File size: 2,670 Bytes
e792dae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 | _target_: unilarn.src.models.unilarn.UniLARN
codebook_dim: 32
commit_loss_w: 1.0
recon_loss_w: 1.0
recon_depth_loss_w: 1.0
perceptual_loss_w: 1.0
image_encoder:
_target_: transformers.ViTMAEModel.from_pretrained
pretrained_model_name_or_path: facebook/vit-mae-large
m_former:
_target_: unilarn.src.models.m_former.MFormer
add_pooling_layer: false
config:
_target_: transformers.ViTConfig
query_num: 8
input_hidden_size: 1024
num_patches: 197
attention_probs_dropout_prob: 0.0
hidden_act: gelu
hidden_dropout_prob: 0.0
hidden_size: 768
initializer_range: 0.02
intermediate_size: 3072
layer_norm_eps: 1.0e-12
model_type: vit
num_attention_heads: 12
num_hidden_layers: 4
qkv_bias: true
m_former_depth:
_target_: unilarn.src.models.m_former.MFormer
add_pooling_layer: false
config:
_target_: transformers.ViTConfig
query_num: 8
input_hidden_size: 1024
num_patches: 197
attention_probs_dropout_prob: 0.0
hidden_act: gelu
hidden_dropout_prob: 0.0
hidden_size: 768
initializer_range: 0.02
intermediate_size: 3072
layer_norm_eps: 1.0e-12
model_type: vit
num_attention_heads: 12
num_hidden_layers: 4
qkv_bias: true
vector_quantizer:
_target_: unilarn.src.models.vector_quantizer.VectorQuantizer2
n_e: 128
e_dim: 32
beta: 0.25
remap: null
sane_index_shape: true
legacy: false
vector_quantizer_uni:
_target_: unilarn.src.models.vector_quantizer.VectorQuantizer2
n_e: 128
e_dim: 32
beta: 0.25
remap: null
sane_index_shape: true
legacy: false
decoder:
_target_: unilarn.src.models.latent_action_decoder.LatentActionDecoder
config:
_target_: transformers.ViTConfig
query_num: 8
attention_probs_dropout_prob: 0.0
hidden_act: gelu
hidden_dropout_prob: 0.0
hidden_size: 768
image_size: 224
initializer_range: 0.02
intermediate_size: 3072
layer_norm_eps: 1.0e-12
model_type: vit
num_attention_heads: 12
num_channels: 3
num_hidden_layers: 12
patch_size: 16
qkv_bias: true
encoder_stride: 16
num_patches: 196
depth_decoder:
_target_: unilarn.src.models.latent_action_decoder.LatentActionDecoder
config:
_target_: transformers.ViTConfig
query_num: 8
attention_probs_dropout_prob: 0.0
hidden_act: gelu
hidden_dropout_prob: 0.0
hidden_size: 768
image_size: 224
initializer_range: 0.02
intermediate_size: 3072
layer_norm_eps: 1.0e-12
model_type: vit
num_attention_heads: 12
num_channels: 3
num_hidden_layers: 12
patch_size: 16
qkv_bias: true
encoder_stride: 16
num_patches: 196
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