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diff --git a/checkpoints/.hydra/config.yaml b/checkpoints/.hydra/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e0683fd1f44fb77c41970b86fcc2bc734c37cbd0
--- /dev/null
+++ b/checkpoints/.hydra/config.yaml
@@ -0,0 +1,208 @@
+model:
+  encoder:
+    name: dcsplat
+    input_image_shape:
+    - 518
+    - 518
+    head_mode: pcd
+    same_head: false
+    num_level: 3
+    gs_param_dim: 256
+    camera_prompt: false
+    num_visual_prompt: 0
+    use_extrinsic_token: false
+    use_intrinsic_token: false
+    extrinsic_drop: 0.1
+    intrinsic_drop: 0.1
+    use_pnp_solver: false
+    align_corners: false
+    image_scale: 1.0
+    use_uncertainty_token: true
+    gs_bf16: true
+    aggregator_bf16: false
+    img_num_frame_token_N: 0
+    img_num_global_token_N: 0
+    use_gs_param_img_num_embed: true
+    use_mean_param_img_num_embed: false
+  decoder:
+    name: splatting_cuda
+    background_color:
+    - 0.0
+    - 0.0
+    - 0.0
+    make_scale_invariant: false
+    use_gsplat: true
+  density_control:
+    name: density_control_module
+    mean_dim: 32
+    gs_param_dim: 256
+    refinement_layer_num: 1
+    num_level: 3
+    grad_mode: absgrad
+    use_mean_features: true
+    refinement_type: quadtree
+    refinement_hidden_dim: 32
+    aggregation_mode: mean
+    num_heads: 1
+    score_mode: 3
+    sigmoid_score: true
+    latent_dim: 128
+    num_latents: 64
+    num_self_attn_per_block: 2
+render_loss:
+  mse:
+    weight: 1.0
+  lpips:
+    weight: 0.05
+    apply_after_step: 0
+density_control_loss:
+  complex_score:
+    weight: 0.01
+    log_scale: false
+    grad_scale: 5000.0
+    mode: 1
+direct_loss:
+  l1:
+    weight: 0.8
+  ssim:
+    weight: 0.2
+wandb:
+  project: DCSplat
+  entity: scene-representation-group
+  name: 1027_DL3DV_FULL_U
+  mode: online
+  tags:
+  - dl3dv
+  - 224x448
+  - full
+mode: train
+data_loader:
+  train:
+    num_workers: 16
+    persistent_workers: true
+    batch_size: 4
+    seed: 1234
+  test:
+    num_workers: 4
+    persistent_workers: false
+    batch_size: 1
+    seed: 2345
+  val:
+    num_workers: 1
+    persistent_workers: true
+    batch_size: 1
+    seed: 3456
+optimizer:
+  lr: 0.0002
+  warm_up_steps: 125
+  backbone_lr_multiplier: 0.1
+  backbone_trainable: GB+H
+  accumulate: 1
+checkpointing:
+  load: null
+  every_n_train_steps: 9375
+  save_top_k: 1
+  save_weights_only: true
+train:
+  extended_visualization: false
+  print_log_every_n_steps: 10
+  camera_loss: 1.0
+  one_sample_validation: datasets/dl3dv/room_batch.pt
+  align_corners: false
+  intrinsic_scaling: true
+  train_context: true
+  train_hybrid: false
+  use_pred_point_focal: false
+  scaling_detach: true
+  complex_threshold_range:
+  - 0.0
+  - 3.0
+  use_umeyama: false
+  pred_focal_cam_loss: false
+  direct_loss_weight: 0.0
+  direct_iteration_steps: 0
+  twice_backward: false
+  use_uncertainty_camera_weight: true
+  use_target_uncertainty: point_similarity_mult
+  verbose: false
+  complex_random_mode: num_gs_mode3
+  start_density_control: 0.0
+  base_complex_exp_rate: 4.0
+  use_refine_aux: false
+  train_extrinsic: true
+test:
+  output_path: test/full/dl3dv
+  align_pose: false
+  pose_align_steps: 100
+  rot_opt_lr: 0.005
+  trans_opt_lr: 0.005
+  compute_scores: true
+  save_image: false
+  save_video: false
+  save_active_mask_image: false
+  save_complex_score_image: false
+  save_compare: false
+  pred_intrinsic: true
+  complex_threshold: 0.4
+  complex_threshold_list:
+  - 0.0
+  - 0.2
+  - 0.4
+  - 0.6
+  - 0.8
+  threshold_mode: ratio
+  nvs_view_N_list:
+  - 3
+  - 6
+  - 16
+  - 32
+  - 64
+seed: 111123
+trainer:
+  max_steps: 18751
+  val_check_interval: 500
+  gradient_clip_val: 0.5
+  num_nodes: 1
+dataset:
+  dl3dv:
+    make_baseline_1: false
+    relative_pose: true
+    augment: true
+    background_color:
+    - 0.0
+    - 0.0
+    - 0.0
+    overfit_to_scene: null
+    skip_bad_shape: true
+    view_sampler:
+      name: bounded_dl3dv
+      min_target_views: 4
+      num_context_views: 16
+      warm_up_steps: 0
+      max_img_per_gpu: 16
+      min_distance_to_context_views: 0
+      initial_min_distance_between_context_views: 5
+      initial_max_distance_between_context_views: 7
+      min_distance_between_context_views: 32
+      max_distance_between_context_views: 256
+      min_gap_multiplier: 3
+      max_gap_multiplier: 5
+      initial_min_gap_multiplier: 2
+      initial_max_gap_multiplier: 3
+    name: dl3dv
+    roots:
+    - datasets/dl3dv
+    input_image_shape:
+    - 224
+    - 448
+    original_image_shape:
+    - 270
+    - 480
+    cameras_are_circular: false
+    baseline_min: 0.001
+    baseline_max: 100.0
+    max_fov: 100.0
+    avg_pose: false
+    rescale_to_1cube: false
+    intr_augment: false
+    normalize_by_pts3d: false
diff --git a/checkpoints/.hydra/hydra.yaml b/checkpoints/.hydra/hydra.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2c290b5839d187da1a3a797427edd42dc5b0d526
--- /dev/null
+++ b/checkpoints/.hydra/hydra.yaml
@@ -0,0 +1,168 @@
+hydra:
+  run:
+    dir: outputs/full/dl3dv/${wandb.name}
+  sweep:
+    dir: multirun/${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
+    params: 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: ${hydra.runtime.output_dir}/${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.mode=RUN
+    task:
+    - +experiment=dl3dv
+    - wandb.mode=online
+    - wandb.name=1027_DL3DV_FULL_U
+    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+    - optimizer.backbone_trainable=GB+H
+    - model.encoder.use_uncertainty_token=true
+    - train.use_uncertainty_camera_weight=true
+    - train.use_target_uncertainty=point_similarity_mult
+  job:
+    name: main
+    chdir: null
+    override_dirname: +experiment=dl3dv,model.encoder.use_uncertainty_token=true,optimizer.backbone_trainable=GB+H,train.one_sample_validation=datasets/dl3dv/room_batch.pt,train.use_target_uncertainty=point_similarity_mult,train.use_uncertainty_camera_weight=true,wandb.mode=online,wandb.name=1027_DL3DV_FULL_U
+    id: ???
+    num: ???
+    config_name: main
+    env_set: {}
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /root/highspeedstorage/injae_dl3dv/code/CVPR2026
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/config
+      schema: file
+      provider: main
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+    choices:
+      experiment: dl3dv
+      dataset@dataset.dl3dv: dl3dv
+      dataset/view_sampler@dataset.dl3dv.view_sampler: bounded_dl3dv
+      model/density_control: density_control_module
+      model/decoder: splatting_cuda
+      model/encoder: dcsplat
+      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
diff --git a/checkpoints/.hydra/overrides.yaml b/checkpoints/.hydra/overrides.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4fd5f8d3d8bbe32de2ea2714571a7f1c8b26e361
--- /dev/null
+++ b/checkpoints/.hydra/overrides.yaml
@@ -0,0 +1,8 @@
+- +experiment=dl3dv
+- wandb.mode=online
+- wandb.name=1027_DL3DV_FULL_U
+- train.one_sample_validation=datasets/dl3dv/room_batch.pt
+- optimizer.backbone_trainable=GB+H
+- model.encoder.use_uncertainty_token=true
+- train.use_uncertainty_camera_weight=true
+- train.use_target_uncertainty=point_similarity_mult
diff --git a/checkpoints/checkpoints/epoch_19-step_18750.ckpt b/checkpoints/checkpoints/epoch_19-step_18750.ckpt
new file mode 100644
index 0000000000000000000000000000000000000000..29ac4702a52c5be326ec8f5d5aac93a7d9721ba4
--- /dev/null
+++ b/checkpoints/checkpoints/epoch_19-step_18750.ckpt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3609101f2f8a6a696456a1e274d6334c6ad00ad8e101e8538fd38c019c31bc2
+size 4790865675
diff --git a/checkpoints/main.log b/checkpoints/main.log
new file mode 100644
index 0000000000000000000000000000000000000000..272663ac5a049ac4b5511f22055b153b52ebc1e0
--- /dev/null
+++ b/checkpoints/main.log
@@ -0,0 +1,258 @@
+[2025-10-26 19:13:49,064][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:14:19,899][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:14:19,899][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:19:10,336][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:19:16,631][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:19:16,631][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:22:38,182][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:22:44,601][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:22:44,601][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:22:48,867][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:22:54,328][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 19:22:54,329][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:22:54,329][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:22:58,545][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 19:23:34,745][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:23:41,698][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:23:41,698][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:23:45,936][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:23:49,495][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 19:23:49,496][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:23:49,496][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:23:53,646][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 19:24:35,723][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:24:42,666][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:24:42,666][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:24:46,880][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:24:50,494][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 19:24:50,495][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:24:50,495][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:24:54,605][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 19:27:54,048][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:28:00,911][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:28:00,911][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:28:05,191][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:28:08,758][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 19:28:08,760][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:28:08,760][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:28:12,962][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 19:29:11,320][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-26 19:30:13,864][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:30:21,215][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:30:21,215][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:30:25,466][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:30:29,259][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 19:30:29,261][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:30:29,261][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:30:33,394][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 19:33:09,720][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-26 19:34:12,455][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:34:19,263][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:34:19,263][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,347][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=31` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:36:08,105][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 19:36:08,107][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:36:08,107][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:12,202][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 19:36:20,660][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,662][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,662][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/gaussian_num_ratio', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/uncertainty_weight_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('info/global_step', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:38:49,451][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,872][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:48:54,025][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:49:00,901][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:49:00,902][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:49:04,791][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:49:08,489][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 19:49:08,490][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:49:08,490][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:49:12,665][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 19:57:42,595][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:58:14,362][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:58:14,363][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:06:16,400][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:06:23,388][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:06:23,389][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:06:49,706][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:06:56,648][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:06:56,648][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,570][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=31` in the `DataLoader` to improve performance.
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:14:49,566][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:14:56,409][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:14:56,409][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,478][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=31` in the `DataLoader` to improve performance.
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:16:54,700][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+[2025-10-26 20:16:54,701][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:16:54,702][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:59,158][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+[2025-10-26 20:17:07,778][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,781][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/gaussian_num_ratio', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/uncertainty_weight_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('info/global_step', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:19:16,141][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,575][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/train_ddp_process_1.log b/checkpoints/train_ddp_process_1.log
new file mode 100644
index 0000000000000000000000000000000000000000..58a94e8fb21e6eaa0b858509c6a2636c1b2595a5
--- /dev/null
+++ b/checkpoints/train_ddp_process_1.log
@@ -0,0 +1,60 @@
+[2025-10-26 19:14:32,925][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:15:13,857][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:15:13,858][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:34:31,708][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:34:59,037][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:34:59,039][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,872][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:58:29,067][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:59:19,179][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:59:19,179][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:07:10,701][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:08:00,551][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:08:00,553][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:15:09,764][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:15:59,265][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:15:59,266][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/train_ddp_process_2.log b/checkpoints/train_ddp_process_2.log
new file mode 100644
index 0000000000000000000000000000000000000000..d0e4bdd89472d135348b22b53cec845cd2e80d0e
--- /dev/null
+++ b/checkpoints/train_ddp_process_2.log
@@ -0,0 +1,60 @@
+[2025-10-26 19:14:33,607][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:15:15,335][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:15:15,336][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:34:32,796][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:35:16,617][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:35:16,618][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,872][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:58:28,709][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:59:19,161][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:59:19,162][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:07:10,655][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:08:00,478][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:08:00,479][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:15:09,483][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:15:53,583][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:15:53,584][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,572][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/train_ddp_process_3.log b/checkpoints/train_ddp_process_3.log
new file mode 100644
index 0000000000000000000000000000000000000000..6879dc81922d8b236734ce8f1e193abc7ba651c8
--- /dev/null
+++ b/checkpoints/train_ddp_process_3.log
@@ -0,0 +1,60 @@
+[2025-10-26 19:14:32,942][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:15:13,439][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:15:13,440][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:34:32,461][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:35:17,768][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:35:17,769][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,871][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:58:28,667][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:59:18,173][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:59:18,174][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:07:10,993][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:08:00,751][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:08:00,752][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:15:09,744][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:15:59,265][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:15:59,265][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,572][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/train_ddp_process_4.log b/checkpoints/train_ddp_process_4.log
new file mode 100644
index 0000000000000000000000000000000000000000..af79dd5e2bcc0e891e3f84cbceaae1d8dbe88fa8
--- /dev/null
+++ b/checkpoints/train_ddp_process_4.log
@@ -0,0 +1,60 @@
+[2025-10-26 19:14:33,329][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:15:15,690][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:15:15,691][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:34:31,999][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:35:06,682][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:35:06,683][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,871][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:58:29,085][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:59:19,412][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:59:19,412][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:07:10,329][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:07:59,362][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:07:59,364][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:15:09,445][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:15:50,877][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:15:50,879][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,574][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/train_ddp_process_5.log b/checkpoints/train_ddp_process_5.log
new file mode 100644
index 0000000000000000000000000000000000000000..03c55851c2415cdd8dcfc151c0525c43c7240ed9
--- /dev/null
+++ b/checkpoints/train_ddp_process_5.log
@@ -0,0 +1,60 @@
+[2025-10-26 19:14:33,522][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:15:15,319][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:15:15,320][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:34:32,669][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:35:18,350][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:35:18,350][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,871][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:58:28,697][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:59:19,258][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:59:19,258][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:07:10,203][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:07:51,783][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:07:51,806][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:15:10,044][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:15:59,057][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:15:59,059][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,572][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/train_ddp_process_6.log b/checkpoints/train_ddp_process_6.log
new file mode 100644
index 0000000000000000000000000000000000000000..227ac381bc2354f575372ce9d933aa33874a72e1
--- /dev/null
+++ b/checkpoints/train_ddp_process_6.log
@@ -0,0 +1,60 @@
+[2025-10-26 19:14:32,713][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:15:13,028][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:15:13,028][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:34:32,660][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:35:18,282][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:35:18,284][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,871][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:58:29,057][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:59:19,156][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:59:19,156][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:07:10,309][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:08:00,064][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:08:00,075][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,574][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:15:10,093][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:15:59,064][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:15:59,065][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,483][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/train_ddp_process_7.log b/checkpoints/train_ddp_process_7.log
new file mode 100644
index 0000000000000000000000000000000000000000..fe74e5899697f0eb936ebd8b3cba3545329ee53e
--- /dev/null
+++ b/checkpoints/train_ddp_process_7.log
@@ -0,0 +1,60 @@
+[2025-10-26 19:14:31,868][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:14:47,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:14:47,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:34:32,511][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:35:18,264][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:35:18,265][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 19:38:56,871][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 19:58:28,672][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 19:59:19,254][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:59:19,255][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:07:11,021][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:07:57,540][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:07:57,541][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:15:09,721][dinov2][INFO] - using MLP layer as FFN
+[2025-10-26 20:15:59,158][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:15:59,168][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+[2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+[2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+[2025-10-27 07:25:40,572][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
diff --git a/checkpoints/wandb/debug-internal.log b/checkpoints/wandb/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..b7aa36bcfe53fd28d12e4415b397781abc10fddb
--- /dev/null
+++ b/checkpoints/wandb/debug-internal.log
@@ -0,0 +1,11 @@
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+{"time":"2025-10-26T20:16:45.279034875-07:00","level":"INFO","msg":"sender: started","stream_id":"lz1fs5n3"}
+{"time":"2025-10-26T20:16:45.279039651-07:00","level":"INFO","msg":"writer: started","stream_id":"lz1fs5n3"}
+{"time":"2025-10-26T20:16:45.279069591-07:00","level":"INFO","msg":"handler: started","stream_id":"lz1fs5n3"}
+{"time":"2025-10-27T07:26:09.902792125-07:00","level":"INFO","msg":"stream: closing","id":"lz1fs5n3"}
+{"time":"2025-10-27T07:26:10.246399522-07:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
+{"time":"2025-10-27T07:26:10.358791278-07:00","level":"INFO","msg":"handler: closed","stream_id":"lz1fs5n3"}
+{"time":"2025-10-27T07:26:10.359206371-07:00","level":"INFO","msg":"sender: closed","stream_id":"lz1fs5n3"}
+{"time":"2025-10-27T07:26:10.359232889-07:00","level":"INFO","msg":"stream: closed","id":"lz1fs5n3"}
diff --git a/checkpoints/wandb/debug.log b/checkpoints/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..d5c998f8935a2e6b122de5db0d270586081ed083
--- /dev/null
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@@ -0,0 +1,23 @@
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+2025-10-26 20:16:44,710 INFO    MainThread:8501 [wandb_setup.py:_flush():81] Loading settings from /root/.config/wandb/settings
+2025-10-26 20:16:44,710 INFO    MainThread:8501 [wandb_setup.py:_flush():81] Loading settings from /root/highspeedstorage/injae_dl3dv/code/CVPR2026/wandb/settings
+2025-10-26 20:16:44,710 INFO    MainThread:8501 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2025-10-26 20:16:44,710 INFO    MainThread:8501 [wandb_init.py:setup_run_log_directory():686] Logging user logs to /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U/wandb/run-20251026_201644-lz1fs5n3/logs/debug.log
+2025-10-26 20:16:44,710 INFO    MainThread:8501 [wandb_init.py:setup_run_log_directory():687] Logging internal logs to /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U/wandb/run-20251026_201644-lz1fs5n3/logs/debug-internal.log
+2025-10-26 20:16:44,710 INFO    MainThread:8501 [wandb_init.py:init():813] calling init triggers
+2025-10-26 20:16:44,710 INFO    MainThread:8501 [wandb_init.py:init():818] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'name': 'dcsplat', 'input_image_shape': [518, 518], 'head_mode': 'pcd', 'same_head': False, 'num_level': 3, 'gs_param_dim': 256, 'camera_prompt': False, 'num_visual_prompt': 0, 'use_extrinsic_token': False, 'use_intrinsic_token': False, 'extrinsic_drop': 0.1, 'intrinsic_drop': 0.1, 'use_pnp_solver': False, 'align_corners': False, 'image_scale': 1.0, 'use_uncertainty_token': True, 'gs_bf16': True, 'aggregator_bf16': False, 'img_num_frame_token_N': 0, 'img_num_global_token_N': 0, 'use_gs_param_img_num_embed': True, 'use_mean_param_img_num_embed': False}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'use_gsplat': True}, 'density_control': {'name': 'density_control_module', 'mean_dim': 32, 'gs_param_dim': 256, 'refinement_layer_num': 1, 'num_level': 3, 'grad_mode': 'absgrad', 'use_mean_features': True, 'refinement_type': 'quadtree', 'refinement_hidden_dim': 32, 'aggregation_mode': 'mean', 'num_heads': 1, 'score_mode': 3, 'sigmoid_score': True, 'latent_dim': 128, 'num_latents': 64, 'num_self_attn_per_block': 2}}, 'render_loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'density_control_loss': {'complex_score': {'weight': 0.01, 'log_scale': False, 'grad_scale': 5000.0, 'mode': 1}}, 'direct_loss': {'l1': {'weight': 0.8}, 'ssim': {'weight': 0.2}}, 'wandb': {'project': 'DCSplat', 'entity': 'scene-representation-group', 'name': '1027_DL3DV_FULL_U', 'mode': 'online', 'tags': ['dl3dv', '224x448', 'full']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 4, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0002, 'warm_up_steps': 125, 'backbone_lr_multiplier': 0.1, 'backbone_trainable': 'GB+H', 'accumulate': 1}, 'checkpointing': {'load': None, 'every_n_train_steps': 9375, 'save_top_k': 1, 'save_weights_only': True}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'camera_loss': 1.0, 'one_sample_validation': 'datasets/dl3dv/room_batch.pt', 'align_corners': False, 'intrinsic_scaling': True, 'train_context': True, 'train_hybrid': False, 'use_pred_point_focal': False, 'scaling_detach': True, 'complex_threshold_range': [0.0, 3.0], 'use_umeyama': False, 'pred_focal_cam_loss': False, 'direct_loss_weight': 0.0, 'direct_iteration_steps': 0, 'twice_backward': False, 'use_uncertainty_camera_weight': True, 'use_target_uncertainty': 'point_similarity_mult', 'verbose': False, 'complex_random_mode': 'num_gs_mode3', 'start_density_control': 0.0, 'base_complex_exp_rate': 4.0, 'use_refine_aux': False, 'train_extrinsic': True}, 'test': {'output_path': 'test/full/dl3dv', 'align_pose': False, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': False, 'save_video': False, 'save_active_mask_image': False, 'save_complex_score_image': False, 'save_compare': False, 'pred_intrinsic': True, 'complex_threshold': 0.4, 'complex_threshold_list': [0.0, 0.2, 0.4, 0.6, 0.8], 'threshold_mode': 'ratio', 'nvs_view_N_list': [3, 6, 16, 32, 64]}, 'seed': 111123, 'trainer': {'max_steps': 18751, 'val_check_interval': 500, 'gradient_clip_val': 0.5, 'num_nodes': 1}, 'dataset': {'dl3dv': {'make_baseline_1': False, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded_dl3dv', 'min_target_views': 4, 'num_context_views': 16, 'warm_up_steps': 0, 'max_img_per_gpu': 16, 'min_distance_to_context_views': 0, 'initial_min_distance_between_context_views': 5, 'initial_max_distance_between_context_views': 7, 'min_distance_between_context_views': 32, 'max_distance_between_context_views': 256, 'min_gap_multiplier': 3, 'max_gap_multiplier': 5, 'initial_min_gap_multiplier': 2, 'initial_max_gap_multiplier': 3}, 'name': 'dl3dv', 'roots': ['datasets/dl3dv'], 'input_image_shape': [224, 448], 'original_image_shape': [270, 480], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 100.0, 'max_fov': 100.0, 'avg_pose': False, 'rescale_to_1cube': False, 'intr_augment': False, 'normalize_by_pts3d': False}}, '_wandb': {}}
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diff --git a/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/config.yaml b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..959878e5f54e3a7a3252c34974ac27b2956ff2b1
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/config.yaml
@@ -0,0 +1,336 @@
+_wandb:
+    value:
+        cli_version: 0.22.0
+        e:
+            bqnq59rrc9wwtdqgeyvd10mvcngu8ggv:
+                args:
+                    - +experiment=dl3dv
+                    - wandb.mode=online
+                    - wandb.name=1027_DL3DV_FULL_U
+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                    - test.pred_intrinsic=true
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "12.9"
+                disk:
+                    /:
+                        total: "1081101176832"
+                        used: "131845980160"
+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
+                    remote: git@github.com:K-nowing/CVPR2026.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-54d5d857-4546-967d-c3af-db1f156d7f41
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-923bd3c1-bd2a-beef-2fcf-7ca2fb0ad9a8
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-fbcea736-ea20-9820-7627-0b6d970b5270
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-4c2283a2-543f-a52b-b3c7-2e6812a89a21
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-e6994020-85dd-f5ea-620f-1c2feb276273
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-00c57f2f-d95e-f10a-fef8-50e497815c70
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-83a0753f-78d3-caeb-272b-1ea556bb0880
+                host: notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0
+                memory:
+                    total: "2163983302656"
+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
+                python: CPython 3.12.12
+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T02:20:52.952065Z"
+                writerId: bqnq59rrc9wwtdqgeyvd10mvcngu8ggv
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.12.12
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.12.12
+            "5": 0.22.0
+            "12": 0.22.0
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 9375
+        load: null
+        save_top_k: 1
+        save_weights_only: true
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 4
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        dl3dv:
+            augment: true
+            avg_pose: false
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 100
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 448
+            intr_augment: false
+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
+            normalize_by_pts3d: false
+            original_image_shape:
+                - 270
+                - 480
+            overfit_to_scene: null
+            relative_pose: true
+            rescale_to_1cube: false
+            roots:
+                - datasets/dl3dv_toy
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 7
+                initial_max_gap_multiplier: 3
+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
+                max_distance_between_context_views: 256
+                max_gap_multiplier: 5
+                max_img_per_gpu: 16
+                min_distance_between_context_views: 32
+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 16
+                warm_up_steps: 0
+density_control_loss:
+    value:
+        complex_score:
+            grad_scale: 5000
+            log_scale: false
+            mode: 1
+            weight: 0.01
+direct_loss:
+    value:
+        l1:
+            weight: 0.8
+        ssim:
+            weight: 0.2
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+            use_gsplat: true
+        density_control:
+            aggregation_mode: mean
+            grad_mode: absgrad
+            gs_param_dim: 256
+            latent_dim: 128
+            mean_dim: 32
+            name: density_control_module
+            num_heads: 1
+            num_latents: 64
+            num_level: 3
+            num_self_attn_per_block: 2
+            refinement_hidden_dim: 32
+            refinement_layer_num: 1
+            refinement_type: quadtree
+            score_mode: 3
+            sigmoid_score: true
+            use_mean_features: true
+        encoder:
+            aggregator_bf16: false
+            align_corners: false
+            camera_prompt: false
+            extrinsic_drop: 0.1
+            gs_bf16: true
+            gs_param_dim: 256
+            head_mode: pcd
+            image_scale: 1
+            img_num_frame_token_N: 0
+            img_num_global_token_N: 0
+            input_image_shape:
+                - 518
+                - 518
+            intrinsic_drop: 0.1
+            name: dcsplat
+            num_level: 3
+            num_visual_prompt: 0
+            same_head: false
+            use_extrinsic_token: false
+            use_gs_param_img_num_embed: true
+            use_intrinsic_token: false
+            use_mean_param_img_num_embed: false
+            use_pnp_solver: false
+            use_uncertainty_token: true
+optimizer:
+    value:
+        accumulate: 1
+        backbone_lr_multiplier: 0.1
+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
+render_loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: false
+        complex_threshold: 0.4
+        complex_threshold_list:
+            - 0
+            - 0.2
+            - 0.4
+            - 0.6
+            - 0.8
+        compute_scores: true
+        nvs_view_N_list:
+            - 3
+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
+        pred_intrinsic: true
+        rot_opt_lr: 0.005
+        save_active_mask_image: false
+        save_compare: false
+        save_complex_score_image: false
+        save_image: false
+        save_video: false
+        threshold_mode: ratio
+        trans_opt_lr: 0.005
+train:
+    value:
+        align_corners: false
+        base_complex_exp_rate: 4
+        camera_loss: 1
+        complex_random_mode: num_gs_mode3
+        complex_threshold_range:
+            - 0
+            - 3
+        direct_iteration_steps: 0
+        direct_loss_weight: 0
+        extended_visualization: false
+        intrinsic_scaling: true
+        one_sample_validation: datasets/dl3dv/room_batch.pt
+        pred_focal_cam_loss: false
+        print_log_every_n_steps: 10
+        scaling_detach: true
+        start_density_control: 0
+        train_context: true
+        train_extrinsic: true
+        train_hybrid: false
+        twice_backward: false
+        use_pred_point_focal: false
+        use_refine_aux: false
+        use_target_uncertainty: point_similarity_mult
+        use_umeyama: false
+        use_uncertainty_camera_weight: true
+        verbose: false
+trainer:
+    value:
+        gradient_clip_val: 0.5
+        max_steps: 18751
+        num_nodes: 1
+        val_check_interval: 500
+wandb:
+    value:
+        entity: scene-representation-group
+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
+            - dl3dv
+            - 224x448
+            - full
diff --git a/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/output.log b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..e15162688fab1fbc5eba56e2ebfc4be43c692594
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/output.log
@@ -0,0 +1,93 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]
+Error executing job with overrides: ['+experiment=dl3dv', 'wandb.mode=online', 'wandb.name=1027_DL3DV_FULL_U', 'train.one_sample_validation=datasets/dl3dv/room_batch.pt', 'optimizer.backbone_trainable=GB+H', 'model.encoder.use_uncertainty_token=true', 'train.use_uncertainty_camera_weight=true', 'train.use_target_uncertainty=point_similarity_mult', 'test.pred_intrinsic=true']
+Traceback (most recent call last):
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/main.py", line 193, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 48, in _call_and_handle_interrupt
+    return trainer_fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1054, in _run_stage
+    self._run_sanity_check()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1083, in _run_sanity_check
+    val_loop.run()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/utilities.py", line 179, in _decorator
+    return loop_run(self, *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 120, in run
+    self.setup_data()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 176, in setup_data
+    dataloaders = _request_dataloader(source)
+                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py", line 326, in _request_dataloader
+    return data_source.dataloader()
+           ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py", line 293, in dataloader
+    return call._call_lightning_datamodule_hook(self.instance.trainer, self.name)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 198, in _call_lightning_datamodule_hook
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/dataset/data_module.py", line 177, in val_dataloader
+    dataset, datasets_ls = get_dataset(self.dataset_cfgs, "val", self.step_tracker)
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/dataset/__init__.py", line 132, in get_dataset
+    return get_dl3dv_dataset(cfgs, stage, step_tracker)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/dataset/__init__.py", line 99, in get_dl3dv_dataset
+    dataset = DATASETS[cfg.name](cfg, stage, view_sampler)
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/dataset/dataset_dl3dv.py", line 75, in __init__
+    with open(f"{self.data_root}/{self.data_stage}_index.json", "r") as file:
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+FileNotFoundError: [Errno 2] No such file or directory: 'datasets/dl3dv_toy/test_index.json'
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/requirements.txt b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/requirements.txt
@@ -0,0 +1,119 @@
+lightning==2.5.1
+opt-einsum-fx==0.1.4
+six==1.17.0
+colorama==0.4.6
+fsspec==2024.6.1
+Pygments==2.19.2
+yarl==1.20.1
+MarkupSafe==3.0.2
+beartype==0.19.0
+Jinja2==3.1.6
+omegaconf==2.3.0
+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
+opencv-python==4.11.0.86
+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
+antlr4-python3-runtime==4.9.3
+aiohttp==3.12.15
+einops==0.8.1
+smmap==5.0.2
+proglog==0.1.12
+pydantic_core==2.33.2
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
+lpips==0.1.4
+multidict==6.6.4
+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
+nvidia-cusolver-cu12==11.7.2.55
+mpmath==1.3.0
+jaxtyping==0.2.37
+torchaudio==2.7.1+cu128
+fused-ssim==1.0.0
+nvidia-cudnn-cu12==9.7.1.26
+python-dateutil==2.9.0.post0
+frozenlist==1.7.0
+e3nn==0.5.8
+kornia_rs==0.1.9
+PyYAML==6.0.2
+packaging==24.2
+ninja==1.13.0
+setuptools==78.1.1
+gmpy2==2.2.1
+tabulate==0.9.0
+decorator==4.4.2
+nvidia-cusparse-cu12==12.5.7.53
+triton==3.3.1
+numpy==1.26.4
+contourpy==1.3.2
+torchvision==0.22.1+cu128
+lazy_loader==0.4
+gitdb==4.0.12
+nvidia-cufft-cu12==11.3.3.41
+requests==2.32.5
+typing_extensions==4.15.0
+platformdirs==4.4.0
+PySocks==1.7.1
+nvidia-nccl-cu12==2.26.2
+certifi==2025.8.3
+aiohappyeyeballs==2.6.1
+wadler_lindig==0.1.7
+gsplat==1.5.3
+rich==14.1.0
diff --git a/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/wandb-metadata.json b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6bc457204f409b613707c3f26d06958f04257b23
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/wandb-metadata.json
@@ -0,0 +1,97 @@
+{
+  "os":  "Linux-5.15.0-157-generic-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.12",
+  "startedAt":  "2025-10-27T02:20:52.952065Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult",
+    "test.pred_intrinsic=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/CVPR2026.git"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U",
+  "host":  "notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0",
+  "executable":  "/opt/conda/envs/dcsplat/bin/python",
+  "cpu_count":  128,
+  "cpu_count_logical":  256,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1081101176832",
+      "used":  "131845980160"
+    }
+  },
+  "memory":  {
+    "total":  "2163983302656"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-54d5d857-4546-967d-c3af-db1f156d7f41"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-923bd3c1-bd2a-beef-2fcf-7ca2fb0ad9a8"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-fbcea736-ea20-9820-7627-0b6d970b5270"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-4c2283a2-543f-a52b-b3c7-2e6812a89a21"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-e6994020-85dd-f5ea-620f-1c2feb276273"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-00c57f2f-d95e-f10a-fef8-50e497815c70"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-83a0753f-78d3-caeb-272b-1ea556bb0880"
+    }
+  ],
+  "cudaVersion":  "12.9",
+  "writerId":  "bqnq59rrc9wwtdqgeyvd10mvcngu8ggv"
+}
\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/wandb-summary.json b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..5031a3fdb5637a89ebf85a0681ed18b6e711fde3
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192052-ka6adsfk/files/wandb-summary.json
@@ -0,0 +1 @@
+{"_runtime":2,"_wandb":{"runtime":2}}
\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_192052-ka6adsfk/logs/debug-core.log b/checkpoints/wandb/run-20251026_192052-ka6adsfk/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..029ede3f58e37d824337577743b92b776aa65a71
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192052-ka6adsfk/logs/debug-core.log
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+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                    - dataset.dl3dv.view_sampler.max_img_per_gpu=24
+                    - dataset.dl3dv.view_sampler.num_context_views=24
+                    - test.pred_intrinsic=true
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "12.9"
+                disk:
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+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
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+                gpu_nvidia:
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-00c57f2f-d95e-f10a-fef8-50e497815c70
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
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+                      uuid: GPU-83a0753f-78d3-caeb-272b-1ea556bb0880
+                host: notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0
+                memory:
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+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
+                python: CPython 3.12.12
+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T02:22:45.896689Z"
+                writerId: 5rjbjl7ebv0cuizanehevu22bpgyx69t
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+data_loader:
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+        train:
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+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        dl3dv:
+            augment: true
+            avg_pose: false
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 100
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+            cameras_are_circular: false
+            input_image_shape:
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+                - 448
+            intr_augment: false
+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
+            normalize_by_pts3d: false
+            original_image_shape:
+                - 270
+                - 480
+            overfit_to_scene: null
+            relative_pose: true
+            rescale_to_1cube: false
+            roots:
+                - datasets/dl3dv
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 7
+                initial_max_gap_multiplier: 3
+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
+                max_distance_between_context_views: 256
+                max_gap_multiplier: 5
+                max_img_per_gpu: 24
+                min_distance_between_context_views: 32
+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 24
+                warm_up_steps: 0
+density_control_loss:
+    value:
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+            log_scale: false
+            mode: 1
+            weight: 0.01
+direct_loss:
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+        ssim:
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+            name: splatting_cuda
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+        density_control:
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+            grad_mode: absgrad
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+            latent_dim: 128
+            mean_dim: 32
+            name: density_control_module
+            num_heads: 1
+            num_latents: 64
+            num_level: 3
+            num_self_attn_per_block: 2
+            refinement_hidden_dim: 32
+            refinement_layer_num: 1
+            refinement_type: quadtree
+            score_mode: 3
+            sigmoid_score: true
+            use_mean_features: true
+        encoder:
+            aggregator_bf16: false
+            align_corners: false
+            camera_prompt: false
+            extrinsic_drop: 0.1
+            gs_bf16: true
+            gs_param_dim: 256
+            head_mode: pcd
+            image_scale: 1
+            img_num_frame_token_N: 0
+            img_num_global_token_N: 0
+            input_image_shape:
+                - 518
+                - 518
+            intrinsic_drop: 0.1
+            name: dcsplat
+            num_level: 3
+            num_visual_prompt: 0
+            same_head: false
+            use_extrinsic_token: false
+            use_gs_param_img_num_embed: true
+            use_intrinsic_token: false
+            use_mean_param_img_num_embed: false
+            use_pnp_solver: false
+            use_uncertainty_token: true
+optimizer:
+    value:
+        accumulate: 1
+        backbone_lr_multiplier: 0.1
+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
+render_loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: false
+        complex_threshold: 0.4
+        complex_threshold_list:
+            - 0
+            - 0.2
+            - 0.4
+            - 0.6
+            - 0.8
+        compute_scores: true
+        nvs_view_N_list:
+            - 3
+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
+        pred_intrinsic: true
+        rot_opt_lr: 0.005
+        save_active_mask_image: false
+        save_compare: false
+        save_complex_score_image: false
+        save_image: false
+        save_video: false
+        threshold_mode: ratio
+        trans_opt_lr: 0.005
+train:
+    value:
+        align_corners: false
+        base_complex_exp_rate: 4
+        camera_loss: 1
+        complex_random_mode: num_gs_mode3
+        complex_threshold_range:
+            - 0
+            - 3
+        direct_iteration_steps: 0
+        direct_loss_weight: 0
+        extended_visualization: false
+        intrinsic_scaling: true
+        one_sample_validation: datasets/dl3dv/room_batch.pt
+        pred_focal_cam_loss: false
+        print_log_every_n_steps: 10
+        scaling_detach: true
+        start_density_control: 0
+        train_context: true
+        train_extrinsic: true
+        train_hybrid: false
+        twice_backward: false
+        use_pred_point_focal: false
+        use_refine_aux: false
+        use_target_uncertainty: point_similarity_mult
+        use_umeyama: false
+        use_uncertainty_camera_weight: true
+        verbose: false
+trainer:
+    value:
+        gradient_clip_val: 0.5
+        max_steps: 18751
+        num_nodes: 1
+        val_check_interval: 500
+wandb:
+    value:
+        entity: scene-representation-group
+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
+            - dl3dv
+            - 224x448
+            - full
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 19:22:48,867][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 19:22:54,328][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 19:22:54,329][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:22:54,329][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 19:22:58,545][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+                                                                                                                    
+
+Detected KeyboardInterrupt, attempting graceful shutdown ...
