Add files using upload-large-folder tool
Browse files- README.md +5 -1
- config/deployment_config.yaml +22 -0
- config/resolved/at/config.yaml +175 -0
- config/resolved/at/overrides.yaml +4 -0
- config/resolved/ldp/config.yaml +270 -0
- config/resolved/ldp/overrides.yaml +9 -0
- normalization/normalizer.pkl +3 -0
README.md
CHANGED
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@@ -14,8 +14,12 @@ Reactive Diffusion Policy trained on `real_single_flexiv_tactar_flipbox`.
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- `checkpoints/at/latest.ckpt`: final Action Tokenizer checkpoint (epoch 600).
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- `checkpoints/ldp/latest.ckpt`: final Latent Diffusion Policy checkpoint (epoch 400, global step 21252).
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-
- `
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The observation camera is the single wrist view `wrist_img1`. The policy action has 10 dimensions, selected from the converted 20-dimensional VRR action with indices `[0,1,2,3,4,5,6,7,8,19]`.
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Both AT and LDP checkpoints are required by the RDP runtime.
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- `checkpoints/at/latest.ckpt`: final Action Tokenizer checkpoint (epoch 600).
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- `checkpoints/ldp/latest.ckpt`: final Latent Diffusion Policy checkpoint (epoch 400, global step 21252).
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+
- `normalization/normalizer.pkl`: exact LDP normalizer computed during training, including action, pose, gripper, wrench, wrist-image and latent-action fields.
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- `config/resolved/{at,ldp}/config.yaml`: fully resolved Hydra configurations saved by each training stage.
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- `config/task/*.yaml`: source task shape and action-index configuration.
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- `config/deployment_config.yaml`: portable relative checkpoint paths and endpoint input contract.
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The observation camera is the single wrist view `wrist_img1`. The policy action has 10 dimensions, selected from the converted 20-dimensional VRR action with indices `[0,1,2,3,4,5,6,7,8,19]`.
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Both AT and LDP checkpoints are required by the RDP runtime.
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+
When using the resolved LDP Hydra config after download, override its original absolute `at_load_dir` with `checkpoints/at/latest.ckpt` and set the LDP checkpoint path to `checkpoints/ldp/latest.ckpt`.
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config/deployment_config.yaml
ADDED
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@@ -0,0 +1,22 @@
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model: rdp
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task: real_single_flexiv_tactar_flipbox
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camera_keys:
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- wrist_img1
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checkpoint_paths:
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at: checkpoints/at/latest.ckpt
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ldp: checkpoints/ldp/latest.ckpt
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normalizer_path: normalization/normalizer.pkl
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runtime:
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num_inference_steps: 8
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horizon: 16
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n_obs_steps: 2
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observation_temporal_downsample_ratio: 2
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action:
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shape: 10
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source_vrr_indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 19]
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observation_shapes:
