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  1. README.md +1 -1
  2. config.json +61 -0
  3. norm_stats_used.json +98 -0
  4. pytorch_model.bin +3 -0
README.md CHANGED
@@ -132,7 +132,7 @@ import numpy as np
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  import torch
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  from scOT.model import ScOT # from the Poseidon / scOT codebase
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- model = ScOT.from_pretrained("<your-username>/poseidon-b-joint-cyl-kh").eval().cuda()
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  # Cylinder channel statistics used at training time (from norm_stats_used.json).
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  # Channels are (rho, u, v, p). For the cylinder regime rho encodes the body: 1=fluid, 0=solid.
 
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  import torch
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  from scOT.model import ScOT # from the Poseidon / scOT codebase
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+ model = ScOT.from_pretrained("rwmasood/poseidon-b-joint-cyl-kh").eval().cuda()
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  # Cylinder channel statistics used at training time (from norm_stats_used.json).
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  # Channels are (rho, u, v, p). For the cylinder regime rho encodes the body: 1=fluid, 0=solid.
config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_name_or_path": "./Poseidon-B",
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+ "architectures": [
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+ "ScOT"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "channel_slice_list_normalized_loss": [
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+ 0,
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+ 1,
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+ 3,
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+ 4
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+ ],
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+ "depths": [
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+ 8,
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+ 8,
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+ 8,
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+ 8
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+ ],
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+ "drop_path_rate": 0.0,
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+ "embed_dim": 96,
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+ "encoder_stride": 32,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "image_size": 128,
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-05,
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+ "learn_residual": false,
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+ "mlp_ratio": 4.0,
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+ "model_type": "swinv2",
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+ "num_channels": 4,
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+ "num_heads": [
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+ 3,
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+ 6,
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+ 12,
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+ 24
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+ ],
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+ "num_layers": 4,
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+ "num_out_channels": 4,
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+ "p": 1,
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+ "patch_size": 4,
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+ "pretrained_window_sizes": [
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+ 0,
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+ 0,
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+ 0,
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+ 0
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+ ],
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+ "qkv_bias": true,
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+ "residual_model": "convnext",
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+ "skip_connections": [
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+ 2,
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+ 2,
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+ 2,
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+ 0
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.29.2",
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+ "use_absolute_embeddings": false,
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+ "use_conditioning": true,
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+ "window_size": 16
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+ }
norm_stats_used.json ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "cyl": {
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+ "mean": [
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+ 0.992431640625,
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+ 0.9874249696731567,
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+ -6.629727431572974e-05,
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+ 0.9546216726303101
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+ ],
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+ "std": [
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+ 0.1872677057981491,
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+ 0.15668894350528717,
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+ 0.11970974504947662
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+ ],
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+ "channels": [
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+ "rho",
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+ "u",
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+ "v",
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+ "p"
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+ ],
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+ "skip_norm_idx": [],
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+ "n_traj": 150,
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+ "n_frames": 21,
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+ "orig_frames": 41
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+ },
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+ "khc": {
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+ "mean": [
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+ 1.4987393617630005,
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+ 0.15815676748752594,
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+ -0.00015812707715667784,
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+ 11.184250831604004
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+ ],
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+ "std": [
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+ ],
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+ "channels": [
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+ "rho",
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+ "u",
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+ "v",
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+ "p"
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+ ],
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+ "skip_norm_idx": [],
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+ "n_traj": 50,
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+ ],
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+ "channels": [
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+ "c0",
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+ "c1",
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+ "c2",
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+ "c3"
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+ ],
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+ "skip_norm_idx": [],
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+ "n_traj": 40,
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+ "rp": {
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+ "n_frames": 21,
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+ "orig_frames": 21
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+ }
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+ }
pytorch_model.bin ADDED
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