diff --git a/checkpoints/wandb/run-20251026_192245-p0duxfg6/files/requirements.txt b/checkpoints/wandb/run-20251026_192245-p0duxfg6/files/requirements.txt
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+lightning==2.5.1
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+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
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+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
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+aiohttp==3.12.15
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+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
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+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
+nvidia-cusolver-cu12==11.7.2.55
+mpmath==1.3.0
+jaxtyping==0.2.37
+torchaudio==2.7.1+cu128
+fused-ssim==1.0.0
+nvidia-cudnn-cu12==9.7.1.26
+python-dateutil==2.9.0.post0
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+gmpy2==2.2.1
+tabulate==0.9.0
+decorator==4.4.2
+nvidia-cusparse-cu12==12.5.7.53
+triton==3.3.1
+numpy==1.26.4
+contourpy==1.3.2
+torchvision==0.22.1+cu128
+lazy_loader==0.4
+gitdb==4.0.12
+nvidia-cufft-cu12==11.3.3.41
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+typing_extensions==4.15.0
+platformdirs==4.4.0
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+nvidia-nccl-cu12==2.26.2
+certifi==2025.8.3
+aiohappyeyeballs==2.6.1
+wadler_lindig==0.1.7
+gsplat==1.5.3
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+{
+  "os":  "Linux-5.15.0-157-generic-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.12",
+  "startedAt":  "2025-10-27T02:22:45.896689Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult",
+    "dataset.dl3dv.view_sampler.max_img_per_gpu=24",
+    "dataset.dl3dv.view_sampler.num_context_views=24",
+    "test.pred_intrinsic=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/CVPR2026.git"
+  },
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+  "host":  "notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0",
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+  "gpu_nvidia":  [
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+2025-10-26 19:22:45,904 INFO    MainThread:3227 [wandb_init.py:init():818] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'name': 'dcsplat', 'input_image_shape': [518, 518], 'head_mode': 'pcd', 'same_head': False, 'num_level': 3, 'gs_param_dim': 256, 'camera_prompt': False, 'num_visual_prompt': 0, 'use_extrinsic_token': False, 'use_intrinsic_token': False, 'extrinsic_drop': 0.1, 'intrinsic_drop': 0.1, 'use_pnp_solver': False, 'align_corners': False, 'image_scale': 1.0, 'use_uncertainty_token': True, 'gs_bf16': True, 'aggregator_bf16': False, 'img_num_frame_token_N': 0, 'img_num_global_token_N': 0, 'use_gs_param_img_num_embed': True, 'use_mean_param_img_num_embed': False}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'use_gsplat': True}, 'density_control': {'name': 'density_control_module', 'mean_dim': 32, 'gs_param_dim': 256, 'refinement_layer_num': 1, 'num_level': 3, 'grad_mode': 'absgrad', 'use_mean_features': True, 'refinement_type': 'quadtree', 'refinement_hidden_dim': 32, 'aggregation_mode': 'mean', 'num_heads': 1, 'score_mode': 3, 'sigmoid_score': True, 'latent_dim': 128, 'num_latents': 64, 'num_self_attn_per_block': 2}}, 'render_loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'density_control_loss': {'complex_score': {'weight': 0.01, 'log_scale': False, 'grad_scale': 5000.0, 'mode': 1}}, 'direct_loss': {'l1': {'weight': 0.8}, 'ssim': {'weight': 0.2}}, 'wandb': {'project': 'DCSplat', 'entity': 'scene-representation-group', 'name': '1027_DL3DV_FULL_U', 'mode': 'online', 'tags': ['dl3dv', '224x448', 'full']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 4, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0002, 'warm_up_steps': 125, 'backbone_lr_multiplier': 0.1, 'backbone_trainable': 'GB+H', 'accumulate': 1}, 'checkpointing': {'load': None, 'every_n_train_steps': 9375, 'save_top_k': 1, 'save_weights_only': True}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'camera_loss': 1.0, 'one_sample_validation': 'datasets/dl3dv/room_batch.pt', 'align_corners': False, 'intrinsic_scaling': True, 'train_context': True, 'train_hybrid': False, 'use_pred_point_focal': False, 'scaling_detach': True, 'complex_threshold_range': [0.0, 3.0], 'use_umeyama': False, 'pred_focal_cam_loss': False, 'direct_loss_weight': 0.0, 'direct_iteration_steps': 0, 'twice_backward': False, 'use_uncertainty_camera_weight': True, 'use_target_uncertainty': 'point_similarity_mult', 'verbose': False, 'complex_random_mode': 'num_gs_mode3', 'start_density_control': 0.0, 'base_complex_exp_rate': 4.0, 'use_refine_aux': False, 'train_extrinsic': True}, 'test': {'output_path': 'test/full/dl3dv', 'align_pose': False, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': False, 'save_video': False, 'save_active_mask_image': False, 'save_complex_score_image': False, 'save_compare': False, 'pred_intrinsic': True, 'complex_threshold': 0.4, 'complex_threshold_list': [0.0, 0.2, 0.4, 0.6, 0.8], 'threshold_mode': 'ratio', 'nvs_view_N_list': [3, 6, 16, 32, 64]}, 'seed': 111123, 'trainer': {'max_steps': 18751, 'val_check_interval': 500, 'gradient_clip_val': 0.5, 'num_nodes': 1}, 'dataset': {'dl3dv': {'make_baseline_1': False, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded_dl3dv', 'min_target_views': 4, 'num_context_views': 24, 'warm_up_steps': 0, 'max_img_per_gpu': 24, 'min_distance_to_context_views': 0, 'initial_min_distance_between_context_views': 5, 'initial_max_distance_between_context_views': 7, 'min_distance_between_context_views': 32, 'max_distance_between_context_views': 256, 'min_gap_multiplier': 3, 'max_gap_multiplier': 5, 'initial_min_gap_multiplier': 2, 'initial_max_gap_multiplier': 3}, 'name': 'dl3dv', 'roots': ['datasets/dl3dv'], 'input_image_shape': [224, 448], 'original_image_shape': [270, 480], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 100.0, 'max_fov': 100.0, 'avg_pose': False, 'rescale_to_1cube': False, 'intr_augment': False, 'normalize_by_pts3d': False}}, '_wandb': {}}
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+2025-10-26 19:25:19,301 ERROR   wandb-AsyncioManager-main:3227 [asyncio_manager.py:fn_wrap_exceptions():183] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_manager.py", line 181, in fn_wrap_exceptions
+    await fn()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/wandb/sdk/lib/service/service_client.py", line 65, in _send_server_request
+    await self._writer.drain()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
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+_wandb:
+    value:
+        cli_version: 0.22.0
+        e:
+            ifdxqc9grrzqq8h6g6j60bddmjhppuio:
+                args:
+                    - +experiment=dl3dv
+                    - wandb.mode=online
+                    - wandb.name=1027_DL3DV_FULL_U
+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "12.9"
+                disk:
+                    /:
+                        total: "1081101176832"
+                        used: "131846033408"
+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
+                    remote: git@github.com:K-nowing/CVPR2026.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-54d5d857-4546-967d-c3af-db1f156d7f41
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-923bd3c1-bd2a-beef-2fcf-7ca2fb0ad9a8
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-fbcea736-ea20-9820-7627-0b6d970b5270
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-4c2283a2-543f-a52b-b3c7-2e6812a89a21
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-e6994020-85dd-f5ea-620f-1c2feb276273
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-00c57f2f-d95e-f10a-fef8-50e497815c70
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-83a0753f-78d3-caeb-272b-1ea556bb0880
+                host: notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0
+                memory:
+                    total: "2163983302656"
+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
+                python: CPython 3.12.12
+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T02:23:43.142958Z"
+                writerId: ifdxqc9grrzqq8h6g6j60bddmjhppuio
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.12.12
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.12.12
+            "5": 0.22.0
+            "12": 0.22.0
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 9375
+        load: null
+        save_top_k: 1
+        save_weights_only: true
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 4
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        dl3dv:
+            augment: true
+            avg_pose: false
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 100
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 448
+            intr_augment: false
+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
+            normalize_by_pts3d: false
+            original_image_shape:
+                - 270
+                - 480
+            overfit_to_scene: null
+            relative_pose: true
+            rescale_to_1cube: false
+            roots:
+                - datasets/dl3dv
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 7
+                initial_max_gap_multiplier: 3
+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
+                max_distance_between_context_views: 256
+                max_gap_multiplier: 5
+                max_img_per_gpu: 16
+                min_distance_between_context_views: 32
+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 16
+                warm_up_steps: 0
+density_control_loss:
+    value:
+        complex_score:
+            grad_scale: 5000
+            log_scale: false
+            mode: 1
+            weight: 0.01
+direct_loss:
+    value:
+        l1:
+            weight: 0.8
+        ssim:
+            weight: 0.2
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+            use_gsplat: true
+        density_control:
+            aggregation_mode: mean
+            grad_mode: absgrad
+            gs_param_dim: 256
+            latent_dim: 128
+            mean_dim: 32
+            name: density_control_module
+            num_heads: 1
+            num_latents: 64
+            num_level: 3
+            num_self_attn_per_block: 2
+            refinement_hidden_dim: 32
+            refinement_layer_num: 1
+            refinement_type: quadtree
+            score_mode: 3
+            sigmoid_score: true
+            use_mean_features: true
+        encoder:
+            aggregator_bf16: false
+            align_corners: false
+            camera_prompt: false
+            extrinsic_drop: 0.1
+            gs_bf16: true
+            gs_param_dim: 256
+            head_mode: pcd
+            image_scale: 1
+            img_num_frame_token_N: 0
+            img_num_global_token_N: 0
+            input_image_shape:
+                - 518
+                - 518
+            intrinsic_drop: 0.1
+            name: dcsplat
+            num_level: 3
+            num_visual_prompt: 0
+            same_head: false
+            use_extrinsic_token: false
+            use_gs_param_img_num_embed: true
+            use_intrinsic_token: false
+            use_mean_param_img_num_embed: false
+            use_pnp_solver: false
+            use_uncertainty_token: true
+optimizer:
+    value:
+        accumulate: 1
+        backbone_lr_multiplier: 0.1
+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
+render_loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: false
+        complex_threshold: 0.4
+        complex_threshold_list:
+            - 0
+            - 0.2
+            - 0.4
+            - 0.6
+            - 0.8
+        compute_scores: true
+        nvs_view_N_list:
+            - 3
+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
+        pred_intrinsic: true
+        rot_opt_lr: 0.005
+        save_active_mask_image: false
+        save_compare: false
+        save_complex_score_image: false
+        save_image: false
+        save_video: false
+        threshold_mode: ratio
+        trans_opt_lr: 0.005
+train:
+    value:
+        align_corners: false
+        base_complex_exp_rate: 4
+        camera_loss: 1
+        complex_random_mode: num_gs_mode3
+        complex_threshold_range:
+            - 0
+            - 3
+        direct_iteration_steps: 0
+        direct_loss_weight: 0
+        extended_visualization: false
+        intrinsic_scaling: true
+        one_sample_validation: datasets/dl3dv/room_batch.pt
+        pred_focal_cam_loss: false
+        print_log_every_n_steps: 10
+        scaling_detach: true
+        start_density_control: 0
+        train_context: true
+        train_extrinsic: true
+        train_hybrid: false
+        twice_backward: false
+        use_pred_point_focal: false
+        use_refine_aux: false
+        use_target_uncertainty: point_similarity_mult
+        use_umeyama: false
+        use_uncertainty_camera_weight: true
+        verbose: false
+trainer:
+    value:
+        gradient_clip_val: 0.5
+        max_steps: 18751
+        num_nodes: 1
+        val_check_interval: 500
+wandb:
+    value:
+        entity: scene-representation-group
+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
+            - dl3dv
+            - 224x448
+            - full
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diff --git a/checkpoints/wandb/run-20251026_192343-vbr1tndn/files/output.log b/checkpoints/wandb/run-20251026_192343-vbr1tndn/files/output.log
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@@ -0,0 +1,161 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [1]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 19:23:45,936][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 19:23:49,495][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 19:23:49,496][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:23:49,496][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 19:23:53,646][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+DL3DV: train: loaded 9570 scenes                                                                                    
+Setting epoch for all underlying BatchedRandomSamplers
+Epoch 0:   0%|                                                       | 9/7853 [00:13<3:20:13,  0.65it/s, v_num=tndn]train step 10; scene = ['dl3dv_c104b43b418cae']; loss = 0.579293
+Epoch 0:   0%|▏                                                     | 19/7853 [00:28<3:13:53,  0.67it/s, v_num=tndn]train step 20; scene = ['dl3dv_7d4a551cb62c55']; loss = 0.146172
+Epoch 0:   0%|▏                                                     | 29/7853 [00:43<3:13:29,  0.67it/s, v_num=tndn]train step 30; scene = ['dl3dv_43101039ceceb9']; loss = 0.947000
+Epoch 0:   0%|▎                                                     | 39/7853 [00:54<3:03:32,  0.71it/s, v_num=tndn]train step 40; scene = ['dl3dv_42bb80b882b630']; loss = -0.112018
+Epoch 0:   1%|▎                                                     | 49/7853 [01:07<3:00:15,  0.72it/s, v_num=tndn]train step 50; scene = ['dl3dv_944c438fb3551c', 'dl3dv_9c9f28e99cfb0e']; loss = -0.330427
+Epoch 0:   1%|▍                                                     | 59/7853 [01:20<2:56:58,  0.73it/s, v_num=tndn]train step 60; scene = ['dl3dv_0d2d0436eeca93']; loss = 0.509768
+Epoch 0:   1%|▍                                                     | 69/7853 [01:35<2:58:59,  0.72it/s, v_num=tndn]train step 70; scene = ['dl3dv_9907d0f36ef292']; loss = -0.309660
+Epoch 0:   1%|▌                                                     | 79/7853 [01:49<2:59:46,  0.72it/s, v_num=tndn]train step 80; scene = ['dl3dv_d53baa8b39e431']; loss = -0.203730
+Epoch 0:   1%|▌                                                     | 89/7853 [02:03<2:58:54,  0.72it/s, v_num=tndn]train step 90; scene = ['dl3dv_f69e6fbb33a571']; loss = -0.083117
+Epoch 0:   1%|▋                                                     | 99/7853 [02:19<3:02:13,  0.71it/s, v_num=tndn]train step 100; scene = ['dl3dv_b254ff35d4593e', 'dl3dv_5d5949c63a1954']; loss = -0.487594
+Epoch 0:   1%|▋                                                    | 109/7853 [02:32<3:00:50,  0.71it/s, v_num=tndn]train step 110; scene = ['dl3dv_f4e8d884fbed1a']; loss = -0.496112
+Epoch 0:   2%|▊                                                    | 119/7853 [03:02<3:17:13,  0.65it/s, v_num=tndn]train step 120; scene = ['dl3dv_f0e9cce78259cb']; loss = -0.460066
+Epoch 0:   2%|▊                                                    | 124/7853 [03:09<3:16:41,  0.65it/s, v_num=tndn][2025-10-26 19:29:11,320][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+Epoch 0:   2%|▊                                                    | 129/7853 [03:16<3:16:28,  0.66it/s, v_num=tndn]train step 130; scene = ['dl3dv_295aaa46488343']; loss = -0.857527
+Epoch 0:   2%|▉                                                    | 139/7853 [03:30<3:14:46,  0.66it/s, v_num=tndn]train step 140; scene = ['dl3dv_abb7a601b111e9', 'dl3dv_34f30ca31da585', 'dl3dv_223ddc2aaee01e', 'dl3dv_c945a91d8f5bad']; loss = -0.190481
+Epoch 0:   2%|█                                                    | 149/7853 [03:41<3:10:33,  0.67it/s, v_num=tndn]train step 150; scene = ['dl3dv_fa9c44feec1eeb']; loss = -0.734502
+Epoch 0:   2%|█                                                    | 159/7853 [03:55<3:09:44,  0.68it/s, v_num=tndn]train step 160; scene = ['dl3dv_f2c92aeffc33d2']; loss = -0.270925
+Epoch 0:   2%|█▏                                                   | 169/7853 [04:10<3:09:35,  0.68it/s, v_num=tndn]train step 170; scene = ['dl3dv_c9b7a1c31b2131']; loss = -0.691651
+Epoch 0:   2%|█▏                                                   | 179/7853 [04:25<3:09:23,  0.68it/s, v_num=tndn]train step 180; scene = ['dl3dv_10d20f512cba26']; loss = -0.258094
+Epoch 0:   2%|█▎                                                   | 189/7853 [04:39<3:08:47,  0.68it/s, v_num=tndn]train step 190; scene = ['dl3dv_dd4cdd621bd149']; loss = -0.683769
+Epoch 0:   3%|█▎                                                   | 199/7853 [04:52<3:07:21,  0.68it/s, v_num=tndn]train step 200; scene = ['dl3dv_a7a7ce2df4eb0f']; loss = -0.628351
+Epoch 0:   3%|█▍                                                   | 209/7853 [05:13<3:10:57,  0.67it/s, v_num=tndn]train step 210; scene = ['dl3dv_846cca8e777600']; loss = -0.473028
+Epoch 0:   3%|█▍                                                   | 219/7853 [05:27<3:10:05,  0.67it/s, v_num=tndn]train step 220; scene = ['dl3dv_77845da4eb956c']; loss = -0.710872
+Epoch 0:   3%|█▌                                                   | 229/7853 [05:39<3:08:30,  0.67it/s, v_num=tndn]train step 230; scene = ['dl3dv_23830770861df3']; loss = -0.551198
+Epoch 0:   3%|█▌                                                   | 239/7853 [05:54<3:08:11,  0.67it/s, v_num=tndn]train step 240; scene = ['dl3dv_75adeed6c74016']; loss = -0.739421
+Epoch 0:   3%|█▋                                                   | 249/7853 [06:08<3:07:29,  0.68it/s, v_num=tndn]train step 250; scene = ['dl3dv_55055b9fb2cb6e']; loss = -0.384576
+Epoch 0:   3%|█▋                                                   | 259/7853 [06:22<3:06:49,  0.68it/s, v_num=tndn]train step 260; scene = ['dl3dv_005e8c73048faf']; loss = -0.128401
+Epoch 0:   3%|█▊                                                   | 269/7853 [06:36<3:06:16,  0.68it/s, v_num=tndn]train step 270; scene = ['dl3dv_5fcf4d2f678307']; loss = -0.509328
+Epoch 0:   4%|█▉                                                   | 279/7853 [06:52<3:06:32,  0.68it/s, v_num=tndn]train step 280; scene = ['dl3dv_eec17474f01078']; loss = -0.621889
+Epoch 0:   4%|█▉                                                   | 289/7853 [07:06<3:05:49,  0.68it/s, v_num=tndn]train step 290; scene = ['dl3dv_dd5a82e81ce242']; loss = -0.864485
+Epoch 0:   4%|██                                                   | 299/7853 [07:19<3:05:13,  0.68it/s, v_num=tndn]train step 300; scene = ['dl3dv_cc56d110719d99']; loss = -0.673466
+Epoch 0:   4%|██                                                   | 300/7853 [07:20<3:05:02,  0.68it/s, v_num=tndn]
+
+Detected KeyboardInterrupt, attempting graceful shutdown ...
+Error executing job with overrides: ['+experiment=dl3dv', 'wandb.mode=online', 'wandb.name=1027_DL3DV_FULL_U', 'train.one_sample_validation=datasets/dl3dv/room_batch.pt', 'optimizer.backbone_trainable=GB+H', 'model.encoder.use_uncertainty_token=true', 'train.use_uncertainty_camera_weight=true', 'train.use_target_uncertainty=point_similarity_mult']
+Traceback (most recent call last):
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 48, in _call_and_handle_interrupt
+    return trainer_fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 114, in advance
+    training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/strategy.py", line 391, in training_step
+    return self.lightning_module.training_step(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 770, in training_step
+    torch.autograd.backward(tensors=all_gs_params, grad_tensors=all_gs_params_grad)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/__init__.py", line 353, in backward
+    _engine_run_backward(
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py", line 824, in _engine_run_backward
+    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/main.py", line 193, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 61, in _call_and_handle_interrupt
+    trainer._teardown()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1039, in _teardown
+    loop.teardown()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 502, in teardown
+    self._data_fetcher.teardown()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fetchers.py", line 82, in teardown
+    self._combined_loader.reset()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/combined_loader.py", line 367, in reset
+    _shutdown_workers_and_reset_iterator(iterable)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/combined_loader.py", line 400, in _shutdown_workers_and_reset_iterator
+    dataloader._iterator._shutdown_workers()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1627, in _shutdown_workers
+    w.join(timeout=_utils.MP_STATUS_CHECK_INTERVAL)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/multiprocessing/process.py", line 149, in join
+    res = self._popen.wait(timeout)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/multiprocessing/popen_fork.py", line 40, in wait
+    if not wait([self.sentinel], timeout):
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/multiprocessing/connection.py", line 1136, in wait
+    ready = selector.select(timeout)
+            ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/selectors.py", line 415, in select
+    fd_event_list = self._selector.poll(timeout)
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
+    _error_if_any_worker_fails()
+RuntimeError: DataLoader worker (pid 5437) exited unexpectedly with exit code 1. Details are lost due to multiprocessing. Rerunning with num_workers=0 may give better error trace.
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/checkpoints/wandb/run-20251026_192343-vbr1tndn/files/requirements.txt b/checkpoints/wandb/run-20251026_192343-vbr1tndn/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192343-vbr1tndn/files/requirements.txt
@@ -0,0 +1,119 @@
+lightning==2.5.1
+opt-einsum-fx==0.1.4
+six==1.17.0
+colorama==0.4.6
+fsspec==2024.6.1
+Pygments==2.19.2
+yarl==1.20.1
+MarkupSafe==3.0.2
+beartype==0.19.0
+Jinja2==3.1.6
+omegaconf==2.3.0
+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
+opencv-python==4.11.0.86
+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
+antlr4-python3-runtime==4.9.3
+aiohttp==3.12.15
+einops==0.8.1
+smmap==5.0.2
+proglog==0.1.12
+pydantic_core==2.33.2
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
+lpips==0.1.4
+multidict==6.6.4
+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
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+                    - +experiment=dl3dv
+                    - wandb.mode=online
+                    - wandb.name=1027_DL3DV_FULL_U
+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                    - dataset.dl3dv.view_sampler.max_img_per_gpu=24
+                    - dataset.dl3dv.view_sampler.num_context_views=24
+                    - test.pred_intrinsic=true
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "12.9"
+                disk:
+                    /:
+                        total: "1081101176832"
+                        used: "131847077888"
+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
+                    remote: git@github.com:K-nowing/CVPR2026.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-54d5d857-4546-967d-c3af-db1f156d7f41
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-923bd3c1-bd2a-beef-2fcf-7ca2fb0ad9a8
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-fbcea736-ea20-9820-7627-0b6d970b5270
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-4c2283a2-543f-a52b-b3c7-2e6812a89a21
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-e6994020-85dd-f5ea-620f-1c2feb276273
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-00c57f2f-d95e-f10a-fef8-50e497815c70
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-83a0753f-78d3-caeb-272b-1ea556bb0880
+                host: notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0
+                memory:
+                    total: "2163983302656"
+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
+                python: CPython 3.12.12
+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T02:24:44.018618Z"
+                writerId: j0wqpa1378wqrp6b1gopr4gcb2g9273o
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.12.12
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.12.12
+            "5": 0.22.0
+            "12": 0.22.0
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 9375
+        load: null
+        save_top_k: 1
+        save_weights_only: true
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 4
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        dl3dv:
+            augment: true
+            avg_pose: false
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 100
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 448
+            intr_augment: false
+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
+            normalize_by_pts3d: false
+            original_image_shape:
+                - 270
+                - 480
+            overfit_to_scene: null
+            relative_pose: true
+            rescale_to_1cube: false
+            roots:
+                - datasets/dl3dv
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 7
+                initial_max_gap_multiplier: 3
+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
+                max_distance_between_context_views: 256
+                max_gap_multiplier: 5
+                max_img_per_gpu: 24
+                min_distance_between_context_views: 32
+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 24
+                warm_up_steps: 0
+density_control_loss:
+    value:
+        complex_score:
+            grad_scale: 5000
+            log_scale: false
+            mode: 1
+            weight: 0.01
+direct_loss:
+    value:
+        l1:
+            weight: 0.8
+        ssim:
+            weight: 0.2
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+            use_gsplat: true
+        density_control:
+            aggregation_mode: mean
+            grad_mode: absgrad
+            gs_param_dim: 256
+            latent_dim: 128
+            mean_dim: 32
+            name: density_control_module
+            num_heads: 1
+            num_latents: 64
+            num_level: 3
+            num_self_attn_per_block: 2
+            refinement_hidden_dim: 32
+            refinement_layer_num: 1
+            refinement_type: quadtree
+            score_mode: 3
+            sigmoid_score: true
+            use_mean_features: true
+        encoder:
+            aggregator_bf16: false
+            align_corners: false
+            camera_prompt: false
+            extrinsic_drop: 0.1
+            gs_bf16: true
+            gs_param_dim: 256
+            head_mode: pcd
+            image_scale: 1
+            img_num_frame_token_N: 0
+            img_num_global_token_N: 0
+            input_image_shape:
+                - 518
+                - 518
+            intrinsic_drop: 0.1
+            name: dcsplat
+            num_level: 3
+            num_visual_prompt: 0
+            same_head: false
+            use_extrinsic_token: false
+            use_gs_param_img_num_embed: true
+            use_intrinsic_token: false
+            use_mean_param_img_num_embed: false
+            use_pnp_solver: false
+            use_uncertainty_token: true
+optimizer:
+    value:
+        accumulate: 1
+        backbone_lr_multiplier: 0.1
+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
+render_loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: false
+        complex_threshold: 0.4
+        complex_threshold_list:
+            - 0
+            - 0.2
+            - 0.4
+            - 0.6
+            - 0.8
+        compute_scores: true
+        nvs_view_N_list:
+            - 3
+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
+        pred_intrinsic: true
+        rot_opt_lr: 0.005
+        save_active_mask_image: false
+        save_compare: false
+        save_complex_score_image: false
+        save_image: false
+        save_video: false
+        threshold_mode: ratio
+        trans_opt_lr: 0.005
+train:
+    value:
+        align_corners: false
+        base_complex_exp_rate: 4
+        camera_loss: 1
+        complex_random_mode: num_gs_mode3
+        complex_threshold_range:
+            - 0
+            - 3
+        direct_iteration_steps: 0
+        direct_loss_weight: 0
+        extended_visualization: false
+        intrinsic_scaling: true
+        one_sample_validation: datasets/dl3dv/room_batch.pt
+        pred_focal_cam_loss: false
+        print_log_every_n_steps: 10
+        scaling_detach: true
+        start_density_control: 0
+        train_context: true
+        train_extrinsic: true
+        train_hybrid: false
+        twice_backward: false
+        use_pred_point_focal: false
+        use_refine_aux: false
+        use_target_uncertainty: point_similarity_mult
+        use_umeyama: false
+        use_uncertainty_camera_weight: true
+        verbose: false
+trainer:
+    value:
+        gradient_clip_val: 0.5
+        max_steps: 18751
+        num_nodes: 1
+        val_check_interval: 500
+wandb:
+    value:
+        entity: scene-representation-group
+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
+            - dl3dv
+            - 224x448
+            - full
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [2]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 19:24:46,880][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 19:24:50,494][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 19:24:50,495][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:24:50,495][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 19:24:54,605][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+DL3DV: train: loaded 9570 scenes                                                                                    
+Setting epoch for all underlying BatchedRandomSamplers
+Epoch 0:   0%|                                                       | 1/7821 [00:03<8:07:56,  0.27it/s, v_num=iuvz]
+Error executing job with overrides: ['+experiment=dl3dv', 'wandb.mode=online', 'wandb.name=1027_DL3DV_FULL_U', 'train.one_sample_validation=datasets/dl3dv/room_batch.pt', 'optimizer.backbone_trainable=GB+H', 'model.encoder.use_uncertainty_token=true', 'train.use_uncertainty_camera_weight=true', 'train.use_target_uncertainty=point_similarity_mult', 'dataset.dl3dv.view_sampler.max_img_per_gpu=24', 'dataset.dl3dv.view_sampler.num_context_views=24', 'test.pred_intrinsic=true']
+Traceback (most recent call last):
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/main.py", line 193, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 48, in _call_and_handle_interrupt
+    return trainer_fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 114, in advance
+    training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/strategy.py", line 391, in training_step
+    return self.lightning_module.training_step(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 529, in training_step
+    output, visibility, means2D, _ = self.decoder.forward(
+                                     ^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/decoder/decoder_splatting_cuda.py", line 58, in forward
+    out, mean_gradients, visibility = self.gsplat_rendering_fn(gaussians, extrinsics, intrinsics, near, far, image_shape, return_depth, grad_mode)
+                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/decoder/decoder_splatting_cuda.py", line 127, in gsplat_rendering_fn
+    rendering, alpha, info = rasterization(means, rotations, scales, opacitys, haramonics,
+                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/gsplat/rendering.py", line 531, in rasterization
+    colors = spherical_harmonics(
+             ^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/gsplat/cuda/_wrapper.py", line 180, in spherical_harmonics
+    degrees_to_use, dirs.contiguous(), coeffs.contiguous(), masks
+                                       ^^^^^^^^^^^^^^^^^^^
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.04 GiB. GPU 0 has a total capacity of 178.35 GiB of which 16.20 GiB is free. Including non-PyTorch memory, this process has 160.44 GiB memory in use. Of the allocated memory 144.66 GiB is allocated by PyTorch, and 14.91 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/requirements.txt b/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/requirements.txt
@@ -0,0 +1,119 @@
+lightning==2.5.1
+opt-einsum-fx==0.1.4
+six==1.17.0
+colorama==0.4.6
+fsspec==2024.6.1
+Pygments==2.19.2
+yarl==1.20.1
+MarkupSafe==3.0.2
+beartype==0.19.0
+Jinja2==3.1.6
+omegaconf==2.3.0
+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
+opencv-python==4.11.0.86
+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
+antlr4-python3-runtime==4.9.3
+aiohttp==3.12.15
+einops==0.8.1
+smmap==5.0.2
+proglog==0.1.12
+pydantic_core==2.33.2
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
+lpips==0.1.4
+multidict==6.6.4
+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
+nvidia-cusolver-cu12==11.7.2.55
+mpmath==1.3.0
+jaxtyping==0.2.37
+torchaudio==2.7.1+cu128
+fused-ssim==1.0.0
+nvidia-cudnn-cu12==9.7.1.26
+python-dateutil==2.9.0.post0
+frozenlist==1.7.0
+e3nn==0.5.8
+kornia_rs==0.1.9
+PyYAML==6.0.2
+packaging==24.2
+ninja==1.13.0
+setuptools==78.1.1
+gmpy2==2.2.1
+tabulate==0.9.0
+decorator==4.4.2
+nvidia-cusparse-cu12==12.5.7.53
+triton==3.3.1
+numpy==1.26.4
+contourpy==1.3.2
+torchvision==0.22.1+cu128
+lazy_loader==0.4
+gitdb==4.0.12
+nvidia-cufft-cu12==11.3.3.41
+requests==2.32.5
+typing_extensions==4.15.0
+platformdirs==4.4.0
+PySocks==1.7.1
+nvidia-nccl-cu12==2.26.2
+certifi==2025.8.3
+aiohappyeyeballs==2.6.1
+wadler_lindig==0.1.7
+gsplat==1.5.3
+rich==14.1.0
diff --git a/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/wandb-metadata.json b/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..fdc24b4fd01573f10d4326c2123b17b3f4446cc4
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/wandb-metadata.json
@@ -0,0 +1,99 @@
+{
+  "os":  "Linux-5.15.0-157-generic-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.12",
+  "startedAt":  "2025-10-27T02:24:44.018618Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult",
+    "dataset.dl3dv.view_sampler.max_img_per_gpu=24",
+    "dataset.dl3dv.view_sampler.num_context_views=24",
+    "test.pred_intrinsic=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/CVPR2026.git"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U",
+  "host":  "notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0",
+  "executable":  "/opt/conda/envs/dcsplat/bin/python",
+  "cpu_count":  128,
+  "cpu_count_logical":  256,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1081101176832",
+      "used":  "131847077888"
+    }
+  },
+  "memory":  {
+    "total":  "2163983302656"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-54d5d857-4546-967d-c3af-db1f156d7f41"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-923bd3c1-bd2a-beef-2fcf-7ca2fb0ad9a8"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-fbcea736-ea20-9820-7627-0b6d970b5270"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-4c2283a2-543f-a52b-b3c7-2e6812a89a21"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-e6994020-85dd-f5ea-620f-1c2feb276273"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-00c57f2f-d95e-f10a-fef8-50e497815c70"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-83a0753f-78d3-caeb-272b-1ea556bb0880"
+    }
+  ],
+  "cudaVersion":  "12.9",
+  "writerId":  "j0wqpa1378wqrp6b1gopr4gcb2g9273o"
+}
\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/wandb-summary.json b/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..a4066ed946ab736dab7786985d5cb21f0f3082e4
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192444-44xxiuvz/files/wandb-summary.json
@@ -0,0 +1 @@
+{"_timestamp":1.7615319030908802e+09,"_step":2,"comparison":{"count":1,"filenames":["media/images/comparison_0_e8732d0cfa21a2406a03.png"],"captions":["room"],"_type":"images/separated","width":1832,"height":7338,"format":"png"},"trainer/global_step":0,"active_mask_imgs":{"filenames":["media/images/active_mask_imgs_1_c272322b7f9ecc1ffdab.png"],"captions":["room"],"_type":"images/separated","width":7304,"height":1376,"format":"png","count":1},"complex_scores":{"format":"png","count":1,"filenames":["media/images/complex_scores_2_b92918fe1b8687e3f56c.png"],"captions":["room"],"_type":"images/separated","width":1376,"height":7304},"_wandb":{"runtime":147},"_runtime":147}
\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug-core.log b/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug-core.log
new file mode 100644
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--- /dev/null
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diff --git a/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug-internal.log b/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..c34a2063b75ccf9144353715f08c191f73e5b037
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug-internal.log
@@ -0,0 +1,11 @@
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diff --git a/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug.log b/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..59b204e9acc6515ddbaca3387472423211e03229
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192444-44xxiuvz/logs/debug.log
@@ -0,0 +1,23 @@
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+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_setup.py:_flush():81] Configure stats pid to 4679
+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_setup.py:_flush():81] Loading settings from /root/.config/wandb/settings
+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_setup.py:_flush():81] Loading settings from /root/highspeedstorage/injae_dl3dv/code/CVPR2026/wandb/settings
+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_init.py:setup_run_log_directory():686] Logging user logs to /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U/wandb/run-20251026_192444-44xxiuvz/logs/debug.log
+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_init.py:setup_run_log_directory():687] Logging internal logs to /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U/wandb/run-20251026_192444-44xxiuvz/logs/debug-internal.log
+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_init.py:init():813] calling init triggers
+2025-10-26 19:24:44,025 INFO    MainThread:4679 [wandb_init.py:init():818] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'name': 'dcsplat', 'input_image_shape': [518, 518], 'head_mode': 'pcd', 'same_head': False, 'num_level': 3, 'gs_param_dim': 256, 'camera_prompt': False, 'num_visual_prompt': 0, 'use_extrinsic_token': False, 'use_intrinsic_token': False, 'extrinsic_drop': 0.1, 'intrinsic_drop': 0.1, 'use_pnp_solver': False, 'align_corners': False, 'image_scale': 1.0, 'use_uncertainty_token': True, 'gs_bf16': True, 'aggregator_bf16': False, 'img_num_frame_token_N': 0, 'img_num_global_token_N': 0, 'use_gs_param_img_num_embed': True, 'use_mean_param_img_num_embed': False}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'use_gsplat': True}, 'density_control': {'name': 'density_control_module', 'mean_dim': 32, 'gs_param_dim': 256, 'refinement_layer_num': 1, 'num_level': 3, 'grad_mode': 'absgrad', 'use_mean_features': True, 'refinement_type': 'quadtree', 'refinement_hidden_dim': 32, 'aggregation_mode': 'mean', 'num_heads': 1, 'score_mode': 3, 'sigmoid_score': True, 'latent_dim': 128, 'num_latents': 64, 'num_self_attn_per_block': 2}}, 'render_loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'density_control_loss': {'complex_score': {'weight': 0.01, 'log_scale': False, 'grad_scale': 5000.0, 'mode': 1}}, 'direct_loss': {'l1': {'weight': 0.8}, 'ssim': {'weight': 0.2}}, 'wandb': {'project': 'DCSplat', 'entity': 'scene-representation-group', 'name': '1027_DL3DV_FULL_U', 'mode': 'online', 'tags': ['dl3dv', '224x448', 'full']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 4, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0002, 'warm_up_steps': 125, 'backbone_lr_multiplier': 0.1, 'backbone_trainable': 'GB+H', 'accumulate': 1}, 'checkpointing': {'load': None, 'every_n_train_steps': 9375, 'save_top_k': 1, 'save_weights_only': True}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'camera_loss': 1.0, 'one_sample_validation': 'datasets/dl3dv/room_batch.pt', 'align_corners': False, 'intrinsic_scaling': True, 'train_context': True, 'train_hybrid': False, 'use_pred_point_focal': False, 'scaling_detach': True, 'complex_threshold_range': [0.0, 3.0], 'use_umeyama': False, 'pred_focal_cam_loss': False, 'direct_loss_weight': 0.0, 'direct_iteration_steps': 0, 'twice_backward': False, 'use_uncertainty_camera_weight': True, 'use_target_uncertainty': 'point_similarity_mult', 'verbose': False, 'complex_random_mode': 'num_gs_mode3', 'start_density_control': 0.0, 'base_complex_exp_rate': 4.0, 'use_refine_aux': False, 'train_extrinsic': True}, 'test': {'output_path': 'test/full/dl3dv', 'align_pose': False, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': False, 'save_video': False, 'save_active_mask_image': False, 'save_complex_score_image': False, 'save_compare': False, 'pred_intrinsic': True, 'complex_threshold': 0.4, 'complex_threshold_list': [0.0, 0.2, 0.4, 0.6, 0.8], 'threshold_mode': 'ratio', 'nvs_view_N_list': [3, 6, 16, 32, 64]}, 'seed': 111123, 'trainer': {'max_steps': 18751, 'val_check_interval': 500, 'gradient_clip_val': 0.5, 'num_nodes': 1}, 'dataset': {'dl3dv': {'make_baseline_1': False, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded_dl3dv', 'min_target_views': 4, 'num_context_views': 24, 'warm_up_steps': 0, 'max_img_per_gpu': 24, 'min_distance_to_context_views': 0, 'initial_min_distance_between_context_views': 5, 'initial_max_distance_between_context_views': 7, 'min_distance_between_context_views': 32, 'max_distance_between_context_views': 256, 'min_gap_multiplier': 3, 'max_gap_multiplier': 5, 'initial_min_gap_multiplier': 2, 'initial_max_gap_multiplier': 3}, 'name': 'dl3dv', 'roots': ['datasets/dl3dv'], 'input_image_shape': [224, 448], 'original_image_shape': [270, 480], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 100.0, 'max_fov': 100.0, 'avg_pose': False, 'rescale_to_1cube': False, 'intr_augment': False, 'normalize_by_pts3d': False}}, '_wandb': {}}