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wrist_img1: [3, 480, 640]
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left_robot_tcp_pose: [9]
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left_robot_gripper_width: [1]
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left_robot_tcp_wrench: [6]
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config/resolved/at/config.yaml
ADDED
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@@ -0,0 +1,175 @@
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task:
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name: real_tactar_flipbox_wrist_wrench_at_10fps
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dataset_path: /inspire/qb-ilm2/project/robot-body/xuzijun-253108540220/real_single_flexiv_tactar_flipbox_vrr_zarr
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shape_meta:
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obs:
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left_robot_tcp_pose:
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shape:
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- 9
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type: low_dim
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left_robot_gripper_width:
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shape:
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- 1
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type: low_dim
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left_robot_tcp_wrench:
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shape:
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- 6
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type: low_dim
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extended_obs:
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left_robot_tcp_wrench:
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shape:
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- 6
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type: low_dim
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action:
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shape:
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- 10
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dataset:
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_target_: reactive_diffusion_policy.dataset.real_image_tactile_dataset.RealImageTactileDataset
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shape_meta:
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obs:
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left_robot_tcp_pose:
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shape:
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- 9
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type: low_dim
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left_robot_gripper_width:
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shape:
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- 1
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type: low_dim
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left_robot_tcp_wrench:
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shape:
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- 6
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type: low_dim
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extended_obs:
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left_robot_tcp_wrench:
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shape:
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- 6
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type: low_dim
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action:
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shape:
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- 10
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dataset_path: ${task.dataset_path}
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horizon: ${horizon}
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pad_before: ${eval:'${dataset_obs_steps}-1+${n_latency_steps}'}
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pad_after: ${eval:'${n_action_steps}-1'}
