add adroit and metaworld models

codec_models/vqgan/adroit/.hydra/config.yaml

@@ -0,0 +1,27 @@
+cwd: ${hydra:runtime.output_dir}
+domain: adroit
+multi_task: true
+latent_dim: 64
+code_dim: 64
+num_codebook_vectors: 1024
+channels:
+- 128
+- 128
+- 256
+- 256
+resolution: ${image_size}
+latent_size: 8
+image_size: 64
+image_channels: 3
+beta: 0.25
+device: cuda
+batch_size: 32
+epochs: 200
+learning_rate: 0.0001
+beta1: 0.5
+beta2: 0.9
+disc_start: 1000
+disc_factor: 0.1
+rec_loss_factor: 1
+perceptual_loss_factor: 0.1
+dataset_path: /video_dataset/${domain}

codec_models/vqgan/adroit/.hydra/hydra.yaml

@@ -0,0 +1,149 @@
+hydra:
+  run:
+    dir: ./exp_local/codec_models/vqgan/${domain}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra: []
+    task: []
+  job:
+    name: train_vqgan
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: default
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.1.0
+    cwd: /home/taohuang/project/qizhi/diffusion_reward
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/taohuang/project/qizhi/diffusion_reward/diffusion_reward/configs/models/codec_models/vqgan
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    choices:
+      dataset: adroit
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

codec_models/vqgan/adroit/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

codec_models/vqgan/adroit/results/checkpoints/vqgan.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de5ccf980e989bb448f2717ae91ab86b741264c908282f1a5da35f6e58423eaf
+size 82011687

codec_models/vqgan/metaworld/.hydra/config.yaml

@@ -0,0 +1,27 @@
+cwd: ${hydra:runtime.output_dir}
+domain: adroit
+multi_task: true
+latent_dim: 64
+code_dim: 64
+num_codebook_vectors: 1024
+channels:
+- 128
+- 128
+- 256
+- 256
+resolution: ${image_size}
+latent_size: 8
+image_size: 64
+image_channels: 3
+beta: 0.25
+device: cuda
+batch_size: 32
+epochs: 200
+learning_rate: 0.0001
+beta1: 0.5
+beta2: 0.9
+disc_start: 1000
+disc_factor: 0.1
+rec_loss_factor: 1
+perceptual_loss_factor: 0.1
+dataset_path: /video_dataset/${domain}

codec_models/vqgan/metaworld/.hydra/hydra.yaml

@@ -0,0 +1,149 @@
+hydra:
+  run:
+    dir: ./exp_local/codec_models/vqgan/${domain}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra: []
+    task: []
+  job:
+    name: train_vqgan
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: default
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.1.0
+    cwd: /home/taohuang/project/qizhi/diffusion_reward
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/taohuang/project/qizhi/diffusion_reward/diffusion_reward/configs/models/codec_models/vqgan
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    choices:
+      dataset: adroit
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

codec_models/vqgan/metaworld/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

codec_models/vqgan/metaworld/results/checkpoints/vqgan.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33b49c108438396006f773bbab5cca8b9b43b2d229957eee3b53e6f3a63dc07a
+size 82011687