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+_wandb:
+    value:
+        cli_version: 0.22.0
+        e:
+            0guesreq2onu7ynf08zxmouv0qkxhwoa:
+                args:
+                    - +experiment=dl3dv
+                    - wandb.mode=online
+                    - wandb.name=1027_DL3DV_FULL_U
+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                    - model.density_control.refinement_type=perceiver
+                    - model.density_control.num_latents=32
+                    - model.density_control.latent_dim=64
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "12.9"
+                disk:
+                    /:
+                        total: "1081101176832"
+                        used: "131847155712"
+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
+                    remote: git@github.com:K-nowing/CVPR2026.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-54d5d857-4546-967d-c3af-db1f156d7f41
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-923bd3c1-bd2a-beef-2fcf-7ca2fb0ad9a8
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-fbcea736-ea20-9820-7627-0b6d970b5270
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-4c2283a2-543f-a52b-b3c7-2e6812a89a21
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-e6994020-85dd-f5ea-620f-1c2feb276273
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-00c57f2f-d95e-f10a-fef8-50e497815c70
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-83a0753f-78d3-caeb-272b-1ea556bb0880
+                host: notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0
+                memory:
+                    total: "2163983302656"
+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
+                python: CPython 3.12.12
+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T02:28:02.345753Z"
+                writerId: 0guesreq2onu7ynf08zxmouv0qkxhwoa
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.12.12
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 79
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.12.12
+            "5": 0.22.0
+            "12": 0.22.0
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 9375
+        load: null
+        save_top_k: 1
+        save_weights_only: true
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 4
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        dl3dv:
+            augment: true
+            avg_pose: false
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 100
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 448
+            intr_augment: false
+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
+            normalize_by_pts3d: false
+            original_image_shape:
+                - 270
+                - 480
+            overfit_to_scene: null
+            relative_pose: true
+            rescale_to_1cube: false
+            roots:
+                - datasets/dl3dv
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 7
+                initial_max_gap_multiplier: 3
+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
+                max_distance_between_context_views: 256
+                max_gap_multiplier: 5
+                max_img_per_gpu: 16
+                min_distance_between_context_views: 32
+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 16
+                warm_up_steps: 0
+density_control_loss:
+    value:
+        complex_score:
+            grad_scale: 5000
+            log_scale: false
+            mode: 1
+            weight: 0.01
+direct_loss:
+    value:
+        l1:
+            weight: 0.8
+        ssim:
+            weight: 0.2
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+            use_gsplat: true
+        density_control:
+            aggregation_mode: mean
+            grad_mode: absgrad
+            gs_param_dim: 256
+            latent_dim: 64
+            mean_dim: 32
+            name: density_control_module
+            num_heads: 1
+            num_latents: 32
+            num_level: 3
+            num_self_attn_per_block: 2
+            refinement_hidden_dim: 32
+            refinement_layer_num: 1
+            refinement_type: perceiver
+            score_mode: 3
+            sigmoid_score: true
+            use_mean_features: true
+        encoder:
+            aggregator_bf16: false
+            align_corners: false
+            camera_prompt: false
+            extrinsic_drop: 0.1
+            gs_bf16: true
+            gs_param_dim: 256
+            head_mode: pcd
+            image_scale: 1
+            img_num_frame_token_N: 0
+            img_num_global_token_N: 0
+            input_image_shape:
+                - 518
+                - 518
+            intrinsic_drop: 0.1
+            name: dcsplat
+            num_level: 3
+            num_visual_prompt: 0
+            same_head: false
+            use_extrinsic_token: false
+            use_gs_param_img_num_embed: true
+            use_intrinsic_token: false
+            use_mean_param_img_num_embed: false
+            use_pnp_solver: false
+            use_uncertainty_token: true
+optimizer:
+    value:
+        accumulate: 1
+        backbone_lr_multiplier: 0.1
+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
+render_loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: false
+        complex_threshold: 0.4
+        complex_threshold_list:
+            - 0
+            - 0.2
+            - 0.4
+            - 0.6
+            - 0.8
+        compute_scores: true
+        nvs_view_N_list:
+            - 3
+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
+        pred_intrinsic: true
+        rot_opt_lr: 0.005
+        save_active_mask_image: false
+        save_compare: false
+        save_complex_score_image: false
+        save_image: false
+        save_video: false
+        threshold_mode: ratio
+        trans_opt_lr: 0.005
+train:
+    value:
+        align_corners: false
+        base_complex_exp_rate: 4
+        camera_loss: 1
+        complex_random_mode: num_gs_mode3
+        complex_threshold_range:
+            - 0
+            - 3
+        direct_iteration_steps: 0
+        direct_loss_weight: 0
+        extended_visualization: false
+        intrinsic_scaling: true
+        one_sample_validation: datasets/dl3dv/room_batch.pt
+        pred_focal_cam_loss: false
+        print_log_every_n_steps: 10
+        scaling_detach: true
+        start_density_control: 0
+        train_context: true
+        train_extrinsic: true
+        train_hybrid: false
+        twice_backward: false
+        use_pred_point_focal: false
+        use_refine_aux: false
+        use_target_uncertainty: point_similarity_mult
+        use_umeyama: false
+        use_uncertainty_camera_weight: true
+        verbose: false
+trainer:
+    value:
+        gradient_clip_val: 0.5
+        max_steps: 18751
+        num_nodes: 1
+        val_check_interval: 500
+wandb:
+    value:
+        entity: scene-representation-group
+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
+            - dl3dv
+            - 224x448
+            - full
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diff --git a/checkpoints/wandb/run-20251026_192802-x8raice2/files/output.log b/checkpoints/wandb/run-20251026_192802-x8raice2/files/output.log
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 247 K  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+588 M     Trainable params
+0         Non-trainable params
+588 M     Total params
+2,353.885 Total estimated model params size (MB)
+828       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 19:28:05,191][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 19:28:08,758][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 19:28:08,760][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:28:08,760][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 19:28:12,962][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+DL3DV: train: loaded 9570 scenes                                                                                    
+Setting epoch for all underlying BatchedRandomSamplers
+Epoch 0:   0%|                                                       | 9/7853 [00:13<3:16:02,  0.67it/s, v_num=ice2]train step 10; scene = ['dl3dv_c104b43b418cae']; loss = 0.536275
+Epoch 0:   0%|▏                                                     | 19/7853 [00:28<3:13:36,  0.67it/s, v_num=ice2]train step 20; scene = ['dl3dv_7d4a551cb62c55']; loss = 0.146355
+Epoch 0:   0%|▏                                                     | 29/7853 [00:42<3:12:20,  0.68it/s, v_num=ice2]train step 30; scene = ['dl3dv_43101039ceceb9']; loss = 1.081457
+Epoch 0:   0%|▎                                                     | 39/7853 [00:54<3:02:06,  0.72it/s, v_num=ice2]train step 40; scene = ['dl3dv_42bb80b882b630']; loss = -0.173319
+Epoch 0:   1%|▎                                                     | 49/7853 [01:07<2:58:38,  0.73it/s, v_num=ice2]train step 50; scene = ['dl3dv_944c438fb3551c', 'dl3dv_9c9f28e99cfb0e']; loss = -0.345423
+Epoch 0:   1%|▍                                                     | 59/7853 [01:19<2:55:36,  0.74it/s, v_num=ice2]train step 60; scene = ['dl3dv_0d2d0436eeca93']; loss = 0.026026
+Epoch 0:   1%|▍                                                     | 69/7853 [01:34<2:57:29,  0.73it/s, v_num=ice2]train step 70; scene = ['dl3dv_9907d0f36ef292']; loss = -0.387049
+Epoch 0:   1%|▌                                                     | 79/7853 [01:48<2:58:08,  0.73it/s, v_num=ice2]train step 80; scene = ['dl3dv_d53baa8b39e431']; loss = -0.316794
+Epoch 0:   1%|▌                                                     | 89/7853 [02:02<2:57:30,  0.73it/s, v_num=ice2]train step 90; scene = ['dl3dv_f69e6fbb33a571']; loss = -0.136759
+Epoch 0:   1%|▋                                                     | 99/7853 [02:18<3:00:34,  0.72it/s, v_num=ice2]train step 100; scene = ['dl3dv_b254ff35d4593e', 'dl3dv_5d5949c63a1954']; loss = -0.588510
+Epoch 0:   1%|▋                                                    | 109/7853 [02:30<2:58:32,  0.72it/s, v_num=ice2]train step 110; scene = ['dl3dv_f4e8d884fbed1a']; loss = -0.497764
+Epoch 0:   2%|▊                                                    | 119/7853 [02:43<2:56:37,  0.73it/s, v_num=ice2]train step 120; scene = ['dl3dv_f0e9cce78259cb']; loss = -0.623790
+Epoch 0:   2%|▊                                                    | 124/7853 [02:49<2:56:35,  0.73it/s, v_num=ice2][2025-10-26 19:33:09,720][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+Epoch 0:   2%|▊                                                    | 129/7853 [02:57<2:56:52,  0.73it/s, v_num=ice2]train step 130; scene = ['dl3dv_295aaa46488343']; loss = -0.593500
+Epoch 0:   2%|▉                                                    | 133/7853 [03:02<2:56:33,  0.73it/s, v_num=ice2]
+
+Detected KeyboardInterrupt, attempting graceful shutdown ...
+Error executing job with overrides: ['+experiment=dl3dv', 'wandb.mode=online', 'wandb.name=1027_DL3DV_FULL_U', 'train.one_sample_validation=datasets/dl3dv/room_batch.pt', 'optimizer.backbone_trainable=GB+H', 'model.encoder.use_uncertainty_token=true', 'train.use_uncertainty_camera_weight=true', 'train.use_target_uncertainty=point_similarity_mult', 'model.density_control.refinement_type=perceiver', 'model.density_control.num_latents=32', 'model.density_control.latent_dim=64']
+Traceback (most recent call last):
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 48, in _call_and_handle_interrupt
+    return trainer_fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 114, in advance
+    training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/strategy.py", line 391, in training_step
+    return self.lightning_module.training_step(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 328, in training_step
+    complex_threshold = self.get_random_complex_threshold(batch_size=BN, view_size=CVN, complex_score_chunk=complex_score_chunk, device=input_images.device)
+                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 248, in get_random_complex_threshold
+    quantile_ratio = torch.distributions.Beta(0.5, beta_param).sample((batch_size,)).to(device)
+                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/main.py", line 193, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 61, in _call_and_handle_interrupt
+    trainer._teardown()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1039, in _teardown
+    loop.teardown()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 502, in teardown
+    self._data_fetcher.teardown()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fetchers.py", line 82, in teardown
+    self._combined_loader.reset()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/combined_loader.py", line 367, in reset
+    _shutdown_workers_and_reset_iterator(iterable)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/combined_loader.py", line 400, in _shutdown_workers_and_reset_iterator
+    dataloader._iterator._shutdown_workers()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1627, in _shutdown_workers
+    w.join(timeout=_utils.MP_STATUS_CHECK_INTERVAL)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/multiprocessing/process.py", line 149, in join
+    res = self._popen.wait(timeout)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/multiprocessing/popen_fork.py", line 40, in wait
+    if not wait([self.sentinel], timeout):
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/multiprocessing/connection.py", line 1136, in wait
+    ready = selector.select(timeout)
+            ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/selectors.py", line 415, in select
+    fd_event_list = self._selector.poll(timeout)
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
+    _error_if_any_worker_fails()
+RuntimeError: DataLoader worker (pid 13529) exited unexpectedly with exit code 1. Details are lost due to multiprocessing. Rerunning with num_workers=0 may give better error trace.
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/checkpoints/wandb/run-20251026_192802-x8raice2/files/requirements.txt b/checkpoints/wandb/run-20251026_192802-x8raice2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192802-x8raice2/files/requirements.txt
@@ -0,0 +1,119 @@
+lightning==2.5.1
+opt-einsum-fx==0.1.4
+six==1.17.0
+colorama==0.4.6
+fsspec==2024.6.1
+Pygments==2.19.2
+yarl==1.20.1
+MarkupSafe==3.0.2
+beartype==0.19.0
+Jinja2==3.1.6
+omegaconf==2.3.0
+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
+opencv-python==4.11.0.86
+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
+antlr4-python3-runtime==4.9.3
+aiohttp==3.12.15
+einops==0.8.1
+smmap==5.0.2
+proglog==0.1.12
+pydantic_core==2.33.2
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
+lpips==0.1.4
+multidict==6.6.4
+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
+nvidia-cusolver-cu12==11.7.2.55
+mpmath==1.3.0
+jaxtyping==0.2.37
+torchaudio==2.7.1+cu128
+fused-ssim==1.0.0
+nvidia-cudnn-cu12==9.7.1.26
+python-dateutil==2.9.0.post0
+frozenlist==1.7.0
+e3nn==0.5.8
+kornia_rs==0.1.9
+PyYAML==6.0.2
+packaging==24.2
+ninja==1.13.0
+setuptools==78.1.1
+gmpy2==2.2.1
+tabulate==0.9.0
+decorator==4.4.2
+nvidia-cusparse-cu12==12.5.7.53
+triton==3.3.1
+numpy==1.26.4
+contourpy==1.3.2
+torchvision==0.22.1+cu128
+lazy_loader==0.4
+gitdb==4.0.12
+nvidia-cufft-cu12==11.3.3.41
+requests==2.32.5
+typing_extensions==4.15.0
+platformdirs==4.4.0
+PySocks==1.7.1
+nvidia-nccl-cu12==2.26.2
+certifi==2025.8.3
+aiohappyeyeballs==2.6.1
+wadler_lindig==0.1.7
+gsplat==1.5.3
+rich==14.1.0
diff --git a/checkpoints/wandb/run-20251026_192802-x8raice2/files/wandb-metadata.json b/checkpoints/wandb/run-20251026_192802-x8raice2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..e8d363e206854700c4293d2f1e599b5b6aaafd2a
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192802-x8raice2/files/wandb-metadata.json
@@ -0,0 +1,99 @@
+{
+  "os":  "Linux-5.15.0-157-generic-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.12",
+  "startedAt":  "2025-10-27T02:28:02.345753Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult",
+    "model.density_control.refinement_type=perceiver",
+    "model.density_control.num_latents=32",
+    "model.density_control.latent_dim=64"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/CVPR2026.git"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U",
+  "host":  "notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0",
+  "executable":  "/opt/conda/envs/dcsplat/bin/python",
+  "cpu_count":  128,
+  "cpu_count_logical":  256,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1081101176832",
+      "used":  "131847155712"
+    }
+  },
+  "memory":  {
+    "total":  "2163983302656"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-54d5d857-4546-967d-c3af-db1f156d7f41"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-923bd3c1-bd2a-beef-2fcf-7ca2fb0ad9a8"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-fbcea736-ea20-9820-7627-0b6d970b5270"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-4c2283a2-543f-a52b-b3c7-2e6812a89a21"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-e6994020-85dd-f5ea-620f-1c2feb276273"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-00c57f2f-d95e-f10a-fef8-50e497815c70"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-83a0753f-78d3-caeb-272b-1ea556bb0880"
+    }
+  ],
+  "cudaVersion":  "12.9",
+  "writerId":  "0guesreq2onu7ynf08zxmouv0qkxhwoa"
+}
\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_192802-x8raice2/files/wandb-summary.json b/checkpoints/wandb/run-20251026_192802-x8raice2/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..03344389acd60bba802d37ec94c6d219fe8b2516
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192802-x8raice2/files/wandb-summary.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_192802-x8raice2/logs/debug-core.log b/checkpoints/wandb/run-20251026_192802-x8raice2/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..1e3c3685965712a6a5ed9cde7abe2144fa9f13de
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192802-x8raice2/logs/debug-core.log
@@ -0,0 +1,14 @@
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+{"time":"2025-10-26T19:28:02.386515239-07:00","level":"INFO","msg":"server: will exit if parent process dies","ppid":9863}
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+{"time":"2025-10-26T19:33:36.921853986-07:00","level":"INFO","msg":"server is shutting down"}
+{"time":"2025-10-26T19:33:36.921936308-07:00","level":"INFO","msg":"connection: closed successfully","id":"1(@)"}
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diff --git a/checkpoints/wandb/run-20251026_192802-x8raice2/logs/debug-internal.log b/checkpoints/wandb/run-20251026_192802-x8raice2/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..a53729b3f68a3bccbcc2f13fb107143421912209
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_192802-x8raice2/logs/debug-internal.log
@@ -0,0 +1,11 @@
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+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                    - dataset.dl3dv.view_sampler.max_img_per_gpu=24
+                    - dataset.dl3dv.view_sampler.num_context_views=24
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "12.9"
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+                email: dna9041@korea.ac.kr
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+                git:
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-54d5d857-4546-967d-c3af-db1f156d7f41
+                    - architecture: Blackwell
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-00c57f2f-d95e-f10a-fef8-50e497815c70
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+                      memoryTotal: "192265846784"
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+                memory:
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+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
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+            persistent_workers: true
+            seed: 1234
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+dataset:
+    value:
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+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
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+            original_image_shape:
+                - 270
+                - 480
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+            roots:
+                - datasets/dl3dv
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+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
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+                max_gap_multiplier: 5
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+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 24
+                warm_up_steps: 0
+density_control_loss:
+    value:
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+            sigmoid_score: true
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+                - 518
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+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
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+            weight: 0.05
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+seed:
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+test:
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+        complex_threshold: 0.4
+        complex_threshold_list:
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+        compute_scores: true
+        nvs_view_N_list:
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+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
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+        save_active_mask_image: false
+        save_compare: false
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+        threshold_mode: ratio
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+train:
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+        use_pred_point_focal: false
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+        use_target_uncertainty: point_similarity_mult
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+wandb:
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+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
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+            - 224x448
+            - full
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+size 9940800
diff --git a/checkpoints/wandb/run-20251026_193022-4rklaevz/files/output.log b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/output.log
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+++ b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/output.log
@@ -0,0 +1,113 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [2]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 19:30:25,466][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 19:30:29,259][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 19:30:29,261][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:30:29,261][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 19:30:33,394][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+DL3DV: train: loaded 9570 scenes                                                                                    
+Setting epoch for all underlying BatchedRandomSamplers
+Epoch 0:   0%|                                                       | 1/7821 [00:03<8:40:54,  0.25it/s, v_num=aevz]
+Error executing job with overrides: ['+experiment=dl3dv', 'wandb.mode=online', 'wandb.name=1027_DL3DV_FULL_U', 'train.one_sample_validation=datasets/dl3dv/room_batch.pt', 'optimizer.backbone_trainable=GB+H', 'model.encoder.use_uncertainty_token=true', 'train.use_uncertainty_camera_weight=true', 'train.use_target_uncertainty=point_similarity_mult', 'dataset.dl3dv.view_sampler.max_img_per_gpu=24', 'dataset.dl3dv.view_sampler.num_context_views=24']
+Traceback (most recent call last):
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/main.py", line 193, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 48, in _call_and_handle_interrupt
+    return trainer_fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 114, in advance
+    training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/strategy.py", line 391, in training_step
+    return self.lightning_module.training_step(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 529, in training_step
+    output, visibility, means2D, _ = self.decoder.forward(
+                                     ^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/decoder/decoder_splatting_cuda.py", line 58, in forward
+    out, mean_gradients, visibility = self.gsplat_rendering_fn(gaussians, extrinsics, intrinsics, near, far, image_shape, return_depth, grad_mode)
+                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/decoder/decoder_splatting_cuda.py", line 127, in gsplat_rendering_fn
+    rendering, alpha, info = rasterization(means, rotations, scales, opacitys, haramonics,
+                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/gsplat/rendering.py", line 531, in rasterization
+    colors = spherical_harmonics(
+             ^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/gsplat/cuda/_wrapper.py", line 180, in spherical_harmonics
+    degrees_to_use, dirs.contiguous(), coeffs.contiguous(), masks
+                                       ^^^^^^^^^^^^^^^^^^^
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.04 GiB. GPU 0 has a total capacity of 178.35 GiB of which 16.12 GiB is free. Including non-PyTorch memory, this process has 160.52 GiB memory in use. Of the allocated memory 144.67 GiB is allocated by PyTorch, and 14.97 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/checkpoints/wandb/run-20251026_193022-4rklaevz/files/requirements.txt b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/requirements.txt
@@ -0,0 +1,119 @@
+lightning==2.5.1
+opt-einsum-fx==0.1.4
+six==1.17.0
+colorama==0.4.6
+fsspec==2024.6.1
+Pygments==2.19.2
+yarl==1.20.1
+MarkupSafe==3.0.2
+beartype==0.19.0
+Jinja2==3.1.6
+omegaconf==2.3.0
+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
+opencv-python==4.11.0.86
+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
+antlr4-python3-runtime==4.9.3
+aiohttp==3.12.15
+einops==0.8.1
+smmap==5.0.2
+proglog==0.1.12
+pydantic_core==2.33.2
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
+lpips==0.1.4
+multidict==6.6.4
+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
+nvidia-cusolver-cu12==11.7.2.55
+mpmath==1.3.0
+jaxtyping==0.2.37
+torchaudio==2.7.1+cu128
+fused-ssim==1.0.0
+nvidia-cudnn-cu12==9.7.1.26
+python-dateutil==2.9.0.post0
+frozenlist==1.7.0
+e3nn==0.5.8
+kornia_rs==0.1.9
+PyYAML==6.0.2
+packaging==24.2
+ninja==1.13.0
+setuptools==78.1.1
+gmpy2==2.2.1
+tabulate==0.9.0
+decorator==4.4.2
+nvidia-cusparse-cu12==12.5.7.53
+triton==3.3.1
+numpy==1.26.4
+contourpy==1.3.2
+torchvision==0.22.1+cu128
+lazy_loader==0.4
+gitdb==4.0.12
+nvidia-cufft-cu12==11.3.3.41
+requests==2.32.5
+typing_extensions==4.15.0
+platformdirs==4.4.0
+PySocks==1.7.1
+nvidia-nccl-cu12==2.26.2
+certifi==2025.8.3
+aiohappyeyeballs==2.6.1
+wadler_lindig==0.1.7
+gsplat==1.5.3
+rich==14.1.0
diff --git a/checkpoints/wandb/run-20251026_193022-4rklaevz/files/wandb-metadata.json b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c5ba9e08fcb2836995e6d72f27460e34ac5c1ddc
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/wandb-metadata.json
@@ -0,0 +1,98 @@
+{
+  "os":  "Linux-5.15.0-157-generic-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.12",
+  "startedAt":  "2025-10-27T02:30:22.570688Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult",
+    "dataset.dl3dv.view_sampler.max_img_per_gpu=24",
+    "dataset.dl3dv.view_sampler.num_context_views=24"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/CVPR2026.git"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U",
+  "host":  "notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0",
+  "executable":  "/opt/conda/envs/dcsplat/bin/python",
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+  "gpu":  "NVIDIA B200",
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+  "disk":  {
+    "/":  {
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+    }
+  },
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+  },
+  "gpu_nvidia":  [
+    {
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+      "uuid":  "GPU-db54dd24-eb9e-e26f-19d8-1d7021a3a376"
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-00c57f2f-d95e-f10a-fef8-50e497815c70"
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+  "writerId":  "vwf5qgwfi4w5o8x5866mqjfhcn4rk75l"
+}
\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_193022-4rklaevz/files/wandb-summary.json b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/wandb-summary.json
new file mode 100644
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--- /dev/null
+++ b/checkpoints/wandb/run-20251026_193022-4rklaevz/files/wandb-summary.json
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\ No newline at end of file
diff --git a/checkpoints/wandb/run-20251026_193022-4rklaevz/logs/debug-core.log b/checkpoints/wandb/run-20251026_193022-4rklaevz/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..a6ca4821ac60dd4dccd06c3f2f66f676dd4be943
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_193022-4rklaevz/logs/debug-core.log
@@ -0,0 +1,14 @@
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+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "12.9"
+                disk:
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+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                host: notebook-c8f942b6-b2d9-11f0-b992-125e6a168a5d-0
+                memory:
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+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
+                python: CPython 3.12.12
+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T02:36:00.627343Z"
+                writerId: crkf9k479bjqald9qur3i3rwwd0pnqx6
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+            persistent_workers: true
+            seed: 1234
+        val:
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+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
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+            avg_pose: false
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+            input_image_shape:
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+                - 448
+            intr_augment: false
+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
+            normalize_by_pts3d: false
+            original_image_shape:
+                - 270
+                - 480
+            overfit_to_scene: null
+            relative_pose: true
+            rescale_to_1cube: false
+            roots:
+                - datasets/dl3dv
+            skip_bad_shape: true
+            view_sampler:
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+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
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+                max_gap_multiplier: 5
+                max_img_per_gpu: 16
+                min_distance_between_context_views: 32
+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 16
+                warm_up_steps: 0
+density_control_loss:
+    value:
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+            log_scale: false
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+            weight: 0.01
+direct_loss:
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+        ssim:
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+mode:
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+                - 0
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+            name: splatting_cuda
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+            gs_param_dim: 256
+            latent_dim: 128
+            mean_dim: 32
+            name: density_control_module
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+            score_mode: 3
+            sigmoid_score: true
+            use_mean_features: true
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+            aggregator_bf16: false
+            align_corners: false
+            camera_prompt: false
+            extrinsic_drop: 0.1
+            gs_bf16: true
+            gs_param_dim: 256
+            head_mode: pcd
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+            input_image_shape:
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+                - 518
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+            use_pnp_solver: false
+            use_uncertainty_token: true
+optimizer:
+    value:
+        accumulate: 1
+        backbone_lr_multiplier: 0.1
+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
+render_loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
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+seed:
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+test:
+    value:
+        align_pose: false
+        complex_threshold: 0.4
+        complex_threshold_list:
+            - 0
+            - 0.2
+            - 0.4
+            - 0.6
+            - 0.8
+        compute_scores: true
+        nvs_view_N_list:
+            - 3
+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
+        pred_intrinsic: true
+        rot_opt_lr: 0.005
+        save_active_mask_image: false
+        save_compare: false
+        save_complex_score_image: false
+        save_image: false
+        save_video: false
+        threshold_mode: ratio
+        trans_opt_lr: 0.005
+train:
+    value:
+        align_corners: false
+        base_complex_exp_rate: 4
+        camera_loss: 1
+        complex_random_mode: num_gs_mode3
+        complex_threshold_range:
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+            - 3
+        direct_iteration_steps: 0
+        direct_loss_weight: 0
+        extended_visualization: false
+        intrinsic_scaling: true
+        one_sample_validation: datasets/dl3dv/room_batch.pt
+        pred_focal_cam_loss: false
+        print_log_every_n_steps: 10
+        scaling_detach: true
+        start_density_control: 0
+        train_context: true
+        train_extrinsic: true
+        train_hybrid: false
+        twice_backward: false
+        use_pred_point_focal: false
+        use_refine_aux: false
+        use_target_uncertainty: point_similarity_mult
+        use_umeyama: false
+        use_uncertainty_camera_weight: true
+        verbose: false
+trainer:
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+        max_steps: 18751
+        num_nodes: 1
+        val_check_interval: 500
+wandb:
+    value:
+        entity: scene-representation-group
+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
+            - dl3dv
+            - 224x448
+            - full
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diff --git a/checkpoints/wandb/run-20251026_193600-hkgbtcr8/files/output.log b/checkpoints/wandb/run-20251026_193600-hkgbtcr8/files/output.log
new file mode 100644
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+++ b/checkpoints/wandb/run-20251026_193600-hkgbtcr8/files/output.log
@@ -0,0 +1,167 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 19:36:04,347][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=31` in the `DataLoader` to improve performance.
+
+[2025-10-26 19:36:04,351][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 19:36:08,105][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 19:36:08,107][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:36:08,107][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 19:36:12,202][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+Sanity Checking DataLoader 0: 100%|███████████████████████████████████████████████████| 1/1 [00:15<00:00,  0.06it/s][2025-10-26 19:36:20,660][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,662][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,662][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/gaussian_num_ratio', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/uncertainty_weight_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 19:36:20,663][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('info/global_step', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+DL3DV: train: loaded 9570 scenes                                                                                    
+Setting epoch for all underlying BatchedRandomSamplers
+Setting epoch for all underlying BatchedRandomSamplers
+[2025-10-26 19:38:49,451][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+
+Epoch 0:   0%|                                                                              | 0/966 [00:00<?, ?it/s][2025-10-26 19:38:56,872][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+Epoch 0:   1%|▌                                                         | 9/966 [00:21<38:06,  0.42it/s, v_num=tcr8]train step 10; scene = ['dl3dv_86c4e7e28a5a1d']; loss = 0.305455
+Epoch 0:   2%|█                                                        | 19/966 [00:43<35:43,  0.44it/s, v_num=tcr8]train step 20; scene = ['dl3dv_14c8dbdf0e9f47']; loss = 0.038296
+Epoch 0:   3%|█▋                                                       | 29/966 [01:02<33:45,  0.46it/s, v_num=tcr8]train step 30; scene = ['dl3dv_7162fa60174ec0']; loss = -0.095982
+Epoch 0:   4%|██▎                                                      | 39/966 [01:20<32:01,  0.48it/s, v_num=tcr8]train step 40; scene = ['dl3dv_216e0ca687293f']; loss = -0.464229
+Epoch 0:   5%|██▉                                                      | 49/966 [01:38<30:50,  0.50it/s, v_num=tcr8]train step 50; scene = ['dl3dv_875f35bd3e32b8']; loss = -0.364000
+Epoch 0:   6%|███▍                                                     | 59/966 [01:57<30:09,  0.50it/s, v_num=tcr8]train step 60; scene = ['dl3dv_174b260f47db9b']; loss = -0.711959
+Epoch 0:   7%|████                                                     | 69/966 [02:16<29:38,  0.50it/s, v_num=tcr8]
+Error executing job with overrides: ['+experiment=dl3dv', 'wandb.mode=online', 'wandb.name=1027_DL3DV_FULL_U', 'train.one_sample_validation=datasets/dl3dv/room_batch.pt', 'optimizer.backbone_trainable=GB+H', 'model.encoder.use_uncertainty_token=true', 'train.use_uncertainty_camera_weight=true', 'train.use_target_uncertainty=point_similarity_mult']
+Traceback (most recent call last):
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/main.py", line 193, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 47, in _call_and_handle_interrupt
+    return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/launchers/subprocess_script.py", line 105, in launch
+    return function(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/loops/optimization/manual.py", line 114, in advance
+    training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/strategy.py", line 390, in training_step
+    return self._forward_redirection(self.model, self.lightning_module, "training_step", *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/strategy.py", line 641, in __call__
+    wrapper_output = wrapper_module(*args, **kwargs)
+                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/nn/parallel/distributed.py", line 1637, in forward
+    else self._run_ddp_forward(*inputs, **kwargs)
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/nn/parallel/distributed.py", line 1464, in _run_ddp_forward
+    return self.module(*inputs, **kwargs)  # type: ignore[index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/strategies/strategy.py", line 634, in wrapped_forward
+    out = method(*_args, **_kwargs)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 678, in training_step
+    gt_pose_enc = self.get_gt_pose_enc(batch, gs_outputs, cam_weight=cam_weight)  # T 3, R 4, focal 2
+                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 1682, in get_gt_pose_enc
+    extr_scale, intr_scale = self.cam_scale_factor(out, batch, use_intrinsic_scale=False, cam_weight=cam_weight)
+                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/opt/conda/envs/dcsplat/lib/python3.12/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/src/model/model_wrapper.py", line 1645, in cam_scale_factor
+    assert not (gt_scale == 0).any()
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+AssertionError
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/checkpoints/wandb/run-20251026_193600-hkgbtcr8/files/requirements.txt b/checkpoints/wandb/run-20251026_193600-hkgbtcr8/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_193600-hkgbtcr8/files/requirements.txt
@@ -0,0 +1,119 @@
+lightning==2.5.1
+opt-einsum-fx==0.1.4
+six==1.17.0
+colorama==0.4.6
+fsspec==2024.6.1
+Pygments==2.19.2
+yarl==1.20.1
+MarkupSafe==3.0.2
+beartype==0.19.0
+Jinja2==3.1.6
+omegaconf==2.3.0
+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
+opencv-python==4.11.0.86
+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
+antlr4-python3-runtime==4.9.3
+aiohttp==3.12.15
+einops==0.8.1
+smmap==5.0.2
+proglog==0.1.12
+pydantic_core==2.33.2
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
+lpips==0.1.4
+multidict==6.6.4
+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
+nvidia-cusolver-cu12==11.7.2.55
+mpmath==1.3.0
+jaxtyping==0.2.37
+torchaudio==2.7.1+cu128
+fused-ssim==1.0.0
+nvidia-cudnn-cu12==9.7.1.26
+python-dateutil==2.9.0.post0
+frozenlist==1.7.0
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+    "train.use_uncertainty_camera_weight=true",
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+  ],
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 19:49:04,791][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=255` in the `DataLoader` to improve performance.