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n_obs_steps: ${dataset_obs_steps}
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+
obs_temporal_downsample_ratio: ${dataset_obs_temporal_downsample_ratio}
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n_latency_steps: ${n_latency_steps}
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| 57 |
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seed: 42
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val_ratio: 0.05
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| 59 |
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max_train_episodes: null
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delta_action: false
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relative_action: true
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transform_params: null
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action_indices:
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- 0
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- 1
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- 2
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- 3
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- 4
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- 5
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- 6
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- 7
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- 8
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- 19
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at:
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horizon: 16
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n_obs_steps: 2
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dataset_obs_temporal_downsample_ratio: 1
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policy:
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horizon: ${horizon}
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n_latent_dims: 8
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mlp_layer_num: 1
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use_conv_encoder: true
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conv_latent_dims: 32
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| 84 |
+
conv_layer_num: 1
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| 85 |
+
use_rnn_decoder: true
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| 86 |
+
rnn_latent_dims: 32
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rnn_layer_num: 1
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+
kl_multiplier: 1.0e-06
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| 89 |
+
n_embed: 16
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| 90 |
+
use_vq: false
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| 91 |
+
vqvae_groups: 4
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+
eval: false
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| 93 |
+
act_scale: 1
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| 94 |
+
name: train_vae
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+
_target_: reactive_diffusion_policy.workspace.train_at_workspace.TrainATWorkspace
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task_name: ${task.name}
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+
shape_meta: ${task.shape_meta}
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+
exp_name: default
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horizon: ${at.horizon}
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+
n_obs_steps: ${at.n_obs_steps}
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| 101 |
+
n_latency_steps: 0
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| 102 |
+
dataset_obs_steps: ${eval:'${n_obs_steps}*${at.dataset_obs_temporal_downsample_ratio}'}
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| 103 |
+
dataset_obs_temporal_downsample_ratio: ${at.dataset_obs_temporal_downsample_ratio}
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| 104 |
+
n_action_steps: ${eval:'${horizon}-${dataset_obs_steps}+1'}
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| 105 |
+
policy:
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| 106 |
+
