictions_loss: 689.0633 - logcount_predictions_loss: 2.9770 459/2487 [====>.........................] - ETA: 4:43 - loss: 750.6428 - logits_profile_predictions_loss: 689.0333 - logcount_predictions_loss: 2.9763 460/2487 [====>.........................] - ETA: 4:43 - loss: 750.5976 - logits_profile_predictions_loss: 689.0033 - logcount_predictions_loss: 2.9756 461/2487 [====>.........................] - ETA: 4:43 - loss: 750.5526 - logits_profile_predictions_loss: 688.9734 - logcount_predictions_loss: 2.9748 462/2487 [====>.........................] - ETA: 4:43 - loss: 750.5079 - logits_profile_predictions_loss: 688.9437 - logcount_predictions_loss: 2.9741 463/2487 [====>.........................] - ETA: 4:42 - loss: 750.4639 - logits_profile_predictions_loss: 688.9146 - logcount_predictions_loss: 2.9734 464/2487 [====>.........................] - ETA: 4:42 - loss: 750.4197 - logits_profile_predictions_loss: 688.8852 - logcount_predictions_loss: 2.9727 465/2487 [====>.........................] - ETA: 4:42 - loss: 750.3754 - logits_profile_predictions_loss: 688.8558 - logcount_predictions_loss: 2.9719 466/2487 [====>.........................] - ETA: 4:42 - loss: 750.3308 - logits_profile_predictions_loss: 688.8260 - logcount_predictions_loss: 2.9712 467/2487 [====>.........................] - ETA: 4:42 - loss: 750.2867 - logits_profile_predictions_loss: 688.7966 - logcount_predictions_loss: 2.9705 468/2487 [====>.........................] - ETA: 4:42 - loss: 750.2427 - logits_profile_predictions_loss: 688.7674 - logcount_predictions_loss: 2.9698 469/2487 [====>.........................] - ETA: 4:42 - loss: 750.1991 - logits_profile_predictions_loss: 688.7383 - logcount_predictions_loss: 2.9691 470/2487 [====>.........................] - ETA: 4:41 - loss: 750.1557 - logits_profile_predictions_loss: 688.7094 - logcount_predictions_loss: 2.9684 471/2487 [====>.........................] - ETA: 4:41 - loss: 750.1126 - logits_profile_predictions_loss: 688.6808 - logcount_predictions_loss: 2.9677 472/2487 [====>.........................] - ETA: 4:41 - loss: 750.0698 - logits_profile_predictions_loss: 688.6523 - logcount_predictions_loss: 2.9670 473/2487 [====>.........................] - ETA: 4:41 - loss: 750.0272 - logits_profile_predictions_loss: 688.6240 - logcount_predictions_loss: 2.9663 474/2487 [====>.........................] - ETA: 4:41 - loss: 749.9851 - logits_profile_predictions_loss: 688.5961 - logcount_predictions_loss: 2.9656 475/2487 [====>.........................] - ETA: 4:41 - loss: 749.9432 - logits_profile_predictions_loss: 688.5683 - logcount_predictions_loss: 2.9650 476/2487 [====>.........................] - ETA: 4:41 - loss: 749.9014 - 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loss: 633.4556 - logits_profile_predictions_loss: 625.1083 - logcount_predictions_loss: 0.4032 56/2487 [..............................] - ETA: 5:38 - loss: 633.3622 - logits_profile_predictions_loss: 625.0096 - logcount_predictions_loss: 0.4035 57/2487 [..............................] - ETA: 5:38 - loss: 633.2742 - logits_profile_predictions_loss: 624.9168 - logcount_predictions_loss: 0.4037 58/2487 [..............................] - ETA: 5:37 - loss: 633.2173 - logits_profile_predictions_loss: 624.8549 - logcount_predictions_loss: 0.4040 59/2487 [..............................] - ETA: 5:37 - loss: 633.1913 - logits_profile_predictions_loss: 624.8236 - logcount_predictions_loss: 0.4042 60/2487 [..............................] - ETA: 5:37 - loss: 633.1655 - logits_profile_predictions_loss: 624.7928 - logcount_predictions_loss: 0.4045 61/2487 [..............................] - ETA: 5:37 - loss: 633.1404 - logits_profile_predictions_loss: 624.7633 - logcount_predictions_loss: 0.4047 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logits_profile_predictions_loss: 621.9902 - logcount_predictions_loss: 0.4120 180/2487 [=>............................] - ETA: 5:21 - loss: 630.5086 - logits_profile_predictions_loss: 621.9798 - logcount_predictions_loss: 0.4120 181/2487 [=>............................] - ETA: 5:21 - loss: 630.4999 - logits_profile_predictions_loss: 621.9706 - logcount_predictions_loss: 0.4120 182/2487 [=>............................] - ETA: 5:21 - loss: 630.4896 - logits_profile_predictions_loss: 621.9597 - logcount_predictions_loss: 0.4121 183/2487 [=>............................] - ETA: 5:21 - loss: 630.4804 - logits_profile_predictions_loss: 621.9499 - logcount_predictions_loss: 0.4121 184/2487 [=>............................] - ETA: 5:21 - loss: 630.4713 - logits_profile_predictions_loss: 621.9403 - logcount_predictions_loss: 0.4121 185/2487 [=>............................] - ETA: 5:21 - loss: 630.4624 - logits_profile_predictions_loss: 621.9309 - logcount_predictions_loss: 0.4122 186/2487 [=>............................] - ETA: 5:21 - loss: 630.4546 - logits_profile_predictions_loss: 621.9225 - logcount_predictions_loss: 0.4122 187/2487 [=>............................] - ETA: 5:20 - loss: 630.4466 - logits_profile_predictions_loss: 621.9140 - logcount_predictions_loss: 0.4122 188/2487 [=>............................] - ETA: 5:20 - loss: 630.4400 - logits_profile_predictions_loss: 621.9069 - logcount_predictions_loss: 0.4122 189/2487 [=>............................] - ETA: 5:20 - loss: 630.4342 - logits_profile_predictions_loss: 621.9007 - logcount_predictions_loss: 0.4122 190/2487 [=>............................] - ETA: 5:20 - loss: 630.4272 - logits_profile_predictions_loss: 621.8931 - logcount_predictions_loss: 0.4123 191/2487 [=>............................] - ETA: 5:20 - loss: 630.4192 - logits_profile_predictions_loss: 621.8846 - logcount_predictions_loss: 0.4123 192/2487 [=>............................] - ETA: 5:20 - loss: 630.4122 - logits_profile_predictions_loss: 621.8772 - logcount_predictions_loss: 0.4123 193/2487 [=>............................] - ETA: 5:20 - loss: 630.4047 - logits_profile_predictions_loss: 621.8693 - logcount_predictions_loss: 0.4123 194/2487 [=>............................] - ETA: 5:19 - loss: 630.3954 - logits_profile_predictions_loss: 621.8597 - logcount_predictions_loss: 0.4124 195/2487 [=>............................] - ETA: 5:19 - loss: 630.3857 - logits_profile_predictions_loss: 621.8496 - logcount_predictions_loss: 0.4124 196/2487 [=>............................] - ETA: 5:19 - loss: 630.3744 - logits_profile_predictions_loss: 621.8379 - logcount_predictions_loss: 0.4124 197/2487 [=>............................] - ETA: 5:19 - loss: 630.3647 - logits_profile_predictions_loss: 621.8279 - logcount_predictions_loss: 0.4124 198/2487 [=>............................] - ETA: 5:19 - loss: 630.3525 - logits_profile_predictions_loss: 621.8155 - logcount_predictions_loss: 0.4124 199/2487 [=>............................] - ETA: 5:19 - loss: 630.3393 - logits_profile_predictions_loss: 621.8021 - logcount_predictions_loss: 0.4124 200/2487 [=>............................] - ETA: 5:19 - loss: 630.3251 - logits_profile_predictions_loss: 621.7876 - logcount_predictions_loss: 0.4124 201/2487 [=>............................] - ETA: 5:18 - loss: 630.3137 - logits_profile_predictions_loss: 621.7760 - logcount_predictions_loss: 0.4124 202/2487 [=>............................] - ETA: 5:18 - loss: 630.3037 - logits_profile_predictions_loss: 621.7658 - logcount_predictions_loss: 0.4125 203/2487 [=>............................] - ETA: 5:18 - loss: 630.2950 - logits_profile_predictions_loss: 621.7569 - logcount_predictions_loss: 0.4125 204/2487 [=>............................] - ETA: 5:18 - loss: 630.2853 - logits_profile_predictions_loss: 621.7469 - logcount_predictions_loss: 0.4125 205/2487 [=>............................] - ETA: 5:18 - loss: 630.2740 - 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logits_profile_predictions_loss: 619.0167 - logcount_predictions_loss: 0.4162 336/2487 [===>..........................] - ETA: 4:59 - loss: 627.6130 - logits_profile_predictions_loss: 618.9972 - logcount_predictions_loss: 0.4162 337/2487 [===>..........................] - ETA: 4:59 - loss: 627.5943 - logits_profile_predictions_loss: 618.9780 - logcount_predictions_loss: 0.4162 338/2487 [===>..........................] - ETA: 4:59 - loss: 627.5750 - logits_profile_predictions_loss: 618.9582 - logcount_predictions_loss: 0.4163 339/2487 [===>..........................] - ETA: 4:59 - loss: 627.5559 - logits_profile_predictions_loss: 618.9386 - logcount_predictions_loss: 0.4163 340/2487 [===>..........................] - ETA: 4:59 - loss: 627.5368 - logits_profile_predictions_loss: 618.9190 - logcount_predictions_loss: 0.4163 341/2487 [===>..........................] - ETA: 4:59 - loss: 627.5177 - logits_profile_predictions_loss: 618.8995 - logcount_predictions_loss: 0.4163 342/2487 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logits_profile_predictions_loss: 618.7717 - logcount_predictions_loss: 0.4165 349/2487 [===>..........................] - ETA: 4:57 - loss: 627.3745 - logits_profile_predictions_loss: 618.7531 - logcount_predictions_loss: 0.4165 350/2487 [===>..........................] - ETA: 4:57 - loss: 627.3569 - logits_profile_predictions_loss: 618.7352 - logcount_predictions_loss: 0.4165 351/2487 [===>..........................] - ETA: 4:57 - loss: 627.3394 - logits_profile_predictions_loss: 618.7175 - logcount_predictions_loss: 0.4165 352/2487 [===>..........................] - ETA: 4:57 - loss: 627.3223 - logits_profile_predictions_loss: 618.7001 - logcount_predictions_loss: 0.4165 353/2487 [===>..........................] - ETA: 4:57 - loss: 627.3053 - logits_profile_predictions_loss: 618.6827 - logcount_predictions_loss: 0.4165 354/2487 [===>..........................] - ETA: 4:57 - loss: 627.2880 - logits_profile_predictions_loss: 618.6652 - logcount_predictions_loss: 0.4166 355/2487 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logits_profile_predictions_loss: 617.7604 - logcount_predictions_loss: 0.4170 414/2487 [===>..........................] - ETA: 4:48 - loss: 626.3778 - logits_profile_predictions_loss: 617.7462 - logcount_predictions_loss: 0.4170 415/2487 [====>.........................] - ETA: 4:48 - loss: 626.3637 - logits_profile_predictions_loss: 617.7321 - logcount_predictions_loss: 0.4170 416/2487 [====>.........................] - ETA: 4:48 - loss: 626.3504 - logits_profile_predictions_loss: 617.7187 - logcount_predictions_loss: 0.4170 417/2487 [====>.........................] - ETA: 4:48 - loss: 626.3375 - logits_profile_predictions_loss: 617.7057 - logcount_predictions_loss: 0.4170 418/2487 [====>.........................] - ETA: 4:48 - loss: 626.3245 - logits_profile_predictions_loss: 617.6927 - logcount_predictions_loss: 0.4170 419/2487 [====>.........................] - ETA: 4:48 - loss: 626.3114 - logits_profile_predictions_loss: 617.6795 - logcount_predictions_loss: 0.4170 420/2487 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logits_profile_predictions_loss: 617.5907 - logcount_predictions_loss: 0.4170 427/2487 [====>.........................] - ETA: 4:47 - loss: 626.2102 - logits_profile_predictions_loss: 617.5779 - logcount_predictions_loss: 0.4170 428/2487 [====>.........................] - ETA: 4:46 - loss: 626.1976 - logits_profile_predictions_loss: 617.5653 - logcount_predictions_loss: 0.4170 429/2487 [====>.........................] - ETA: 4:46 - loss: 626.1852 - logits_profile_predictions_loss: 617.5529 - logcount_predictions_loss: 0.4170 430/2487 [====>.........................] - ETA: 4:46 - loss: 626.1726 - logits_profile_predictions_loss: 617.5404 - logcount_predictions_loss: 0.4170 431/2487 [====>.........................] - ETA: 4:46 - loss: 626.1600 - logits_profile_predictions_loss: 617.5278 - logcount_predictions_loss: 0.4170 432/2487 [====>.........................] - ETA: 4:46 - loss: 626.1473 - logits_profile_predictions_loss: 617.5151 - logcount_predictions_loss: 0.4170 433/2487 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logits_profile_predictions_loss: 608.3323 - logcount_predictions_loss: 0.3865 403/2487 [===>..........................] - ETA: 4:50 - loss: 616.3266 - logits_profile_predictions_loss: 608.3254 - logcount_predictions_loss: 0.3865 404/2487 [===>..........................] - ETA: 4:49 - loss: 616.3201 - logits_profile_predictions_loss: 608.3190 - logcount_predictions_loss: 0.3865 405/2487 [===>..........................] - ETA: 4:49 - loss: 616.3135 - logits_profile_predictions_loss: 608.3126 - logcount_predictions_loss: 0.3865 406/2487 [===>..........................] - ETA: 4:49 - loss: 616.3069 - logits_profile_predictions_loss: 608.3062 - logcount_predictions_loss: 0.3865 407/2487 [===>..........................] - ETA: 4:49 - loss: 616.3001 - logits_profile_predictions_loss: 608.2996 - logcount_predictions_loss: 0.3865 408/2487 [===>..........................] - ETA: 4:49 - loss: 616.2929 - logits_profile_predictions_loss: 608.2926 - logcount_predictions_loss: 0.3865 409/2487 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logits_profile_predictions_loss: 608.1639 - logcount_predictions_loss: 0.3863 429/2487 [====>.........................] - ETA: 4:46 - loss: 616.1531 - logits_profile_predictions_loss: 608.1573 - logcount_predictions_loss: 0.3863 430/2487 [====>.........................] - ETA: 4:46 - loss: 616.1460 - logits_profile_predictions_loss: 608.1504 - logcount_predictions_loss: 0.3863 431/2487 [====>.........................] - ETA: 4:46 - loss: 616.1387 - logits_profile_predictions_loss: 608.1433 - logcount_predictions_loss: 0.3863 432/2487 [====>.........................] - ETA: 4:45 - loss: 616.1318 - logits_profile_predictions_loss: 608.1366 - logcount_predictions_loss: 0.3862 433/2487 [====>.........................] - ETA: 4:45 - loss: 616.1247 - logits_profile_predictions_loss: 608.1297 - logcount_predictions_loss: 0.3862 434/2487 [====>.........................] - ETA: 4:45 - loss: 616.1179 - logits_profile_predictions_loss: 608.1231 - logcount_predictions_loss: 0.3862 435/2487 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loss: 583.2661 - logits_profile_predictions_loss: 576.3374 - logcount_predictions_loss: 0.3347 24/2487 [..............................] - ETA: 5:43 - loss: 583.5488 - logits_profile_predictions_loss: 576.6276 - logcount_predictions_loss: 0.3344 25/2487 [..............................] - ETA: 5:43 - loss: 583.8626 - logits_profile_predictions_loss: 576.9496 - logcount_predictions_loss: 0.3340 26/2487 [..............................] - ETA: 5:42 - loss: 584.1351 - logits_profile_predictions_loss: 577.2287 - logcount_predictions_loss: 0.3336 27/2487 [..............................] - ETA: 5:42 - loss: 584.4796 - logits_profile_predictions_loss: 577.5799 - logcount_predictions_loss: 0.3333 28/2487 [..............................] - ETA: 5:42 - loss: 584.8646 - logits_profile_predictions_loss: 577.9735 - logcount_predictions_loss: 0.3329 29/2487 [..............................] - ETA: 5:42 - loss: 585.1822 - logits_profile_predictions_loss: 578.2990 - logcount_predictions_loss: 0.3325 30/2487 [..............................] - ETA: 5:42 - loss: 585.5011 - logits_profile_predictions_loss: 578.6227 - logcount_predictions_loss: 0.3323 31/2487 [..............................] - ETA: 5:42 - loss: 585.7663 - logits_profile_predictions_loss: 578.8935 - logcount_predictions_loss: 0.3320 32/2487 [..............................] - ETA: 5:41 - loss: 586.0328 - logits_profile_predictions_loss: 579.1642 - logcount_predictions_loss: 0.3318 33/2487 [..............................] - ETA: 5:41 - loss: 586.3205 - logits_profile_predictions_loss: 579.4550 - logcount_predictions_loss: 0.3317 34/2487 [..............................] - ETA: 5:41 - loss: 586.6360 - logits_profile_predictions_loss: 579.7725 - logcount_predictions_loss: 0.3316 35/2487 [..............................] - ETA: 5:41 - loss: 586.9398 - logits_profile_predictions_loss: 580.0784 - logcount_predictions_loss: 0.3315 36/2487 [..............................] - ETA: 5:40 - loss: 587.2270 - 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logits_profile_predictions_loss: 587.9972 - logcount_predictions_loss: 0.3235 155/2487 [>.............................] - ETA: 5:24 - loss: 594.7292 - logits_profile_predictions_loss: 588.0321 - logcount_predictions_loss: 0.3235 156/2487 [>.............................] - ETA: 5:24 - loss: 594.7649 - logits_profile_predictions_loss: 588.0679 - logcount_predictions_loss: 0.3235 157/2487 [>.............................] - ETA: 5:24 - loss: 594.8024 - logits_profile_predictions_loss: 588.1054 - logcount_predictions_loss: 0.3235 158/2487 [>.............................] - ETA: 5:24 - loss: 594.8357 - logits_profile_predictions_loss: 588.1388 - logcount_predictions_loss: 0.3235 159/2487 [>.............................] - ETA: 5:24 - loss: 594.8675 - logits_profile_predictions_loss: 588.1708 - logcount_predictions_loss: 0.3235 160/2487 [>.............................] - ETA: 5:24 - loss: 594.8996 - logits_profile_predictions_loss: 588.2030 - logcount_predictions_loss: 0.3235 161/2487 [>.............................] - ETA: 5:23 - loss: 594.9318 - logits_profile_predictions_loss: 588.2353 - logcount_predictions_loss: 0.3235 162/2487 [>.............................] - ETA: 5:23 - loss: 594.9663 - logits_profile_predictions_loss: 588.2699 - logcount_predictions_loss: 0.3235 163/2487 [>.............................] - ETA: 5:23 - loss: 595.0023 - logits_profile_predictions_loss: 588.3061 - logcount_predictions_loss: 0.3235 164/2487 [>.............................] - ETA: 5:23 - loss: 595.0380 - logits_profile_predictions_loss: 588.3420 - logcount_predictions_loss: 0.3235 165/2487 [>.............................] - ETA: 5:23 - loss: 595.0741 - logits_profile_predictions_loss: 588.3784 - logcount_predictions_loss: 0.3235 166/2487 [=>............................] - ETA: 5:23 - loss: 595.1097 - logits_profile_predictions_loss: 588.4142 - logcount_predictions_loss: 0.3235 167/2487 [=>............................] - ETA: 5:23 - loss: 595.1438 - logits_profile_predictions_loss: 588.4485 - logcount_predictions_loss: 0.3234 168/2487 [=>............................] - ETA: 5:22 - loss: 595.1780 - logits_profile_predictions_loss: 588.4830 - logcount_predictions_loss: 0.3234 169/2487 [=>............................] - ETA: 5:22 - loss: 595.2116 - logits_profile_predictions_loss: 588.5167 - logcount_predictions_loss: 0.3234 170/2487 [=>............................] - ETA: 5:22 - loss: 595.2445 - logits_profile_predictions_loss: 588.5497 - logcount_predictions_loss: 0.3234 171/2487 [=>............................] - ETA: 5:22 - loss: 595.2755 - logits_profile_predictions_loss: 588.5808 - logcount_predictions_loss: 0.3234 172/2487 [=>............................] - ETA: 5:22 - loss: 595.3059 - logits_profile_predictions_loss: 588.6113 - logcount_predictions_loss: 0.3234 173/2487 [=>............................] - ETA: 5:22 - loss: 595.3361 - logits_profile_predictions_loss: 588.6416 - logcount_predictions_loss: 0.3234 174/2487 [=>............................] - ETA: 5:22 - loss: 595.3675 - logits_profile_predictions_loss: 588.6731 - logcount_predictions_loss: 0.3234 175/2487 [=>............................] - ETA: 5:21 - loss: 595.3972 - logits_profile_predictions_loss: 588.7028 - logcount_predictions_loss: 0.3234 176/2487 [=>............................] - ETA: 5:21 - loss: 595.4294 - logits_profile_predictions_loss: 588.7350 - logcount_predictions_loss: 0.3234 177/2487 [=>............................] - ETA: 5:21 - loss: 595.4622 - logits_profile_predictions_loss: 588.7680 - logcount_predictions_loss: 0.3234 178/2487 [=>............................] - ETA: 5:21 - loss: 595.4963 - logits_profile_predictions_loss: 588.8022 - logcount_predictions_loss: 0.3234 179/2487 [=>............................] - ETA: 5:21 - loss: 595.5285 - logits_profile_predictions_loss: 588.8345 - logcount_predictions_loss: 0.3234 180/2487 [=>............................] - ETA: 5:21 - loss: 595.5589 - logits_profile_predictions_loss: 588.8650 - logcount_predictions_loss: 0.3234 181/2487 [=>............................] - ETA: 5:21 - loss: 595.5889 - logits_profile_predictions_loss: 588.8951 - logcount_predictions_loss: 0.3234 182/2487 [=>............................] - ETA: 5:21 - loss: 595.6182 - logits_profile_predictions_loss: 588.9245 - logcount_predictions_loss: 0.3234 183/2487 [=>............................] - ETA: 5:20 - loss: 595.6474 - logits_profile_predictions_loss: 588.9538 - logcount_predictions_loss: 0.3234 184/2487 [=>............................] - ETA: 5:20 - loss: 595.6766 - logits_profile_predictions_loss: 588.9831 - logcount_predictions_loss: 0.3234 185/2487 [=>............................] - ETA: 5:20 - loss: 595.7058 - logits_profile_predictions_loss: 589.0125 - logcount_predictions_loss: 0.3233 186/2487 [=>............................] - ETA: 5:20 - loss: 595.7370 - logits_profile_predictions_loss: 589.0439 - logcount_predictions_loss: 0.3233 187/2487 [=>............................] - ETA: 5:20 - loss: 595.7714 - logits_profile_predictions_loss: 589.0784 - logcount_predictions_loss: 0.3233 188/2487 [=>............................] - ETA: 5:20 - loss: 595.8050 - logits_profile_predictions_loss: 589.1120 - logcount_predictions_loss: 0.3233 189/2487 [=>............................] - ETA: 5:20 - loss: 595.8381 - logits_profile_predictions_loss: 589.1452 - logcount_predictions_loss: 0.3233 190/2487 [=>............................] - ETA: 5:19 - loss: 595.8700 - logits_profile_predictions_loss: 589.1772 - logcount_predictions_loss: 0.3233 191/2487 [=>............................] - ETA: 5:19 - loss: 595.9007 - logits_profile_predictions_loss: 589.2079 - logcount_predictions_loss: 0.3233 192/2487 [=>............................] - ETA: 5:19 - loss: 595.9343 - logits_profile_predictions_loss: 589.2415 - logcount_predictions_loss: 0.3233 193/2487 [=>............................] - ETA: 5:19 - loss: 595.9667 - logits_profile_predictions_loss: 589.2739 - logcount_predictions_loss: 0.3233 194/2487 [=>............................] - ETA: 5:19 - loss: 595.9989 - logits_profile_predictions_loss: 589.3061 - logcount_predictions_loss: 0.3233 195/2487 [=>............................] - ETA: 5:19 - loss: 596.0296 - logits_profile_predictions_loss: 589.3369 - logcount_predictions_loss: 0.3233 196/2487 [=>............................] - ETA: 5:19 - loss: 596.0648 - logits_profile_predictions_loss: 589.3718 - logcount_predictions_loss: 0.3233 197/2487 [=>............................] - ETA: 5:18 - loss: 596.1006 - logits_profile_predictions_loss: 589.4076 - logcount_predictions_loss: 0.3233 198/2487 [=>............................] - ETA: 5:18 - loss: 596.1383 - logits_profile_predictions_loss: 589.4450 - logcount_predictions_loss: 0.3233 199/2487 [=>............................] - ETA: 5:18 - loss: 596.1771 - logits_profile_predictions_loss: 589.4838 - logcount_predictions_loss: 0.3234 200/2487 [=>............................] - ETA: 5:18 - loss: 596.2147 - logits_profile_predictions_loss: 589.5212 - logcount_predictions_loss: 0.3234 201/2487 [=>............................] - ETA: 5:18 - loss: 596.2519 - logits_profile_predictions_loss: 589.5582 - logcount_predictions_loss: 0.3234 202/2487 [=>............................] - ETA: 5:18 - loss: 596.2874 - logits_profile_predictions_loss: 589.5935 - logcount_predictions_loss: 0.3234 203/2487 [=>............................] - ETA: 5:18 - loss: 596.3215 - logits_profile_predictions_loss: 589.6274 - logcount_predictions_loss: 0.3234 204/2487 [=>............................] - ETA: 5:17 - loss: 596.3561 - logits_profile_predictions_loss: 589.6618 - logcount_predictions_loss: 0.3234 205/2487 [=>............................] - ETA: 5:17 - loss: 596.3892 - logits_profile_predictions_loss: 589.6946 - logcount_predictions_loss: 0.3234 206/2487 [=>............................] - ETA: 5:17 - loss: 596.4195 - 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[=>............................] - ETA: 5:13 - loss: 597.3273 - logits_profile_predictions_loss: 590.6320 - logcount_predictions_loss: 0.3234 240/2487 [=>............................] - ETA: 5:12 - loss: 597.3524 - logits_profile_predictions_loss: 590.6571 - logcount_predictions_loss: 0.3234 241/2487 [=>............................] - ETA: 5:12 - loss: 597.3769 - logits_profile_predictions_loss: 590.6816 - logcount_predictions_loss: 0.3234 242/2487 [=>............................] - ETA: 5:12 - loss: 597.4022 - logits_profile_predictions_loss: 590.7070 - logcount_predictions_loss: 0.3234 243/2487 [=>............................] - ETA: 5:12 - loss: 597.4271 - logits_profile_predictions_loss: 590.7318 - logcount_predictions_loss: 0.3234 244/2487 [=>............................] - ETA: 5:12 - loss: 597.4519 - logits_profile_predictions_loss: 590.7566 - logcount_predictions_loss: 0.3234 245/2487 [=>............................] - ETA: 5:12 - loss: 597.4744 - 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val_logits_profile_predictions_loss: 596.7377 - val_logcount_predictions_loss: 0.3061 + +Epoch 00005: val_loss did not improve from 598.51538 +Epoch 6/50 + 1/2487 [..............................] - ETA: 6:26 - loss: 574.0286 - logits_profile_predictions_loss: 566.4327 - logcount_predictions_loss: 0.3669 2/2487 [..............................] - ETA: 6:04 - loss: 590.5215 - logits_profile_predictions_loss: 583.3001 - logcount_predictions_loss: 0.3489 3/2487 [..............................] - ETA: 5:54 - loss: 589.9193 - logits_profile_predictions_loss: 582.8766 - logcount_predictions_loss: 0.3402 4/2487 [..............................] - ETA: 5:51 - loss: 591.2223 - logits_profile_predictions_loss: 584.4276 - logcount_predictions_loss: 0.3282 5/2487 [..............................] - ETA: 5:49 - loss: 594.1130 - logits_profile_predictions_loss: 587.4642 - logcount_predictions_loss: 0.3212 6/2487 [..............................] - ETA: 5:49 - loss: 597.2094 - logits_profile_predictions_loss: 590.5838 - logcount_predictions_loss: 0.3201 7/2487 [..............................] - ETA: 5:48 - loss: 599.2219 - logits_profile_predictions_loss: 592.6034 - logcount_predictions_loss: 0.3197 8/2487 [..............................] - ETA: 5:47 - loss: 599.0643 - logits_profile_predictions_loss: 592.4548 - logcount_predictions_loss: 0.3193 9/2487 [..............................] - ETA: 5:47 - loss: 600.0282 - logits_profile_predictions_loss: 593.4046 - logcount_predictions_loss: 0.3200 10/2487 [..............................] - ETA: 5:46 - loss: 600.8696 - logits_profile_predictions_loss: 594.2317 - logcount_predictions_loss: 0.3207 11/2487 [..............................] - ETA: 5:46 - loss: 601.9966 - logits_profile_predictions_loss: 595.3543 - logcount_predictions_loss: 0.3209 12/2487 [..............................] - ETA: 5:45 - loss: 602.8749 - logits_profile_predictions_loss: 596.2279 - logcount_predictions_loss: 0.3211 13/2487 [..............................] - ETA: 5:45 - loss: 603.6076 - logits_profile_predictions_loss: 596.9631 - logcount_predictions_loss: 0.3210 14/2487 [..............................] - ETA: 5:45 - loss: 604.4459 - logits_profile_predictions_loss: 597.8083 - logcount_predictions_loss: 0.3207 15/2487 [..............................] - ETA: 5:45 - loss: 604.8687 - logits_profile_predictions_loss: 598.2328 - logcount_predictions_loss: 0.3206 16/2487 [..............................] - ETA: 5:44 - loss: 605.2922 - logits_profile_predictions_loss: 598.6626 - logcount_predictions_loss: 0.3203 17/2487 [..............................] - ETA: 5:44 - loss: 605.5982 - logits_profile_predictions_loss: 598.9758 - logcount_predictions_loss: 0.3199 18/2487 [..............................] - ETA: 5:44 - loss: 605.8847 - logits_profile_predictions_loss: 599.2703 - logcount_predictions_loss: 0.3195 19/2487 [..............................] - ETA: 5:44 - loss: 606.0968 - logits_profile_predictions_loss: 599.4776 - logcount_predictions_loss: 0.3198 20/2487 [..............................] - ETA: 5:43 - loss: 606.1593 - logits_profile_predictions_loss: 599.5281 - logcount_predictions_loss: 0.3203 21/2487 [..............................] - ETA: 5:43 - loss: 606.3174 - logits_profile_predictions_loss: 599.6772 - logcount_predictions_loss: 0.3208 22/2487 [..............................] - ETA: 5:43 - loss: 606.4208 - logits_profile_predictions_loss: 599.7745 - logcount_predictions_loss: 0.3211 23/2487 [..............................] - ETA: 5:43 - loss: 606.4774 - logits_profile_predictions_loss: 599.8275 - logcount_predictions_loss: 0.3213 24/2487 [..............................] - ETA: 5:43 - loss: 606.4716 - logits_profile_predictions_loss: 599.8153 - logcount_predictions_loss: 0.3216 25/2487 [..............................] - ETA: 5:43 - loss: 606.4136 - logits_profile_predictions_loss: 599.7538 - logcount_predictions_loss: 0.3217 26/2487 [..............................] - ETA: 5:42 - loss: 606.3253 - logits_profile_predictions_loss: 599.6603 - logcount_predictions_loss: 0.3220 27/2487 [..............................] - ETA: 5:42 - loss: 606.2970 - logits_profile_predictions_loss: 599.6262 - logcount_predictions_loss: 0.3223 28/2487 [..............................] - ETA: 5:42 - loss: 606.2817 - logits_profile_predictions_loss: 599.6062 - logcount_predictions_loss: 0.3225 29/2487 [..............................] - ETA: 5:42 - loss: 606.3564 - logits_profile_predictions_loss: 599.6741 - logcount_predictions_loss: 0.3228 30/2487 [..............................] - ETA: 5:42 - loss: 606.4323 - logits_profile_predictions_loss: 599.7445 - logcount_predictions_loss: 0.3231 31/2487 [..............................] - ETA: 5:42 - loss: 606.5156 - logits_profile_predictions_loss: 599.8224 - logcount_predictions_loss: 0.3233 32/2487 [..............................] - ETA: 5:42 - loss: 606.6184 - logits_profile_predictions_loss: 599.9209 - logcount_predictions_loss: 0.3236 33/2487 [..............................] - ETA: 5:41 - loss: 606.7052 - logits_profile_predictions_loss: 600.0037 - logcount_predictions_loss: 0.3237 34/2487 [..............................] - ETA: 5:41 - loss: 606.7408 - logits_profile_predictions_loss: 600.0373 - logcount_predictions_loss: 0.3238 35/2487 [..............................] - ETA: 5:41 - loss: 606.7851 - logits_profile_predictions_loss: 600.0801 - logcount_predictions_loss: 0.3239 36/2487 [..............................] - ETA: 5:41 - loss: 606.7894 - logits_profile_predictions_loss: 600.0815 - logcount_predictions_loss: 0.3241 37/2487 [..............................] - ETA: 5:41 - loss: 606.7568 - logits_profile_predictions_loss: 600.0478 - logcount_predictions_loss: 0.3241 38/2487 [..............................] - ETA: 5:41 - loss: 606.7209 - logits_profile_predictions_loss: 600.0109 - logcount_predictions_loss: 0.3242 39/2487 [..............................] - ETA: 5:40 - loss: 606.6899 - logits_profile_predictions_loss: 599.9798 - logcount_predictions_loss: 0.3242 40/2487 [..............................] - ETA: 5:40 - loss: 606.6274 - logits_profile_predictions_loss: 599.9183 - logcount_predictions_loss: 0.3241 41/2487 [..............................] - ETA: 5:40 - loss: 606.5197 - logits_profile_predictions_loss: 599.8117 - logcount_predictions_loss: 0.3241 42/2487 [..............................] - ETA: 5:40 - loss: 606.4047 - logits_profile_predictions_loss: 599.6971 - logcount_predictions_loss: 0.3240 43/2487 [..............................] - ETA: 5:40 - loss: 606.2674 - logits_profile_predictions_loss: 599.5594 - logcount_predictions_loss: 0.3241 44/2487 [..............................] - ETA: 5:40 - loss: 606.1473 - logits_profile_predictions_loss: 599.4386 - logcount_predictions_loss: 0.3241 45/2487 [..............................] - ETA: 5:39 - loss: 606.0540 - logits_profile_predictions_loss: 599.3439 - logcount_predictions_loss: 0.3242 46/2487 [..............................] - ETA: 5:39 - loss: 605.9539 - logits_profile_predictions_loss: 599.2427 - logcount_predictions_loss: 0.3242 47/2487 [..............................] - ETA: 5:39 - loss: 605.8516 - logits_profile_predictions_loss: 599.1406 - logcount_predictions_loss: 0.3242 48/2487 [..............................] - ETA: 5:39 - loss: 605.7671 - logits_profile_predictions_loss: 599.0558 - logcount_predictions_loss: 0.3242 49/2487 [..............................] - ETA: 5:39 - loss: 605.7035 - logits_profile_predictions_loss: 598.9926 - logcount_predictions_loss: 0.3242 50/2487 [..............................] - ETA: 5:39 - loss: 605.6200 - logits_profile_predictions_loss: 598.9097 - logcount_predictions_loss: 0.3242 51/2487 [..............................] - ETA: 5:38 - loss: 605.5303 - logits_profile_predictions_loss: 598.8202 - logcount_predictions_loss: 0.3242 52/2487 [..............................] - ETA: 5:38 - loss: 605.4496 - logits_profile_predictions_loss: 598.7400 - logcount_predictions_loss: 0.3241 53/2487 [..............................] - ETA: 5:38 - loss: 605.3791 - logits_profile_predictions_loss: 598.6705 - logcount_predictions_loss: 0.3241 54/2487 [..............................] - ETA: 5:38 - loss: 605.3129 - logits_profile_predictions_loss: 598.6061 - logcount_predictions_loss: 0.3240 55/2487 [..............................] - ETA: 5:38 - loss: 605.2364 - logits_profile_predictions_loss: 598.5317 - logcount_predictions_loss: 0.3239 56/2487 [..............................] - ETA: 5:38 - loss: 605.1909 - logits_profile_predictions_loss: 598.4889 - logcount_predictions_loss: 0.3238 57/2487 [..............................] - ETA: 5:38 - loss: 605.1336 - logits_profile_predictions_loss: 598.4328 - logcount_predictions_loss: 0.3237 58/2487 [..............................] - ETA: 5:37 - loss: 605.0868 - logits_profile_predictions_loss: 598.3871 - logcount_predictions_loss: 0.3237 59/2487 [..............................] - ETA: 5:37 - loss: 605.0203 - logits_profile_predictions_loss: 598.3223 - logcount_predictions_loss: 0.3236 60/2487 [..............................] - ETA: 5:37 - loss: 604.9470 - logits_profile_predictions_loss: 598.2507 - logcount_predictions_loss: 0.3235 61/2487 [..............................] - ETA: 5:37 - loss: 604.8788 - logits_profile_predictions_loss: 598.1843 - logcount_predictions_loss: 0.3234 62/2487 [..............................] - ETA: 5:37 - loss: 604.8215 - logits_profile_predictions_loss: 598.1286 - logcount_predictions_loss: 0.3233 63/2487 [..............................] - ETA: 5:37 - loss: 604.7685 - logits_profile_predictions_loss: 598.0779 - logcount_predictions_loss: 0.3232 64/2487 [..............................] - ETA: 5:37 - loss: 604.7171 - logits_profile_predictions_loss: 598.0282 - logcount_predictions_loss: 0.3231 65/2487 [..............................] - ETA: 5:36 - loss: 604.6638 - logits_profile_predictions_loss: 597.9769 - logcount_predictions_loss: 0.3230 66/2487 [..............................] - ETA: 5:36 - loss: 604.6113 - logits_profile_predictions_loss: 597.9262 - logcount_predictions_loss: 0.3229 67/2487 [..............................] - ETA: 5:36 - loss: 604.5768 - logits_profile_predictions_loss: 597.8938 - logcount_predictions_loss: 0.3229 68/2487 [..............................] - ETA: 5:36 - loss: 604.5488 - logits_profile_predictions_loss: 597.8677 - logcount_predictions_loss: 0.3228 69/2487 [..............................] - ETA: 5:36 - loss: 604.5302 - logits_profile_predictions_loss: 597.8511 - logcount_predictions_loss: 0.3227 70/2487 [..............................] - ETA: 5:36 - loss: 604.5098 - logits_profile_predictions_loss: 597.8326 - logcount_predictions_loss: 0.3226 71/2487 [..............................] - ETA: 5:35 - loss: 604.4946 - logits_profile_predictions_loss: 597.8194 - logcount_predictions_loss: 0.3225 72/2487 [..............................] - ETA: 5:35 - loss: 604.4820 - logits_profile_predictions_loss: 597.8085 - logcount_predictions_loss: 0.3224 73/2487 [..............................] - ETA: 5:35 - loss: 604.4600 - logits_profile_predictions_loss: 597.7883 - logcount_predictions_loss: 0.3223 74/2487 [..............................] - ETA: 5:35 - loss: 604.4466 - logits_profile_predictions_loss: 597.7765 - logcount_predictions_loss: 0.3222 75/2487 [..............................] - ETA: 5:35 - loss: 604.4332 - logits_profile_predictions_loss: 597.7645 - logcount_predictions_loss: 0.3222 76/2487 [..............................] - ETA: 5:35 - loss: 604.4131 - logits_profile_predictions_loss: 597.7459 - logcount_predictions_loss: 0.3221 77/2487 [..............................] - ETA: 5:35 - loss: 604.3840 - logits_profile_predictions_loss: 597.7185 - logcount_predictions_loss: 0.3220 78/2487 [..............................] - ETA: 5:34 - loss: 604.3524 - logits_profile_predictions_loss: 597.6881 - logcount_predictions_loss: 0.3219 79/2487 [..............................] - ETA: 5:34 - loss: 604.3200 - logits_profile_predictions_loss: 597.6572 - logcount_predictions_loss: 0.3219 80/2487 [..............................] - ETA: 5:34 - loss: 604.2797 - logits_profile_predictions_loss: 597.6184 - logcount_predictions_loss: 0.3218 81/2487 [..............................] - ETA: 5:34 - loss: 604.2520 - logits_profile_predictions_loss: 597.5918 - logcount_predictions_loss: 0.3217 82/2487 [..............................] - ETA: 5:34 - loss: 604.2250 - logits_profile_predictions_loss: 597.5657 - logcount_predictions_loss: 0.3217 83/2487 [>.............................] - ETA: 5:34 - loss: 604.1989 - logits_profile_predictions_loss: 597.5405 - logcount_predictions_loss: 0.3217 84/2487 [>.............................] - ETA: 5:34 - loss: 604.1698 - logits_profile_predictions_loss: 597.5125 - logcount_predictions_loss: 0.3216 85/2487 [>.............................] - ETA: 5:33 - loss: 604.1365 - logits_profile_predictions_loss: 597.4804 - logcount_predictions_loss: 0.3216 86/2487 [>.............................] - ETA: 5:33 - loss: 604.0971 - logits_profile_predictions_loss: 597.4421 - logcount_predictions_loss: 0.3215 87/2487 [>.............................] - ETA: 5:33 - loss: 604.0520 - logits_profile_predictions_loss: 597.3981 - logcount_predictions_loss: 0.3214 88/2487 [>.............................] - ETA: 5:33 - loss: 604.0095 - logits_profile_predictions_loss: 597.3568 - logcount_predictions_loss: 0.3214 89/2487 [>.............................] - ETA: 5:33 - loss: 603.9675 - logits_profile_predictions_loss: 597.3161 - logcount_predictions_loss: 0.3213 90/2487 [>.............................] - ETA: 5:33 - loss: 603.9236 - logits_profile_predictions_loss: 597.2735 - logcount_predictions_loss: 0.3213 91/2487 [>.............................] - ETA: 5:33 - loss: 603.8784 - logits_profile_predictions_loss: 597.2297 - logcount_predictions_loss: 0.3212 92/2487 [>.............................] - ETA: 5:33 - loss: 603.8448 - logits_profile_predictions_loss: 597.1975 - logcount_predictions_loss: 0.3211 93/2487 [>.............................] - ETA: 5:32 - loss: 603.8082 - logits_profile_predictions_loss: 597.1623 - logcount_predictions_loss: 0.3211 94/2487 [>.............................] - ETA: 5:32 - loss: 603.7796 - logits_profile_predictions_loss: 597.1350 - logcount_predictions_loss: 0.3210 95/2487 [>.............................] - ETA: 5:32 - loss: 603.7575 - logits_profile_predictions_loss: 597.1138 - logcount_predictions_loss: 0.3210 96/2487 [>.............................] - ETA: 5:32 - loss: 603.7376 - logits_profile_predictions_loss: 597.0946 - logcount_predictions_loss: 0.3209 97/2487 [>.............................] - ETA: 5:32 - loss: 603.7193 - logits_profile_predictions_loss: 597.0772 - logcount_predictions_loss: 0.3209 98/2487 [>.............................] - ETA: 5:32 - loss: 603.6951 - logits_profile_predictions_loss: 597.0536 - logcount_predictions_loss: 0.3208 99/2487 [>.............................] - ETA: 5:32 - loss: 603.6738 - logits_profile_predictions_loss: 597.0329 - logcount_predictions_loss: 0.3208 100/2487 [>.............................] - ETA: 5:31 - loss: 603.6489 - logits_profile_predictions_loss: 597.0088 - logcount_predictions_loss: 0.3208 101/2487 [>.............................] - ETA: 5:31 - loss: 603.6271 - logits_profile_predictions_loss: 596.9877 - logcount_predictions_loss: 0.3207 102/2487 [>.............................] - ETA: 5:31 - loss: 603.5988 - logits_profile_predictions_loss: 596.9603 - logcount_predictions_loss: 0.3207 103/2487 [>.............................] - ETA: 5:31 - loss: 603.5687 - logits_profile_predictions_loss: 596.9310 - logcount_predictions_loss: 0.3207 104/2487 [>.............................] - ETA: 5:31 - loss: 603.5365 - logits_profile_predictions_loss: 596.8997 - logcount_predictions_loss: 0.3206 105/2487 [>.............................] - ETA: 5:31 - loss: 603.5042 - logits_profile_predictions_loss: 596.8684 - logcount_predictions_loss: 0.3206 106/2487 [>.............................] - ETA: 5:31 - loss: 603.4717 - logits_profile_predictions_loss: 596.8370 - logcount_predictions_loss: 0.3205 107/2487 [>.............................] - ETA: 5:30 - loss: 603.4436 - logits_profile_predictions_loss: 596.8101 - logcount_predictions_loss: 0.3205 108/2487 [>.............................] - ETA: 5:30 - loss: 603.4201 - logits_profile_predictions_loss: 596.7877 - logcount_predictions_loss: 0.3204 109/2487 [>.............................] - ETA: 5:30 - loss: 603.3988 - logits_profile_predictions_loss: 596.7674 - logcount_predictions_loss: 0.3204 110/2487 [>.............................] - ETA: 5:30 - loss: 603.3794 - logits_profile_predictions_loss: 596.7493 - logcount_predictions_loss: 0.3203 111/2487 [>.............................] - ETA: 5:30 - loss: 603.3602 - logits_profile_predictions_loss: 596.7315 - logcount_predictions_loss: 0.3202 112/2487 [>.............................] - ETA: 5:30 - loss: 603.3382 - logits_profile_predictions_loss: 596.7109 - logcount_predictions_loss: 0.3202 113/2487 [>.............................] - ETA: 5:30 - loss: 603.3207 - logits_profile_predictions_loss: 596.6950 - logcount_predictions_loss: 0.3201 114/2487 [>.............................] - ETA: 5:29 - loss: 603.3014 - logits_profile_predictions_loss: 596.6773 - logcount_predictions_loss: 0.3200 115/2487 [>.............................] - ETA: 5:29 - loss: 603.2796 - logits_profile_predictions_loss: 596.6571 - logcount_predictions_loss: 0.3199 116/2487 [>.............................] - ETA: 5:29 - loss: 603.2526 - logits_profile_predictions_loss: 596.6316 - logcount_predictions_loss: 0.3199 117/2487 [>.............................] - ETA: 5:29 - loss: 603.2294 - logits_profile_predictions_loss: 596.6101 - logcount_predictions_loss: 0.3198 118/2487 [>.............................] - ETA: 5:29 - loss: 603.2104 - logits_profile_predictions_loss: 596.5924 - logcount_predictions_loss: 0.3197 119/2487 [>.............................] - ETA: 5:29 - loss: 603.1979 - logits_profile_predictions_loss: 596.5811 - logcount_predictions_loss: 0.3197 120/2487 [>.............................] - ETA: 5:29 - loss: 603.1851 - logits_profile_predictions_loss: 596.5697 - logcount_predictions_loss: 0.3196 121/2487 [>.............................] - ETA: 5:28 - loss: 603.1683 - logits_profile_predictions_loss: 596.5542 - logcount_predictions_loss: 0.3195 122/2487 [>.............................] - ETA: 5:28 - loss: 603.1469 - logits_profile_predictions_loss: 596.5341 - logcount_predictions_loss: 0.3195 123/2487 [>.............................] - ETA: 5:28 - loss: 603.1272 - logits_profile_predictions_loss: 596.5157 - logcount_predictions_loss: 0.3194 124/2487 [>.............................] - ETA: 5:28 - loss: 603.1086 - logits_profile_predictions_loss: 596.4984 - logcount_predictions_loss: 0.3193 125/2487 [>.............................] - ETA: 5:28 - loss: 603.0853 - logits_profile_predictions_loss: 596.4764 - logcount_predictions_loss: 0.3193 126/2487 [>.............................] - ETA: 5:28 - loss: 603.0619 - logits_profile_predictions_loss: 596.4543 - logcount_predictions_loss: 0.3192 127/2487 [>.............................] - ETA: 5:28 - loss: 603.0420 - logits_profile_predictions_loss: 596.4356 - logcount_predictions_loss: 0.3192 128/2487 [>.............................] - ETA: 5:27 - loss: 603.0263 - logits_profile_predictions_loss: 596.4210 - logcount_predictions_loss: 0.3191 129/2487 [>.............................] - ETA: 5:27 - loss: 603.0123 - logits_profile_predictions_loss: 596.4082 - logcount_predictions_loss: 0.3190 130/2487 [>.............................] - ETA: 5:27 - loss: 602.9967 - logits_profile_predictions_loss: 596.3936 - logcount_predictions_loss: 0.3190 131/2487 [>.............................] - ETA: 5:27 - loss: 602.9816 - 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loss: 597.0484 - logits_profile_predictions_loss: 590.8114 - logcount_predictions_loss: 0.3013 2469/2487 [============================>.] - ETA: 2s - loss: 597.0485 - logits_profile_predictions_loss: 590.8115 - logcount_predictions_loss: 0.3013 2470/2487 [============================>.] - ETA: 2s - loss: 597.0487 - logits_profile_predictions_loss: 590.8116 - logcount_predictions_loss: 0.3013 2471/2487 [============================>.] - ETA: 2s - loss: 597.0488 - logits_profile_predictions_loss: 590.8118 - logcount_predictions_loss: 0.3013 2472/2487 [============================>.] - ETA: 2s - loss: 597.0489 - logits_profile_predictions_loss: 590.8119 - logcount_predictions_loss: 0.3013 2473/2487 [============================>.] - ETA: 1s - loss: 597.0490 - logits_profile_predictions_loss: 590.8120 - logcount_predictions_loss: 0.3013 2474/2487 [============================>.] - ETA: 1s - loss: 597.0491 - logits_profile_predictions_loss: 590.8122 - logcount_predictions_loss: 0.3013 2475/2487 [============================>.] - ETA: 1s - loss: 597.0493 - logits_profile_predictions_loss: 590.8123 - logcount_predictions_loss: 0.3013 2476/2487 [============================>.] - ETA: 1s - loss: 597.0494 - logits_profile_predictions_loss: 590.8124 - logcount_predictions_loss: 0.3013 2477/2487 [============================>.] - ETA: 1s - loss: 597.0495 - logits_profile_predictions_loss: 590.8126 - logcount_predictions_loss: 0.3013 2478/2487 [============================>.] - ETA: 1s - loss: 597.0497 - logits_profile_predictions_loss: 590.8127 - logcount_predictions_loss: 0.3013 2479/2487 [============================>.] - ETA: 1s - loss: 597.0498 - logits_profile_predictions_loss: 590.8129 - logcount_predictions_loss: 0.3013 2480/2487 [============================>.] - ETA: 0s - loss: 597.0499 - logits_profile_predictions_loss: 590.8130 - logcount_predictions_loss: 0.3013 2481/2487 [============================>.] - ETA: 0s - loss: 597.0501 - logits_profile_predictions_loss: 590.8132 - logcount_predictions_loss: 0.3013 2482/2487 [============================>.] - ETA: 0s - loss: 597.0502 - logits_profile_predictions_loss: 590.8133 - logcount_predictions_loss: 0.3013 2483/2487 [============================>.] - ETA: 0s - loss: 597.0504 - logits_profile_predictions_loss: 590.8135 - logcount_predictions_loss: 0.3013 2484/2487 [============================>.] - ETA: 0s - loss: 597.0505 - logits_profile_predictions_loss: 590.8136 - logcount_predictions_loss: 0.3013 2485/2487 [============================>.] - ETA: 0s - loss: 597.0507 - logits_profile_predictions_loss: 590.8138 - logcount_predictions_loss: 0.3013 2486/2487 [============================>.] - ETA: 0s - loss: 597.0508 - logits_profile_predictions_loss: 590.8140 - logcount_predictions_loss: 0.3013 2487/2487 [==============================] - ETA: 0s - loss: 597.0510 - logits_profile_predictions_loss: 590.8141 - logcount_predictions_loss: 0.3013 2487/2487 [==============================] - 363s 146ms/step - loss: 597.0511 - logits_profile_predictions_loss: 590.8143 - logcount_predictions_loss: 0.3013 - val_loss: 601.1439 - val_logits_profile_predictions_loss: 595.0482 - val_logcount_predictions_loss: 0.2945 + +Epoch 00007: val_loss did not improve from 597.83765 +Epoch 8/50 + 1/2487 [..............................] - ETA: 6:24 - loss: 621.6036 - logits_profile_predictions_loss: 616.4825 - logcount_predictions_loss: 0.2474 2/2487 [..............................] - ETA: 5:46 - loss: 601.5580 - logits_profile_predictions_loss: 596.5067 - logcount_predictions_loss: 0.2440 3/2487 [..............................] - ETA: 5:46 - loss: 594.9269 - logits_profile_predictions_loss: 589.7138 - logcount_predictions_loss: 0.2518 4/2487 [..............................] - ETA: 5:46 - loss: 593.2928 - logits_profile_predictions_loss: 588.0056 - logcount_predictions_loss: 0.2554 5/2487 [..............................] - ETA: 5:46 - loss: 597.8538 - logits_profile_predictions_loss: 592.5105 - logcount_predictions_loss: 0.2581 6/2487 [..............................] - ETA: 5:46 - loss: 600.7768 - logits_profile_predictions_loss: 595.3868 - logcount_predictions_loss: 0.2604 7/2487 [..............................] - ETA: 5:45 - loss: 602.9546 - logits_profile_predictions_loss: 597.5222 - logcount_predictions_loss: 0.2624 8/2487 [..............................] - ETA: 5:45 - loss: 604.1112 - logits_profile_predictions_loss: 598.6399 - logcount_predictions_loss: 0.2643 9/2487 [..............................] - ETA: 5:45 - loss: 605.2830 - logits_profile_predictions_loss: 599.7489 - logcount_predictions_loss: 0.2673 10/2487 [..............................] - ETA: 5:45 - loss: 605.5775 - logits_profile_predictions_loss: 600.0072 - logcount_predictions_loss: 0.2691 11/2487 [..............................] - ETA: 5:45 - loss: 605.3220 - logits_profile_predictions_loss: 599.7310 - logcount_predictions_loss: 0.2701 12/2487 [..............................] - ETA: 5:45 - loss: 605.2922 - logits_profile_predictions_loss: 599.6823 - logcount_predictions_loss: 0.2710 13/2487 [..............................] - ETA: 5:45 - loss: 604.7204 - logits_profile_predictions_loss: 599.0938 - logcount_predictions_loss: 0.2718 14/2487 [..............................] - ETA: 5:44 - loss: 604.2560 - logits_profile_predictions_loss: 598.6108 - logcount_predictions_loss: 0.2727 15/2487 [..............................] - ETA: 5:44 - loss: 603.8751 - logits_profile_predictions_loss: 598.2197 - logcount_predictions_loss: 0.2732 16/2487 [..............................] - ETA: 5:44 - loss: 603.4169 - logits_profile_predictions_loss: 597.7586 - logcount_predictions_loss: 0.2733 17/2487 [..............................] - ETA: 5:44 - loss: 603.0772 - logits_profile_predictions_loss: 597.4211 - logcount_predictions_loss: 0.2732 18/2487 [..............................] - ETA: 5:44 - loss: 602.6657 - logits_profile_predictions_loss: 597.0146 - logcount_predictions_loss: 0.2730 19/2487 [..............................] - ETA: 5:44 - loss: 602.0914 - logits_profile_predictions_loss: 596.4426 - logcount_predictions_loss: 0.2729 20/2487 [..............................] - ETA: 5:43 - loss: 601.4560 - logits_profile_predictions_loss: 595.8085 - logcount_predictions_loss: 0.2728 21/2487 [..............................] - ETA: 5:43 - loss: 600.8904 - logits_profile_predictions_loss: 595.2428 - logcount_predictions_loss: 0.2728 22/2487 [..............................] - ETA: 5:43 - loss: 600.4472 - logits_profile_predictions_loss: 594.7952 - logcount_predictions_loss: 0.2730 23/2487 [..............................] - ETA: 5:43 - loss: 600.1426 - logits_profile_predictions_loss: 594.4873 - logcount_predictions_loss: 0.2732 24/2487 [..............................] - ETA: 5:43 - loss: 599.8396 - logits_profile_predictions_loss: 594.1827 - logcount_predictions_loss: 0.2733 25/2487 [..............................] - ETA: 5:43 - loss: 599.5819 - logits_profile_predictions_loss: 593.9233 - logcount_predictions_loss: 0.2734 26/2487 [..............................] - ETA: 5:42 - loss: 599.2573 - logits_profile_predictions_loss: 593.5996 - logcount_predictions_loss: 0.2733 27/2487 [..............................] - ETA: 5:42 - loss: 598.9018 - logits_profile_predictions_loss: 593.2446 - logcount_predictions_loss: 0.2733 28/2487 [..............................] - ETA: 5:42 - loss: 598.5117 - logits_profile_predictions_loss: 592.8534 - logcount_predictions_loss: 0.2733 29/2487 [..............................] - ETA: 5:42 - loss: 598.1303 - logits_profile_predictions_loss: 592.4687 - logcount_predictions_loss: 0.2735 30/2487 [..............................] - ETA: 5:42 - loss: 597.7931 - logits_profile_predictions_loss: 592.1247 - logcount_predictions_loss: 0.2738 31/2487 [..............................] - ETA: 5:42 - loss: 597.4601 - logits_profile_predictions_loss: 591.7854 - logcount_predictions_loss: 0.2741 32/2487 [..............................] - ETA: 5:42 - loss: 597.1866 - logits_profile_predictions_loss: 591.5014 - logcount_predictions_loss: 0.2746 33/2487 [..............................] - ETA: 5:41 - loss: 596.9884 - logits_profile_predictions_loss: 591.2923 - logcount_predictions_loss: 0.2752 34/2487 [..............................] - ETA: 5:41 - loss: 596.7662 - logits_profile_predictions_loss: 591.0605 - logcount_predictions_loss: 0.2756 35/2487 [..............................] - ETA: 5:41 - loss: 596.5606 - logits_profile_predictions_loss: 590.8449 - logcount_predictions_loss: 0.2761 36/2487 [..............................] - ETA: 5:41 - loss: 596.3830 - logits_profile_predictions_loss: 590.6564 - logcount_predictions_loss: 0.2766 37/2487 [..............................] - ETA: 5:41 - loss: 596.1635 - logits_profile_predictions_loss: 590.4241 - logcount_predictions_loss: 0.2773 38/2487 [..............................] - ETA: 5:41 - loss: 595.9747 - logits_profile_predictions_loss: 590.2239 - logcount_predictions_loss: 0.2778 39/2487 [..............................] - ETA: 5:41 - loss: 595.8108 - logits_profile_predictions_loss: 590.0490 - logcount_predictions_loss: 0.2784 40/2487 [..............................] - ETA: 5:40 - loss: 595.6389 - logits_profile_predictions_loss: 589.8672 - logcount_predictions_loss: 0.2788 41/2487 [..............................] - ETA: 5:40 - loss: 595.4642 - logits_profile_predictions_loss: 589.6833 - logcount_predictions_loss: 0.2793 42/2487 [..............................] - ETA: 5:40 - loss: 595.3067 - logits_profile_predictions_loss: 589.5163 - logcount_predictions_loss: 0.2797 43/2487 [..............................] - ETA: 5:40 - loss: 595.1210 - logits_profile_predictions_loss: 589.3223 - logcount_predictions_loss: 0.2801 44/2487 [..............................] - ETA: 5:40 - loss: 594.9572 - logits_profile_predictions_loss: 589.1514 - logcount_predictions_loss: 0.2805 45/2487 [..............................] - ETA: 5:40 - loss: 594.7924 - logits_profile_predictions_loss: 588.9803 - logcount_predictions_loss: 0.2808 46/2487 [..............................] - ETA: 5:40 - loss: 594.6528 - logits_profile_predictions_loss: 588.8356 - logcount_predictions_loss: 0.2810 47/2487 [..............................] - ETA: 5:40 - loss: 594.5077 - logits_profile_predictions_loss: 588.6865 - logcount_predictions_loss: 0.2812 48/2487 [..............................] - ETA: 5:40 - loss: 594.3970 - logits_profile_predictions_loss: 588.5724 - logcount_predictions_loss: 0.2814 49/2487 [..............................] - ETA: 5:40 - loss: 594.2669 - logits_profile_predictions_loss: 588.4389 - logcount_predictions_loss: 0.2815 50/2487 [..............................] - ETA: 5:40 - loss: 594.1347 - logits_profile_predictions_loss: 588.3036 - logcount_predictions_loss: 0.2817 51/2487 [..............................] - ETA: 5:39 - loss: 593.9923 - logits_profile_predictions_loss: 588.1566 - logcount_predictions_loss: 0.2819 52/2487 [..............................] - ETA: 5:39 - loss: 593.8641 - logits_profile_predictions_loss: 588.0238 - logcount_predictions_loss: 0.2821 53/2487 [..............................] - ETA: 5:39 - loss: 593.7508 - logits_profile_predictions_loss: 587.9064 - logcount_predictions_loss: 0.2823 54/2487 [..............................] - ETA: 5:39 - loss: 593.6262 - logits_profile_predictions_loss: 587.7778 - logcount_predictions_loss: 0.2825 55/2487 [..............................] - ETA: 5:39 - loss: 593.4923 - logits_profile_predictions_loss: 587.6409 - logcount_predictions_loss: 0.2827 56/2487 [..............................] - ETA: 5:38 - loss: 593.3467 - logits_profile_predictions_loss: 587.4923 - logcount_predictions_loss: 0.2828 57/2487 [..............................] - ETA: 5:38 - loss: 593.2154 - logits_profile_predictions_loss: 587.3582 - logcount_predictions_loss: 0.2830 58/2487 [..............................] - ETA: 5:38 - loss: 593.0971 - logits_profile_predictions_loss: 587.2372 - logcount_predictions_loss: 0.2831 59/2487 [..............................] - ETA: 5:38 - loss: 592.9603 - logits_profile_predictions_loss: 587.0979 - logcount_predictions_loss: 0.2832 60/2487 [..............................] - ETA: 5:38 - loss: 592.8404 - logits_profile_predictions_loss: 586.9751 - logcount_predictions_loss: 0.2833 61/2487 [..............................] - ETA: 5:38 - loss: 592.7258 - logits_profile_predictions_loss: 586.8576 - logcount_predictions_loss: 0.2835 62/2487 [..............................] - ETA: 5:38 - loss: 592.6289 - logits_profile_predictions_loss: 586.7583 - logcount_predictions_loss: 0.2836 63/2487 [..............................] - ETA: 5:38 - loss: 592.5528 - logits_profile_predictions_loss: 586.6793 - logcount_predictions_loss: 0.2837 64/2487 [..............................] - ETA: 5:37 - loss: 592.4734 - logits_profile_predictions_loss: 586.5973 - logcount_predictions_loss: 0.2839 65/2487 [..............................] - ETA: 5:37 - loss: 592.3992 - logits_profile_predictions_loss: 586.5206 - logcount_predictions_loss: 0.2840 66/2487 [..............................] - ETA: 5:37 - loss: 592.3158 - logits_profile_predictions_loss: 586.4352 - logcount_predictions_loss: 0.2841 67/2487 [..............................] - ETA: 5:37 - loss: 592.2380 - logits_profile_predictions_loss: 586.3555 - logcount_predictions_loss: 0.2842 68/2487 [..............................] - ETA: 5:37 - loss: 592.1742 - logits_profile_predictions_loss: 586.2900 - logcount_predictions_loss: 0.2843 69/2487 [..............................] - ETA: 5:37 - loss: 592.0992 - logits_profile_predictions_loss: 586.2133 - logcount_predictions_loss: 0.2843 70/2487 [..............................] - ETA: 5:37 - loss: 592.0234 - logits_profile_predictions_loss: 586.1361 - logcount_predictions_loss: 0.2844 71/2487 [..............................] - ETA: 5:37 - loss: 591.9442 - logits_profile_predictions_loss: 586.0558 - logcount_predictions_loss: 0.2845 72/2487 [..............................] - ETA: 5:37 - loss: 591.8808 - logits_profile_predictions_loss: 585.9913 - logcount_predictions_loss: 0.2845 73/2487 [..............................] - ETA: 5:36 - loss: 591.8299 - logits_profile_predictions_loss: 585.9395 - logcount_predictions_loss: 0.2846 74/2487 [..............................] - ETA: 5:36 - loss: 591.7745 - logits_profile_predictions_loss: 585.8833 - logcount_predictions_loss: 0.2846 75/2487 [..............................] - ETA: 5:36 - loss: 591.7169 - logits_profile_predictions_loss: 585.8249 - logcount_predictions_loss: 0.2846 76/2487 [..............................] - ETA: 5:36 - loss: 591.6655 - logits_profile_predictions_loss: 585.7727 - logcount_predictions_loss: 0.2847 77/2487 [..............................] - ETA: 5:36 - loss: 591.6186 - logits_profile_predictions_loss: 585.7253 - logcount_predictions_loss: 0.2847 78/2487 [..............................] - ETA: 5:36 - loss: 591.5732 - logits_profile_predictions_loss: 585.6793 - logcount_predictions_loss: 0.2847 79/2487 [..............................] - ETA: 5:36 - loss: 591.5329 - logits_profile_predictions_loss: 585.6380 - logcount_predictions_loss: 0.2848 80/2487 [..............................] - ETA: 5:35 - loss: 591.4943 - logits_profile_predictions_loss: 585.5985 - logcount_predictions_loss: 0.2848 81/2487 [..............................] - ETA: 5:35 - loss: 591.4574 - logits_profile_predictions_loss: 585.5606 - logcount_predictions_loss: 0.2849 82/2487 [..............................] - ETA: 5:35 - loss: 591.4183 - logits_profile_predictions_loss: 585.5206 - logcount_predictions_loss: 0.2849 83/2487 [>.............................] - ETA: 5:35 - loss: 591.3731 - logits_profile_predictions_loss: 585.4745 - logcount_predictions_loss: 0.2850 84/2487 [>.............................] - ETA: 5:35 - loss: 591.3421 - logits_profile_predictions_loss: 585.4426 - logcount_predictions_loss: 0.2850 85/2487 [>.............................] - ETA: 5:35 - loss: 591.3124 - logits_profile_predictions_loss: 585.4115 - logcount_predictions_loss: 0.2851 86/2487 [>.............................] - ETA: 5:35 - loss: 591.2871 - logits_profile_predictions_loss: 585.3852 - logcount_predictions_loss: 0.2851 87/2487 [>.............................] - ETA: 5:34 - loss: 591.2693 - logits_profile_predictions_loss: 585.3662 - logcount_predictions_loss: 0.2852 88/2487 [>.............................] - ETA: 5:34 - loss: 591.2522 - logits_profile_predictions_loss: 585.3472 - logcount_predictions_loss: 0.2853 89/2487 [>.............................] - ETA: 5:34 - loss: 591.2337 - logits_profile_predictions_loss: 585.3262 - logcount_predictions_loss: 0.2854 90/2487 [>.............................] - ETA: 5:34 - loss: 591.2199 - logits_profile_predictions_loss: 585.3100 - logcount_predictions_loss: 0.2855 91/2487 [>.............................] - ETA: 5:34 - loss: 591.2064 - logits_profile_predictions_loss: 585.2940 - logcount_predictions_loss: 0.2856 92/2487 [>.............................] - ETA: 5:34 - loss: 591.1963 - logits_profile_predictions_loss: 585.2815 - logcount_predictions_loss: 0.2857 93/2487 [>.............................] - ETA: 5:34 - loss: 591.1919 - logits_profile_predictions_loss: 585.2745 - logcount_predictions_loss: 0.2859 94/2487 [>.............................] - ETA: 5:33 - loss: 591.1799 - logits_profile_predictions_loss: 585.2600 - logcount_predictions_loss: 0.2860 95/2487 [>.............................] - ETA: 5:33 - loss: 591.1660 - logits_profile_predictions_loss: 585.2432 - logcount_predictions_loss: 0.2861 96/2487 [>.............................] - ETA: 5:33 - loss: 591.1448 - logits_profile_predictions_loss: 585.2186 - logcount_predictions_loss: 0.2863 97/2487 [>.............................] - ETA: 5:33 - loss: 591.1164 - logits_profile_predictions_loss: 585.1869 - logcount_predictions_loss: 0.2865 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logits_profile_predictions_loss: 585.1277 - logcount_predictions_loss: 0.2876 105/2487 [>.............................] - ETA: 5:32 - loss: 591.0910 - logits_profile_predictions_loss: 585.1330 - logcount_predictions_loss: 0.2878 106/2487 [>.............................] - ETA: 5:32 - loss: 591.0995 - logits_profile_predictions_loss: 585.1379 - logcount_predictions_loss: 0.2880 107/2487 [>.............................] - ETA: 5:32 - loss: 591.1062 - logits_profile_predictions_loss: 585.1411 - logcount_predictions_loss: 0.2882 108/2487 [>.............................] - ETA: 5:31 - loss: 591.1160 - logits_profile_predictions_loss: 585.1474 - logcount_predictions_loss: 0.2883 109/2487 [>.............................] - ETA: 5:31 - loss: 591.1304 - logits_profile_predictions_loss: 585.1585 - logcount_predictions_loss: 0.2885 110/2487 [>.............................] - ETA: 5:31 - loss: 591.1410 - logits_profile_predictions_loss: 585.1658 - logcount_predictions_loss: 0.2887 111/2487 [>.............................] - ETA: 5:31 - loss: 591.1474 - logits_profile_predictions_loss: 585.1689 - logcount_predictions_loss: 0.2888 112/2487 [>.............................] - ETA: 5:31 - loss: 591.1555 - logits_profile_predictions_loss: 585.1738 - logcount_predictions_loss: 0.2890 113/2487 [>.............................] - ETA: 5:31 - loss: 591.1637 - logits_profile_predictions_loss: 585.1787 - logcount_predictions_loss: 0.2891 114/2487 [>.............................] - ETA: 5:31 - loss: 591.1763 - logits_profile_predictions_loss: 585.1881 - logcount_predictions_loss: 0.2893 115/2487 [>.............................] - ETA: 5:31 - loss: 591.1954 - logits_profile_predictions_loss: 585.2039 - logcount_predictions_loss: 0.2894 116/2487 [>.............................] - ETA: 5:30 - loss: 591.2184 - logits_profile_predictions_loss: 585.2237 - logcount_predictions_loss: 0.2896 117/2487 [>.............................] - ETA: 5:30 - loss: 591.2397 - logits_profile_predictions_loss: 585.2418 - logcount_predictions_loss: 0.2898 118/2487 [>.............................] - ETA: 5:30 - loss: 591.2683 - logits_profile_predictions_loss: 585.2672 - logcount_predictions_loss: 0.2899 119/2487 [>.............................] - ETA: 5:30 - loss: 591.2937 - logits_profile_predictions_loss: 585.2895 - logcount_predictions_loss: 0.2901 120/2487 [>.............................] - ETA: 5:30 - loss: 591.3195 - logits_profile_predictions_loss: 585.3123 - logcount_predictions_loss: 0.2902 121/2487 [>.............................] - ETA: 5:30 - loss: 591.3465 - logits_profile_predictions_loss: 585.3363 - logcount_predictions_loss: 0.2903 122/2487 [>.............................] - ETA: 5:30 - loss: 591.3764 - logits_profile_predictions_loss: 585.3634 - logcount_predictions_loss: 0.2905 123/2487 [>.............................] - ETA: 5:29 - loss: 591.4060 - logits_profile_predictions_loss: 585.3902 - logcount_predictions_loss: 0.2906 124/2487 [>.............................] - ETA: 5:29 - loss: 591.4338 - logits_profile_predictions_loss: 585.4153 - logcount_predictions_loss: 0.2907 125/2487 [>.............................] - ETA: 5:29 - loss: 591.4623 - logits_profile_predictions_loss: 585.4411 - logcount_predictions_loss: 0.2909 126/2487 [>.............................] - ETA: 5:29 - loss: 591.4894 - logits_profile_predictions_loss: 585.4657 - logcount_predictions_loss: 0.2910 127/2487 [>.............................] - ETA: 5:29 - loss: 591.5174 - logits_profile_predictions_loss: 585.4913 - logcount_predictions_loss: 0.2911 128/2487 [>.............................] - ETA: 5:29 - loss: 591.5445 - logits_profile_predictions_loss: 585.5160 - logcount_predictions_loss: 0.2912 129/2487 [>.............................] - ETA: 5:29 - loss: 591.5693 - logits_profile_predictions_loss: 585.5386 - logcount_predictions_loss: 0.2913 130/2487 [>.............................] - ETA: 5:28 - loss: 591.5951 - logits_profile_predictions_loss: 585.5623 - logcount_predictions_loss: 0.2914 131/2487 [>.............................] - ETA: 5:28 - loss: 591.6220 - logits_profile_predictions_loss: 585.5871 - logcount_predictions_loss: 0.2915 132/2487 [>.............................] - ETA: 5:28 - loss: 591.6489 - logits_profile_predictions_loss: 585.6121 - logcount_predictions_loss: 0.2916 133/2487 [>.............................] - ETA: 5:28 - loss: 591.6777 - logits_profile_predictions_loss: 585.6392 - logcount_predictions_loss: 0.2917 134/2487 [>.............................] - ETA: 5:28 - loss: 591.7056 - logits_profile_predictions_loss: 585.6653 - logcount_predictions_loss: 0.2918 135/2487 [>.............................] - ETA: 5:28 - loss: 591.7364 - logits_profile_predictions_loss: 585.6941 - logcount_predictions_loss: 0.2919 136/2487 [>.............................] - ETA: 5:28 - loss: 591.7665 - logits_profile_predictions_loss: 585.7224 - logcount_predictions_loss: 0.2920 137/2487 [>.............................] - ETA: 5:27 - loss: 591.7920 - logits_profile_predictions_loss: 585.7461 - logcount_predictions_loss: 0.2921 138/2487 [>.............................] - ETA: 5:27 - loss: 591.8177 - logits_profile_predictions_loss: 585.7700 - logcount_predictions_loss: 0.2922 139/2487 [>.............................] - ETA: 5:27 - loss: 591.8478 - logits_profile_predictions_loss: 585.7984 - logcount_predictions_loss: 0.2922 140/2487 [>.............................] - ETA: 5:27 - loss: 591.8743 - logits_profile_predictions_loss: 585.8232 - logcount_predictions_loss: 0.2923 141/2487 [>.............................] - ETA: 5:27 - loss: 591.8994 - logits_profile_predictions_loss: 585.8468 - logcount_predictions_loss: 0.2924 142/2487 [>.............................] - ETA: 5:27 - loss: 591.9235 - logits_profile_predictions_loss: 585.8693 - logcount_predictions_loss: 0.2925 143/2487 [>.............................] - ETA: 5:27 - loss: 591.9453 - logits_profile_predictions_loss: 585.8895 - logcount_predictions_loss: 0.2926 144/2487 [>.............................] - ETA: 5:26 - loss: 591.9691 - logits_profile_predictions_loss: 585.9118 - logcount_predictions_loss: 0.2926 145/2487 [>.............................] - ETA: 5:26 - loss: 591.9927 - logits_profile_predictions_loss: 585.9339 - logcount_predictions_loss: 0.2927 146/2487 [>.............................] - ETA: 5:26 - loss: 592.0160 - logits_profile_predictions_loss: 585.9556 - logcount_predictions_loss: 0.2928 147/2487 [>.............................] - ETA: 5:26 - loss: 592.0373 - logits_profile_predictions_loss: 585.9754 - logcount_predictions_loss: 0.2928 148/2487 [>.............................] - ETA: 5:26 - loss: 592.0606 - logits_profile_predictions_loss: 585.9972 - logcount_predictions_loss: 0.2929 149/2487 [>.............................] - ETA: 5:26 - loss: 592.0847 - logits_profile_predictions_loss: 586.0199 - logcount_predictions_loss: 0.2930 150/2487 [>.............................] - ETA: 5:26 - loss: 592.1062 - logits_profile_predictions_loss: 586.0401 - logcount_predictions_loss: 0.2930 151/2487 [>.............................] - ETA: 5:25 - loss: 592.1270 - logits_profile_predictions_loss: 586.0597 - logcount_predictions_loss: 0.2931 152/2487 [>.............................] - ETA: 5:25 - loss: 592.1507 - logits_profile_predictions_loss: 586.0821 - logcount_predictions_loss: 0.2932 153/2487 [>.............................] - ETA: 5:25 - loss: 592.1725 - logits_profile_predictions_loss: 586.1026 - logcount_predictions_loss: 0.2932 154/2487 [>.............................] - ETA: 5:25 - loss: 592.1929 - logits_profile_predictions_loss: 586.1219 - logcount_predictions_loss: 0.2933 155/2487 [>.............................] - ETA: 5:25 - loss: 592.2114 - logits_profile_predictions_loss: 586.1392 - logcount_predictions_loss: 0.2933 156/2487 [>.............................] - ETA: 5:25 - loss: 592.2319 - logits_profile_predictions_loss: 586.1585 - logcount_predictions_loss: 0.2934 157/2487 [>.............................] - ETA: 5:25 - loss: 592.2529 - logits_profile_predictions_loss: 586.1784 - logcount_predictions_loss: 0.2935 158/2487 [>.............................] - ETA: 5:24 - loss: 592.2715 - logits_profile_predictions_loss: 586.1959 - logcount_predictions_loss: 0.2935 159/2487 [>.............................] - ETA: 5:24 - loss: 592.2891 - logits_profile_predictions_loss: 586.2123 - logcount_predictions_loss: 0.2936 160/2487 [>.............................] - ETA: 5:24 - loss: 592.3094 - logits_profile_predictions_loss: 586.2315 - logcount_predictions_loss: 0.2936 161/2487 [>.............................] - ETA: 5:24 - loss: 592.3283 - logits_profile_predictions_loss: 586.2494 - logcount_predictions_loss: 0.2937 162/2487 [>.............................] - ETA: 5:24 - loss: 592.3481 - logits_profile_predictions_loss: 586.2682 - logcount_predictions_loss: 0.2937 163/2487 [>.............................] - ETA: 5:24 - loss: 592.3677 - logits_profile_predictions_loss: 586.2868 - logcount_predictions_loss: 0.2938 164/2487 [>.............................] - ETA: 5:24 - loss: 592.3885 - logits_profile_predictions_loss: 586.3067 - logcount_predictions_loss: 0.2938 165/2487 [>.............................] - ETA: 5:23 - loss: 592.4091 - logits_profile_predictions_loss: 586.3264 - logcount_predictions_loss: 0.2939 166/2487 [=>............................] - ETA: 5:23 - loss: 592.4281 - logits_profile_predictions_loss: 586.3443 - logcount_predictions_loss: 0.2939 167/2487 [=>............................] - ETA: 5:23 - loss: 592.4474 - logits_profile_predictions_loss: 586.3626 - logcount_predictions_loss: 0.2940 168/2487 [=>............................] - ETA: 5:23 - loss: 592.4660 - logits_profile_predictions_loss: 586.3802 - logcount_predictions_loss: 0.2940 169/2487 [=>............................] - ETA: 5:23 - loss: 592.4803 - logits_profile_predictions_loss: 586.3937 - logcount_predictions_loss: 0.2940 170/2487 [=>............................] - ETA: 5:23 - loss: 592.4936 - logits_profile_predictions_loss: 586.4062 - logcount_predictions_loss: 0.2941 171/2487 [=>............................] - ETA: 5:23 - loss: 592.5060 - logits_profile_predictions_loss: 586.4179 - logcount_predictions_loss: 0.2941 172/2487 [=>............................] - ETA: 5:23 - loss: 592.5174 - logits_profile_predictions_loss: 586.4286 - logcount_predictions_loss: 0.2942 173/2487 [=>............................] - ETA: 5:23 - loss: 592.5320 - logits_profile_predictions_loss: 586.4424 - logcount_predictions_loss: 0.2942 174/2487 [=>............................] - ETA: 5:22 - loss: 592.5476 - logits_profile_predictions_loss: 586.4571 - logcount_predictions_loss: 0.2942 175/2487 [=>............................] - ETA: 5:22 - loss: 592.5613 - logits_profile_predictions_loss: 586.4698 - logcount_predictions_loss: 0.2943 176/2487 [=>............................] - ETA: 5:22 - loss: 592.5738 - logits_profile_predictions_loss: 586.4813 - logcount_predictions_loss: 0.2943 177/2487 [=>............................] - ETA: 5:22 - loss: 592.5875 - logits_profile_predictions_loss: 586.4941 - logcount_predictions_loss: 0.2944 178/2487 [=>............................] - ETA: 5:22 - loss: 592.6036 - logits_profile_predictions_loss: 586.5094 - logcount_predictions_loss: 0.2944 179/2487 [=>............................] - ETA: 5:22 - loss: 592.6219 - logits_profile_predictions_loss: 586.5268 - logcount_predictions_loss: 0.2945 180/2487 [=>............................] - ETA: 5:22 - loss: 592.6414 - logits_profile_predictions_loss: 586.5454 - logcount_predictions_loss: 0.2945 181/2487 [=>............................] - ETA: 5:21 - loss: 592.6606 - logits_profile_predictions_loss: 586.5637 - logcount_predictions_loss: 0.2945 182/2487 [=>............................] - ETA: 5:21 - loss: 592.6759 - 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[=>............................] - ETA: 5:20 - loss: 592.7940 - logits_profile_predictions_loss: 586.6907 - logcount_predictions_loss: 0.2948 190/2487 [=>............................] - ETA: 5:20 - loss: 592.8135 - logits_profile_predictions_loss: 586.7095 - logcount_predictions_loss: 0.2949 191/2487 [=>............................] - ETA: 5:20 - loss: 592.8322 - logits_profile_predictions_loss: 586.7276 - logcount_predictions_loss: 0.2949 192/2487 [=>............................] - ETA: 5:20 - loss: 592.8520 - logits_profile_predictions_loss: 586.7467 - logcount_predictions_loss: 0.2949 193/2487 [=>............................] - ETA: 5:20 - loss: 592.8712 - logits_profile_predictions_loss: 586.7654 - logcount_predictions_loss: 0.2950 194/2487 [=>............................] - ETA: 5:20 - loss: 592.8910 - logits_profile_predictions_loss: 586.7845 - logcount_predictions_loss: 0.2950 195/2487 [=>............................] - ETA: 5:20 - loss: 592.9100 - 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[=>............................] - ETA: 5:19 - loss: 593.0608 - logits_profile_predictions_loss: 586.9494 - logcount_predictions_loss: 0.2952 203/2487 [=>............................] - ETA: 5:18 - loss: 593.0835 - logits_profile_predictions_loss: 586.9713 - logcount_predictions_loss: 0.2953 204/2487 [=>............................] - ETA: 5:18 - loss: 593.1049 - logits_profile_predictions_loss: 586.9920 - logcount_predictions_loss: 0.2953 205/2487 [=>............................] - ETA: 5:18 - loss: 593.1259 - logits_profile_predictions_loss: 587.0123 - logcount_predictions_loss: 0.2953 206/2487 [=>............................] - ETA: 5:18 - loss: 593.1463 - logits_profile_predictions_loss: 587.0320 - logcount_predictions_loss: 0.2954 207/2487 [=>............................] - ETA: 5:18 - loss: 593.1664 - logits_profile_predictions_loss: 587.0515 - logcount_predictions_loss: 0.2954 208/2487 [=>............................] - ETA: 5:18 - loss: 593.1865 - logits_profile_predictions_loss: 587.0710 - logcount_predictions_loss: 0.2954 209/2487 [=>............................] - ETA: 5:18 - loss: 593.2071 - logits_profile_predictions_loss: 587.0909 - logcount_predictions_loss: 0.2955 210/2487 [=>............................] - ETA: 5:17 - loss: 593.2257 - logits_profile_predictions_loss: 587.1088 - logcount_predictions_loss: 0.2955 211/2487 [=>............................] - ETA: 5:17 - loss: 593.2436 - logits_profile_predictions_loss: 587.1259 - logcount_predictions_loss: 0.2955 212/2487 [=>............................] - ETA: 5:17 - loss: 593.2619 - logits_profile_predictions_loss: 587.1436 - logcount_predictions_loss: 0.2956 213/2487 [=>............................] - ETA: 5:17 - loss: 593.2806 - logits_profile_predictions_loss: 587.1617 - logcount_predictions_loss: 0.2956 214/2487 [=>............................] - ETA: 5:17 - loss: 593.2996 - logits_profile_predictions_loss: 587.1799 - logcount_predictions_loss: 0.2956 215/2487 [=>............................] - ETA: 5:17 - loss: 593.3190 - logits_profile_predictions_loss: 587.1986 - logcount_predictions_loss: 0.2957 216/2487 [=>............................] - ETA: 5:17 - loss: 593.3362 - logits_profile_predictions_loss: 587.2150 - logcount_predictions_loss: 0.2957 217/2487 [=>............................] - ETA: 5:17 - loss: 593.3525 - logits_profile_predictions_loss: 587.2306 - logcount_predictions_loss: 0.2957 218/2487 [=>............................] - ETA: 5:16 - loss: 593.3692 - logits_profile_predictions_loss: 587.2466 - logcount_predictions_loss: 0.2958 219/2487 [=>............................] - ETA: 5:16 - loss: 593.3841 - logits_profile_predictions_loss: 587.2609 - logcount_predictions_loss: 0.2958 220/2487 [=>............................] - ETA: 5:16 - loss: 593.3986 - logits_profile_predictions_loss: 587.2747 - logcount_predictions_loss: 0.2958 221/2487 [=>............................] - ETA: 5:16 - loss: 593.4116 - 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[=>............................] - ETA: 5:15 - loss: 593.5101 - logits_profile_predictions_loss: 587.3815 - logcount_predictions_loss: 0.2961 229/2487 [=>............................] - ETA: 5:15 - loss: 593.5246 - logits_profile_predictions_loss: 587.3954 - logcount_predictions_loss: 0.2961 230/2487 [=>............................] - ETA: 5:15 - loss: 593.5399 - logits_profile_predictions_loss: 587.4103 - logcount_predictions_loss: 0.2961 231/2487 [=>............................] - ETA: 5:15 - loss: 593.5537 - logits_profile_predictions_loss: 587.4236 - logcount_predictions_loss: 0.2961 232/2487 [=>............................] - ETA: 5:14 - loss: 593.5692 - logits_profile_predictions_loss: 587.4386 - logcount_predictions_loss: 0.2962 233/2487 [=>............................] - ETA: 5:14 - loss: 593.5847 - logits_profile_predictions_loss: 587.4537 - logcount_predictions_loss: 0.2962 234/2487 [=>............................] - ETA: 5:14 - loss: 593.6011 - 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[==============================] - ETA: 0s - loss: 593.4577 - logits_profile_predictions_loss: 587.5785 - logcount_predictions_loss: 0.2840 2487/2487 [==============================] - 363s 146ms/step - loss: 593.4578 - logits_profile_predictions_loss: 587.5786 - logcount_predictions_loss: 0.2840 - val_loss: 595.3952 - val_logits_profile_predictions_loss: 589.2038 - val_logcount_predictions_loss: 0.2991 + +Epoch 00009: val_loss did not improve from 594.34058 +Epoch 10/50 + 1/2487 [..............................] - ETA: 6:27 - loss: 618.3385 - logits_profile_predictions_loss: 613.6875 - logcount_predictions_loss: 0.2247 2/2487 [..............................] - ETA: 5:48 - loss: 630.0023 - logits_profile_predictions_loss: 625.2708 - logcount_predictions_loss: 0.2286 3/2487 [..............................] - ETA: 5:46 - loss: 632.1303 - logits_profile_predictions_loss: 627.1667 - logcount_predictions_loss: 0.2398 4/2487 [..............................] - ETA: 5:46 - loss: 629.3565 - logits_profile_predictions_loss: 624.1360 - logcount_predictions_loss: 0.2522 5/2487 [..............................] - ETA: 5:46 - loss: 626.2549 - logits_profile_predictions_loss: 620.8583 - logcount_predictions_loss: 0.2607 6/2487 [..............................] - ETA: 5:46 - loss: 625.3556 - logits_profile_predictions_loss: 619.8836 - logcount_predictions_loss: 0.2644 7/2487 [..............................] - ETA: 5:45 - loss: 623.3772 - logits_profile_predictions_loss: 617.7836 - logcount_predictions_loss: 0.2702 8/2487 [..............................] - ETA: 5:45 - loss: 621.7537 - logits_profile_predictions_loss: 616.0465 - logcount_predictions_loss: 0.2757 9/2487 [..............................] - ETA: 5:45 - loss: 620.3447 - logits_profile_predictions_loss: 614.5551 - logcount_predictions_loss: 0.2797 10/2487 [..............................] - ETA: 5:45 - loss: 618.6952 - logits_profile_predictions_loss: 612.8410 - logcount_predictions_loss: 0.2828 11/2487 [..............................] - ETA: 5:45 - loss: 617.0083 - logits_profile_predictions_loss: 611.1067 - logcount_predictions_loss: 0.2851 12/2487 [..............................] - ETA: 5:44 - loss: 615.7575 - logits_profile_predictions_loss: 609.7617 - logcount_predictions_loss: 0.2896 13/2487 [..............................] - ETA: 5:44 - loss: 614.6713 - logits_profile_predictions_loss: 608.6115 - logcount_predictions_loss: 0.2927 14/2487 [..............................] - ETA: 5:44 - loss: 613.7231 - logits_profile_predictions_loss: 607.6175 - logcount_predictions_loss: 0.2950 15/2487 [..............................] - ETA: 5:44 - loss: 612.6933 - logits_profile_predictions_loss: 606.5505 - logcount_predictions_loss: 0.2968 16/2487 [..............................] - ETA: 5:44 - loss: 611.7421 - logits_profile_predictions_loss: 605.5711 - logcount_predictions_loss: 0.2981 17/2487 [..............................] - ETA: 5:44 - loss: 611.2046 - logits_profile_predictions_loss: 605.0124 - logcount_predictions_loss: 0.2991 18/2487 [..............................] - ETA: 5:44 - loss: 610.4572 - logits_profile_predictions_loss: 604.2515 - logcount_predictions_loss: 0.2998 19/2487 [..............................] - ETA: 5:43 - loss: 609.6164 - logits_profile_predictions_loss: 603.4063 - logcount_predictions_loss: 0.3000 20/2487 [..............................] - ETA: 5:43 - loss: 608.8080 - logits_profile_predictions_loss: 602.5967 - logcount_predictions_loss: 0.3001 21/2487 [..............................] - ETA: 5:43 - loss: 608.0387 - logits_profile_predictions_loss: 601.8266 - logcount_predictions_loss: 0.3001 22/2487 [..............................] - ETA: 5:43 - loss: 607.4294 - logits_profile_predictions_loss: 601.2184 - logcount_predictions_loss: 0.3000 23/2487 [..............................] - ETA: 5:43 - loss: 606.9001 - logits_profile_predictions_loss: 600.6929 - logcount_predictions_loss: 0.2999 24/2487 [..............................] - ETA: 5:43 - loss: 606.3726 - logits_profile_predictions_loss: 600.1732 - logcount_predictions_loss: 0.2995 25/2487 [..............................] - ETA: 5:43 - loss: 605.9555 - logits_profile_predictions_loss: 599.7650 - logcount_predictions_loss: 0.2991 26/2487 [..............................] - ETA: 5:42 - loss: 605.5540 - logits_profile_predictions_loss: 599.3728 - logcount_predictions_loss: 0.2986 27/2487 [..............................] - ETA: 5:42 - loss: 605.1572 - logits_profile_predictions_loss: 598.9875 - logcount_predictions_loss: 0.2981 28/2487 [..............................] - ETA: 5:42 - loss: 604.8572 - logits_profile_predictions_loss: 598.6996 - logcount_predictions_loss: 0.2975 29/2487 [..............................] - ETA: 5:42 - loss: 604.5860 - logits_profile_predictions_loss: 598.4414 - logcount_predictions_loss: 0.2968 30/2487 [..............................] - ETA: 5:42 - loss: 604.2927 - logits_profile_predictions_loss: 598.1609 - logcount_predictions_loss: 0.2962 31/2487 [..............................] - ETA: 5:42 - loss: 604.0218 - logits_profile_predictions_loss: 597.9029 - logcount_predictions_loss: 0.2956 32/2487 [..............................] - ETA: 5:42 - loss: 603.7911 - logits_profile_predictions_loss: 597.6858 - logcount_predictions_loss: 0.2949 33/2487 [..............................] - ETA: 5:41 - loss: 603.5664 - logits_profile_predictions_loss: 597.4714 - logcount_predictions_loss: 0.2944 34/2487 [..............................] - ETA: 5:41 - loss: 603.3771 - logits_profile_predictions_loss: 597.2922 - logcount_predictions_loss: 0.2940 35/2487 [..............................] - ETA: 5:41 - loss: 603.1741 - logits_profile_predictions_loss: 597.0988 - logcount_predictions_loss: 0.2935 36/2487 [..............................] - ETA: 5:41 - loss: 603.0288 - logits_profile_predictions_loss: 596.9625 - logcount_predictions_loss: 0.2931 37/2487 [..............................] - ETA: 5:41 - loss: 602.8505 - logits_profile_predictions_loss: 596.7924 - logcount_predictions_loss: 0.2927 38/2487 [..............................] - ETA: 5:41 - loss: 602.6575 - logits_profile_predictions_loss: 596.6080 - logcount_predictions_loss: 0.2922 39/2487 [..............................] - ETA: 5:41 - loss: 602.4931 - logits_profile_predictions_loss: 596.4513 - logcount_predictions_loss: 0.2919 40/2487 [..............................] - ETA: 5:41 - loss: 602.3129 - logits_profile_predictions_loss: 596.2788 - logcount_predictions_loss: 0.2915 41/2487 [..............................] - ETA: 5:41 - loss: 602.2292 - logits_profile_predictions_loss: 596.2031 - logcount_predictions_loss: 0.2911 42/2487 [..............................] - ETA: 5:41 - loss: 602.1503 - logits_profile_predictions_loss: 596.1322 - logcount_predictions_loss: 0.2907 43/2487 [..............................] - ETA: 5:41 - loss: 602.0466 - logits_profile_predictions_loss: 596.0355 - logcount_predictions_loss: 0.2904 44/2487 [..............................] - ETA: 5:40 - loss: 601.9399 - logits_profile_predictions_loss: 595.9347 - logcount_predictions_loss: 0.2901 45/2487 [..............................] - ETA: 5:40 - loss: 601.8418 - logits_profile_predictions_loss: 595.8421 - logcount_predictions_loss: 0.2898 46/2487 [..............................] - ETA: 5:40 - loss: 601.7737 - logits_profile_predictions_loss: 595.7799 - logcount_predictions_loss: 0.2896 47/2487 [..............................] - ETA: 5:40 - loss: 601.7382 - logits_profile_predictions_loss: 595.7504 - logcount_predictions_loss: 0.2893 48/2487 [..............................] - ETA: 5:40 - loss: 601.6830 - logits_profile_predictions_loss: 595.7006 - logcount_predictions_loss: 0.2890 49/2487 [..............................] - ETA: 5:40 - loss: 601.6155 - logits_profile_predictions_loss: 595.6386 - logcount_predictions_loss: 0.2887 50/2487 [..............................] - ETA: 5:40 - loss: 601.5461 - logits_profile_predictions_loss: 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loss: 601.2273 - logits_profile_predictions_loss: 595.2825 - logcount_predictions_loss: 0.2872 58/2487 [..............................] - ETA: 5:39 - loss: 601.1899 - logits_profile_predictions_loss: 595.2490 - logcount_predictions_loss: 0.2870 59/2487 [..............................] - ETA: 5:39 - loss: 601.1304 - logits_profile_predictions_loss: 595.1933 - logcount_predictions_loss: 0.2868 60/2487 [..............................] - ETA: 5:39 - loss: 601.0618 - logits_profile_predictions_loss: 595.1280 - logcount_predictions_loss: 0.2867 61/2487 [..............................] - ETA: 5:39 - loss: 600.9994 - logits_profile_predictions_loss: 595.0689 - logcount_predictions_loss: 0.2865 62/2487 [..............................] - ETA: 5:38 - loss: 600.9417 - logits_profile_predictions_loss: 595.0142 - logcount_predictions_loss: 0.2864 63/2487 [..............................] - ETA: 5:38 - loss: 600.8906 - logits_profile_predictions_loss: 594.9660 - logcount_predictions_loss: 0.2862 64/2487 [..............................] - ETA: 5:38 - loss: 600.8379 - logits_profile_predictions_loss: 594.9161 - logcount_predictions_loss: 0.2861 65/2487 [..............................] - ETA: 5:38 - loss: 600.7643 - logits_profile_predictions_loss: 594.8457 - logcount_predictions_loss: 0.2859 66/2487 [..............................] - ETA: 5:38 - loss: 600.6828 - logits_profile_predictions_loss: 594.7676 - logcount_predictions_loss: 0.2858 67/2487 [..............................] - ETA: 5:38 - loss: 600.6144 - logits_profile_predictions_loss: 594.7030 - logcount_predictions_loss: 0.2856 68/2487 [..............................] - ETA: 5:38 - loss: 600.5528 - logits_profile_predictions_loss: 594.6447 - logcount_predictions_loss: 0.2854 69/2487 [..............................] - ETA: 5:37 - loss: 600.4925 - logits_profile_predictions_loss: 594.5879 - logcount_predictions_loss: 0.2852 70/2487 [..............................] - ETA: 5:37 - loss: 600.4230 - logits_profile_predictions_loss: 594.5217 - logcount_predictions_loss: 0.2851 71/2487 [..............................] - ETA: 5:37 - loss: 600.3447 - logits_profile_predictions_loss: 594.4465 - logcount_predictions_loss: 0.2849 72/2487 [..............................] - ETA: 5:37 - loss: 600.2696 - logits_profile_predictions_loss: 594.3746 - logcount_predictions_loss: 0.2848 73/2487 [..............................] - ETA: 5:37 - loss: 600.1831 - logits_profile_predictions_loss: 594.2914 - logcount_predictions_loss: 0.2846 74/2487 [..............................] - ETA: 5:37 - loss: 600.0839 - logits_profile_predictions_loss: 594.1957 - logcount_predictions_loss: 0.2845 75/2487 [..............................] - ETA: 5:37 - loss: 599.9850 - logits_profile_predictions_loss: 594.1005 - logcount_predictions_loss: 0.2843 76/2487 [..............................] - ETA: 5:37 - loss: 599.8937 - logits_profile_predictions_loss: 594.0126 - logcount_predictions_loss: 0.2841 77/2487 [..............................] - ETA: 5:36 - loss: 599.8079 - logits_profile_predictions_loss: 593.9298 - logcount_predictions_loss: 0.2840 78/2487 [..............................] - ETA: 5:36 - loss: 599.7197 - logits_profile_predictions_loss: 593.8446 - logcount_predictions_loss: 0.2838 79/2487 [..............................] - ETA: 5:36 - loss: 599.6420 - logits_profile_predictions_loss: 593.7696 - logcount_predictions_loss: 0.2837 80/2487 [..............................] - ETA: 5:36 - loss: 599.5795 - logits_profile_predictions_loss: 593.7098 - logcount_predictions_loss: 0.2836 81/2487 [..............................] - ETA: 5:36 - loss: 599.5189 - logits_profile_predictions_loss: 593.6517 - logcount_predictions_loss: 0.2834 82/2487 [..............................] - ETA: 5:36 - loss: 599.4616 - logits_profile_predictions_loss: 593.5971 - logcount_predictions_loss: 0.2833 83/2487 [>.............................] - ETA: 5:36 - loss: 599.4044 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 587.0774 - logcount_predictions_loss: 0.2751 2471/2487 [============================>.] - ETA: 2s - loss: 592.7723 - logits_profile_predictions_loss: 587.0771 - logcount_predictions_loss: 0.2751 2472/2487 [============================>.] - ETA: 2s - loss: 592.7721 - logits_profile_predictions_loss: 587.0769 - logcount_predictions_loss: 0.2751 2473/2487 [============================>.] - ETA: 1s - loss: 592.7719 - logits_profile_predictions_loss: 587.0767 - logcount_predictions_loss: 0.2751 2474/2487 [============================>.] - ETA: 1s - loss: 592.7717 - logits_profile_predictions_loss: 587.0765 - logcount_predictions_loss: 0.2751 2475/2487 [============================>.] - ETA: 1s - loss: 592.7716 - logits_profile_predictions_loss: 587.0764 - logcount_predictions_loss: 0.2751 2476/2487 [============================>.] - ETA: 1s - loss: 592.7714 - logits_profile_predictions_loss: 587.0762 - logcount_predictions_loss: 0.2751 2477/2487 [============================>.] - ETA: 1s - loss: 592.7712 - logits_profile_predictions_loss: 587.0760 - logcount_predictions_loss: 0.2751 2478/2487 [============================>.] - ETA: 1s - loss: 592.7711 - logits_profile_predictions_loss: 587.0759 - logcount_predictions_loss: 0.2751 2479/2487 [============================>.] - ETA: 1s - loss: 592.7709 - logits_profile_predictions_loss: 587.0757 - logcount_predictions_loss: 0.2751 2480/2487 [============================>.] - ETA: 0s - loss: 592.7708 - logits_profile_predictions_loss: 587.0756 - logcount_predictions_loss: 0.2751 2481/2487 [============================>.] - ETA: 0s - loss: 592.7707 - logits_profile_predictions_loss: 587.0755 - logcount_predictions_loss: 0.2751 2482/2487 [============================>.] - ETA: 0s - loss: 592.7705 - logits_profile_predictions_loss: 587.0753 - logcount_predictions_loss: 0.2751 2483/2487 [============================>.] - ETA: 0s - loss: 592.7704 - logits_profile_predictions_loss: 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[..............................] - ETA: 6:26 - loss: 632.9429 - logits_profile_predictions_loss: 627.2100 - logcount_predictions_loss: 0.2770 2/2487 [..............................] - ETA: 5:47 - loss: 633.2112 - logits_profile_predictions_loss: 627.4497 - logcount_predictions_loss: 0.2783 3/2487 [..............................] - ETA: 5:47 - loss: 635.7528 - logits_profile_predictions_loss: 630.1862 - logcount_predictions_loss: 0.2689 4/2487 [..............................] - ETA: 5:47 - loss: 634.9702 - logits_profile_predictions_loss: 629.3602 - logcount_predictions_loss: 0.2710 5/2487 [..............................] - ETA: 5:47 - loss: 630.5807 - logits_profile_predictions_loss: 625.0107 - logcount_predictions_loss: 0.2691 6/2487 [..............................] - ETA: 5:46 - loss: 624.0422 - logits_profile_predictions_loss: 618.4847 - logcount_predictions_loss: 0.2685 7/2487 [..............................] - ETA: 5:46 - loss: 619.3159 - logits_profile_predictions_loss: 613.7852 - logcount_predictions_loss: 0.2672 8/2487 [..............................] - ETA: 5:46 - loss: 615.4596 - logits_profile_predictions_loss: 609.9453 - logcount_predictions_loss: 0.2664 9/2487 [..............................] - ETA: 5:45 - loss: 611.5871 - logits_profile_predictions_loss: 606.1034 - logcount_predictions_loss: 0.2649 10/2487 [..............................] - ETA: 5:45 - loss: 609.0803 - logits_profile_predictions_loss: 603.6117 - logcount_predictions_loss: 0.2642 11/2487 [..............................] - ETA: 5:45 - loss: 606.7333 - logits_profile_predictions_loss: 601.2827 - logcount_predictions_loss: 0.2633 12/2487 [..............................] - ETA: 5:45 - loss: 605.1929 - logits_profile_predictions_loss: 599.7480 - logcount_predictions_loss: 0.2630 13/2487 [..............................] - ETA: 5:45 - loss: 604.0384 - logits_profile_predictions_loss: 598.5973 - logcount_predictions_loss: 0.2629 14/2487 [..............................] - ETA: 5:44 - loss: 603.2370 - logits_profile_predictions_loss: 597.7983 - logcount_predictions_loss: 0.2627 15/2487 [..............................] - ETA: 5:44 - loss: 602.5313 - logits_profile_predictions_loss: 597.0888 - logcount_predictions_loss: 0.2629 16/2487 [..............................] - ETA: 5:44 - loss: 601.6419 - logits_profile_predictions_loss: 596.1962 - logcount_predictions_loss: 0.2631 17/2487 [..............................] - ETA: 5:44 - loss: 600.6836 - logits_profile_predictions_loss: 595.2415 - logcount_predictions_loss: 0.2629 18/2487 [..............................] - ETA: 5:44 - loss: 599.9488 - logits_profile_predictions_loss: 594.5074 - logcount_predictions_loss: 0.2629 19/2487 [..............................] - ETA: 5:44 - loss: 599.4116 - logits_profile_predictions_loss: 593.9691 - logcount_predictions_loss: 0.2629 20/2487 [..............................] - ETA: 5:44 - loss: 598.8420 - logits_profile_predictions_loss: 593.3940 - logcount_predictions_loss: 0.2632 21/2487 [..............................] - ETA: 5:44 - loss: 598.1833 - logits_profile_predictions_loss: 592.7330 - logcount_predictions_loss: 0.2633 22/2487 [..............................] - ETA: 5:43 - loss: 597.6771 - logits_profile_predictions_loss: 592.2290 - logcount_predictions_loss: 0.2632 23/2487 [..............................] - ETA: 5:43 - loss: 597.0817 - logits_profile_predictions_loss: 591.6388 - logcount_predictions_loss: 0.2629 24/2487 [..............................] - ETA: 5:43 - loss: 596.5216 - logits_profile_predictions_loss: 591.0810 - logcount_predictions_loss: 0.2628 25/2487 [..............................] - ETA: 5:43 - loss: 596.0503 - logits_profile_predictions_loss: 590.6136 - logcount_predictions_loss: 0.2626 26/2487 [..............................] - ETA: 5:43 - loss: 595.6596 - logits_profile_predictions_loss: 590.2281 - logcount_predictions_loss: 0.2624 27/2487 [..............................] - ETA: 5:43 - loss: 595.2532 - logits_profile_predictions_loss: 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loss: 593.6255 - logits_profile_predictions_loss: 588.2059 - logcount_predictions_loss: 0.2618 35/2487 [..............................] - ETA: 5:41 - loss: 593.4677 - logits_profile_predictions_loss: 588.0487 - logcount_predictions_loss: 0.2618 36/2487 [..............................] - ETA: 5:41 - loss: 593.2549 - logits_profile_predictions_loss: 587.8355 - logcount_predictions_loss: 0.2618 37/2487 [..............................] - ETA: 5:41 - loss: 593.0806 - logits_profile_predictions_loss: 587.6611 - logcount_predictions_loss: 0.2618 38/2487 [..............................] - ETA: 5:41 - loss: 592.9530 - logits_profile_predictions_loss: 587.5339 - logcount_predictions_loss: 0.2618 39/2487 [..............................] - ETA: 5:40 - loss: 592.8149 - logits_profile_predictions_loss: 587.3933 - logcount_predictions_loss: 0.2619 40/2487 [..............................] - ETA: 5:40 - loss: 592.7186 - logits_profile_predictions_loss: 587.2939 - logcount_predictions_loss: 0.2621 41/2487 [..............................] - ETA: 5:40 - loss: 592.6050 - logits_profile_predictions_loss: 587.1780 - logcount_predictions_loss: 0.2622 42/2487 [..............................] - ETA: 5:40 - loss: 592.5317 - logits_profile_predictions_loss: 587.1023 - logcount_predictions_loss: 0.2623 43/2487 [..............................] - ETA: 5:40 - loss: 592.4787 - logits_profile_predictions_loss: 587.0475 - logcount_predictions_loss: 0.2624 44/2487 [..............................] - ETA: 5:40 - loss: 592.4174 - logits_profile_predictions_loss: 586.9849 - logcount_predictions_loss: 0.2624 45/2487 [..............................] - ETA: 5:40 - loss: 592.3558 - logits_profile_predictions_loss: 586.9230 - logcount_predictions_loss: 0.2625 46/2487 [..............................] - ETA: 5:39 - loss: 592.2877 - logits_profile_predictions_loss: 586.8549 - logcount_predictions_loss: 0.2625 47/2487 [..............................] - ETA: 5:39 - loss: 592.2437 - logits_profile_predictions_loss: 586.8103 - logcount_predictions_loss: 0.2625 48/2487 [..............................] - ETA: 5:39 - loss: 592.2203 - logits_profile_predictions_loss: 586.7858 - logcount_predictions_loss: 0.2625 49/2487 [..............................] - ETA: 5:39 - loss: 592.1888 - logits_profile_predictions_loss: 586.7538 - logcount_predictions_loss: 0.2626 50/2487 [..............................] - ETA: 5:39 - loss: 592.1580 - logits_profile_predictions_loss: 586.7217 - logcount_predictions_loss: 0.2626 51/2487 [..............................] - ETA: 5:39 - loss: 592.1337 - logits_profile_predictions_loss: 586.6946 - logcount_predictions_loss: 0.2628 52/2487 [..............................] - ETA: 5:38 - loss: 592.1272 - logits_profile_predictions_loss: 586.6853 - logcount_predictions_loss: 0.2629 53/2487 [..............................] - ETA: 5:38 - loss: 592.1175 - logits_profile_predictions_loss: 586.6729 - logcount_predictions_loss: 0.2630 54/2487 [..............................] - ETA: 5:38 - loss: 592.0991 - logits_profile_predictions_loss: 586.6516 - logcount_predictions_loss: 0.2632 55/2487 [..............................] - ETA: 5:38 - loss: 592.0701 - logits_profile_predictions_loss: 586.6189 - logcount_predictions_loss: 0.2633 56/2487 [..............................] - ETA: 5:38 - loss: 592.0335 - logits_profile_predictions_loss: 586.5790 - logcount_predictions_loss: 0.2635 57/2487 [..............................] - ETA: 5:38 - loss: 592.0167 - logits_profile_predictions_loss: 586.5596 - logcount_predictions_loss: 0.2636 58/2487 [..............................] - ETA: 5:38 - loss: 592.0117 - logits_profile_predictions_loss: 586.5521 - logcount_predictions_loss: 0.2637 59/2487 [..............................] - ETA: 5:38 - loss: 592.0092 - logits_profile_predictions_loss: 586.5465 - logcount_predictions_loss: 0.2639 60/2487 [..............................] - ETA: 5:38 - loss: 592.0171 - logits_profile_predictions_loss: 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loss: 592.0827 - logits_profile_predictions_loss: 586.5979 - logcount_predictions_loss: 0.2650 68/2487 [..............................] - ETA: 5:37 - loss: 592.0943 - logits_profile_predictions_loss: 586.6069 - logcount_predictions_loss: 0.2651 69/2487 [..............................] - ETA: 5:36 - loss: 592.1038 - logits_profile_predictions_loss: 586.6141 - logcount_predictions_loss: 0.2652 70/2487 [..............................] - ETA: 5:36 - loss: 592.1065 - logits_profile_predictions_loss: 586.6143 - logcount_predictions_loss: 0.2653 71/2487 [..............................] - ETA: 5:36 - loss: 592.1096 - logits_profile_predictions_loss: 586.6153 - logcount_predictions_loss: 0.2654 72/2487 [..............................] - ETA: 5:36 - loss: 592.1262 - logits_profile_predictions_loss: 586.6301 - logcount_predictions_loss: 0.2655 73/2487 [..............................] - ETA: 5:36 - loss: 592.1408 - logits_profile_predictions_loss: 586.6431 - logcount_predictions_loss: 0.2656 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logits_profile_predictions_loss: 586.1000 - logcount_predictions_loss: 0.2670 335/2487 [===>..........................] - ETA: 4:59 - loss: 591.6292 - logits_profile_predictions_loss: 586.1017 - logcount_predictions_loss: 0.2670 336/2487 [===>..........................] - ETA: 4:59 - loss: 591.6311 - logits_profile_predictions_loss: 586.1036 - logcount_predictions_loss: 0.2670 337/2487 [===>..........................] - ETA: 4:59 - loss: 591.6333 - logits_profile_predictions_loss: 586.1058 - logcount_predictions_loss: 0.2670 338/2487 [===>..........................] - ETA: 4:59 - loss: 591.6357 - logits_profile_predictions_loss: 586.1082 - logcount_predictions_loss: 0.2670 339/2487 [===>..........................] - ETA: 4:59 - loss: 591.6384 - logits_profile_predictions_loss: 586.1110 - logcount_predictions_loss: 0.2670 340/2487 [===>..........................] - ETA: 4:58 - loss: 591.6409 - logits_profile_predictions_loss: 586.1135 - logcount_predictions_loss: 0.2670 341/2487 [===>..........................] - ETA: 4:58 - loss: 591.6436 - logits_profile_predictions_loss: 586.1162 - logcount_predictions_loss: 0.2670 342/2487 [===>..........................] - ETA: 4:58 - loss: 591.6465 - logits_profile_predictions_loss: 586.1192 - logcount_predictions_loss: 0.2670 343/2487 [===>..........................] - ETA: 4:58 - loss: 591.6497 - logits_profile_predictions_loss: 586.1224 - logcount_predictions_loss: 0.2670 344/2487 [===>..........................] - ETA: 4:58 - loss: 591.6528 - logits_profile_predictions_loss: 586.1255 - logcount_predictions_loss: 0.2670 345/2487 [===>..........................] - ETA: 4:58 - loss: 591.6551 - logits_profile_predictions_loss: 586.1279 - logcount_predictions_loss: 0.2670 346/2487 [===>..........................] - ETA: 4:58 - loss: 591.6578 - logits_profile_predictions_loss: 586.1306 - logcount_predictions_loss: 0.2670 347/2487 [===>..........................] - ETA: 4:57 - loss: 591.6606 - logits_profile_predictions_loss: 586.1335 - logcount_predictions_loss: 0.2670 348/2487 [===>..........................] - ETA: 4:57 - loss: 591.6639 - logits_profile_predictions_loss: 586.1368 - logcount_predictions_loss: 0.2670 349/2487 [===>..........................] - ETA: 4:57 - loss: 591.6669 - logits_profile_predictions_loss: 586.1399 - logcount_predictions_loss: 0.2670 350/2487 [===>..........................] - ETA: 4:57 - loss: 591.6700 - logits_profile_predictions_loss: 586.1431 - logcount_predictions_loss: 0.2670 351/2487 [===>..........................] - ETA: 4:57 - loss: 591.6729 - logits_profile_predictions_loss: 586.1460 - logcount_predictions_loss: 0.2670 352/2487 [===>..........................] - ETA: 4:57 - loss: 591.6763 - logits_profile_predictions_loss: 586.1495 - logcount_predictions_loss: 0.2670 353/2487 [===>..........................] - ETA: 4:57 - loss: 591.6792 - logits_profile_predictions_loss: 586.1525 - logcount_predictions_loss: 0.2670 354/2487 [===>..........................] - ETA: 4:56 - loss: 591.6825 - logits_profile_predictions_loss: 586.1558 - logcount_predictions_loss: 0.2670 355/2487 [===>..........................] - ETA: 4:56 - loss: 591.6865 - logits_profile_predictions_loss: 586.1599 - logcount_predictions_loss: 0.2670 356/2487 [===>..........................] - ETA: 4:56 - loss: 591.6903 - logits_profile_predictions_loss: 586.1637 - logcount_predictions_loss: 0.2670 357/2487 [===>..........................] - ETA: 4:56 - loss: 591.6944 - logits_profile_predictions_loss: 586.1678 - logcount_predictions_loss: 0.2670 358/2487 [===>..........................] - ETA: 4:56 - loss: 591.6978 - logits_profile_predictions_loss: 586.1712 - logcount_predictions_loss: 0.2670 359/2487 [===>..........................] - ETA: 4:56 - loss: 591.7015 - logits_profile_predictions_loss: 586.1750 - logcount_predictions_loss: 0.2670 360/2487 [===>..........................] - ETA: 4:56 - loss: 591.7054 - logits_profile_predictions_loss: 586.1789 - logcount_predictions_loss: 0.2670 361/2487 [===>..........................] - ETA: 4:55 - loss: 591.7093 - logits_profile_predictions_loss: 586.1828 - logcount_predictions_loss: 0.2670 362/2487 [===>..........................] - ETA: 4:55 - loss: 591.7127 - logits_profile_predictions_loss: 586.1863 - logcount_predictions_loss: 0.2670 363/2487 [===>..........................] - ETA: 4:55 - loss: 591.7161 - logits_profile_predictions_loss: 586.1896 - logcount_predictions_loss: 0.2670 364/2487 [===>..........................] - ETA: 4:55 - loss: 591.7196 - logits_profile_predictions_loss: 586.1931 - logcount_predictions_loss: 0.2670 365/2487 [===>..........................] - ETA: 4:55 - loss: 591.7228 - logits_profile_predictions_loss: 586.1963 - logcount_predictions_loss: 0.2670 366/2487 [===>..........................] - ETA: 4:55 - loss: 591.7259 - logits_profile_predictions_loss: 586.1995 - logcount_predictions_loss: 0.2670 367/2487 [===>..........................] - ETA: 4:55 - loss: 591.7294 - logits_profile_predictions_loss: 586.2029 - logcount_predictions_loss: 0.2670 368/2487 [===>..........................] - ETA: 4:54 - loss: 591.7330 - logits_profile_predictions_loss: 586.2066 - logcount_predictions_loss: 0.2670 369/2487 [===>..........................] - ETA: 4:54 - loss: 591.7366 - logits_profile_predictions_loss: 586.2102 - logcount_predictions_loss: 0.2670 370/2487 [===>..........................] - ETA: 4:54 - loss: 591.7397 - logits_profile_predictions_loss: 586.2133 - logcount_predictions_loss: 0.2670 371/2487 [===>..........................] - ETA: 4:54 - loss: 591.7428 - logits_profile_predictions_loss: 586.2164 - logcount_predictions_loss: 0.2670 372/2487 [===>..........................] - ETA: 4:54 - loss: 591.7463 - logits_profile_predictions_loss: 586.2198 - logcount_predictions_loss: 0.2670 373/2487 [===>..........................] - ETA: 4:54 - loss: 591.7493 - logits_profile_predictions_loss: 586.2228 - logcount_predictions_loss: 0.2670 374/2487 [===>..........................] - ETA: 4:54 - loss: 591.7520 - logits_profile_predictions_loss: 586.2255 - logcount_predictions_loss: 0.2670 375/2487 [===>..........................] - ETA: 4:54 - loss: 591.7549 - logits_profile_predictions_loss: 586.2284 - logcount_predictions_loss: 0.2670 376/2487 [===>..........................] - ETA: 4:53 - loss: 591.7577 - logits_profile_predictions_loss: 586.2312 - logcount_predictions_loss: 0.2670 377/2487 [===>..........................] - ETA: 4:53 - loss: 591.7602 - logits_profile_predictions_loss: 586.2338 - logcount_predictions_loss: 0.2670 378/2487 [===>..........................] - ETA: 4:53 - loss: 591.7631 - logits_profile_predictions_loss: 586.2366 - logcount_predictions_loss: 0.2670 379/2487 [===>..........................] - ETA: 4:53 - loss: 591.7658 - logits_profile_predictions_loss: 586.2393 - logcount_predictions_loss: 0.2670 380/2487 [===>..........................] - ETA: 4:53 - loss: 591.7682 - logits_profile_predictions_loss: 586.2417 - logcount_predictions_loss: 0.2670 381/2487 [===>..........................] - ETA: 4:53 - loss: 591.7709 - logits_profile_predictions_loss: 586.2444 - logcount_predictions_loss: 0.2670 382/2487 [===>..........................] - ETA: 4:53 - loss: 591.7738 - logits_profile_predictions_loss: 586.2473 - logcount_predictions_loss: 0.2670 383/2487 [===>..........................] - ETA: 4:52 - loss: 591.7769 - logits_profile_predictions_loss: 586.2504 - logcount_predictions_loss: 0.2670 384/2487 [===>..........................] - ETA: 4:52 - loss: 591.7799 - logits_profile_predictions_loss: 586.2533 - logcount_predictions_loss: 0.2670 385/2487 [===>..........................] - ETA: 4:52 - loss: 591.7827 - logits_profile_predictions_loss: 586.2561 - logcount_predictions_loss: 0.2670 386/2487 [===>..........................] - ETA: 4:52 - loss: 591.7859 - logits_profile_predictions_loss: 586.2593 - logcount_predictions_loss: 0.2670 387/2487 [===>..........................] - ETA: 4:52 - loss: 591.7888 - logits_profile_predictions_loss: 586.2622 - logcount_predictions_loss: 0.2670 388/2487 [===>..........................] - ETA: 4:52 - loss: 591.7914 - logits_profile_predictions_loss: 586.2647 - logcount_predictions_loss: 0.2670 389/2487 [===>..........................] - ETA: 4:52 - loss: 591.7943 - logits_profile_predictions_loss: 586.2677 - logcount_predictions_loss: 0.2670 390/2487 [===>..........................] - ETA: 4:51 - loss: 591.7974 - logits_profile_predictions_loss: 586.2708 - logcount_predictions_loss: 0.2670 391/2487 [===>..........................] - ETA: 4:51 - loss: 591.8001 - logits_profile_predictions_loss: 586.2734 - logcount_predictions_loss: 0.2670 392/2487 [===>..........................] - ETA: 4:51 - loss: 591.8022 - logits_profile_predictions_loss: 586.2755 - logcount_predictions_loss: 0.2670 393/2487 [===>..........................] - ETA: 4:51 - loss: 591.8046 - logits_profile_predictions_loss: 586.2779 - logcount_predictions_loss: 0.2670 394/2487 [===>..........................] - ETA: 4:51 - loss: 591.8072 - logits_profile_predictions_loss: 586.2804 - logcount_predictions_loss: 0.2670 395/2487 [===>..........................] - ETA: 4:51 - loss: 591.8100 - logits_profile_predictions_loss: 586.2832 - logcount_predictions_loss: 0.2670 396/2487 [===>..........................] - ETA: 4:51 - loss: 591.8125 - logits_profile_predictions_loss: 586.2856 - logcount_predictions_loss: 0.2670 397/2487 [===>..........................] - ETA: 4:50 - loss: 591.8148 - logits_profile_predictions_loss: 586.2879 - logcount_predictions_loss: 0.2670 398/2487 [===>..........................] - ETA: 4:50 - loss: 591.8163 - logits_profile_predictions_loss: 586.2893 - logcount_predictions_loss: 0.2670 399/2487 [===>..........................] - ETA: 4:50 - loss: 591.8183 - logits_profile_predictions_loss: 586.2913 - logcount_predictions_loss: 0.2670 400/2487 [===>..........................] - ETA: 4:50 - loss: 591.8206 - logits_profile_predictions_loss: 586.2935 - logcount_predictions_loss: 0.2670 401/2487 [===>..........................] - ETA: 4:50 - loss: 591.8234 - logits_profile_predictions_loss: 586.2962 - logcount_predictions_loss: 0.2670 402/2487 [===>..........................] - ETA: 4:50 - loss: 591.8263 - logits_profile_predictions_loss: 586.2992 - logcount_predictions_loss: 0.2670 403/2487 [===>..........................] - ETA: 4:50 - loss: 591.8287 - logits_profile_predictions_loss: 586.3014 - logcount_predictions_loss: 0.2670 404/2487 [===>..........................] - ETA: 4:49 - loss: 591.8310 - logits_profile_predictions_loss: 586.3038 - logcount_predictions_loss: 0.2670 405/2487 [===>..........................] - ETA: 4:49 - loss: 591.8334 - logits_profile_predictions_loss: 586.3061 - logcount_predictions_loss: 0.2670 406/2487 [===>..........................] - ETA: 4:49 - loss: 591.8360 - logits_profile_predictions_loss: 586.3086 - logcount_predictions_loss: 0.2670 407/2487 [===>..........................] - ETA: 4:49 - loss: 591.8385 - logits_profile_predictions_loss: 586.3111 - logcount_predictions_loss: 0.2670 408/2487 [===>..........................] - ETA: 4:49 - loss: 591.8407 - logits_profile_predictions_loss: 586.3133 - logcount_predictions_loss: 0.2670 409/2487 [===>..........................] - ETA: 4:49 - loss: 591.8428 - logits_profile_predictions_loss: 586.3154 - logcount_predictions_loss: 0.2670 410/2487 [===>..........................] - ETA: 4:49 - loss: 591.8451 - logits_profile_predictions_loss: 586.3177 - logcount_predictions_loss: 0.2670 411/2487 [===>..........................] - ETA: 4:49 - loss: 591.8475 - logits_profile_predictions_loss: 586.3200 - logcount_predictions_loss: 0.2670 412/2487 [===>..........................] - ETA: 4:48 - loss: 591.8501 - logits_profile_predictions_loss: 586.3226 - logcount_predictions_loss: 0.2670 413/2487 [===>..........................] - ETA: 4:48 - loss: 591.8526 - logits_profile_predictions_loss: 586.3251 - logcount_predictions_loss: 0.2670 414/2487 [===>..........................] - ETA: 4:48 - loss: 591.8556 - logits_profile_predictions_loss: 586.3280 - logcount_predictions_loss: 0.2670 415/2487 [====>.........................] - ETA: 4:48 - loss: 591.8584 - logits_profile_predictions_loss: 586.3308 - logcount_predictions_loss: 0.2670 416/2487 [====>.........................] - ETA: 4:48 - loss: 591.8614 - logits_profile_predictions_loss: 586.3338 - logcount_predictions_loss: 0.2670 417/2487 [====>.........................] - ETA: 4:48 - loss: 591.8639 - logits_profile_predictions_loss: 586.3363 - logcount_predictions_loss: 0.2670 418/2487 [====>.........................] - ETA: 4:48 - loss: 591.8670 - logits_profile_predictions_loss: 586.3393 - logcount_predictions_loss: 0.2670 419/2487 [====>.........................] - ETA: 4:47 - loss: 591.8698 - logits_profile_predictions_loss: 586.3421 - logcount_predictions_loss: 0.2670 420/2487 [====>.........................] - ETA: 4:47 - loss: 591.8728 - logits_profile_predictions_loss: 586.3451 - logcount_predictions_loss: 0.2670 421/2487 [====>.........................] - ETA: 4:47 - loss: 591.8764 - logits_profile_predictions_loss: 586.3487 - logcount_predictions_loss: 0.2670 422/2487 [====>.........................] - ETA: 4:47 - loss: 591.8805 - logits_profile_predictions_loss: 586.3528 - logcount_predictions_loss: 0.2670 423/2487 [====>.........................] - ETA: 4:47 - loss: 591.8845 - logits_profile_predictions_loss: 586.3568 - logcount_predictions_loss: 0.2670 424/2487 [====>.........................] - ETA: 4:47 - loss: 591.8886 - logits_profile_predictions_loss: 586.3609 - logcount_predictions_loss: 0.2670 425/2487 [====>.........................] - ETA: 4:47 - loss: 591.8927 - logits_profile_predictions_loss: 586.3650 - logcount_predictions_loss: 0.2670 426/2487 [====>.........................] - ETA: 4:46 - loss: 591.8966 - logits_profile_predictions_loss: 586.3690 - logcount_predictions_loss: 0.2670 427/2487 [====>.........................] - ETA: 4:46 - loss: 591.9004 - logits_profile_predictions_loss: 586.3728 - logcount_predictions_loss: 0.2670 428/2487 [====>.........................] - ETA: 4:46 - loss: 591.9046 - logits_profile_predictions_loss: 586.3770 - logcount_predictions_loss: 0.2670 429/2487 [====>.........................] - ETA: 4:46 - loss: 591.9084 - logits_profile_predictions_loss: 586.3808 - logcount_predictions_loss: 0.2670 430/2487 [====>.........................] - ETA: 4:46 - loss: 591.9120 - logits_profile_predictions_loss: 586.3844 - logcount_predictions_loss: 0.2670 431/2487 [====>.........................] - ETA: 4:46 - loss: 591.9154 - logits_profile_predictions_loss: 586.3878 - logcount_predictions_loss: 0.2670 432/2487 [====>.........................] - ETA: 4:46 - loss: 591.9186 - logits_profile_predictions_loss: 586.3911 - logcount_predictions_loss: 0.2670 433/2487 [====>.........................] - ETA: 4:45 - loss: 591.9219 - logits_profile_predictions_loss: 586.3944 - logcount_predictions_loss: 0.2670 434/2487 [====>.........................] - ETA: 4:45 - loss: 591.9250 - logits_profile_predictions_loss: 586.3975 - logcount_predictions_loss: 0.2670 435/2487 [====>.........................] - ETA: 4:45 - loss: 591.9283 - logits_profile_predictions_loss: 586.4008 - logcount_predictions_loss: 0.2670 436/2487 [====>.........................] - ETA: 4:45 - loss: 591.9316 - logits_profile_predictions_loss: 586.4042 - logcount_predictions_loss: 0.2670 437/2487 [====>.........................] - ETA: 4:45 - loss: 591.9349 - logits_profile_predictions_loss: 586.4075 - logcount_predictions_loss: 0.2670 438/2487 [====>.........................] - ETA: 4:45 - loss: 591.9383 - logits_profile_predictions_loss: 586.4110 - logcount_predictions_loss: 0.2670 439/2487 [====>.........................] - ETA: 4:45 - loss: 591.9416 - logits_profile_predictions_loss: 586.4143 - logcount_predictions_loss: 0.2670 440/2487 [====>.........................] - ETA: 4:44 - loss: 591.9449 - logits_profile_predictions_loss: 586.4177 - logcount_predictions_loss: 0.2670 441/2487 [====>.........................] - ETA: 4:44 - loss: 591.9481 - logits_profile_predictions_loss: 586.4209 - logcount_predictions_loss: 0.2670 442/2487 [====>.........................] - ETA: 4:44 - loss: 591.9510 - logits_profile_predictions_loss: 586.4238 - logcount_predictions_loss: 0.2670 443/2487 [====>.........................] - ETA: 4:44 - loss: 591.9538 - logits_profile_predictions_loss: 586.4267 - logcount_predictions_loss: 0.2670 444/2487 [====>.........................] - ETA: 4:44 - loss: 591.9565 - logits_profile_predictions_loss: 586.4294 - logcount_predictions_loss: 0.2670 445/2487 [====>.........................] - ETA: 4:44 - loss: 591.9591 - logits_profile_predictions_loss: 586.4321 - logcount_predictions_loss: 0.2670 446/2487 [====>.........................] - ETA: 4:44 - loss: 591.9620 - logits_profile_predictions_loss: 586.4350 - logcount_predictions_loss: 0.2670 447/2487 [====>.........................] - ETA: 4:43 - loss: 591.9644 - logits_profile_predictions_loss: 586.4375 - logcount_predictions_loss: 0.2670 448/2487 [====>.........................] - ETA: 4:43 - loss: 591.9668 - logits_profile_predictions_loss: 586.4399 - logcount_predictions_loss: 0.2670 449/2487 [====>.........................] - ETA: 4:43 - loss: 591.9688 - logits_profile_predictions_loss: 586.4420 - logcount_predictions_loss: 0.2670 450/2487 [====>.........................] - ETA: 4:43 - loss: 591.9710 - logits_profile_predictions_loss: 586.4443 - logcount_predictions_loss: 0.2670 451/2487 [====>.........................] - ETA: 4:43 - loss: 591.9735 - logits_profile_predictions_loss: 586.4469 - logcount_predictions_loss: 0.2670 452/2487 [====>.........................] - ETA: 4:43 - loss: 591.9763 - logits_profile_predictions_loss: 586.4498 - logcount_predictions_loss: 0.2670 453/2487 [====>.........................] - ETA: 4:43 - loss: 591.9791 - logits_profile_predictions_loss: 586.4526 - logcount_predictions_loss: 0.2670 454/2487 [====>.........................] - ETA: 4:42 - loss: 591.9818 - logits_profile_predictions_loss: 586.4554 - logcount_predictions_loss: 0.2670 455/2487 [====>.........................] - ETA: 4:42 - loss: 591.9844 - logits_profile_predictions_loss: 586.4581 - logcount_predictions_loss: 0.2670 456/2487 [====>.........................] - ETA: 4:42 - loss: 591.9869 - logits_profile_predictions_loss: 586.4606 - logcount_predictions_loss: 0.2670 457/2487 [====>.........................] - ETA: 4:42 - loss: 591.9894 - logits_profile_predictions_loss: 586.4633 - logcount_predictions_loss: 0.2670 458/2487 [====>.........................] - ETA: 4:42 - loss: 591.9919 - logits_profile_predictions_loss: 586.4659 - logcount_predictions_loss: 0.2670 459/2487 [====>.........................] - ETA: 4:42 - loss: 591.9944 - logits_profile_predictions_loss: 586.4685 - logcount_predictions_loss: 0.2669 460/2487 [====>.........................] - ETA: 4:42 - loss: 591.9971 - logits_profile_predictions_loss: 586.4713 - logcount_predictions_loss: 0.2669 461/2487 [====>.........................] - ETA: 4:42 - loss: 591.9996 - logits_profile_predictions_loss: 586.4739 - logcount_predictions_loss: 0.2669 462/2487 [====>.........................] - ETA: 4:41 - loss: 592.0025 - logits_profile_predictions_loss: 586.4769 - logcount_predictions_loss: 0.2669 463/2487 [====>.........................] - ETA: 4:41 - loss: 592.0050 - logits_profile_predictions_loss: 586.4795 - logcount_predictions_loss: 0.2669 464/2487 [====>.........................] - ETA: 4:41 - loss: 592.0075 - logits_profile_predictions_loss: 586.4821 - logcount_predictions_loss: 0.2669 465/2487 [====>.........................] - ETA: 4:41 - loss: 592.0099 - logits_profile_predictions_loss: 586.4847 - logcount_predictions_loss: 0.2669 466/2487 [====>.........................] - ETA: 4:41 - loss: 592.0121 - logits_profile_predictions_loss: 586.4869 - logcount_predictions_loss: 0.2669 467/2487 [====>.........................] - ETA: 4:41 - loss: 592.0143 - logits_profile_predictions_loss: 586.4893 - logcount_predictions_loss: 0.2669 468/2487 [====>.........................] - ETA: 4:41 - loss: 592.0168 - logits_profile_predictions_loss: 586.4920 - logcount_predictions_loss: 0.2669 469/2487 [====>.........................] - ETA: 4:40 - loss: 592.0195 - logits_profile_predictions_loss: 586.4949 - logcount_predictions_loss: 0.2669 470/2487 [====>.........................] - ETA: 4:40 - loss: 592.0221 - logits_profile_predictions_loss: 586.4976 - logcount_predictions_loss: 0.2669 471/2487 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[==============================] - ETA: 0s - loss: 591.4803 - logits_profile_predictions_loss: 585.9390 - logcount_predictions_loss: 0.2677 2487/2487 [==============================] - 363s 146ms/step - loss: 591.4801 - logits_profile_predictions_loss: 585.9388 - logcount_predictions_loss: 0.2677 - val_loss: 597.0966 - val_logits_profile_predictions_loss: 591.3506 - val_logcount_predictions_loss: 0.2776 + +Epoch 00011: val_loss did not improve from 594.34058 +Epoch 12/50 + 1/2487 [..............................] - ETA: 6:27 - loss: 586.9714 - logits_profile_predictions_loss: 581.3621 - logcount_predictions_loss: 0.2710 2/2487 [..............................] - ETA: 5:46 - loss: 607.4492 - logits_profile_predictions_loss: 601.6955 - logcount_predictions_loss: 0.2780 3/2487 [..............................] - ETA: 5:46 - loss: 622.9193 - logits_profile_predictions_loss: 617.1327 - logcount_predictions_loss: 0.2795 4/2487 [..............................] - ETA: 5:45 - loss: 626.7486 - logits_profile_predictions_loss: 621.0213 - logcount_predictions_loss: 0.2767 5/2487 [..............................] - ETA: 5:45 - loss: 627.3282 - logits_profile_predictions_loss: 621.6308 - logcount_predictions_loss: 0.2752 6/2487 [..............................] - ETA: 5:45 - loss: 625.8561 - logits_profile_predictions_loss: 620.2381 - logcount_predictions_loss: 0.2714 7/2487 [..............................] - ETA: 5:45 - loss: 623.2043 - logits_profile_predictions_loss: 617.6348 - logcount_predictions_loss: 0.2691 8/2487 [..............................] - ETA: 5:45 - loss: 620.8887 - logits_profile_predictions_loss: 615.3583 - logcount_predictions_loss: 0.2672 9/2487 [..............................] - ETA: 5:45 - loss: 618.9984 - logits_profile_predictions_loss: 613.5104 - logcount_predictions_loss: 0.2651 10/2487 [..............................] - ETA: 5:44 - loss: 616.9193 - logits_profile_predictions_loss: 611.4463 - logcount_predictions_loss: 0.2644 11/2487 [..............................] - ETA: 5:44 - loss: 614.5162 - logits_profile_predictions_loss: 609.0500 - logcount_predictions_loss: 0.2641 12/2487 [..............................] - ETA: 5:44 - loss: 612.8714 - logits_profile_predictions_loss: 607.4150 - logcount_predictions_loss: 0.2636 13/2487 [..............................] - ETA: 5:44 - loss: 611.5082 - logits_profile_predictions_loss: 606.0624 - logcount_predictions_loss: 0.2631 14/2487 [..............................] - ETA: 5:44 - loss: 610.2294 - logits_profile_predictions_loss: 604.7928 - logcount_predictions_loss: 0.2626 15/2487 [..............................] - ETA: 5:44 - loss: 609.1215 - logits_profile_predictions_loss: 603.7005 - logcount_predictions_loss: 0.2619 16/2487 [..............................] - ETA: 5:43 - loss: 607.8237 - logits_profile_predictions_loss: 602.4223 - logcount_predictions_loss: 0.2609 17/2487 [..............................] - ETA: 5:43 - loss: 606.8019 - logits_profile_predictions_loss: 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loss: 599.1671 - logits_profile_predictions_loss: 593.8987 - logcount_predictions_loss: 0.2545 25/2487 [..............................] - ETA: 5:42 - loss: 598.1548 - logits_profile_predictions_loss: 592.8992 - logcount_predictions_loss: 0.2539 26/2487 [..............................] - ETA: 5:42 - loss: 597.1581 - logits_profile_predictions_loss: 591.9119 - logcount_predictions_loss: 0.2534 27/2487 [..............................] - ETA: 5:42 - loss: 596.1676 - logits_profile_predictions_loss: 590.9270 - logcount_predictions_loss: 0.2532 28/2487 [..............................] - ETA: 5:42 - loss: 595.1966 - logits_profile_predictions_loss: 589.9619 - logcount_predictions_loss: 0.2529 29/2487 [..............................] - ETA: 5:42 - loss: 594.3037 - logits_profile_predictions_loss: 589.0736 - logcount_predictions_loss: 0.2527 30/2487 [..............................] - ETA: 5:42 - loss: 593.5259 - logits_profile_predictions_loss: 588.3020 - logcount_predictions_loss: 0.2524 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logits_profile_predictions_loss: 584.5646 - logcount_predictions_loss: 0.2503 38/2487 [..............................] - ETA: 5:41 - loss: 589.2798 - logits_profile_predictions_loss: 584.1030 - logcount_predictions_loss: 0.2501 39/2487 [..............................] - ETA: 5:41 - loss: 588.8340 - logits_profile_predictions_loss: 583.6616 - logcount_predictions_loss: 0.2499 40/2487 [..............................] - ETA: 5:41 - loss: 588.3907 - logits_profile_predictions_loss: 583.2209 - logcount_predictions_loss: 0.2498 41/2487 [..............................] - ETA: 5:40 - loss: 588.0241 - logits_profile_predictions_loss: 582.8564 - logcount_predictions_loss: 0.2496 42/2487 [..............................] - ETA: 5:40 - loss: 587.6778 - logits_profile_predictions_loss: 582.5130 - logcount_predictions_loss: 0.2495 43/2487 [..............................] - ETA: 5:40 - loss: 587.4179 - logits_profile_predictions_loss: 582.2558 - logcount_predictions_loss: 0.2494 44/2487 [..............................] - ETA: 5:40 - loss: 587.1840 - logits_profile_predictions_loss: 582.0241 - logcount_predictions_loss: 0.2493 45/2487 [..............................] - ETA: 5:40 - loss: 586.9510 - logits_profile_predictions_loss: 581.7936 - logcount_predictions_loss: 0.2491 46/2487 [..............................] - ETA: 5:40 - loss: 586.7820 - logits_profile_predictions_loss: 581.6267 - logcount_predictions_loss: 0.2490 47/2487 [..............................] - ETA: 5:40 - loss: 586.6252 - logits_profile_predictions_loss: 581.4718 - logcount_predictions_loss: 0.2490 48/2487 [..............................] - ETA: 5:39 - loss: 586.4751 - logits_profile_predictions_loss: 581.3234 - logcount_predictions_loss: 0.2489 49/2487 [..............................] - ETA: 5:39 - loss: 586.3482 - logits_profile_predictions_loss: 581.1978 - logcount_predictions_loss: 0.2488 50/2487 [..............................] - ETA: 5:39 - loss: 586.2504 - logits_profile_predictions_loss: 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[===>..........................] - ETA: 4:53 - loss: 588.9189 - logits_profile_predictions_loss: 583.7880 - logcount_predictions_loss: 0.2479 384/2487 [===>..........................] - ETA: 4:53 - loss: 588.9182 - logits_profile_predictions_loss: 583.7875 - logcount_predictions_loss: 0.2479 385/2487 [===>..........................] - ETA: 4:53 - loss: 588.9180 - logits_profile_predictions_loss: 583.7875 - logcount_predictions_loss: 0.2479 386/2487 [===>..........................] - ETA: 4:53 - loss: 588.9178 - logits_profile_predictions_loss: 583.7875 - logcount_predictions_loss: 0.2478 387/2487 [===>..........................] - ETA: 4:53 - loss: 588.9175 - logits_profile_predictions_loss: 583.7875 - logcount_predictions_loss: 0.2478 388/2487 [===>..........................] - ETA: 4:52 - loss: 588.9172 - logits_profile_predictions_loss: 583.7873 - logcount_predictions_loss: 0.2478 389/2487 [===>..........................] - ETA: 4:52 - loss: 588.9170 - 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[===>..........................] - ETA: 4:51 - loss: 588.9188 - logits_profile_predictions_loss: 583.7906 - logcount_predictions_loss: 0.2477 397/2487 [===>..........................] - ETA: 4:51 - loss: 588.9200 - logits_profile_predictions_loss: 583.7920 - logcount_predictions_loss: 0.2477 398/2487 [===>..........................] - ETA: 4:51 - loss: 588.9213 - logits_profile_predictions_loss: 583.7935 - logcount_predictions_loss: 0.2477 399/2487 [===>..........................] - ETA: 4:51 - loss: 588.9227 - logits_profile_predictions_loss: 583.7951 - logcount_predictions_loss: 0.2477 400/2487 [===>..........................] - ETA: 4:51 - loss: 588.9239 - logits_profile_predictions_loss: 583.7965 - logcount_predictions_loss: 0.2477 401/2487 [===>..........................] - ETA: 4:51 - loss: 588.9253 - logits_profile_predictions_loss: 583.7982 - logcount_predictions_loss: 0.2477 402/2487 [===>..........................] - ETA: 4:50 - loss: 588.9265 - 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[===>..........................] - ETA: 4:49 - loss: 588.9313 - logits_profile_predictions_loss: 583.8060 - logcount_predictions_loss: 0.2476 410/2487 [===>..........................] - ETA: 4:49 - loss: 588.9318 - logits_profile_predictions_loss: 583.8067 - logcount_predictions_loss: 0.2476 411/2487 [===>..........................] - ETA: 4:49 - loss: 588.9323 - logits_profile_predictions_loss: 583.8073 - logcount_predictions_loss: 0.2476 412/2487 [===>..........................] - ETA: 4:49 - loss: 588.9331 - logits_profile_predictions_loss: 583.8084 - logcount_predictions_loss: 0.2476 413/2487 [===>..........................] - ETA: 4:49 - loss: 588.9337 - logits_profile_predictions_loss: 583.8093 - logcount_predictions_loss: 0.2476 414/2487 [===>..........................] - ETA: 4:49 - loss: 588.9347 - logits_profile_predictions_loss: 583.8104 - logcount_predictions_loss: 0.2476 415/2487 [====>.........................] - ETA: 4:49 - loss: 588.9361 - 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582.2366 - logcount_predictions_loss: 0.2426 2484/2487 [============================>.] - ETA: 0s - loss: 587.2569 - logits_profile_predictions_loss: 582.2358 - logcount_predictions_loss: 0.2426 2485/2487 [============================>.] - ETA: 0s - loss: 587.2560 - logits_profile_predictions_loss: 582.2350 - logcount_predictions_loss: 0.2426 2486/2487 [============================>.] - ETA: 0s - loss: 587.2551 - logits_profile_predictions_loss: 582.2341 - logcount_predictions_loss: 0.2426 2487/2487 [==============================] - ETA: 0s - loss: 587.2543 - logits_profile_predictions_loss: 582.2333 - logcount_predictions_loss: 0.2426 2487/2487 [==============================] - 363s 146ms/step - loss: 587.2534 - logits_profile_predictions_loss: 582.2325 - logcount_predictions_loss: 0.2426 - val_loss: 597.0726 - val_logits_profile_predictions_loss: 591.3182 - val_logcount_predictions_loss: 0.2780 + +Epoch 00012: val_loss did not improve from 594.34058 +Epoch 13/50 + 1/2487 [..............................] - ETA: 6:28 - loss: 596.6418 - logits_profile_predictions_loss: 592.5470 - logcount_predictions_loss: 0.1978 2/2487 [..............................] - ETA: 5:47 - loss: 593.7727 - logits_profile_predictions_loss: 590.0052 - logcount_predictions_loss: 0.1820 3/2487 [..............................] - ETA: 