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 19:49:08,489][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 19:49:08,490][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 19:49:08,490][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 19:49:12,665][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+DL3DV: train: loaded 9570 scenes                                                                                    
+Setting epoch for all underlying BatchedRandomSamplers
+Epoch 0:   0%|                                                       | 9/7853 [00:13<3:16:25,  0.67it/s, v_num=jjpy]train step 10; scene = ['dl3dv_c104b43b418cae']; loss = 0.578107
+Epoch 0:   0%|▏                                                     | 19/7853 [00:28<3:12:57,  0.68it/s, v_num=jjpy]train step 20; scene = ['dl3dv_7d4a551cb62c55']; loss = 0.130106
+Epoch 0:   0%|▏                                                     | 29/7853 [00:42<3:13:07,  0.68it/s, v_num=jjpy]train step 30; scene = ['dl3dv_43101039ceceb9']; loss = 0.962515
+Epoch 0:   0%|▎                                                     | 39/7853 [00:55<3:03:54,  0.71it/s, v_num=jjpy]train step 40; scene = ['dl3dv_42bb80b882b630']; loss = -0.124015
+Epoch 0:   1%|▎                                                     | 49/7853 [01:08<3:00:37,  0.72it/s, v_num=jjpy]train step 50; scene = ['dl3dv_944c438fb3551c', 'dl3dv_9c9f28e99cfb0e']; loss = -0.323595
+Epoch 0:   1%|▍                                                     | 59/7853 [01:20<2:57:45,  0.73it/s, v_num=jjpy]train step 60; scene = ['dl3dv_0d2d0436eeca93']; loss = -0.256281
+Epoch 0:   1%|▍                                                     | 69/7853 [01:35<2:59:47,  0.72it/s, v_num=jjpy]train step 70; scene = ['dl3dv_9907d0f36ef292']; loss = -0.318252
+Epoch 0:   1%|▌                                                     | 79/7853 [01:49<3:00:22,  0.72it/s, v_num=jjpy]train step 80; scene = ['dl3dv_d53baa8b39e431']; loss = -0.307399
+Epoch 0:   1%|▌                                                     | 89/7853 [02:03<2:59:10,  0.72it/s, v_num=jjpy]train step 90; scene = ['dl3dv_f69e6fbb33a571']; loss = -0.075928
+Epoch 0:   1%|▋                                                     | 99/7853 [02:19<3:02:11,  0.71it/s, v_num=jjpy]train step 100; scene = ['dl3dv_b254ff35d4593e', 'dl3dv_5d5949c63a1954']; loss = -0.520700
+Epoch 0:   1%|▋                                                    | 109/7853 [02:31<2:59:55,  0.72it/s, v_num=jjpy]train step 110; scene = ['dl3dv_f4e8d884fbed1a']; loss = -0.574453
+Epoch 0:   1%|▋                                                    | 110/7853 [02:32<2:59:28,  0.72it/s, v_num=jjpy]
diff --git a/checkpoints/wandb/run-20251026_194902-5ngxjjpy/files/requirements.txt b/checkpoints/wandb/run-20251026_194902-5ngxjjpy/files/requirements.txt
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+config: {'model': {'encoder': {'name': 'dcsplat', 'input_image_shape': [518, 518], 'head_mode': 'pcd', 'same_head': False, 'num_level': 3, 'gs_param_dim': 256, 'camera_prompt': False, 'num_visual_prompt': 0, 'use_extrinsic_token': False, 'use_intrinsic_token': False, 'extrinsic_drop': 0.1, 'intrinsic_drop': 0.1, 'use_pnp_solver': False, 'align_corners': False, 'image_scale': 1.0, 'use_uncertainty_token': True, 'gs_bf16': True, 'aggregator_bf16': False, 'img_num_frame_token_N': 0, 'img_num_global_token_N': 0, 'use_gs_param_img_num_embed': True, 'use_mean_param_img_num_embed': False}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'use_gsplat': True}, 'density_control': {'name': 'density_control_module', 'mean_dim': 32, 'gs_param_dim': 256, 'refinement_layer_num': 1, 'num_level': 3, 'grad_mode': 'absgrad', 'use_mean_features': True, 'refinement_type': 'quadtree', 'refinement_hidden_dim': 32, 'aggregation_mode': 'mean', 'num_heads': 1, 'score_mode': 3, 'sigmoid_score': True, 'latent_dim': 128, 'num_latents': 64, 'num_self_attn_per_block': 2}}, 'render_loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'density_control_loss': {'complex_score': {'weight': 0.01, 'log_scale': False, 'grad_scale': 5000.0, 'mode': 1}}, 'direct_loss': {'l1': {'weight': 0.8}, 'ssim': {'weight': 0.2}}, 'wandb': {'project': 'DCSplat', 'entity': 'scene-representation-group', 'name': '1027_DL3DV_FULL_U', 'mode': 'online', 'tags': ['dl3dv', '224x448', 'full']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 4, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0002, 'warm_up_steps': 125, 'backbone_lr_multiplier': 0.1, 'backbone_trainable': 'GB+H', 'accumulate': 1}, 'checkpointing': {'load': None, 'every_n_train_steps': 9375, 'save_top_k': 1, 'save_weights_only': True}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'camera_loss': 1.0, 'one_sample_validation': 'datasets/dl3dv/room_batch.pt', 'align_corners': False, 'intrinsic_scaling': True, 'train_context': True, 'train_hybrid': False, 'use_pred_point_focal': False, 'scaling_detach': True, 'complex_threshold_range': [0.0, 3.0], 'use_umeyama': False, 'pred_focal_cam_loss': False, 'direct_loss_weight': 0.0, 'direct_iteration_steps': 0, 'twice_backward': False, 'use_uncertainty_camera_weight': True, 'use_target_uncertainty': 'point_similarity_mult', 'verbose': False, 'complex_random_mode': 'num_gs_mode3', 'start_density_control': 0.0, 'base_complex_exp_rate': 4.0, 'use_refine_aux': False, 'train_extrinsic': True}, 'test': {'output_path': 'test/full/dl3dv', 'align_pose': False, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': False, 'save_video': False, 'save_active_mask_image': False, 'save_complex_score_image': False, 'save_compare': False, 'pred_intrinsic': True, 'complex_threshold': 0.4, 'complex_threshold_list': [0.0, 0.2, 0.4, 0.6, 0.8], 'threshold_mode': 'ratio', 'nvs_view_N_list': [3, 6, 16, 32, 64]}, 'seed': 111123, 'trainer': {'max_steps': 18751, 'val_check_interval': 500, 'gradient_clip_val': 0.5, 'num_nodes': 1}, 'dataset': {'dl3dv': {'make_baseline_1': False, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded_dl3dv', 'min_target_views': 4, 'num_context_views': 16, 'warm_up_steps': 0, 'max_img_per_gpu': 16, 'min_distance_to_context_views': 0, 'initial_min_distance_between_context_views': 5, 'initial_max_distance_between_context_views': 7, 'min_distance_between_context_views': 32, 'max_distance_between_context_views': 256, 'min_gap_multiplier': 3, 'max_gap_multiplier': 5, 'initial_min_gap_multiplier': 2, 'initial_max_gap_multiplier': 3}, 'name': 'dl3dv', 'roots': ['datasets/dl3dv'], 'input_image_shape': [224, 448], 'original_image_shape': [270, 480], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 100.0, 'max_fov': 100.0, 'avg_pose': False, 'rescale_to_1cube': False, 'intr_augment': False, 'normalize_by_pts3d': False}}, '_wandb': {}}
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diff --git a/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/config.yaml b/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/config.yaml
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+_wandb:
+    value:
+        cli_version: 0.22.0
+        e:
+            kcch7kxslkcx7ags4avr8ignjfsvq4ew:
+                args:
+                    - +experiment=dl3dv
+                    - wandb.mode=online
+                    - wandb.name=1027_DL3DV_FULL_U
+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1081101176832"
+                        used: "107022712832"
+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
+                    remote: git@github.com:K-nowing/CVPR2026.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-bc96f63a-16e3-7377-ce97-a64606d50e85
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-ac684980-9e14-c20f-44ed-f204c643bf36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-08905a09-8ef1-dc75-6052-641ec21d1d84
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-fadc18b7-91ef-38bb-47f5-252bc613b1ce
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-87eae1b2-ddb2-da30-b4a5-11a81df6122f
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-3a97db04-5176-ad9f-c92a-ad283a4f89fe
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-6df3bf18-8c2f-875c-a260-ec74778fa634
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-9bbf3bdf-cc9d-3455-ae15-ef4faa3bdcc1
+                host: notebook-61057517-b2e0-11f0-b992-125e6a168a5d-0
+                memory:
+                    total: "2163983327232"
+                os: Linux-5.15.0-157-generic-x86_64-with-glibc2.35
+                program: -m src.main
+                python: CPython 3.12.12
+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T03:06:30.124373Z"
+                writerId: kcch7kxslkcx7ags4avr8ignjfsvq4ew
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.12.12
+        t:
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+                - 1
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+                - 66
+            "4": 3.12.12
+            "5": 0.22.0
+            "12": 0.22.0
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 9375
+        load: null
+        save_top_k: 1
+        save_weights_only: true
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 4
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        dl3dv:
+            augment: true
+            avg_pose: false
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 100
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 448
+            intr_augment: false
+            make_baseline_1: false
+            max_fov: 100
+            name: dl3dv
+            normalize_by_pts3d: false
+            original_image_shape:
+                - 270
+                - 480
+            overfit_to_scene: null
+            relative_pose: true
+            rescale_to_1cube: false
+            roots:
+                - datasets/dl3dv
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 7
+                initial_max_gap_multiplier: 3
+                initial_min_distance_between_context_views: 5
+                initial_min_gap_multiplier: 2
+                max_distance_between_context_views: 256
+                max_gap_multiplier: 5
+                max_img_per_gpu: 16
+                min_distance_between_context_views: 32
+                min_distance_to_context_views: 0
+                min_gap_multiplier: 3
+                min_target_views: 4
+                name: bounded_dl3dv
+                num_context_views: 16
+                warm_up_steps: 0
+density_control_loss:
+    value:
+        complex_score:
+            grad_scale: 5000
+            log_scale: false
+            mode: 1
+            weight: 0.01
+direct_loss:
+    value:
+        l1:
+            weight: 0.8
+        ssim:
+            weight: 0.2
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+            use_gsplat: true
+        density_control:
+            aggregation_mode: mean
+            grad_mode: absgrad
+            gs_param_dim: 256
+            latent_dim: 128
+            mean_dim: 32
+            name: density_control_module
+            num_heads: 1
+            num_latents: 64
+            num_level: 3
+            num_self_attn_per_block: 2
+            refinement_hidden_dim: 32
+            refinement_layer_num: 1
+            refinement_type: quadtree
+            score_mode: 3
+            sigmoid_score: true
+            use_mean_features: true
+        encoder:
+            aggregator_bf16: false
+            align_corners: false
+            camera_prompt: false
+            extrinsic_drop: 0.1
+            gs_bf16: true
+            gs_param_dim: 256
+            head_mode: pcd
+            image_scale: 1
+            img_num_frame_token_N: 0
+            img_num_global_token_N: 0
+            input_image_shape:
+                - 518
+                - 518
+            intrinsic_drop: 0.1
+            name: dcsplat
+            num_level: 3
+            num_visual_prompt: 0
+            same_head: false
+            use_extrinsic_token: false
+            use_gs_param_img_num_embed: true
+            use_intrinsic_token: false
+            use_mean_param_img_num_embed: false
+            use_pnp_solver: false
+            use_uncertainty_token: true
+optimizer:
+    value:
+        accumulate: 1
+        backbone_lr_multiplier: 0.1
+        backbone_trainable: GB+H
+        lr: 0.0002
+        warm_up_steps: 125
+render_loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: false
+        complex_threshold: 0.4
+        complex_threshold_list:
+            - 0
+            - 0.2
+            - 0.4
+            - 0.6
+            - 0.8
+        compute_scores: true
+        nvs_view_N_list:
+            - 3
+            - 6
+            - 16
+            - 32
+            - 64
+        output_path: test/full/dl3dv
+        pose_align_steps: 100
+        pred_intrinsic: true
+        rot_opt_lr: 0.005
+        save_active_mask_image: false
+        save_compare: false
+        save_complex_score_image: false
+        save_image: false
+        save_video: false
+        threshold_mode: ratio
+        trans_opt_lr: 0.005
+train:
+    value:
+        align_corners: false
+        base_complex_exp_rate: 4
+        camera_loss: 1
+        complex_random_mode: num_gs_mode3
+        complex_threshold_range:
+            - 0
+            - 3
+        direct_iteration_steps: 0
+        direct_loss_weight: 0
+        extended_visualization: false
+        intrinsic_scaling: true
+        one_sample_validation: datasets/dl3dv/room_batch.pt
+        pred_focal_cam_loss: false
+        print_log_every_n_steps: 10
+        scaling_detach: true
+        start_density_control: 0
+        train_context: true
+        train_extrinsic: true
+        train_hybrid: false
+        twice_backward: false
+        use_pred_point_focal: false
+        use_refine_aux: false
+        use_target_uncertainty: point_similarity_mult
+        use_umeyama: false
+        use_uncertainty_camera_weight: true
+        verbose: false
+trainer:
+    value:
+        gradient_clip_val: 0.5
+        max_steps: 18751
+        num_nodes: 1
+        val_check_interval: 500
+wandb:
+    value:
+        entity: scene-representation-group
+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
+            - dl3dv
+            - 224x448
+            - full
diff --git a/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/output.log b/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/output.log
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+Detected KeyboardInterrupt, attempting graceful shutdown ...
diff --git a/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/requirements.txt b/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/requirements.txt
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diff --git a/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/wandb-metadata.json b/checkpoints/wandb/run-20251026_200630-i4qx3qgk/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ed1ad6c33bc0756b454db485ed59db9acdf11dd
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@@ -0,0 +1,96 @@
+{
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+  "startedAt":  "2025-10-27T03:06:30.124373Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult"
+  ],
+  "program":  "-m src.main",
+  "git":  {
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+  },
+  "email":  "dna9041@korea.ac.kr",
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+  "gpu":  "NVIDIA B200",
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-ac684980-9e14-c20f-44ed-f204c643bf36"
+    },
+    {
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+      "uuid":  "GPU-08905a09-8ef1-dc75-6052-641ec21d1d84"
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+    },
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+      "architecture":  "Blackwell",
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+    },
+    {
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-6df3bf18-8c2f-875c-a260-ec74778fa634"
+    },
+    {
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+}
\ No newline at end of file
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new file mode 100644
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new file mode 100644
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diff --git a/checkpoints/wandb/run-20251026_200630-i4qx3qgk/run-i4qx3qgk.wandb b/checkpoints/wandb/run-20251026_200630-i4qx3qgk/run-i4qx3qgk.wandb
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diff --git a/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/output.log b/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..c5c4087112fbacfd70b84453d46d4929c930dd8c
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/output.log
@@ -0,0 +1,28 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 20:09:54,570][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=31` in the `DataLoader` to improve performance.
+
+[2025-10-26 20:09:54,573][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
diff --git a/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/requirements.txt b/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
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+certifi==2025.8.3
+aiohappyeyeballs==2.6.1
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diff --git a/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/wandb-metadata.json b/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..2748f1b1ccf7858d71dce4e512e33da574f3405c
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_200948-rmz2jnaz/files/wandb-metadata.json
@@ -0,0 +1,96 @@
+{
+  "os":  "Linux-5.15.0-157-generic-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.12",
+  "startedAt":  "2025-10-27T03:09:48.216449Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/CVPR2026.git"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U",
+  "host":  "notebook-61057517-b2e0-11f0-b992-125e6a168a5d-0",
+  "executable":  "/opt/conda/envs/dcsplat/bin/python",
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+  "cpu_count_logical":  256,
+  "gpu":  "NVIDIA B200",
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+  "disk":  {
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+    },
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+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-3a97db04-5176-ad9f-c92a-ad283a4f89fe"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-6df3bf18-8c2f-875c-a260-ec74778fa634"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-9bbf3bdf-cc9d-3455-ae15-ef4faa3bdcc1"
+    }
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+  "cudaVersion":  "13.0",
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new file mode 100644
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new file mode 100644
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new file mode 100644
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+config: {'model': {'encoder': {'name': 'dcsplat', 'input_image_shape': [518, 518], 'head_mode': 'pcd', 'same_head': False, 'num_level': 3, 'gs_param_dim': 256, 'camera_prompt': False, 'num_visual_prompt': 0, 'use_extrinsic_token': False, 'use_intrinsic_token': False, 'extrinsic_drop': 0.1, 'intrinsic_drop': 0.1, 'use_pnp_solver': False, 'align_corners': False, 'image_scale': 1.0, 'use_uncertainty_token': True, 'gs_bf16': True, 'aggregator_bf16': False, 'img_num_frame_token_N': 0, 'img_num_global_token_N': 0, 'use_gs_param_img_num_embed': True, 'use_mean_param_img_num_embed': False}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'use_gsplat': True}, 'density_control': {'name': 'density_control_module', 'mean_dim': 32, 'gs_param_dim': 256, 'refinement_layer_num': 1, 'num_level': 3, 'grad_mode': 'absgrad', 'use_mean_features': True, 'refinement_type': 'quadtree', 'refinement_hidden_dim': 32, 'aggregation_mode': 'mean', 'num_heads': 1, 'score_mode': 3, 'sigmoid_score': True, 'latent_dim': 128, 'num_latents': 64, 'num_self_attn_per_block': 2}}, 'render_loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'density_control_loss': {'complex_score': {'weight': 0.01, 'log_scale': False, 'grad_scale': 5000.0, 'mode': 1}}, 'direct_loss': {'l1': {'weight': 0.8}, 'ssim': {'weight': 0.2}}, 'wandb': {'project': 'DCSplat', 'entity': 'scene-representation-group', 'name': '1027_DL3DV_FULL_U', 'mode': 'online', 'tags': ['dl3dv', '224x448', 'full']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 4, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0002, 'warm_up_steps': 125, 'backbone_lr_multiplier': 0.1, 'backbone_trainable': 'GB+H', 'accumulate': 1}, 'checkpointing': {'load': None, 'every_n_train_steps': 9375, 'save_top_k': 1, 'save_weights_only': True}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'camera_loss': 1.0, 'one_sample_validation': 'datasets/dl3dv/room_batch.pt', 'align_corners': False, 'intrinsic_scaling': True, 'train_context': True, 'train_hybrid': False, 'use_pred_point_focal': False, 'scaling_detach': True, 'complex_threshold_range': [0.0, 3.0], 'use_umeyama': False, 'pred_focal_cam_loss': False, 'direct_loss_weight': 0.0, 'direct_iteration_steps': 0, 'twice_backward': False, 'use_uncertainty_camera_weight': True, 'use_target_uncertainty': 'point_similarity_mult', 'verbose': False, 'complex_random_mode': 'num_gs_mode3', 'start_density_control': 0.0, 'base_complex_exp_rate': 4.0, 'use_refine_aux': False, 'train_extrinsic': True}, 'test': {'output_path': 'test/full/dl3dv', 'align_pose': False, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': False, 'save_video': False, 'save_active_mask_image': False, 'save_complex_score_image': False, 'save_compare': False, 'pred_intrinsic': True, 'complex_threshold': 0.4, 'complex_threshold_list': [0.0, 0.2, 0.4, 0.6, 0.8], 'threshold_mode': 'ratio', 'nvs_view_N_list': [3, 6, 16, 32, 64]}, 'seed': 111123, 'trainer': {'max_steps': 18751, 'val_check_interval': 500, 'gradient_clip_val': 0.5, 'num_nodes': 1}, 'dataset': {'dl3dv': {'make_baseline_1': False, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded_dl3dv', 'min_target_views': 4, 'num_context_views': 16, 'warm_up_steps': 0, 'max_img_per_gpu': 16, 'min_distance_to_context_views': 0, 'initial_min_distance_between_context_views': 5, 'initial_max_distance_between_context_views': 7, 'min_distance_between_context_views': 32, 'max_distance_between_context_views': 256, 'min_gap_multiplier': 3, 'max_gap_multiplier': 5, 'initial_min_gap_multiplier': 2, 'initial_max_gap_multiplier': 3}, 'name': 'dl3dv', 'roots': ['datasets/dl3dv'], 'input_image_shape': [224, 448], 'original_image_shape': [270, 480], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 100.0, 'max_fov': 100.0, 'avg_pose': False, 'rescale_to_1cube': False, 'intr_augment': False, 'normalize_by_pts3d': False}}, '_wandb': {}}
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new file mode 100644
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diff --git a/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/config.yaml b/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7f1368ee2638c7f8705c27582cfd10709b815125
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+_wandb:
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+        e:
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+                    - wandb.name=1027_DL3DV_FULL_U
+                    - train.one_sample_validation=datasets/dl3dv/room_batch.pt
+                    - optimizer.backbone_trainable=GB+H
+                    - model.encoder.use_uncertainty_token=true
+                    - train.use_uncertainty_camera_weight=true
+                    - train.use_target_uncertainty=point_similarity_mult
+                cpu_count: 128
+                cpu_count_logical: 256
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1081101176832"
+                        used: "107023179776"
+                email: dna9041@korea.ac.kr
+                executable: /opt/conda/envs/dcsplat/bin/python
+                git:
+                    commit: f52a5478f636651cb5dc33ec47fa679a6f7338ca
+                    remote: git@github.com:K-nowing/CVPR2026.git
+                gpu: NVIDIA B200
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                root: /root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U
+                startedAt: "2025-10-27T03:16:44.700615Z"
+                writerId: j00hoityyojftbqq3904269514ks44q1
+        m:
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+        use_pred_point_focal: false
+        use_refine_aux: false
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+        mode: online
+        name: 1027_DL3DV_FULL_U
+        project: DCSplat
+        tags:
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+            - 224x448
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]
+
+  | Name                   | Type                 | Params | Mode
+------------------------------------------------------------------------
+0 | encoder                | OurSplat             | 588 M  | train
+1 | density_control_module | DensityControlModule | 2.6 M  | train
+2 | decoder                | DecoderSplattingCUDA | 0      | train
+3 | render_losses          | ModuleList           | 0      | train
+4 | density_control_losses | ModuleList           | 0      | train
+5 | direct_losses          | ModuleList           | 0      | train
+6 | pnp_solver             | KorniaPnPSolver      | 0      | train
+------------------------------------------------------------------------
+590 M     Trainable params
+0         Non-trainable params
+590 M     Total params
+2,363.290 Total estimated model params size (MB)
+782       Modules in train mode
+980       Modules in eval mode
+Sanity Checking: |                                                                            | 0/? [00:00<?, ?it/s]DL3DV: val: loaded 55 scenes
+Setting epoch for all underlying BatchedRandomSamplers
+Validation: Set Epoch in DataModule
+[2025-10-26 20:16:49,478][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=31` in the `DataLoader` to improve performance.
+
+[2025-10-26 20:16:49,481][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+
+Validation epoch start on rank 0
+Sanity Checking DataLoader 0:   0%|                                                           | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['room'];
+[2025-10-26 20:16:54,700][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+[2025-10-26 20:16:54,701][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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(
+
+[2025-10-26 20:16:54,702][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/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=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
+Loading model from: /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lpips/weights/v0.1/vgg.pth
+[2025-10-26 20:16:59,158][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
+Sanity Checking DataLoader 0: 100%|███████████████████████████████████████████████████| 1/1 [00:17<00:00,  0.06it/s][2025-10-26 20:17:07,778][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,781][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/gaussian_num_ratio', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/uncertainty_weight_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+[2025-10-26 20:17:07,782][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('info/global_step', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+
+DL3DV: train: loaded 9570 scenes                                                                                    
+Setting epoch for all underlying BatchedRandomSamplers
+Setting epoch for all underlying BatchedRandomSamplers
+[2025-10-26 20:19:16,141][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+
+Epoch 0:   0%|                                                                              | 0/966 [00:00<?, ?it/s][2025-10-26 20:19:25,207][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/autograd/graph.py:824: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
+grad.sizes() = [1, 288, 1, 1], strides() = [288, 1, 288, 288]
+bucket_view.sizes() = [1, 288, 1, 1], strides() = [288, 1, 1, 1] (Triggered internally at /pytorch/torch/csrc/distributed/c10d/reducer.cpp:328.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+Epoch 0:   1%|▌                                                         | 9/966 [00:23<41:11,  0.39it/s, v_num=s5n3]train step 10; scene = ['dl3dv_86c4e7e28a5a1d']; loss = 0.305673
+Epoch 0:   2%|█                                                        | 19/966 [00:45<37:37,  0.42it/s, v_num=s5n3]train step 20; scene = ['dl3dv_14c8dbdf0e9f47']; loss = 0.038803
+Epoch 0:   3%|█▋                                                       | 29/966 [01:05<35:13,  0.44it/s, v_num=s5n3]train step 30; scene = ['dl3dv_7162fa60174ec0']; loss = -0.085180
+Epoch 0:   4%|██▎                                                      | 39/966 [01:23<33:13,  0.46it/s, v_num=s5n3]train step 40; scene = ['dl3dv_216e0ca687293f']; loss = -0.427334
+Epoch 0:   5%|██▉                                                      | 49/966 [01:42<31:51,  0.48it/s, v_num=s5n3]train step 50; scene = ['dl3dv_875f35bd3e32b8']; loss = -0.389247
+Epoch 0:   6%|███▍                                                     | 59/966 [02:01<31:02,  0.49it/s, v_num=s5n3]train step 60; scene = ['dl3dv_174b260f47db9b']; loss = -0.708005
+Epoch 0:   7%|████                                                     | 69/966 [02:20<30:27,  0.49it/s, v_num=s5n3]train step 70; scene = ['dl3dv_48194146d22cab']; loss = -0.568315
+Epoch 0:   8%|████▋                                                    | 79/966 [02:41<30:16,  0.49it/s, v_num=s5n3]train step 80; scene = ['dl3dv_0228dedab04580']; loss = -0.647474
+Epoch 0:   9%|█████▎                                                   | 89/966 [03:01<29:47,  0.49it/s, v_num=s5n3]train step 90; scene = ['dl3dv_2b74b1815daccb']; loss = -0.552694
+Epoch 0:  10%|█████▊                                                   | 99/966 [03:20<29:12,  0.49it/s, v_num=s5n3]train step 100; scene = ['dl3dv_bce0ce538be186', 'dl3dv_999157553e69b0']; loss = -1.011234
+Epoch 0:  11%|██████▎                                                 | 109/966 [03:39<28:48,  0.50it/s, v_num=s5n3]train step 110; scene = ['dl3dv_23379de431f067', 'dl3dv_2202ca0d906961', 'dl3dv_ba0101a77a6a36']; loss = -0.835200
+Epoch 0:  12%|██████▉                                                 | 119/966 [03:59<28:22,  0.50it/s, v_num=s5n3]train step 120; scene = ['dl3dv_1077fb1b3bd153']; loss = -1.065293
+Epoch 0:  13%|███████▏                                                | 124/966 [04:08<28:08,  0.50it/s, v_num=s5n3][2025-10-26 20:23:29,369][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/optim/lr_scheduler.py:198: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+
+Epoch 0:  13%|███████▍                                                | 129/966 [04:18<27:54,  0.50it/s, v_num=s5n3]train step 130; scene = ['dl3dv_33f6bb3a985dd1', 'dl3dv_42e99c80a3966a']; loss = -0.985766
+Epoch 0:  14%|████████                                                | 139/966 [04:37<27:32,  0.50it/s, v_num=s5n3]train step 140; scene = ['dl3dv_852968282cffd5']; loss = -0.763857
+Epoch 0:  15%|████████▋                                               | 149/966 [04:58<27:17,  0.50it/s, v_num=s5n3]train step 150; scene = ['dl3dv_7d66feb2c46335', 'dl3dv_96bfcc85a3dfea']; loss = -0.811639
+Epoch 0:  16%|█████████▏                                              | 159/966 [05:17<26:52,  0.50it/s, v_num=s5n3]train step 160; scene = ['dl3dv_914fbe78b76f9b', 'dl3dv_63a001ce1b2c6b']; loss = -0.600227