_target_: reactive_diffusion_policy.model.vae.model.VAE
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| 107 |
+
shape_meta: ${task.shape_meta}
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| 108 |
+
horizon: ${horizon}
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| 109 |
+
n_latent_dims: ${at.policy.n_latent_dims}
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| 110 |
+
mlp_layer_num: ${at.policy.mlp_layer_num}
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| 111 |
+
use_conv_encoder: ${at.policy.use_conv_encoder}
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| 112 |
+
conv_latent_dims: ${at.policy.conv_latent_dims}
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| 113 |
+
conv_layer_num: ${at.policy.conv_layer_num}
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| 114 |
+
use_rnn_decoder: ${at.policy.use_rnn_decoder}
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| 115 |
+
rnn_latent_dims: ${at.policy.rnn_latent_dims}
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| 116 |
+
rnn_layer_num: ${at.policy.rnn_layer_num}
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| 117 |
+
kl_multiplier: ${at.policy.kl_multiplier}
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| 118 |
+
n_embed: ${at.policy.n_embed}
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| 119 |
+
use_vq: ${at.policy.use_vq}
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| 120 |
+
vqvae_groups: ${at.policy.vqvae_groups}
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| 121 |
+
eval: ${at.policy.eval}
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| 122 |
+
act_scale: ${at.policy.act_scale}
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| 123 |
+
dataloader:
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| 124 |
+
batch_size: 64
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| 125 |
+
num_workers: 4
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| 126 |
+
shuffle: true
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| 127 |
+
pin_memory: true
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| 128 |
+
persistent_workers: true
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| 129 |
+
val_dataloader:
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| 130 |
+
batch_size: 64
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| 131 |
+
num_workers: 4
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| 132 |
+
shuffle: false
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| 133 |
+
pin_memory: true
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| 134 |
+
persistent_workers: true
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| 135 |
+
optimizer:
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| 136 |
+
_target_: torch.optim.AdamW
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| 137 |
+
lr: 0.001
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| 138 |
+
weight_decay: 0.0001
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| 139 |
+
training:
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| 140 |
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device: cuda:0
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| 141 |
+
seed: 42
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| 142 |
+
debug: false
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| 143 |
+
resume: true
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| 144 |
+
lr_scheduler: cosine
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| 145 |
+
lr_warmup_steps: 100
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| 146 |
+
num_epochs: 601
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| 147 |
+
gradient_accumulate_every: 1
|
| 148 |
+
use_ema: false
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| 149 |
+
freeze_encoder: false
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| 150 |
+
rollout_every: -1
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| 151 |
+
checkpoint_every: 10
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| 152 |
+
val_every: 1
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| 153 |
+
sample_every: -1
|
| 154 |
+
max_train_steps: null
|
| 155 |
+
max_val_steps: null
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| 156 |
