diff --git "a/franka_stack_mimic_2k_table_only/20250420141711/logs/log.txt" "b/franka_stack_mimic_2k_table_only/20250420141711/logs/log.txt" deleted file mode 100644--- "a/franka_stack_mimic_2k_table_only/20250420141711/logs/log.txt" +++ /dev/null @@ -1,9748 +0,0 @@ - -============= Initialized Observation Utils with Obs Spec ============= - -using obs modality: low_dim with keys: ['eef_pos', 'eef_quat', 'gripper_pos'] -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%| | 0/3000 [00:00