video_models/vqdiffusion/adroit/.hydra/config.yaml

@@ -0,0 +1,161 @@
+#cwd: ${hydra:runtime.output_dir}
+name: adroit
+log_frequency: 100
+load_path: null
+resume_name: null
+auto_resume: false
+num_node: 1
+node_rank: null
+dist_usrl: null
+gpu: 0
+sync_bn: false
+tensorboard: false
+timestamp: false
+seed: null
+cudnn_deterministic: false
+amp: false
+debug: false
+opts: null
+solver:
+  base_lr: 3.0e-06
+  adjust_lr: none
+  max_epochs: 100
+  save_epochs: 20
+  validation_epochs: 1
+  sample_iterations: 400
+  print_specific_things: true
+  ema:
+    decay: 0.99
+    update_interval: 25
+    device: cpu
+  clip_grad_norm:
+    target: diffusion_reward.models.video_models.vqdiffusion.engine.clip_grad_norm.ClipGradNorm
+    params:
+      start_iteration: 0
+      end_iteration: 5000
+      max_norm: 0.5
+  optimizers_and_schedulers:
+  - name: none
+    optimizer:
+      target: torch.optim.AdamW
+      params:
+        betas:
+        - 0.9
+        - 0.96
+        weight_decay: 0.045
+    scheduler:
+      step_iteration: 1
+      target: diffusion_reward.models.video_models.vqdiffusion.engine.lr_scheduler.ReduceLROnPlateauWithWarmup
+      params:
+        factor: 0.5
+        patience: 100000
+        min_lr: 1.0e-06
+        threshold: 0.1
+        threshold_mode: rel
+        warmup_lr: 0.00045
+        warmup: 5000
+save_dir: ???
+dist_url: ???
+ngpus_per_node: ???
+world_size: ???
+local_rank: ???
+global_rank: ???
+distributed: false
+model:
+  target: diffusion_reward.models.video_models.vqdiffusion.modeling.models.frame_conditional_dalle.FC_DALLE
+  params:
+    content_info:
+      key: image
+    condition_info:
+      key: frame
+    frame_skip: 1
+    content_codec_config:
+      target: diffusion_reward.models.video_models.vqdiffusion.modeling.codecs.image_codec.vqgan.MiniVQGAN
+      params:
+        args:
+          latent_dim: 64
+          device: cuda
+          image_channels: 3
+          num_codebook_vectors: 1024
+          beta: 0.25
+          channels:
+          - 128
+          - 128
+          - 256
+          - 256
+          resolution: 64
+          latent_size: 8
+        trainable: false
+        token_shape:
+        - 8
+        - 8
+        ckpt_path: /exp_local/codec_models/vqgan/adroit/results/checkpoints/vqgan.pt
+    diffusion_config:
+      target: diffusion_reward.models.video_models.vqdiffusion.modeling.transformers.diffusion_transformer.DiffusionTransformer
+      params:
+        diffusion_step: 100
+        alpha_init_type: alpha1
+        auxiliary_loss_weight: 0.001
+        adaptive_auxiliary_loss: true
+        mask_weight:
+        - 1
+        - 1
+        transformer_config:
+          target: diffusion_reward.models.video_models.vqdiffusion.modeling.transformers.transformer_utils.Text2ImageTransformer
+          params:
+            diffusion_step: ???
+            content_emb_config: ???
+            attn_type: selfcross
+            n_layer: 16
+            condition_seq_len: 128
+            content_seq_len: 64
+            content_spatial_size:
+            - 8
+            - 8
+            n_embd: 128
+            condition_dim: 1024
+            n_head: 16
+            attn_pdrop: 0.0
+            resid_pdrop: 0.0
+            block_activate: GELU2
+            timestep_type: adalayernorm
+            mlp_hidden_times: 2
+            mlp_type: conv_mlp
+        condition_emb_config:
+          target: diffusion_reward.models.video_models.vqdiffusion.modeling.embeddings.frame_embedding.FrameEmbedding
+          params:
+            num_embed: 1024
+            embed_dim: 1024
+            identity: false
+            trainable: true
+            num_cond_frames: 2
+        content_emb_config:
+          target: diffusion_reward.models.video_models.vqdiffusion.modeling.embeddings.dalle_mask_image_embedding.DalleMaskImageEmbedding
+          params:
+            num_embed: 1024
+            spatial_size:
+            - 8
+            - 8
+            embed_dim: 128
+            trainable: true
+            pos_emb_type: embedding
+dataloader:
+  data_root: /video_dataset/adroit/
+  batch_size: 4
+  num_workers: 4
+  train_datasets:
+  - target: diffusion_reward.models.video_models.vqdiffusion.data.dataset.VideoDataset
+    params:
+      data_root: ${dataloader.data_root}
+      phase: train
+      frame_skip: ${model.params.frame_skip}
+      frames_per_sample: 3
+      size: 64
+  validation_datasets:
+  - target: diffusion_reward.models.video_models.vqdiffusion.data.dataset.VideoDataset
+    params:
+      data_root: ${dataloader.data_root}
+      phase: test
+      frame_skip: ${model.params.frame_skip}
+      frames_per_sample: 3
+      size: 64

video_models/vqdiffusion/adroit/.hydra/hydra.yaml

@@ -0,0 +1,149 @@
+hydra:
+  run:
+    dir: ./exp_local/video_models/vqdiffusion/${exp_name}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra: []
+    task: []
+  job:
+    name: train_vqdiffusion
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: default
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.1.0
+    cwd: /home/taohuang/project/qizhi/diffusion_reward
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/taohuang/project/qizhi/diffusion_reward/diffusion_reward/configs/models/video_models/vqdiffusion
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    choices:
+      dataset: adroit
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

video_models/vqdiffusion/adroit/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

video_models/vqdiffusion/adroit/checkpoint/best.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c789fda9ffd9ffe722dc5ab0df670a30b254317b227fdd4541c121b63dc3c12
+size 363113107