+Epoch 0:  17%|█████████▊                                              | 169/966 [05:37<26:30,  0.50it/s, v_num=s5n3]train step 170; scene = ['dl3dv_728b9821981846']; loss = -1.015884
+Epoch 0:  19%|██████████▍                                             | 179/966 [05:56<26:05,  0.50it/s, v_num=s5n3]train step 180; scene = ['dl3dv_385b6ae057984a']; loss = -0.679067
+Epoch 0:  20%|██████████▉                                             | 189/966 [06:28<26:37,  0.49it/s, v_num=s5n3]train step 190; scene = ['dl3dv_92e1a13c1685be']; loss = -0.804113
+Epoch 0:  21%|███████████▌                                            | 199/966 [06:47<26:11,  0.49it/s, v_num=s5n3]train step 200; scene = ['dl3dv_ec502342bd6245', 'dl3dv_ac9e283fc15acb']; loss = -1.165175
+Epoch 0:  22%|████████████                                            | 209/966 [07:08<25:51,  0.49it/s, v_num=s5n3]train step 210; scene = ['dl3dv_f7fb372ab90c28']; loss = -1.162477
+Epoch 0:  23%|████████████▋                                           | 219/966 [07:27<25:27,  0.49it/s, v_num=s5n3]train step 220; scene = ['dl3dv_2a276d7082acd2']; loss = -1.402458
+Epoch 0:  24%|█████████████▎                                          | 229/966 [08:10<26:18,  0.47it/s, v_num=s5n3]train step 230; scene = ['dl3dv_cd056c822f35b3', 'dl3dv_cf135ca1576654', 'dl3dv_15131f022f3c6b']; loss = -1.298948
+Epoch 0:  25%|█████████████▊                                          | 239/966 [08:28<25:46,  0.47it/s, v_num=s5n3]train step 240; scene = ['dl3dv_bb80e3e4a6bfc7']; loss = -0.964104
+Epoch 0:  26%|██████████████▍                                         | 249/966 [08:48<25:20,  0.47it/s, v_num=s5n3]train step 250; scene = ['dl3dv_b377941e9669d5']; loss = -1.018579
+Epoch 0:  27%|███████████████                                         | 259/966 [09:08<24:56,  0.47it/s, v_num=s5n3]train step 260; scene = ['dl3dv_81958e4c540cc9']; loss = -1.259390
+Epoch 0:  28%|███████████████▌                                        | 269/966 [09:27<24:30,  0.47it/s, v_num=s5n3]train step 270; scene = ['dl3dv_809e36cff8eee8']; loss = -0.973915
+Epoch 0:  29%|████████████████▏                                       | 279/966 [09:46<24:03,  0.48it/s, v_num=s5n3]train step 280; scene = ['dl3dv_b7d192fa408f7a', 'dl3dv_0ef7c0d6e3f227']; loss = -0.658741
+Epoch 0:  30%|████████████████▊                                       | 289/966 [10:06<23:40,  0.48it/s, v_num=s5n3]train step 290; scene = ['dl3dv_508bc04c8f61ff']; loss = -0.953951
+Epoch 0:  31%|█████████████████▎                                      | 299/966 [10:25<23:16,  0.48it/s, v_num=s5n3]train step 300; scene = ['dl3dv_3869f1fc940eab']; loss = -1.098438
+Epoch 0:  32%|█████████████████▉                                      | 309/966 [10:45<22:52,  0.48it/s, v_num=s5n3]train step 310; scene = ['dl3dv_3c4af51254338f']; loss = -1.185714
+Epoch 0:  33%|██████████████████▍                                     | 319/966 [11:05<22:29,  0.48it/s, v_num=s5n3]train step 320; scene = ['dl3dv_43d2e27989d256', 'dl3dv_ee2db6d656e8e1']; loss = -0.775224
+Epoch 0:  34%|███████████████████                                     | 329/966 [11:25<22:06,  0.48it/s, v_num=s5n3]train step 330; scene = ['dl3dv_21a1eeac9b3836']; loss = -1.060300
+Epoch 0:  35%|███████████████████▋                                    | 339/966 [11:44<21:42,  0.48it/s, v_num=s5n3]train step 340; scene = ['dl3dv_ae83db9ff9a7e7']; loss = -1.455091
+Epoch 0:  36%|████████████████████▏                                   | 349/966 [12:02<21:17,  0.48it/s, v_num=s5n3]train step 350; scene = ['dl3dv_cb81faa0b79009']; loss = -0.510761
+Epoch 0:  37%|████████████████████▊                                   | 359/966 [12:23<20:56,  0.48it/s, v_num=s5n3]train step 360; scene = ['dl3dv_52aee8bb855877']; loss = -1.074079
+Epoch 0:  38%|█████████████████████▍                                  | 369/966 [12:43<20:35,  0.48it/s, v_num=s5n3]train step 370; scene = ['dl3dv_c791bcb958e4a2']; loss = -1.027087
+Epoch 0:  39%|█████████████████████▉                                  | 379/966 [13:03<20:12,  0.48it/s, v_num=s5n3]train step 380; scene = ['dl3dv_cce1319dc0274f']; loss = -0.825619
+Epoch 0:  40%|██████████████████████▌                                 | 389/966 [13:21<19:49,  0.49it/s, v_num=s5n3]train step 390; scene = ['dl3dv_4dcb9c19018bb9']; loss = -1.533045
+Epoch 0:  41%|███████████████████████▏                                | 399/966 [13:42<19:28,  0.49it/s, v_num=s5n3]train step 400; scene = ['dl3dv_bbf8caccc9ec64']; loss = -0.573089
+Epoch 0:  42%|███████████████████████▋                                | 409/966 [14:20<19:32,  0.48it/s, v_num=s5n3]train step 410; scene = ['dl3dv_3d32997ed3a49b']; loss = -0.442793
+Epoch 0:  43%|████████████████████████▎                               | 419/966 [14:41<19:10,  0.48it/s, v_num=s5n3]train step 420; scene = ['dl3dv_9cbf05acf56e28']; loss = -1.177840
+Epoch 0:  44%|████████████████████████▊                               | 429/966 [14:59<18:45,  0.48it/s, v_num=s5n3]train step 430; scene = ['dl3dv_f37c8435bf7ba7', 'dl3dv_41e076a697ac5d']; loss = -1.404755
+Epoch 0:  45%|█████████████████████████▍                              | 439/966 [15:18<18:22,  0.48it/s, v_num=s5n3]train step 440; scene = ['dl3dv_44c075497e847e']; loss = -0.442340
+Epoch 0:  46%|██████████████████████████                              | 449/966 [15:39<18:01,  0.48it/s, v_num=s5n3]train step 450; scene = ['dl3dv_d8213196c62ec3']; loss = -0.967355
+Epoch 0:  48%|██████████████████████████▌                             | 459/966 [15:57<17:38,  0.48it/s, v_num=s5n3]train step 460; scene = ['dl3dv_a3ae6e75560374']; loss = -1.215662
+Epoch 0:  49%|███████████████████████████▏                            | 469/966 [16:18<17:17,  0.48it/s, v_num=s5n3]train step 470; scene = ['dl3dv_10e02162044f3c']; loss = -1.320182
+Epoch 0:  50%|███████████████████████████▊                            | 479/966 [16:38<16:55,  0.48it/s, v_num=s5n3]train step 480; scene = ['dl3dv_d2c9664ca43a83']; loss = -0.882403
+Epoch 0:  51%|████████████████████████████▎                           | 489/966 [16:58<16:33,  0.48it/s, v_num=s5n3]train step 490; scene = ['dl3dv_f972944aa59897']; loss = -1.386872
+Epoch 0:  52%|████████████████████████████▉                           | 499/966 [17:17<16:10,  0.48it/s, v_num=s5n3]train step 500; scene = ['dl3dv_a1684a04b999e3']; loss = -0.810394
+Epoch 0:  52%|████████████████████████████▉                           | 500/966 [17:19<16:08,  0.48it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 500; scene = ['room'];
+Epoch 0:  53%|█████████████████████████████▌                          | 509/966 [17:49<16:00,  0.48it/s, v_num=s5n3]train step 510; scene = ['dl3dv_01cd1a4633b366', 'dl3dv_7eefb847b79ff6', 'dl3dv_b6cd870afeab2b']; loss = -1.363260
+Epoch 0:  54%|██████████████████████████████                          | 519/966 [18:22<15:49,  0.47it/s, v_num=s5n3]train step 520; scene = ['dl3dv_471c123348f143']; loss = -0.979786
+Epoch 0:  55%|██████████████████████████████▋                         | 529/966 [18:42<15:27,  0.47it/s, v_num=s5n3]train step 530; scene = ['dl3dv_440a6de367e087']; loss = -0.869657
+Epoch 0:  56%|███████████████████████████████▏                        | 539/966 [19:01<15:04,  0.47it/s, v_num=s5n3]train step 540; scene = ['dl3dv_20c8ff62be228e']; loss = -1.462367
+Epoch 0:  57%|███████████████████████████████▊                        | 549/966 [19:20<14:41,  0.47it/s, v_num=s5n3]train step 550; scene = ['dl3dv_d2179df3f81d06']; loss = -1.283673
+Epoch 0:  58%|████████████████████████████████▍                       | 559/966 [19:51<14:27,  0.47it/s, v_num=s5n3]train step 560; scene = ['dl3dv_91f0dd64942e45', 'dl3dv_48428b2ec9285b']; loss = -1.180143
+Epoch 0:  59%|████████████████████████████████▉                       | 569/966 [20:11<14:05,  0.47it/s, v_num=s5n3]train step 570; scene = ['dl3dv_64be6e4613a04e']; loss = -0.738731
+Epoch 0:  60%|█████████████████████████████████▌                      | 579/966 [20:30<13:42,  0.47it/s, v_num=s5n3]train step 580; scene = ['dl3dv_b893b8a2f68a84']; loss = -0.965627
+Epoch 0:  61%|██████████████████████████████████▏                     | 589/966 [20:50<13:20,  0.47it/s, v_num=s5n3]train step 590; scene = ['dl3dv_43d60bef384dfe']; loss = -1.632174
+Epoch 0:  62%|██████████████████████████████████▋                     | 599/966 [21:07<12:56,  0.47it/s, v_num=s5n3]train step 600; scene = ['dl3dv_8069d6f7f579f5']; loss = -0.765322
+Epoch 0:  63%|███████████████████████████████████▎                    | 609/966 [21:39<12:41,  0.47it/s, v_num=s5n3]train step 610; scene = ['dl3dv_eb2207e8c8e387']; loss = -1.837972
+Epoch 0:  64%|███████████████████████████████████▉                    | 619/966 [21:59<12:19,  0.47it/s, v_num=s5n3]train step 620; scene = ['dl3dv_18b45600620557']; loss = -1.745777
+Epoch 0:  65%|████████████████████████████████████▍                   | 629/966 [22:19<11:57,  0.47it/s, v_num=s5n3]train step 630; scene = ['dl3dv_9750426ffa035a']; loss = -0.700097
+Epoch 0:  66%|█████████████████████████████████████                   | 639/966 [22:36<11:34,  0.47it/s, v_num=s5n3]train step 640; scene = ['dl3dv_9c1be42eb11f7f', 'dl3dv_43e2a651604adc']; loss = -1.656183
+Epoch 0:  67%|█████████████████████████████████████▌                  | 649/966 [22:57<11:12,  0.47it/s, v_num=s5n3]train step 650; scene = ['dl3dv_5350084a20092e']; loss = -1.515835
+Epoch 0:  68%|██████████████████████████████████████▏                 | 659/966 [23:28<10:56,  0.47it/s, v_num=s5n3]train step 660; scene = ['dl3dv_90559ac567a6a6']; loss = -0.941713
+Epoch 0:  69%|██████████████████████████████████████▊                 | 669/966 [23:49<10:34,  0.47it/s, v_num=s5n3]train step 670; scene = ['dl3dv_acbbb3864413cc']; loss = -1.180679
+Epoch 0:  70%|███████████████████████████████████████▎                | 679/966 [24:09<10:12,  0.47it/s, v_num=s5n3]train step 680; scene = ['dl3dv_0ccb6d00f7c2cb']; loss = -1.310013
+Epoch 0:  71%|███████████████████████████████████████▉                | 689/966 [24:29<09:50,  0.47it/s, v_num=s5n3]train step 690; scene = ['dl3dv_848746a0346334']; loss = -1.410759
+Epoch 0:  72%|████████████████████████████████████████▌               | 699/966 [24:50<09:29,  0.47it/s, v_num=s5n3]train step 700; scene = ['dl3dv_f958df79757aa3']; loss = -0.942022
+Epoch 0:  73%|█████████████████████████████████████████               | 709/966 [25:09<09:07,  0.47it/s, v_num=s5n3]train step 710; scene = ['dl3dv_28597f24a2e1ef']; loss = -1.234699
+Epoch 0:  74%|█████████████████████████████████████████▋              | 719/966 [25:28<08:45,  0.47it/s, v_num=s5n3]train step 720; scene = ['dl3dv_352d1195947bd7']; loss = -1.113978
+Epoch 0:  75%|██████████████████████████████████████████▎             | 729/966 [25:49<08:23,  0.47it/s, v_num=s5n3]train step 730; scene = ['dl3dv_eeaac112dcd079']; loss = -1.182867
+Epoch 0:  77%|██████████████████████████████████████████▊             | 739/966 [26:08<08:01,  0.47it/s, v_num=s5n3]train step 740; scene = ['dl3dv_f4330e0503fd04']; loss = -1.097510
+Epoch 0:  78%|███████████████████████████████████████████▍            | 749/966 [26:27<07:39,  0.47it/s, v_num=s5n3]train step 750; scene = ['dl3dv_15cb7c564a8f36']; loss = -1.125007
+Epoch 0:  79%|████████████████████████████████████████████            | 759/966 [26:47<07:18,  0.47it/s, v_num=s5n3]train step 760; scene = ['dl3dv_8a4066778025dd']; loss = -0.822112
+Epoch 0:  80%|████████████████████████████████████████████▌           | 769/966 [27:07<06:57,  0.47it/s, v_num=s5n3]train step 770; scene = ['dl3dv_6aa6fee60f642f']; loss = -1.192720
+Epoch 0:  81%|█████████████████████████████████████████████▏          | 779/966 [27:37<06:37,  0.47it/s, v_num=s5n3]train step 780; scene = ['dl3dv_92799c2779f964']; loss = -1.410947
+Epoch 0:  82%|█████████████████████████████████████████████▋          | 789/966 [27:56<06:16,  0.47it/s, v_num=s5n3]train step 790; scene = ['dl3dv_868c23d6e10051']; loss = -1.400645
+Epoch 0:  83%|██████████████████████████████████████████████▎         | 799/966 [28:17<05:54,  0.47it/s, v_num=s5n3]train step 800; scene = ['dl3dv_b3e30fb2408c7d']; loss = -1.668304
+Epoch 0:  84%|██████████████████████████████████████████████▉         | 809/966 [28:56<05:36,  0.47it/s, v_num=s5n3]train step 810; scene = ['dl3dv_77d23dff562bc7']; loss = -1.544108
+Epoch 0:  85%|███████████████████████████████████████████████▍        | 819/966 [29:16<05:15,  0.47it/s, v_num=s5n3]train step 820; scene = ['dl3dv_9f2646f0805313']; loss = -1.373664
+Epoch 0:  86%|████████████████████████████████████████████████        | 829/966 [29:36<04:53,  0.47it/s, v_num=s5n3]train step 830; scene = ['dl3dv_dbaa386e89750d']; loss = -1.359511
+Epoch 0:  87%|████████████████████████████████████████████████▋       | 839/966 [29:55<04:31,  0.47it/s, v_num=s5n3]train step 840; scene = ['dl3dv_5b6c2748feacd5']; loss = -1.205631
+Epoch 0:  88%|█████████████████████████████████████████████████▏      | 849/966 [30:16<04:10,  0.47it/s, v_num=s5n3]train step 850; scene = ['dl3dv_6b169347aec68f']; loss = -1.005744
+Epoch 0:  89%|█████████████████████████████████████████████████▊      | 859/966 [30:35<03:48,  0.47it/s, v_num=s5n3]train step 860; scene = ['dl3dv_b42a38518b5c99']; loss = -0.897197
+Epoch 0:  90%|██████████████████████████████████████████████████▍     | 869/966 [30:55<03:27,  0.47it/s, v_num=s5n3]train step 870; scene = ['dl3dv_b6971e10a8bdf5']; loss = -1.508102
+Epoch 0:  91%|██████████████████████████████████████████████████▉     | 879/966 [31:15<03:05,  0.47it/s, v_num=s5n3]train step 880; scene = ['dl3dv_8c5e5c7e6b548f']; loss = -1.461231
+Epoch 0:  92%|███████████████████████████████████████████████████▌    | 889/966 [31:37<02:44,  0.47it/s, v_num=s5n3]train step 890; scene = ['dl3dv_eeaa5252b4ac23', 'dl3dv_f605c896f063b3']; loss = -1.328729
+Epoch 0:  93%|████████████████████████████████████████████████████    | 899/966 [31:55<02:22,  0.47it/s, v_num=s5n3]train step 900; scene = ['dl3dv_5b8694d5936d95']; loss = -1.114445
+Epoch 0:  94%|████████████████████████████████████████████████████▋   | 909/966 [32:15<02:01,  0.47it/s, v_num=s5n3]train step 910; scene = ['dl3dv_4c86ebbdeed00f']; loss = -1.066978
+Epoch 0:  95%|█████████████████████████████████████████████████████▎  | 919/966 [32:35<01:40,  0.47it/s, v_num=s5n3]train step 920; scene = ['dl3dv_b1200c19fe2e92']; loss = -0.873290
+Epoch 0:  96%|█████████████████████████████████████████████████████▊  | 929/966 [32:55<01:18,  0.47it/s, v_num=s5n3]train step 930; scene = ['dl3dv_7eaadf58cb1230']; loss = -1.061446
+Epoch 0:  97%|██████████████████████████████████████████████████████▍ | 939/966 [33:14<00:57,  0.47it/s, v_num=s5n3]train step 940; scene = ['dl3dv_e4be3cc208a28a']; loss = -1.199760
+Epoch 0:  98%|███████████████████████████████████████████████████████ | 949/966 [33:33<00:36,  0.47it/s, v_num=s5n3]train step 950; scene = ['dl3dv_cab5d801033934']; loss = -1.421767
+Epoch 0:  99%|███████████████████████████████████████████████████████▌| 959/966 [33:53<00:14,  0.47it/s, v_num=s5n3]train step 960; scene = ['dl3dv_0b77817725d48e']; loss = -1.736470
+Epoch 1:   0%|▏                                                         | 3/966 [00:06<32:43,  0.49it/s, v_num=s5n3]train step 970; scene = ['dl3dv_6846f1d0f47448']; loss = -1.472452
+Epoch 1:   1%|▊                                                        | 13/966 [00:25<30:56,  0.51it/s, v_num=s5n3]train step 980; scene = ['dl3dv_46a18cc6900068']; loss = -0.938552
+Epoch 1:   2%|█▎                                                       | 23/966 [00:45<31:18,  0.50it/s, v_num=s5n3]train step 990; scene = ['dl3dv_67914e82406239']; loss = -0.821297
+Epoch 1:   3%|█▉                                                       | 33/966 [01:06<31:22,  0.50it/s, v_num=s5n3]train step 1000; scene = ['dl3dv_607a1d646a8c13']; loss = -0.556841
+Epoch 1:   4%|██                                                       | 34/966 [01:14<33:49,  0.46it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 1000; scene = ['room'];
+Epoch 1:   4%|██▌                                                      | 43/966 [01:44<37:15,  0.41it/s, v_num=s5n3]train step 1010; scene = ['dl3dv_1cdcc6332412cf']; loss = -0.832353
+Epoch 1:   5%|███▏                                                     | 53/966 [02:03<35:22,  0.43it/s, v_num=s5n3]train step 1020; scene = ['dl3dv_fdb508e5737c08']; loss = -1.189876
+Epoch 1:   7%|███▋                                                     | 63/966 [02:23<34:16,  0.44it/s, v_num=s5n3]train step 1030; scene = ['dl3dv_bb733d222435fb']; loss = -0.189725
+Epoch 1:   8%|████▎                                                    | 73/966 [02:42<33:09,  0.45it/s, v_num=s5n3]train step 1040; scene = ['dl3dv_997b55d79f11b7']; loss = -0.801142
+Epoch 1:   9%|████▉                                                    | 83/966 [03:01<32:11,  0.46it/s, v_num=s5n3]train step 1050; scene = ['dl3dv_cd9b0a44802c95']; loss = -1.121507
+Epoch 1:  10%|█████▍                                                   | 93/966 [03:21<31:35,  0.46it/s, v_num=s5n3]train step 1060; scene = ['dl3dv_da20abcff8d8d0']; loss = -1.876202
+Epoch 1:  11%|█████▉                                                  | 103/966 [03:41<31:00,  0.46it/s, v_num=s5n3]train step 1070; scene = ['dl3dv_bf6f05dc346825']; loss = -0.979852
+Epoch 1:  12%|██████▌                                                 | 113/966 [04:01<30:22,  0.47it/s, v_num=s5n3]train step 1080; scene = ['dl3dv_b82f6631471488']; loss = -1.605783
+Epoch 1:  13%|███████▏                                                | 123/966 [04:20<29:46,  0.47it/s, v_num=s5n3]train step 1090; scene = ['dl3dv_da8f0e9f0addb0']; loss = -1.085204
+Epoch 1:  14%|███████▋                                                | 133/966 [04:41<29:23,  0.47it/s, v_num=s5n3]train step 1100; scene = ['dl3dv_340c0fffda49d0']; loss = -1.358588
+Epoch 1:  15%|████████▎                                               | 143/966 [05:11<29:51,  0.46it/s, v_num=s5n3]train step 1110; scene = ['dl3dv_a5697dd71a3edd', 'dl3dv_da045a510d1474']; loss = -1.325710
+Epoch 1:  16%|████████▊                                               | 153/966 [05:30<29:14,  0.46it/s, v_num=s5n3]train step 1120; scene = ['dl3dv_f7f45707a3cb68']; loss = -0.707436
+Epoch 1:  17%|█████████▍                                              | 163/966 [05:50<28:45,  0.47it/s, v_num=s5n3]train step 1130; scene = ['dl3dv_7b041463069a1c']; loss = -1.153347
+Epoch 1:  18%|██████████                                              | 173/966 [06:10<28:17,  0.47it/s, v_num=s5n3]train step 1140; scene = ['dl3dv_a82da99d2e81b8']; loss = -0.929969
+Epoch 1:  19%|██████████▌                                             | 183/966 [06:45<28:55,  0.45it/s, v_num=s5n3]train step 1150; scene = ['dl3dv_cfb6aac9f1d92a', 'dl3dv_3c4f871c1908b0']; loss = -1.392481
+Epoch 1:  20%|███████████▏                                            | 193/966 [07:05<28:24,  0.45it/s, v_num=s5n3]train step 1160; scene = ['dl3dv_05ef6245091fe0']; loss = -1.210497
+Epoch 1:  21%|███████████▊                                            | 203/966 [07:26<27:57,  0.45it/s, v_num=s5n3]train step 1170; scene = ['dl3dv_d777a575c7165b']; loss = -1.460453
+Epoch 1:  22%|████████████▎                                           | 213/966 [07:45<27:25,  0.46it/s, v_num=s5n3]train step 1180; scene = ['dl3dv_fe4b843e9da982']; loss = -1.077440
+Epoch 1:  23%|████████████▉                                           | 223/966 [08:04<26:54,  0.46it/s, v_num=s5n3]train step 1190; scene = ['dl3dv_ea11001582238e']; loss = -1.156539
+Epoch 1:  24%|█████████████▌                                          | 233/966 [08:23<26:25,  0.46it/s, v_num=s5n3]train step 1200; scene = ['dl3dv_161ac458f5fc33']; loss = -1.328688
+Epoch 1:  25%|██████████████                                          | 243/966 [08:51<26:19,  0.46it/s, v_num=s5n3]train step 1210; scene = ['dl3dv_e5a2e1ec9d4f80']; loss = -0.619898
+Epoch 1:  26%|██████████████▋                                         | 253/966 [09:11<25:54,  0.46it/s, v_num=s5n3]train step 1220; scene = ['dl3dv_10c3b0812712dc', 'dl3dv_8a178b70c0d1a8']; loss = -1.079684
+Epoch 1:  27%|███████████████▏                                        | 263/966 [09:32<25:30,  0.46it/s, v_num=s5n3]train step 1230; scene = ['dl3dv_f427c1dc0ec26c']; loss = -1.224139
+Epoch 1:  28%|███████████████▊                                        | 273/966 [09:53<25:07,  0.46it/s, v_num=s5n3]train step 1240; scene = ['dl3dv_a6b518864bf49b']; loss = -1.578621
+Epoch 1:  29%|████████████████▍                                       | 283/966 [10:12<24:37,  0.46it/s, v_num=s5n3]train step 1250; scene = ['dl3dv_91b23daeb4cd9d']; loss = -0.892813
+Epoch 1:  30%|████████████████▉                                       | 293/966 [10:32<24:13,  0.46it/s, v_num=s5n3]train step 1260; scene = ['dl3dv_adc5cd8396b2fc']; loss = -1.416280
+Epoch 1:  31%|█████████████████▌                                      | 303/966 [10:52<23:47,  0.46it/s, v_num=s5n3]train step 1270; scene = ['dl3dv_a621748d87a0d9']; loss = -1.404297
+Epoch 1:  32%|██████████████████▏                                     | 313/966 [11:12<23:22,  0.47it/s, v_num=s5n3]train step 1280; scene = ['dl3dv_89c63abb732c34']; loss = -0.956536
+Epoch 1:  33%|██████████████████▋                                     | 323/966 [11:33<22:59,  0.47it/s, v_num=s5n3]train step 1290; scene = ['dl3dv_1be473ec43a134']; loss = -1.590864
+Epoch 1:  34%|███████████████████▎                                    | 333/966 [11:50<22:29,  0.47it/s, v_num=s5n3]train step 1300; scene = ['dl3dv_6c1be6d5a4ef89']; loss = -1.317972
+Epoch 1:  36%|███████████████████▉                                    | 343/966 [12:09<22:04,  0.47it/s, v_num=s5n3]train step 1310; scene = ['dl3dv_69bc642376e423']; loss = -1.414659
+Epoch 1:  37%|████████████████████▍                                   | 353/966 [12:29<21:41,  0.47it/s, v_num=s5n3]train step 1320; scene = ['dl3dv_1dd1ac406875fd']; loss = -1.025387
+Epoch 1:  38%|█████████████████████                                   | 363/966 [13:00<21:36,  0.47it/s, v_num=s5n3]train step 1330; scene = ['dl3dv_8be51e445ffbdd']; loss = -1.778297
+Epoch 1:  39%|█████████████████████▌                                  | 373/966 [13:19<21:10,  0.47it/s, v_num=s5n3]train step 1340; scene = ['dl3dv_f63f268bdd8390']; loss = -0.467175
+Epoch 1:  40%|██████████████████████▏                                 | 383/966 [13:39<20:46,  0.47it/s, v_num=s5n3]train step 1350; scene = ['dl3dv_db498e6b687f98']; loss = -1.053032
+Epoch 1:  41%|██████████████████████▊                                 | 393/966 [13:58<20:22,  0.47it/s, v_num=s5n3]train step 1360; scene = ['dl3dv_35fc245281d187']; loss = -1.515787
+Epoch 1:  42%|███████████████████████▎                                | 403/966 [14:18<19:58,  0.47it/s, v_num=s5n3]train step 1370; scene = ['dl3dv_c814fcd6d986ce']; loss = -0.995057
+Epoch 1:  43%|███████████████████████▉                                | 413/966 [14:36<19:33,  0.47it/s, v_num=s5n3]train step 1380; scene = ['dl3dv_4f99b0e330974b']; loss = -1.538315
+Epoch 1:  44%|████████████████████████▌                               | 423/966 [14:56<19:10,  0.47it/s, v_num=s5n3]train step 1390; scene = ['dl3dv_43101039ceceb9']; loss = -1.148974
+Epoch 1:  45%|█████████████████████████                               | 433/966 [15:16<18:47,  0.47it/s, v_num=s5n3]train step 1400; scene = ['dl3dv_e69373c976f128']; loss = -1.328761
+Epoch 1:  46%|█████████████████████████▋                              | 443/966 [15:44<18:35,  0.47it/s, v_num=s5n3]train step 1410; scene = ['dl3dv_92ac0655590ac1']; loss = -0.838391
+Epoch 1:  47%|██████████████████████████▎                             | 453/966 [16:03<18:11,  0.47it/s, v_num=s5n3]train step 1420; scene = ['dl3dv_31cc2e0ce90478']; loss = -1.552811
+Epoch 1:  48%|██████████████████████████▊                             | 463/966 [16:23<17:48,  0.47it/s, v_num=s5n3]train step 1430; scene = ['dl3dv_ba28fc66fd2683', 'dl3dv_8e5234e2fe5bbd']; loss = -1.972397
+Epoch 1:  49%|███████████████████████████▍                            | 473/966 [16:53<17:36,  0.47it/s, v_num=s5n3]train step 1440; scene = ['dl3dv_3db7e5d3d7337f']; loss = -0.936848
+Epoch 1:  50%|████████████████████████████                            | 483/966 [17:13<17:13,  0.47it/s, v_num=s5n3]train step 1450; scene = ['dl3dv_171069b48122d3']; loss = -1.260842
+Epoch 1:  51%|████████████████████████████▌                           | 493/966 [17:34<16:51,  0.47it/s, v_num=s5n3]train step 1460; scene = ['dl3dv_4ffac73a6713dd']; loss = -1.468251
+Epoch 1:  52%|█████████████████████████████▏                          | 503/966 [17:52<16:27,  0.47it/s, v_num=s5n3]train step 1470; scene = ['dl3dv_662d6c5e4672fc']; loss = -1.110545
+Epoch 1:  53%|█████████████████████████████▋                          | 513/966 [18:22<16:13,  0.47it/s, v_num=s5n3]train step 1480; scene = ['dl3dv_cd39b354eec8ce']; loss = 0.041959
+Epoch 1:  54%|██████████████████████████████▎                         | 523/966 [18:43<15:51,  0.47it/s, v_num=s5n3]train step 1490; scene = ['dl3dv_9af81ca0a82832']; loss = -1.238299
+Epoch 1:  55%|██████████████████████████████▉                         | 533/966 [19:02<15:28,  0.47it/s, v_num=s5n3]train step 1500; scene = ['dl3dv_4b6534b9b9d1d5']; loss = -1.177301
+Epoch 1:  55%|██████████████████████████████▉                         | 534/966 [19:04<15:25,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 1500; scene = ['room'];
+Epoch 1:  56%|███████████████████████████████▍                        | 543/966 [19:35<15:15,  0.46it/s, v_num=s5n3]train step 1510; scene = ['dl3dv_3c7a3f7df3f0e2']; loss = -1.509655
+Epoch 1:  57%|████████████████████████████████                        | 553/966 [19:56<14:53,  0.46it/s, v_num=s5n3]train step 1520; scene = ['dl3dv_ef7eab985707fd']; loss = -1.400531
+Epoch 1:  58%|████████████████████████████████▋                       | 563/966 [20:16<14:31,  0.46it/s, v_num=s5n3]train step 1530; scene = ['dl3dv_59d0821c6a2631']; loss = -0.336364
+Epoch 1:  59%|█████████████████████████████████▏                      | 573/966 [20:35<14:07,  0.46it/s, v_num=s5n3]train step 1540; scene = ['dl3dv_28ab4b17e2eeea']; loss = -1.536441
+Epoch 1:  60%|█████████████████████████████████▊                      | 583/966 [20:56<13:45,  0.46it/s, v_num=s5n3]train step 1550; scene = ['dl3dv_7990c58b659481']; loss = -1.734132
+Epoch 1:  61%|██████████████████████████████████▍                     | 593/966 [21:16<13:22,  0.46it/s, v_num=s5n3]train step 1560; scene = ['dl3dv_8c5abb93a29eca']; loss = -0.769552
+Epoch 1:  62%|██████████████████████████████████▉                     | 603/966 [21:34<12:59,  0.47it/s, v_num=s5n3]train step 1570; scene = ['dl3dv_23cdcd0cd5b44a']; loss = -1.563836
+Epoch 1:  63%|███████████████████████████████████▌                    | 613/966 [22:03<12:41,  0.46it/s, v_num=s5n3]train step 1580; scene = ['dl3dv_352d1195947bd7']; loss = -0.526427
+Epoch 1:  64%|████████████████████████████████████                    | 623/966 [22:22<12:19,  0.46it/s, v_num=s5n3]train step 1590; scene = ['dl3dv_228794767f84d9']; loss = -1.118934
+Epoch 1:  66%|████████████████████████████████████▋                   | 633/966 [22:41<11:56,  0.46it/s, v_num=s5n3]train step 1600; scene = ['dl3dv_8703c6521db2e7']; loss = -1.173201
+Epoch 1:  67%|█████████████████████████████████████▎                  | 643/966 [23:05<11:36,  0.46it/s, v_num=s5n3]train step 1610; scene = ['dl3dv_dd634bbd04d47c']; loss = -1.434022
+Epoch 1:  68%|█████████████████████████████████████▊                  | 653/966 [23:24<11:13,  0.46it/s, v_num=s5n3]train step 1620; scene = ['dl3dv_51afa423ccbc89']; loss = -0.817069
+Epoch 1:  69%|██████████████████████████████████████▍                 | 663/966 [23:44<10:50,  0.47it/s, v_num=s5n3]train step 1630; scene = ['dl3dv_0be3c2e40a4cc1']; loss = -1.302594
+Epoch 1:  70%|███████████████████████████████████████                 | 673/966 [24:03<10:28,  0.47it/s, v_num=s5n3]train step 1640; scene = ['dl3dv_6e7d44fee67597']; loss = -1.022829
+Epoch 1:  71%|███████████████████████████████████████▌                | 683/966 [24:21<10:05,  0.47it/s, v_num=s5n3]train step 1650; scene = ['dl3dv_dbd7a081c014cd']; loss = -1.597664
+Epoch 1:  72%|████████████████████████████████████████▏               | 693/966 [24:40<09:43,  0.47it/s, v_num=s5n3]train step 1660; scene = ['dl3dv_d7aa525b9292bd']; loss = -1.341434
+Epoch 1:  73%|████████████████████████████████████████▊               | 703/966 [25:01<09:21,  0.47it/s, v_num=s5n3]train step 1670; scene = ['dl3dv_ae14f9c36912c3']; loss = -0.986674
+Epoch 1:  74%|█████████████████████████████████████████▎              | 713/966 [25:20<08:59,  0.47it/s, v_num=s5n3]train step 1680; scene = ['dl3dv_2f50e2703301cc']; loss = -0.971957
+Epoch 1:  75%|█████████████████████████████████████████▉              | 723/966 [25:40<08:37,  0.47it/s, v_num=s5n3]train step 1690; scene = ['dl3dv_dd118938ed9edd']; loss = -1.897698
+Epoch 1:  76%|██████████████████████████████████████████▍             | 733/966 [26:10<08:19,  0.47it/s, v_num=s5n3]train step 1700; scene = ['dl3dv_77ccf09fab9bda']; loss = -0.770376
+Epoch 1:  77%|███████████████████████████████████████████             | 743/966 [26:30<07:57,  0.47it/s, v_num=s5n3]train step 1710; scene = ['dl3dv_8faaf2156c80bd']; loss = -1.116037
+Epoch 1:  78%|███████████████████████████████████████████▋            | 753/966 [26:49<07:35,  0.47it/s, v_num=s5n3]train step 1720; scene = ['dl3dv_e89891b793456c']; loss = -0.746409
+Epoch 1:  79%|████████████████████████████████████████████▏           | 763/966 [27:18<07:15,  0.47it/s, v_num=s5n3]train step 1730; scene = ['dl3dv_8c01f64079722c']; loss = -1.339051
+Epoch 1:  80%|████████████████████████████████████████████▊           | 773/966 [27:36<06:53,  0.47it/s, v_num=s5n3]train step 1740; scene = ['dl3dv_079fa662f29b06', 'dl3dv_bc292846ddda18']; loss = -1.340402
+Epoch 1:  81%|█████████████████████████████████████████████▍          | 783/966 [27:56<06:31,  0.47it/s, v_num=s5n3]train step 1750; scene = ['dl3dv_18691ec0a083de']; loss = -1.688776
+Epoch 1:  82%|█████████████████████████████████████████████▉          | 793/966 [28:14<06:09,  0.47it/s, v_num=s5n3]train step 1760; scene = ['dl3dv_2901d9d7d5e201']; loss = -1.028643
+Epoch 1:  83%|██████████████████████████████████████████████▌         | 803/966 [28:34<05:48,  0.47it/s, v_num=s5n3]train step 1770; scene = ['dl3dv_463cad3b69fd3a']; loss = -1.501270
+Epoch 1:  84%|███████████████████████████████████████████████▏        | 813/966 [28:55<05:26,  0.47it/s, v_num=s5n3]train step 1780; scene = ['dl3dv_efd74a79919d75']; loss = -1.193781
+Epoch 1:  85%|███████████████████████████████████████████████▋        | 823/966 [29:15<05:04,  0.47it/s, v_num=s5n3]train step 1790; scene = ['dl3dv_a00442a9ff1856']; loss = -1.764644
+Epoch 1:  86%|████████████████████████████████████████████████▎       | 833/966 [29:34<04:43,  0.47it/s, v_num=s5n3]train step 1800; scene = ['dl3dv_6d450efc1fc03e']; loss = -1.382798
+Epoch 1:  87%|████████████████████████████████████████████████▊       | 843/966 [30:05<04:23,  0.47it/s, v_num=s5n3]train step 1810; scene = ['dl3dv_1da62966545b68']; loss = -1.066741
+Epoch 1:  88%|█████████████████████████████████████████████████▍      | 853/966 [30:25<04:01,  0.47it/s, v_num=s5n3]train step 1820; scene = ['dl3dv_a0bf94ec5da892']; loss = -1.400778