5:46 - loss: 589.9760 - logits_profile_predictions_loss: 586.0606 - logcount_predictions_loss: 0.1891 4/2487 [..............................] - ETA: 5:45 - loss: 592.3866 - logits_profile_predictions_loss: 588.4255 - logcount_predictions_loss: 0.1914 5/2487 [..............................] - ETA: 5:45 - loss: 591.7036 - logits_profile_predictions_loss: 587.7014 - logcount_predictions_loss: 0.1933 6/2487 [..............................] - ETA: 5:45 - loss: 591.7913 - logits_profile_predictions_loss: 587.7376 - logcount_predictions_loss: 0.1958 7/2487 [..............................] - ETA: 5:44 - loss: 592.1625 - logits_profile_predictions_loss: 588.0422 - logcount_predictions_loss: 0.1990 8/2487 [..............................] - ETA: 5:44 - loss: 593.3581 - logits_profile_predictions_loss: 589.1794 - logcount_predictions_loss: 0.2019 9/2487 [..............................] - ETA: 5:45 - loss: 594.3751 - logits_profile_predictions_loss: 590.1341 - logcount_predictions_loss: 0.2049 10/2487 [..............................] - ETA: 5:45 - loss: 595.2468 - logits_profile_predictions_loss: 590.9518 - logcount_predictions_loss: 0.2075 11/2487 [..............................] - ETA: 5:44 - loss: 595.3676 - logits_profile_predictions_loss: 591.0190 - logcount_predictions_loss: 0.2101 12/2487 [..............................] - ETA: 5:44 - loss: 595.3758 - logits_profile_predictions_loss: 590.9873 - logcount_predictions_loss: 0.2120 13/2487 [..............................] - ETA: 5:44 - loss: 595.8309 - logits_profile_predictions_loss: 591.4074 - logcount_predictions_loss: 0.2137 14/2487 [..............................] - ETA: 5:44 - loss: 596.0585 - logits_profile_predictions_loss: 591.6013 - logcount_predictions_loss: 0.2153 15/2487 [..............................] - ETA: 5:43 - loss: 595.8978 - logits_profile_predictions_loss: 591.4142 - logcount_predictions_loss: 0.2166 16/2487 [..............................] - ETA: 5:43 - loss: 595.5801 - logits_profile_predictions_loss: 591.0764 - logcount_predictions_loss: 0.2176 17/2487 [..............................] - ETA: 5:43 - loss: 595.1178 - logits_profile_predictions_loss: 590.6018 - logcount_predictions_loss: 0.2182 18/2487 [..............................] - ETA: 5:43 - loss: 594.6996 - logits_profile_predictions_loss: 590.1608 - logcount_predictions_loss: 0.2193 19/2487 [..............................] - ETA: 5:43 - loss: 594.5690 - logits_profile_predictions_loss: 590.0114 - logcount_predictions_loss: 0.2202 20/2487 [..............................] - ETA: 5:43 - loss: 594.4586 - logits_profile_predictions_loss: 589.8854 - logcount_predictions_loss: 0.2209 21/2487 [..............................] - ETA: 5:42 - loss: 594.2035 - logits_profile_predictions_loss: 589.6151 - logcount_predictions_loss: 0.2217 22/2487 [..............................] - ETA: 5:42 - loss: 594.0457 - logits_profile_predictions_loss: 589.4430 - logcount_predictions_loss: 0.2224 23/2487 [..............................] - ETA: 5:42 - loss: 593.7902 - logits_profile_predictions_loss: 589.1744 - logcount_predictions_loss: 0.2230 24/2487 [..............................] - ETA: 5:42 - loss: 593.6416 - logits_profile_predictions_loss: 589.0121 - logcount_predictions_loss: 0.2237 25/2487 [..............................] - ETA: 5:42 - loss: 593.4147 - logits_profile_predictions_loss: 588.7736 - logcount_predictions_loss: 0.2242 26/2487 [..............................] - ETA: 5:42 - loss: 593.1063 - logits_profile_predictions_loss: 588.4527 - logcount_predictions_loss: 0.2248 27/2487 [..............................] - ETA: 5:42 - loss: 592.7539 - logits_profile_predictions_loss: 588.0876 - logcount_predictions_loss: 0.2254 28/2487 [..............................] - ETA: 5:41 - loss: 592.3816 - logits_profile_predictions_loss: 587.7034 - logcount_predictions_loss: 0.2260 29/2487 [..............................] - ETA: 5:41 - loss: 592.1141 - logits_profile_predictions_loss: 587.4250 - logcount_predictions_loss: 0.2265 30/2487 [..............................] - ETA: 5:41 - loss: 591.7915 - logits_profile_predictions_loss: 587.0926 - logcount_predictions_loss: 0.2270 31/2487 [..............................] - ETA: 5:41 - loss: 591.6511 - logits_profile_predictions_loss: 586.9427 - logcount_predictions_loss: 0.2275 32/2487 [..............................] - ETA: 5:41 - loss: 591.5029 - logits_profile_predictions_loss: 586.7853 - logcount_predictions_loss: 0.2279 33/2487 [..............................] - ETA: 5:41 - loss: 591.3599 - logits_profile_predictions_loss: 586.6345 - logcount_predictions_loss: 0.2283 34/2487 [..............................] - ETA: 5:41 - loss: 591.2837 - logits_profile_predictions_loss: 586.5509 - logcount_predictions_loss: 0.2286 35/2487 [..............................] - ETA: 5:40 - loss: 591.2594 - logits_profile_predictions_loss: 586.5182 - logcount_predictions_loss: 0.2290 36/2487 [..............................] - ETA: 5:40 - loss: 591.2451 - logits_profile_predictions_loss: 586.4959 - logcount_predictions_loss: 0.2294 37/2487 [..............................] - ETA: 5:40 - loss: 591.2028 - logits_profile_predictions_loss: 586.4464 - logcount_predictions_loss: 0.2298 38/2487 [..............................] - ETA: 5:40 - loss: 591.1910 - logits_profile_predictions_loss: 586.4287 - logcount_predictions_loss: 0.2301 39/2487 [..............................] - ETA: 5:40 - loss: 591.1450 - logits_profile_predictions_loss: 586.3775 - logcount_predictions_loss: 0.2303 40/2487 [..............................] - ETA: 5:40 - loss: 591.0901 - logits_profile_predictions_loss: 586.3175 - logcount_predictions_loss: 0.2306 41/2487 [..............................] - ETA: 5:39 - loss: 591.0020 - logits_profile_predictions_loss: 586.2249 - logcount_predictions_loss: 0.2308 42/2487 [..............................] - ETA: 5:39 - loss: 590.9494 - logits_profile_predictions_loss: 586.1661 - logcount_predictions_loss: 0.2311 43/2487 [..............................] - ETA: 5:39 - loss: 590.8792 - logits_profile_predictions_loss: 586.0901 - logcount_predictions_loss: 0.2314 44/2487 [..............................] - ETA: 5:39 - loss: 590.8460 - logits_profile_predictions_loss: 586.0515 - logcount_predictions_loss: 0.2316 45/2487 [..............................] - ETA: 5:39 - loss: 590.8340 - logits_profile_predictions_loss: 586.0345 - logcount_predictions_loss: 0.2319 46/2487 [..............................] - ETA: 5:39 - loss: 590.8034 - logits_profile_predictions_loss: 585.9991 - logcount_predictions_loss: 0.2321 47/2487 [..............................] - ETA: 5:39 - loss: 590.7628 - logits_profile_predictions_loss: 585.9540 - logcount_predictions_loss: 0.2323 48/2487 [..............................] - ETA: 5:39 - loss: 590.7410 - logits_profile_predictions_loss: 585.9283 - logcount_predictions_loss: 0.2325 49/2487 [..............................] - ETA: 5:38 - loss: 590.6896 - logits_profile_predictions_loss: 585.8733 - logcount_predictions_loss: 0.2327 50/2487 [..............................] - ETA: 5:38 - loss: 590.6522 - logits_profile_predictions_loss: 585.8327 - logcount_predictions_loss: 0.2328 51/2487 [..............................] - ETA: 5:38 - loss: 590.6145 - logits_profile_predictions_loss: 585.7922 - logcount_predictions_loss: 0.2330 52/2487 [..............................] - ETA: 5:38 - loss: 590.5769 - logits_profile_predictions_loss: 585.7519 - logcount_predictions_loss: 0.2331 53/2487 [..............................] - ETA: 5:38 - loss: 590.5402 - logits_profile_predictions_loss: 585.7119 - logcount_predictions_loss: 0.2333 54/2487 [..............................] - ETA: 5:38 - loss: 590.5067 - logits_profile_predictions_loss: 585.6757 - logcount_predictions_loss: 0.2334 55/2487 [..............................] - ETA: 5:38 - loss: 590.5066 - logits_profile_predictions_loss: 585.6730 - logcount_predictions_loss: 0.2335 56/2487 [..............................] - ETA: 5:38 - loss: 590.5082 - logits_profile_predictions_loss: 585.6724 - logcount_predictions_loss: 0.2336 57/2487 [..............................] - ETA: 5:37 - loss: 590.5037 - logits_profile_predictions_loss: 585.6661 - logcount_predictions_loss: 0.2337 58/2487 [..............................] - ETA: 5:37 - loss: 590.5158 - logits_profile_predictions_loss: 585.6761 - logcount_predictions_loss: 0.2338 59/2487 [..............................] - ETA: 5:37 - loss: 590.5271 - logits_profile_predictions_loss: 585.6857 - logcount_predictions_loss: 0.2339 60/2487 [..............................] - ETA: 5:37 - loss: 590.5359 - logits_profile_predictions_loss: 585.6930 - logcount_predictions_loss: 0.2340 61/2487 [..............................] - ETA: 5:37 - loss: 590.5206 - logits_profile_predictions_loss: 585.6765 - logcount_predictions_loss: 0.2340 62/2487 [..............................] - ETA: 5:37 - loss: 590.5042 - logits_profile_predictions_loss: 585.6593 - logcount_predictions_loss: 0.2340 63/2487 [..............................] - ETA: 5:37 - loss: 590.5003 - logits_profile_predictions_loss: 585.6552 - logcount_predictions_loss: 0.2341 64/2487 [..............................] - ETA: 5:36 - loss: 590.4948 - logits_profile_predictions_loss: 585.6495 - logcount_predictions_loss: 0.2341 65/2487 [..............................] - ETA: 5:36 - loss: 590.4785 - logits_profile_predictions_loss: 585.6329 - logcount_predictions_loss: 0.2341 66/2487 [..............................] - ETA: 5:36 - loss: 590.4748 - logits_profile_predictions_loss: 585.6288 - logcount_predictions_loss: 0.2341 67/2487 [..............................] - ETA: 5:36 - loss: 590.4655 - logits_profile_predictions_loss: 585.6192 - logcount_predictions_loss: 0.2341 68/2487 [..............................] - ETA: 5:36 - loss: 590.4493 - logits_profile_predictions_loss: 585.6028 - logcount_predictions_loss: 0.2341 69/2487 [..............................] - ETA: 5:36 - loss: 590.4239 - logits_profile_predictions_loss: 585.5773 - logcount_predictions_loss: 0.2341 70/2487 [..............................] - ETA: 5:36 - loss: 590.3876 - logits_profile_predictions_loss: 585.5408 - logcount_predictions_loss: 0.2341 71/2487 [..............................] - ETA: 5:35 - loss: 590.3409 - logits_profile_predictions_loss: 585.4938 - logcount_predictions_loss: 0.2342 72/2487 [..............................] - ETA: 5:35 - loss: 590.2874 - logits_profile_predictions_loss: 585.4402 - logcount_predictions_loss: 0.2342 73/2487 [..............................] - ETA: 5:35 - loss: 590.2593 - logits_profile_predictions_loss: 585.4122 - logcount_predictions_loss: 0.2342 74/2487 [..............................] - ETA: 5:35 - loss: 590.2249 - logits_profile_predictions_loss: 585.3777 - logcount_predictions_loss: 0.2342 75/2487 [..............................] - ETA: 5:35 - loss: 590.2059 - logits_profile_predictions_loss: 585.3587 - logcount_predictions_loss: 0.2342 76/2487 [..............................] - ETA: 5:35 - loss: 590.2056 - logits_profile_predictions_loss: 585.3585 - logcount_predictions_loss: 0.2342 77/2487 [..............................] - ETA: 5:35 - loss: 590.1994 - logits_profile_predictions_loss: 585.3525 - logcount_predictions_loss: 0.2341 78/2487 [..............................] - ETA: 5:35 - loss: 590.1969 - logits_profile_predictions_loss: 585.3503 - logcount_predictions_loss: 0.2341 79/2487 [..............................] - ETA: 5:34 - loss: 590.1977 - logits_profile_predictions_loss: 585.3514 - logcount_predictions_loss: 0.2341 80/2487 [..............................] - ETA: 5:34 - loss: 590.2043 - logits_profile_predictions_loss: 585.3582 - logcount_predictions_loss: 0.2341 81/2487 [..............................] - ETA: 5:34 - loss: 590.2066 - logits_profile_predictions_loss: 585.3608 - logcount_predictions_loss: 0.2341 82/2487 [..............................] - ETA: 5:34 - loss: 590.2166 - logits_profile_predictions_loss: 585.3710 - logcount_predictions_loss: 0.2341 83/2487 [>.............................] - ETA: 5:34 - loss: 590.2338 - logits_profile_predictions_loss: 585.3884 - logcount_predictions_loss: 0.2341 84/2487 [>.............................] - ETA: 5:34 - loss: 590.2556 - logits_profile_predictions_loss: 585.4106 - logcount_predictions_loss: 0.2341 85/2487 [>.............................] - ETA: 5:34 - loss: 590.2692 - logits_profile_predictions_loss: 585.4244 - logcount_predictions_loss: 0.2341 86/2487 [>.............................] - ETA: 5:34 - loss: 590.2786 - logits_profile_predictions_loss: 585.4340 - logcount_predictions_loss: 0.2340 87/2487 [>.............................] - ETA: 5:33 - loss: 590.2868 - logits_profile_predictions_loss: 585.4424 - logcount_predictions_loss: 0.2340 88/2487 [>.............................] - ETA: 5:33 - loss: 590.2880 - logits_profile_predictions_loss: 585.4439 - logcount_predictions_loss: 0.2340 89/2487 [>.............................] - ETA: 5:33 - loss: 590.2853 - logits_profile_predictions_loss: 585.4415 - logcount_predictions_loss: 0.2340 90/2487 [>.............................] - ETA: 5:33 - loss: 590.2801 - logits_profile_predictions_loss: 585.4366 - logcount_predictions_loss: 0.2340 91/2487 [>.............................] - ETA: 5:33 - loss: 590.2689 - logits_profile_predictions_loss: 585.4257 - logcount_predictions_loss: 0.2340 92/2487 [>.............................] - ETA: 5:33 - loss: 590.2575 - logits_profile_predictions_loss: 585.4144 - logcount_predictions_loss: 0.2340 93/2487 [>.............................] - ETA: 5:33 - loss: 590.2452 - logits_profile_predictions_loss: 585.4022 - logcount_predictions_loss: 0.2340 94/2487 [>.............................] - ETA: 5:32 - loss: 590.2325 - logits_profile_predictions_loss: 585.3896 - logcount_predictions_loss: 0.2340 95/2487 [>.............................] - ETA: 5:32 - loss: 590.2201 - logits_profile_predictions_loss: 585.3773 - logcount_predictions_loss: 0.2340 96/2487 [>.............................] - ETA: 5:32 - loss: 590.2141 - logits_profile_predictions_loss: 585.3716 - logcount_predictions_loss: 0.2339 97/2487 [>.............................] - ETA: 5:32 - loss: 590.2030 - logits_profile_predictions_loss: 585.3608 - logcount_predictions_loss: 0.2339 98/2487 [>.............................] - ETA: 5:32 - loss: 590.1871 - logits_profile_predictions_loss: 585.3451 - logcount_predictions_loss: 0.2339 99/2487 [>.............................] - ETA: 5:32 - loss: 590.1648 - logits_profile_predictions_loss: 585.3232 - logcount_predictions_loss: 0.2339 100/2487 [>.............................] - ETA: 5:32 - loss: 590.1425 - logits_profile_predictions_loss: 585.3014 - logcount_predictions_loss: 0.2339 101/2487 [>.............................] - ETA: 5:31 - loss: 590.1170 - logits_profile_predictions_loss: 585.2764 - logcount_predictions_loss: 0.2339 102/2487 [>.............................] - ETA: 5:31 - loss: 590.0916 - logits_profile_predictions_loss: 585.2514 - logcount_predictions_loss: 0.2338 103/2487 [>.............................] - ETA: 5:31 - loss: 590.0681 - logits_profile_predictions_loss: 585.2283 - logcount_predictions_loss: 0.2338 104/2487 [>.............................] - ETA: 5:31 - loss: 590.0442 - logits_profile_predictions_loss: 585.2047 - logcount_predictions_loss: 0.2338 105/2487 [>.............................] - ETA: 5:31 - loss: 590.0221 - logits_profile_predictions_loss: 585.1831 - logcount_predictions_loss: 0.2338 106/2487 [>.............................] - ETA: 5:31 - loss: 589.9995 - logits_profile_predictions_loss: 585.1611 - logcount_predictions_loss: 0.2337 107/2487 [>.............................] - ETA: 5:31 - loss: 589.9768 - logits_profile_predictions_loss: 585.1386 - logcount_predictions_loss: 0.2337 108/2487 [>.............................] - ETA: 5:30 - loss: 589.9521 - logits_profile_predictions_loss: 585.1142 - logcount_predictions_loss: 0.2337 109/2487 [>.............................] - ETA: 5:30 - loss: 589.9275 - logits_profile_predictions_loss: 585.0898 - logcount_predictions_loss: 0.2337 110/2487 [>.............................] - ETA: 5:30 - loss: 589.9050 - logits_profile_predictions_loss: 585.0674 - logcount_predictions_loss: 0.2337 111/2487 [>.............................] - ETA: 5:30 - loss: 589.8844 - logits_profile_predictions_loss: 585.0468 - logcount_predictions_loss: 0.2337 112/2487 [>.............................] - ETA: 5:30 - loss: 589.8589 - logits_profile_predictions_loss: 585.0214 - logcount_predictions_loss: 0.2337 113/2487 [>.............................] - ETA: 5:30 - loss: 589.8341 - logits_profile_predictions_loss: 584.9967 - logcount_predictions_loss: 0.2337 114/2487 [>.............................] - ETA: 5:30 - loss: 589.8124 - logits_profile_predictions_loss: 584.9752 - logcount_predictions_loss: 0.2337 115/2487 [>.............................] - ETA: 5:29 - loss: 589.7907 - logits_profile_predictions_loss: 584.9536 - logcount_predictions_loss: 0.2337 116/2487 [>.............................] - ETA: 5:29 - loss: 589.7727 - logits_profile_predictions_loss: 584.9356 - logcount_predictions_loss: 0.2337 117/2487 [>.............................] - ETA: 5:29 - loss: 589.7566 - logits_profile_predictions_loss: 584.9195 - logcount_predictions_loss: 0.2337 118/2487 [>.............................] - ETA: 5:29 - loss: 589.7400 - logits_profile_predictions_loss: 584.9030 - logcount_predictions_loss: 0.2337 119/2487 [>.............................] - ETA: 5:29 - loss: 589.7263 - logits_profile_predictions_loss: 584.8893 - logcount_predictions_loss: 0.2337 120/2487 [>.............................] - ETA: 5:29 - loss: 589.7057 - logits_profile_predictions_loss: 584.8688 - logcount_predictions_loss: 0.2337 121/2487 [>.............................] - ETA: 5:29 - loss: 589.6874 - logits_profile_predictions_loss: 584.8504 - logcount_predictions_loss: 0.2337 122/2487 [>.............................] - ETA: 5:28 - loss: 589.6706 - logits_profile_predictions_loss: 584.8333 - logcount_predictions_loss: 0.2337 123/2487 [>.............................] - ETA: 5:28 - loss: 589.6521 - logits_profile_predictions_loss: 584.8145 - logcount_predictions_loss: 0.2337 124/2487 [>.............................] - ETA: 5:28 - loss: 589.6374 - logits_profile_predictions_loss: 584.7995 - logcount_predictions_loss: 0.2337 125/2487 [>.............................] - ETA: 5:28 - loss: 589.6202 - logits_profile_predictions_loss: 584.7821 - logcount_predictions_loss: 0.2337 126/2487 [>.............................] - ETA: 5:28 - loss: 589.6075 - logits_profile_predictions_loss: 584.7690 - logcount_predictions_loss: 0.2338 127/2487 [>.............................] - ETA: 5:28 - loss: 589.5914 - logits_profile_predictions_loss: 584.7527 - logcount_predictions_loss: 0.2338 128/2487 [>.............................] - ETA: 5:28 - loss: 589.5741 - logits_profile_predictions_loss: 584.7351 - logcount_predictions_loss: 0.2338 129/2487 [>.............................] - ETA: 5:27 - loss: 589.5545 - logits_profile_predictions_loss: 584.7153 - logcount_predictions_loss: 0.2338 130/2487 [>.............................] - ETA: 5:27 - loss: 589.5382 - logits_profile_predictions_loss: 584.6987 - logcount_predictions_loss: 0.2338 131/2487 [>.............................] - ETA: 5:27 - loss: 589.5217 - logits_profile_predictions_loss: 584.6821 - logcount_predictions_loss: 0.2338 132/2487 [>.............................] - ETA: 5:27 - loss: 589.5061 - logits_profile_predictions_loss: 584.6662 - logcount_predictions_loss: 0.2338 133/2487 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logits_profile_predictions_loss: 582.4334 - logcount_predictions_loss: 0.2341 374/2487 [===>..........................] - ETA: 4:54 - loss: 587.2718 - logits_profile_predictions_loss: 582.4259 - logcount_predictions_loss: 0.2341 375/2487 [===>..........................] - ETA: 4:54 - loss: 587.2643 - logits_profile_predictions_loss: 582.4184 - logcount_predictions_loss: 0.2341 376/2487 [===>..........................] - ETA: 4:53 - loss: 587.2569 - logits_profile_predictions_loss: 582.4110 - logcount_predictions_loss: 0.2341 377/2487 [===>..........................] - ETA: 4:53 - loss: 587.2489 - logits_profile_predictions_loss: 582.4031 - logcount_predictions_loss: 0.2341 378/2487 [===>..........................] - ETA: 4:53 - loss: 587.2412 - logits_profile_predictions_loss: 582.3953 - logcount_predictions_loss: 0.2341 379/2487 [===>..........................] - ETA: 4:53 - loss: 587.2334 - logits_profile_predictions_loss: 582.3875 - logcount_predictions_loss: 0.2341 380/2487 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logits_profile_predictions_loss: 582.3305 - logcount_predictions_loss: 0.2341 387/2487 [===>..........................] - ETA: 4:52 - loss: 587.1686 - logits_profile_predictions_loss: 582.3225 - logcount_predictions_loss: 0.2341 388/2487 [===>..........................] - ETA: 4:52 - loss: 587.1607 - logits_profile_predictions_loss: 582.3146 - logcount_predictions_loss: 0.2341 389/2487 [===>..........................] - ETA: 4:52 - loss: 587.1527 - logits_profile_predictions_loss: 582.3067 - logcount_predictions_loss: 0.2341 390/2487 [===>..........................] - ETA: 4:52 - loss: 587.1452 - logits_profile_predictions_loss: 582.2991 - logcount_predictions_loss: 0.2341 391/2487 [===>..........................] - ETA: 4:51 - loss: 587.1380 - logits_profile_predictions_loss: 582.2919 - logcount_predictions_loss: 0.2341 392/2487 [===>..........................] - ETA: 4:51 - loss: 587.1309 - logits_profile_predictions_loss: 582.2848 - logcount_predictions_loss: 0.2341 393/2487 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logits_profile_predictions_loss: 582.2297 - logcount_predictions_loss: 0.2341 400/2487 [===>..........................] - ETA: 4:50 - loss: 587.0686 - logits_profile_predictions_loss: 582.2222 - logcount_predictions_loss: 0.2341 401/2487 [===>..........................] - ETA: 4:50 - loss: 587.0611 - logits_profile_predictions_loss: 582.2146 - logcount_predictions_loss: 0.2341 402/2487 [===>..........................] - ETA: 4:50 - loss: 587.0539 - logits_profile_predictions_loss: 582.2074 - logcount_predictions_loss: 0.2341 403/2487 [===>..........................] - ETA: 4:50 - loss: 587.0468 - logits_profile_predictions_loss: 582.2003 - logcount_predictions_loss: 0.2341 404/2487 [===>..........................] - ETA: 4:50 - loss: 587.0400 - logits_profile_predictions_loss: 582.1934 - logcount_predictions_loss: 0.2341 405/2487 [===>..........................] - ETA: 4:49 - loss: 587.0330 - logits_profile_predictions_loss: 582.1864 - logcount_predictions_loss: 0.2342 406/2487 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loss: 583.1043 - logits_profile_predictions_loss: 578.3278 - logcount_predictions_loss: 0.2308 2435/2487 [============================>.] - ETA: 7s - loss: 583.1033 - logits_profile_predictions_loss: 578.3269 - logcount_predictions_loss: 0.2308 2436/2487 [============================>.] - ETA: 7s - loss: 583.1024 - logits_profile_predictions_loss: 578.3260 - logcount_predictions_loss: 0.2308 2437/2487 [============================>.] - ETA: 6s - loss: 583.1015 - logits_profile_predictions_loss: 578.3250 - logcount_predictions_loss: 0.2308 2438/2487 [============================>.] - ETA: 6s - loss: 583.1005 - logits_profile_predictions_loss: 578.3241 - logcount_predictions_loss: 0.2308 2439/2487 [============================>.] - ETA: 6s - loss: 583.0996 - logits_profile_predictions_loss: 578.3232 - logcount_predictions_loss: 0.2308 2440/2487 [============================>.] - ETA: 6s - loss: 583.0987 - logits_profile_predictions_loss: 578.3223 - logcount_predictions_loss: 0.2308 2441/2487 [============================>.] - ETA: 6s - loss: 583.0978 - logits_profile_predictions_loss: 578.3214 - logcount_predictions_loss: 0.2308 2442/2487 [============================>.] - ETA: 6s - loss: 583.0968 - logits_profile_predictions_loss: 578.3204 - logcount_predictions_loss: 0.2308 2443/2487 [============================>.] - ETA: 6s - loss: 583.0959 - logits_profile_predictions_loss: 578.3195 - logcount_predictions_loss: 0.2308 2444/2487 [============================>.] - ETA: 5s - loss: 583.0950 - logits_profile_predictions_loss: 578.3186 - logcount_predictions_loss: 0.2308 2445/2487 [============================>.] - ETA: 5s - loss: 583.0940 - logits_profile_predictions_loss: 578.3177 - logcount_predictions_loss: 0.2308 2446/2487 [============================>.] - ETA: 5s - loss: 583.0931 - logits_profile_predictions_loss: 578.3168 - logcount_predictions_loss: 0.2308 2447/2487 [============================>.] - ETA: 5s - loss: 583.0922 - logits_profile_predictions_loss: 578.3159 - logcount_predictions_loss: 0.2308 2448/2487 [============================>.] - ETA: 5s - loss: 583.0913 - logits_profile_predictions_loss: 578.3150 - logcount_predictions_loss: 0.2308 2449/2487 [============================>.] - ETA: 5s - loss: 583.0904 - logits_profile_predictions_loss: 578.3141 - logcount_predictions_loss: 0.2308 2450/2487 [============================>.] - ETA: 5s - loss: 583.0895 - logits_profile_predictions_loss: 578.3132 - logcount_predictions_loss: 0.2308 2451/2487 [============================>.] - ETA: 5s - loss: 583.0886 - logits_profile_predictions_loss: 578.3122 - logcount_predictions_loss: 0.2308 2452/2487 [============================>.] - ETA: 4s - loss: 583.0876 - logits_profile_predictions_loss: 578.3113 - logcount_predictions_loss: 0.2308 2453/2487 [============================>.] - ETA: 4s - loss: 583.0867 - logits_profile_predictions_loss: 578.3104 - logcount_predictions_loss: 0.2308 2454/2487 [============================>.] - ETA: 4s - loss: 583.0858 - logits_profile_predictions_loss: 578.3095 - logcount_predictions_loss: 0.2308 2455/2487 [============================>.] - ETA: 4s - loss: 583.0849 - logits_profile_predictions_loss: 578.3087 - logcount_predictions_loss: 0.2308 2456/2487 [============================>.] - ETA: 4s - loss: 583.0840 - logits_profile_predictions_loss: 578.3078 - logcount_predictions_loss: 0.2308 2457/2487 [============================>.] - ETA: 4s - loss: 583.0832 - logits_profile_predictions_loss: 578.3069 - logcount_predictions_loss: 0.2308 2458/2487 [============================>.] - ETA: 4s - loss: 583.0823 - logits_profile_predictions_loss: 578.3060 - logcount_predictions_loss: 0.2308 2459/2487 [============================>.] - ETA: 3s - loss: 583.0813 - logits_profile_predictions_loss: 578.3051 - logcount_predictions_loss: 0.2308 2460/2487 [============================>.] - ETA: 3s - loss: 583.0804 - logits_profile_predictions_loss: 578.3042 - logcount_predictions_loss: 0.2308 2461/2487 [============================>.] - ETA: 3s - loss: 583.0796 - logits_profile_predictions_loss: 578.3033 - logcount_predictions_loss: 0.2308 2462/2487 [============================>.] - ETA: 3s - loss: 583.0787 - logits_profile_predictions_loss: 578.3024 - logcount_predictions_loss: 0.2308 2463/2487 [============================>.] - ETA: 3s - loss: 583.0778 - logits_profile_predictions_loss: 578.3016 - logcount_predictions_loss: 0.2308 2464/2487 [============================>.] - ETA: 3s - loss: 583.0769 - logits_profile_predictions_loss: 578.3007 - logcount_predictions_loss: 0.2308 2465/2487 [============================>.] - ETA: 3s - loss: 583.0760 - logits_profile_predictions_loss: 578.2998 - logcount_predictions_loss: 0.2308 2466/2487 [============================>.] - ETA: 2s - loss: 583.0751 - logits_profile_predictions_loss: 578.2989 - logcount_predictions_loss: 0.2308 2467/2487 [============================>.] - ETA: 2s - loss: 583.0743 - logits_profile_predictions_loss: 578.2981 - logcount_predictions_loss: 0.2308 2468/2487 [============================>.] - ETA: 2s - loss: 583.0734 - logits_profile_predictions_loss: 578.2972 - logcount_predictions_loss: 0.2308 2469/2487 [============================>.] - ETA: 2s - loss: 583.0725 - logits_profile_predictions_loss: 578.2964 - logcount_predictions_loss: 0.2308 2470/2487 [============================>.] - ETA: 2s - loss: 583.0717 - logits_profile_predictions_loss: 578.2955 - logcount_predictions_loss: 0.2308 2471/2487 [============================>.] - ETA: 2s - loss: 583.0708 - logits_profile_predictions_loss: 578.2946 - logcount_predictions_loss: 0.2308 2472/2487 [============================>.] - ETA: 2s - loss: 583.0699 - logits_profile_predictions_loss: 578.2938 - logcount_predictions_loss: 0.2308 2473/2487 [============================>.] - ETA: 1s - loss: 583.0691 - logits_profile_predictions_loss: 578.2929 - logcount_predictions_loss: 0.2308 2474/2487 [============================>.] - ETA: 1s - loss: 583.0682 - logits_profile_predictions_loss: 578.2921 - logcount_predictions_loss: 0.2308 2475/2487 [============================>.] - ETA: 1s - loss: 583.0673 - logits_profile_predictions_loss: 578.2912 - logcount_predictions_loss: 0.2308 2476/2487 [============================>.] - ETA: 1s - loss: 583.0664 - logits_profile_predictions_loss: 578.2903 - logcount_predictions_loss: 0.2308 2477/2487 [============================>.] - ETA: 1s - loss: 583.0655 - logits_profile_predictions_loss: 578.2894 - logcount_predictions_loss: 0.2308 2478/2487 [============================>.] - ETA: 1s - loss: 583.0647 - logits_profile_predictions_loss: 578.2886 - logcount_predictions_loss: 0.2308 2479/2487 [============================>.] - ETA: 1s - loss: 583.0638 - logits_profile_predictions_loss: 578.2877 - logcount_predictions_loss: 0.2308 2480/2487 [============================>.] - ETA: 0s - loss: 583.0629 - logits_profile_predictions_loss: 578.2868 - logcount_predictions_loss: 0.2308 2481/2487 [============================>.] - ETA: 0s - loss: 583.0620 - logits_profile_predictions_loss: 578.2859 - logcount_predictions_loss: 0.2308 2482/2487 [============================>.] - ETA: 0s - loss: 583.0611 - logits_profile_predictions_loss: 578.2851 - logcount_predictions_loss: 0.2308 2483/2487 [============================>.] - ETA: 0s - loss: 583.0602 - logits_profile_predictions_loss: 578.2842 - logcount_predictions_loss: 0.2308 2484/2487 [============================>.] - ETA: 0s - loss: 583.0593 - logits_profile_predictions_loss: 578.2833 - logcount_predictions_loss: 0.2307 2485/2487 [============================>.] - ETA: 0s - loss: 583.0585 - logits_profile_predictions_loss: 578.2824 - logcount_predictions_loss: 0.2307 2486/2487 [============================>.] - ETA: 0s - loss: 583.0576 - logits_profile_predictions_loss: 578.2815 - logcount_predictions_loss: 0.2307 2487/2487 [==============================] - ETA: 0s - loss: 583.0567 - logits_profile_predictions_loss: 578.2806 - logcount_predictions_loss: 0.2307 2487/2487 [==============================] - 363s 146ms/step - loss: 583.0558 - logits_profile_predictions_loss: 578.2798 - logcount_predictions_loss: 0.2307 - val_loss: 595.7535 - val_logits_profile_predictions_loss: 590.0640 - val_logcount_predictions_loss: 0.2749 + +Epoch 00013: val_loss did not improve from 594.34058 +Restoring model weights from the end of the best epoch. +Epoch 00013: early stopping +save model +save model without bias +2022-10-13_00-02-50: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(38470, 10) +loading nonpeaks... +got split:test for bed regions:(43595, 10) +0/321 +100/321 +200/321 +300/321 +2022-10-13_00-06-44: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(38470, 10) +loading nonpeaks... +got split:test for bed regions:(43595, 10) +0/321 +100/321 +200/321 +300/321 +2022-10-13_00-10-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(38470, 10) +loading nonpeaks... +got split:test for bed regions:(43595, 10) +0/321 +100/321 +200/321 +300/321 +2022-10-13_00-12-20: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints +2022-10-13_00-12-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo dnase_1,dnase_2 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: dnase_1 +TTTACAAGTCCA + 1/35 [..............................] - ETA: 3:33 3/35 [=>............................] - ETA: 10s  4/35 [==>...........................] - ETA: 13s 5/35 [===>..........................] - ETA: 14s 6/35 [====>.........................] - ETA: 14s 7/35 [=====>........................] - ETA: 14s 8/35 [=====>........................] - ETA: 14s 9/35 [======>.......................] - ETA: 14s 10/35 [=======>......................] - ETA: 13s 11/35 [========>.....................] - ETA: 13s 12/35 [=========>....................] - ETA: 13s 13/35 [==========>...................] - ETA: 12s 14/35 [===========>..................] - ETA: 12s 15/35 [===========>..................] - ETA: 11s 16/35 [============>.................] - ETA: 11s 17/35 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[==>...........................] - ETA: 19s 5/35 [===>..........................] - ETA: 18s 6/35 [====>.........................] - ETA: 18s 7/35 [=====>........................] - ETA: 17s 8/35 [=====>........................] - ETA: 16s 9/35 [======>.......................] - ETA: 16s 10/35 [=======>......................] - ETA: 15s 11/35 [========>.....................] - ETA: 14s 12/35 [=========>....................] - ETA: 14s 13/35 [==========>...................] - ETA: 13s 14/35 [===========>..................] - ETA: 13s 15/35 [===========>..................] - ETA: 12s 16/35 [============>.................] - ETA: 11s 17/35 [=============>................] - ETA: 11s 18/35 [==============>...............] - ETA: 10s 19/35 [===============>..............] - ETA: 9s  20/35 [================>.............] - ETA: 9s 21/35 [=================>............] - ETA: 8s 22/35 [=================>............] - ETA: 8s 23/35 [==================>...........] - ETA: 7s 24/35 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[=======================>......] - ETA: 4s 29/35 [=======================>......] - ETA: 3s 30/35 [========================>.....] - ETA: 3s 31/35 [=========================>....] - ETA: 2s 32/35 [==========================>...] - ETA: 1s 33/35 [===========================>..] - ETA: 1s 34/35 [============================>.] - ETA: 0s 35/35 [==============================] - ETA: 0s 35/35 [==============================] - 21s 627ms/step +Saving marginal footprints +2022-10-13_00-14-10: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints +2022-10-13_00-14-10: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo dnase_1,dnase_2 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: dnase_1 +TTTACAAGTCCA + 1/35 [..............................] - ETA: 1:37 3/35 [=>............................] - ETA: 0s  5/35 [===>..........................] - ETA: 1s 7/35 [=====>........................] - ETA: 1s 9/35 [======>.......................] - ETA: 1s 10/35 [=======>......................] - 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[========>.....................] - ETA: 1s 13/35 [==========>...................] - ETA: 1s 15/35 [===========>..................] - ETA: 0s 16/35 [============>.................] - ETA: 0s 17/35 [=============>................] - ETA: 0s 19/35 [===============>..............] - ETA: 0s 21/35 [=================>............] - ETA: 0s 23/35 [==================>...........] - ETA: 0s 25/35 [====================>.........] - ETA: 0s 27/35 [======================>.......] - ETA: 0s 29/35 [=======================>......] - ETA: 0s 31/35 [=========================>....] - ETA: 0s 33/35 [===========================>..] - ETA: 0s 35/35 [==============================] - ETA: 0s 35/35 [==============================] - 2s 50ms/step +Saving marginal footprints diff --git a/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stdout_v1.txt b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stdout_v1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f214aab4f719c632a5d9956af9b2fda7b44400c --- /dev/null +++ b/fold_4/logs.models.fold_4.ENCSR417LPB/logfile.modelling.fold_4.ENCSR417LPB.stdout_v1.txt @@ -0,0 +1,436 @@ +2022-10-12_22-28-59: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --negative_sampling_ratio=0.1 \ + --inputlen=2114 \ + --outputlen=1000 \ + --max_jitter=500 \ + --filters=512 \ + --n_dilation_layers=8 \ + --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/ENCSR880CUB/fold_4/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] +Number of peaks input: 161530 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 161530 +Number of peaks input: 38470 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 38470 +Number of non peaks input: 156404 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 156404 +Number of non peaks input: 43595 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 43595 +Number of peaks after removing outliers: 159753 +Number of nonpeaks after removing outliers: 138896 +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/4341 [..............................] - ETA: 9:22:01 12/4341 [..............................] - ETA: 19s  23/4341 [..............................] - ETA: 19s 35/4341 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ETA: 0s 4209/4341 [============================>.] - ETA: 0s 4221/4341 [============================>.] - ETA: 0s 4233/4341 [============================>.] - ETA: 0s 4245/4341 [============================>.] - ETA: 0s 4257/4341 [============================>.] - ETA: 0s 4269/4341 [============================>.] - ETA: 0s 4281/4341 [============================>.] - ETA: 0s 4293/4341 [============================>.] - ETA: 0s 4305/4341 [============================>.] - ETA: 0s 4317/4341 [============================>.] - ETA: 0s 4329/4341 [============================>.] - ETA: 0s 4341/4341 [==============================] - ETA: 0s 4341/4341 [==============================] - 27s 5ms/step +2022-10-12_22-36-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --batch_size=64 \ + --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ + --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss +{'counts_loss_weight': '20.7', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(144696, 10) +loading nonpeaks... +got split:train for bed regions:(126929, 10) +loading peaks... +got split:valid for bed regions:(15057, 10) +loading nonpeaks... +got split:valid for bed regions:(11967, 10) +Epoch 1/50 + 1/2487 [..............................] - ETA: 4:48:04 - loss: 789.0363 - logits_profile_predictions_loss: 732.0316 - logcount_predictions_loss: 2.7538 2/2487 [..............................] - ETA: 5:50 - loss: 954.9818 - logits_profile_predictions_loss: 738.1912 - logcount_predictions_loss: 10.4730  3/2487 [..............................] - ETA: 5:48 - loss: 970.9253 - logits_profile_predictions_loss: 736.6378 - logcount_predictions_loss: 11.3182 4/2487 [..............................] - ETA: 5:48 - loss: 963.0566 - logits_profile_predictions_loss: 733.4477 - logcount_predictions_loss: 11.0922 5/2487 [..............................] - ETA: 5:47 - loss: 950.2195 - logits_profile_predictions_loss: 729.9431 - logcount_predictions_loss: 10.6414 6/2487 [..............................] - ETA: 5:47 - loss: 940.1042 - logits_profile_predictions_loss: 729.2361 - logcount_predictions_loss: 10.1869 7/2487 [..............................] - ETA: 5:47 - loss: 931.1082 - logits_profile_predictions_loss: 729.1358 - logcount_predictions_loss: 9.7571  8/2487 [..............................] - ETA: 5:46 - loss: 921.7286 - logits_profile_predictions_loss: 727.9906 - logcount_predictions_loss: 9.3593 9/2487 [..............................] - ETA: 5:46 - loss: 914.6557 - logits_profile_predictions_loss: 728.2229 - logcount_predictions_loss: 9.0064 10/2487 [..............................] - ETA: 5:46 - loss: 907.1430 - logits_profile_predictions_loss: 727.3609 - logcount_predictions_loss: 8.6851 11/2487 [..............................] - ETA: 5:46 - loss: 900.8845 - logits_profile_predictions_loss: 727.0263 - logcount_predictions_loss: 8.3989 12/2487 [..............................] - ETA: 5:46 - loss: 894.9505 - logits_profile_predictions_loss: 726.4846 - logcount_predictions_loss: 8.1384 13/2487 [..............................] - ETA: 5:45 - loss: 889.3604 - logits_profile_predictions_loss: 725.7996 - logcount_predictions_loss: 7.9015 14/2487 [..............................] - ETA: 5:45 - loss: 883.6492 - logits_profile_predictions_loss: 724.6030 - logcount_predictions_loss: 7.6834 15/2487 [..............................] - ETA: 5:45 - loss: 878.5567 - logits_profile_predictions_loss: 723.6180 - logcount_predictions_loss: 7.4850 16/2487 [..............................] - ETA: 5:45 - loss: 873.8295 - logits_profile_predictions_loss: 722.6513 - logcount_predictions_loss: 7.3033 17/2487 [..............................] - ETA: 5:45 - loss: 869.4058 - logits_profile_predictions_loss: 721.6896 - logcount_predictions_loss: 7.1360 18/2487 [..............................] - ETA: 5:45 - loss: 865.2773 - logits_profile_predictions_loss: 720.7813 - logcount_predictions_loss: 6.9805 19/2487 [..............................] - ETA: 5:45 - loss: 861.3278 - logits_profile_predictions_loss: 719.8411 - logcount_predictions_loss: 6.8351 20/2487 [..............................] - ETA: 5:45 - loss: 858.0049 - logits_profile_predictions_loss: 719.2733 - logcount_predictions_loss: 6.7020 21/2487 [..............................] - ETA: 5:45 - loss: 855.1499 - logits_profile_predictions_loss: 718.9449 - logcount_predictions_loss: 6.5800 22/2487 [..............................] - ETA: 5:44 - loss: 852.5210 - logits_profile_predictions_loss: 718.6756 - logcount_predictions_loss: 6.4660 23/2487 [..............................] - ETA: 5:44 - loss: 849.9501 - logits_profile_predictions_loss: 718.3146 - logcount_predictions_loss: 6.3592 24/2487 [..............................] - ETA: 5:44 - loss: 847.6391 - logits_profile_predictions_loss: 718.0637 - logcount_predictions_loss: 6.2597 25/2487 [..............................] - ETA: 5:44 - loss: 845.4497 - logits_profile_predictions_loss: 717.8111 - logcount_predictions_loss: 6.1661 26/2487 [..............................] - ETA: 5:44 - loss: 843.3756 - logits_profile_predictions_loss: 717.5627 - logcount_predictions_loss: 6.0779 27/2487 [..............................] - ETA: 5:44 - loss: 841.4115 - logits_profile_predictions_loss: 717.3231 - logcount_predictions_loss: 5.9946 28/2487 [..............................] - ETA: 5:44 - loss: 839.7882 - logits_profile_predictions_loss: 717.3211 - logcount_predictions_loss: 5.9163 29/2487 [..............................] - ETA: 5:44 - loss: 838.3098 - logits_profile_predictions_loss: 717.3695 - logcount_predictions_loss: 5.8425 30/2487 [..............................] - ETA: 5:43 - loss: 836.9499 - logits_profile_predictions_loss: 717.4591 - logcount_predictions_loss: 5.7725 31/2487 [..............................] - ETA: 5:43 - loss: 835.6889 - logits_profile_predictions_loss: 717.5799 - logcount_predictions_loss: 5.7057 32/2487 [..............................] - ETA: 5:43 - loss: 834.3592 - logits_profile_predictions_loss: 717.5803 - logcount_predictions_loss: 5.6415 33/2487 [..............................] - ETA: 5:43 - loss: 832.9680 - logits_profile_predictions_loss: 717.4676 - logcount_predictions_loss: 5.5797 34/2487 [..............................] - ETA: 5:43 - loss: 831.5980 - logits_profile_predictions_loss: 717.3208 - logcount_predictions_loss: 5.5206 35/2487 [..............................] - ETA: 5:43 - loss: 830.3299 - logits_profile_predictions_loss: 717.2210 - logcount_predictions_loss: 5.4642 36/2487 [..............................] - ETA: 5:42 - loss: 829.0809 - logits_profile_predictions_loss: 717.0951 - logcount_predictions_loss: 5.4099 37/2487 [..............................] - ETA: 5:42 - loss: 827.8566 - logits_profile_predictions_loss: 716.9478 - logcount_predictions_loss: 5.3579 38/2487 [..............................] - ETA: 5:42 - loss: 826.7265 - logits_profile_predictions_loss: 716.8457 - logcount_predictions_loss: 5.3082 39/2487 [..............................] - ETA: 5:42 - loss: 825.6393 - logits_profile_predictions_loss: 716.7472 - logcount_predictions_loss: 5.2605 40/2487 [..............................] - ETA: 5:42 - loss: 824.6122 - logits_profile_predictions_loss: 716.6683 - logcount_predictions_loss: 5.2147 41/2487 [..............................] - ETA: 5:42 - loss: 823.6068 - logits_profile_predictions_loss: 716.5737 - logcount_predictions_loss: 5.1707 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logits_profile_predictions_loss: 621.8068 - logcount_predictions_loss: 