video_models/vqdiffusion/metaworld/.hydra/config.yaml

@@ -0,0 +1,161 @@
+#cwd: ${hydra:runtime.output_dir}
+name: adroit
+log_frequency: 100
+load_path: null
+resume_name: null
+auto_resume: false
+num_node: 1
+node_rank: null
+dist_usrl: null
+gpu: 0
+sync_bn: false
+tensorboard: false
+timestamp: false
+seed: null
+cudnn_deterministic: false
+amp: false
+debug: false
+opts: null
+solver:
+  base_lr: 3.0e-06
+  adjust_lr: none
+  max_epochs: 100
+  save_epochs: 20
+  validation_epochs: 1
+  sample_iterations: 400
+  print_specific_things: true
+  ema:
+    decay: 0.99
+    update_interval: 25
+    device: cpu
+  clip_grad_norm:
+    target: diffusion_reward.models.video_models.vqdiffusion.engine.clip_grad_norm.ClipGradNorm
+    params:
+      start_iteration: 0
+      end_iteration: 5000
+      max_norm: 0.5
+  optimizers_and_schedulers:
+  - name: none
+    optimizer:
+      target: torch.optim.AdamW
+      params:
+        betas:
+        - 0.9
+        - 0.96
+        weight_decay: 0.045
+    scheduler:
+      step_iteration: 1
+      target: diffusion_reward.models.video_models.vqdiffusion.engine.lr_scheduler.ReduceLROnPlateauWithWarmup
+      params:
+        factor: 0.5
+        patience: 100000
+        min_lr: 1.0e-06
+        threshold: 0.1
+        threshold_mode: rel
+        warmup_lr: 0.00045
+        warmup: 5000
+save_dir: ???
+dist_url: ???
+ngpus_per_node: ???
+world_size: ???
+local_rank: ???
+global_rank: ???
+distributed: false
+model:
+  target: diffusion_reward.models.video_models.vqdiffusion.modeling.models.frame_conditional_dalle.FC_DALLE
+  params:
+    content_info:
+      key: image
+    condition_info:
+      key: frame
+    frame_skip: 1
+    content_codec_config:
+      target: diffusion_reward.models.video_models.vqdiffusion.modeling.codecs.image_codec.vqgan.MiniVQGAN
+      params:
+        args:
+          latent_dim: 64
+          device: cuda
+          image_channels: 3
+          num_codebook_vectors: 1024
+          beta: 0.25
+          channels:
+          - 128
+          - 128
+          - 256
+          - 256
+          resolution: 64
+          latent_size: 8
+        trainable: false
+        token_shape:
+        - 8
+        - 8
+        ckpt_path: /exp_local/codec_models/vqgan/adroit/results/checkpoints/vqgan.pt
+    diffusion_config:
+      target: diffusion_reward.models.video_models.vqdiffusion.modeling.transformers.diffusion_transformer.DiffusionTransformer
+      params:
+        diffusion_step: 100
+        alpha_init_type: alpha1
+        auxiliary_loss_weight: 0.001
+        adaptive_auxiliary_loss: true
+        mask_weight:
+        - 1
+        - 1
+        transformer_config:
+          target: diffusion_reward.models.video_models.vqdiffusion.modeling.transformers.transformer_utils.Text2ImageTransformer
+          params:
+            diffusion_step: ???
+            content_emb_config: ???
+            attn_type: selfcross
+            n_layer: 16
+            condition_seq_len: 128
+            content_seq_len: 64
+            content_spatial_size:
+            - 8
+            - 8
+            n_embd: 128
+            condition_dim: 1024
+            n_head: 16
+            attn_pdrop: 0.0
+            resid_pdrop: 0.0
+            block_activate: GELU2
+            timestep_type: adalayernorm
+            mlp_hidden_times: 2
+            mlp_type: conv_mlp
+        condition_emb_config:
+          target: diffusion_reward.models.video_models.vqdiffusion.modeling.embeddings.frame_embedding.FrameEmbedding
+          params:
+            num_embed: 1024
+            embed_dim: 1024
+            identity: false
+            trainable: true
+            num_cond_frames: 2
+        content_emb_config:
+          target: diffusion_reward.models.video_models.vqdiffusion.modeling.embeddings.dalle_mask_image_embedding.DalleMaskImageEmbedding
+          params:
+            num_embed: 1024
+            spatial_size:
+            - 8
+            - 8
+            embed_dim: 128
+            trainable: true
+            pos_emb_type: embedding
+dataloader:
+  data_root: /video_dataset/adroit/
+  batch_size: 4
+  num_workers: 4
+  train_datasets:
+  - target: diffusion_reward.models.video_models.vqdiffusion.data.dataset.VideoDataset
+    params:
+      data_root: ${dataloader.data_root}
+      phase: train
+      frame_skip: ${model.params.frame_skip}
+      frames_per_sample: 3
+      size: 64
+  validation_datasets:
+  - target: diffusion_reward.models.video_models.vqdiffusion.data.dataset.VideoDataset
+    params:
+      data_root: ${dataloader.data_root}
+      phase: test
+      frame_skip: ${model.params.frame_skip}
+      frames_per_sample: 3
+      size: 64

video_models/vqdiffusion/metaworld/.hydra/hydra.yaml

@@ -0,0 +1,149 @@
+hydra:
+  run:
+    dir: ./exp_local/video_models/vqdiffusion/${exp_name}
+  sweep:
+    dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][HYDRA] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    loggers:
+      logging_example:
+        level: DEBUG
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: simple
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra: []
+    task: []
+  job:
+    name: train_vqdiffusion
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: default
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.1.0
+    cwd: /home/taohuang/project/qizhi/diffusion_reward
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /home/taohuang/project/qizhi/diffusion_reward/diffusion_reward/configs/models/video_models/vqdiffusion
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    choices:
+      dataset: adroit
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: default
+      hydra/hydra_logging: default
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

video_models/vqdiffusion/metaworld/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

video_models/vqdiffusion/metaworld/checkpoint/best.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb14de82b62cd388c8d5dc4cc3eae36a10405b1461bd3afff42a8d035375d718
+size 362999258