+
tqdm_interval_sec: 1.0
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| 157 |
+
logging:
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| 158 |
+
project: at
|
| 159 |
+
resume: true
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| 160 |
+
mode: offline
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| 161 |
+
name: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
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| 162 |
+
tags:
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| 163 |
+
- ${name}
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| 164 |
+
- ${task_name}
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| 165 |
+
- ${exp_name}
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| 166 |
+
id: null
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| 167 |
+
group: null
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| 168 |
+
checkpoint:
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| 169 |
+
topk:
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| 170 |
+
monitor_key: train_loss
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| 171 |
+
mode: min
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| 172 |
+
k: 1
|
| 173 |
+
format_str: epoch={epoch:04d}-train_loss={train_loss:.6f}.ckpt
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| 174 |
+
save_last_ckpt: true
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| 175 |
+
save_last_snapshot: false
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config/resolved/at/overrides.yaml
ADDED
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@@ -0,0 +1,4 @@
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- task=real_tactar_flipbox_wrist_wrench_at_10fps
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- at=at_tactar_10fps
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| 3 |
+
- task.dataset_path=/inspire/qb-ilm2/project/robot-body/xuzijun-253108540220/real_single_flexiv_tactar_flipbox_vrr_zarr
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| 4 |
+
- logging.mode=offline
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config/resolved/ldp/config.yaml
ADDED
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@@ -0,0 +1,270 @@
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
task:
|
| 2 |
+
name: real_tactar_flipbox_wrist_wrench_ldp_10fps
|
| 3 |
+
dataset_path: /inspire/qb-ilm2/project/robot-body/xuzijun-253108540220/real_single_flexiv_tactar_flipbox_vrr_zarr
|
| 4 |
+
image_shape:
|
| 5 |
+
- 3
|
| 6 |
+
- 480
|
| 7 |
+
- 640
|
| 8 |
+
shape_meta:
|
| 9 |
+
obs:
|
| 10 |
+
wrist_img1:
|
| 11 |
+
shape: ${task.image_shape}
|
| 12 |
+
type: rgb
|
| 13 |
+
left_robot_tcp_pose:
|
| 14 |
+
shape:
|
| 15 |
+
- 9
|
| 16 |
+
type: low_dim
|
| 17 |
+
left_robot_gripper_width:
|
| 18 |
+
shape:
|
| 19 |
+
- 1
|
| 20 |
+
type: low_dim
|
| 21 |
+
left_robot_tcp_wrench:
|
| 22 |
+
shape:
|
| 23 |
+
- 6
|
| 24 |
+
type: low_dim
|
| 25 |
+
extended_obs:
|
| 26 |
+
left_robot_tcp_wrench:
|
| 27 |
+
shape:
|
| 28 |
+
- 6
|
| 29 |
+
type: low_dim
|
| 30 |
+
action:
|
| 31 |
+
shape:
|
| 32 |
+
- 10
|
| 33 |
+
dataset:
|
| 34 |
+
_target_: reactive_diffusion_policy.dataset.real_image_tactile_latent_diffusion_dataset.RealImageTactileLatentDiffusionDataset
|
| 35 |
+
shape_meta:
|
| 36 |
+
obs:
|
| 37 |
+
wrist_img1:
|
| 38 |
+
shape: ${task.image_shape}
|
| 39 |
+
type: rgb
|
| 40 |
+
left_robot_tcp_pose:
|
| 41 |
+
shape:
|
| 42 |
+
- 9
|
| 43 |
+
type: low_dim
|
| 44 |
+
left_robot_gripper_width:
|
| 45 |
+
shape:
|
| 46 |
+
- 1
|
| 47 |
+
type: low_dim
|
| 48 |
+
left_robot_tcp_wrench:
|
| 49 |
+
shape:
|
| 50 |
+
- 6
|
| 51 |
+
type: low_dim
|
| 52 |
+
extended_obs:
|
| 53 |
+
left_robot_tcp_wrench:
|
| 54 |
+
shape:
|
| 55 |
+
- 6
|
| 56 |
+
type: low_dim
|
| 57 |
+
action:
|
| 58 |
+
shape:
|
| 59 |
+
- 10
|
| 60 |
+
dataset_path: ${task.dataset_path}
|
| 61 |
+
horizon: ${horizon}
|
| 62 |
+
pad_before: ${eval:'${dataset_obs_steps}-1+${n_latency_steps}'}
|
| 63 |
+
pad_after: ${eval:'${n_action_steps}-1'}
|
| 64 |
+
n_obs_steps: ${dataset_obs_steps}
|
| 65 |
+
obs_temporal_downsample_ratio: ${dataset_obs_temporal_downsample_ratio}
|
| 66 |
+
n_latency_steps: ${n_latency_steps}