0.4095 117/2487 [>.............................] - ETA: 5:29 - loss: 630.2887 - logits_profile_predictions_loss: 621.8102 - logcount_predictions_loss: 0.4096 118/2487 [>.............................] - ETA: 5:29 - loss: 630.2938 - logits_profile_predictions_loss: 621.8137 - logcount_predictions_loss: 0.4097 119/2487 [>.............................] - ETA: 5:29 - loss: 630.3013 - logits_profile_predictions_loss: 621.8201 - logcount_predictions_loss: 0.4097 120/2487 [>.............................] - ETA: 5:29 - loss: 630.3098 - logits_profile_predictions_loss: 621.8273 - logcount_predictions_loss: 0.4098 121/2487 [>.............................] - ETA: 5:29 - loss: 630.3291 - logits_profile_predictions_loss: 621.8455 - logcount_predictions_loss: 0.4098 122/2487 [>.............................] - ETA: 5:29 - loss: 630.3447 - logits_profile_predictions_loss: 621.8597 - logcount_predictions_loss: 0.4099 123/2487 [>.............................] - ETA: 5:29 - loss: 630.3576 - logits_profile_predictions_loss: 621.8713 - logcount_predictions_loss: 0.4100 124/2487 [>.............................] - ETA: 5:28 - loss: 630.3731 - logits_profile_predictions_loss: 621.8856 - logcount_predictions_loss: 0.4100 125/2487 [>.............................] - ETA: 5:28 - loss: 630.3855 - logits_profile_predictions_loss: 621.8968 - logcount_predictions_loss: 0.4101 126/2487 [>.............................] - ETA: 5:28 - loss: 630.3948 - logits_profile_predictions_loss: 621.9052 - logcount_predictions_loss: 0.4101 127/2487 [>.............................] - ETA: 5:28 - loss: 630.4144 - logits_profile_predictions_loss: 621.9237 - logcount_predictions_loss: 0.4102 128/2487 [>.............................] - ETA: 5:28 - loss: 630.4305 - logits_profile_predictions_loss: 621.9387 - logcount_predictions_loss: 0.4102 129/2487 [>.............................] - ETA: 5:28 - loss: 630.4423 - logits_profile_predictions_loss: 621.9494 - logcount_predictions_loss: 0.4103 130/2487 [>.............................] - ETA: 5:28 - loss: 630.4521 - logits_profile_predictions_loss: 621.9581 - logcount_predictions_loss: 0.4103 131/2487 [>.............................] - ETA: 5:27 - loss: 630.4581 - logits_profile_predictions_loss: 621.9630 - logcount_predictions_loss: 0.4104 132/2487 [>.............................] - ETA: 5:27 - loss: 630.4663 - logits_profile_predictions_loss: 621.9703 - logcount_predictions_loss: 0.4104 133/2487 [>.............................] - ETA: 5:27 - loss: 630.4756 - logits_profile_predictions_loss: 621.9786 - logcount_predictions_loss: 0.4105 134/2487 [>.............................] - ETA: 5:27 - loss: 630.4876 - logits_profile_predictions_loss: 621.9895 - logcount_predictions_loss: 0.4105 135/2487 [>.............................] - ETA: 5:27 - loss: 630.5010 - logits_profile_predictions_loss: 622.0019 - logcount_predictions_loss: 0.4106 136/2487 [>.............................] - ETA: 5:27 - loss: 630.5136 - logits_profile_predictions_loss: 622.0134 - logcount_predictions_loss: 0.4106 137/2487 [>.............................] - ETA: 5:27 - loss: 630.5295 - logits_profile_predictions_loss: 622.0283 - logcount_predictions_loss: 0.4107 138/2487 [>.............................] - ETA: 5:26 - loss: 630.5429 - logits_profile_predictions_loss: 622.0408 - logcount_predictions_loss: 0.4107 139/2487 [>.............................] - ETA: 5:26 - loss: 630.5576 - logits_profile_predictions_loss: 622.0547 - logcount_predictions_loss: 0.4108 140/2487 [>.............................] - ETA: 5:26 - loss: 630.5702 - logits_profile_predictions_loss: 622.0664 - logcount_predictions_loss: 0.4108 141/2487 [>.............................] - ETA: 5:26 - loss: 630.5835 - logits_profile_predictions_loss: 622.0788 - logcount_predictions_loss: 0.4109 142/2487 [>.............................] - ETA: 5:26 - loss: 630.5974 - logits_profile_predictions_loss: 622.0917 - logcount_predictions_loss: 0.4109 143/2487 [>.............................] - ETA: 5:26 - loss: 630.6117 - logits_profile_predictions_loss: 622.1050 - logcount_predictions_loss: 0.4109 144/2487 [>.............................] - ETA: 5:26 - loss: 630.6258 - logits_profile_predictions_loss: 622.1182 - logcount_predictions_loss: 0.4110 145/2487 [>.............................] - ETA: 5:25 - loss: 630.6388 - logits_profile_predictions_loss: 622.1304 - logcount_predictions_loss: 0.4110 146/2487 [>.............................] - ETA: 5:25 - loss: 630.6491 - logits_profile_predictions_loss: 622.1398 - logcount_predictions_loss: 0.4111 147/2487 [>.............................] - ETA: 5:25 - loss: 630.6580 - logits_profile_predictions_loss: 622.1479 - logcount_predictions_loss: 0.4111 148/2487 [>.............................] - ETA: 5:25 - loss: 630.6658 - logits_profile_predictions_loss: 622.1548 - logcount_predictions_loss: 0.4112 149/2487 [>.............................] - ETA: 5:25 - loss: 630.6711 - logits_profile_predictions_loss: 622.1593 - logcount_predictions_loss: 0.4112 150/2487 [>.............................] - ETA: 5:25 - loss: 630.6747 - logits_profile_predictions_loss: 622.1622 - logcount_predictions_loss: 0.4112 151/2487 [>.............................] - ETA: 5:25 - loss: 630.6766 - logits_profile_predictions_loss: 622.1634 - logcount_predictions_loss: 0.4113 152/2487 [>.............................] - ETA: 5:25 - loss: 630.6786 - logits_profile_predictions_loss: 622.1646 - logcount_predictions_loss: 0.4113 153/2487 [>.............................] - ETA: 5:24 - loss: 630.6776 - logits_profile_predictions_loss: 622.1629 - logcount_predictions_loss: 0.4113 154/2487 [>.............................] - ETA: 5:24 - loss: 630.6771 - logits_profile_predictions_loss: 622.1616 - logcount_predictions_loss: 0.4114 155/2487 [>.............................] - ETA: 5:24 - loss: 630.6751 - logits_profile_predictions_loss: 622.1587 - logcount_predictions_loss: 0.4114 156/2487 [>.............................] - ETA: 5:24 - loss: 630.6732 - logits_profile_predictions_loss: 622.1561 - logcount_predictions_loss: 0.4115 157/2487 [>.............................] - ETA: 5:24 - loss: 630.6702 - logits_profile_predictions_loss: 622.1524 - logcount_predictions_loss: 0.4115 158/2487 [>.............................] - ETA: 5:24 - loss: 630.6698 - logits_profile_predictions_loss: 622.1513 - logcount_predictions_loss: 0.4115 159/2487 [>.............................] - ETA: 5:24 - loss: 630.6703 - logits_profile_predictions_loss: 622.1511 - logcount_predictions_loss: 0.4116 160/2487 [>.............................] - ETA: 5:23 - loss: 630.6696 - logits_profile_predictions_loss: 622.1498 - logcount_predictions_loss: 0.4116 161/2487 [>.............................] - ETA: 5:23 - loss: 630.6661 - logits_profile_predictions_loss: 622.1458 - logcount_predictions_loss: 0.4116 162/2487 [>.............................] - ETA: 5:23 - loss: 630.6630 - logits_profile_predictions_loss: 622.1420 - logcount_predictions_loss: 0.4116 163/2487 [>.............................] - ETA: 5:23 - loss: 630.6556 - logits_profile_predictions_loss: 622.1340 - logcount_predictions_loss: 0.4117 164/2487 [>.............................] - ETA: 5:23 - loss: 630.6482 - logits_profile_predictions_loss: 622.1260 - logcount_predictions_loss: 0.4117 165/2487 [>.............................] - ETA: 5:23 - loss: 630.6392 - logits_profile_predictions_loss: 622.1164 - logcount_predictions_loss: 0.4117 166/2487 [=>............................] - ETA: 5:23 - loss: 630.6295 - logits_profile_predictions_loss: 622.1061 - logcount_predictions_loss: 0.4118 167/2487 [=>............................] - ETA: 5:22 - loss: 630.6195 - logits_profile_predictions_loss: 622.0956 - logcount_predictions_loss: 0.4118 168/2487 [=>............................] - ETA: 5:22 - loss: 630.6110 - logits_profile_predictions_loss: 622.0866 - logcount_predictions_loss: 0.4118 169/2487 [=>............................] - ETA: 5:22 - loss: 630.6027 - logits_profile_predictions_loss: 622.0780 - logcount_predictions_loss: 0.4118 170/2487 [=>............................] - ETA: 5:22 - loss: 630.5927 - logits_profile_predictions_loss: 622.0677 - logcount_predictions_loss: 0.4118 171/2487 [=>............................] - ETA: 5:22 - loss: 630.5836 - logits_profile_predictions_loss: 622.0584 - logcount_predictions_loss: 0.4118 172/2487 [=>............................] - ETA: 5:22 - loss: 630.5725 - logits_profile_predictions_loss: 622.0470 - logcount_predictions_loss: 0.4119 173/2487 [=>............................] - ETA: 5:22 - loss: 630.5652 - logits_profile_predictions_loss: 622.0393 - logcount_predictions_loss: 0.4119 174/2487 [=>............................] - ETA: 5:22 - loss: 630.5621 - logits_profile_predictions_loss: 622.0358 - logcount_predictions_loss: 0.4119 175/2487 [=>............................] - ETA: 5:22 - loss: 630.5575 - logits_profile_predictions_loss: 622.0309 - logcount_predictions_loss: 0.4119 176/2487 [=>............................] - ETA: 5:22 - loss: 630.5502 - logits_profile_predictions_loss: 622.0231 - logcount_predictions_loss: 0.4119 177/2487 [=>............................] - ETA: 5:22 - loss: 630.5412 - logits_profile_predictions_loss: 622.0137 - logcount_predictions_loss: 0.4120 178/2487 [=>............................] - ETA: 5:22 - loss: 630.5300 - logits_profile_predictions_loss: 622.0022 - logcount_predictions_loss: 0.4120 179/2487 [=>............................] - ETA: 5:21 - loss: 630.5185 - logits_profile_predictions_loss: 621.9902 - logcount_predictions_loss: 0.4120 180/2487 [=>............................] - ETA: 5:21 - loss: 630.5086 - logits_profile_predictions_loss: 621.9798 - logcount_predictions_loss: 0.4120 181/2487 [=>............................] - ETA: 5:21 - loss: 630.4999 - logits_profile_predictions_loss: 621.9706 - logcount_predictions_loss: 0.4120 182/2487 [=>............................] - ETA: 5:21 - loss: 630.4896 - logits_profile_predictions_loss: 621.9597 - logcount_predictions_loss: 0.4121 183/2487 [=>............................] - ETA: 5:21 - loss: 630.4804 - logits_profile_predictions_loss: 621.9499 - logcount_predictions_loss: 0.4121 184/2487 [=>............................] - ETA: 5:21 - loss: 630.4713 - logits_profile_predictions_loss: 621.9403 - logcount_predictions_loss: 0.4121 185/2487 [=>............................] - ETA: 5:21 - loss: 630.4624 - logits_profile_predictions_loss: 621.9309 - logcount_predictions_loss: 0.4122 186/2487 [=>............................] - ETA: 5:21 - loss: 630.4546 - logits_profile_predictions_loss: 621.9225 - logcount_predictions_loss: 0.4122 187/2487 [=>............................] - ETA: 5:20 - loss: 630.4466 - logits_profile_predictions_loss: 621.9140 - logcount_predictions_loss: 0.4122 188/2487 [=>............................] - ETA: 5:20 - loss: 630.4400 - logits_profile_predictions_loss: 621.9069 - logcount_predictions_loss: 0.4122 189/2487 [=>............................] - ETA: 5:20 - loss: 630.4342 - logits_profile_predictions_loss: 621.9007 - logcount_predictions_loss: 0.4122 190/2487 [=>............................] - ETA: 5:20 - loss: 630.4272 - logits_profile_predictions_loss: 621.8931 - logcount_predictions_loss: 0.4123 191/2487 [=>............................] - ETA: 5:20 - loss: 630.4192 - logits_profile_predictions_loss: 621.8846 - logcount_predictions_loss: 0.4123 192/2487 [=>............................] - ETA: 5:20 - loss: 630.4122 - logits_profile_predictions_loss: 621.8772 - logcount_predictions_loss: 0.4123 193/2487 [=>............................] - ETA: 5:20 - loss: 630.4047 - logits_profile_predictions_loss: 621.8693 - logcount_predictions_loss: 0.4123 194/2487 [=>............................] - ETA: 5:19 - loss: 630.3954 - logits_profile_predictions_loss: 621.8597 - logcount_predictions_loss: 0.4124 195/2487 [=>............................] - ETA: 5:19 - loss: 630.3857 - logits_profile_predictions_loss: 621.8496 - logcount_predictions_loss: 0.4124 196/2487 [=>............................] - ETA: 5:19 - loss: 630.3744 - logits_profile_predictions_loss: 621.8379 - logcount_predictions_loss: 0.4124 197/2487 [=>............................] - ETA: 5:19 - loss: 630.3647 - logits_profile_predictions_loss: 621.8279 - logcount_predictions_loss: 0.4124 198/2487 [=>............................] - ETA: 5:19 - loss: 630.3525 - logits_profile_predictions_loss: 621.8155 - logcount_predictions_loss: 0.4124 199/2487 [=>............................] - ETA: 5:19 - loss: 630.3393 - logits_profile_predictions_loss: 621.8021 - logcount_predictions_loss: 0.4124 200/2487 [=>............................] - ETA: 5:19 - loss: 630.3251 - logits_profile_predictions_loss: 621.7876 - logcount_predictions_loss: 0.4124 201/2487 [=>............................] - ETA: 5:18 - loss: 630.3137 - logits_profile_predictions_loss: 621.7760 - logcount_predictions_loss: 0.4124 202/2487 [=>............................] - ETA: 5:18 - loss: 630.3037 - logits_profile_predictions_loss: 621.7658 - logcount_predictions_loss: 0.4125 203/2487 [=>............................] - ETA: 5:18 - loss: 630.2950 - logits_profile_predictions_loss: 621.7569 - logcount_predictions_loss: 0.4125 204/2487 [=>............................] - ETA: 5:18 - loss: 630.2853 - logits_profile_predictions_loss: 621.7469 - logcount_predictions_loss: 0.4125 205/2487 [=>............................] - ETA: 5:18 - loss: 630.2740 - logits_profile_predictions_loss: 621.7354 - logcount_predictions_loss: 0.4125 206/2487 [=>............................] - ETA: 5:18 - loss: 630.2645 - logits_profile_predictions_loss: 621.7256 - logcount_predictions_loss: 0.4125 207/2487 [=>............................] - ETA: 5:17 - loss: 630.2545 - logits_profile_predictions_loss: 621.7154 - logcount_predictions_loss: 0.4125 208/2487 [=>............................] - ETA: 5:17 - loss: 630.2441 - logits_profile_predictions_loss: 621.7047 - logcount_predictions_loss: 0.4125 209/2487 [=>............................] - ETA: 5:17 - loss: 630.2320 - logits_profile_predictions_loss: 621.6924 - logcount_predictions_loss: 0.4125 210/2487 [=>............................] - ETA: 5:17 - loss: 630.2202 - logits_profile_predictions_loss: 621.6803 - logcount_predictions_loss: 0.4126 211/2487 [=>............................] - ETA: 5:17 - loss: 630.2065 - logits_profile_predictions_loss: 621.6664 - logcount_predictions_loss: 0.4126 212/2487 [=>............................] - ETA: 5:17 - loss: 630.1937 - logits_profile_predictions_loss: 621.6532 - logcount_predictions_loss: 0.4126 213/2487 [=>............................] - ETA: 5:17 - loss: 630.1804 - logits_profile_predictions_loss: 621.6396 - logcount_predictions_loss: 0.4126 214/2487 [=>............................] - ETA: 5:16 - loss: 630.1679 - logits_profile_predictions_loss: 621.6268 - logcount_predictions_loss: 0.4126 215/2487 [=>............................] - ETA: 5:16 - loss: 630.1571 - logits_profile_predictions_loss: 621.6156 - logcount_predictions_loss: 0.4126 216/2487 [=>............................] - ETA: 5:16 - loss: 630.1460 - logits_profile_predictions_loss: 621.6041 - logcount_predictions_loss: 0.4127 217/2487 [=>............................] - ETA: 5:16 - loss: 630.1360 - logits_profile_predictions_loss: 621.5937 - logcount_predictions_loss: 0.4127 218/2487 [=>............................] - ETA: 5:16 - loss: 630.1259 - logits_profile_predictions_loss: 621.5832 - logcount_predictions_loss: 0.4127 219/2487 [=>............................] - ETA: 5:16 - loss: 630.1158 - logits_profile_predictions_loss: 621.5728 - logcount_predictions_loss: 0.4127 220/2487 [=>............................] - ETA: 5:16 - loss: 630.1039 - logits_profile_predictions_loss: 621.5605 - logcount_predictions_loss: 0.4127 221/2487 [=>............................] - ETA: 5:15 - loss: 630.0914 - logits_profile_predictions_loss: 621.5476 - logcount_predictions_loss: 0.4127 222/2487 [=>............................] - ETA: 5:15 - loss: 630.0780 - logits_profile_predictions_loss: 621.5339 - logcount_predictions_loss: 0.4128 223/2487 [=>............................] - ETA: 5:15 - loss: 630.0649 - logits_profile_predictions_loss: 621.5204 - logcount_predictions_loss: 0.4128 224/2487 [=>............................] - ETA: 5:15 - loss: 630.0513 - logits_profile_predictions_loss: 621.5064 - logcount_predictions_loss: 0.4128 225/2487 [=>............................] - ETA: 5:15 - loss: 630.0368 - logits_profile_predictions_loss: 621.4915 - logcount_predictions_loss: 0.4128 226/2487 [=>............................] - ETA: 5:15 - loss: 630.0217 - logits_profile_predictions_loss: 621.4759 - logcount_predictions_loss: 0.4128 227/2487 [=>............................] - ETA: 5:15 - loss: 630.0067 - logits_profile_predictions_loss: 621.4606 - logcount_predictions_loss: 0.4129 228/2487 [=>............................] - ETA: 5:14 - loss: 629.9914 - logits_profile_predictions_loss: 621.4449 - logcount_predictions_loss: 0.4129 229/2487 [=>............................] - ETA: 5:14 - loss: 629.9760 - logits_profile_predictions_loss: 621.4291 - logcount_predictions_loss: 0.4129 230/2487 [=>............................] - ETA: 5:14 - loss: 629.9606 - logits_profile_predictions_loss: 621.4133 - logcount_predictions_loss: 0.4129 231/2487 [=>............................] - ETA: 5:14 - loss: 629.9451 - logits_profile_predictions_loss: 621.3972 - logcount_predictions_loss: 0.4129 232/2487 [=>............................] - ETA: 5:14 - loss: 629.9296 - logits_profile_predictions_loss: 621.3812 - logcount_predictions_loss: 0.4130 233/2487 [=>............................] - ETA: 5:14 - loss: 629.9134 - 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loss: 600.4362 - logits_profile_predictions_loss: 593.3559 - logcount_predictions_loss: 0.3420 57/2487 [..............................] - ETA: 5:38 - loss: 600.3946 - logits_profile_predictions_loss: 593.3129 - logcount_predictions_loss: 0.3421 58/2487 [..............................] - ETA: 5:38 - loss: 600.3454 - logits_profile_predictions_loss: 593.2620 - logcount_predictions_loss: 0.3422 59/2487 [..............................] - ETA: 5:38 - loss: 600.2865 - logits_profile_predictions_loss: 593.2016 - logcount_predictions_loss: 0.3423 60/2487 [..............................] - ETA: 5:37 - loss: 600.2221 - logits_profile_predictions_loss: 593.1360 - logcount_predictions_loss: 0.3423 61/2487 [..............................] - ETA: 5:37 - loss: 600.1583 - logits_profile_predictions_loss: 593.0710 - logcount_predictions_loss: 0.3424 62/2487 [..............................] - ETA: 5:37 - loss: 600.0915 - logits_profile_predictions_loss: 593.0037 - logcount_predictions_loss: 0.3424 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logits_profile_predictions_loss: 592.6350 - logcount_predictions_loss: 0.3429 70/2487 [..............................] - ETA: 5:36 - loss: 599.6924 - logits_profile_predictions_loss: 592.5925 - logcount_predictions_loss: 0.3430 71/2487 [..............................] - ETA: 5:36 - loss: 599.6511 - logits_profile_predictions_loss: 592.5494 - logcount_predictions_loss: 0.3431 72/2487 [..............................] - ETA: 5:36 - loss: 599.6116 - logits_profile_predictions_loss: 592.5084 - logcount_predictions_loss: 0.3432 73/2487 [..............................] - ETA: 5:36 - loss: 599.5914 - logits_profile_predictions_loss: 592.4871 - logcount_predictions_loss: 0.3432 74/2487 [..............................] - ETA: 5:36 - loss: 599.5682 - logits_profile_predictions_loss: 592.4629 - logcount_predictions_loss: 0.3433 75/2487 [..............................] - ETA: 5:35 - loss: 599.5500 - logits_profile_predictions_loss: 592.4437 - logcount_predictions_loss: 0.3433 76/2487 [..............................] - ETA: 5:35 - loss: 599.5253 - logits_profile_predictions_loss: 592.4182 - logcount_predictions_loss: 0.3433 77/2487 [..............................] - ETA: 5:35 - loss: 599.5123 - logits_profile_predictions_loss: 592.4046 - logcount_predictions_loss: 0.3434 78/2487 [..............................] - ETA: 5:35 - loss: 599.5121 - logits_profile_predictions_loss: 592.4034 - logcount_predictions_loss: 0.3434 79/2487 [..............................] - ETA: 5:35 - loss: 599.5275 - logits_profile_predictions_loss: 592.4178 - logcount_predictions_loss: 0.3435 80/2487 [..............................] - ETA: 5:35 - loss: 599.5398 - logits_profile_predictions_loss: 592.4288 - logcount_predictions_loss: 0.3435 81/2487 [..............................] - ETA: 5:35 - loss: 599.5701 - logits_profile_predictions_loss: 592.4578 - logcount_predictions_loss: 0.3436 82/2487 [..............................] - ETA: 5:34 - loss: 599.5956 - logits_profile_predictions_loss: 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loss: 599.6900 - logits_profile_predictions_loss: 592.5696 - logcount_predictions_loss: 0.3440 90/2487 [>.............................] - ETA: 5:33 - loss: 599.7146 - logits_profile_predictions_loss: 592.5934 - logcount_predictions_loss: 0.3440 91/2487 [>.............................] - ETA: 5:33 - loss: 599.7445 - logits_profile_predictions_loss: 592.6226 - logcount_predictions_loss: 0.3441 92/2487 [>.............................] - ETA: 5:33 - loss: 599.7813 - logits_profile_predictions_loss: 592.6581 - logcount_predictions_loss: 0.3441 93/2487 [>.............................] - ETA: 5:33 - loss: 599.8168 - logits_profile_predictions_loss: 592.6924 - logcount_predictions_loss: 0.3442 94/2487 [>.............................] - ETA: 5:33 - loss: 599.8541 - logits_profile_predictions_loss: 592.7284 - logcount_predictions_loss: 0.3442 95/2487 [>.............................] - ETA: 5:32 - loss: 599.8901 - logits_profile_predictions_loss: 592.7632 - logcount_predictions_loss: 0.3443 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val_logits_profile_predictions_loss: 592.1005 - val_logcount_predictions_loss: 0.3099 + +Epoch 00004: val_loss improved from 604.23456 to 598.51538, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/chrombpnet.h5 +Epoch 5/50 + 1/2487 [..............................] - ETA: 6:27 - loss: 544.2289 - logits_profile_predictions_loss: 537.8549 - logcount_predictions_loss: 0.3079 2/2487 [..............................] - ETA: 6:00 - loss: 568.9828 - logits_profile_predictions_loss: 562.0364 - logcount_predictions_loss: 0.3356 3/2487 [..............................] - ETA: 5:54 - loss: 576.5987 - logits_profile_predictions_loss: 569.5547 - logcount_predictions_loss: 0.3403 4/2487 [..............................] - ETA: 5:51 - loss: 574.3145 - logits_profile_predictions_loss: 567.2739 - logcount_predictions_loss: 0.3401 5/2487 [..............................] - ETA: 5:49 - loss: 570.9739 - 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[..............................] - ETA: 5:45 - loss: 578.5394 - logits_profile_predictions_loss: 571.4421 - logcount_predictions_loss: 0.3429 13/2487 [..............................] - ETA: 5:45 - loss: 579.3221 - logits_profile_predictions_loss: 572.2226 - logcount_predictions_loss: 0.3430 14/2487 [..............................] - ETA: 5:45 - loss: 579.7707 - logits_profile_predictions_loss: 572.6839 - logcount_predictions_loss: 0.3424 15/2487 [..............................] - ETA: 5:45 - loss: 580.3853 - logits_profile_predictions_loss: 573.3137 - logcount_predictions_loss: 0.3416 16/2487 [..............................] - ETA: 5:44 - loss: 580.8752 - logits_profile_predictions_loss: 573.8216 - logcount_predictions_loss: 0.3408 17/2487 [..............................] - ETA: 5:44 - loss: 581.1443 - logits_profile_predictions_loss: 574.1090 - logcount_predictions_loss: 0.3399 18/2487 [..............................] - ETA: 5:44 - loss: 581.5082 - logits_profile_predictions_loss: 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[..............................] - ETA: 5:35 - loss: 592.0222 - logits_profile_predictions_loss: 585.3167 - logcount_predictions_loss: 0.3239 79/2487 [..............................] - ETA: 5:35 - loss: 592.0357 - logits_profile_predictions_loss: 585.3322 - logcount_predictions_loss: 0.3238 80/2487 [..............................] - ETA: 5:35 - loss: 592.0393 - logits_profile_predictions_loss: 585.3379 - logcount_predictions_loss: 0.3237 81/2487 [..............................] - ETA: 5:35 - loss: 592.0462 - logits_profile_predictions_loss: 585.3454 - logcount_predictions_loss: 0.3237 82/2487 [..............................] - ETA: 5:35 - loss: 592.0627 - logits_profile_predictions_loss: 585.3626 - logcount_predictions_loss: 0.3237 83/2487 [>.............................] - ETA: 5:34 - loss: 592.0859 - logits_profile_predictions_loss: 585.3867 - logcount_predictions_loss: 0.3236 84/2487 [>.............................] - ETA: 5:34 - loss: 592.1209 - logits_profile_predictions_loss: 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[..............................] - ETA: 6:04 - loss: 590.5215 - logits_profile_predictions_loss: 583.3001 - logcount_predictions_loss: 0.3489 3/2487 [..............................] - ETA: 5:54 - loss: 589.9193 - logits_profile_predictions_loss: 582.8766 - logcount_predictions_loss: 0.3402 4/2487 [..............................] - ETA: 5:51 - loss: 591.2223 - logits_profile_predictions_loss: 584.4276 - logcount_predictions_loss: 0.3282 5/2487 [..............................] - ETA: 5:49 - loss: 594.1130 - logits_profile_predictions_loss: 587.4642 - logcount_predictions_loss: 0.3212 6/2487 [..............................] - ETA: 5:49 - loss: 597.2094 - logits_profile_predictions_loss: 590.5838 - logcount_predictions_loss: 0.3201 7/2487 [..............................] - ETA: 5:48 - loss: 599.2219 - logits_profile_predictions_loss: 592.6034 - logcount_predictions_loss: 0.3197 8/2487 [..............................] - ETA: 5:47 - loss: 599.0643 - logits_profile_predictions_loss: 592.4548 - logcount_predictions_loss: 0.3193 9/2487 [..............................] - ETA: 5:47 - loss: 600.0282 - logits_profile_predictions_loss: 593.4046 - logcount_predictions_loss: 0.3200 10/2487 [..............................] - ETA: 5:46 - loss: 600.8696 - logits_profile_predictions_loss: 594.2317 - logcount_predictions_loss: 0.3207 11/2487 [..............................] - ETA: 5:46 - loss: 601.9966 - logits_profile_predictions_loss: 595.3543 - logcount_predictions_loss: 0.3209 12/2487 [..............................] - ETA: 5:45 - loss: 602.8749 - logits_profile_predictions_loss: 596.2279 - logcount_predictions_loss: 0.3211 13/2487 [..............................] - ETA: 5:45 - loss: 603.6076 - logits_profile_predictions_loss: 596.9631 - logcount_predictions_loss: 0.3210 14/2487 [..............................] - ETA: 5:45 - loss: 604.4459 - logits_profile_predictions_loss: 597.8083 - logcount_predictions_loss: 0.3207 15/2487 [..............................] - ETA: 5:45 - loss: 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[..............................] - ETA: 5:43 - loss: 606.4208 - logits_profile_predictions_loss: 599.7745 - logcount_predictions_loss: 0.3211 23/2487 [..............................] - ETA: 5:43 - loss: 606.4774 - logits_profile_predictions_loss: 599.8275 - logcount_predictions_loss: 0.3213 24/2487 [..............................] - ETA: 5:43 - loss: 606.4716 - logits_profile_predictions_loss: 599.8153 - logcount_predictions_loss: 0.3216 25/2487 [..............................] - ETA: 5:43 - loss: 606.4136 - logits_profile_predictions_loss: 599.7538 - logcount_predictions_loss: 0.3217 26/2487 [..............................] - ETA: 5:42 - loss: 606.3253 - logits_profile_predictions_loss: 599.6603 - logcount_predictions_loss: 0.3220 27/2487 [..............................] - ETA: 5:42 - loss: 606.2970 - logits_profile_predictions_loss: 599.6262 - logcount_predictions_loss: 0.3223 28/2487 [..............................] - ETA: 5:42 - loss: 606.2817 - logits_profile_predictions_loss: 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[..............................] - ETA: 5:38 - loss: 605.2364 - logits_profile_predictions_loss: 598.5317 - logcount_predictions_loss: 0.3239 56/2487 [..............................] - ETA: 5:38 - loss: 605.1909 - logits_profile_predictions_loss: 598.4889 - logcount_predictions_loss: 0.3238 57/2487 [..............................] - ETA: 5:38 - loss: 605.1336 - logits_profile_predictions_loss: 598.4328 - logcount_predictions_loss: 0.3237 58/2487 [..............................] - ETA: 5:37 - loss: 605.0868 - logits_profile_predictions_loss: 598.3871 - logcount_predictions_loss: 0.3237 59/2487 [..............................] - ETA: 5:37 - loss: 605.0203 - logits_profile_predictions_loss: 598.3223 - logcount_predictions_loss: 0.3236 60/2487 [..............................] - ETA: 5:37 - loss: 604.9470 - logits_profile_predictions_loss: 598.2507 - logcount_predictions_loss: 0.3235 61/2487 [..............................] - ETA: 5:37 - loss: 604.8788 - logits_profile_predictions_loss: 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[==============================] - 363s 146ms/step - loss: 599.7283 - logits_profile_predictions_loss: 593.2764 - logcount_predictions_loss: 0.3117 - val_loss: 597.8376 - val_logits_profile_predictions_loss: 591.7670 - val_logcount_predictions_loss: 0.2933 + +Epoch 00006: val_loss improved from 598.51538 to 597.83765, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/chrombpnet.h5 +Epoch 7/50 + 1/2487 [..............................] - ETA: 6:26 - loss: 572.3633 - logits_profile_predictions_loss: 560.8478 - logcount_predictions_loss: 0.5563 2/2487 [..............................] - ETA: 5:51 - loss: 571.7721 - logits_profile_predictions_loss: 561.2529 - logcount_predictions_loss: 0.5082 3/2487 [..............................] - ETA: 5:48 - loss: 570.5611 - logits_profile_predictions_loss: 560.4815 - logcount_predictions_loss: 0.4869 4/2487 [..............................] - ETA: 5:47 - loss: 571.7535 - 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[..............................] - ETA: 5:45 - loss: 587.8384 - logits_profile_predictions_loss: 579.9564 - logcount_predictions_loss: 0.3808 12/2487 [..............................] - ETA: 5:45 - loss: 589.9046 - logits_profile_predictions_loss: 582.1428 - logcount_predictions_loss: 0.3750 13/2487 [..............................] - ETA: 5:44 - loss: 591.6042 - logits_profile_predictions_loss: 583.9484 - logcount_predictions_loss: 0.3698 14/2487 [..............................] - ETA: 5:44 - loss: 593.0250 - logits_profile_predictions_loss: 585.4639 - logcount_predictions_loss: 0.3653 15/2487 [..............................] - ETA: 5:44 - loss: 593.5977 - logits_profile_predictions_loss: 586.1181 - logcount_predictions_loss: 0.3613 16/2487 [..............................] - ETA: 5:44 - loss: 593.8851 - logits_profile_predictions_loss: 586.4734 - logcount_predictions_loss: 0.3581 17/2487 [..............................] - ETA: 5:44 - loss: 594.1634 - logits_profile_predictions_loss: 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31/2487 [..............................] - ETA: 5:41 - loss: 594.7724 - logits_profile_predictions_loss: 587.8712 - logcount_predictions_loss: 0.3334 32/2487 [..............................] - ETA: 5:41 - loss: 594.7747 - logits_profile_predictions_loss: 587.8927 - logcount_predictions_loss: 0.3325 33/2487 [..............................] - ETA: 5:41 - loss: 594.8708 - logits_profile_predictions_loss: 588.0073 - logcount_predictions_loss: 0.3316 34/2487 [..............................] - ETA: 5:41 - loss: 594.9825 - logits_profile_predictions_loss: 588.1369 - logcount_predictions_loss: 0.3307 35/2487 [..............................] - ETA: 5:41 - loss: 595.0859 - logits_profile_predictions_loss: 588.2548 - logcount_predictions_loss: 0.3300 36/2487 [..............................] - ETA: 5:41 - loss: 595.1312 - logits_profile_predictions_loss: 588.3119 - logcount_predictions_loss: 0.3294 37/2487 [..............................] - ETA: 5:40 - loss: 595.1743 - 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[..............................] - ETA: 5:39 - loss: 595.5432 - logits_profile_predictions_loss: 588.8125 - logcount_predictions_loss: 0.3252 45/2487 [..............................] - ETA: 5:39 - loss: 595.5867 - logits_profile_predictions_loss: 588.8630 - logcount_predictions_loss: 0.3248 46/2487 [..............................] - ETA: 5:39 - loss: 595.6155 - logits_profile_predictions_loss: 588.8990 - logcount_predictions_loss: 0.3245 47/2487 [..............................] - ETA: 5:39 - loss: 595.6478 - logits_profile_predictions_loss: 588.9386 - logcount_predictions_loss: 0.3241 48/2487 [..............................] - ETA: 5:39 - loss: 595.6665 - logits_profile_predictions_loss: 588.9645 - logcount_predictions_loss: 0.3238 49/2487 [..............................] - ETA: 5:39 - loss: 595.6488 - logits_profile_predictions_loss: 588.9546 - logcount_predictions_loss: 0.3234 50/2487 [..............................] - ETA: 5:38 - loss: 595.6559 - logits_profile_predictions_loss: 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[============================>.] - ETA: 1s - loss: 597.0495 - logits_profile_predictions_loss: 590.8126 - logcount_predictions_loss: 0.3013 2478/2487 [============================>.] - ETA: 1s - loss: 597.0497 - logits_profile_predictions_loss: 590.8127 - logcount_predictions_loss: 0.3013 2479/2487 [============================>.] - ETA: 1s - loss: 597.0498 - logits_profile_predictions_loss: 590.8129 - logcount_predictions_loss: 0.3013 2480/2487 [============================>.] - ETA: 0s - loss: 597.0499 - logits_profile_predictions_loss: 590.8130 - logcount_predictions_loss: 0.3013 2481/2487 [============================>.] - ETA: 0s - loss: 597.0501 - logits_profile_predictions_loss: 590.8132 - logcount_predictions_loss: 0.3013 2482/2487 [============================>.] - ETA: 0s - loss: 597.0502 - logits_profile_predictions_loss: 590.8133 - logcount_predictions_loss: 0.3013 2483/2487 [============================>.] - ETA: 0s - loss: 597.0504 - logits_profile_predictions_loss: 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[..............................] - ETA: 6:24 - loss: 621.6036 - logits_profile_predictions_loss: 616.4825 - logcount_predictions_loss: 0.2474 2/2487 [..............................] - ETA: 5:46 - loss: 601.5580 - logits_profile_predictions_loss: 596.5067 - logcount_predictions_loss: 0.2440 3/2487 [..............................] - ETA: 5:46 - loss: 594.9269 - logits_profile_predictions_loss: 589.7138 - logcount_predictions_loss: 0.2518 4/2487 [..............................] - ETA: 5:46 - loss: 593.2928 - logits_profile_predictions_loss: 588.0056 - logcount_predictions_loss: 0.2554 5/2487 [..............................] - ETA: 5:46 - loss: 597.8538 - logits_profile_predictions_loss: 592.5105 - logcount_predictions_loss: 0.2581 6/2487 [..............................] - ETA: 5:46 - loss: 600.7768 - logits_profile_predictions_loss: 595.3868 - logcount_predictions_loss: 0.2604 7/2487 [..............................] - ETA: 5:45 - loss: 602.9546 - logits_profile_predictions_loss: 597.5222 - logcount_predictions_loss: 0.2624 8/2487 [..............................] - ETA: 5:45 - loss: 604.1112 - logits_profile_predictions_loss: 598.6399 - logcount_predictions_loss: 0.2643 9/2487 [..............................] - ETA: 5:45 - loss: 605.2830 - logits_profile_predictions_loss: 599.7489 - logcount_predictions_loss: 0.2673 10/2487 [..............................] - ETA: 5:45 - loss: 605.5775 - logits_profile_predictions_loss: 600.0072 - logcount_predictions_loss: 0.2691 11/2487 [..............................] - ETA: 5:45 - loss: 605.3220 - logits_profile_predictions_loss: 599.7310 - logcount_predictions_loss: 0.2701 12/2487 [..............................] - ETA: 5:45 - loss: 605.2922 - logits_profile_predictions_loss: 599.6823 - logcount_predictions_loss: 0.2710 13/2487 [..............................] - ETA: 5:45 - loss: 604.7204 - logits_profile_predictions_loss: 599.0938 - logcount_predictions_loss: 0.2718 14/2487 [..............................] - ETA: 5:44 - loss: 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[..............................] - ETA: 5:43 - loss: 600.8904 - logits_profile_predictions_loss: 595.2428 - logcount_predictions_loss: 0.2728 22/2487 [..............................] - ETA: 5:43 - loss: 600.4472 - logits_profile_predictions_loss: 594.7952 - logcount_predictions_loss: 0.2730 23/2487 [..............................] - ETA: 5:43 - loss: 600.1426 - logits_profile_predictions_loss: 594.4873 - logcount_predictions_loss: 0.2732 24/2487 [..............................] - ETA: 5:43 - loss: 599.8396 - logits_profile_predictions_loss: 594.1827 - logcount_predictions_loss: 0.2733 25/2487 [..............................] - ETA: 5:43 - loss: 599.5819 - logits_profile_predictions_loss: 593.9233 - logcount_predictions_loss: 0.2734 26/2487 [..............................] - ETA: 5:42 - loss: 599.2573 - logits_profile_predictions_loss: 593.5996 - logcount_predictions_loss: 0.2733 27/2487 [..............................] - ETA: 5:42 - loss: 598.9018 - logits_profile_predictions_loss: 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loss: 596.7662 - logits_profile_predictions_loss: 591.0605 - logcount_predictions_loss: 0.2756 35/2487 [..............................] - ETA: 5:41 - loss: 596.5606 - logits_profile_predictions_loss: 590.8449 - logcount_predictions_loss: 0.2761 36/2487 [..............................] - ETA: 5:41 - loss: 596.3830 - logits_profile_predictions_loss: 590.6564 - logcount_predictions_loss: 0.2766 37/2487 [..............................] - ETA: 5:41 - loss: 596.1635 - logits_profile_predictions_loss: 590.4241 - logcount_predictions_loss: 0.2773 38/2487 [..............................] - ETA: 5:41 - loss: 595.9747 - logits_profile_predictions_loss: 590.2239 - logcount_predictions_loss: 0.2778 39/2487 [..............................] - ETA: 5:41 - loss: 595.8108 - logits_profile_predictions_loss: 590.0490 - logcount_predictions_loss: 0.2784 40/2487 [..............................] - ETA: 5:40 - loss: 595.6389 - logits_profile_predictions_loss: 589.8672 - logcount_predictions_loss: 0.2788 41/2487 [..............................] - ETA: 5:40 - loss: 595.4642 - logits_profile_predictions_loss: 589.6833 - logcount_predictions_loss: 0.2793 42/2487 [..............................] - ETA: 5:40 - loss: 595.3067 - logits_profile_predictions_loss: 589.5163 - logcount_predictions_loss: 0.2797 43/2487 [..............................] - ETA: 5:40 - loss: 595.1210 - logits_profile_predictions_loss: 589.3223 - logcount_predictions_loss: 0.2801 44/2487 [..............................] - ETA: 5:40 - loss: 594.9572 - logits_profile_predictions_loss: 589.1514 - logcount_predictions_loss: 0.2805 45/2487 [..............................] - ETA: 5:40 - loss: 594.7924 - logits_profile_predictions_loss: 588.9803 - logcount_predictions_loss: 0.2808 46/2487 [..............................] - ETA: 5:40 - loss: 594.6528 - logits_profile_predictions_loss: 588.8356 - logcount_predictions_loss: 0.2810 47/2487 [..............................] - ETA: 5:40 - loss: 594.5077 - logits_profile_predictions_loss: 588.6865 - logcount_predictions_loss: 0.2812 48/2487 [..............................] - ETA: 5:40 - loss: 594.3970 - logits_profile_predictions_loss: 588.5724 - logcount_predictions_loss: 0.2814 49/2487 [..............................] - ETA: 5:40 - loss: 594.2669 - logits_profile_predictions_loss: 588.4389 - logcount_predictions_loss: 0.2815 50/2487 [..............................] - ETA: 5:40 - loss: 594.1347 - logits_profile_predictions_loss: 588.3036 - logcount_predictions_loss: 0.2817 51/2487 [..............................] - ETA: 5:39 - loss: 593.9923 - logits_profile_predictions_loss: 588.1566 - logcount_predictions_loss: 0.2819 52/2487 [..............................] - ETA: 5:39 - loss: 593.8641 - logits_profile_predictions_loss: 588.0238 - logcount_predictions_loss: 0.2821 53/2487 [..............................] - ETA: 5:39 - loss: 593.7508 - logits_profile_predictions_loss: 587.9064 - logcount_predictions_loss: 0.2823 54/2487 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[==============================] - ETA: 0s - loss: 595.2994 - logits_profile_predictions_loss: 589.2381 - logcount_predictions_loss: 0.2928 2487/2487 [==============================] - 363s 146ms/step - loss: 595.2992 - logits_profile_predictions_loss: 589.2379 - logcount_predictions_loss: 0.2928 - val_loss: 594.3406 - val_logits_profile_predictions_loss: 588.3823 - val_logcount_predictions_loss: 0.2879 + +Epoch 00008: val_loss improved from 597.83765 to 594.34058, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4/chrombpnet.h5 +Epoch 9/50 + 1/2487 [..............................] - ETA: 6:27 - loss: 619.3289 - logits_profile_predictions_loss: 613.6343 - logcount_predictions_loss: 0.2751 2/2487 [..............................] - ETA: 5:58 - loss: 608.2950 - logits_profile_predictions_loss: 603.0572 - logcount_predictions_loss: 0.2530 3/2487 [..............................] - ETA: 5:51 - loss: 599.5793 - 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logits_profile_predictions_loss: 586.9812 - logcount_predictions_loss: 0.2719 194/2487 [=>............................] - ETA: 5:18 - loss: 592.6157 - logits_profile_predictions_loss: 586.9859 - logcount_predictions_loss: 0.2720 195/2487 [=>............................] - ETA: 5:18 - loss: 592.6198 - logits_profile_predictions_loss: 586.9891 - logcount_predictions_loss: 0.2720 196/2487 [=>............................] - ETA: 5:18 - loss: 592.6247 - logits_profile_predictions_loss: 586.9931 - logcount_predictions_loss: 0.2721 197/2487 [=>............................] - ETA: 5:18 - loss: 592.6298 - logits_profile_predictions_loss: 586.9973 - logcount_predictions_loss: 0.2721 198/2487 [=>............................] - ETA: 5:18 - loss: 592.6344 - logits_profile_predictions_loss: 587.0011 - logcount_predictions_loss: 0.2721 199/2487 [=>............................] - ETA: 5:18 - loss: 592.6380 - logits_profile_predictions_loss: 587.0039 - logcount_predictions_loss: 0.2722 200/2487 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logits_profile_predictions_loss: 587.0378 - logcount_predictions_loss: 0.2724 207/2487 [=>............................] - ETA: 5:17 - loss: 592.6839 - logits_profile_predictions_loss: 587.0437 - logcount_predictions_loss: 0.2725 208/2487 [=>............................] - ETA: 5:17 - loss: 592.6922 - logits_profile_predictions_loss: 587.0513 - logcount_predictions_loss: 0.2725 209/2487 [=>............................] - ETA: 5:16 - loss: 592.6998 - logits_profile_predictions_loss: 587.0583 - logcount_predictions_loss: 0.2725 210/2487 [=>............................] - ETA: 5:16 - loss: 592.7059 - logits_profile_predictions_loss: 587.0636 - logcount_predictions_loss: 0.2726 211/2487 [=>............................] - ETA: 5:16 - loss: 592.7118 - logits_profile_predictions_loss: 587.0689 - logcount_predictions_loss: 0.2726 212/2487 [=>............................] - ETA: 5:16 - loss: 592.7185 - logits_profile_predictions_loss: 587.0749 - logcount_predictions_loss: 0.2726 213/2487 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[=>............................] - ETA: 5:14 - loss: 592.8591 - logits_profile_predictions_loss: 587.2058 - logcount_predictions_loss: 0.2731 227/2487 [=>............................] - ETA: 5:14 - loss: 592.8732 - logits_profile_predictions_loss: 587.2192 - logcount_predictions_loss: 0.2731 228/2487 [=>............................] - ETA: 5:14 - loss: 592.8868 - logits_profile_predictions_loss: 587.2320 - logcount_predictions_loss: 0.2732 229/2487 [=>............................] - ETA: 5:14 - loss: 592.9009 - logits_profile_predictions_loss: 587.2454 - logcount_predictions_loss: 0.2732 230/2487 [=>............................] - ETA: 5:13 - loss: 592.9153 - logits_profile_predictions_loss: 587.2591 - logcount_predictions_loss: 0.2732 231/2487 [=>............................] - ETA: 5:13 - loss: 592.9287 - logits_profile_predictions_loss: 587.2717 - logcount_predictions_loss: 0.2733 232/2487 [=>............................] - ETA: 5:13 - loss: 592.9405 - logits_profile_predictions_loss: 587.2828 - logcount_predictions_loss: 0.2733 233/2487 [=>............................] - ETA: 5:13 - loss: 592.9527 - logits_profile_predictions_loss: 587.2941 - logcount_predictions_loss: 0.2734 234/2487 [=>............................] - ETA: 5:13 - loss: 592.9635 - logits_profile_predictions_loss: 587.3041 - logcount_predictions_loss: 0.2734 235/2487 [=>............................] - ETA: 5:13 - loss: 592.9734 - logits_profile_predictions_loss: 587.3131 - logcount_predictions_loss: 0.2734 236/2487 [=>............................] - ETA: 5:13 - loss: 592.9833 - logits_profile_predictions_loss: 587.3221 - logcount_predictions_loss: 0.2735 237/2487 [=>............................] - ETA: 5:12 - loss: 592.9932 - logits_profile_predictions_loss: 587.3312 - logcount_predictions_loss: 0.2735 238/2487 [=>............................] - ETA: 5:12 - loss: 593.0032 - logits_profile_predictions_loss: 587.3404 - logcount_predictions_loss: 0.2736 239/2487 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[==>...........................] - ETA: 5:07 - loss: 593.3675 - logits_profile_predictions_loss: 587.6747 - logcount_predictions_loss: 0.2750 279/2487 [==>...........................] - ETA: 5:07 - loss: 593.3736 - logits_profile_predictions_loss: 587.6802 - logcount_predictions_loss: 0.2750 280/2487 [==>...........................] - ETA: 5:07 - loss: 593.3794 - logits_profile_predictions_loss: 587.6853 - logcount_predictions_loss: 0.2751 281/2487 [==>...........................] - ETA: 5:06 - loss: 593.3844 - logits_profile_predictions_loss: 587.6896 - logcount_predictions_loss: 0.2751 282/2487 [==>...........................] - ETA: 5:06 - loss: 593.3899 - logits_profile_predictions_loss: 587.6944 - logcount_predictions_loss: 0.2751 283/2487 [==>...........................] - ETA: 5:06 - loss: 593.3971 - logits_profile_predictions_loss: 587.7009 - logcount_predictions_loss: 0.2752 284/2487 [==>...........................] - ETA: 5:06 - loss: 593.4047 - 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[==>...........................] - ETA: 5:05 - loss: 593.4727 - logits_profile_predictions_loss: 587.7716 - logcount_predictions_loss: 0.2754 292/2487 [==>...........................] - ETA: 5:05 - loss: 593.4827 - logits_profile_predictions_loss: 587.7809 - logcount_predictions_loss: 0.2754 293/2487 [==>...........................] - ETA: 5:05 - loss: 593.4921 - logits_profile_predictions_loss: 587.7899 - logcount_predictions_loss: 0.2755 294/2487 [==>...........................] - ETA: 5:05 - loss: 593.5016 - logits_profile_predictions_loss: 587.7988 - logcount_predictions_loss: 0.2755 295/2487 [==>...........................] - ETA: 5:04 - loss: 593.5104 - logits_profile_predictions_loss: 587.8070 - logcount_predictions_loss: 0.2755 296/2487 [==>...........................] - ETA: 5:04 - loss: 593.5188 - logits_profile_predictions_loss: 587.8149 - logcount_predictions_loss: 0.2755 297/2487 [==>...........................] - ETA: 5:04 - loss: 593.5280 - 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[===>..........................] - ETA: 4:52 - loss: 594.0697 - logits_profile_predictions_loss: 588.3302 - logcount_predictions_loss: 0.2773 383/2487 [===>..........................] - ETA: 4:52 - loss: 594.0724 - logits_profile_predictions_loss: 588.3326 - logcount_predictions_loss: 0.2773 384/2487 [===>..........................] - ETA: 4:52 - loss: 594.0749 - logits_profile_predictions_loss: 588.3346 - logcount_predictions_loss: 0.2773 385/2487 [===>..........................] - ETA: 4:52 - loss: 594.0771 - logits_profile_predictions_loss: 588.3365 - logcount_predictions_loss: 0.2773 386/2487 [===>..........................] - ETA: 4:52 - loss: 594.0796 - logits_profile_predictions_loss: 588.3386 - logcount_predictions_loss: 0.2773 387/2487 [===>..........................] - ETA: 4:52 - loss: 594.0812 - logits_profile_predictions_loss: 588.3398 - logcount_predictions_loss: 0.2774 388/2487 [===>..........................] - ETA: 4:51 - loss: 594.0825 - 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logits_profile_predictions_loss: 588.3508 - logcount_predictions_loss: 0.2776 402/2487 [===>..........................] - ETA: 4:49 - loss: 594.0983 - logits_profile_predictions_loss: 588.3514 - logcount_predictions_loss: 0.2776 403/2487 [===>..........................] - ETA: 4:49 - loss: 594.0999 - logits_profile_predictions_loss: 588.3527 - logcount_predictions_loss: 0.2776 404/2487 [===>..........................] - ETA: 4:49 - loss: 594.1016 - logits_profile_predictions_loss: 588.3540 - logcount_predictions_loss: 0.2777 405/2487 [===>..........................] - ETA: 4:49 - loss: 594.1031 - logits_profile_predictions_loss: 588.3552 - logcount_predictions_loss: 0.2777 406/2487 [===>..........................] - ETA: 4:49 - loss: 594.1043 - logits_profile_predictions_loss: 588.3561 - logcount_predictions_loss: 0.2777 407/2487 [===>..........................] - ETA: 4:49 - loss: 594.1054 - logits_profile_predictions_loss: 588.3568 - logcount_predictions_loss: 0.2777 408/2487 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logits_profile_predictions_loss: 588.3596 - logcount_predictions_loss: 0.2778 415/2487 [====>.........................] - ETA: 4:48 - loss: 594.1117 - logits_profile_predictions_loss: 588.3602 - logcount_predictions_loss: 0.2778 416/2487 [====>.........................] - ETA: 4:47 - loss: 594.1127 - logits_profile_predictions_loss: 588.3608 - logcount_predictions_loss: 0.2779 417/2487 [====>.........................] - ETA: 4:47 - loss: 594.1139 - logits_profile_predictions_loss: 588.3617 - logcount_predictions_loss: 0.2779 418/2487 [====>.........................] - ETA: 4:47 - loss: 594.1155 - logits_profile_predictions_loss: 588.3629 - logcount_predictions_loss: 0.2779 419/2487 [====>.........................] - ETA: 4:47 - loss: 594.1170 - logits_profile_predictions_loss: 588.3641 - logcount_predictions_loss: 0.2779 420/2487 [====>.........................] - ETA: 4:47 - loss: 594.1185 - logits_profile_predictions_loss: 588.3653 - logcount_predictions_loss: 0.2779 421/2487 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val_logits_profile_predictions_loss: 589.2038 - val_logcount_predictions_loss: 0.2991 + +Epoch 00009: val_loss did not improve from 594.34058 +Epoch 10/50 + 1/2487 [..............................] - ETA: 6:27 - loss: 618.3385 - logits_profile_predictions_loss: 613.6875 - logcount_predictions_loss: 0.2247 2/2487 [..............................] - ETA: 5:48 - loss: 630.0023 - logits_profile_predictions_loss: 625.2708 - logcount_predictions_loss: 0.2286 3/2487 [..............................] - ETA: 5:46 - loss: 632.1303 - logits_profile_predictions_loss: 627.1667 - logcount_predictions_loss: 0.2398 4/2487 [..............................] - ETA: 5:46 - loss: 629.3565 - logits_profile_predictions_loss: 624.1360 - logcount_predictions_loss: 0.2522 5/2487 [..............................] - ETA: 5:46 - loss: 626.2549 - logits_profile_predictions_loss: 620.8583 - logcount_predictions_loss: 0.2607 6/2487 [..............................] - ETA: 5:46 - loss: 625.3556 - 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logits_profile_predictions_loss: 590.1167 - logcount_predictions_loss: 0.2783 184/2487 [=>............................] - ETA: 5:22 - loss: 595.8645 - logits_profile_predictions_loss: 590.1047 - logcount_predictions_loss: 0.2782 185/2487 [=>............................] - ETA: 5:22 - loss: 595.8505 - logits_profile_predictions_loss: 590.0910 - logcount_predictions_loss: 0.2782 186/2487 [=>............................] - ETA: 5:22 - loss: 595.8349 - logits_profile_predictions_loss: 590.0756 - logcount_predictions_loss: 0.2782 187/2487 [=>............................] - ETA: 5:21 - loss: 595.8198 - logits_profile_predictions_loss: 590.0606 - logcount_predictions_loss: 0.2782 188/2487 [=>............................] - ETA: 5:21 - loss: 595.8040 - logits_profile_predictions_loss: 590.0450 - logcount_predictions_loss: 0.2782 189/2487 [=>............................] - ETA: 5:21 - loss: 595.7878 - logits_profile_predictions_loss: 590.0290 - logcount_predictions_loss: 0.2782 190/2487 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[====>.........................] - ETA: 4:43 - loss: 593.9488 - logits_profile_predictions_loss: 588.2148 - logcount_predictions_loss: 0.2770 464/2487 [====>.........................] - ETA: 4:42 - loss: 593.9495 - logits_profile_predictions_loss: 588.2156 - logcount_predictions_loss: 0.2770 465/2487 [====>.........................] - ETA: 4:42 - loss: 593.9503 - logits_profile_predictions_loss: 588.2166 - logcount_predictions_loss: 0.2770 466/2487 [====>.........................] - ETA: 4:42 - loss: 593.9512 - logits_profile_predictions_loss: 588.2177 - logcount_predictions_loss: 0.2770 467/2487 [====>.........................] - ETA: 4:42 - loss: 593.9523 - logits_profile_predictions_loss: 588.2188 - logcount_predictions_loss: 0.2770 468/2487 [====>.........................] - ETA: 4:42 - loss: 593.9529 - logits_profile_predictions_loss: 588.2196 - logcount_predictions_loss: 0.2770 469/2487 [====>.........................] - ETA: 4:42 - loss: 593.9537 - 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[====>.........................] - ETA: 4:41 - loss: 593.9640 - logits_profile_predictions_loss: 588.2320 - logcount_predictions_loss: 0.2769 477/2487 [====>.........................] - ETA: 4:41 - loss: 593.9653 - logits_profile_predictions_loss: 588.2334 - logcount_predictions_loss: 0.2769 478/2487 [====>.........................] - ETA: 4:40 - loss: 593.9665 - logits_profile_predictions_loss: 588.2348 - logcount_predictions_loss: 0.2769 479/2487 [====>.........................] - ETA: 4:40 - loss: 593.9675 - logits_profile_predictions_loss: 588.2359 - logcount_predictions_loss: 0.2769 480/2487 [====>.........................] - ETA: 4:40 - loss: 593.9682 - logits_profile_predictions_loss: 588.2367 - logcount_predictions_loss: 0.2769 481/2487 [====>.........................] - ETA: 4:40 - loss: 593.9691 - logits_profile_predictions_loss: 588.2377 - logcount_predictions_loss: 0.2769 482/2487 [====>.........................] - ETA: 4:40 - loss: 593.9703 - 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[====>.........................] - ETA: 4:39 - loss: 593.9797 - logits_profile_predictions_loss: 588.2494 - logcount_predictions_loss: 0.2768 490/2487 [====>.........................] - ETA: 4:39 - loss: 593.9813 - logits_profile_predictions_loss: 588.2511 - logcount_predictions_loss: 0.2768 491/2487 [====>.........................] - ETA: 4:39 - loss: 593.9827 - logits_profile_predictions_loss: 588.2526 - logcount_predictions_loss: 0.2768 492/2487 [====>.........................] - ETA: 4:39 - loss: 593.9840 - logits_profile_predictions_loss: 588.2540 - logcount_predictions_loss: 0.2768 493/2487 [====>.........................] - ETA: 4:38 - loss: 593.9854 - logits_profile_predictions_loss: 588.2555 - logcount_predictions_loss: 0.2768 494/2487 [====>.........................] - ETA: 4:38 - loss: 593.9865 - logits_profile_predictions_loss: 588.2568 - logcount_predictions_loss: 0.2768 495/2487 [====>.........................] - ETA: 4:38 - loss: 593.9875 - 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[=====>........................] - ETA: 4:37 - loss: 593.9963 - logits_profile_predictions_loss: 588.2674 - logcount_predictions_loss: 0.2768 503/2487 [=====>........................] - ETA: 4:37 - loss: 593.9974 - logits_profile_predictions_loss: 588.2686 - logcount_predictions_loss: 0.2768 504/2487 [=====>........................] - ETA: 4:37 - loss: 593.9988 - logits_profile_predictions_loss: 588.2701 - logcount_predictions_loss: 0.2768 505/2487 [=====>........................] - ETA: 4:37 - loss: 594.0001 - logits_profile_predictions_loss: 588.2714 - logcount_predictions_loss: 0.2768 506/2487 [=====>........................] - ETA: 4:37 - loss: 594.0012 - logits_profile_predictions_loss: 588.2727 - logcount_predictions_loss: 0.2767 507/2487 [=====>........................] - ETA: 4:36 - loss: 594.0024 - logits_profile_predictions_loss: 588.2739 - logcount_predictions_loss: 0.2767 508/2487 [=====>........................] - ETA: 4:36 - loss: 594.0034 - 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[=====>........................] - ETA: 4:35 - loss: 594.0108 - logits_profile_predictions_loss: 588.2831 - logcount_predictions_loss: 0.2767 516/2487 [=====>........................] - ETA: 4:35 - loss: 594.0117 - logits_profile_predictions_loss: 588.2840 - logcount_predictions_loss: 0.2767 517/2487 [=====>........................] - ETA: 4:35 - loss: 594.0127 - logits_profile_predictions_loss: 588.2852 - logcount_predictions_loss: 0.2767 518/2487 [=====>........................] - ETA: 4:35 - loss: 594.0138 - logits_profile_predictions_loss: 588.2864 - logcount_predictions_loss: 0.2767 519/2487 [=====>........................] - ETA: 4:35 - loss: 594.0149 - logits_profile_predictions_loss: 588.2875 - logcount_predictions_loss: 0.2767 520/2487 [=====>........................] - ETA: 4:35 - loss: 594.0158 - logits_profile_predictions_loss: 588.2886 - logcount_predictions_loss: 0.2767 521/2487 [=====>........................] - ETA: 4:34 - loss: 594.0165 - 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[=====>........................] - ETA: 4:33 - loss: 594.0253 - logits_profile_predictions_loss: 588.2989 - logcount_predictions_loss: 0.2766 529/2487 [=====>........................] - ETA: 4:33 - loss: 594.0266 - logits_profile_predictions_loss: 588.3003 - logcount_predictions_loss: 0.2766 530/2487 [=====>........................] - ETA: 4:33 - loss: 594.0279 - logits_profile_predictions_loss: 588.3017 - logcount_predictions_loss: 0.2766 531/2487 [=====>........................] - ETA: 4:33 - loss: 594.0289 - logits_profile_predictions_loss: 588.3029 - logcount_predictions_loss: 0.2766 532/2487 [=====>........................] - ETA: 4:33 - loss: 594.0297 - logits_profile_predictions_loss: 588.3038 - logcount_predictions_loss: 0.2766 533/2487 [=====>........................] - ETA: 4:33 - loss: 594.0306 - logits_profile_predictions_loss: 588.3047 - logcount_predictions_loss: 0.2766 534/2487 [=====>........................] - ETA: 4:33 - loss: 594.0312 - 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[=====>........................] - ETA: 4:32 - loss: 594.0352 - logits_profile_predictions_loss: 588.3103 - logcount_predictions_loss: 0.2766 542/2487 [=====>........................] - ETA: 4:31 - loss: 594.0358 - logits_profile_predictions_loss: 588.3110 - logcount_predictions_loss: 0.2766 543/2487 [=====>........................] - ETA: 4:31 - loss: 594.0364 - logits_profile_predictions_loss: 588.3116 - logcount_predictions_loss: 0.2766 544/2487 [=====>........................] - ETA: 4:31 - loss: 594.0368 - logits_profile_predictions_loss: 588.3122 - logcount_predictions_loss: 0.2766 545/2487 [=====>........................] - ETA: 4:31 - loss: 594.0370 - logits_profile_predictions_loss: 588.3125 - logcount_predictions_loss: 0.2766 546/2487 [=====>........................] - ETA: 4:31 - loss: 594.0374 - logits_profile_predictions_loss: 588.3130 - logcount_predictions_loss: 0.2765 547/2487 [=====>........................] - ETA: 4:31 - loss: 594.0376 - 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- logcount_predictions_loss: 0.2649 10/2487 [..............................] - ETA: 5:45 - loss: 609.0803 - logits_profile_predictions_loss: 603.6117 - logcount_predictions_loss: 0.2642 11/2487 [..............................] - ETA: 5:45 - loss: 606.7333 - logits_profile_predictions_loss: 601.2827 - logcount_predictions_loss: 0.2633 12/2487 [..............................] - ETA: 5:45 - loss: 605.1929 - logits_profile_predictions_loss: 599.7480 - logcount_predictions_loss: 0.2630 13/2487 [..............................] - ETA: 5:45 - loss: 604.0384 - logits_profile_predictions_loss: 598.5973 - logcount_predictions_loss: 0.2629 14/2487 [..............................] - ETA: 5:44 - loss: 603.2370 - logits_profile_predictions_loss: 597.7983 - logcount_predictions_loss: 0.2627 15/2487 [..............................] - ETA: 5:44 - loss: 602.5313 - logits_profile_predictions_loss: 597.0888 - logcount_predictions_loss: 0.2629 16/2487 [..............................] - ETA: 5:44 - loss: 601.6419 - logits_profile_predictions_loss: 596.1962 - logcount_predictions_loss: 0.2631 17/2487 [..............................] - ETA: 5:44 - loss: 600.6836 - logits_profile_predictions_loss: 595.2415 - logcount_predictions_loss: 0.2629 18/2487 [..............................] - ETA: 5:44 - loss: 599.9488 - logits_profile_predictions_loss: 594.5074 - logcount_predictions_loss: 0.2629 19/2487 [..............................] - ETA: 5:44 - loss: 599.4116 - logits_profile_predictions_loss: 593.9691 - logcount_predictions_loss: 0.2629 20/2487 [..............................] - ETA: 5:44 - loss: 598.8420 - logits_profile_predictions_loss: 593.3940 - logcount_predictions_loss: 0.2632 21/2487 [..............................] - ETA: 5:44 - loss: 598.1833 - logits_profile_predictions_loss: 592.7330 - logcount_predictions_loss: 0.2633 22/2487 [..............................] - ETA: 5:43 - loss: 597.6771 - logits_profile_predictions_loss: 592.2290 - logcount_predictions_loss: 0.2632 23/2487 [..............................] - ETA: 5:43 - loss: 597.0817 - logits_profile_predictions_loss: 591.6388 - logcount_predictions_loss: 0.2629 24/2487 [..............................] - ETA: 5:43 - loss: 596.5216 - logits_profile_predictions_loss: 591.0810 - logcount_predictions_loss: 0.2628 25/2487 [..............................] - ETA: 5:43 - loss: 596.0503 - logits_profile_predictions_loss: 590.6136 - logcount_predictions_loss: 0.2626 26/2487 [..............................] - ETA: 5:43 - loss: 595.6596 - logits_profile_predictions_loss: 590.2281 - logcount_predictions_loss: 0.2624 27/2487 [..............................] - ETA: 5:43 - loss: 595.2532 - logits_profile_predictions_loss: 589.8250 - logcount_predictions_loss: 0.2622 28/2487 [..............................] - ETA: 5:42 - loss: 594.9676 - logits_profile_predictions_loss: 589.5395 - logcount_predictions_loss: 0.2622 29/2487 [..............................] - ETA: 5:42 - loss: 594.7298 - logits_profile_predictions_loss: 589.3041 - logcount_predictions_loss: 0.2621 30/2487 [..............................] - ETA: 5:42 - loss: 594.4937 - logits_profile_predictions_loss: 589.0700 - logcount_predictions_loss: 0.2620 31/2487 [..............................] - ETA: 5:42 - loss: 594.2368 - logits_profile_predictions_loss: 588.8148 - logcount_predictions_loss: 0.2619 32/2487 [..............................] - ETA: 5:42 - loss: 593.9847 - logits_profile_predictions_loss: 588.5645 - logcount_predictions_loss: 0.2618 33/2487 [..............................] - ETA: 5:41 - loss: 593.7857 - logits_profile_predictions_loss: 588.3657 - logcount_predictions_loss: 0.2618 34/2487 [..............................] - ETA: 5:41 - loss: 593.6255 - logits_profile_predictions_loss: 588.2059 - logcount_predictions_loss: 0.2618 35/2487 [..............................] - ETA: 5:41 - loss: 593.4677 - logits_profile_predictions_loss: 588.0487 - logcount_predictions_loss: 0.2618 36/2487 [..............................] - ETA: 5:41 - loss: 593.2549 - logits_profile_predictions_loss: 587.8355 - logcount_predictions_loss: 0.2618 37/2487 [..............................] - ETA: 5:41 - loss: 593.0806 - logits_profile_predictions_loss: 587.6611 - logcount_predictions_loss: 0.2618 38/2487 [..............................] - ETA: 5:41 - loss: 592.9530 - logits_profile_predictions_loss: 587.5339 - logcount_predictions_loss: 0.2618 39/2487 [..............................] - ETA: 5:40 - loss: 592.8149 - logits_profile_predictions_loss: 587.3933 - logcount_predictions_loss: 0.2619 40/2487 [..............................] - ETA: 5:40 - loss: 592.7186 - logits_profile_predictions_loss: 587.2939 - logcount_predictions_loss: 0.2621 41/2487 [..............................] - ETA: 5:40 - loss: 592.6050 - logits_profile_predictions_loss: 587.1780 - logcount_predictions_loss: 0.2622 42/2487 [..............................] - ETA: 5:40 - loss: 592.5317 - logits_profile_predictions_loss: 587.1023 - logcount_predictions_loss: 0.2623 43/2487 [..............................] - ETA: 5:40 - loss: 592.4787 - logits_profile_predictions_loss: 587.0475 - logcount_predictions_loss: 0.2624 44/2487 [..............................] - ETA: 5:40 - loss: 592.4174 - logits_profile_predictions_loss: 586.9849 - logcount_predictions_loss: 0.2624 45/2487 [..............................] - ETA: 5:40 - loss: 592.3558 - logits_profile_predictions_loss: 586.9230 - logcount_predictions_loss: 0.2625 46/2487 [..............................] - ETA: 5:39 - loss: 592.2877 - logits_profile_predictions_loss: 586.8549 - logcount_predictions_loss: 0.2625 47/2487 [..............................] - ETA: 5:39 - loss: 592.2437 - logits_profile_predictions_loss: 586.8103 - logcount_predictions_loss: 0.2625 48/2487 [..............................] - ETA: 5:39 - loss: 592.2203 - logits_profile_predictions_loss: 586.7858 - logcount_predictions_loss: 0.2625 49/2487 [..............................] - ETA: 5:39 - loss: 592.1888 - logits_profile_predictions_loss: 586.7538 - logcount_predictions_loss: 0.2626 50/2487 [..............................] - ETA: 5:39 - loss: 592.1580 - logits_profile_predictions_loss: 586.7217 - logcount_predictions_loss: 0.2626 51/2487 [..............................] - ETA: 5:39 - loss: 592.1337 - logits_profile_predictions_loss: 586.6946 - logcount_predictions_loss: 0.2628 52/2487 [..............................] - ETA: 5:38 - loss: 592.1272 - logits_profile_predictions_loss: 586.6853 - logcount_predictions_loss: 0.2629 53/2487 [..............................] - ETA: 5:38 - loss: 592.1175 - logits_profile_predictions_loss: 586.6729 - logcount_predictions_loss: 0.2630 54/2487 [..............................] - ETA: 5:38 - loss: 592.0991 - logits_profile_predictions_loss: 586.6516 - logcount_predictions_loss: 0.2632 55/2487 [..............................] - ETA: 5:38 - loss: 592.0701 - logits_profile_predictions_loss: 586.6189 - logcount_predictions_loss: 0.2633 56/2487 [..............................] - ETA: 5:38 - loss: 592.0335 - logits_profile_predictions_loss: 586.5790 - logcount_predictions_loss: 0.2635 57/2487 [..............................] - ETA: 5:38 - loss: 592.0167 - logits_profile_predictions_loss: 586.5596 - logcount_predictions_loss: 0.2636 58/2487 [..............................] - ETA: 5:38 - loss: 592.0117 - logits_profile_predictions_loss: 586.5521 - logcount_predictions_loss: 0.2637 59/2487 [..............................] - ETA: 5:38 - loss: 592.0092 - logits_profile_predictions_loss: 586.5465 - logcount_predictions_loss: 0.2639 60/2487 [..............................] - ETA: 5:38 - loss: 592.0171 - logits_profile_predictions_loss: 586.5512 - logcount_predictions_loss: 0.2641 61/2487 [..............................] - ETA: 5:38 - loss: 592.0282 - logits_profile_predictions_loss: 586.5597 - logcount_predictions_loss: 0.2642 62/2487 [..............................] - ETA: 5:37 - loss: 592.0286 - logits_profile_predictions_loss: 586.5573 - logcount_predictions_loss: 0.2643 63/2487 [..............................] - ETA: 5:37 - loss: 592.0418 - logits_profile_predictions_loss: 586.5675 - logcount_predictions_loss: 0.2645 64/2487 [..............................] - ETA: 5:37 - loss: 592.0387 - logits_profile_predictions_loss: 586.5617 - logcount_predictions_loss: 0.2646 65/2487 [..............................] - ETA: 5:37 - loss: 592.0460 - logits_profile_predictions_loss: 586.5663 - logcount_predictions_loss: 0.2647 66/2487 [..............................] - ETA: 5:37 - loss: 592.0598 - logits_profile_predictions_loss: 586.5774 - logcount_predictions_loss: 0.2648 67/2487 [..............................] - ETA: 5:37 - loss: 592.0827 - logits_profile_predictions_loss: 586.5979 - logcount_predictions_loss: 0.2650 68/2487 [..............................] - ETA: 5:37 - loss: 592.0943 - logits_profile_predictions_loss: 586.6069 - logcount_predictions_loss: 0.2651 69/2487 [..............................] - ETA: 5:36 - loss: 592.1038 - logits_profile_predictions_loss: 586.6141 - logcount_predictions_loss: 0.2652 70/2487 [..............................] - ETA: 5:36 - loss: 592.1065 - logits_profile_predictions_loss: 586.6143 - logcount_predictions_loss: 0.2653 71/2487 [..............................] - ETA: 5:36 - loss: 592.1096 - logits_profile_predictions_loss: 586.6153 - logcount_predictions_loss: 0.2654 72/2487 [..............................] - ETA: 5:36 - loss: 592.1262 - logits_profile_predictions_loss: 586.6301 - logcount_predictions_loss: 0.2655 73/2487 [..............................] - ETA: 5:36 - loss: 592.1408 - logits_profile_predictions_loss: 586.6431 - logcount_predictions_loss: 0.2656 74/2487 [..............................] - ETA: 5:36 - loss: 592.1551 - logits_profile_predictions_loss: 586.6558 - logcount_predictions_loss: 0.2657 75/2487 [..............................] - ETA: 5:35 - loss: 592.1647 - logits_profile_predictions_loss: 586.6637 - logcount_predictions_loss: 0.2657 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logits_profile_predictions_loss: 586.6892 - logcount_predictions_loss: 0.2661 83/2487 [>.............................] - ETA: 5:34 - loss: 592.1982 - logits_profile_predictions_loss: 586.6884 - logcount_predictions_loss: 0.2662 84/2487 [>.............................] - ETA: 5:34 - loss: 592.2033 - logits_profile_predictions_loss: 586.6924 - logcount_predictions_loss: 0.2662 85/2487 [>.............................] - ETA: 5:34 - loss: 592.2085 - logits_profile_predictions_loss: 586.6967 - logcount_predictions_loss: 0.2663 86/2487 [>.............................] - ETA: 5:34 - loss: 592.2193 - logits_profile_predictions_loss: 586.7064 - logcount_predictions_loss: 0.2663 87/2487 [>.............................] - ETA: 5:34 - loss: 592.2243 - logits_profile_predictions_loss: 586.7104 - logcount_predictions_loss: 0.2664 88/2487 [>.............................] - ETA: 5:34 - loss: 592.2392 - logits_profile_predictions_loss: 586.7245 - logcount_predictions_loss: 0.2664 89/2487 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- loss: 592.4278 - logits_profile_predictions_loss: 586.9085 - logcount_predictions_loss: 0.2666 103/2487 [>.............................] - ETA: 5:31 - loss: 592.4364 - logits_profile_predictions_loss: 586.9168 - logcount_predictions_loss: 0.2666 104/2487 [>.............................] - ETA: 5:31 - loss: 592.4339 - logits_profile_predictions_loss: 586.9140 - logcount_predictions_loss: 0.2667 105/2487 [>.............................] - ETA: 5:31 - loss: 592.4273 - logits_profile_predictions_loss: 586.9071 - logcount_predictions_loss: 0.2667 106/2487 [>.............................] - ETA: 5:31 - loss: 592.4224 - logits_profile_predictions_loss: 586.9021 - logcount_predictions_loss: 0.2667 107/2487 [>.............................] - ETA: 5:31 - loss: 592.4240 - logits_profile_predictions_loss: 586.9035 - logcount_predictions_loss: 0.2667 108/2487 [>.............................] - ETA: 5:31 - loss: 592.4219 - logits_profile_predictions_loss: 586.9012 - logcount_predictions_loss: 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[>.............................] - ETA: 5:29 - loss: 592.2964 - logits_profile_predictions_loss: 586.7750 - logcount_predictions_loss: 0.2667 123/2487 [>.............................] - ETA: 5:28 - loss: 592.2827 - logits_profile_predictions_loss: 586.7612 - logcount_predictions_loss: 0.2667 124/2487 [>.............................] - ETA: 5:28 - loss: 592.2724 - logits_profile_predictions_loss: 586.7508 - logcount_predictions_loss: 0.2667 125/2487 [>.............................] - ETA: 5:28 - loss: 592.2587 - logits_profile_predictions_loss: 586.7369 - logcount_predictions_loss: 0.2668 126/2487 [>.............................] - ETA: 5:28 - loss: 592.2416 - logits_profile_predictions_loss: 586.7198 - logcount_predictions_loss: 0.2668 127/2487 [>.............................] - ETA: 5:28 - loss: 592.2228 - logits_profile_predictions_loss: 586.7011 - logcount_predictions_loss: 0.2667 128/2487 [>.............................] - ETA: 5:28 - loss: 592.2005 - logits_profile_predictions_loss: 586.6788 - logcount_predictions_loss: 0.2667 129/2487 [>.............................] - ETA: 5:28 - loss: 592.1796 - logits_profile_predictions_loss: 586.6580 - logcount_predictions_loss: 0.2667 130/2487 [>.............................] - ETA: 5:27 - loss: 592.1602 - logits_profile_predictions_loss: 586.6385 - logcount_predictions_loss: 0.2667 131/2487 [>.............................] - ETA: 5:27 - loss: 592.1422 - logits_profile_predictions_loss: 586.6206 - logcount_predictions_loss: 0.2667 132/2487 [>.............................] - ETA: 5:27 - loss: 592.1252 - logits_profile_predictions_loss: 586.6037 - logcount_predictions_loss: 0.2667 133/2487 [>.............................] - ETA: 5:27 - loss: 592.1067 - logits_profile_predictions_loss: 586.5851 - logcount_predictions_loss: 0.2667 134/2487 [>.............................] - ETA: 5:27 - loss: 592.0865 - logits_profile_predictions_loss: 586.5650 - logcount_predictions_loss: 0.2667 135/2487 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logits_profile_predictions_loss: 586.4796 - logcount_predictions_loss: 0.2667 142/2487 [>.............................] - ETA: 5:26 - loss: 591.9985 - logits_profile_predictions_loss: 586.4775 - logcount_predictions_loss: 0.2667 143/2487 [>.............................] - ETA: 5:26 - loss: 591.9928 - logits_profile_predictions_loss: 586.4720 - logcount_predictions_loss: 0.2667 144/2487 [>.............................] - ETA: 5:26 - loss: 591.9873 - logits_profile_predictions_loss: 586.4666 - logcount_predictions_loss: 0.2667 145/2487 [>.............................] - ETA: 5:25 - loss: 591.9847 - logits_profile_predictions_loss: 586.4642 - logcount_predictions_loss: 0.2667 146/2487 [>.............................] - ETA: 5:25 - loss: 591.9827 - logits_profile_predictions_loss: 586.4624 - logcount_predictions_loss: 0.2667 147/2487 [>.............................] - ETA: 5:25 - loss: 591.9816 - logits_profile_predictions_loss: 586.4616 - logcount_predictions_loss: 0.2667 148/2487 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logits_profile_predictions_loss: 586.4372 - logcount_predictions_loss: 0.2666 155/2487 [>.............................] - ETA: 5:24 - loss: 591.9477 - logits_profile_predictions_loss: 586.4304 - logcount_predictions_loss: 0.2665 156/2487 [>.............................] - ETA: 5:24 - loss: 591.9435 - logits_profile_predictions_loss: 586.4266 - logcount_predictions_loss: 0.2665 157/2487 [>.............................] - ETA: 5:24 - loss: 591.9396 - logits_profile_predictions_loss: 586.4230 - logcount_predictions_loss: 0.2665 158/2487 [>.............................] - ETA: 5:24 - loss: 591.9371 - logits_profile_predictions_loss: 586.4210 - logcount_predictions_loss: 0.2665 159/2487 [>.............................] - ETA: 5:24 - loss: 591.9337 - logits_profile_predictions_loss: 586.4179 - logcount_predictions_loss: 0.2665 160/2487 [>.............................] - ETA: 5:23 - loss: 591.9302 - logits_profile_predictions_loss: 586.4148 - logcount_predictions_loss: 0.2664 161/2487 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logits_profile_predictions_loss: 586.3895 - logcount_predictions_loss: 0.2664 168/2487 [=>............................] - ETA: 5:22 - loss: 591.8997 - logits_profile_predictions_loss: 586.3852 - logcount_predictions_loss: 0.2664 169/2487 [=>............................] - ETA: 5:22 - loss: 591.8949 - logits_profile_predictions_loss: 586.3801 - logcount_predictions_loss: 0.2664 170/2487 [=>............................] - ETA: 5:22 - loss: 591.8897 - logits_profile_predictions_loss: 586.3747 - logcount_predictions_loss: 0.2664 171/2487 [=>............................] - ETA: 5:22 - loss: 591.8851 - logits_profile_predictions_loss: 586.3700 - logcount_predictions_loss: 0.2664 172/2487 [=>............................] - ETA: 5:22 - loss: 591.8816 - logits_profile_predictions_loss: 586.3662 - logcount_predictions_loss: 0.2664 173/2487 [=>............................] - ETA: 5:22 - loss: 591.8787 - logits_profile_predictions_loss: 586.3631 - logcount_predictions_loss: 0.2665 174/2487 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logits_profile_predictions_loss: 586.3321 - logcount_predictions_loss: 0.2665 181/2487 [=>............................] - ETA: 5:20 - loss: 591.8440 - logits_profile_predictions_loss: 586.3265 - logcount_predictions_loss: 0.2665 182/2487 [=>............................] - ETA: 5:20 - loss: 591.8403 - logits_profile_predictions_loss: 586.3227 - logcount_predictions_loss: 0.2666 183/2487 [=>............................] - ETA: 5:20 - loss: 591.8372 - logits_profile_predictions_loss: 586.3194 - logcount_predictions_loss: 0.2666 184/2487 [=>............................] - ETA: 5:20 - loss: 591.8336 - logits_profile_predictions_loss: 586.3157 - logcount_predictions_loss: 0.2666 185/2487 [=>............................] - ETA: 5:20 - loss: 591.8298 - logits_profile_predictions_loss: 586.3117 - logcount_predictions_loss: 0.2666 186/2487 [=>............................] - ETA: 5:20 - loss: 591.8275 - logits_profile_predictions_loss: 586.3092 - logcount_predictions_loss: 0.2666 187/2487 [=>............................] - ETA: 5:20 - loss: 591.8249 - logits_profile_predictions_loss: 586.3066 - logcount_predictions_loss: 0.2666 188/2487 [=>............................] - ETA: 5:19 - loss: 591.8234 - logits_profile_predictions_loss: 586.3049 - logcount_predictions_loss: 0.2666 189/2487 [=>............................] - ETA: 5:19 - loss: 591.8189 - logits_profile_predictions_loss: 586.3002 - logcount_predictions_loss: 0.2666 190/2487 [=>............................] - ETA: 5:19 - loss: 591.8159 - logits_profile_predictions_loss: 586.2970 - logcount_predictions_loss: 0.2666 191/2487 [=>............................] - ETA: 5:19 - loss: 591.8128 - logits_profile_predictions_loss: 586.2939 - logcount_predictions_loss: 0.2666 192/2487 [=>............................] - ETA: 5:19 - loss: 591.8131 - logits_profile_predictions_loss: 586.2940 - logcount_predictions_loss: 0.2666 193/2487 [=>............................] - ETA: 5:19 - loss: 591.8136 - 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[=>............................] - ETA: 5:16 - loss: 591.7700 - logits_profile_predictions_loss: 586.2487 - logcount_predictions_loss: 0.2667 214/2487 [=>............................] - ETA: 5:16 - loss: 591.7639 - logits_profile_predictions_loss: 586.2425 - logcount_predictions_loss: 0.2667 215/2487 [=>............................] - ETA: 5:16 - loss: 591.7578 - logits_profile_predictions_loss: 586.2363 - logcount_predictions_loss: 0.2667 216/2487 [=>............................] - ETA: 5:16 - loss: 591.7511 - logits_profile_predictions_loss: 586.2296 - logcount_predictions_loss: 0.2667 217/2487 [=>............................] - ETA: 5:15 - loss: 591.7455 - logits_profile_predictions_loss: 586.2240 - logcount_predictions_loss: 0.2667 218/2487 [=>............................] - ETA: 5:15 - loss: 591.7397 - logits_profile_predictions_loss: 586.2181 - logcount_predictions_loss: 0.2667 219/2487 [=>............................] - ETA: 5:15 - loss: 591.7334 - 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logits_profile_predictions_loss: 586.2962 - logcount_predictions_loss: 0.2670 402/2487 [===>..........................] - ETA: 4:50 - loss: 591.8263 - logits_profile_predictions_loss: 586.2992 - logcount_predictions_loss: 0.2670 403/2487 [===>..........................] - ETA: 4:50 - loss: 591.8287 - logits_profile_predictions_loss: 586.3014 - logcount_predictions_loss: 0.2670 404/2487 [===>..........................] - ETA: 4:49 - loss: 591.8310 - logits_profile_predictions_loss: 586.3038 - logcount_predictions_loss: 0.2670 405/2487 [===>..........................] - ETA: 4:49 - loss: 591.8334 - logits_profile_predictions_loss: 586.3061 - logcount_predictions_loss: 0.2670 406/2487 [===>..........................] - ETA: 4:49 - loss: 591.8360 - logits_profile_predictions_loss: 586.3086 - logcount_predictions_loss: 0.2670 407/2487 [===>..........................] - ETA: 4:49 - loss: 591.8385 - logits_profile_predictions_loss: 586.3111 - logcount_predictions_loss: 0.2670 408/2487 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logits_profile_predictions_loss: 586.3280 - logcount_predictions_loss: 0.2670 415/2487 [====>.........................] - ETA: 4:48 - loss: 591.8584 - logits_profile_predictions_loss: 586.3308 - logcount_predictions_loss: 0.2670 416/2487 [====>.........................] - ETA: 4:48 - loss: 591.8614 - logits_profile_predictions_loss: 586.3338 - logcount_predictions_loss: 0.2670 417/2487 [====>.........................] - ETA: 4:48 - loss: 591.8639 - logits_profile_predictions_loss: 586.3363 - logcount_predictions_loss: 0.2670 418/2487 [====>.........................] - ETA: 4:48 - loss: 591.8670 - logits_profile_predictions_loss: 586.3393 - logcount_predictions_loss: 0.2670 419/2487 [====>.........................] - ETA: 4:47 - loss: 591.8698 - logits_profile_predictions_loss: 586.3421 - logcount_predictions_loss: 0.2670 420/2487 [====>.........................] - ETA: 4:47 - loss: 591.8728 - logits_profile_predictions_loss: 586.3451 - logcount_predictions_loss: 0.2670 421/2487 [====>.........................] - ETA: 4:47 - loss: 591.8764 - logits_profile_predictions_loss: 586.3487 - logcount_predictions_loss: 0.2670 422/2487 [====>.........................] - ETA: 4:47 - loss: 591.8805 - logits_profile_predictions_loss: 586.3528 - logcount_predictions_loss: 0.2670 423/2487 [====>.........................] - ETA: 4:47 - loss: 591.8845 - logits_profile_predictions_loss: 586.3568 - logcount_predictions_loss: 0.2670 424/2487 [====>.........................] - ETA: 4:47 - loss: 591.8886 - logits_profile_predictions_loss: 586.3609 - logcount_predictions_loss: 0.2670 425/2487 [====>.........................] - ETA: 4:47 - loss: 591.8927 - logits_profile_predictions_loss: 586.3650 - logcount_predictions_loss: 0.2670 426/2487 [====>.........................] - ETA: 4:46 - loss: 591.8966 - logits_profile_predictions_loss: 586.3690 - logcount_predictions_loss: 0.2670 427/2487 [====>.........................] - ETA: 4:46 - loss: 591.9004 - logits_profile_predictions_loss: 586.3728 - logcount_predictions_loss: 0.2670 428/2487 [====>.........................] - ETA: 4:46 - loss: 591.9046 - logits_profile_predictions_loss: 586.3770 - logcount_predictions_loss: 0.2670 429/2487 [====>.........................] - ETA: 4:46 - loss: 591.9084 - logits_profile_predictions_loss: 586.3808 - logcount_predictions_loss: 0.2670 430/2487 [====>.........................] - ETA: 4:46 - loss: 591.9120 - logits_profile_predictions_loss: 586.3844 - logcount_predictions_loss: 0.2670 431/2487 [====>.........................] - ETA: 4:46 - loss: 591.9154 - logits_profile_predictions_loss: 586.3878 - logcount_predictions_loss: 0.2670 432/2487 [====>.........................] - ETA: 4:46 - loss: 591.9186 - logits_profile_predictions_loss: 586.3911 - logcount_predictions_loss: 0.2670 433/2487 [====>.........................] - ETA: 4:45 - loss: 591.9219 - logits_profile_predictions_loss: 586.3944 - logcount_predictions_loss: 0.2670 434/2487 [====>.........................] - ETA: 4:45 - loss: 591.9250 - logits_profile_predictions_loss: 586.3975 - logcount_predictions_loss: 0.2670 435/2487 [====>.........................] - ETA: 4:45 - loss: 591.9283 - logits_profile_predictions_loss: 586.4008 - logcount_predictions_loss: 0.2670 436/2487 [====>.........................] - ETA: 4:45 - loss: 591.9316 - logits_profile_predictions_loss: 586.4042 - logcount_predictions_loss: 0.2670 437/2487 [====>.........................] - ETA: 4:45 - loss: 591.9349 - logits_profile_predictions_loss: 586.4075 - logcount_predictions_loss: 0.2670 438/2487 [====>.........................] - ETA: 4:45 - loss: 591.9383 - logits_profile_predictions_loss: 586.4110 - logcount_predictions_loss: 0.2670 439/2487 [====>.........................] - ETA: 4:45 - loss: 591.9416 - logits_profile_predictions_loss: 586.4143 - logcount_predictions_loss: 0.2670 440/2487 [====>.........................] - ETA: 4:44 - loss: 591.9449 - logits_profile_predictions_loss: 586.4177 - logcount_predictions_loss: 0.2670 441/2487 [====>.........................] - ETA: 4:44 - loss: 591.9481 - logits_profile_predictions_loss: 586.4209 - logcount_predictions_loss: 0.2670 442/2487 [====>.........................] - ETA: 4:44 - loss: 591.9510 - logits_profile_predictions_loss: 586.4238 - logcount_predictions_loss: 0.2670 443/2487 [====>.........................] - ETA: 4:44 - loss: 591.9538 - logits_profile_predictions_loss: 586.4267 - logcount_predictions_loss: 0.2670 444/2487 [====>.........................] - ETA: 4:44 - loss: 591.9565 - logits_profile_predictions_loss: 586.4294 - logcount_predictions_loss: 0.2670 445/2487 [====>.........................] - ETA: 4:44 - loss: 591.9591 - logits_profile_predictions_loss: 586.4321 - logcount_predictions_loss: 0.2670 446/2487 [====>.........................] - ETA: 4:44 - loss: 591.9620 - logits_profile_predictions_loss: 586.4350 - logcount_predictions_loss: 0.2670 447/2487 [====>.........................] - ETA: 4:43 - loss: 591.9644 - logits_profile_predictions_loss: 586.4375 - logcount_predictions_loss: 0.2670 448/2487 [====>.........................] - ETA: 4:43 - loss: 591.9668 - logits_profile_predictions_loss: 586.4399 - logcount_predictions_loss: 0.2670 449/2487 [====>.........................] - ETA: 4:43 - loss: 591.9688 - logits_profile_predictions_loss: 586.4420 - logcount_predictions_loss: 0.2670 450/2487 [====>.........................] - ETA: 4:43 - loss: 591.9710 - logits_profile_predictions_loss: 586.4443 - logcount_predictions_loss: 0.2670 451/2487 [====>.........................] - ETA: 4:43 - loss: 591.9735 - logits_profile_predictions_loss: 586.4469 - logcount_predictions_loss: 0.2670 452/2487 [====>.........................] - ETA: 4:43 - loss: 591.9763 - logits_profile_predictions_loss: 586.4498 - logcount_predictions_loss: 0.2670 453/2487 [====>.........................] - ETA: 4:43 - loss: 591.9791 - logits_profile_predictions_loss: 586.4526 - logcount_predictions_loss: 0.2670 454/2487 [====>.........................] - ETA: 4:42 - loss: 591.9818 - logits_profile_predictions_loss: 586.4554 - logcount_predictions_loss: 0.2670 455/2487 [====>.........................] - ETA: 4:42 - loss: 591.9844 - logits_profile_predictions_loss: 586.4581 - logcount_predictions_loss: 0.2670 456/2487 [====>.........................] - ETA: 4:42 - loss: 591.9869 - logits_profile_predictions_loss: 586.4606 - logcount_predictions_loss: 0.2670 457/2487 [====>.........................] - ETA: 4:42 - loss: 591.9894 - logits_profile_predictions_loss: 586.4633 - logcount_predictions_loss: 0.2670 458/2487 [====>.........................] - ETA: 4:42 - loss: 591.9919 - logits_profile_predictions_loss: 586.4659 - logcount_predictions_loss: 0.2670 459/2487 [====>.........................] - ETA: 4:42 - loss: 591.9944 - logits_profile_predictions_loss: 586.4685 - logcount_predictions_loss: 0.2669 460/2487 [====>.........................] - ETA: 4:42 - loss: 591.9971 - logits_profile_predictions_loss: 586.4713 - logcount_predictions_loss: 0.2669 461/2487 [====>.........................] - ETA: 4:42 - loss: 591.9996 - logits_profile_predictions_loss: 586.4739 - logcount_predictions_loss: 0.2669 462/2487 [====>.........................] - ETA: 4:41 - loss: 592.0025 - logits_profile_predictions_loss: 586.4769 - logcount_predictions_loss: 0.2669 463/2487 [====>.........................] - ETA: 4:41 - loss: 592.0050 - logits_profile_predictions_loss: 586.4795 - logcount_predictions_loss: 0.2669 464/2487 [====>.........................] - ETA: 4:41 - loss: 592.0075 - logits_profile_predictions_loss: 586.4821 - logcount_predictions_loss: 0.2669 465/2487 [====>.........................] - ETA: 4:41 - loss: 592.0099 - logits_profile_predictions_loss: 586.4847 - logcount_predictions_loss: 0.2669 466/2487 [====>.........................] - ETA: 4:41 - loss: 592.0121 - logits_profile_predictions_loss: 586.4869 - logcount_predictions_loss: 0.2669 467/2487 [====>.........................] - ETA: 4:41 - loss: 592.0143 - logits_profile_predictions_loss: 586.4893 - logcount_predictions_loss: 0.2669 468/2487 [====>.........................] - ETA: 4:41 - loss: 