+Epoch 1:  89%|██████████████████████████████████████████████████      | 863/966 [30:44<03:40,  0.47it/s, v_num=s5n3]train step 1830; scene = ['dl3dv_58c4b0fd1cb8a5']; loss = -0.626985
+Epoch 1:  90%|██████████████████████████████████████████████████▌     | 873/966 [31:05<03:18,  0.47it/s, v_num=s5n3]train step 1840; scene = ['dl3dv_638f8f1d0cbc51']; loss = -0.825614
+Epoch 1:  91%|███████████████████████████████████████████████████▏    | 883/966 [31:26<02:57,  0.47it/s, v_num=s5n3]train step 1850; scene = ['dl3dv_806e2bc4453d95']; loss = -1.749148
+Epoch 1:  92%|███████████████████████████████████████████████████▊    | 893/966 [31:46<02:35,  0.47it/s, v_num=s5n3]train step 1860; scene = ['dl3dv_f5caaa262f1db0', 'dl3dv_d0de9fd1ba64a6']; loss = -1.814463
+Epoch 1:  93%|████████████████████████████████████████████████████▎   | 903/966 [32:06<02:14,  0.47it/s, v_num=s5n3]train step 1870; scene = ['dl3dv_aa910a99227fed']; loss = -1.551209
+Epoch 1:  95%|████████████████████████████████████████████████████▉   | 913/966 [32:25<01:52,  0.47it/s, v_num=s5n3]train step 1880; scene = ['dl3dv_e16aa33331a98b']; loss = -1.280786
+Epoch 1:  96%|█████████████████████████████████████████████████████▌  | 923/966 [32:44<01:31,  0.47it/s, v_num=s5n3]train step 1890; scene = ['dl3dv_ec502342bd6245']; loss = -1.630744
+Epoch 1:  97%|██████████████████████████████████████████████████████  | 933/966 [33:05<01:10,  0.47it/s, v_num=s5n3]train step 1900; scene = ['dl3dv_e257f8599a1946']; loss = -0.625261
+Epoch 1:  98%|██████████████████████████████████████████████████████▋ | 943/966 [33:24<00:48,  0.47it/s, v_num=s5n3]train step 1910; scene = ['dl3dv_774be92c2c935d']; loss = -1.284658
+Epoch 1:  99%|███████████████████████████████████████████████████████▏| 953/966 [33:42<00:27,  0.47it/s, v_num=s5n3]train step 1920; scene = ['dl3dv_8fef15905260d2']; loss = -1.468080
+Epoch 1: 100%|███████████████████████████████████████████████████████▊| 963/966 [34:01<00:06,  0.47it/s, v_num=s5n3]train step 1930; scene = ['dl3dv_88ac21f6b73070']; loss = -0.708006
+Epoch 2:   1%|▍                                                         | 7/966 [00:12<29:23,  0.54it/s, v_num=s5n3]train step 1940; scene = ['dl3dv_be69b01835d858']; loss = -1.019762
+Epoch 2:   2%|█                                                        | 17/966 [00:31<29:24,  0.54it/s, v_num=s5n3]train step 1950; scene = ['dl3dv_cf1bb2b0419219']; loss = -1.182763
+Epoch 2:   3%|█▌                                                       | 27/966 [00:51<29:49,  0.52it/s, v_num=s5n3]train step 1960; scene = ['dl3dv_565b10714efbf0']; loss = -0.587001
+Epoch 2:   4%|██▏                                                      | 37/966 [01:09<29:11,  0.53it/s, v_num=s5n3]train step 1970; scene = ['dl3dv_eac9cb27229f1e']; loss = -1.517287
+Epoch 2:   5%|██▊                                                      | 47/966 [01:29<29:08,  0.53it/s, v_num=s5n3]train step 1980; scene = ['dl3dv_ed5de1fd419d6b']; loss = -1.522072
+Epoch 2:   6%|███▎                                                     | 57/966 [01:48<28:54,  0.52it/s, v_num=s5n3]train step 1990; scene = ['dl3dv_006771db3c0572']; loss = -1.370871
+Epoch 2:   7%|███▉                                                     | 67/966 [02:08<28:50,  0.52it/s, v_num=s5n3]train step 2000; scene = ['dl3dv_d0b1288356b74c']; loss = -1.264428
+Epoch 2:   7%|████                                                     | 68/966 [02:21<31:13,  0.48it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 2000; scene = ['room'];
+Epoch 2:   8%|████▌                                                    | 77/966 [02:54<33:29,  0.44it/s, v_num=s5n3]train step 2010; scene = ['dl3dv_355fda97632e8c']; loss = -1.326888
+Epoch 2:   9%|█████▏                                                   | 87/966 [03:24<34:22,  0.43it/s, v_num=s5n3]train step 2020; scene = ['dl3dv_e6117af5999206']; loss = -1.077608
+Epoch 2:  10%|█████▋                                                   | 97/966 [03:44<33:34,  0.43it/s, v_num=s5n3]train step 2030; scene = ['dl3dv_8dc471c6dfe04d']; loss = -0.737347
+Epoch 2:  11%|██████▏                                                 | 107/966 [04:05<32:47,  0.44it/s, v_num=s5n3]train step 2040; scene = ['dl3dv_a220f2e66f53a5']; loss = -1.109867
+Epoch 2:  12%|██████▊                                                 | 117/966 [04:24<32:00,  0.44it/s, v_num=s5n3]train step 2050; scene = ['dl3dv_bb58a35d49bcda']; loss = -0.892841
+Epoch 2:  13%|███████▎                                                | 127/966 [04:55<32:33,  0.43it/s, v_num=s5n3]train step 2060; scene = ['dl3dv_05c8b23b4c3a18']; loss = -1.561980
+Epoch 2:  14%|███████▉                                                | 137/966 [05:15<31:46,  0.43it/s, v_num=s5n3]train step 2070; scene = ['dl3dv_e4d7354b7fd57f']; loss = -0.860110
+Epoch 2:  15%|████████▌                                               | 147/966 [05:35<31:06,  0.44it/s, v_num=s5n3]train step 2080; scene = ['dl3dv_3986d2fa128535']; loss = -0.595357
+Epoch 2:  16%|█████████                                               | 157/966 [05:54<30:26,  0.44it/s, v_num=s5n3]train step 2090; scene = ['dl3dv_340c0fffda49d0']; loss = -0.959712
+Epoch 2:  17%|█████████▋                                              | 167/966 [06:14<29:53,  0.45it/s, v_num=s5n3]train step 2100; scene = ['dl3dv_ed004ce581f771']; loss = -0.779081
+Epoch 2:  18%|██████████▎                                             | 177/966 [06:35<29:21,  0.45it/s, v_num=s5n3]train step 2110; scene = ['dl3dv_6589a9d709d018', 'dl3dv_a41019efa2f77d']; loss = -1.419798
+Epoch 2:  19%|██████████▊                                             | 187/966 [06:54<28:47,  0.45it/s, v_num=s5n3]train step 2120; scene = ['dl3dv_e2c81959a4e78a']; loss = -0.764101
+Epoch 2:  20%|███████████▍                                            | 197/966 [07:14<28:16,  0.45it/s, v_num=s5n3]train step 2130; scene = ['dl3dv_b6e970fe3a597f']; loss = -1.915172
+Epoch 2:  21%|████████████                                            | 207/966 [07:35<27:50,  0.45it/s, v_num=s5n3]train step 2140; scene = ['dl3dv_f7a6b8b1052c57']; loss = -1.074533
+Epoch 2:  22%|████████████▌                                           | 217/966 [07:55<27:19,  0.46it/s, v_num=s5n3]train step 2150; scene = ['dl3dv_f8b9cce57a3a74']; loss = -1.684869
+Epoch 2:  23%|█████████████▏                                          | 227/966 [08:16<26:54,  0.46it/s, v_num=s5n3]train step 2160; scene = ['dl3dv_0706423df5e141']; loss = -0.883271
+Epoch 2:  25%|█████████████▋                                          | 237/966 [08:35<26:26,  0.46it/s, v_num=s5n3]train step 2170; scene = ['dl3dv_28b15a3a27ac75']; loss = -1.019960
+Epoch 2:  26%|██████████████▎                                         | 247/966 [08:54<25:56,  0.46it/s, v_num=s5n3]train step 2180; scene = ['dl3dv_f0ad76b21f838d']; loss = -0.849715
+Epoch 2:  27%|██████████████▉                                         | 257/966 [09:14<25:29,  0.46it/s, v_num=s5n3]train step 2190; scene = ['dl3dv_a54a280853ad7f']; loss = -1.792861
+Epoch 2:  28%|███████████████▍                                        | 267/966 [09:33<25:01,  0.47it/s, v_num=s5n3]train step 2200; scene = ['dl3dv_e6803f50f566cf']; loss = -1.204549
+Epoch 2:  29%|████████████████                                        | 277/966 [10:04<25:02,  0.46it/s, v_num=s5n3]train step 2210; scene = ['dl3dv_499b8322f3a553']; loss = -1.211886
+Epoch 2:  30%|████████████████▋                                       | 287/966 [10:23<24:35,  0.46it/s, v_num=s5n3]train step 2220; scene = ['dl3dv_7d5b2bdae3958d']; loss = -1.370478
+Epoch 2:  31%|█████████████████▏                                      | 297/966 [10:43<24:08,  0.46it/s, v_num=s5n3]train step 2230; scene = ['dl3dv_f056792a2542b8', 'dl3dv_f0b021144b0545']; loss = -1.800856
+Epoch 2:  32%|█████████████████▊                                      | 307/966 [11:03<23:45,  0.46it/s, v_num=s5n3]train step 2240; scene = ['dl3dv_f0a06a98486ad0']; loss = -1.176403
+Epoch 2:  33%|██████████████████▍                                     | 317/966 [11:32<23:38,  0.46it/s, v_num=s5n3]train step 2250; scene = ['dl3dv_0bb8ca9f66eaf7']; loss = -1.411524
+Epoch 2:  34%|██████████████████▉                                     | 327/966 [11:51<23:10,  0.46it/s, v_num=s5n3]train step 2260; scene = ['dl3dv_91b23daeb4cd9d']; loss = -1.006856
+Epoch 2:  35%|███████████████████▌                                    | 337/966 [12:10<22:43,  0.46it/s, v_num=s5n3]train step 2270; scene = ['dl3dv_a621748d87a0d9', 'dl3dv_0be6c7fa798134', 'dl3dv_82aca2f675bb7d']; loss = -1.793788
+Epoch 2:  36%|████████████████████                                    | 347/966 [12:31<22:20,  0.46it/s, v_num=s5n3]train step 2280; scene = ['dl3dv_89c63abb732c34']; loss = -0.974048
+Epoch 2:  37%|████████████████████▋                                   | 357/966 [12:51<21:56,  0.46it/s, v_num=s5n3]train step 2290; scene = ['dl3dv_1be473ec43a134']; loss = -1.053311
+Epoch 2:  38%|█████████████████████▎                                  | 367/966 [13:10<21:30,  0.46it/s, v_num=s5n3]train step 2300; scene = ['dl3dv_5aabf0172b3779']; loss = -1.833894
+Epoch 2:  39%|█████████████████████▊                                  | 377/966 [13:28<21:03,  0.47it/s, v_num=s5n3]train step 2310; scene = ['dl3dv_38de39325ff142']; loss = -1.057623
+Epoch 2:  40%|██████████████████████▍                                 | 387/966 [13:48<20:39,  0.47it/s, v_num=s5n3]train step 2320; scene = ['dl3dv_58ff6d6ec09954', 'dl3dv_ba2a50a7f7b626']; loss = -1.386741
+Epoch 2:  41%|███████████████████████                                 | 397/966 [14:06<20:13,  0.47it/s, v_num=s5n3]train step 2330; scene = ['dl3dv_4c64d4edb0ee6b']; loss = -0.762264
+Epoch 2:  42%|███████████████████████▌                                | 407/966 [14:25<19:48,  0.47it/s, v_num=s5n3]train step 2340; scene = ['dl3dv_9f280d058501c5']; loss = -1.039370
+Epoch 2:  43%|████████████████████████▏                               | 417/966 [14:56<19:40,  0.47it/s, v_num=s5n3]train step 2350; scene = ['dl3dv_99c213e6429fa9']; loss = -1.049019
+Epoch 2:  44%|████████████████████████▊                               | 427/966 [15:14<19:14,  0.47it/s, v_num=s5n3]train step 2360; scene = ['dl3dv_f1db93153f214d', 'dl3dv_daa80574919218']; loss = -1.277744
+Epoch 2:  45%|█████████████████████████▎                              | 437/966 [15:33<18:49,  0.47it/s, v_num=s5n3]train step 2370; scene = ['dl3dv_88130950204a2e']; loss = -0.910610
+Epoch 2:  46%|█████████████████████████▉                              | 447/966 [15:52<18:26,  0.47it/s, v_num=s5n3]train step 2380; scene = ['dl3dv_c22037213a7c8d']; loss = -1.180160
+Epoch 2:  47%|██████████████████████████▍                             | 457/966 [16:13<18:04,  0.47it/s, v_num=s5n3]train step 2390; scene = ['dl3dv_0b2568c2dded02', 'dl3dv_01e85164d4f9ef']; loss = -1.224234
+Epoch 2:  48%|███████████████████████████                             | 467/966 [16:44<17:53,  0.46it/s, v_num=s5n3]train step 2400; scene = ['dl3dv_fd25842fb3aa74']; loss = -1.480029
+Epoch 2:  49%|███████████████████████████▋                            | 477/966 [17:13<17:39,  0.46it/s, v_num=s5n3]train step 2410; scene = ['dl3dv_c3a9692e0756b2']; loss = -1.273479
+Epoch 2:  50%|████████████████████████████▏                           | 487/966 [17:32<17:15,  0.46it/s, v_num=s5n3]train step 2420; scene = ['dl3dv_d9dcaedb97652c']; loss = -1.642237
+Epoch 2:  51%|████████████████████████████▊                           | 497/966 [17:50<16:50,  0.46it/s, v_num=s5n3]train step 2430; scene = ['dl3dv_8e5234e2fe5bbd']; loss = -1.936468
+Epoch 2:  52%|█████████████████████████████▍                          | 507/966 [18:10<16:27,  0.46it/s, v_num=s5n3]train step 2440; scene = ['dl3dv_aad97ba714ecfe', 'dl3dv_c3870941c02697']; loss = -1.018828
+Epoch 2:  54%|█████████████████████████████▉                          | 517/966 [18:29<16:03,  0.47it/s, v_num=s5n3]train step 2450; scene = ['dl3dv_20cc08e60beceb']; loss = -1.823522
+Epoch 2:  55%|██████████████████████████████▌                         | 527/966 [18:48<15:40,  0.47it/s, v_num=s5n3]train step 2460; scene = ['dl3dv_5838499f020ac0']; loss = -1.574527
+Epoch 2:  56%|███████████████████████████████▏                        | 537/966 [19:08<15:17,  0.47it/s, v_num=s5n3]train step 2470; scene = ['dl3dv_13c5d4fa7cc99f']; loss = -1.489938
+Epoch 2:  57%|███████████████████████████████▋                        | 547/966 [19:27<14:54,  0.47it/s, v_num=s5n3]train step 2480; scene = ['dl3dv_d8ffcc6ae2196f']; loss = -1.568195
+Epoch 2:  58%|████████████████████████████████▎                       | 557/966 [19:45<14:30,  0.47it/s, v_num=s5n3]train step 2490; scene = ['dl3dv_197ed410618130']; loss = -1.547446
+Epoch 2:  59%|████████████████████████████████▊                       | 567/966 [20:12<14:13,  0.47it/s, v_num=s5n3]train step 2500; scene = ['dl3dv_f385e57335d969']; loss = -0.747505
+Epoch 2:  59%|████████████████████████████████▉                       | 568/966 [20:15<14:11,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 2500; scene = ['room'];
+Epoch 2:  60%|█████████████████████████████████▍                      | 577/966 [20:45<13:59,  0.46it/s, v_num=s5n3]train step 2510; scene = ['dl3dv_b5da01cc1542d2']; loss = -1.484293
+Epoch 2:  61%|██████████████████████████████████                      | 587/966 [21:05<13:37,  0.46it/s, v_num=s5n3]train step 2520; scene = ['dl3dv_a968dc042a3db2', 'dl3dv_5bf422be356fcd']; loss = -1.238022
+Epoch 2:  62%|██████████████████████████████████▌                     | 597/966 [21:25<13:14,  0.46it/s, v_num=s5n3]train step 2530; scene = ['dl3dv_e77df5139dd791']; loss = -0.460517
+Epoch 2:  63%|███████████████████████████████████▏                    | 607/966 [21:46<12:52,  0.46it/s, v_num=s5n3]train step 2540; scene = ['dl3dv_7e875325851484']; loss = -1.075374
+Epoch 2:  64%|███████████████████████████████████▊                    | 617/966 [22:06<12:30,  0.47it/s, v_num=s5n3]train step 2550; scene = ['dl3dv_8c508b5b414fdc']; loss = -1.793396
+Epoch 2:  65%|████████████████████████████████████▎                   | 627/966 [22:25<12:07,  0.47it/s, v_num=s5n3]train step 2560; scene = ['dl3dv_72f0d61bc9e336']; loss = -0.966751
+Epoch 2:  66%|████████████████████████████████████▉                   | 637/966 [22:43<11:44,  0.47it/s, v_num=s5n3]train step 2570; scene = ['dl3dv_3db82e7ffc5c73']; loss = -1.125694
+Epoch 2:  67%|█████████████████████████████████████▌                  | 647/966 [23:02<11:21,  0.47it/s, v_num=s5n3]train step 2580; scene = ['dl3dv_6e1589a069919e', 'dl3dv_70bfb542028cca']; loss = -1.996793
+Epoch 2:  68%|██████████████████████████████████████                  | 657/966 [23:22<10:59,  0.47it/s, v_num=s5n3]train step 2590; scene = ['dl3dv_723e4648d084aa']; loss = -1.116803
+Epoch 2:  69%|██████████████████████████████████████▋                 | 667/966 [23:42<10:37,  0.47it/s, v_num=s5n3]train step 2600; scene = ['dl3dv_65ed51fd8d8237']; loss = -0.342924
+Epoch 2:  70%|███████████████████████████████████████▏                | 677/966 [24:13<10:20,  0.47it/s, v_num=s5n3]train step 2610; scene = ['dl3dv_49c3ca001a607d', 'dl3dv_923b29f6c0b7e0']; loss = -1.933810
+Epoch 2:  71%|███████████████████████████████████████▊                | 687/966 [24:41<10:01,  0.46it/s, v_num=s5n3]train step 2620; scene = ['dl3dv_8efe975becb7fc']; loss = -0.570503
+Epoch 2:  72%|████████████████████████████████████████▍               | 697/966 [25:01<09:39,  0.46it/s, v_num=s5n3]train step 2630; scene = ['dl3dv_e0a5470d1f203b']; loss = -1.609658
+Epoch 2:  73%|████████████████████████████████████████▉               | 707/966 [25:20<09:16,  0.47it/s, v_num=s5n3]train step 2640; scene = ['dl3dv_104d8f82b769f3', 'dl3dv_8275c23418681a', 'dl3dv_f6fd68a35ac970', 'dl3dv_6356e7c341ab32']; loss = -1.866309
+Epoch 2:  74%|█████████████████████████████████████████▌              | 717/966 [25:51<08:58,  0.46it/s, v_num=s5n3]train step 2650; scene = ['dl3dv_f2c1c96210d821', 'dl3dv_dbd7a081c014cd']; loss = -1.831891
+Epoch 2:  75%|██████████████████████████████████████████▏             | 727/966 [26:10<08:36,  0.46it/s, v_num=s5n3]train step 2660; scene = ['dl3dv_c96c7133232db2']; loss = -1.367472
+Epoch 2:  76%|██████████████████████████████████████████▋             | 737/966 [26:29<08:13,  0.46it/s, v_num=s5n3]train step 2670; scene = ['dl3dv_33090d5c54dcf2']; loss = -1.886153
+Epoch 2:  77%|███████████████████████████████████████████▎            | 747/966 [26:48<07:51,  0.46it/s, v_num=s5n3]train step 2680; scene = ['dl3dv_6a6f4fdf144d16']; loss = -0.664230
+Epoch 2:  78%|███████████████████████████████████████████▉            | 757/966 [27:07<07:29,  0.46it/s, v_num=s5n3]train step 2690; scene = ['dl3dv_9fe973dd91bad2']; loss = -1.790049
+Epoch 2:  79%|████████████████████████████████████████████▍           | 767/966 [27:28<07:07,  0.47it/s, v_num=s5n3]train step 2700; scene = ['dl3dv_d22ec2a0b33c08', 'dl3dv_d432cfcd9b4f60']; loss = -1.033409
+Epoch 2:  80%|█████████████████████████████████████████████           | 777/966 [27:48<06:45,  0.47it/s, v_num=s5n3]train step 2710; scene = ['dl3dv_0f365efd0a1a81']; loss = -1.462065
+Epoch 2:  81%|█████████████████████████████████████████████▌          | 787/966 [28:08<06:24,  0.47it/s, v_num=s5n3]train step 2720; scene = ['dl3dv_952bbb8f5ef569']; loss = -1.384318
+Epoch 2:  83%|██████████████████████████████████████████████▏         | 797/966 [28:27<06:01,  0.47it/s, v_num=s5n3]train step 2730; scene = ['dl3dv_45e10649aa9818']; loss = -2.402747
+Epoch 2:  84%|██████████████████████████████████████████████▊         | 807/966 [28:47<05:40,  0.47it/s, v_num=s5n3]train step 2740; scene = ['dl3dv_1f2c6194a608f5', 'dl3dv_079fa662f29b06']; loss = -1.685904
+Epoch 2:  85%|███████████████████████████████████████████████▎        | 817/966 [29:08<05:18,  0.47it/s, v_num=s5n3]train step 2750; scene = ['dl3dv_18691ec0a083de']; loss = -2.042210
+Epoch 2:  86%|███████████████████████████████████████████████▉        | 827/966 [29:27<04:57,  0.47it/s, v_num=s5n3]train step 2760; scene = ['dl3dv_716bd72d1405f8']; loss = -1.078977
+Epoch 2:  87%|████████████████████████████████████████████████▌       | 837/966 [29:47<04:35,  0.47it/s, v_num=s5n3]train step 2770; scene = ['dl3dv_e2819ef0317dd2']; loss = -0.878464
+Epoch 2:  88%|█████████████████████████████████████████████████       | 847/966 [30:06<04:13,  0.47it/s, v_num=s5n3]train step 2780; scene = ['dl3dv_f6767ab4dc490d']; loss = -1.099612
+Epoch 2:  89%|█████████████████████████████████████████████████▋      | 857/966 [30:26<03:52,  0.47it/s, v_num=s5n3]train step 2790; scene = ['dl3dv_65cb3db083491e']; loss = -1.558283
+Epoch 2:  90%|██████████████████████████████████████████████████▎     | 867/966 [30:45<03:30,  0.47it/s, v_num=s5n3]train step 2800; scene = ['dl3dv_a00442a9ff1856', 'dl3dv_0777b243c09e2d']; loss = -1.799595
+Epoch 2:  91%|██████████████████████████████████████████████████▊     | 877/966 [31:12<03:09,  0.47it/s, v_num=s5n3]train step 2810; scene = ['dl3dv_6d450efc1fc03e']; loss = -1.190645
+Epoch 2:  92%|███████████████████████████████████████████████████▍    | 887/966 [31:32<02:48,  0.47it/s, v_num=s5n3]train step 2820; scene = ['dl3dv_1da62966545b68']; loss = -1.011042
+Epoch 2:  93%|████████████████████████████████████████████████████    | 897/966 [31:49<02:26,  0.47it/s, v_num=s5n3]train step 2830; scene = ['dl3dv_d94c6c7a86dee7']; loss = -1.315127
+Epoch 2:  94%|████████████████████████████████████████████████████▌   | 907/966 [32:08<02:05,  0.47it/s, v_num=s5n3]train step 2840; scene = ['dl3dv_377c0904500c8f']; loss = -1.198769
+Epoch 2:  95%|█████████████████████████████████████████████████████▏  | 917/966 [32:26<01:44,  0.47it/s, v_num=s5n3]train step 2850; scene = ['dl3dv_a8c676d958778d']; loss = -1.436809
+Epoch 2:  96%|█████████████████████████████████████████████████████▋  | 927/966 [32:45<01:22,  0.47it/s, v_num=s5n3]train step 2860; scene = ['dl3dv_d69b583539a416']; loss = -1.262836
+Epoch 2:  97%|██████████████████████████████████████████████████████▎ | 937/966 [33:04<01:01,  0.47it/s, v_num=s5n3]train step 2870; scene = ['dl3dv_ed2b530d8b42cc', 'dl3dv_918f2a7f0e172c']; loss = -1.858851
+Epoch 2:  98%|██████████████████████████████████████████████████████▉ | 947/966 [33:23<00:40,  0.47it/s, v_num=s5n3]train step 2880; scene = ['dl3dv_9afe3b331cb0ee']; loss = -0.926665
+Epoch 2:  99%|███████████████████████████████████████████████████████▍| 957/966 [33:43<00:19,  0.47it/s, v_num=s5n3]train step 2890; scene = ['dl3dv_d465b6b7b59db7', 'dl3dv_dac5270121523f']; loss = -1.330668
+Epoch 3:   0%|                                                          | 1/966 [00:02<32:37,  0.49it/s, v_num=s5n3]train step 2900; scene = ['dl3dv_4df362276310af']; loss = -1.259424
+Epoch 3:   1%|▋                                                        | 11/966 [00:21<31:23,  0.51it/s, v_num=s5n3]train step 2910; scene = ['dl3dv_6e90448e3f5a7b']; loss = -1.747530
+Epoch 3:   2%|█▏                                                       | 21/966 [00:40<30:36,  0.51it/s, v_num=s5n3]train step 2920; scene = ['dl3dv_839f322dc7f417']; loss = -0.865328
+Epoch 3:   3%|█▊                                                       | 31/966 [01:11<35:51,  0.43it/s, v_num=s5n3]train step 2930; scene = ['dl3dv_dbb254355f5492', 'dl3dv_2abdb4adf219f3']; loss = -1.816062
+Epoch 3:   4%|██▍                                                      | 41/966 [01:31<34:21,  0.45it/s, v_num=s5n3]train step 2940; scene = ['dl3dv_3cd6d9689591ec']; loss = -1.168245
+Epoch 3:   5%|███                                                      | 51/966 [01:51<33:17,  0.46it/s, v_num=s5n3]train step 2950; scene = ['dl3dv_7534650c6bca22']; loss = -2.040089
+Epoch 3:   6%|███▌                                                     | 61/966 [02:11<32:30,  0.46it/s, v_num=s5n3]train step 2960; scene = ['dl3dv_acbfa1fc9f34af']; loss = -1.318736
+Epoch 3:   7%|████▏                                                    | 71/966 [02:31<31:50,  0.47it/s, v_num=s5n3]train step 2970; scene = ['dl3dv_8e5ec29f81e6ad']; loss = -0.653785
+Epoch 3:   8%|████▊                                                    | 81/966 [02:52<31:19,  0.47it/s, v_num=s5n3]train step 2980; scene = ['dl3dv_1efa817bea6507', 'dl3dv_81207244620873', 'dl3dv_7974cd748a9467']; loss = -1.814395
+Epoch 3:   9%|█████▎                                                   | 91/966 [03:23<32:32,  0.45it/s, v_num=s5n3]train step 2990; scene = ['dl3dv_12c752a76deb27']; loss = -1.311154
+Epoch 3:  10%|█████▊                                                  | 101/966 [03:43<31:52,  0.45it/s, v_num=s5n3]train step 3000; scene = ['dl3dv_2fd85427cef496']; loss = -1.277401
+Epoch 3:  11%|█████▉                                                  | 102/966 [03:51<32:44,  0.44it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 3000; scene = ['room'];
+Epoch 3:  11%|██████▍                                                 | 111/966 [04:21<33:37,  0.42it/s, v_num=s5n3]train step 3010; scene = ['dl3dv_f87152e94e4135']; loss = -1.009750
+Epoch 3:  13%|███████                                                 | 121/966 [04:41<32:46,  0.43it/s, v_num=s5n3]train step 3020; scene = ['dl3dv_2af5a9ed32bc76', 'dl3dv_e6117af5999206', 'dl3dv_a8d3b8ebd64366']; loss = -1.461700
+Epoch 3:  14%|███████▌                                                | 131/966 [05:01<32:00,  0.43it/s, v_num=s5n3]train step 3030; scene = ['dl3dv_e10d3d87d9a21d', 'dl3dv_78688bb1576e53', 'dl3dv_53a3a04ca4a9a7', 'dl3dv_e588b2db4e3feb']; loss = -1.366560
+Epoch 3:  15%|████████▏                                               | 141/966 [05:21<31:21,  0.44it/s, v_num=s5n3]train step 3040; scene = ['dl3dv_98df477b2a4c5a']; loss = -0.177717
+Epoch 3:  16%|████████▊                                               | 151/966 [05:42<30:50,  0.44it/s, v_num=s5n3]train step 3050; scene = ['dl3dv_71145db754da9d']; loss = -1.421788
+Epoch 3:  17%|█████████▎                                              | 161/966 [06:01<30:06,  0.45it/s, v_num=s5n3]train step 3060; scene = ['dl3dv_075871bafd1dbe']; loss = -2.135501
+Epoch 3:  18%|█████████▉                                              | 171/966 [06:21<29:34,  0.45it/s, v_num=s5n3]train step 3070; scene = ['dl3dv_eb68a6031a267a']; loss = -1.771535
+Epoch 3:  19%|██████████▍                                             | 181/966 [06:40<28:58,  0.45it/s, v_num=s5n3]train step 3080; scene = ['dl3dv_c03e55e51321e5']; loss = -1.540406
+Epoch 3:  20%|███████████                                             | 191/966 [07:00<28:26,  0.45it/s, v_num=s5n3]train step 3090; scene = ['dl3dv_a0644b62c54052']; loss = -1.676857
+Epoch 3:  21%|███████████▋                                            | 201/966 [07:19<27:54,  0.46it/s, v_num=s5n3]train step 3100; scene = ['dl3dv_dbeb7ff718da0c']; loss = -1.366532
+Epoch 3:  22%|████████████▏                                           | 211/966 [07:41<27:31,  0.46it/s, v_num=s5n3]train step 3110; scene = ['dl3dv_83d6ec4ff945f8']; loss = -1.292038
+Epoch 3:  23%|████████████▊                                           | 221/966 [08:01<27:02,  0.46it/s, v_num=s5n3]train step 3120; scene = ['dl3dv_3d4b5440e2b9fb']; loss = -1.696635
+Epoch 3:  24%|█████████████▍                                          | 231/966 [08:20<26:33,  0.46it/s, v_num=s5n3]train step 3130; scene = ['dl3dv_0943ca5b5e8402']; loss = -0.609075
+Epoch 3:  25%|█████████████▉                                          | 241/966 [08:40<26:04,  0.46it/s, v_num=s5n3]train step 3140; scene = ['dl3dv_f8b9cce57a3a74']; loss = -1.598915
+Epoch 3:  26%|██████████████▌                                         | 251/966 [09:01<25:41,  0.46it/s, v_num=s5n3]train step 3150; scene = ['dl3dv_8b2678b44bce2e']; loss = -1.175165
+Epoch 3:  27%|███████████████▏                                        | 261/966 [09:31<25:43,  0.46it/s, v_num=s5n3]train step 3160; scene = ['dl3dv_28b15a3a27ac75']; loss = -1.166174
+Epoch 3:  28%|███████████████▋                                        | 271/966 [09:50<25:14,  0.46it/s, v_num=s5n3]train step 3170; scene = ['dl3dv_96efabeb0709b1', 'dl3dv_f0ad76b21f838d', 'dl3dv_20914ba116e5d9', 'dl3dv_d777a575c7165b']; loss = -1.523228
+Epoch 3:  29%|████████████████▎                                       | 281/966 [10:11<24:49,  0.46it/s, v_num=s5n3]train step 3180; scene = ['dl3dv_6bd8677dbd5600', 'dl3dv_68ac8d473fe630', 'dl3dv_b18ad42be0548c']; loss = -1.766638
+Epoch 3:  30%|████████████████▊                                       | 291/966 [10:30<24:21,  0.46it/s, v_num=s5n3]train step 3190; scene = ['dl3dv_682000f76389a4']; loss = -0.729649
+Epoch 3:  31%|█████████████████▍                                      | 301/966 [10:49<23:54,  0.46it/s, v_num=s5n3]train step 3200; scene = ['dl3dv_52652361abbf76']; loss = -1.366559
+Epoch 3:  32%|██████████████████                                      | 311/966 [11:17<23:46,  0.46it/s, v_num=s5n3]train step 3210; scene = ['dl3dv_c945a91d8f5bad']; loss = -0.949208
+Epoch 3:  33%|██████████████████▌                                     | 321/966 [11:38<23:23,  0.46it/s, v_num=s5n3]train step 3220; scene = ['dl3dv_8a178b70c0d1a8']; loss = -0.803818
+Epoch 3:  34%|███████████████████▏                                    | 331/966 [11:58<22:58,  0.46it/s, v_num=s5n3]train step 3230; scene = ['dl3dv_f427c1dc0ec26c']; loss = -1.774718
+Epoch 3:  35%|███████████████████▊                                    | 341/966 [12:18<22:33,  0.46it/s, v_num=s5n3]train step 3240; scene = ['dl3dv_a6b518864bf49b']; loss = -1.763577
+Epoch 3:  36%|████████████████████▎                                   | 351/966 [12:38<22:09,  0.46it/s, v_num=s5n3]train step 3250; scene = ['dl3dv_91b23daeb4cd9d']; loss = -1.161523
+Epoch 3:  37%|████████████████████▉                                   | 361/966 [12:58<21:44,  0.46it/s, v_num=s5n3]train step 3260; scene = ['dl3dv_adc5cd8396b2fc']; loss = -1.536054
+Epoch 3:  38%|█████████████████████▌                                  | 371/966 [13:28<21:36,  0.46it/s, v_num=s5n3]train step 3270; scene = ['dl3dv_6c539471970e07', 'dl3dv_98a565e356bc1b']; loss = -1.420064
+Epoch 3:  39%|██████████████████████                                  | 381/966 [13:48<21:12,  0.46it/s, v_num=s5n3]train step 3280; scene = ['dl3dv_bb03c237321c95']; loss = -1.125904
+Epoch 3:  40%|██████████████████████▋                                 | 391/966 [14:07<20:45,  0.46it/s, v_num=s5n3]train step 3290; scene = ['dl3dv_ef1a5c3514939c']; loss = -1.402746
+Epoch 3:  42%|███████████████████████▏                                | 401/966 [14:27<20:21,  0.46it/s, v_num=s5n3]train step 3300; scene = ['dl3dv_35f91630518345']; loss = -1.065288
+Epoch 3:  43%|███████████████████████▊                                | 411/966 [14:47<19:59,  0.46it/s, v_num=s5n3]train step 3310; scene = ['dl3dv_1dd1ac406875fd']; loss = -0.907523
+Epoch 3:  44%|████████████████████████▍                               | 421/966 [15:17<19:48,  0.46it/s, v_num=s5n3]train step 3320; scene = ['dl3dv_1291fcddcc17fa', 'dl3dv_f63f268bdd8390', 'dl3dv_e0c57a88ada5f0', 'dl3dv_9f280d058501c5']; loss = -1.748271
+Epoch 3:  45%|████████████████████████▉                               | 431/966 [15:37<19:23,  0.46it/s, v_num=s5n3]train step 3330; scene = ['dl3dv_2fb6d75be5d4b9']; loss = -1.469724
+Epoch 3:  46%|█████████████████████████▌                              | 441/966 [15:55<18:57,  0.46it/s, v_num=s5n3]train step 3340; scene = ['dl3dv_0010315801d030']; loss = -1.258089
+Epoch 3:  47%|██████████████████████████▏                             | 451/966 [16:15<18:33,  0.46it/s, v_num=s5n3]train step 3350; scene = ['dl3dv_a48ca968e644e3']; loss = -0.776726
+Epoch 3:  48%|██████████████████████████▋                             | 461/966 [16:35<18:10,  0.46it/s, v_num=s5n3]train step 3360; scene = ['dl3dv_f26f586ba0163d']; loss = -0.636776
+Epoch 3:  49%|███████████████████████████▎                            | 471/966 [16:54<17:46,  0.46it/s, v_num=s5n3]train step 3370; scene = ['dl3dv_b0ef68b23b7f8e']; loss = -0.778342
+Epoch 3:  50%|███████████████████████████▉                            | 481/966 [17:14<17:23,  0.46it/s, v_num=s5n3]train step 3380; scene = ['dl3dv_f43cf0af2d44e6']; loss = -1.521732
+Epoch 3:  51%|████████████████████████████▍                           | 491/966 [17:32<16:58,  0.47it/s, v_num=s5n3]train step 3390; scene = ['dl3dv_8eb701996bdeaf']; loss = -2.130752
+Epoch 3:  52%|█████████████████████████████                           | 501/966 [17:52<16:35,  0.47it/s, v_num=s5n3]train step 3400; scene = ['dl3dv_ded515732a87ba']; loss = -1.773436
+Epoch 3:  53%|█████████████████████████████▌                          | 511/966 [18:17<16:16,  0.47it/s, v_num=s5n3]train step 3410; scene = ['dl3dv_ac05634e8f9f50']; loss = -0.809513
+Epoch 3:  54%|██████████████████████████████▏                         | 521/966 [18:35<15:53,  0.47it/s, v_num=s5n3]train step 3420; scene = ['dl3dv_5d00b2365c0643']; loss = -1.275891
+Epoch 3:  55%|██████████████████████████████▊                         | 531/966 [19:04<15:37,  0.46it/s, v_num=s5n3]train step 3430; scene = ['dl3dv_d69eef63beb110']; loss = -0.785937
+Epoch 3:  56%|███████████████████████████████▎                        | 541/966 [19:24<15:14,  0.46it/s, v_num=s5n3]train step 3440; scene = ['dl3dv_c94594cbde7ef0']; loss = 0.226149
+Epoch 3:  57%|███████████████████████████████▉                        | 551/966 [19:42<14:50,  0.47it/s, v_num=s5n3]train step 3450; scene = ['dl3dv_9a5afbe7a02949']; loss = -1.156624