|
| 67 |
+
seed: 42
|
| 68 |
+
val_ratio: 0.05
|
| 69 |
+
max_train_episodes: null
|
| 70 |
+
delta_action: false
|
| 71 |
+
relative_action: true
|
| 72 |
+
transform_params: null
|
| 73 |
+
action_indices:
|
| 74 |
+
- 0
|
| 75 |
+
- 1
|
| 76 |
+
- 2
|
| 77 |
+
- 3
|
| 78 |
+
- 4
|
| 79 |
+
- 5
|
| 80 |
+
- 6
|
| 81 |
+
- 7
|
| 82 |
+
- 8
|
| 83 |
+
- 19
|
| 84 |
+
use_latent_action_before_vq: false
|
| 85 |
+
at:
|
| 86 |
+
_target_: reactive_diffusion_policy.model.vae.model.VAE
|
| 87 |
+
shape_meta: ${shape_meta}
|
| 88 |
+
horizon: ${at.policy.horizon}
|
| 89 |
+
n_latent_dims: ${at.policy.n_latent_dims}
|
| 90 |
+
mlp_layer_num: ${at.policy.mlp_layer_num}
|
| 91 |
+
use_conv_encoder: ${at.policy.use_conv_encoder}
|
| 92 |
+
conv_latent_dims: ${at.policy.conv_latent_dims}
|
| 93 |
+
conv_layer_num: ${at.policy.conv_layer_num}
|
| 94 |
+
use_rnn_decoder: ${at.policy.use_rnn_decoder}
|
| 95 |
+
rnn_latent_dims: ${at.policy.rnn_latent_dims}
|
| 96 |
+
rnn_layer_num: ${at.policy.rnn_layer_num}
|
| 97 |
+
use_vq: ${at.policy.use_vq}
|
| 98 |
+
n_embed: ${at.policy.n_embed}
|
| 99 |
+
vqvae_groups: ${at.policy.vqvae_groups}
|
| 100 |
+
eval: true
|
| 101 |
+
load_dir: ${at_load_dir}
|
| 102 |
+
act_scale: ${at.policy.act_scale}
|
| 103 |
+
at:
|
| 104 |
+
horizon: 16
|
| 105 |
+
n_obs_steps: 2
|
| 106 |
+
dataset_obs_temporal_downsample_ratio: 1
|
| 107 |
+
policy:
|
| 108 |
+
horizon: ${horizon}
|
| 109 |
+
n_latent_dims: 8
|
| 110 |
+
mlp_layer_num: 1
|
| 111 |
+
use_conv_encoder: true
|
| 112 |
+
conv_latent_dims: 32
|
| 113 |
+
conv_layer_num: 1
|
| 114 |
+
use_rnn_decoder: true
|
| 115 |
+
rnn_latent_dims: 32
|
| 116 |
+
rnn_layer_num: 1
|
| 117 |
+
kl_multiplier: 1.0e-06
|
| 118 |
+
n_embed: 16
|
| 119 |
+
use_vq: false
|
| 120 |
+
vqvae_groups: 4
|
| 121 |
+
eval: false
|
| 122 |
+
act_scale: 1
|
| 123 |
+
name: train_latent_diffusion_unet_image
|
| 124 |
+
_target_: reactive_diffusion_policy.workspace.train_diffusion_unet_image_workspace.TrainDiffusionUnetImageWorkspace
|
| 125 |
+
task_name: ${task.name}
|
| 126 |
+
shape_meta: ${task.shape_meta}
|
| 127 |
+
exp_name: default
|
| 128 |
+
horizon: ${at.horizon}
|
| 129 |
+
n_obs_steps: ${at.n_obs_steps}
|
| 130 |
+
n_latency_steps: 0
|
| 131 |
+
obs_temporal_downsample_ratio: 2
|
| 132 |
+
dataset_obs_steps: ${eval:'${at.n_obs_steps}*${at.dataset_obs_temporal_downsample_ratio}'}
|
| 133 |
+
dataset_obs_temporal_downsample_ratio: ${at.dataset_obs_temporal_downsample_ratio}
|
| 134 |
+
n_action_steps: ${eval:'${horizon}-${dataset_obs_steps}+1'}
|
| 135 |
+
past_action_visible: false
|
| 136 |
+
keypoint_visible_rate: 1.0
|
| 137 |
+
at_load_dir: /inspire/qb-ilm2/project/robot-body/xuzijun-253108540220/reactive_diffusion_policy/runs/tactar_flipbox_rdp/20260801_0458/at/checkpoints/latest.ckpt
|
| 138 |
+
use_latent_action_before_vq: false
|
| 139 |
+
obs_as_global_cond: true
|
| 140 |
+
policy:
|
| 141 |
+
_target_: reactive_diffusion_policy.policy.latent_diffusion_unet_image_policy.LatentDiffusionUnetImagePolicy
|
| 142 |
+
shape_meta: ${shape_meta}
|
| 143 |
+
noise_scheduler:
|
| 144 |
+
_target_: diffusers.schedulers.scheduling_ddim.DDIMScheduler
|
| 145 |
+
num_train_timesteps: 100
|
| 146 |
+
beta_start: 0.0001
|
| 147 |
+
beta_end: 0.02
|
| 148 |
+
beta_schedule: squaredcos_cap_v2
|
| 149 |
+
clip_sample: true
|
| 150 |
+
set_alpha_to_one: true
|
| 151 |
+
steps_offset: 0
|
| 152 |
+
prediction_type: epsilon
|
| 153 |
+
obs_encoder:
|
| 154 |
+
_target_: reactive_diffusion_policy.model.vision.multi_image_obs_encoder.MultiImageObsEncoder
|
| 155 |
+
shape_meta: ${shape_meta}
|
| 156 |
+
rgb_model:
|
| 157 |
+
_target_: reactive_diffusion_policy.model.vision.model_getter.get_resnet
|
| 158 |
+
name: resnet18
|
| 159 |
+
weights: null
|
| 160 |
+
resize_shape:
|
| 161 |
+
- 240
|
| 162 |
+
- 320
|
| 163 |
+
random_transforms:
|
| 164 |
+
- type: RandomCrop
|
| 165 |
+
ratio: 0.9
|
| 166 |
+
use_group_norm: true
|
| 167 |
+
share_rgb_model: false
|
| 168 |
+
imagenet_norm: true
|
| 169 |
+
use_latent_action_before_vq: ${use_latent_action_before_vq}
|
| 170 |
+
at:
|
| 171 |
+
_target_: reactive_diffusion_policy.model.vae.model.VAE
|
| 172 |
+
shape_meta: ${shape_meta}
|
| 173 |