592.0168 - logits_profile_predictions_loss: 586.4920 - logcount_predictions_loss: 0.2669 469/2487 [====>.........................] - ETA: 4:40 - loss: 592.0195 - logits_profile_predictions_loss: 586.4949 - logcount_predictions_loss: 0.2669 470/2487 [====>.........................] - ETA: 4:40 - loss: 592.0221 - logits_profile_predictions_loss: 586.4976 - logcount_predictions_loss: 0.2669 471/2487 [====>.........................] - ETA: 4:40 - loss: 592.0247 - logits_profile_predictions_loss: 586.5003 - logcount_predictions_loss: 0.2669 472/2487 [====>.........................] - ETA: 4:40 - loss: 592.0273 - logits_profile_predictions_loss: 586.5030 - logcount_predictions_loss: 0.2669 473/2487 [====>.........................] - ETA: 4:40 - loss: 592.0295 - logits_profile_predictions_loss: 586.5054 - logcount_predictions_loss: 0.2669 474/2487 [====>.........................] - ETA: 4:40 - loss: 592.0318 - logits_profile_predictions_loss: 586.5078 - logcount_predictions_loss: 0.2669 475/2487 [====>.........................] - ETA: 4:40 - loss: 592.0339 - logits_profile_predictions_loss: 586.5101 - logcount_predictions_loss: 0.2668 476/2487 [====>.........................] - ETA: 4:39 - loss: 592.0361 - logits_profile_predictions_loss: 586.5125 - logcount_predictions_loss: 0.2668 477/2487 [====>.........................] - ETA: 4:39 - loss: 592.0379 - logits_profile_predictions_loss: 586.5144 - logcount_predictions_loss: 0.2668 478/2487 [====>.........................] - ETA: 4:39 - loss: 592.0395 - logits_profile_predictions_loss: 586.5161 - logcount_predictions_loss: 0.2668 479/2487 [====>.........................] - ETA: 4:39 - loss: 592.0410 - logits_profile_predictions_loss: 586.5178 - logcount_predictions_loss: 0.2668 480/2487 [====>.........................] - ETA: 4:39 - loss: 592.0428 - logits_profile_predictions_loss: 586.5198 - logcount_predictions_loss: 0.2668 481/2487 [====>.........................] - ETA: 4:39 - loss: 592.0446 - logits_profile_predictions_loss: 586.5217 - logcount_predictions_loss: 0.2668 482/2487 [====>.........................] - ETA: 4:39 - loss: 592.0460 - logits_profile_predictions_loss: 586.5233 - logcount_predictions_loss: 0.2668 483/2487 [====>.........................] - ETA: 4:38 - loss: 592.0477 - logits_profile_predictions_loss: 586.5251 - logcount_predictions_loss: 0.2668 484/2487 [====>.........................] - ETA: 4:38 - loss: 592.0494 - logits_profile_predictions_loss: 586.5270 - logcount_predictions_loss: 0.2668 485/2487 [====>.........................] - ETA: 4:38 - loss: 592.0513 - logits_profile_predictions_loss: 586.5290 - logcount_predictions_loss: 0.2668 486/2487 [====>.........................] - ETA: 4:38 - loss: 592.0529 - logits_profile_predictions_loss: 586.5307 - logcount_predictions_loss: 0.2668 487/2487 [====>.........................] - ETA: 4:38 - loss: 592.0546 - logits_profile_predictions_loss: 586.5326 - logcount_predictions_loss: 0.2668 488/2487 [====>.........................] - ETA: 4:38 - loss: 592.0561 - logits_profile_predictions_loss: 586.5343 - logcount_predictions_loss: 0.2667 489/2487 [====>.........................] - ETA: 4:38 - loss: 592.0575 - logits_profile_predictions_loss: 586.5357 - logcount_predictions_loss: 0.2667 490/2487 [====>.........................] - ETA: 4:37 - loss: 592.0590 - logits_profile_predictions_loss: 586.5374 - logcount_predictions_loss: 0.2667 491/2487 [====>.........................] - ETA: 4:37 - loss: 592.0605 - logits_profile_predictions_loss: 586.5391 - logcount_predictions_loss: 0.2667 492/2487 [====>.........................] - ETA: 4:37 - loss: 592.0621 - 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[=====>........................] - ETA: 4:36 - loss: 592.0718 - logits_profile_predictions_loss: 586.5515 - logcount_predictions_loss: 0.2667 500/2487 [=====>........................] - ETA: 4:36 - loss: 592.0731 - logits_profile_predictions_loss: 586.5528 - logcount_predictions_loss: 0.2667 501/2487 [=====>........................] - ETA: 4:36 - loss: 592.0741 - logits_profile_predictions_loss: 586.5539 - logcount_predictions_loss: 0.2667 502/2487 [=====>........................] - ETA: 4:36 - loss: 592.0748 - logits_profile_predictions_loss: 586.5548 - logcount_predictions_loss: 0.2667 503/2487 [=====>........................] - ETA: 4:36 - loss: 592.0754 - logits_profile_predictions_loss: 586.5555 - logcount_predictions_loss: 0.2667 504/2487 [=====>........................] - ETA: 4:36 - loss: 592.0762 - logits_profile_predictions_loss: 586.5564 - logcount_predictions_loss: 0.2667 505/2487 [=====>........................] - ETA: 4:35 - loss: 592.0771 - logits_profile_predictions_loss: 586.5573 - logcount_predictions_loss: 0.2666 506/2487 [=====>........................] - ETA: 4:35 - loss: 592.0778 - logits_profile_predictions_loss: 586.5581 - logcount_predictions_loss: 0.2666 507/2487 [=====>........................] - ETA: 4:35 - loss: 592.0782 - logits_profile_predictions_loss: 586.5586 - logcount_predictions_loss: 0.2666 508/2487 [=====>........................] - ETA: 4:35 - loss: 592.0788 - logits_profile_predictions_loss: 586.5593 - logcount_predictions_loss: 0.2666 509/2487 [=====>........................] - ETA: 4:35 - loss: 592.0791 - logits_profile_predictions_loss: 586.5597 - logcount_predictions_loss: 0.2666 510/2487 [=====>........................] - ETA: 4:35 - loss: 592.0792 - logits_profile_predictions_loss: 586.5599 - logcount_predictions_loss: 0.2666 511/2487 [=====>........................] - ETA: 4:35 - loss: 592.0795 - logits_profile_predictions_loss: 586.5603 - logcount_predictions_loss: 0.2666 512/2487 [=====>........................] - ETA: 4:34 - loss: 592.0797 - logits_profile_predictions_loss: 586.5606 - logcount_predictions_loss: 0.2666 513/2487 [=====>........................] - ETA: 4:34 - loss: 592.0800 - logits_profile_predictions_loss: 586.5609 - logcount_predictions_loss: 0.2666 514/2487 [=====>........................] - ETA: 4:34 - loss: 592.0802 - logits_profile_predictions_loss: 586.5612 - logcount_predictions_loss: 0.2666 515/2487 [=====>........................] - ETA: 4:34 - loss: 592.0808 - logits_profile_predictions_loss: 586.5619 - logcount_predictions_loss: 0.2666 516/2487 [=====>........................] - ETA: 4:34 - loss: 592.0817 - logits_profile_predictions_loss: 586.5628 - logcount_predictions_loss: 0.2666 517/2487 [=====>........................] - ETA: 4:34 - loss: 592.0825 - logits_profile_predictions_loss: 586.5636 - logcount_predictions_loss: 0.2666 518/2487 [=====>........................] - ETA: 4:34 - loss: 592.0831 - logits_profile_predictions_loss: 586.5644 - logcount_predictions_loss: 0.2666 519/2487 [=====>........................] - ETA: 4:34 - loss: 592.0841 - logits_profile_predictions_loss: 586.5654 - logcount_predictions_loss: 0.2666 520/2487 [=====>........................] - ETA: 4:33 - loss: 592.0851 - logits_profile_predictions_loss: 586.5664 - logcount_predictions_loss: 0.2666 521/2487 [=====>........................] - ETA: 4:33 - loss: 592.0861 - logits_profile_predictions_loss: 586.5675 - logcount_predictions_loss: 0.2666 522/2487 [=====>........................] - ETA: 4:33 - loss: 592.0876 - logits_profile_predictions_loss: 586.5690 - logcount_predictions_loss: 0.2666 523/2487 [=====>........................] - ETA: 4:33 - loss: 592.0888 - logits_profile_predictions_loss: 586.5702 - logcount_predictions_loss: 0.2666 524/2487 [=====>........................] - ETA: 4:33 - loss: 592.0900 - logits_profile_predictions_loss: 586.5715 - logcount_predictions_loss: 0.2666 525/2487 [=====>........................] - ETA: 4:33 - loss: 592.0915 - logits_profile_predictions_loss: 586.5731 - logcount_predictions_loss: 0.2666 526/2487 [=====>........................] - ETA: 4:33 - loss: 592.0934 - logits_profile_predictions_loss: 586.5750 - logcount_predictions_loss: 0.2666 527/2487 [=====>........................] - ETA: 4:32 - loss: 592.0952 - logits_profile_predictions_loss: 586.5768 - logcount_predictions_loss: 0.2666 528/2487 [=====>........................] - ETA: 4:32 - loss: 592.0970 - logits_profile_predictions_loss: 586.5786 - logcount_predictions_loss: 0.2666 529/2487 [=====>........................] - ETA: 4:32 - loss: 592.0988 - logits_profile_predictions_loss: 586.5804 - logcount_predictions_loss: 0.2666 530/2487 [=====>........................] - ETA: 4:32 - loss: 592.1006 - logits_profile_predictions_loss: 586.5823 - logcount_predictions_loss: 0.2666 531/2487 [=====>........................] - ETA: 4:32 - loss: 592.1023 - logits_profile_predictions_loss: 586.5841 - logcount_predictions_loss: 0.2666 532/2487 [=====>........................] - ETA: 4:32 - loss: 592.1041 - logits_profile_predictions_loss: 586.5858 - logcount_predictions_loss: 0.2666 533/2487 [=====>........................] - ETA: 4:32 - loss: 592.1056 - logits_profile_predictions_loss: 586.5874 - logcount_predictions_loss: 0.2666 534/2487 [=====>........................] - ETA: 4:31 - loss: 592.1069 - logits_profile_predictions_loss: 586.5887 - logcount_predictions_loss: 0.2666 535/2487 [=====>........................] - ETA: 4:31 - loss: 592.1081 - logits_profile_predictions_loss: 586.5899 - logcount_predictions_loss: 0.2666 536/2487 [=====>........................] - ETA: 4:31 - loss: 592.1094 - logits_profile_predictions_loss: 586.5913 - logcount_predictions_loss: 0.2666 537/2487 [=====>........................] - ETA: 4:31 - loss: 592.1107 - logits_profile_predictions_loss: 586.5926 - logcount_predictions_loss: 0.2666 538/2487 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val_logits_profile_predictions_loss: 591.3506 - val_logcount_predictions_loss: 0.2776 + +Epoch 00011: val_loss did not improve from 594.34058 +Epoch 12/50 + 1/2487 [..............................] - ETA: 6:27 - loss: 586.9714 - logits_profile_predictions_loss: 581.3621 - logcount_predictions_loss: 0.2710 2/2487 [..............................] - ETA: 5:46 - loss: 607.4492 - logits_profile_predictions_loss: 601.6955 - logcount_predictions_loss: 0.2780 3/2487 [..............................] - ETA: 5:46 - loss: 622.9193 - logits_profile_predictions_loss: 617.1327 - logcount_predictions_loss: 0.2795 4/2487 [..............................] - ETA: 5:45 - loss: 626.7486 - logits_profile_predictions_loss: 621.0213 - logcount_predictions_loss: 0.2767 5/2487 [..............................] - ETA: 5:45 - loss: 627.3282 - logits_profile_predictions_loss: 621.6308 - logcount_predictions_loss: 0.2752 6/2487 [..............................] - ETA: 5:45 - loss: 625.8561 - logits_profile_predictions_loss: 620.2381 - logcount_predictions_loss: 0.2714 7/2487 [..............................] - ETA: 5:45 - loss: 623.2043 - logits_profile_predictions_loss: 617.6348 - logcount_predictions_loss: 0.2691 8/2487 [..............................] - ETA: 5:45 - loss: 620.8887 - logits_profile_predictions_loss: 615.3583 - logcount_predictions_loss: 0.2672 9/2487 [..............................] - ETA: 5:45 - loss: 618.9984 - logits_profile_predictions_loss: 613.5104 - logcount_predictions_loss: 0.2651 10/2487 [..............................] - ETA: 5:44 - loss: 616.9193 - logits_profile_predictions_loss: 611.4463 - logcount_predictions_loss: 0.2644 11/2487 [..............................] - ETA: 5:44 - loss: 614.5162 - logits_profile_predictions_loss: 609.0500 - logcount_predictions_loss: 0.2641 12/2487 [..............................] - ETA: 5:44 - loss: 612.8714 - logits_profile_predictions_loss: 607.4150 - logcount_predictions_loss: 0.2636 13/2487 [..............................] - ETA: 5:44 - loss: 611.5082 - logits_profile_predictions_loss: 606.0624 - logcount_predictions_loss: 0.2631 14/2487 [..............................] - ETA: 5:44 - loss: 610.2294 - logits_profile_predictions_loss: 604.7928 - logcount_predictions_loss: 0.2626 15/2487 [..............................] - ETA: 5:44 - loss: 609.1215 - logits_profile_predictions_loss: 603.7005 - logcount_predictions_loss: 0.2619 16/2487 [..............................] - ETA: 5:43 - loss: 607.8237 - logits_profile_predictions_loss: 602.4223 - logcount_predictions_loss: 0.2609 17/2487 [..............................] - ETA: 5:43 - loss: 606.8019 - logits_profile_predictions_loss: 601.4229 - logcount_predictions_loss: 0.2599 18/2487 [..............................] - ETA: 5:43 - loss: 605.8152 - logits_profile_predictions_loss: 600.4579 - logcount_predictions_loss: 0.2588 19/2487 [..............................] - ETA: 5:43 - loss: 604.7362 - logits_profile_predictions_loss: 599.3998 - logcount_predictions_loss: 0.2578 20/2487 [..............................] - ETA: 5:43 - loss: 603.4510 - logits_profile_predictions_loss: 598.1326 - logcount_predictions_loss: 0.2569 21/2487 [..............................] - ETA: 5:43 - loss: 602.2232 - logits_profile_predictions_loss: 596.9176 - logcount_predictions_loss: 0.2563 22/2487 [..............................] - ETA: 5:43 - loss: 601.1879 - logits_profile_predictions_loss: 595.8958 - logcount_predictions_loss: 0.2557 23/2487 [..............................] - ETA: 5:43 - loss: 600.1706 - logits_profile_predictions_loss: 594.8905 - logcount_predictions_loss: 0.2551 24/2487 [..............................] - ETA: 5:42 - loss: 599.1671 - logits_profile_predictions_loss: 593.8987 - logcount_predictions_loss: 0.2545 25/2487 [..............................] - ETA: 5:42 - loss: 598.1548 - logits_profile_predictions_loss: 592.8992 - logcount_predictions_loss: 0.2539 26/2487 [..............................] - ETA: 5:42 - loss: 597.1581 - logits_profile_predictions_loss: 591.9119 - logcount_predictions_loss: 0.2534 27/2487 [..............................] - ETA: 5:42 - loss: 596.1676 - logits_profile_predictions_loss: 590.9270 - logcount_predictions_loss: 0.2532 28/2487 [..............................] - ETA: 5:42 - loss: 595.1966 - logits_profile_predictions_loss: 589.9619 - logcount_predictions_loss: 0.2529 29/2487 [..............................] - ETA: 5:42 - loss: 594.3037 - logits_profile_predictions_loss: 589.0736 - logcount_predictions_loss: 0.2527 30/2487 [..............................] - ETA: 5:42 - loss: 593.5259 - logits_profile_predictions_loss: 588.3020 - logcount_predictions_loss: 0.2524 31/2487 [..............................] - ETA: 5:42 - loss: 592.8263 - logits_profile_predictions_loss: 587.6085 - logcount_predictions_loss: 0.2521 32/2487 [..............................] - ETA: 5:42 - loss: 592.2081 - logits_profile_predictions_loss: 586.9982 - logcount_predictions_loss: 0.2517 33/2487 [..............................] - ETA: 5:41 - loss: 591.6788 - logits_profile_predictions_loss: 586.4760 - logcount_predictions_loss: 0.2513 34/2487 [..............................] - ETA: 5:41 - loss: 591.1901 - logits_profile_predictions_loss: 585.9930 - logcount_predictions_loss: 0.2511 35/2487 [..............................] - ETA: 5:41 - loss: 590.6819 - logits_profile_predictions_loss: 585.4913 - logcount_predictions_loss: 0.2508 36/2487 [..............................] - ETA: 5:41 - loss: 590.2180 - logits_profile_predictions_loss: 585.0320 - logcount_predictions_loss: 0.2505 37/2487 [..............................] - ETA: 5:41 - loss: 589.7456 - logits_profile_predictions_loss: 584.5646 - logcount_predictions_loss: 0.2503 38/2487 [..............................] - ETA: 5:41 - loss: 589.2798 - logits_profile_predictions_loss: 584.1030 - logcount_predictions_loss: 0.2501 39/2487 [..............................] - ETA: 5:41 - loss: 588.8340 - logits_profile_predictions_loss: 583.6616 - logcount_predictions_loss: 0.2499 40/2487 [..............................] - ETA: 5:41 - loss: 588.3907 - logits_profile_predictions_loss: 583.2209 - logcount_predictions_loss: 0.2498 41/2487 [..............................] - ETA: 5:40 - loss: 588.0241 - logits_profile_predictions_loss: 582.8564 - logcount_predictions_loss: 0.2496 42/2487 [..............................] - ETA: 5:40 - loss: 587.6778 - logits_profile_predictions_loss: 582.5130 - logcount_predictions_loss: 0.2495 43/2487 [..............................] - ETA: 5:40 - loss: 587.4179 - logits_profile_predictions_loss: 582.2558 - logcount_predictions_loss: 0.2494 44/2487 [..............................] - ETA: 5:40 - loss: 587.1840 - logits_profile_predictions_loss: 582.0241 - logcount_predictions_loss: 0.2493 45/2487 [..............................] - ETA: 5:40 - loss: 586.9510 - logits_profile_predictions_loss: 581.7936 - logcount_predictions_loss: 0.2491 46/2487 [..............................] - ETA: 5:40 - loss: 586.7820 - logits_profile_predictions_loss: 581.6267 - logcount_predictions_loss: 0.2490 47/2487 [..............................] - ETA: 5:40 - loss: 586.6252 - logits_profile_predictions_loss: 581.4718 - logcount_predictions_loss: 0.2490 48/2487 [..............................] - ETA: 5:39 - loss: 586.4751 - logits_profile_predictions_loss: 581.3234 - logcount_predictions_loss: 0.2489 49/2487 [..............................] - ETA: 5:39 - loss: 586.3482 - logits_profile_predictions_loss: 581.1978 - logcount_predictions_loss: 0.2488 50/2487 [..............................] - ETA: 5:39 - loss: 586.2504 - logits_profile_predictions_loss: 581.1018 - logcount_predictions_loss: 0.2487 51/2487 [..............................] - ETA: 5:39 - loss: 586.1674 - logits_profile_predictions_loss: 581.0203 - logcount_predictions_loss: 0.2487 52/2487 [..............................] - ETA: 5:39 - loss: 586.1046 - logits_profile_predictions_loss: 580.9588 - logcount_predictions_loss: 0.2486 53/2487 [..............................] - ETA: 5:39 - loss: 586.0333 - logits_profile_predictions_loss: 580.8888 - logcount_predictions_loss: 0.2485 54/2487 [..............................] - ETA: 5:39 - loss: 585.9751 - logits_profile_predictions_loss: 580.8323 - logcount_predictions_loss: 0.2484 55/2487 [..............................] - ETA: 5:38 - loss: 585.9552 - logits_profile_predictions_loss: 580.8139 - logcount_predictions_loss: 0.2484 56/2487 [..............................] - ETA: 5:38 - loss: 585.9300 - logits_profile_predictions_loss: 580.7894 - logcount_predictions_loss: 0.2483 57/2487 [..............................] - ETA: 5:38 - loss: 585.8974 - logits_profile_predictions_loss: 580.7580 - logcount_predictions_loss: 0.2483 58/2487 [..............................] - ETA: 5:38 - loss: 585.8789 - logits_profile_predictions_loss: 580.7404 - logcount_predictions_loss: 0.2482 59/2487 [..............................] - ETA: 5:38 - loss: 585.8961 - logits_profile_predictions_loss: 580.7584 - logcount_predictions_loss: 0.2482 60/2487 [..............................] - ETA: 5:38 - loss: 585.9098 - logits_profile_predictions_loss: 580.7729 - logcount_predictions_loss: 0.2482 61/2487 [..............................] - ETA: 5:38 - loss: 585.9118 - logits_profile_predictions_loss: 580.7760 - logcount_predictions_loss: 0.2481 62/2487 [..............................] - ETA: 5:38 - loss: 585.9020 - logits_profile_predictions_loss: 580.7672 - logcount_predictions_loss: 0.2481 63/2487 [..............................] - ETA: 5:37 - loss: 585.8895 - logits_profile_predictions_loss: 580.7557 - logcount_predictions_loss: 0.2480 64/2487 [..............................] - ETA: 5:37 - loss: 585.8762 - logits_profile_predictions_loss: 580.7433 - logcount_predictions_loss: 0.2480 65/2487 [..............................] - ETA: 5:37 - loss: 585.8626 - logits_profile_predictions_loss: 580.7297 - logcount_predictions_loss: 0.2480 66/2487 [..............................] - ETA: 5:37 - loss: 585.8327 - logits_profile_predictions_loss: 580.6997 - logcount_predictions_loss: 0.2480 67/2487 [..............................] - ETA: 5:37 - loss: 585.7921 - logits_profile_predictions_loss: 580.6587 - logcount_predictions_loss: 0.2480 68/2487 [..............................] - ETA: 5:37 - loss: 585.7604 - logits_profile_predictions_loss: 580.6269 - logcount_predictions_loss: 0.2480 69/2487 [..............................] - ETA: 5:37 - loss: 585.7239 - logits_profile_predictions_loss: 580.5906 - logcount_predictions_loss: 0.2480 70/2487 [..............................] - ETA: 5:36 - loss: 585.6714 - logits_profile_predictions_loss: 580.5379 - logcount_predictions_loss: 0.2480 71/2487 [..............................] - ETA: 5:36 - loss: 585.6176 - logits_profile_predictions_loss: 580.4843 - logcount_predictions_loss: 0.2480 72/2487 [..............................] - ETA: 5:36 - loss: 585.5674 - logits_profile_predictions_loss: 580.4342 - logcount_predictions_loss: 0.2480 73/2487 [..............................] - ETA: 5:36 - loss: 585.5329 - logits_profile_predictions_loss: 580.3997 - logcount_predictions_loss: 0.2480 74/2487 [..............................] - ETA: 5:36 - loss: 585.4955 - logits_profile_predictions_loss: 580.3627 - logcount_predictions_loss: 0.2480 75/2487 [..............................] - ETA: 5:36 - loss: 585.4656 - logits_profile_predictions_loss: 580.3332 - logcount_predictions_loss: 0.2479 76/2487 [..............................] - ETA: 5:36 - loss: 585.4346 - logits_profile_predictions_loss: 580.3025 - logcount_predictions_loss: 0.2479 77/2487 [..............................] - ETA: 5:35 - loss: 585.4123 - logits_profile_predictions_loss: 580.2800 - logcount_predictions_loss: 0.2479 78/2487 [..............................] - ETA: 5:35 - loss: 585.3896 - logits_profile_predictions_loss: 580.2572 - logcount_predictions_loss: 0.2479 79/2487 [..............................] - ETA: 5:35 - loss: 585.3614 - logits_profile_predictions_loss: 580.2288 - logcount_predictions_loss: 0.2480 80/2487 [..............................] - ETA: 5:35 - loss: 585.3301 - logits_profile_predictions_loss: 580.1973 - logcount_predictions_loss: 0.2480 81/2487 [..............................] - ETA: 5:35 - loss: 585.3058 - logits_profile_predictions_loss: 580.1728 - logcount_predictions_loss: 0.2480 82/2487 [..............................] - ETA: 5:35 - loss: 585.2977 - logits_profile_predictions_loss: 580.1645 - logcount_predictions_loss: 0.2480 83/2487 [>.............................] - ETA: 5:35 - loss: 585.2937 - logits_profile_predictions_loss: 580.1605 - logcount_predictions_loss: 0.2480 84/2487 [>.............................] - ETA: 5:34 - loss: 585.3001 - logits_profile_predictions_loss: 580.1669 - logcount_predictions_loss: 0.2480 85/2487 [>.............................] - ETA: 5:34 - loss: 585.3179 - logits_profile_predictions_loss: 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loss: 585.5063 - logits_profile_predictions_loss: 580.3706 - logcount_predictions_loss: 0.2481 93/2487 [>.............................] - ETA: 5:33 - loss: 585.5379 - logits_profile_predictions_loss: 580.4018 - logcount_predictions_loss: 0.2481 94/2487 [>.............................] - ETA: 5:33 - loss: 585.5623 - logits_profile_predictions_loss: 580.4255 - logcount_predictions_loss: 0.2482 95/2487 [>.............................] - ETA: 5:33 - loss: 585.5904 - logits_profile_predictions_loss: 580.4528 - logcount_predictions_loss: 0.2482 96/2487 [>.............................] - ETA: 5:33 - loss: 585.6184 - logits_profile_predictions_loss: 580.4801 - logcount_predictions_loss: 0.2482 97/2487 [>.............................] - ETA: 5:33 - loss: 585.6423 - logits_profile_predictions_loss: 580.5033 - logcount_predictions_loss: 0.2483 98/2487 [>.............................] - ETA: 5:33 - loss: 585.6675 - logits_profile_predictions_loss: 580.5278 - logcount_predictions_loss: 0.2483 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logits_profile_predictions_loss: 580.6876 - logcount_predictions_loss: 0.2485 106/2487 [>.............................] - ETA: 5:32 - loss: 585.8618 - logits_profile_predictions_loss: 580.7176 - logcount_predictions_loss: 0.2485 107/2487 [>.............................] - ETA: 5:31 - loss: 585.8856 - logits_profile_predictions_loss: 580.7409 - logcount_predictions_loss: 0.2485 108/2487 [>.............................] - ETA: 5:31 - loss: 585.9053 - logits_profile_predictions_loss: 580.7603 - logcount_predictions_loss: 0.2486 109/2487 [>.............................] - ETA: 5:31 - loss: 585.9247 - logits_profile_predictions_loss: 580.7795 - logcount_predictions_loss: 0.2486 110/2487 [>.............................] - ETA: 5:31 - loss: 585.9438 - logits_profile_predictions_loss: 580.7983 - logcount_predictions_loss: 0.2486 111/2487 [>.............................] - ETA: 5:31 - loss: 585.9613 - logits_profile_predictions_loss: 580.8155 - logcount_predictions_loss: 0.2486 112/2487 [>.............................] - ETA: 5:31 - loss: 585.9799 - logits_profile_predictions_loss: 580.8338 - logcount_predictions_loss: 0.2486 113/2487 [>.............................] - ETA: 5:31 - loss: 586.0026 - logits_profile_predictions_loss: 580.8561 - logcount_predictions_loss: 0.2486 114/2487 [>.............................] - ETA: 5:31 - loss: 586.0231 - logits_profile_predictions_loss: 580.8763 - logcount_predictions_loss: 0.2486 115/2487 [>.............................] - ETA: 5:30 - loss: 586.0445 - logits_profile_predictions_loss: 580.8975 - logcount_predictions_loss: 0.2487 116/2487 [>.............................] - ETA: 5:30 - loss: 586.0662 - logits_profile_predictions_loss: 580.9190 - logcount_predictions_loss: 0.2487 117/2487 [>.............................] - ETA: 5:30 - loss: 586.0950 - logits_profile_predictions_loss: 580.9476 - logcount_predictions_loss: 0.2487 118/2487 [>.............................] - ETA: 5:30 - loss: 586.1218 - logits_profile_predictions_loss: 580.9743 - logcount_predictions_loss: 0.2487 119/2487 [>.............................] - ETA: 5:30 - loss: 586.1465 - logits_profile_predictions_loss: 580.9989 - logcount_predictions_loss: 0.2487 120/2487 [>.............................] - ETA: 5:30 - loss: 586.1738 - logits_profile_predictions_loss: 581.0261 - logcount_predictions_loss: 0.2487 121/2487 [>.............................] - ETA: 5:30 - loss: 586.2002 - logits_profile_predictions_loss: 581.0525 - logcount_predictions_loss: 0.2487 122/2487 [>.............................] - ETA: 5:29 - loss: 586.2280 - logits_profile_predictions_loss: 581.0802 - logcount_predictions_loss: 0.2487 123/2487 [>.............................] - ETA: 5:29 - loss: 586.2601 - logits_profile_predictions_loss: 581.1122 - logcount_predictions_loss: 0.2487 124/2487 [>.............................] - ETA: 5:29 - loss: 586.2899 - logits_profile_predictions_loss: 581.1420 - logcount_predictions_loss: 0.2487 125/2487 [>.............................] - ETA: 5:29 - loss: 586.3226 - logits_profile_predictions_loss: 581.1747 - logcount_predictions_loss: 0.2487 126/2487 [>.............................] - ETA: 5:29 - loss: 586.3596 - logits_profile_predictions_loss: 581.2116 - logcount_predictions_loss: 0.2487 127/2487 [>.............................] - ETA: 5:29 - loss: 586.3982 - logits_profile_predictions_loss: 581.2501 - logcount_predictions_loss: 0.2487 128/2487 [>.............................] - ETA: 5:29 - loss: 586.4360 - logits_profile_predictions_loss: 581.2878 - logcount_predictions_loss: 0.2487 129/2487 [>.............................] - ETA: 5:29 - loss: 586.4735 - logits_profile_predictions_loss: 581.3251 - logcount_predictions_loss: 0.2487 130/2487 [>.............................] - ETA: 5:28 - loss: 586.5108 - logits_profile_predictions_loss: 581.3621 - logcount_predictions_loss: 0.2487 131/2487 [>.............................] - ETA: 5:28 - loss: 586.5513 - logits_profile_predictions_loss: 581.4024 - logcount_predictions_loss: 0.2487 132/2487 [>.............................] - ETA: 5:28 - loss: 586.5885 - logits_profile_predictions_loss: 581.4396 - logcount_predictions_loss: 0.2487 133/2487 [>.............................] - ETA: 5:28 - loss: 586.6240 - logits_profile_predictions_loss: 581.4750 - logcount_predictions_loss: 0.2487 134/2487 [>.............................] - ETA: 5:28 - loss: 586.6570 - logits_profile_predictions_loss: 581.5081 - logcount_predictions_loss: 0.2487 135/2487 [>.............................] - ETA: 5:28 - loss: 586.6890 - logits_profile_predictions_loss: 581.5401 - logcount_predictions_loss: 0.2487 136/2487 [>.............................] - ETA: 5:28 - loss: 586.7172 - logits_profile_predictions_loss: 581.5684 - logcount_predictions_loss: 0.2487 137/2487 [>.............................] - ETA: 5:27 - loss: 586.7437 - logits_profile_predictions_loss: 581.5950 - logcount_predictions_loss: 0.2487 138/2487 [>.............................] - ETA: 5:27 - loss: 586.7662 - logits_profile_predictions_loss: 581.6176 - logcount_predictions_loss: 0.2487 139/2487 [>.............................] - ETA: 5:27 - loss: 586.7909 - logits_profile_predictions_loss: 581.6423 - logcount_predictions_loss: 0.2487 140/2487 [>.............................] - ETA: 5:27 - loss: 586.8123 - logits_profile_predictions_loss: 581.6636 - logcount_predictions_loss: 0.2487 141/2487 [>.............................] - ETA: 5:27 - loss: 586.8323 - logits_profile_predictions_loss: 581.6835 - logcount_predictions_loss: 0.2487 142/2487 [>.............................] - ETA: 5:27 - loss: 586.8476 - logits_profile_predictions_loss: 581.6986 - logcount_predictions_loss: 0.2487 143/2487 [>.............................] - ETA: 5:27 - loss: 586.8624 - logits_profile_predictions_loss: 581.7132 - logcount_predictions_loss: 0.2488 144/2487 [>.............................] - ETA: 5:26 - loss: 586.8731 - logits_profile_predictions_loss: 581.7237 - logcount_predictions_loss: 0.2488 145/2487 [>.............................] - ETA: 5:26 - loss: 586.8863 - logits_profile_predictions_loss: 581.7368 - logcount_predictions_loss: 0.2488 146/2487 [>.............................] - ETA: 5:26 - loss: 586.9024 - logits_profile_predictions_loss: 581.7528 - logcount_predictions_loss: 0.2488 147/2487 [>.............................] - ETA: 5:26 - loss: 586.9185 - logits_profile_predictions_loss: 581.7688 - logcount_predictions_loss: 0.2488 148/2487 [>.............................] - ETA: 5:26 - loss: 586.9367 - logits_profile_predictions_loss: 581.7870 - logcount_predictions_loss: 0.2488 149/2487 [>.............................] - ETA: 5:26 - loss: 586.9532 - logits_profile_predictions_loss: 581.8034 - logcount_predictions_loss: 0.2488 150/2487 [>.............................] - ETA: 5:26 - loss: 586.9709 - logits_profile_predictions_loss: 581.8211 - logcount_predictions_loss: 0.2488 151/2487 [>.............................] - ETA: 5:25 - loss: 586.9928 - logits_profile_predictions_loss: 581.8429 - logcount_predictions_loss: 0.2488 152/2487 [>.............................] - ETA: 5:25 - loss: 587.0188 - logits_profile_predictions_loss: 581.8688 - logcount_predictions_loss: 0.2488 153/2487 [>.............................] - ETA: 5:25 - loss: 587.0390 - logits_profile_predictions_loss: 581.8888 - logcount_predictions_loss: 0.2488 154/2487 [>.............................] - ETA: 5:25 - loss: 587.0636 - logits_profile_predictions_loss: 581.9132 - logcount_predictions_loss: 0.2488 155/2487 [>.............................] - ETA: 5:25 - loss: 587.0908 - logits_profile_predictions_loss: 581.9403 - logcount_predictions_loss: 0.2488 156/2487 [>.............................] - ETA: 5:25 - loss: 587.1163 - logits_profile_predictions_loss: 581.9657 - logcount_predictions_loss: 0.2488 157/2487 [>.............................] - ETA: 5:25 - loss: 587.1440 - logits_profile_predictions_loss: 581.9934 - logcount_predictions_loss: 0.2488 158/2487 [>.............................] - ETA: 5:24 - loss: 587.1703 - logits_profile_predictions_loss: 582.0196 - logcount_predictions_loss: 0.2488 159/2487 [>.............................] - ETA: 5:24 - loss: 587.1932 - logits_profile_predictions_loss: 582.0425 - logcount_predictions_loss: 0.2488 160/2487 [>.............................] - ETA: 5:24 - loss: 587.2162 - logits_profile_predictions_loss: 582.0657 - logcount_predictions_loss: 0.2488 161/2487 [>.............................] - ETA: 5:24 - loss: 587.2403 - logits_profile_predictions_loss: 582.0898 - logcount_predictions_loss: 0.2488 162/2487 [>.............................] - ETA: 5:24 - loss: 587.2608 - logits_profile_predictions_loss: 582.1103 - logcount_predictions_loss: 0.2488 163/2487 [>.............................] - ETA: 5:24 - loss: 587.2798 - logits_profile_predictions_loss: 582.1294 - logcount_predictions_loss: 0.2488 164/2487 [>.............................] - ETA: 5:24 - loss: 587.2985 - logits_profile_predictions_loss: 582.1481 - logcount_predictions_loss: 0.2488 165/2487 [>.............................] - ETA: 5:24 - loss: 587.3162 - logits_profile_predictions_loss: 582.1658 - logcount_predictions_loss: 0.2488 166/2487 [=>............................] - ETA: 5:24 - loss: 587.3338 - logits_profile_predictions_loss: 582.1835 - logcount_predictions_loss: 0.2488 167/2487 [=>............................] - ETA: 5:23 - loss: 587.3497 - logits_profile_predictions_loss: 582.1993 - logcount_predictions_loss: 0.2488 168/2487 [=>............................] - ETA: 5:23 - loss: 587.3644 - logits_profile_predictions_loss: 582.2141 - logcount_predictions_loss: 0.2488 169/2487 [=>............................] - ETA: 5:23 - loss: 587.3798 - logits_profile_predictions_loss: 582.2294 - logcount_predictions_loss: 0.2488 170/2487 [=>............................] - ETA: 5:23 - loss: 587.3954 - logits_profile_predictions_loss: 582.2451 - logcount_predictions_loss: 0.2488 171/2487 [=>............................] - ETA: 5:23 - loss: 587.4109 - logits_profile_predictions_loss: 582.2607 - logcount_predictions_loss: 0.2488 172/2487 [=>............................] - ETA: 5:23 - loss: 587.4313 - logits_profile_predictions_loss: 582.2811 - logcount_predictions_loss: 0.2488 173/2487 [=>............................] - ETA: 5:23 - loss: 587.4499 - logits_profile_predictions_loss: 582.2998 - logcount_predictions_loss: 0.2488 174/2487 [=>............................] - ETA: 5:22 - loss: 587.4694 - logits_profile_predictions_loss: 582.3193 - logcount_predictions_loss: 0.2488 175/2487 [=>............................] - ETA: 5:22 - loss: 587.4896 - logits_profile_predictions_loss: 582.3396 - logcount_predictions_loss: 0.2488 176/2487 [=>............................] - ETA: 5:22 - loss: 587.5073 - logits_profile_predictions_loss: 582.3574 - logcount_predictions_loss: 0.2488 177/2487 [=>............................] - ETA: 5:22 - loss: 587.5232 - logits_profile_predictions_loss: 582.3734 - logcount_predictions_loss: 0.2488 178/2487 [=>............................] - ETA: 5:22 - loss: 587.5375 - logits_profile_predictions_loss: 582.3877 - logcount_predictions_loss: 0.2488 179/2487 [=>............................] - ETA: 5:22 - loss: 587.5518 - logits_profile_predictions_loss: 582.4021 - logcount_predictions_loss: 0.2488 180/2487 [=>............................] - ETA: 5:22 - loss: 587.5660 - logits_profile_predictions_loss: 582.4163 - logcount_predictions_loss: 0.2488 181/2487 [=>............................] - ETA: 5:21 - loss: 587.5832 - logits_profile_predictions_loss: 582.4336 - logcount_predictions_loss: 0.2488 182/2487 [=>............................] - ETA: 5:21 - loss: 587.6019 - logits_profile_predictions_loss: 582.4524 - logcount_predictions_loss: 0.2488 183/2487 [=>............................] - ETA: 5:21 - loss: 587.6194 - logits_profile_predictions_loss: 582.4699 - logcount_predictions_loss: 0.2488 184/2487 [=>............................] - ETA: 5:21 - loss: 587.6344 - logits_profile_predictions_loss: 582.4849 - logcount_predictions_loss: 0.2488 185/2487 [=>............................] - ETA: 5:21 - loss: 587.6477 - logits_profile_predictions_loss: 582.4983 - logcount_predictions_loss: 0.2488 186/2487 [=>............................] - ETA: 5:21 - loss: 587.6613 - logits_profile_predictions_loss: 582.5120 - logcount_predictions_loss: 0.2488 187/2487 [=>............................] - ETA: 5:21 - loss: 587.6737 - logits_profile_predictions_loss: 582.5245 - logcount_predictions_loss: 0.2488 188/2487 [=>............................] - ETA: 5:21 - loss: 587.6828 - logits_profile_predictions_loss: 582.5335 - logcount_predictions_loss: 0.2488 189/2487 [=>............................] - ETA: 5:20 - loss: 587.6902 - logits_profile_predictions_loss: 582.5410 - logcount_predictions_loss: 0.2488 190/2487 [=>............................] - ETA: 5:20 - loss: 587.6964 - logits_profile_predictions_loss: 582.5473 - logcount_predictions_loss: 0.2488 191/2487 [=>............................] - ETA: 5:20 - loss: 587.7031 - logits_profile_predictions_loss: 582.5540 - logcount_predictions_loss: 0.2488 192/2487 [=>............................] - ETA: 5:20 - loss: 587.7101 - logits_profile_predictions_loss: 582.5611 - logcount_predictions_loss: 0.2487 193/2487 [=>............................] - ETA: 5:20 - loss: 587.7186 - logits_profile_predictions_loss: 582.5695 - logcount_predictions_loss: 0.2487 194/2487 [=>............................] - ETA: 5:20 - loss: 587.7278 - logits_profile_predictions_loss: 582.5788 - logcount_predictions_loss: 0.2487 195/2487 [=>............................] - ETA: 5:20 - loss: 587.7368 - logits_profile_predictions_loss: 582.5877 - logcount_predictions_loss: 0.2487 196/2487 [=>............................] - ETA: 5:19 - loss: 587.7468 - logits_profile_predictions_loss: 582.5978 - logcount_predictions_loss: 0.2487 197/2487 [=>............................] - ETA: 5:19 - loss: 587.7580 - logits_profile_predictions_loss: 582.6091 - logcount_predictions_loss: 0.2487 198/2487 [=>............................] - ETA: 5:19 - loss: 587.7702 - logits_profile_predictions_loss: 582.6213 - logcount_predictions_loss: 0.2487 199/2487 [=>............................] - ETA: 5:19 - loss: 587.7847 - logits_profile_predictions_loss: 582.6359 - logcount_predictions_loss: 0.2487 200/2487 [=>............................] - ETA: 5:19 - loss: 587.7993 - logits_profile_predictions_loss: 582.6505 - logcount_predictions_loss: 0.2487 201/2487 [=>............................] - ETA: 5:19 - loss: 587.8141 - logits_profile_predictions_loss: 582.6654 - logcount_predictions_loss: 0.2487 202/2487 [=>............................] - ETA: 5:19 - loss: 587.8273 - logits_profile_predictions_loss: 582.6788 - logcount_predictions_loss: 0.2487 203/2487 [=>............................] - ETA: 5:18 - loss: 587.8401 - logits_profile_predictions_loss: 582.6917 - logcount_predictions_loss: 0.2487 204/2487 [=>............................] - ETA: 5:18 - loss: 587.8543 - logits_profile_predictions_loss: 582.7061 - logcount_predictions_loss: 0.2487 205/2487 [=>............................] - ETA: 5:18 - loss: 587.8678 - logits_profile_predictions_loss: 582.7196 - logcount_predictions_loss: 0.2487 206/2487 [=>............................] - ETA: 5:18 - loss: 587.8804 - logits_profile_predictions_loss: 582.7323 - logcount_predictions_loss: 0.2487 207/2487 [=>............................] - ETA: 5:18 - loss: 587.8935 - logits_profile_predictions_loss: 582.7453 - logcount_predictions_loss: 0.2487 208/2487 [=>............................] - ETA: 5:18 - loss: 587.9057 - logits_profile_predictions_loss: 582.7576 - logcount_predictions_loss: 0.2487 209/2487 [=>............................] - ETA: 5:18 - loss: 587.9191 - logits_profile_predictions_loss: 582.7709 - logcount_predictions_loss: 0.2487 210/2487 [=>............................] - ETA: 5:17 - loss: 587.9340 - logits_profile_predictions_loss: 582.7858 - logcount_predictions_loss: 0.2487 211/2487 [=>............................] - ETA: 5:17 - loss: 587.9496 - logits_profile_predictions_loss: 582.8015 - logcount_predictions_loss: 0.2487 212/2487 [=>............................] - ETA: 5:17 - loss: 587.9652 - logits_profile_predictions_loss: 582.8171 - logcount_predictions_loss: 0.2487 213/2487 [=>............................] - ETA: 5:17 - loss: 587.9800 - logits_profile_predictions_loss: 582.8319 - logcount_predictions_loss: 0.2487 214/2487 [=>............................] - ETA: 5:17 - loss: 587.9936 - logits_profile_predictions_loss: 582.8455 - logcount_predictions_loss: 0.2487 215/2487 [=>............................] - ETA: 5:17 - loss: 588.0070 - logits_profile_predictions_loss: 582.8588 - logcount_predictions_loss: 0.2487 216/2487 [=>............................] - ETA: 5:16 - loss: 588.0203 - logits_profile_predictions_loss: 582.8721 - logcount_predictions_loss: 0.2487 217/2487 [=>............................] - ETA: 5:16 - loss: 588.0341 - logits_profile_predictions_loss: 582.8859 - logcount_predictions_loss: 0.2487 218/2487 [=>............................] - ETA: 5:16 - loss: 588.0480 - logits_profile_predictions_loss: 582.8998 - logcount_predictions_loss: 0.2487 219/2487 [=>............................] - ETA: 5:16 - loss: 588.0627 - logits_profile_predictions_loss: 582.9145 - logcount_predictions_loss: 0.2487 220/2487 [=>............................] - ETA: 5:16 - loss: 588.0787 - logits_profile_predictions_loss: 582.9306 - logcount_predictions_loss: 0.2487 221/2487 [=>............................] - ETA: 5:16 - loss: 588.0936 - logits_profile_predictions_loss: 582.9455 - logcount_predictions_loss: 0.2487 222/2487 [=>............................] - ETA: 5:16 - loss: 588.1078 - 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[=>............................] - ETA: 5:15 - loss: 588.2151 - logits_profile_predictions_loss: 583.0679 - logcount_predictions_loss: 0.2487 230/2487 [=>............................] - ETA: 5:15 - loss: 588.2327 - logits_profile_predictions_loss: 583.0857 - logcount_predictions_loss: 0.2487 231/2487 [=>............................] - ETA: 5:15 - loss: 588.2498 - logits_profile_predictions_loss: 583.1028 - logcount_predictions_loss: 0.2486 232/2487 [=>............................] - ETA: 5:14 - loss: 588.2661 - logits_profile_predictions_loss: 583.1192 - logcount_predictions_loss: 0.2486 233/2487 [=>............................] - ETA: 5:14 - loss: 588.2819 - logits_profile_predictions_loss: 583.1351 - logcount_predictions_loss: 0.2486 234/2487 [=>............................] - ETA: 5:14 - loss: 588.2969 - logits_profile_predictions_loss: 583.1502 - logcount_predictions_loss: 0.2486 235/2487 [=>............................] - ETA: 5:14 - loss: 588.3125 - 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[=>............................] - ETA: 5:13 - loss: 588.4132 - logits_profile_predictions_loss: 583.2671 - logcount_predictions_loss: 0.2486 243/2487 [=>............................] - ETA: 5:13 - loss: 588.4259 - logits_profile_predictions_loss: 583.2799 - logcount_predictions_loss: 0.2486 244/2487 [=>............................] - ETA: 5:13 - loss: 588.4387 - logits_profile_predictions_loss: 583.2926 - logcount_predictions_loss: 0.2486 245/2487 [=>............................] - ETA: 5:13 - loss: 588.4507 - logits_profile_predictions_loss: 583.3047 - logcount_predictions_loss: 0.2486 246/2487 [=>............................] - ETA: 5:13 - loss: 588.4642 - logits_profile_predictions_loss: 583.3182 - logcount_predictions_loss: 0.2486 247/2487 [=>............................] - ETA: 5:12 - loss: 588.4775 - logits_profile_predictions_loss: 583.3316 - logcount_predictions_loss: 0.2486 248/2487 [=>............................] - ETA: 5:12 - loss: 588.4902 - 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[============================>.] - ETA: 5s - loss: 587.2910 - logits_profile_predictions_loss: 582.2690 - logcount_predictions_loss: 0.2426 2447/2487 [============================>.] - ETA: 5s - loss: 587.2900 - logits_profile_predictions_loss: 582.2681 - logcount_predictions_loss: 0.2426 2448/2487 [============================>.] - ETA: 5s - loss: 587.2891 - logits_profile_predictions_loss: 582.2672 - logcount_predictions_loss: 0.2426 2449/2487 [============================>.] - ETA: 5s - loss: 587.2882 - logits_profile_predictions_loss: 582.2664 - logcount_predictions_loss: 0.2426 2450/2487 [============================>.] - ETA: 5s - loss: 587.2873 - logits_profile_predictions_loss: 582.2655 - logcount_predictions_loss: 0.2426 2451/2487 [============================>.] - ETA: 5s - loss: 587.2864 - logits_profile_predictions_loss: 582.2646 - logcount_predictions_loss: 0.2426 2452/2487 [============================>.] - ETA: 4s - loss: 587.2855 - logits_profile_predictions_loss: 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2466/2487 [============================>.] - ETA: 2s - loss: 587.2727 - logits_profile_predictions_loss: 582.2512 - logcount_predictions_loss: 0.2426 2467/2487 [============================>.] - ETA: 