+Epoch 3:  58%|████████████████████████████████▌                       | 561/966 [20:02<14:27,  0.47it/s, v_num=s5n3]train step 3460; scene = ['dl3dv_5fe4a780d29b50']; loss = -1.171139
+Epoch 3:  59%|█████████████████████████████████                       | 571/966 [20:22<14:05,  0.47it/s, v_num=s5n3]train step 3470; scene = ['dl3dv_befb9aaf044cff']; loss = -0.860578
+Epoch 3:  60%|█████████████████████████████████▋                      | 581/966 [20:41<13:42,  0.47it/s, v_num=s5n3]train step 3480; scene = ['dl3dv_8f9ea8ce989faa']; loss = -2.051693
+Epoch 3:  61%|██████████████████████████████████▎                     | 591/966 [20:59<13:19,  0.47it/s, v_num=s5n3]train step 3490; scene = ['dl3dv_9ea237f774d4c5', 'dl3dv_40aadce0061760']; loss = -1.267329
+Epoch 3:  62%|██████████████████████████████████▊                     | 601/966 [21:19<12:56,  0.47it/s, v_num=s5n3]train step 3500; scene = ['dl3dv_3c7a3f7df3f0e2']; loss = -1.657986
+Epoch 3:  62%|██████████████████████████████████▉                     | 602/966 [21:21<12:54,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 3500; scene = ['room'];
+Epoch 3:  63%|███████████████████████████████████▍                    | 611/966 [21:52<12:42,  0.47it/s, v_num=s5n3]train step 3510; scene = ['dl3dv_8ece2cc27cdfb9']; loss = -1.373256
+Epoch 3:  64%|████████████████████████████████████                    | 621/966 [22:13<12:20,  0.47it/s, v_num=s5n3]train step 3520; scene = ['dl3dv_d81534b0e3a5a2', 'dl3dv_b4c14007eb2e0a']; loss = -1.233806
+Epoch 3:  65%|████████████████████████████████████▌                   | 631/966 [22:32<11:58,  0.47it/s, v_num=s5n3]train step 3530; scene = ['dl3dv_fae07f2ed5f9b4', 'dl3dv_f9de33a945b8ba']; loss = -1.355870
+Epoch 3:  66%|█████████████████████████████████████▏                  | 641/966 [23:00<11:40,  0.46it/s, v_num=s5n3]train step 3540; scene = ['dl3dv_0b4fcbba5569b2', 'dl3dv_242f4c11962a7d']; loss = -1.559478
+Epoch 3:  67%|█████████████████████████████████████▋                  | 651/966 [23:20<11:17,  0.46it/s, v_num=s5n3]train step 3550; scene = ['dl3dv_3db82e7ffc5c73']; loss = -0.960267
+Epoch 3:  68%|██████████████████████████████████████▎                 | 661/966 [23:50<10:59,  0.46it/s, v_num=s5n3]train step 3560; scene = ['dl3dv_725cf6b91477a9']; loss = -1.521204
+Epoch 3:  69%|██████████████████████████████████████▉                 | 671/966 [24:08<10:37,  0.46it/s, v_num=s5n3]train step 3570; scene = ['dl3dv_30a95890e3e89f']; loss = -0.972849
+Epoch 3:  70%|███████████████████████████████████████▍                | 681/966 [24:29<10:14,  0.46it/s, v_num=s5n3]train step 3580; scene = ['dl3dv_16433dba9fd1e2']; loss = -1.160912
+Epoch 3:  72%|████████████████████████████████████████                | 691/966 [24:48<09:52,  0.46it/s, v_num=s5n3]train step 3590; scene = ['dl3dv_f962479f0c2e21', 'dl3dv_299fa251f44520']; loss = -1.402842
+Epoch 3:  73%|████████████████████████████████████████▋               | 701/966 [25:08<09:30,  0.46it/s, v_num=s5n3]train step 3600; scene = ['dl3dv_df7487a5143b29']; loss = -1.259783
+Epoch 3:  74%|█████████████████████████████████████████▏              | 711/966 [25:34<09:10,  0.46it/s, v_num=s5n3]train step 3610; scene = ['dl3dv_ff1c3d039fff39']; loss = -1.575558
+Epoch 3:  75%|█████████████████████████████████████████▊              | 721/966 [25:53<08:48,  0.46it/s, v_num=s5n3]train step 3620; scene = ['dl3dv_0be3c2e40a4cc1']; loss = -1.336597
+Epoch 3:  76%|██████████████████████████████████████████▍             | 731/966 [26:14<08:26,  0.46it/s, v_num=s5n3]train step 3630; scene = ['dl3dv_4cdc9a4ff5782c']; loss = -1.452085
+Epoch 3:  77%|██████████████████████████████████████████▉             | 741/966 [26:33<08:03,  0.47it/s, v_num=s5n3]train step 3640; scene = ['dl3dv_292f59eafee233']; loss = -1.779927
+Epoch 3:  78%|███████████████████████████████████████████▌            | 751/966 [26:53<07:42,  0.47it/s, v_num=s5n3]train step 3650; scene = ['dl3dv_d3302c9225555c']; loss = -1.489815
+Epoch 3:  79%|████████████████████████████████████████████            | 761/966 [27:12<07:19,  0.47it/s, v_num=s5n3]train step 3660; scene = ['dl3dv_729a4c2a33797c']; loss = -1.106471
+Epoch 3:  80%|████████████████████████████████████████████▋           | 771/966 [27:31<06:57,  0.47it/s, v_num=s5n3]train step 3670; scene = ['dl3dv_c0b96a57600e42']; loss = -1.001161
+Epoch 3:  81%|█████████████████████████████████████████████▎          | 781/966 [27:50<06:35,  0.47it/s, v_num=s5n3]train step 3680; scene = ['dl3dv_80764814aa7c9c']; loss = -1.954981
+Epoch 3:  82%|█████████████████████████████████████████████▊          | 791/966 [28:09<06:13,  0.47it/s, v_num=s5n3]train step 3690; scene = ['dl3dv_d432cfcd9b4f60']; loss = -1.006964
+Epoch 3:  83%|██████████████████████████████████████████████▍         | 801/966 [28:28<05:51,  0.47it/s, v_num=s5n3]train step 3700; scene = ['dl3dv_de38c9416e43f2']; loss = -0.838697
+Epoch 3:  84%|███████████████████████████████████████████████         | 811/966 [28:47<05:30,  0.47it/s, v_num=s5n3]train step 3710; scene = ['dl3dv_b7192f2ed5458d', 'dl3dv_2aad55a04491eb', 'dl3dv_e89891b793456c']; loss = -1.852257
+Epoch 3:  85%|███████████████████████████████████████████████▌        | 821/966 [29:07<05:08,  0.47it/s, v_num=s5n3]train step 3720; scene = ['dl3dv_8c01f64079722c']; loss = -1.686280
+Epoch 3:  86%|████████████████████████████████████████████████▏       | 831/966 [29:26<04:47,  0.47it/s, v_num=s5n3]train step 3730; scene = ['dl3dv_7c1202853f98af']; loss = -1.250340
+Epoch 3:  87%|████████████████████████████████████████████████▊       | 841/966 [29:45<04:25,  0.47it/s, v_num=s5n3]train step 3740; scene = ['dl3dv_9b037b8a35bce0']; loss = -1.289552
+Epoch 3:  88%|█████████████████████████████████████████████████▎      | 851/966 [30:06<04:04,  0.47it/s, v_num=s5n3]train step 3750; scene = ['dl3dv_8062ae91f914e8', 'dl3dv_6669d5a95c2be3', 'dl3dv_e1a07d9df49f03', 'dl3dv_4f3d8fb00ae9a2', 'dl3dv_2901d9d7d5e201', 'dl3dv_e8536925aa7a2b', 'dl3dv_244e943ab13cd6', 'dl3dv_716bd72d1405f8']; loss = -1.713482
+Epoch 3:  89%|█████████████████████████████████████████████████▉      | 861/966 [30:25<03:42,  0.47it/s, v_num=s5n3]train step 3760; scene = ['dl3dv_dec00bf6469058']; loss = -1.454763
+Epoch 3:  90%|██████████████████████████████████████████████████▍     | 871/966 [30:45<03:21,  0.47it/s, v_num=s5n3]train step 3770; scene = ['dl3dv_efd74a79919d75']; loss = -1.379746
+Epoch 3:  91%|███████████████████████████████████████████████████     | 881/966 [31:06<03:00,  0.47it/s, v_num=s5n3]train step 3780; scene = ['dl3dv_27daa60e1fa93a']; loss = -1.201563
+Epoch 3:  92%|███████████████████████████████████████████████████▋    | 891/966 [31:27<02:38,  0.47it/s, v_num=s5n3]train step 3790; scene = ['dl3dv_4a23c5662b105e']; loss = -1.153624
+Epoch 3:  93%|████████████████████████████████████████████████████▏   | 901/966 [31:47<02:17,  0.47it/s, v_num=s5n3]train step 3800; scene = ['dl3dv_c07106cc1e6c6b', 'dl3dv_07a5d0f1abecee']; loss = -1.641959
+Epoch 3:  94%|████████████████████████████████████████████████████▊   | 911/966 [32:10<01:56,  0.47it/s, v_num=s5n3]train step 3810; scene = ['dl3dv_91134d978e310f']; loss = -1.140303
+Epoch 3:  95%|█████████████████████████████████████████████████████▍  | 921/966 [32:31<01:35,  0.47it/s, v_num=s5n3]train step 3820; scene = ['dl3dv_d3b0e0260e352e']; loss = -1.218671
+Epoch 3:  96%|█████████████████████████████████████████████████████▉  | 931/966 [32:51<01:14,  0.47it/s, v_num=s5n3]train step 3830; scene = ['dl3dv_37a844db239656']; loss = -0.963483
+Epoch 3:  97%|██████████████████████████████████████████████████████▌ | 941/966 [33:10<00:52,  0.47it/s, v_num=s5n3]train step 3840; scene = ['dl3dv_ba3dbeee5e6e8a']; loss = -1.687723
+Epoch 3:  98%|███████████████████████████████████████████████████████▏| 951/966 [33:39<00:31,  0.47it/s, v_num=s5n3]train step 3850; scene = ['dl3dv_95fc63eb645ab4']; loss = -1.951822
+Epoch 3:  99%|███████████████████████████████████████████████████████▋| 961/966 [33:59<00:10,  0.47it/s, v_num=s5n3]train step 3860; scene = ['dl3dv_cbd63ea41adf2a']; loss = -1.202219
+Epoch 4:   1%|▎                                                         | 5/966 [00:09<31:47,  0.50it/s, v_num=s5n3]train step 3870; scene = ['dl3dv_57b3744be21407']; loss = -1.311294
+Epoch 4:   2%|▉                                                        | 15/966 [00:29<31:28,  0.50it/s, v_num=s5n3]train step 3880; scene = ['dl3dv_ec502342bd6245']; loss = -2.119204
+Epoch 4:   3%|█▍                                                       | 25/966 [00:49<30:58,  0.51it/s, v_num=s5n3]train step 3890; scene = ['dl3dv_e257f8599a1946']; loss = -0.493800
+Epoch 4:   4%|██                                                       | 35/966 [01:08<30:15,  0.51it/s, v_num=s5n3]train step 3900; scene = ['dl3dv_17d684222ad9a9']; loss = -1.358613
+Epoch 4:   5%|██▋                                                      | 45/966 [01:39<34:03,  0.45it/s, v_num=s5n3]train step 3910; scene = ['dl3dv_ae8131412b009b']; loss = -1.728472
+Epoch 4:   6%|███▏                                                     | 55/966 [01:57<32:29,  0.47it/s, v_num=s5n3]train step 3920; scene = ['dl3dv_75367b5e26cb29', 'dl3dv_e209a091c1ec3b']; loss = -1.339673
+Epoch 4:   7%|███▊                                                     | 65/966 [02:18<31:58,  0.47it/s, v_num=s5n3]train step 3930; scene = ['dl3dv_1f5c364cecd746']; loss = -1.770466
+Epoch 4:   8%|████▍                                                    | 75/966 [02:39<31:29,  0.47it/s, v_num=s5n3]train step 3940; scene = ['dl3dv_b6971e10a8bdf5']; loss = -1.671673
+Epoch 4:   9%|█████                                                    | 85/966 [02:59<31:05,  0.47it/s, v_num=s5n3]train step 3950; scene = ['dl3dv_99219d050b1d48']; loss = -1.319922
+Epoch 4:  10%|█████▌                                                   | 95/966 [03:19<30:29,  0.48it/s, v_num=s5n3]train step 3960; scene = ['dl3dv_ad917151905cc0']; loss = -1.626426
+Epoch 4:  11%|██████                                                  | 105/966 [03:38<29:54,  0.48it/s, v_num=s5n3]train step 3970; scene = ['dl3dv_81207244620873']; loss = -1.765449
+Epoch 4:  12%|██████▋                                                 | 115/966 [03:59<29:31,  0.48it/s, v_num=s5n3]train step 3980; scene = ['dl3dv_d3c338404bc63f']; loss = -0.927462
+Epoch 4:  13%|███████▏                                                | 125/966 [04:18<29:02,  0.48it/s, v_num=s5n3]train step 3990; scene = ['dl3dv_df922b105406c7']; loss = -1.388109
+Epoch 4:  14%|███████▊                                                | 135/966 [04:38<28:36,  0.48it/s, v_num=s5n3]train step 4000; scene = ['dl3dv_baee08f261f718']; loss = -1.509137
+Epoch 4:  14%|███████▉                                                | 136/966 [04:50<29:35,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 4000; scene = ['room'];
+Epoch 4:  15%|████████▍                                               | 145/966 [05:21<30:18,  0.45it/s, v_num=s5n3]train step 4010; scene = ['dl3dv_b57a7b8f4c78c8']; loss = -1.657287
+Epoch 4:  16%|████████▉                                               | 155/966 [05:41<29:46,  0.45it/s, v_num=s5n3]train step 4020; scene = ['dl3dv_84e7a29bf753f6']; loss = -1.482780
+Epoch 4:  17%|█████████▌                                              | 165/966 [06:01<29:13,  0.46it/s, v_num=s5n3]train step 4030; scene = ['dl3dv_732477048948fa']; loss = -1.278032
+Epoch 4:  18%|██████████▏                                             | 175/966 [06:21<28:45,  0.46it/s, v_num=s5n3]train step 4040; scene = ['dl3dv_bf6f05dc346825']; loss = -1.224534
+Epoch 4:  19%|██████████▋                                             | 185/966 [06:42<28:17,  0.46it/s, v_num=s5n3]train step 4050; scene = ['dl3dv_075871bafd1dbe']; loss = -2.037132
+Epoch 4:  20%|███████████▎                                            | 195/966 [07:00<27:42,  0.46it/s, v_num=s5n3]train step 4060; scene = ['dl3dv_eee1f386978d49']; loss = -0.859615
+Epoch 4:  21%|███████████▉                                            | 205/966 [07:21<27:18,  0.46it/s, v_num=s5n3]train step 4070; scene = ['dl3dv_9ca887305c092b']; loss = -1.095166
+Epoch 4:  22%|████████████▍                                           | 215/966 [07:52<27:29,  0.46it/s, v_num=s5n3]train step 4080; scene = ['dl3dv_c12223e5a11164']; loss = -0.707094
+Epoch 4:  23%|█████████████                                           | 225/966 [08:11<26:59,  0.46it/s, v_num=s5n3]train step 4090; scene = ['dl3dv_dbeb7ff718da0c']; loss = -1.226782
+Epoch 4:  24%|█████████████▌                                          | 235/966 [08:31<26:31,  0.46it/s, v_num=s5n3]train step 4100; scene = ['dl3dv_169bb02044a0fd']; loss = -1.361958
+Epoch 4:  25%|██████████████▏                                         | 245/966 [08:51<26:05,  0.46it/s, v_num=s5n3]train step 4110; scene = ['dl3dv_7b041463069a1c']; loss = -1.028420
+Epoch 4:  26%|██████████████▊                                         | 255/966 [09:12<25:39,  0.46it/s, v_num=s5n3]train step 4120; scene = ['dl3dv_a19e9e8d14a70b']; loss = -1.468762
+Epoch 4:  27%|███████████████▎                                        | 265/966 [09:32<25:14,  0.46it/s, v_num=s5n3]train step 4130; scene = ['dl3dv_8cc921f841cf4f']; loss = -1.631748
+Epoch 4:  28%|███████████████▉                                        | 275/966 [09:51<24:46,  0.46it/s, v_num=s5n3]train step 4140; scene = ['dl3dv_a1e2208e07d051']; loss = -1.242520
+Epoch 4:  30%|████████████████▌                                       | 285/966 [10:11<24:20,  0.47it/s, v_num=s5n3]train step 4150; scene = ['dl3dv_1a9bd9e641bfab']; loss = -1.279817
+Epoch 4:  31%|█████████████████                                       | 295/966 [10:31<23:56,  0.47it/s, v_num=s5n3]train step 4160; scene = ['dl3dv_209fd8621bd33e']; loss = -0.618540
+Epoch 4:  32%|█████████████████▋                                      | 305/966 [10:50<23:30,  0.47it/s, v_num=s5n3]train step 4170; scene = ['dl3dv_2811d8c292cacc']; loss = -1.292836
+Epoch 4:  33%|██████████████████▎                                     | 315/966 [11:09<23:04,  0.47it/s, v_num=s5n3]train step 4180; scene = ['dl3dv_18889df723f3e4']; loss = -1.346166
+Epoch 4:  34%|██████████████████▊                                     | 325/966 [11:40<23:00,  0.46it/s, v_num=s5n3]train step 4190; scene = ['dl3dv_16bba6d01cd2d4', 'dl3dv_4f32f413641ed4']; loss = -1.240360
+Epoch 4:  35%|███████████████████▍                                    | 335/966 [12:00<22:36,  0.47it/s, v_num=s5n3]train step 4200; scene = ['dl3dv_c945a91d8f5bad']; loss = -0.746896
+Epoch 4:  36%|████████████████████                                    | 345/966 [12:26<22:24,  0.46it/s, v_num=s5n3]train step 4210; scene = ['dl3dv_8a178b70c0d1a8']; loss = -1.142810
+Epoch 4:  37%|████████████████████▌                                   | 355/966 [12:48<22:02,  0.46it/s, v_num=s5n3]train step 4220; scene = ['dl3dv_73e08c99f308f0']; loss = -1.140697
+Epoch 4:  38%|█████████████████████▏                                  | 365/966 [13:07<21:36,  0.46it/s, v_num=s5n3]train step 4230; scene = ['dl3dv_a6b518864bf49b']; loss = -1.553177
+Epoch 4:  39%|█████████████████████▋                                  | 375/966 [13:36<21:27,  0.46it/s, v_num=s5n3]train step 4240; scene = ['dl3dv_a3efe59e3f9e57']; loss = -0.322110
+Epoch 4:  40%|██████████████████████▎                                 | 385/966 [13:56<21:03,  0.46it/s, v_num=s5n3]train step 4250; scene = ['dl3dv_ad35c2ec542035']; loss = -1.203456
+Epoch 4:  41%|██████████████████████▉                                 | 395/966 [14:16<20:37,  0.46it/s, v_num=s5n3]train step 4260; scene = ['dl3dv_9ddc3b01af8b13']; loss = -1.462511
+Epoch 4:  42%|███████████████████████▍                                | 405/966 [14:36<20:13,  0.46it/s, v_num=s5n3]train step 4270; scene = ['dl3dv_1be473ec43a134']; loss = -1.804129
+Epoch 4:  43%|████████████████████████                                | 415/966 [14:55<19:48,  0.46it/s, v_num=s5n3]train step 4280; scene = ['dl3dv_2916df3aa3356b']; loss = -1.248816
+Epoch 4:  44%|████████████████████████▋                               | 425/966 [15:13<19:23,  0.47it/s, v_num=s5n3]train step 4290; scene = ['dl3dv_4195895d5ff9d9']; loss = -1.251810
+Epoch 4:  45%|█████████████████████████▏                              | 435/966 [15:32<18:58,  0.47it/s, v_num=s5n3]train step 4300; scene = ['dl3dv_8b6b68ab56e436']; loss = -1.292196
+Epoch 4:  46%|█████████████████████████▊                              | 445/966 [15:53<18:36,  0.47it/s, v_num=s5n3]train step 4310; scene = ['dl3dv_a50e9398db3411', 'dl3dv_dc455f8a6b1819', 'dl3dv_df94f4575a2e08', 'dl3dv_c07ac2cdc0dddc', 'dl3dv_8be51e445ffbdd', 'dl3dv_9bd87000a69130', 'dl3dv_56c5d4490bed13', 'dl3dv_63c05ec04a7722']; loss = -1.789774
+Epoch 4:  47%|██████████████████████████▍                             | 455/966 [16:12<18:12,  0.47it/s, v_num=s5n3]train step 4320; scene = ['dl3dv_0cdabb59cfd3e8']; loss = -1.377912
+Epoch 4:  48%|██████████████████████████▉                             | 465/966 [16:31<17:48,  0.47it/s, v_num=s5n3]train step 4330; scene = ['dl3dv_f469ba69322408']; loss = -0.827286
+Epoch 4:  49%|███████████████████████████▌                            | 475/966 [17:00<17:34,  0.47it/s, v_num=s5n3]train step 4340; scene = ['dl3dv_e9c36d9268ac69']; loss = -1.219795
+Epoch 4:  50%|████████████████████████████                            | 485/966 [17:20<17:11,  0.47it/s, v_num=s5n3]train step 4350; scene = ['dl3dv_635762cc5254c1']; loss = -1.342155
+Epoch 4:  51%|████████████████████████████▋                           | 495/966 [17:39<16:48,  0.47it/s, v_num=s5n3]train step 4360; scene = ['dl3dv_38ed0d3a7f1244']; loss = -0.444341
+Epoch 4:  52%|█████████████████████████████▎                          | 505/966 [17:59<16:25,  0.47it/s, v_num=s5n3]train step 4370; scene = ['dl3dv_da0ef9a1e3fc4c']; loss = -1.805722
+Epoch 4:  53%|█████████████████████████████▊                          | 515/966 [18:19<16:02,  0.47it/s, v_num=s5n3]train step 4380; scene = ['dl3dv_8f64ce01dc9d19']; loss = -0.791416
+Epoch 4:  54%|██████████████████████████████▍                         | 525/966 [18:38<15:39,  0.47it/s, v_num=s5n3]train step 4390; scene = ['dl3dv_4b9a4a0eb5101d']; loss = -0.531464
+Epoch 4:  55%|███████████████████████████████                         | 535/966 [18:56<15:15,  0.47it/s, v_num=s5n3]train step 4400; scene = ['dl3dv_e248fc308839b6']; loss = -1.837905
+Epoch 4:  56%|███████████████████████████████▌                        | 545/966 [19:23<14:59,  0.47it/s, v_num=s5n3]train step 4410; scene = ['dl3dv_f607cffacadec6']; loss = -0.821868
+Epoch 4:  57%|████████████████████████████████▏                       | 555/966 [19:43<14:36,  0.47it/s, v_num=s5n3]train step 4420; scene = ['dl3dv_9a5afbe7a02949', 'dl3dv_92e79ba3e0f4bd', 'dl3dv_4ffac73a6713dd']; loss = -1.601347
+Epoch 4:  58%|████████████████████████████████▊                       | 565/966 [20:02<14:13,  0.47it/s, v_num=s5n3]train step 4430; scene = ['dl3dv_634df6fb42b111']; loss = -0.910161
+Epoch 4:  60%|█████████████████████████████████▎                      | 575/966 [20:22<13:51,  0.47it/s, v_num=s5n3]train step 4440; scene = ['dl3dv_f27b47e12f5cb2']; loss = -1.589229
+Epoch 4:  61%|█████████████████████████████████▉                      | 585/966 [20:53<13:36,  0.47it/s, v_num=s5n3]train step 4450; scene = ['dl3dv_f0087eb94dc289', 'dl3dv_b2f244c2aa0a7a']; loss = -1.778998
+Epoch 4:  62%|██████████████████████████████████▍                     | 595/966 [21:13<13:13,  0.47it/s, v_num=s5n3]train step 4460; scene = ['dl3dv_efaa67b358025f']; loss = -1.596059
+Epoch 4:  63%|███████████████████████████████████                     | 605/966 [21:31<12:50,  0.47it/s, v_num=s5n3]train step 4470; scene = ['dl3dv_5d3edcbba75de3']; loss = -2.381305
+Epoch 4:  64%|███████████████████████████████████▋                    | 615/966 [22:00<12:33,  0.47it/s, v_num=s5n3]train step 4480; scene = ['dl3dv_59d0821c6a2631']; loss = -1.174145
+Epoch 4:  65%|████████████████████████████████████▏                   | 625/966 [22:19<12:10,  0.47it/s, v_num=s5n3]train step 4490; scene = ['dl3dv_ab8097e1113eba']; loss = -1.932042
+Epoch 4:  66%|████████████████████████████████████▊                   | 635/966 [22:39<11:48,  0.47it/s, v_num=s5n3]train step 4500; scene = ['dl3dv_72f0d61bc9e336']; loss = -1.078506
+Epoch 4:  66%|████████████████████████████████████▊                   | 636/966 [22:41<11:46,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 4500; scene = ['room'];
+Epoch 4:  67%|█████████████████████████████████████▍                  | 645/966 [23:11<11:32,  0.46it/s, v_num=s5n3]train step 4510; scene = ['dl3dv_3fa7de7b9c9e90', 'dl3dv_8c5abb93a29eca']; loss = -1.468129
+Epoch 4:  68%|█████████████████████████████████████▉                  | 655/966 [23:30<11:09,  0.46it/s, v_num=s5n3]train step 4520; scene = ['dl3dv_b7e7ab0f5c6bd0']; loss = -1.317471
+Epoch 4:  69%|██████████████████████████████████████▌                 | 665/966 [23:51<10:47,  0.46it/s, v_num=s5n3]train step 4530; scene = ['dl3dv_6318e20ae7aa01']; loss = -1.253885
+Epoch 4:  70%|███████████████████████████████████████▏                | 675/966 [24:10<10:25,  0.47it/s, v_num=s5n3]train step 4540; scene = ['dl3dv_474d66148992f1']; loss = -1.396564
+Epoch 4:  71%|███████████████████████████████████████▋                | 685/966 [24:29<10:02,  0.47it/s, v_num=s5n3]train step 4550; scene = ['dl3dv_ca0cd05c8df51e']; loss = -0.858216
+Epoch 4:  72%|████████████████████████████████████████▎               | 695/966 [24:48<09:40,  0.47it/s, v_num=s5n3]train step 4560; scene = ['dl3dv_59b42ea221d21a', 'dl3dv_46d0582bdf16aa']; loss = -1.089807
+Epoch 4:  73%|████████████████████████████████████████▊               | 705/966 [25:07<09:18,  0.47it/s, v_num=s5n3]train step 4570; scene = ['dl3dv_d5aeec1194f5de']; loss = -1.310756
+Epoch 4:  74%|█████████████████████████████████████████▍              | 715/966 [25:27<08:56,  0.47it/s, v_num=s5n3]train step 4580; scene = ['dl3dv_98cd64ea00fb20']; loss = -1.526388
+Epoch 4:  75%|██████████████████████████████████████████              | 725/966 [25:47<08:34,  0.47it/s, v_num=s5n3]train step 4590; scene = ['dl3dv_8bc938e9328ed4']; loss = -1.476527
+Epoch 4:  76%|██████████████████████████████████████████▌             | 735/966 [26:08<08:12,  0.47it/s, v_num=s5n3]train step 4600; scene = ['dl3dv_e99bf1299b9ed5']; loss = -0.691238
+Epoch 4:  77%|███████████████████████████████████████████▏            | 745/966 [26:34<07:52,  0.47it/s, v_num=s5n3]train step 4610; scene = ['dl3dv_d6983ea4ffc40a']; loss = -1.267276
+Epoch 4:  78%|███████████████████████████████████████████▊            | 755/966 [26:53<07:30,  0.47it/s, v_num=s5n3]train step 4620; scene = ['dl3dv_6a6f4fdf144d16']; loss = -1.311953
+Epoch 4:  79%|████████████████████████████████████████████▎           | 765/966 [27:12<07:08,  0.47it/s, v_num=s5n3]train step 4630; scene = ['dl3dv_9fe973dd91bad2', 'dl3dv_13474be3953dfa']; loss = -1.950851
+Epoch 4:  80%|████████████████████████████████████████████▉           | 775/966 [27:30<06:46,  0.47it/s, v_num=s5n3]train step 4640; scene = ['dl3dv_3a466c7e1fcde4']; loss = -0.606368
+Epoch 4:  81%|█████████████████████████████████████████████▌          | 785/966 [27:50<06:25,  0.47it/s, v_num=s5n3]train step 4650; scene = ['dl3dv_5e0630b1b8abb5']; loss = -1.645151
+Epoch 4:  82%|██████████████████████████████████████████████          | 795/966 [28:09<06:03,  0.47it/s, v_num=s5n3]train step 4660; scene = ['dl3dv_0a2e21aeea2e8c']; loss = -1.449815
+Epoch 4:  83%|██████████████████████████████████████████████▋         | 805/966 [28:29<05:41,  0.47it/s, v_num=s5n3]train step 4670; scene = ['dl3dv_bc960dd5c419af']; loss = -1.262116
+Epoch 4:  84%|███████████████████████████████████████████████▏        | 815/966 [28:50<05:20,  0.47it/s, v_num=s5n3]train step 4680; scene = ['dl3dv_2a17112c4c4671']; loss = -1.716037
+Epoch 4:  85%|███████████████████████████████████████████████▊        | 825/966 [29:10<04:59,  0.47it/s, v_num=s5n3]train step 4690; scene = ['dl3dv_431fe389b2cbd7']; loss = -1.099147
+Epoch 4:  86%|████████████████████████████████████████████████▍       | 835/966 [29:29<04:37,  0.47it/s, v_num=s5n3]train step 4700; scene = ['dl3dv_ab63904b2d84d0']; loss = -1.250149
+Epoch 4:  87%|████████████████████████████████████████████████▉       | 845/966 [29:48<04:16,  0.47it/s, v_num=s5n3]train step 4710; scene = ['dl3dv_4f3d8fb00ae9a2']; loss = -2.058272
+Epoch 4:  89%|█████████████████████████████████████████████████▌      | 855/966 [30:09<03:54,  0.47it/s, v_num=s5n3]train step 4720; scene = ['dl3dv_6a10df4a5b371c']; loss = -0.662077
+Epoch 4:  90%|██████████████████████████████████████████████████▏     | 865/966 [30:28<03:33,  0.47it/s, v_num=s5n3]train step 4730; scene = ['dl3dv_95c65b37f4c5d1', 'dl3dv_229828412cf677']; loss = -1.410913
+Epoch 4:  91%|██████████████████████████████████████████████████▋     | 875/966 [30:49<03:12,  0.47it/s, v_num=s5n3]train step 4740; scene = ['dl3dv_b9928ee1e6461b']; loss = -0.634843
+Epoch 4:  92%|███████████████████████████████████████████████████▎    | 885/966 [31:07<02:50,  0.47it/s, v_num=s5n3]train step 4750; scene = ['dl3dv_6f45914dd95afd']; loss = -1.488544
+Epoch 4:  93%|███████████████████████████████████████████████████▉    | 895/966 [31:36<02:30,  0.47it/s, v_num=s5n3]train step 4760; scene = ['dl3dv_6cb46fd0937698']; loss = -1.345278
+Epoch 4:  94%|████████████████████████████████████████████████████▍   | 905/966 [31:57<02:09,  0.47it/s, v_num=s5n3]train step 4770; scene = ['dl3dv_522e2383dc7146']; loss = -1.021518
+Epoch 4:  95%|█████████████████████████████████████████████████████   | 915/966 [32:16<01:47,  0.47it/s, v_num=s5n3]train step 4780; scene = ['dl3dv_37a844db239656']; loss = -0.836593
+Epoch 4:  96%|█████████████████████████████████████████████████████▌  | 925/966 [32:37<01:26,  0.47it/s, v_num=s5n3]train step 4790; scene = ['dl3dv_d0a84228d81539', 'dl3dv_a8c676d958778d']; loss = -1.646336
+Epoch 4:  97%|██████████████████████████████████████████████████████▏ | 935/966 [32:56<01:05,  0.47it/s, v_num=s5n3]train step 4800; scene = ['dl3dv_d69b583539a416']; loss = -1.801431
+Epoch 4:  98%|██████████████████████████████████████████████████████▊ | 945/966 [33:25<00:44,  0.47it/s, v_num=s5n3]train step 4810; scene = ['dl3dv_918f2a7f0e172c']; loss = -0.774256
+Epoch 4:  99%|███████████████████████████████████████████████████████▎| 955/966 [33:45<00:23,  0.47it/s, v_num=s5n3]train step 4820; scene = ['dl3dv_3387f6a34d4d48']; loss = -1.298823
+Epoch 4: 100%|███████████████████████████████████████████████████████▉| 965/966 [34:16<00:02,  0.47it/s, v_num=s5n3]train step 4830; scene = ['dl3dv_46b6a906c110c0']; loss = -1.342727
+Epoch 5:   1%|▌                                                         | 9/966 [00:16<28:37,  0.56it/s, v_num=s5n3]train step 4840; scene = ['dl3dv_f7e924857c04ef']; loss = -1.813081
+Epoch 5:   2%|█                                                        | 19/966 [00:36<30:25,  0.52it/s, v_num=s5n3]train step 4850; scene = ['dl3dv_e15eeec49aedbf']; loss = -1.280881
+Epoch 5:   3%|█▋                                                       | 29/966 [00:55<29:57,  0.52it/s, v_num=s5n3]train step 4860; scene = ['dl3dv_2915097206d379']; loss = -1.946211
+Epoch 5:   4%|██▎                                                      | 39/966 [01:14<29:38,  0.52it/s, v_num=s5n3]train step 4870; scene = ['dl3dv_0b96b99bb5b0b6']; loss = -1.492090
+Epoch 5:   5%|██▉                                                      | 49/966 [01:34<29:26,  0.52it/s, v_num=s5n3]train step 4880; scene = ['dl3dv_83c7379b8d598c']; loss = -1.416879
+Epoch 5:   6%|███▍                                                     | 59/966 [01:53<29:02,  0.52it/s, v_num=s5n3]train step 4890; scene = ['dl3dv_6ecbac7243f75c']; loss = -1.093123
+Epoch 5:   7%|████                                                     | 69/966 [02:13<28:57,  0.52it/s, v_num=s5n3]train step 4900; scene = ['dl3dv_bb4eb7f0bf2e47']; loss = -1.115486
+Epoch 5:   8%|████▋                                                    | 79/966 [02:34<28:49,  0.51it/s, v_num=s5n3]train step 4910; scene = ['dl3dv_9b05949b3fa6d9']; loss = -1.062787
+Epoch 5:   9%|█████▎                                                   | 89/966 [02:53<28:29,  0.51it/s, v_num=s5n3]train step 4920; scene = ['dl3dv_191ae553d7ee31']; loss = -0.943722
+Epoch 5:  10%|█████▊                                                   | 99/966 [03:13<28:10,  0.51it/s, v_num=s5n3]train step 4930; scene = ['dl3dv_0e4eceb57f0488']; loss = -1.835963
+Epoch 5:  11%|██████▎                                                 | 109/966 [03:33<27:57,  0.51it/s, v_num=s5n3]train step 4940; scene = ['dl3dv_726824ed6955fa']; loss = -1.011703
+Epoch 5:  12%|██████▉                                                 | 119/966 [03:53<27:41,  0.51it/s, v_num=s5n3]train step 4950; scene = ['dl3dv_a8d3b8ebd64366', 'dl3dv_f57f52a855043e']; loss = -1.497202
+Epoch 5:  13%|███████▍                                                | 129/966 [04:13<27:22,  0.51it/s, v_num=s5n3]train step 4960; scene = ['dl3dv_ca8fa4506de6ca']; loss = -1.184940
+Epoch 5:  14%|████████                                                | 139/966 [04:31<26:55,  0.51it/s, v_num=s5n3]train step 4970; scene = ['dl3dv_2a1491a2ece879']; loss = -0.927609
+Epoch 5:  15%|████████▋                                               | 149/966 [04:51<26:38,  0.51it/s, v_num=s5n3]train step 4980; scene = ['dl3dv_bb58a35d49bcda']; loss = -1.517246
+Epoch 5:  16%|█████████▏                                              | 159/966 [05:23<27:20,  0.49it/s, v_num=s5n3]train step 4990; scene = ['dl3dv_ae7145ceac4cf1']; loss = -0.862659
+Epoch 5:  17%|█████████▊                                              | 169/966 [05:42<26:56,  0.49it/s, v_num=s5n3]train step 5000; scene = ['dl3dv_6617cea92c0ed4']; loss = -0.623617
+Epoch 5:  18%|█████████▊                                              | 170/966 [05:52<27:30,  0.48it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 5000; scene = ['room'];
+Epoch 5:  19%|██████████▍                                             | 179/966 [06:23<28:04,  0.47it/s, v_num=s5n3]train step 5010; scene = ['dl3dv_4a4f49f04d5cd6']; loss = -1.275308
+Epoch 5:  20%|██████████▉                                             | 189/966 [06:42<27:32,  0.47it/s, v_num=s5n3]train step 5020; scene = ['dl3dv_80bf1bf8b3d5d1']; loss = -1.425231
+Epoch 5:  21%|███████████▌                                            | 199/966 [07:01<27:05,  0.47it/s, v_num=s5n3]train step 5030; scene = ['dl3dv_da045a510d1474']; loss = -1.695078
+Epoch 5:  22%|████████████                                            | 209/966 [07:21<26:40,  0.47it/s, v_num=s5n3]train step 5040; scene = ['dl3dv_b0db31f03f83e4']; loss = -1.475557
+Epoch 5:  23%|████████████▋                                           | 219/966 [07:40<26:11,  0.48it/s, v_num=s5n3]train step 5050; scene = ['dl3dv_1ba82e2a93f414']; loss = -1.223466
+Epoch 5:  24%|█████████████▎                                          | 229/966 [08:00<25:46,  0.48it/s, v_num=s5n3]train step 5060; scene = ['dl3dv_0943ca5b5e8402', 'dl3dv_4402f58ff15389']; loss = -1.530642
+Epoch 5:  25%|█████████████▊                                          | 239/966 [08:20<25:23,  0.48it/s, v_num=s5n3]train step 5070; scene = ['dl3dv_16cd2fd262f8e8']; loss = -1.708179
+Epoch 5:  26%|██████████████▍                                         | 249/966 [08:40<24:57,  0.48it/s, v_num=s5n3]train step 5080; scene = ['dl3dv_e4b2946f0fb196']; loss = -1.466989
