diff --git "a/franka_stack_mimic_1k_table_only/20250416141542/logs/log.txt" "b/franka_stack_mimic_1k_table_only/20250416141542/logs/log.txt" new file mode 100644--- /dev/null +++ "b/franka_stack_mimic_1k_table_only/20250416141542/logs/log.txt" @@ -0,0 +1,9748 @@ + +============= Initialized Observation Utils with Obs Spec ============= + +using obs modality: low_dim with keys: ['gripper_pos', 'eef_pos', 'eef_quat'] +using obs modality: rgb with keys: ['table_cam'] +using obs modality: depth with keys: [] +using obs modality: scan with keys: [] + +============= Loaded Environment Metadata ============= +obs key eef_pos with shape (3,) +obs key eef_quat with shape (4,) +obs key gripper_pos with shape (2,) +obs key table_cam with shape (200, 200, 3) + +/home/shauryad/workspaces/omni_isaac_sim/_build/linux-x86_64/release/exts/omni.isaac.ml_archive/pip_prebundle/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. + warnings.warn( +/home/shauryad/workspaces/omni_isaac_sim/_build/linux-x86_64/release/exts/omni.isaac.ml_archive/pip_prebundle/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`. + warnings.warn(msg) + +============= Model Summary ============= +ObservationKeyToModalityDict: mean not found, adding mean to mapping with assumed low_dim modality! +ObservationKeyToModalityDict: scale not found, adding scale to mapping with assumed low_dim modality! +ObservationKeyToModalityDict: logits not found, adding logits to mapping with assumed low_dim modality! +BC_RNN_GMM ( + ModuleDict( + (policy): RNNGMMActorNetwork( + action_dim=7, std_activation=softplus, low_noise_eval=True, num_nodes=5, min_std=0.0001 + + encoder=ObservationGroupEncoder( + group=obs + ObservationEncoder( + Key( + name=eef_pos + shape=[3] + modality=low_dim + randomizer=None + net=None + sharing_from=None + ) + Key( + name=eef_quat + shape=[4] + modality=low_dim + randomizer=None + net=None + sharing_from=None + ) + Key( + name=gripper_pos + shape=[2] + modality=low_dim + randomizer=None + net=None + sharing_from=None + ) + Key( + name=table_cam + shape=[3, 200, 200] + modality=rgb + randomizer=CropRandomizer(input_shape=[3, 200, 200], crop_size=[180, 180], num_crops=1) + net=VisualCore( + input_shape=[3, 180, 180] + output_shape=[64] + backbone_net=ResNet18Conv(input_channel=3, input_coord_conv=False) + pool_net=SpatialSoftmax(num_kp=32, temperature=1.0, noise=0.0) + ) + sharing_from=None + ) + output_shape=[73] + ) + ) + + rnn=RNN_Base( + (per_step_net): ObservationDecoder( + Key( + name=mean + shape=(5, 7) + modality=low_dim + net=(Linear(in_features=1000, out_features=35, bias=True)) + ) + Key( + name=scale + shape=(5, 7) + modality=low_dim + net=(Linear(in_features=1000, out_features=35, bias=True)) + ) + Key( + name=logits + shape=(5,) + modality=low_dim + net=(Linear(in_features=1000, out_features=5, bias=True)) + ) + ) + (nets): LSTM(73, 1000, num_layers=2, batch_first=True) + ) + ) + ) +) + +SequenceDataset: loading dataset into memory... + 0%| | 0/1000 [00:00