2s - loss: 587.2718 - logits_profile_predictions_loss: 582.2503 - logcount_predictions_loss: 0.2426 2468/2487 [============================>.] - ETA: 2s - loss: 587.2709 - logits_profile_predictions_loss: 582.2494 - logcount_predictions_loss: 0.2426 2469/2487 [============================>.] - ETA: 2s - loss: 587.2700 - logits_profile_predictions_loss: 582.2485 - logcount_predictions_loss: 0.2426 2470/2487 [============================>.] - ETA: 2s - loss: 587.2690 - logits_profile_predictions_loss: 582.2477 - logcount_predictions_loss: 0.2426 2471/2487 [============================>.] - ETA: 2s - loss: 587.2682 - logits_profile_predictions_loss: 582.2468 - logcount_predictions_loss: 0.2426 2472/2487 [============================>.] - ETA: 2s - loss: 587.2673 - logits_profile_predictions_loss: 582.2459 - logcount_predictions_loss: 0.2426 2473/2487 [============================>.] - ETA: 1s - loss: 587.2664 - logits_profile_predictions_loss: 582.2451 - logcount_predictions_loss: 0.2426 2474/2487 [============================>.] - ETA: 1s - loss: 587.2655 - logits_profile_predictions_loss: 582.2442 - logcount_predictions_loss: 0.2426 2475/2487 [============================>.] - ETA: 1s - loss: 587.2646 - logits_profile_predictions_loss: 582.2434 - logcount_predictions_loss: 0.2426 2476/2487 [============================>.] - ETA: 1s - loss: 587.2638 - logits_profile_predictions_loss: 582.2425 - logcount_predictions_loss: 0.2426 2477/2487 [============================>.] - ETA: 1s - loss: 587.2629 - logits_profile_predictions_loss: 582.2417 - logcount_predictions_loss: 0.2426 2478/2487 [============================>.] - ETA: 1s - loss: 587.2620 - logits_profile_predictions_loss: 582.2408 - logcount_predictions_loss: 0.2426 2479/2487 [============================>.] - ETA: 1s - loss: 587.2612 - logits_profile_predictions_loss: 582.2400 - logcount_predictions_loss: 0.2426 2480/2487 [============================>.] - ETA: 0s - loss: 587.2603 - logits_profile_predictions_loss: 582.2391 - logcount_predictions_loss: 0.2426 2481/2487 [============================>.] - ETA: 0s - loss: 587.2594 - logits_profile_predictions_loss: 582.2383 - logcount_predictions_loss: 0.2426 2482/2487 [============================>.] - ETA: 0s - loss: 587.2586 - logits_profile_predictions_loss: 582.2375 - logcount_predictions_loss: 0.2426 2483/2487 [============================>.] - ETA: 0s - loss: 587.2577 - logits_profile_predictions_loss: 582.2366 - logcount_predictions_loss: 0.2426 2484/2487 [============================>.] - ETA: 0s - loss: 587.2569 - logits_profile_predictions_loss: 582.2358 - logcount_predictions_loss: 0.2426 2485/2487 [============================>.] - ETA: 0s - loss: 587.2560 - logits_profile_predictions_loss: 582.2350 - logcount_predictions_loss: 0.2426 2486/2487 [============================>.] - ETA: 0s - loss: 587.2551 - logits_profile_predictions_loss: 582.2341 - logcount_predictions_loss: 0.2426 2487/2487 [==============================] - ETA: 0s - loss: 587.2543 - logits_profile_predictions_loss: 582.2333 - logcount_predictions_loss: 0.2426 2487/2487 [==============================] - 363s 146ms/step - loss: 587.2534 - logits_profile_predictions_loss: 582.2325 - logcount_predictions_loss: 0.2426 - val_loss: 597.0726 - val_logits_profile_predictions_loss: 591.3182 - val_logcount_predictions_loss: 0.2780 + +Epoch 00012: val_loss did not improve from 594.34058 +Epoch 13/50 + 1/2487 [..............................] - ETA: 6:28 - loss: 596.6418 - logits_profile_predictions_loss: 592.5470 - logcount_predictions_loss: 0.1978 2/2487 [..............................] - ETA: 5:47 - loss: 593.7727 - logits_profile_predictions_loss: 590.0052 - logcount_predictions_loss: 0.1820 3/2487 [..............................] - ETA: 5:46 - loss: 589.9760 - logits_profile_predictions_loss: 586.0606 - logcount_predictions_loss: 0.1891 4/2487 [..............................] - ETA: 5:45 - loss: 592.3866 - logits_profile_predictions_loss: 588.4255 - logcount_predictions_loss: 0.1914 5/2487 [..............................] - ETA: 5:45 - loss: 591.7036 - logits_profile_predictions_loss: 587.7014 - logcount_predictions_loss: 0.1933 6/2487 [..............................] - ETA: 5:45 - loss: 591.7913 - logits_profile_predictions_loss: 587.7376 - logcount_predictions_loss: 0.1958 7/2487 [..............................] - ETA: 5:44 - loss: 592.1625 - logits_profile_predictions_loss: 588.0422 - logcount_predictions_loss: 0.1990 8/2487 [..............................] - ETA: 5:44 - loss: 593.3581 - logits_profile_predictions_loss: 589.1794 - logcount_predictions_loss: 0.2019 9/2487 [..............................] - ETA: 5:45 - loss: 594.3751 - logits_profile_predictions_loss: 590.1341 - logcount_predictions_loss: 0.2049 10/2487 [..............................] - ETA: 5:45 - loss: 595.2468 - logits_profile_predictions_loss: 590.9518 - logcount_predictions_loss: 0.2075 11/2487 [..............................] - ETA: 5:44 - loss: 595.3676 - logits_profile_predictions_loss: 591.0190 - logcount_predictions_loss: 0.2101 12/2487 [..............................] - ETA: 5:44 - loss: 595.3758 - logits_profile_predictions_loss: 590.9873 - logcount_predictions_loss: 0.2120 13/2487 [..............................] - ETA: 5:44 - loss: 595.8309 - logits_profile_predictions_loss: 591.4074 - logcount_predictions_loss: 0.2137 14/2487 [..............................] - ETA: 5:44 - loss: 596.0585 - logits_profile_predictions_loss: 591.6013 - logcount_predictions_loss: 0.2153 15/2487 [..............................] - ETA: 5:43 - loss: 595.8978 - logits_profile_predictions_loss: 591.4142 - logcount_predictions_loss: 0.2166 16/2487 [..............................] - ETA: 5:43 - loss: 595.5801 - logits_profile_predictions_loss: 591.0764 - logcount_predictions_loss: 0.2176 17/2487 [..............................] - ETA: 5:43 - loss: 595.1178 - logits_profile_predictions_loss: 590.6018 - logcount_predictions_loss: 0.2182 18/2487 [..............................] - ETA: 5:43 - loss: 594.6996 - logits_profile_predictions_loss: 590.1608 - logcount_predictions_loss: 0.2193 19/2487 [..............................] - ETA: 5:43 - loss: 594.5690 - logits_profile_predictions_loss: 590.0114 - logcount_predictions_loss: 0.2202 20/2487 [..............................] - ETA: 5:43 - loss: 594.4586 - logits_profile_predictions_loss: 589.8854 - logcount_predictions_loss: 0.2209 21/2487 [..............................] - ETA: 5:42 - loss: 594.2035 - logits_profile_predictions_loss: 589.6151 - logcount_predictions_loss: 0.2217 22/2487 [..............................] - ETA: 5:42 - loss: 594.0457 - logits_profile_predictions_loss: 589.4430 - logcount_predictions_loss: 0.2224 23/2487 [..............................] - ETA: 5:42 - loss: 593.7902 - logits_profile_predictions_loss: 589.1744 - logcount_predictions_loss: 0.2230 24/2487 [..............................] - ETA: 5:42 - loss: 593.6416 - logits_profile_predictions_loss: 589.0121 - logcount_predictions_loss: 0.2237 25/2487 [..............................] - ETA: 5:42 - loss: 593.4147 - logits_profile_predictions_loss: 588.7736 - logcount_predictions_loss: 0.2242 26/2487 [..............................] - ETA: 5:42 - loss: 593.1063 - logits_profile_predictions_loss: 588.4527 - logcount_predictions_loss: 0.2248 27/2487 [..............................] - ETA: 5:42 - loss: 592.7539 - logits_profile_predictions_loss: 588.0876 - logcount_predictions_loss: 0.2254 28/2487 [..............................] - ETA: 5:41 - loss: 592.3816 - logits_profile_predictions_loss: 587.7034 - logcount_predictions_loss: 0.2260 29/2487 [..............................] - ETA: 5:41 - loss: 592.1141 - logits_profile_predictions_loss: 587.4250 - logcount_predictions_loss: 0.2265 30/2487 [..............................] - ETA: 5:41 - loss: 591.7915 - logits_profile_predictions_loss: 587.0926 - logcount_predictions_loss: 0.2270 31/2487 [..............................] - ETA: 5:41 - loss: 591.6511 - logits_profile_predictions_loss: 586.9427 - logcount_predictions_loss: 0.2275 32/2487 [..............................] - ETA: 5:41 - loss: 591.5029 - logits_profile_predictions_loss: 586.7853 - logcount_predictions_loss: 0.2279 33/2487 [..............................] - ETA: 5:41 - loss: 591.3599 - logits_profile_predictions_loss: 586.6345 - logcount_predictions_loss: 0.2283 34/2487 [..............................] - ETA: 5:41 - loss: 591.2837 - logits_profile_predictions_loss: 586.5509 - logcount_predictions_loss: 0.2286 35/2487 [..............................] - ETA: 5:40 - loss: 591.2594 - logits_profile_predictions_loss: 586.5182 - logcount_predictions_loss: 0.2290 36/2487 [..............................] - ETA: 5:40 - loss: 591.2451 - logits_profile_predictions_loss: 586.4959 - logcount_predictions_loss: 0.2294 37/2487 [..............................] - ETA: 5:40 - loss: 591.2028 - logits_profile_predictions_loss: 586.4464 - logcount_predictions_loss: 0.2298 38/2487 [..............................] - ETA: 5:40 - loss: 591.1910 - logits_profile_predictions_loss: 586.4287 - logcount_predictions_loss: 0.2301 39/2487 [..............................] - ETA: 5:40 - loss: 591.1450 - logits_profile_predictions_loss: 586.3775 - logcount_predictions_loss: 0.2303 40/2487 [..............................] - ETA: 5:40 - loss: 591.0901 - logits_profile_predictions_loss: 586.3175 - logcount_predictions_loss: 0.2306 41/2487 [..............................] - ETA: 5:39 - loss: 591.0020 - logits_profile_predictions_loss: 586.2249 - logcount_predictions_loss: 0.2308 42/2487 [..............................] - ETA: 5:39 - loss: 590.9494 - logits_profile_predictions_loss: 586.1661 - logcount_predictions_loss: 0.2311 43/2487 [..............................] - ETA: 5:39 - loss: 590.8792 - logits_profile_predictions_loss: 586.0901 - logcount_predictions_loss: 0.2314 44/2487 [..............................] - ETA: 5:39 - loss: 590.8460 - logits_profile_predictions_loss: 586.0515 - logcount_predictions_loss: 0.2316 45/2487 [..............................] - ETA: 5:39 - loss: 590.8340 - logits_profile_predictions_loss: 586.0345 - logcount_predictions_loss: 0.2319 46/2487 [..............................] - ETA: 5:39 - loss: 590.8034 - logits_profile_predictions_loss: 585.9991 - logcount_predictions_loss: 0.2321 47/2487 [..............................] - ETA: 5:39 - loss: 590.7628 - logits_profile_predictions_loss: 585.9540 - logcount_predictions_loss: 0.2323 48/2487 [..............................] - ETA: 5:39 - loss: 590.7410 - logits_profile_predictions_loss: 585.9283 - logcount_predictions_loss: 0.2325 49/2487 [..............................] - ETA: 5:38 - loss: 590.6896 - logits_profile_predictions_loss: 585.8733 - logcount_predictions_loss: 0.2327 50/2487 [..............................] - ETA: 5:38 - loss: 590.6522 - logits_profile_predictions_loss: 585.8327 - logcount_predictions_loss: 0.2328 51/2487 [..............................] - ETA: 5:38 - loss: 590.6145 - logits_profile_predictions_loss: 585.7922 - logcount_predictions_loss: 0.2330 52/2487 [..............................] - ETA: 5:38 - loss: 590.5769 - logits_profile_predictions_loss: 585.7519 - logcount_predictions_loss: 0.2331 53/2487 [..............................] - ETA: 5:38 - loss: 590.5402 - logits_profile_predictions_loss: 585.7119 - logcount_predictions_loss: 0.2333 54/2487 [..............................] - ETA: 5:38 - loss: 590.5067 - logits_profile_predictions_loss: 585.6757 - logcount_predictions_loss: 0.2334 55/2487 [..............................] - ETA: 5:38 - loss: 590.5066 - logits_profile_predictions_loss: 585.6730 - logcount_predictions_loss: 0.2335 56/2487 [..............................] - ETA: 5:38 - loss: 590.5082 - logits_profile_predictions_loss: 585.6724 - logcount_predictions_loss: 0.2336 57/2487 [..............................] - ETA: 5:37 - loss: 590.5037 - logits_profile_predictions_loss: 585.6661 - logcount_predictions_loss: 0.2337 58/2487 [..............................] - ETA: 5:37 - loss: 590.5158 - logits_profile_predictions_loss: 585.6761 - logcount_predictions_loss: 0.2338 59/2487 [..............................] - ETA: 5:37 - loss: 590.5271 - logits_profile_predictions_loss: 585.6857 - logcount_predictions_loss: 0.2339 60/2487 [..............................] - ETA: 5:37 - loss: 590.5359 - logits_profile_predictions_loss: 585.6930 - logcount_predictions_loss: 0.2340 61/2487 [..............................] - ETA: 5:37 - loss: 590.5206 - logits_profile_predictions_loss: 585.6765 - logcount_predictions_loss: 0.2340 62/2487 [..............................] - ETA: 5:37 - loss: 590.5042 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 582.3146 - logcount_predictions_loss: 0.2341 389/2487 [===>..........................] - ETA: 4:52 - loss: 587.1527 - logits_profile_predictions_loss: 582.3067 - logcount_predictions_loss: 0.2341 390/2487 [===>..........................] - ETA: 4:52 - loss: 587.1452 - logits_profile_predictions_loss: 582.2991 - logcount_predictions_loss: 0.2341 391/2487 [===>..........................] - ETA: 4:51 - loss: 587.1380 - logits_profile_predictions_loss: 582.2919 - logcount_predictions_loss: 0.2341 392/2487 [===>..........................] - ETA: 4:51 - loss: 587.1309 - logits_profile_predictions_loss: 582.2848 - logcount_predictions_loss: 0.2341 393/2487 [===>..........................] - ETA: 4:51 - loss: 587.1233 - logits_profile_predictions_loss: 582.2772 - logcount_predictions_loss: 0.2341 394/2487 [===>..........................] - ETA: 4:51 - loss: 587.1152 - logits_profile_predictions_loss: 582.2690 - logcount_predictions_loss: 0.2341 395/2487 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logits_profile_predictions_loss: 582.2146 - logcount_predictions_loss: 0.2341 402/2487 [===>..........................] - ETA: 4:50 - loss: 587.0539 - logits_profile_predictions_loss: 582.2074 - logcount_predictions_loss: 0.2341 403/2487 [===>..........................] - ETA: 4:50 - loss: 587.0468 - logits_profile_predictions_loss: 582.2003 - logcount_predictions_loss: 0.2341 404/2487 [===>..........................] - ETA: 4:50 - loss: 587.0400 - logits_profile_predictions_loss: 582.1934 - logcount_predictions_loss: 0.2341 405/2487 [===>..........................] - ETA: 4:49 - loss: 587.0330 - logits_profile_predictions_loss: 582.1864 - logcount_predictions_loss: 0.2342 406/2487 [===>..........................] - ETA: 4:49 - loss: 587.0261 - logits_profile_predictions_loss: 582.1795 - logcount_predictions_loss: 0.2342 407/2487 [===>..........................] - ETA: 4:49 - loss: 587.0191 - logits_profile_predictions_loss: 582.1725 - logcount_predictions_loss: 0.2342 408/2487 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[============================>.] - ETA: 10s - loss: 583.1277 - logits_profile_predictions_loss: 578.3510 - logcount_predictions_loss: 0.2308 2411/2487 [============================>.] - ETA: 10s - loss: 583.1267 - logits_profile_predictions_loss: 578.3500 - logcount_predictions_loss: 0.2308 2412/2487 [============================>.] - ETA: 10s - loss: 583.1257 - logits_profile_predictions_loss: 578.3490 - logcount_predictions_loss: 0.2308 2413/2487 [============================>.] - ETA: 10s - loss: 583.1247 - logits_profile_predictions_loss: 578.3480 - logcount_predictions_loss: 0.2308 2414/2487 [============================>.] - ETA: 10s - loss: 583.1237 - logits_profile_predictions_loss: 578.3471 - logcount_predictions_loss: 0.2308 2415/2487 [============================>.] - ETA: 10s - loss: 583.1227 - logits_profile_predictions_loss: 578.3461 - logcount_predictions_loss: 0.2308 2416/2487 [============================>.] - ETA: 9s - loss: 583.1217 - logits_profile_predictions_loss: 578.3451 - logcount_predictions_loss: 0.2308  2417/2487 [============================>.] - ETA: 9s - loss: 583.1208 - logits_profile_predictions_loss: 578.3442 - logcount_predictions_loss: 0.2308 2418/2487 [============================>.] - ETA: 9s - loss: 583.1198 - logits_profile_predictions_loss: 578.3432 - logcount_predictions_loss: 0.2308 2419/2487 [============================>.] - ETA: 9s - loss: 583.1188 - logits_profile_predictions_loss: 578.3422 - logcount_predictions_loss: 0.2308 2420/2487 [============================>.] - ETA: 9s - loss: 583.1178 - logits_profile_predictions_loss: 578.3413 - logcount_predictions_loss: 0.2308 2421/2487 [============================>.] - ETA: 9s - loss: 583.1168 - logits_profile_predictions_loss: 578.3403 - logcount_predictions_loss: 0.2308 2422/2487 [============================>.] - ETA: 9s - loss: 583.1159 - logits_profile_predictions_loss: 578.3393 - logcount_predictions_loss: 0.2308 2423/2487 [============================>.] - ETA: 8s - loss: 583.1149 - logits_profile_predictions_loss: 578.3383 - logcount_predictions_loss: 0.2308 2424/2487 [============================>.] - ETA: 8s - loss: 583.1139 - logits_profile_predictions_loss: 578.3374 - logcount_predictions_loss: 0.2308 2425/2487 [============================>.] - ETA: 8s - loss: 583.1129 - logits_profile_predictions_loss: 578.3364 - logcount_predictions_loss: 0.2308 2426/2487 [============================>.] - ETA: 8s - loss: 583.1120 - logits_profile_predictions_loss: 578.3355 - logcount_predictions_loss: 0.2308 2427/2487 [============================>.] - ETA: 8s - loss: 583.1110 - logits_profile_predictions_loss: 578.3345 - logcount_predictions_loss: 0.2308 2428/2487 [============================>.] - ETA: 8s - loss: 583.1100 - logits_profile_predictions_loss: 578.3335 - logcount_predictions_loss: 0.2308 2429/2487 [============================>.] - ETA: 8s - loss: 583.1091 - logits_profile_predictions_loss: 578.3326 - logcount_predictions_loss: 0.2308 2430/2487 [============================>.] - ETA: 7s - loss: 583.1081 - logits_profile_predictions_loss: 578.3316 - logcount_predictions_loss: 0.2308 2431/2487 [============================>.] - ETA: 7s - loss: 583.1071 - logits_profile_predictions_loss: 578.3307 - logcount_predictions_loss: 0.2308 2432/2487 [============================>.] - ETA: 7s - loss: 583.1062 - logits_profile_predictions_loss: 578.3297 - logcount_predictions_loss: 0.2308 2433/2487 [============================>.] - ETA: 7s - loss: 583.1052 - logits_profile_predictions_loss: 578.3287 - logcount_predictions_loss: 0.2308 2434/2487 [============================>.] - ETA: 7s - loss: 583.1043 - logits_profile_predictions_loss: 578.3278 - logcount_predictions_loss: 0.2308 2435/2487 [============================>.] - ETA: 7s - loss: 583.1033 - logits_profile_predictions_loss: 578.3269 - logcount_predictions_loss: 0.2308 2436/2487 [============================>.] - ETA: 7s - loss: 583.1024 - logits_profile_predictions_loss: 578.3260 - logcount_predictions_loss: 0.2308 2437/2487 [============================>.] - ETA: 6s - loss: 583.1015 - logits_profile_predictions_loss: 578.3250 - logcount_predictions_loss: 0.2308 2438/2487 [============================>.] - ETA: 6s - loss: 583.1005 - logits_profile_predictions_loss: 578.3241 - logcount_predictions_loss: 0.2308 2439/2487 [============================>.] - ETA: 6s - loss: 583.0996 - logits_profile_predictions_loss: 578.3232 - logcount_predictions_loss: 0.2308 2440/2487 [============================>.] - ETA: 6s - loss: 583.0987 - logits_profile_predictions_loss: 578.3223 - logcount_predictions_loss: 0.2308 2441/2487 [============================>.] - ETA: 6s - loss: 583.0978 - logits_profile_predictions_loss: 578.3214 - logcount_predictions_loss: 0.2308 2442/2487 [============================>.] - ETA: 6s - loss: 583.0968 - logits_profile_predictions_loss: 578.3204 - logcount_predictions_loss: 0.2308 2443/2487 [============================>.] - ETA: 6s - loss: 583.0959 - logits_profile_predictions_loss: 578.3195 - logcount_predictions_loss: 0.2308 2444/2487 [============================>.] - ETA: 5s - loss: 583.0950 - logits_profile_predictions_loss: 578.3186 - logcount_predictions_loss: 0.2308 2445/2487 [============================>.] - ETA: 5s - loss: 583.0940 - logits_profile_predictions_loss: 578.3177 - logcount_predictions_loss: 0.2308 2446/2487 [============================>.] - ETA: 5s - loss: 583.0931 - logits_profile_predictions_loss: 578.3168 - logcount_predictions_loss: 0.2308 2447/2487 [============================>.] - ETA: 5s - loss: 583.0922 - logits_profile_predictions_loss: 578.3159 - logcount_predictions_loss: 0.2308 2448/2487 [============================>.] - ETA: 5s - loss: 583.0913 - logits_profile_predictions_loss: 578.3150 - logcount_predictions_loss: 0.2308 2449/2487 [============================>.] - ETA: 5s - loss: 583.0904 - logits_profile_predictions_loss: 578.3141 - logcount_predictions_loss: 0.2308 2450/2487 [============================>.] - ETA: 5s - loss: 583.0895 - logits_profile_predictions_loss: 578.3132 - logcount_predictions_loss: 0.2308 2451/2487 [============================>.] - ETA: 5s - loss: 583.0886 - logits_profile_predictions_loss: 578.3122 - logcount_predictions_loss: 0.2308 2452/2487 [============================>.] - ETA: 4s - loss: 583.0876 - logits_profile_predictions_loss: 578.3113 - logcount_predictions_loss: 0.2308 2453/2487 [============================>.] - ETA: 4s - loss: 583.0867 - logits_profile_predictions_loss: 578.3104 - logcount_predictions_loss: 0.2308 2454/2487 [============================>.] - ETA: 4s - loss: 583.0858 - logits_profile_predictions_loss: 578.3095 - logcount_predictions_loss: 0.2308 2455/2487 [============================>.] - ETA: 4s - loss: 583.0849 - logits_profile_predictions_loss: 578.3087 - logcount_predictions_loss: 0.2308 2456/2487 [============================>.] - ETA: 4s - loss: 583.0840 - logits_profile_predictions_loss: 578.3078 - logcount_predictions_loss: 0.2308 2457/2487 [============================>.] - ETA: 4s - loss: 583.0832 - logits_profile_predictions_loss: 578.3069 - logcount_predictions_loss: 0.2308 2458/2487 [============================>.] - ETA: 4s - loss: 583.0823 - logits_profile_predictions_loss: 578.3060 - logcount_predictions_loss: 0.2308 2459/2487 [============================>.] - ETA: 3s - loss: 583.0813 - logits_profile_predictions_loss: 578.3051 - logcount_predictions_loss: 0.2308 2460/2487 [============================>.] - ETA: 3s - loss: 583.0804 - logits_profile_predictions_loss: 578.3042 - logcount_predictions_loss: 0.2308 2461/2487 [============================>.] - ETA: 3s - loss: 583.0796 - logits_profile_predictions_loss: 578.3033 - logcount_predictions_loss: 0.2308 2462/2487 [============================>.] - ETA: 3s - loss: 583.0787 - logits_profile_predictions_loss: 578.3024 - logcount_predictions_loss: 0.2308 2463/2487 [============================>.] - ETA: 3s - loss: 583.0778 - logits_profile_predictions_loss: 578.3016 - logcount_predictions_loss: 0.2308 2464/2487 [============================>.] - ETA: 3s - loss: 583.0769 - logits_profile_predictions_loss: 578.3007 - logcount_predictions_loss: 0.2308 2465/2487 [============================>.] - ETA: 3s - loss: 583.0760 - logits_profile_predictions_loss: 578.2998 - logcount_predictions_loss: 0.2308 2466/2487 [============================>.] - ETA: 2s - loss: 583.0751 - logits_profile_predictions_loss: 578.2989 - logcount_predictions_loss: 0.2308 2467/2487 [============================>.] - ETA: 2s - loss: 583.0743 - logits_profile_predictions_loss: 578.2981 - logcount_predictions_loss: 0.2308 2468/2487 [============================>.] - ETA: 2s - loss: 583.0734 - logits_profile_predictions_loss: 578.2972 - logcount_predictions_loss: 0.2308 2469/2487 [============================>.] - ETA: 2s - loss: 583.0725 - logits_profile_predictions_loss: 578.2964 - logcount_predictions_loss: 0.2308 2470/2487 [============================>.] - ETA: 2s - loss: 583.0717 - logits_profile_predictions_loss: 578.2955 - logcount_predictions_loss: 0.2308 2471/2487 [============================>.] - ETA: 2s - loss: 583.0708 - logits_profile_predictions_loss: 578.2946 - logcount_predictions_loss: 0.2308 2472/2487 [============================>.] - ETA: 2s - loss: 583.0699 - logits_profile_predictions_loss: 578.2938 - logcount_predictions_loss: 0.2308 2473/2487 [============================>.] - ETA: 1s - loss: 583.0691 - logits_profile_predictions_loss: 578.2929 - logcount_predictions_loss: 0.2308 2474/2487 [============================>.] - ETA: 1s - loss: 583.0682 - logits_profile_predictions_loss: 578.2921 - logcount_predictions_loss: 0.2308 2475/2487 [============================>.] - ETA: 1s - loss: 583.0673 - logits_profile_predictions_loss: 578.2912 - logcount_predictions_loss: 0.2308 2476/2487 [============================>.] - ETA: 1s - loss: 583.0664 - logits_profile_predictions_loss: 578.2903 - logcount_predictions_loss: 0.2308 2477/2487 [============================>.] - ETA: 1s - loss: 583.0655 - logits_profile_predictions_loss: 578.2894 - logcount_predictions_loss: 0.2308 2478/2487 [============================>.] - ETA: 1s - loss: 583.0647 - logits_profile_predictions_loss: 578.2886 - logcount_predictions_loss: 0.2308 2479/2487 [============================>.] - ETA: 1s - loss: 583.0638 - logits_profile_predictions_loss: 578.2877 - logcount_predictions_loss: 0.2308 2480/2487 [============================>.] - ETA: 0s - loss: 583.0629 - logits_profile_predictions_loss: 578.2868 - logcount_predictions_loss: 0.2308 2481/2487 [============================>.] - ETA: 0s - loss: 583.0620 - logits_profile_predictions_loss: 578.2859 - logcount_predictions_loss: 0.2308 2482/2487 [============================>.] - ETA: 0s - loss: 583.0611 - logits_profile_predictions_loss: 578.2851 - logcount_predictions_loss: 0.2308 2483/2487 [============================>.] - ETA: 0s - loss: 583.0602 - logits_profile_predictions_loss: 578.2842 - logcount_predictions_loss: 0.2308 2484/2487 [============================>.] - ETA: 0s - loss: 583.0593 - logits_profile_predictions_loss: 578.2833 - logcount_predictions_loss: 0.2307 2485/2487 [============================>.] - ETA: 0s - loss: 583.0585 - logits_profile_predictions_loss: 578.2824 - logcount_predictions_loss: 0.2307 2486/2487 [============================>.] - ETA: 0s - loss: 583.0576 - logits_profile_predictions_loss: 578.2815 - logcount_predictions_loss: 0.2307 2487/2487 [==============================] - ETA: 0s - loss: 583.0567 - logits_profile_predictions_loss: 578.2806 - logcount_predictions_loss: 0.2307 2487/2487 [==============================] - 363s 146ms/step - loss: 583.0558 - logits_profile_predictions_loss: 578.2798 - logcount_predictions_loss: 0.2307 - val_loss: 595.7535 - val_logits_profile_predictions_loss: 590.0640 - val_logcount_predictions_loss: 0.2749 + +Epoch 00013: val_loss did not improve from 594.34058 +Restoring model weights from the end of the best epoch. +Epoch 00013: early stopping +save model +save model without bias +2022-10-13_00-02-50: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(38470, 10) +loading nonpeaks... +got split:test for bed regions:(43595, 10) +0/321 +100/321 +200/321 +300/321 +2022-10-13_00-06-44: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(38470, 10) +loading nonpeaks... +got split:test for bed regions:(43595, 10) +0/321 +100/321 +200/321 +300/321 +2022-10-13_00-10-03: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ + --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + --bigwig=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR417LPB//preprocessing/bigWigs/ENCSR417LPB.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(38470, 10) +loading nonpeaks... +got split:test for bed regions:(43595, 10) +0/321 +100/321 +200/321 +300/321 +2022-10-13_00-12-20: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints +2022-10-13_00-12-20: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo dnase_1,dnase_2 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model_1" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +wo_bias_bpnet_1st_conv (Conv1D) (None, 2094, 512) 43520 sequence[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_1crop (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 512) 0 wo_bias_bpnet_1conv[0][0] + wo_bias_bpnet_1crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 add[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_2crop (Cropping1D (None, 2082, 512) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 512) 0 wo_bias_bpnet_2conv[0][0] + wo_bias_bpnet_2crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 add_1[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_3crop (Cropping1D (None, 2066, 512) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 512) 0 wo_bias_bpnet_3conv[0][0] + wo_bias_bpnet_3crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 add_2[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_4crop (Cropping1D (None, 2034, 512) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 512) 0 wo_bias_bpnet_4conv[0][0] + wo_bias_bpnet_4crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 add_3[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_5crop (Cropping1D (None, 1970, 512) 0 add_3[0][0] +__________________________________________________________________________________________________ +add_4 (Add) (None, 1970, 512) 0 wo_bias_bpnet_5conv[0][0] + wo_bias_bpnet_5crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 add_4[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_6crop (Cropping1D (None, 1842, 512) 0 add_4[0][0] +__________________________________________________________________________________________________ +add_5 (Add) (None, 1842, 512) 0 wo_bias_bpnet_6conv[0][0] + wo_bias_bpnet_6crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 add_5[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_7crop (Cropping1D (None, 1586, 512) 0 add_5[0][0] +__________________________________________________________________________________________________ +add_6 (Add) (None, 1586, 512) 0 wo_bias_bpnet_7conv[0][0] + wo_bias_bpnet_7crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 add_6[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_8crop (Cropping1D (None, 1074, 512) 0 add_6[0][0] +__________________________________________________________________________________________________ +add_7 (Add) (None, 1074, 512) 0 wo_bias_bpnet_8conv[0][0] + wo_bias_bpnet_8crop[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] +__________________________________________________________________________________________________ +wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt +__________________________________________________________________________________________________ +wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] +================================================================================================== +Total params: 6,377,986 +Trainable params: 6,377,986 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: dnase_1 +TTTACAAGTCCA + 1/35 [..............................] - ETA: 3:33 3/35 [=>............................] - ETA: 10s  4/35 [==>...........................] - ETA: 13s 5/35 [===>..........................] - ETA: 14s 6/35 [====>.........................] - ETA: 14s 7/35 [=====>........................] - ETA: 14s 8/35 [=====>........................] - ETA: 14s 9/35 [======>.......................] - ETA: 14s 10/35 [=======>......................] - ETA: 13s 11/35 [========>.....................] - ETA: 13s 12/35 [=========>....................] - ETA: 13s 13/35 [==========>...................] - ETA: 12s 14/35 [===========>..................] - ETA: 12s 15/35 [===========>..................] - ETA: 11s 16/35 [============>.................] - ETA: 11s 17/35 [=============>................] - ETA: 10s 18/35 [==============>...............] - ETA: 9s  19/35 [===============>..............] - ETA: 9s 20/35 [================>.............] - ETA: 8s 21/35 [=================>............] - ETA: 8s 22/35 [=================>............] - ETA: 7s 23/35 [==================>...........] - ETA: 7s 24/35 [===================>..........] - ETA: 6s 25/35 [====================>.........] - ETA: 5s 26/35 [=====================>........] - ETA: 5s 27/35 [======================>.......] - ETA: 4s 28/35 [=======================>......] - ETA: 4s 29/35 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[==========>...................] - ETA: 13s 14/35 [===========>..................] - ETA: 13s 15/35 [===========>..................] - ETA: 12s 16/35 [============>.................] - ETA: 11s 17/35 [=============>................] - ETA: 11s 18/35 [==============>...............] - ETA: 10s 19/35 [===============>..............] - ETA: 9s  20/35 [================>.............] - ETA: 9s 21/35 [=================>............] - ETA: 8s 22/35 [=================>............] - ETA: 8s 23/35 [==================>...........] - ETA: 7s 24/35 [===================>..........] - ETA: 6s 25/35 [====================>.........] - ETA: 6s 26/35 [=====================>........] - ETA: 5s 27/35 [======================>.......] - ETA: 4s 28/35 [=======================>......] - ETA: 4s 29/35 [=======================>......] - ETA: 3s 30/35 [========================>.....] - ETA: 3s 31/35 [=========================>....] - ETA: 2s 32/35 [==========================>...] - ETA: 1s 33/35 [===========================>..] - ETA: 1s 34/35 [============================>.] - ETA: 0s 35/35 [==============================] - ETA: 0s 35/35 [==============================] - 21s 627ms/step +inserting motif: dnase_2 +TGTACTTACGAA + 1/35 [..............................] - ETA: 0s 2/35 [>.............................] - ETA: 20s 3/35 [=>............................] - ETA: 19s 4/35 [==>...........................] - ETA: 19s 5/35 [===>..........................] - ETA: 18s 6/35 [====>.........................] - ETA: 18s 7/35 [=====>........................] - ETA: 17s 8/35 [=====>........................] - ETA: 16s 9/35 [======>.......................] - ETA: 16s 10/35 [=======>......................] - ETA: 15s 11/35 [========>.....................] - ETA: 14s 12/35 [=========>....................] - ETA: 14s 13/35 [==========>...................] - ETA: 13s 14/35 [===========>..................] - ETA: 13s 15/35 [===========>..................] - ETA: 12s 16/35 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[==============================] - 21s 627ms/step + 1/35 [..............................] - ETA: 0s 2/35 [>.............................] - ETA: 20s 3/35 [=>............................] - ETA: 19s 4/35 [==>...........................] - ETA: 19s 5/35 [===>..........................] - ETA: 18s 6/35 [====>.........................] - ETA: 18s 7/35 [=====>........................] - ETA: 17s 8/35 [=====>........................] - ETA: 16s 9/35 [======>.......................] - ETA: 16s 10/35 [=======>......................] - ETA: 15s 11/35 [========>.....................] - ETA: 14s 12/35 [=========>....................] - ETA: 14s 13/35 [==========>...................] - ETA: 13s 14/35 [===========>..................] - ETA: 13s 15/35 [===========>..................] - ETA: 12s 16/35 [============>.................] - ETA: 11s 17/35 [=============>................] - ETA: 11s 18/35 [==============>...............] - ETA: 10s 19/35 [===============>..............] - ETA: 9s  20/35 [================>.............] - ETA: 9s 21/35 [=================>............] - ETA: 8s 22/35 [=================>............] - ETA: 8s 23/35 [==================>...........] - ETA: 7s 24/35 [===================>..........] - ETA: 6s 25/35 [====================>.........] - ETA: 6s 26/35 [=====================>........] - ETA: 5s 27/35 [======================>.......] - ETA: 4s 28/35 [=======================>......] - ETA: 4s 29/35 [=======================>......] - ETA: 3s 30/35 [========================>.....] - ETA: 3s 31/35 [=========================>....] - ETA: 2s 32/35 [==========================>...] - ETA: 1s 33/35 [===========================>..] - ETA: 1s 34/35 [============================>.] - ETA: 0s 35/35 [==============================] - ETA: 0s 35/35 [==============================] - 21s 627ms/step +Saving marginal footprints +2022-10-13_00-14-10: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints +2022-10-13_00-14-10: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ + -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ + -r /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR417LPB//chrombppnet_model_encsr880cub_bias_fold_4//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo dnase_1,dnase_2 + MOTIF_NAME MOTIF_PWM_FWD +0 tn5_1 GCACAGTACAGAGCTG +1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG +2 tn5_3 CCTCTACACTGTGCAGAA +3 tn5_4 GCACAGTTCTAGACTGTGCAG +4 tn5_5 CTGCACAGTGTAGAGTTGTGC +5 dnase_1 TTTACAAGTCCA +6 dnase_2 TGTACTTACGAA +7 NRF1 GCGCATGCGC +8 AP1 CGATATGACTCATCCC +9 CTCF TTGGCCACTAGGGGGCGCTAT +10 ETS CCGAAAGCGGAAGTGAGAC +11 SP1 AAGGGGGCGGGGCCTAA +12 RUNX CCCTAACCACAGCCC +13 NFKB GCAAGGGAAATTCCCCAGG +14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC +15 TAL GGCTGGG +16 NFYB CCAGCCAATCAGAGC +17 GABPA GAAACCGGAAGTGGCC +18 BACH1+MAFK AACTGCTGAGTCATCCCG +19 NRF1 CCCCGCGCATGCGCAGTGC +20 HNF4G CCGTTGGACTTTGGACCCTG +got the model +Model: "model" +__________________________________________________________________________________________________ +Layer (type) Output Shape Param # Connected to +================================================================================================== +sequence (InputLayer) [(None, 2114, 4)] 0 +__________________________________________________________________________________________________ +bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 sequence[0][0] +__________________________________________________________________________________________________ +bpnet_1conv (Conv1D) (None, 2090, 128) 49280 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +bpnet_1crop (Cropping1D) (None, 2090, 128) 0 bpnet_1st_conv[0][0] +__________________________________________________________________________________________________ +add (Add) (None, 2090, 128) 0 bpnet_1conv[0][0] + bpnet_1crop[0][0] +__________________________________________________________________________________________________ +bpnet_2conv (Conv1D) (None, 2082, 128) 49280 add[0][0] +__________________________________________________________________________________________________ +bpnet_2crop (Cropping1D) (None, 2082, 128) 0 add[0][0] +__________________________________________________________________________________________________ +add_1 (Add) (None, 2082, 128) 0 bpnet_2conv[0][0] + bpnet_2crop[0][0] +__________________________________________________________________________________________________ +bpnet_3conv (Conv1D) (None, 2066, 128) 49280 add_1[0][0] +__________________________________________________________________________________________________ +bpnet_3crop (Cropping1D) (None, 2066, 128) 0 add_1[0][0] +__________________________________________________________________________________________________ +add_2 (Add) (None, 2066, 128) 0 bpnet_3conv[0][0] + bpnet_3crop[0][0] +__________________________________________________________________________________________________ +bpnet_4conv (Conv1D) (None, 2034, 128) 49280 add_2[0][0] +__________________________________________________________________________________________________ +bpnet_4crop (Cropping1D) (None, 2034, 128) 0 add_2[0][0] +__________________________________________________________________________________________________ +add_3 (Add) (None, 2034, 128) 0 bpnet_4conv[0][0] + bpnet_4crop[0][0] +__________________________________________________________________________________________________ +prof_out_precrop (Conv1D) (None, 1960, 1) 9601 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions_pref (None, 1000, 1) 0 prof_out_precrop[0][0] +__________________________________________________________________________________________________ +gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] +__________________________________________________________________________________________________ +logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla +__________________________________________________________________________________________________ +logcount_predictions (Dense) (None, 1) 129 gap[0][0] +================================================================================================== +Total params: 217,730 +Trainable params: 217,730 +Non-trainable params: 0 +__________________________________________________________________________________________________ +inferred model inputlen: 2114 +inferred model outputlen: 1000 +inserting motif: dnase_1 +TTTACAAGTCCA + 1/35 [..............................] - ETA: 1:37 3/35 [=>............................] - ETA: 0s  5/35 [===>..........................] - ETA: 1s 7/35 [=====>........................] - ETA: 1s 9/35 [======>.......................] - ETA: 1s 10/35 [=======>......................] - ETA: 1s 11/35 [========>.....................] - ETA: 1s 12/35 [=========>....................] - ETA: 1s 13/35 [==========>...................] - ETA: 1s 14/35 [===========>..................] - ETA: 0s 15/35 [===========>..................] - ETA: 0s 16/35 [============>.................] - ETA: 0s 17/35 [=============>................] - ETA: 0s 18/35 [==============>...............] - ETA: 0s 19/35 [===============>..............] - ETA: 0s 20/35 [================>.............] - ETA: 0s 21/35 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[======>.......................] - ETA: 1s 11/35 [========>.....................] - ETA: 1s 13/35 [==========>...................] - ETA: 1s 15/35 [===========>..................] - ETA: 0s 16/35 [============>.................] - ETA: 0s 17/35 [=============>................] - ETA: 0s 18/35 [==============>...............] - ETA: 0s 19/35 [===============>..............] - ETA: 0s 20/35 [================>.............] - ETA: 0s 21/35 [=================>............] - ETA: 0s 22/35 [=================>............] - ETA: 0s 23/35 [==================>...........] - ETA: 0s 24/35 [===================>..........] - ETA: 0s 25/35 [====================>.........] - ETA: 0s 26/35 [=====================>........] - ETA: 0s 27/35 [======================>.......] - ETA: 0s 28/35 [=======================>......] - ETA: 0s 29/35 [=======================>......] - ETA: 0s 30/35 [========================>.....] - ETA: 0s 31/35 [=========================>....] - ETA: 0s 32/35 [==========================>...] - ETA: 0s 33/35 [===========================>..] - ETA: 0s 34/35 [============================>.] - ETA: 0s 35/35 [==============================] - 2s 50ms/step +inserting motif: dnase_2 +TGTACTTACGAA + 1/35 [..............................] - ETA: 0s 3/35 [=>............................] - ETA: 1s 5/35 [===>..........................] - ETA: 1s 7/35 [=====>........................] - ETA: 1s 9/35 [======>.......................] - ETA: 1s 11/35 [========>.....................] - ETA: 1s 13/35 [==========>...................] - ETA: 1s 14/35 [===========>..................] - ETA: 1s 15/35 [===========>..................] - ETA: 0s 17/35 [=============>................] - ETA: 0s 19/35 [===============>..............] - ETA: 0s 21/35 [=================>............] - ETA: 0s 23/35 [==================>...........] - ETA: 0s 25/35 [====================>.........] - ETA: 0s 27/35 [======================>.......] - ETA: 0s 29/35 [=======================>......] - ETA: 0s 31/35 [=========================>....] - ETA: 0s 33/35 [===========================>..] - ETA: 0s 35/35 [==============================] - ETA: 0s 35/35 [==============================] - 2s 50ms/step + 1/35 [..............................] - ETA: 0s 3/35 [=>............................] - ETA: 1s 5/35 [===>..........................] - ETA: 1s 7/35 [=====>........................] - ETA: 1s 9/35 [======>.......................] - ETA: 1s 11/35 [========>.....................] - ETA: 1s 13/35 [==========>...................] - ETA: 1s 15/35 [===========>..................] - ETA: 0s 16/35 [============>.................] - ETA: 0s 17/35 [=============>................] - ETA: 0s 19/35 [===============>..............] - ETA: 0s 21/35 [=================>............] - ETA: 0s 23/35 [==================>...........] - ETA: 0s 25/35 [====================>.........] - ETA: 0s 27/35 [======================>.......] - ETA: 0s 29/35 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