+
horizon: ${at.policy.horizon}
|
| 174 |
+
n_latent_dims: ${at.policy.n_latent_dims}
|
| 175 |
+
mlp_layer_num: ${at.policy.mlp_layer_num}
|
| 176 |
+
use_conv_encoder: ${at.policy.use_conv_encoder}
|
| 177 |
+
conv_latent_dims: ${at.policy.conv_latent_dims}
|
| 178 |
+
conv_layer_num: ${at.policy.conv_layer_num}
|
| 179 |
+
use_rnn_decoder: ${at.policy.use_rnn_decoder}
|
| 180 |
+
rnn_latent_dims: ${at.policy.rnn_latent_dims}
|
| 181 |
+
rnn_layer_num: ${at.policy.rnn_layer_num}
|
| 182 |
+
use_vq: ${at.policy.use_vq}
|
| 183 |
+
n_embed: ${at.policy.n_embed}
|
| 184 |
+
vqvae_groups: ${at.policy.vqvae_groups}
|
| 185 |
+
eval: true
|
| 186 |
+
load_dir: ${at_load_dir}
|
| 187 |
+
act_scale: ${at.policy.act_scale}
|
| 188 |
+
horizon: ${horizon}
|
| 189 |
+
n_action_steps: ${eval:'${n_action_steps}+${n_latency_steps}'}
|
| 190 |
+
n_obs_steps: ${n_obs_steps}
|
| 191 |
+
num_inference_steps: 100
|
| 192 |
+
obs_as_global_cond: ${obs_as_global_cond}
|
| 193 |
+
diffusion_step_embed_dim: 128
|
| 194 |
+
down_dims:
|
| 195 |
+
- 512
|
| 196 |
+
- 1024
|
| 197 |
+
- 2048
|
| 198 |
+
kernel_size: 5
|
| 199 |
+
n_groups: 8
|
| 200 |
+
cond_predict_scale: true
|
| 201 |
+
ema:
|
| 202 |
+
_target_: reactive_diffusion_policy.model.diffusion.ema_model.EMAModel
|
| 203 |
+
update_after_step: 0
|
| 204 |
+
inv_gamma: 1.0
|
| 205 |
+
power: 0.75
|
| 206 |
+
min_value: 0.0
|
| 207 |
+
max_value: 0.9999
|
| 208 |
+
dataloader:
|
| 209 |
+
batch_size: 64
|
| 210 |
+
num_workers: 0
|
| 211 |
+
shuffle: true
|
| 212 |
+
pin_memory: true
|
| 213 |
+
persistent_workers: false
|
| 214 |
+
val_dataloader:
|
| 215 |
+
batch_size: 64
|
| 216 |
+
num_workers: 0
|
| 217 |
+
shuffle: false
|
| 218 |
+
pin_memory: true
|
| 219 |
+
persistent_workers: false
|
| 220 |
+
optimizer:
|
| 221 |
+
_target_: torch.optim.AdamW
|
| 222 |
+
lr: 0.0001
|
| 223 |
+
betas:
|
| 224 |
+
- 0.95
|
| 225 |
+
- 0.999
|
| 226 |
+
eps: 1.0e-08
|
| 227 |
+
weight_decay: 1.0e-06
|
| 228 |
+
encoder_weight_decay: 1.0e-06
|
| 229 |
+
training:
|
| 230 |
+
device: cuda:0
|
| 231 |
+
seed: 42
|
| 232 |
+
debug: false
|
| 233 |
+
resume: true
|
| 234 |
+
lr_scheduler: cosine
|
| 235 |
+
lr_warmup_steps: 500
|
| 236 |
+
num_epochs: 401
|
| 237 |
+
gradient_accumulate_every: 1
|
| 238 |
+
use_ema: true
|
| 239 |
+
freeze_encoder: false
|
| 240 |
+
rollout_every: 50
|
| 241 |
+
checkpoint_every: 10
|
| 242 |
+
val_every: 1
|
| 243 |
+
sample_every: 10
|
| 244 |
+
max_train_steps: null
|
| 245 |
+
max_val_steps: null
|
| 246 |
+
tqdm_interval_sec: 1.0
|
| 247 |
+
layer_decay: 1.0
|
| 248 |
+
encoder_lr_coefficient: 0.1
|
| 249 |
+
logging:
|
| 250 |
+
project: latent_diffusion_policy_tactile
|
| 251 |
+
resume: true
|
| 252 |
+
mode: offline
|
| 253 |
+
name: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
|
| 254 |
+
tags:
|
| 255 |
+
- ${name}
|
| 256 |
+
- ${task_name}
|
| 257 |
+
- ${exp_name}
|
| 258 |
+
id: null
|
| 259 |
+
group: null
|
| 260 |
+
checkpoint:
|
| 261 |
+
topk:
|
| 262 |
+
monitor_key: train_loss
|
| 263 |
+
mode: min
|
| 264 |
+
k: 1
|
| 265 |
+
format_str: epoch={epoch:04d}-train_loss={train_loss:.3f}.ckpt
|
| 266 |
+
save_last_ckpt: true
|
| 267 |
+
save_last_snapshot: false
|
| 268 |
+
multi_run:
|
| 269 |
+
run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name}
|
| 270 |
+
wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name}
|
config/resolved/ldp/overrides.yaml
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- task=real_tactar_flipbox_wrist_wrench_ldp_10fps
|
| 2 |
+
- at=at_tactar_10fps
|
| 3 |
+
- at_load_dir=/inspire/qb-ilm2/project/robot-body/xuzijun-253108540220/reactive_diffusion_policy/runs/tactar_flipbox_rdp/20260801_0458/at/checkpoints/latest.ckpt
|
| 4 |
+
- task.dataset_path=/inspire/qb-ilm2/project/robot-body/xuzijun-253108540220/real_single_flexiv_tactar_flipbox_vrr_zarr
|
| 5 |
+
- dataloader.num_workers=0
|
| 6 |
+
- dataloader.persistent_workers=False
|
| 7 |
+
- val_dataloader.num_workers=0
|
| 8 |
+
- val_dataloader.persistent_workers=False
|
| 9 |
+
- logging.mode=offline
|
normalization/normalizer.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5552adfe78956d6973aefc76121ded8bcc6b0447a02d8b28d1b3fcf7c93073b1
|
| 3 |
+
size 14383
|