+Epoch 5:  27%|███████████████                                         | 259/966 [08:59<24:32,  0.48it/s, v_num=s5n3]train step 5090; scene = ['dl3dv_414820827c435b']; loss = -1.270337
+Epoch 5:  28%|███████████████▌                                        | 269/966 [09:19<24:08,  0.48it/s, v_num=s5n3]train step 5100; scene = ['dl3dv_71506793d67362']; loss = -0.843947
+Epoch 5:  29%|████████████████▏                                       | 279/966 [09:46<24:04,  0.48it/s, v_num=s5n3]train step 5110; scene = ['dl3dv_5a6f09d1b28237']; loss = -1.326972
+Epoch 5:  30%|████████████████▊                                       | 289/966 [10:04<23:37,  0.48it/s, v_num=s5n3]train step 5120; scene = ['dl3dv_18889df723f3e4']; loss = -1.270574
+Epoch 5:  31%|█████████████████▎                                      | 299/966 [10:23<23:10,  0.48it/s, v_num=s5n3]train step 5130; scene = ['dl3dv_ae83db9ff9a7e7']; loss = -1.035470
+Epoch 5:  32%|█████████████████▉                                      | 309/966 [10:42<22:46,  0.48it/s, v_num=s5n3]train step 5140; scene = ['dl3dv_99ce534e28039b']; loss = -1.094990
+Epoch 5:  33%|██████████████████▍                                     | 319/966 [11:01<22:22,  0.48it/s, v_num=s5n3]train step 5150; scene = ['dl3dv_23379de431f067']; loss = -1.460871
+Epoch 5:  34%|███████████████████                                     | 329/966 [11:30<22:16,  0.48it/s, v_num=s5n3]train step 5160; scene = ['dl3dv_6fcf98f309844c']; loss = -1.136330
+Epoch 5:  35%|███████████████████▋                                    | 339/966 [11:50<21:54,  0.48it/s, v_num=s5n3]train step 5170; scene = ['dl3dv_d555c421873123']; loss = -1.384820
+Epoch 5:  36%|████████████████████▏                                   | 349/966 [12:11<21:32,  0.48it/s, v_num=s5n3]train step 5180; scene = ['dl3dv_5716af42f9099e', 'dl3dv_2b3e99de4cbbb3', 'dl3dv_08ae0fa97c34f6', 'dl3dv_dc7ca72b964a95']; loss = -1.908824
+Epoch 5:  37%|████████████████████▊                                   | 359/966 [12:31<21:09,  0.48it/s, v_num=s5n3]train step 5190; scene = ['dl3dv_adc5cd8396b2fc', 'dl3dv_6beafc678d32ce']; loss = -1.321956
+Epoch 5:  38%|█████████████████████▍                                  | 369/966 [12:51<20:48,  0.48it/s, v_num=s5n3]train step 5200; scene = ['dl3dv_a621748d87a0d9']; loss = -1.389897
+Epoch 5:  39%|█████████████████████▉                                  | 379/966 [13:17<20:34,  0.48it/s, v_num=s5n3]train step 5210; scene = ['dl3dv_19cdec8ab2d126']; loss = -0.946051
+Epoch 5:  40%|██████████████████████▌                                 | 389/966 [13:37<20:12,  0.48it/s, v_num=s5n3]train step 5220; scene = ['dl3dv_b627098eecdf1e']; loss = -1.743926
+Epoch 5:  41%|███████████████████████▏                                | 399/966 [13:58<19:51,  0.48it/s, v_num=s5n3]train step 5230; scene = ['dl3dv_4527811824e13b']; loss = -1.477156
+Epoch 5:  42%|███████████████████████▋                                | 409/966 [14:18<19:28,  0.48it/s, v_num=s5n3]train step 5240; scene = ['dl3dv_825e90183ae19a']; loss = -1.270122
+Epoch 5:  43%|████████████████████████▎                               | 419/966 [14:37<19:05,  0.48it/s, v_num=s5n3]train step 5250; scene = ['dl3dv_cd461070532350']; loss = -1.938232
+Epoch 5:  44%|████████████████████████▊                               | 429/966 [15:05<18:52,  0.47it/s, v_num=s5n3]train step 5260; scene = ['dl3dv_5e0eebb9666110']; loss = -1.165845
+Epoch 5:  45%|█████████████████████████▍                              | 439/966 [15:25<18:31,  0.47it/s, v_num=s5n3]train step 5270; scene = ['dl3dv_526920bcac9a11']; loss = -1.979852
+Epoch 5:  46%|██████████████████████████                              | 449/966 [15:46<18:09,  0.47it/s, v_num=s5n3]train step 5280; scene = ['dl3dv_47c328cf8b8127']; loss = -1.136966
+Epoch 5:  48%|██████████████████████████▌                             | 459/966 [16:06<17:47,  0.47it/s, v_num=s5n3]train step 5290; scene = ['dl3dv_0010315801d030']; loss = -1.321192
+Epoch 5:  49%|███████████████████████████▏                            | 469/966 [16:26<17:25,  0.48it/s, v_num=s5n3]train step 5300; scene = ['dl3dv_6dd7c4a0e624ad']; loss = -1.578013
+Epoch 5:  50%|███████████████████████████▊                            | 479/966 [16:46<17:03,  0.48it/s, v_num=s5n3]train step 5310; scene = ['dl3dv_32c074d73510a6']; loss = -0.957307
+Epoch 5:  51%|████████████████████████████▎                           | 489/966 [17:05<16:40,  0.48it/s, v_num=s5n3]train step 5320; scene = ['dl3dv_c0cdfe73b18a4d']; loss = -1.565404
+Epoch 5:  52%|████████████████████████████▉                           | 499/966 [17:26<16:19,  0.48it/s, v_num=s5n3]train step 5330; scene = ['dl3dv_63e167903e5526', 'dl3dv_f35f840e523354']; loss = -1.647106
+Epoch 5:  53%|█████████████████████████████▌                          | 509/966 [17:44<15:56,  0.48it/s, v_num=s5n3]train step 5340; scene = ['dl3dv_61e8e3e3a249c4']; loss = -2.042303
+Epoch 5:  54%|██████████████████████████████                          | 519/966 [18:04<15:34,  0.48it/s, v_num=s5n3]train step 5350; scene = ['dl3dv_def374b9349cb7']; loss = -1.024645
+Epoch 5:  55%|██████████████████████████████▋                         | 529/966 [18:26<15:13,  0.48it/s, v_num=s5n3]train step 5360; scene = ['dl3dv_081ef73814f12f']; loss = -0.944611
+Epoch 5:  56%|███████████████████████████████▏                        | 539/966 [18:55<14:59,  0.47it/s, v_num=s5n3]train step 5370; scene = ['dl3dv_3f1da076b1a3b4', 'dl3dv_3db7e5d3d7337f']; loss = -1.755269
+Epoch 5:  57%|███████████████████████████████▊                        | 549/966 [19:16<14:38,  0.47it/s, v_num=s5n3]train step 5380; scene = ['dl3dv_3a1254bf4346d7']; loss = -1.432079
+Epoch 5:  58%|████████████████████████████████▍                       | 559/966 [19:45<14:22,  0.47it/s, v_num=s5n3]train step 5390; scene = ['dl3dv_4ffac73a6713dd']; loss = -1.880675
+Epoch 5:  59%|████████████████████████████████▉                       | 569/966 [20:05<14:00,  0.47it/s, v_num=s5n3]train step 5400; scene = ['dl3dv_634df6fb42b111']; loss = -1.114041
+Epoch 5:  60%|█████████████████████████████████▌                      | 579/966 [20:30<13:42,  0.47it/s, v_num=s5n3]train step 5410; scene = ['dl3dv_2bfcf4b343836f']; loss = -1.659929
+Epoch 5:  61%|██████████████████████████████████▏                     | 589/966 [20:49<13:19,  0.47it/s, v_num=s5n3]train step 5420; scene = ['dl3dv_7f8772f6ed006a']; loss = -2.113951
+Epoch 5:  62%|██████████████████████████████████▋                     | 599/966 [21:09<12:57,  0.47it/s, v_num=s5n3]train step 5430; scene = ['dl3dv_da2a18a94405b3']; loss = -1.634319
+Epoch 5:  63%|███████████████████████████████████▎                    | 609/966 [21:28<12:35,  0.47it/s, v_num=s5n3]train step 5440; scene = ['dl3dv_9a451604b8d258']; loss = -1.648903
+Epoch 5:  64%|███████████████████████████████████▉                    | 619/966 [21:47<12:13,  0.47it/s, v_num=s5n3]train step 5450; scene = ['dl3dv_9ef2d6108f4ac8', 'dl3dv_e77df5139dd791']; loss = -1.816719
+Epoch 5:  65%|████████████████████████████████████▍                   | 629/966 [22:07<11:51,  0.47it/s, v_num=s5n3]train step 5460; scene = ['dl3dv_6393e1d91ca3bd']; loss = -1.428641
+Epoch 5:  66%|█████████████████████████████████████                   | 639/966 [22:27<11:29,  0.47it/s, v_num=s5n3]train step 5470; scene = ['dl3dv_97f72cff0be966', 'dl3dv_ab8097e1113eba', 'dl3dv_2ccda28db4bd80']; loss = -1.784160
+Epoch 5:  67%|█████████████████████████████████████▌                  | 649/966 [22:46<11:07,  0.47it/s, v_num=s5n3]train step 5480; scene = ['dl3dv_0c0d375f17394d']; loss = -1.396875
+Epoch 5:  68%|██████████████████████████████████████▏                 | 659/966 [23:07<10:46,  0.48it/s, v_num=s5n3]train step 5490; scene = ['dl3dv_725cf6b91477a9', 'dl3dv_8fd2f90fcd1696', 'dl3dv_70ac7caa47eaf8', 'dl3dv_94691ba17e7ccb']; loss = -1.729940
+Epoch 5:  69%|██████████████████████████████████████▊                 | 669/966 [23:26<10:24,  0.48it/s, v_num=s5n3]train step 5500; scene = ['dl3dv_f080ed61285ea7', 'dl3dv_8b10789be3fa80', 'dl3dv_723e4648d084aa', 'dl3dv_2198f5cc577539']; loss = -1.620039
+Epoch 5:  69%|██████████████████████████████████████▊                 | 670/966 [23:28<10:22,  0.48it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 5500; scene = ['room'];
+Epoch 5:  70%|███████████████████████████████████████▎                | 679/966 [24:00<10:08,  0.47it/s, v_num=s5n3]train step 5510; scene = ['dl3dv_9407ecd2a5a5b7']; loss = -1.055154
+Epoch 5:  71%|███████████████████████████████████████▉                | 689/966 [24:20<09:46,  0.47it/s, v_num=s5n3]train step 5520; scene = ['dl3dv_299fa251f44520']; loss = -0.412164
+Epoch 5:  72%|████████████████████████████████████████▌               | 699/966 [24:38<09:24,  0.47it/s, v_num=s5n3]train step 5530; scene = ['dl3dv_0e504315d431ac']; loss = -1.960825
+Epoch 5:  73%|█████████████████████████████████████████               | 709/966 [24:57<09:02,  0.47it/s, v_num=s5n3]train step 5540; scene = ['dl3dv_6013f50041ae62']; loss = -1.587179
+Epoch 5:  74%|█████████████████████████████████████████▋              | 719/966 [25:16<08:41,  0.47it/s, v_num=s5n3]train step 5550; scene = ['dl3dv_e0a5470d1f203b']; loss = -1.966991
+Epoch 5:  75%|██████████████████████████████████████████▎             | 729/966 [25:35<08:19,  0.47it/s, v_num=s5n3]train step 5560; scene = ['dl3dv_f6fd68a35ac970']; loss = -1.136125
+Epoch 5:  77%|██████████████████████████████████████████▊             | 739/966 [25:57<07:58,  0.47it/s, v_num=s5n3]train step 5570; scene = ['dl3dv_8e54b020fd3c31']; loss = -1.141791
+Epoch 5:  78%|███████████████████████████████████████████▍            | 749/966 [26:17<07:37,  0.47it/s, v_num=s5n3]train step 5580; scene = ['dl3dv_f256b7659ee09c']; loss = -0.935691
+Epoch 5:  79%|████████████████████████████████████████████            | 759/966 [26:35<07:15,  0.48it/s, v_num=s5n3]train step 5590; scene = ['dl3dv_e99bf1299b9ed5']; loss = -0.854435
+Epoch 5:  80%|████████████████████████████████████████████▌           | 769/966 [26:55<06:53,  0.48it/s, v_num=s5n3]train step 5600; scene = ['dl3dv_d527e20649c770']; loss = -1.490570
+Epoch 5:  81%|█████████████████████████████████████████████▏          | 779/966 [27:24<06:34,  0.47it/s, v_num=s5n3]train step 5610; scene = ['dl3dv_52cbbc608ab124']; loss = -1.798280
+Epoch 5:  82%|█████████████████████████████████████████████▋          | 789/966 [27:44<06:13,  0.47it/s, v_num=s5n3]train step 5620; scene = ['dl3dv_d227f5b7857fde']; loss = -1.085634
+Epoch 5:  83%|██████████████████████████████████████████████▎         | 799/966 [28:04<05:52,  0.47it/s, v_num=s5n3]train step 5630; scene = ['dl3dv_e397c6ab9c4e8b']; loss = -1.230564
+Epoch 5:  84%|██████████████████████████████████████████████▉         | 809/966 [28:24<05:30,  0.47it/s, v_num=s5n3]train step 5640; scene = ['dl3dv_8faaf2156c80bd']; loss = -1.181650
+Epoch 5:  85%|███████████████████████████████████████████████▍        | 819/966 [28:44<05:09,  0.47it/s, v_num=s5n3]train step 5650; scene = ['dl3dv_efa3c7402c62c3']; loss = -1.437621
+Epoch 5:  86%|████████████████████████████████████████████████        | 829/966 [29:03<04:48,  0.48it/s, v_num=s5n3]train step 5660; scene = ['dl3dv_6e53c6372e2b4e']; loss = -0.745530
+Epoch 5:  87%|████████████████████████████████████████████████▋       | 839/966 [29:32<04:28,  0.47it/s, v_num=s5n3]train step 5670; scene = ['dl3dv_079fa662f29b06']; loss = -1.787325
+Epoch 5:  88%|█████████████████████████████████████████████████▏      | 849/966 [29:52<04:06,  0.47it/s, v_num=s5n3]train step 5680; scene = ['dl3dv_18691ec0a083de']; loss = -1.731807
+Epoch 5:  89%|█████████████████████████████████████████████████▊      | 859/966 [30:11<03:45,  0.47it/s, v_num=s5n3]train step 5690; scene = ['dl3dv_e8536925aa7a2b']; loss = -1.215307
+Epoch 5:  90%|██████████████████████████████████████████████████▍     | 869/966 [30:31<03:24,  0.47it/s, v_num=s5n3]train step 5700; scene = ['dl3dv_908a6d252e62f0']; loss = -0.660224
+Epoch 5:  91%|██████████████████████████████████████████████████▉     | 879/966 [30:51<03:03,  0.47it/s, v_num=s5n3]train step 5710; scene = ['dl3dv_25ef179c7c3c5f']; loss = -1.472035
+Epoch 5:  92%|███████████████████████████████████████████████████▌    | 889/966 [31:11<02:42,  0.48it/s, v_num=s5n3]train step 5720; scene = ['dl3dv_3fcfe7731d0d67']; loss = -2.183573
+Epoch 5:  93%|████████████████████████████████████████████████████    | 899/966 [31:30<02:20,  0.48it/s, v_num=s5n3]train step 5730; scene = ['dl3dv_4bfb56875a6e29']; loss = -1.669000
+Epoch 5:  94%|████████████████████████████████████████████████████▋   | 909/966 [31:50<01:59,  0.48it/s, v_num=s5n3]train step 5740; scene = ['dl3dv_a109c57929545a']; loss = -1.171410
+Epoch 5:  95%|█████████████████████████████████████████████████████▎  | 919/966 [32:22<01:39,  0.47it/s, v_num=s5n3]train step 5750; scene = ['dl3dv_91134d978e310f']; loss = -1.340978
+Epoch 5:  96%|█████████████████████████████████████████████████████▊  | 929/966 [32:43<01:18,  0.47it/s, v_num=s5n3]train step 5760; scene = ['dl3dv_be15844e35d367']; loss = -0.534343
+Epoch 5:  97%|██████████████████████████████████████████████████████▍ | 939/966 [33:02<00:57,  0.47it/s, v_num=s5n3]train step 5770; scene = ['dl3dv_a1b2e0dbf8f4cb']; loss = -1.122095
+Epoch 5:  98%|███████████████████████████████████████████████████████ | 949/966 [33:21<00:35,  0.47it/s, v_num=s5n3]train step 5780; scene = ['dl3dv_9aae8ae4d5ad1d']; loss = -1.431145
+Epoch 5:  99%|███████████████████████████████████████████████████████▌| 959/966 [33:40<00:14,  0.47it/s, v_num=s5n3]train step 5790; scene = ['dl3dv_ed2b530d8b42cc']; loss = -1.038367
+Epoch 6:   0%|▏                                                         | 3/966 [00:05<27:46,  0.58it/s, v_num=s5n3]train step 5800; scene = ['dl3dv_b5822a565a3749']; loss = -1.157536
+Epoch 6:   1%|▊                                                        | 13/966 [00:36<44:20,  0.36it/s, v_num=s5n3]train step 5810; scene = ['dl3dv_8cae3b336b96fd']; loss = -1.516250
+Epoch 6:   2%|█▎                                                       | 23/966 [00:56<38:47,  0.41it/s, v_num=s5n3]train step 5820; scene = ['dl3dv_bb1e9bcfaf2639']; loss = -0.942925
+Epoch 6:   3%|█▉                                                       | 33/966 [01:16<35:52,  0.43it/s, v_num=s5n3]train step 5830; scene = ['dl3dv_b485b78e842f3b']; loss = -0.980048
+Epoch 6:   4%|██▌                                                      | 43/966 [01:35<34:03,  0.45it/s, v_num=s5n3]train step 5840; scene = ['dl3dv_17d684222ad9a9']; loss = -1.766832
+Epoch 6:   5%|███▏                                                     | 53/966 [01:55<33:17,  0.46it/s, v_num=s5n3]train step 5850; scene = ['dl3dv_1ea260764a123b']; loss = -1.543601
+Epoch 6:   7%|███▋                                                     | 63/966 [02:15<32:28,  0.46it/s, v_num=s5n3]train step 5860; scene = ['dl3dv_e209a091c1ec3b']; loss = -0.851594
+Epoch 6:   8%|████▎                                                    | 73/966 [02:34<31:35,  0.47it/s, v_num=s5n3]train step 5870; scene = ['dl3dv_b7508a13d134eb', 'dl3dv_90a06c87b2a70a', 'dl3dv_4fbfd34fd694f5', 'dl3dv_6af6a850bc9769', 'dl3dv_42cfc1442ff4df', 'dl3dv_0f8edc01e239a5', 'dl3dv_1f5c364cecd746', 'dl3dv_739e7033719d15']; loss = -1.731418
+Epoch 6:   9%|████▉                                                    | 83/966 [02:55<31:04,  0.47it/s, v_num=s5n3]train step 5880; scene = ['dl3dv_eeb037b0b7b885']; loss = -1.170171
+Epoch 6:  10%|█████▍                                                   | 93/966 [03:14<30:26,  0.48it/s, v_num=s5n3]train step 5890; scene = ['dl3dv_8e5ec29f81e6ad']; loss = -1.304168
+Epoch 6:  11%|█████▉                                                  | 103/966 [03:34<29:53,  0.48it/s, v_num=s5n3]train step 5900; scene = ['dl3dv_9b05949b3fa6d9']; loss = -1.381035
+Epoch 6:  12%|██████▌                                                 | 113/966 [04:03<30:35,  0.46it/s, v_num=s5n3]train step 5910; scene = ['dl3dv_191ae553d7ee31', 'dl3dv_607a1d646a8c13']; loss = -1.487459
+Epoch 6:  13%|███████▏                                                | 123/966 [04:23<30:04,  0.47it/s, v_num=s5n3]train step 5920; scene = ['dl3dv_f0012be5a74d6e']; loss = -1.465820
+Epoch 6:  14%|███████▋                                                | 133/966 [04:43<29:35,  0.47it/s, v_num=s5n3]train step 5930; scene = ['dl3dv_6f3ee2a0f5da49', 'dl3dv_fdb508e5737c08']; loss = -1.459440
+Epoch 6:  15%|████████▎                                               | 143/966 [05:04<29:09,  0.47it/s, v_num=s5n3]train step 5940; scene = ['dl3dv_bb733d222435fb']; loss = -0.617483
+Epoch 6:  16%|████████▊                                               | 153/966 [05:24<28:42,  0.47it/s, v_num=s5n3]train step 5950; scene = ['dl3dv_b57a7b8f4c78c8']; loss = -1.748738
+Epoch 6:  17%|█████████▍                                              | 163/966 [05:44<28:15,  0.47it/s, v_num=s5n3]train step 5960; scene = ['dl3dv_e10d3d87d9a21d', 'dl3dv_78688bb1576e53']; loss = -1.473813
+Epoch 6:  18%|██████████                                              | 173/966 [06:02<27:43,  0.48it/s, v_num=s5n3]train step 5970; scene = ['dl3dv_98df477b2a4c5a']; loss = -1.496178
+Epoch 6:  19%|██████████▌                                             | 183/966 [06:22<27:16,  0.48it/s, v_num=s5n3]train step 5980; scene = ['dl3dv_71145db754da9d']; loss = -1.431901
+Epoch 6:  20%|███████████▏                                            | 193/966 [06:41<26:48,  0.48it/s, v_num=s5n3]train step 5990; scene = ['dl3dv_40b5b6f0827ebb', 'dl3dv_3ddf6b67310d26']; loss = -1.296222
+Epoch 6:  21%|███████████▊                                            | 203/966 [07:00<26:21,  0.48it/s, v_num=s5n3]train step 6000; scene = ['dl3dv_eee1f386978d49']; loss = -1.347856
+Epoch 6:  21%|███████████▊                                            | 204/966 [07:09<26:45,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 6000; scene = ['room'];
+Epoch 6:  22%|████████████▎                                           | 213/966 [07:39<27:06,  0.46it/s, v_num=s5n3]train step 6010; scene = ['dl3dv_c3f5509355177c']; loss = -1.962198
+Epoch 6:  23%|████████████▉                                           | 223/966 [07:59<26:39,  0.46it/s, v_num=s5n3]train step 6020; scene = ['dl3dv_a0644b62c54052']; loss = -1.696979
+Epoch 6:  24%|█████████████▌                                          | 233/966 [08:31<26:48,  0.46it/s, v_num=s5n3]train step 6030; scene = ['dl3dv_b0db31f03f83e4', 'dl3dv_de3d55501a5d56']; loss = -1.578149
+Epoch 6:  25%|██████████████                                          | 243/966 [08:51<26:22,  0.46it/s, v_num=s5n3]train step 6040; scene = ['dl3dv_0795f803444058']; loss = -1.118866
+Epoch 6:  26%|██████████████▋                                         | 253/966 [09:11<25:54,  0.46it/s, v_num=s5n3]train step 6050; scene = ['dl3dv_54361b0d9febeb']; loss = -1.060411
+Epoch 6:  27%|███████████████▏                                        | 263/966 [09:31<25:27,  0.46it/s, v_num=s5n3]train step 6060; scene = ['dl3dv_f7a6b8b1052c57']; loss = -0.878556
+Epoch 6:  28%|███████████████▊                                        | 273/966 [09:51<25:00,  0.46it/s, v_num=s5n3]train step 6070; scene = ['dl3dv_f8b9cce57a3a74']; loss = -1.721462
+Epoch 6:  29%|████████████████▍                                       | 283/966 [10:21<24:58,  0.46it/s, v_num=s5n3]train step 6080; scene = ['dl3dv_427d58201f5291']; loss = -1.044317
+Epoch 6:  30%|████████████████▉                                       | 293/966 [10:39<24:28,  0.46it/s, v_num=s5n3]train step 6090; scene = ['dl3dv_d16edd49ab8c37', 'dl3dv_4b0f684e4fff72', 'dl3dv_efce02dd30f26f', 'dl3dv_1a9bd9e641bfab']; loss = -1.197588
+Epoch 6:  31%|█████████████████▌                                      | 303/966 [10:58<24:00,  0.46it/s, v_num=s5n3]train step 6100; scene = ['dl3dv_209fd8621bd33e']; loss = -0.802057
+Epoch 6:  32%|██████████████████▏                                     | 313/966 [11:18<23:35,  0.46it/s, v_num=s5n3]train step 6110; scene = ['dl3dv_2811d8c292cacc']; loss = -1.418528
+Epoch 6:  33%|██████████████████▋                                     | 323/966 [11:37<23:09,  0.46it/s, v_num=s5n3]train step 6120; scene = ['dl3dv_68ac8d473fe630']; loss = -0.972810
+Epoch 6:  34%|███████████████████▎                                    | 333/966 [11:57<22:44,  0.46it/s, v_num=s5n3]train step 6130; scene = ['dl3dv_682000f76389a4']; loss = -1.180478
+Epoch 6:  36%|███████████████████▉                                    | 343/966 [12:18<22:22,  0.46it/s, v_num=s5n3]train step 6140; scene = ['dl3dv_52652361abbf76', 'dl3dv_a3715898ee7c2f']; loss = -1.771936
+Epoch 6:  37%|████████████████████▍                                   | 353/966 [12:38<21:56,  0.47it/s, v_num=s5n3]train step 6150; scene = ['dl3dv_4ffa8b944802f7']; loss = -1.761962
+Epoch 6:  38%|█████████████████████                                   | 363/966 [12:57<21:31,  0.47it/s, v_num=s5n3]train step 6160; scene = ['dl3dv_10c3b0812712dc']; loss = -0.896406
+Epoch 6:  39%|█████████████████████▌                                  | 373/966 [13:26<21:22,  0.46it/s, v_num=s5n3]train step 6170; scene = ['dl3dv_6fbb0354e2b939']; loss = -1.273138
+Epoch 6:  40%|██████████████████████▏                                 | 383/966 [13:46<20:58,  0.46it/s, v_num=s5n3]train step 6180; scene = ['dl3dv_08ae0fa97c34f6']; loss = -1.268889
+Epoch 6:  41%|██████████████████████▊                                 | 393/966 [14:06<20:33,  0.46it/s, v_num=s5n3]train step 6190; scene = ['dl3dv_ddb2f9a0d741b4']; loss = -1.458248
+Epoch 6:  42%|███████████████████████▎                                | 403/966 [14:25<20:08,  0.47it/s, v_num=s5n3]train step 6200; scene = ['dl3dv_8dcd0ada599b8f']; loss = -1.429098
+Epoch 6:  43%|███████████████████████▉                                | 413/966 [14:57<20:02,  0.46it/s, v_num=s5n3]train step 6210; scene = ['dl3dv_102c7f3888fb89']; loss = -1.173435
+Epoch 6:  44%|████████████████████████▌                               | 423/966 [15:19<19:40,  0.46it/s, v_num=s5n3]train step 6220; scene = ['dl3dv_61acc3a13531e0']; loss = -0.879385
+Epoch 6:  45%|█████████████████████████                               | 433/966 [15:38<19:14,  0.46it/s, v_num=s5n3]train step 6230; scene = ['dl3dv_50eff098046cb0']; loss = -1.530845
+Epoch 6:  46%|█████████████████████████▋                              | 443/966 [15:57<18:50,  0.46it/s, v_num=s5n3]train step 6240; scene = ['dl3dv_69bc642376e423']; loss = -0.832618
+Epoch 6:  47%|██████████████████████████▎                             | 453/966 [16:17<18:27,  0.46it/s, v_num=s5n3]train step 6250; scene = ['dl3dv_3258bc2a899068']; loss = -1.117450
+Epoch 6:  48%|██████████████████████████▊                             | 463/966 [16:38<18:04,  0.46it/s, v_num=s5n3]train step 6260; scene = ['dl3dv_dc455f8a6b1819']; loss = -1.126637
+Epoch 6:  49%|███████████████████████████▍                            | 473/966 [16:59<17:42,  0.46it/s, v_num=s5n3]train step 6270; scene = ['dl3dv_0c57b28a71afab', 'dl3dv_bd368b54e75b22']; loss = -1.699958
+Epoch 6:  50%|████████████████████████████                            | 483/966 [17:28<17:28,  0.46it/s, v_num=s5n3]train step 6280; scene = ['dl3dv_f1db93153f214d']; loss = -0.967650
+Epoch 6:  51%|████████████████████████████▌                           | 493/966 [17:47<17:04,  0.46it/s, v_num=s5n3]train step 6290; scene = ['dl3dv_c814fcd6d986ce', 'dl3dv_62f3a1d6da8e55']; loss = -1.493185
+Epoch 6:  52%|█████████████████████████████▏                          | 503/966 [18:08<16:41,  0.46it/s, v_num=s5n3]train step 6300; scene = ['dl3dv_dfc5dcb12480a1', 'dl3dv_4f99b0e330974b']; loss = -1.897996
+Epoch 6:  53%|█████████████████████████████▋                          | 513/966 [18:36<16:25,  0.46it/s, v_num=s5n3]train step 6310; scene = ['dl3dv_904d19b28abacb']; loss = -1.671822
+Epoch 6:  54%|██████████████████████████████▎                         | 523/966 [18:56<16:03,  0.46it/s, v_num=s5n3]train step 6320; scene = ['dl3dv_f43cf0af2d44e6']; loss = -1.169223
+Epoch 6:  55%|██████████████████████████████▉                         | 533/966 [19:17<15:40,  0.46it/s, v_num=s5n3]train step 6330; scene = ['dl3dv_2a2fae81540552']; loss = -0.768631
+Epoch 6:  56%|███████████████████████████████▍                        | 543/966 [19:36<15:16,  0.46it/s, v_num=s5n3]train step 6340; scene = ['dl3dv_4e2eab2d08445c']; loss = -0.902162
+Epoch 6:  57%|████████████████████████████████                        | 553/966 [19:54<14:52,  0.46it/s, v_num=s5n3]train step 6350; scene = ['dl3dv_ac05634e8f9f50']; loss = -0.845841
+Epoch 6:  58%|████████████████████████████████▋                       | 563/966 [20:14<14:29,  0.46it/s, v_num=s5n3]train step 6360; scene = ['dl3dv_aad97ba714ecfe', 'dl3dv_c3870941c02697', 'dl3dv_9c3d26601abb53', 'dl3dv_77bba340488bd1', 'dl3dv_804644909d1eb7', 'dl3dv_9eb66d4e96f459', 'dl3dv_081ef73814f12f', 'dl3dv_3267fa25883408']; loss = -1.793861
+Epoch 6:  59%|█████████████████████████████████▏                      | 573/966 [20:34<14:06,  0.46it/s, v_num=s5n3]train step 6370; scene = ['dl3dv_6ee533d44566c6']; loss = -1.527368
+Epoch 6:  60%|█████████████████████████████████▊                      | 583/966 [20:55<13:44,  0.46it/s, v_num=s5n3]train step 6380; scene = ['dl3dv_415923d5e7c79e']; loss = -1.807313
+Epoch 6:  61%|██████████████████████████████████▍                     | 593/966 [21:13<13:21,  0.47it/s, v_num=s5n3]train step 6390; scene = ['dl3dv_35122ec333dc84']; loss = -1.652372
+Epoch 6:  62%|██████████████████████████████████▉                     | 603/966 [21:33<12:58,  0.47it/s, v_num=s5n3]train step 6400; scene = ['dl3dv_cb216489658310']; loss = -1.494900
+Epoch 6:  63%|███████████████████████████████████▌                    | 613/966 [21:58<12:39,  0.46it/s, v_num=s5n3]train step 6410; scene = ['dl3dv_520e4f722d9474']; loss = -2.159154
+Epoch 6:  64%|████████████████████████████████████                    | 623/966 [22:16<12:15,  0.47it/s, v_num=s5n3]train step 6420; scene = ['dl3dv_04e10728a72872', 'dl3dv_68b950bcea5402', 'dl3dv_f27b47e12f5cb2', 'dl3dv_f385e57335d969']; loss = -1.862242
+Epoch 6:  66%|████████████████████████████████████▋                   | 633/966 [22:35<11:53,  0.47it/s, v_num=s5n3]train step 6430; scene = ['dl3dv_b2f244c2aa0a7a']; loss = -1.774996
+Epoch 6:  67%|█████████████████████████████████████▎                  | 643/966 [22:56<11:31,  0.47it/s, v_num=s5n3]train step 6440; scene = ['dl3dv_fdd2ac117f12e4']; loss = -1.136385
+Epoch 6:  68%|█████████████████████████████████████▊                  | 653/966 [23:16<11:09,  0.47it/s, v_num=s5n3]train step 6450; scene = ['dl3dv_0c6f5d61c7936a']; loss = -0.788936
+Epoch 6:  69%|██████████████████████████████████████▍                 | 663/966 [23:35<10:46,  0.47it/s, v_num=s5n3]train step 6460; scene = ['dl3dv_b4c14007eb2e0a']; loss = -1.632314
+Epoch 6:  70%|███████████████████████████████████████                 | 673/966 [23:55<10:25,  0.47it/s, v_num=s5n3]train step 6470; scene = ['dl3dv_f9de33a945b8ba']; loss = -1.071611
+Epoch 6:  71%|███████████████████████████████████████▌                | 683/966 [24:16<10:03,  0.47it/s, v_num=s5n3]train step 6480; scene = ['dl3dv_0b4fcbba5569b2']; loss = -0.891906
+Epoch 6:  72%|████████████████████████████████████████▏               | 693/966 [24:37<09:41,  0.47it/s, v_num=s5n3]train step 6490; scene = ['dl3dv_999bccb1149851']; loss = -1.193649
+Epoch 6:  73%|████████████████████████████████████████▊               | 703/966 [24:56<09:19,  0.47it/s, v_num=s5n3]train step 6500; scene = ['dl3dv_e8f708d17e93d1']; loss = -1.502978
+Epoch 6:  73%|████████████████████████████████████████▊               | 704/966 [24:58<09:17,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 6500; scene = ['room'];
+Epoch 6:  74%|█████████████████████████████████████████▎              | 713/966 [25:30<09:03,  0.47it/s, v_num=s5n3]train step 6510; scene = ['dl3dv_23cdcd0cd5b44a']; loss = -1.635233
+Epoch 6:  75%|█████████████████████████████████████████▉              | 723/966 [25:50<08:41,  0.47it/s, v_num=s5n3]train step 6520; scene = ['dl3dv_9407ecd2a5a5b7']; loss = -0.982352
+Epoch 6:  76%|██████████████████████████████████████████▍             | 733/966 [26:12<08:19,  0.47it/s, v_num=s5n3]train step 6530; scene = ['dl3dv_299fa251f44520']; loss = -0.289799
+Epoch 6:  77%|███████████████████████████████████████████             | 743/966 [26:32<07:57,  0.47it/s, v_num=s5n3]train step 6540; scene = ['dl3dv_a8d0bb455a3c38', 'dl3dv_49a0a72f45701a', 'dl3dv_dd634bbd04d47c']; loss = -1.772553
+Epoch 6:  78%|███████████████████████████████████████████▋            | 753/966 [26:52<07:36,  0.47it/s, v_num=s5n3]train step 6550; scene = ['dl3dv_c7735b8d26fcb9']; loss = -1.669801
+Epoch 6:  79%|████████████████████████████████████████████▏           | 763/966 [27:13<07:14,  0.47it/s, v_num=s5n3]train step 6560; scene = ['dl3dv_3856f4feeb8702']; loss = -1.370542
+Epoch 6:  80%|████████████████████████████████████████████▊           | 773/966 [27:34<06:53,  0.47it/s, v_num=s5n3]train step 6570; scene = ['dl3dv_d2ab867f3ade02', 'dl3dv_4cdc9a4ff5782c']; loss = -1.502344
+Epoch 6:  81%|█████████████████████████████████████████████▍          | 783/966 [27:53<06:31,  0.47it/s, v_num=s5n3]train step 6580; scene = ['dl3dv_af157c726efe51', 'dl3dv_72f79bc2e992fa']; loss = -1.766219
+Epoch 6:  82%|█████████████████████████████████████████████▉          | 793/966 [28:22<06:11,  0.47it/s, v_num=s5n3]train step 6590; scene = ['dl3dv_1907916562f439', 'dl3dv_a47dbdd559be91']; loss = -1.630703
+Epoch 6:  83%|██████████████████████████████████████████████▌         | 803/966 [28:42<05:49,  0.47it/s, v_num=s5n3]train step 6600; scene = ['dl3dv_85c6706310d545']; loss = -1.496264
+Epoch 6:  84%|███████████████████████████████████████████████▏        | 813/966 [29:12<05:29,  0.46it/s, v_num=s5n3]train step 6610; scene = ['dl3dv_7d6873ae55cf26', 'dl3dv_cba2ae95c0294c', 'dl3dv_d22e79ff99023c', 'dl3dv_52cbbc608ab124']; loss = -1.742628
+Epoch 6:  85%|███████████████████████████████████████████████▋        | 823/966 [29:32<05:08,  0.46it/s, v_num=s5n3]train step 6620; scene = ['dl3dv_f2d7a73c9db658', 'dl3dv_d22ec2a0b33c08']; loss = -1.411729
+Epoch 6:  86%|████████████████████████████████████████████████▎       | 833/966 [29:52<04:46,  0.46it/s, v_num=s5n3]train step 6630; scene = ['dl3dv_4961ef2ee60f01']; loss = -1.213670
+Epoch 6:  87%|████████████████████████████████████████████████▊       | 843/966 [30:12<04:24,  0.47it/s, v_num=s5n3]train step 6640; scene = ['dl3dv_e89891b793456c']; loss = -1.310961
+Epoch 6:  88%|█████████████████████████████████████████████████▍      | 853/966 [30:31<04:02,  0.47it/s, v_num=s5n3]train step 6650; scene = ['dl3dv_6faf38ca085f50']; loss = -1.637702
+Epoch 6:  89%|██████████████████████████████████████████████████      | 863/966 [30:50<03:40,  0.47it/s, v_num=s5n3]train step 6660; scene = ['dl3dv_7cc121c8b2cbd4']; loss = -0.768950
+Epoch 6:  90%|██████████████████████████████████████████████████▌     | 873/966 [31:21<03:20,  0.46it/s, v_num=s5n3]train step 6670; scene = ['dl3dv_16882ecb584da8']; loss = -1.391137
+Epoch 6:  91%|███████████████████████████████████████████████████▏    | 883/966 [31:41<02:58,  0.46it/s, v_num=s5n3]train step 6680; scene = ['dl3dv_716bd72d1405f8']; loss = -1.253173
+Epoch 6:  92%|███████████████████████████████████████████████████▊    | 893/966 [32:01<02:37,  0.46it/s, v_num=s5n3]train step 6690; scene = ['dl3dv_d059e033437735', 'dl3dv_6a10df4a5b371c']; loss = -1.322151
+Epoch 6:  93%|████████████████████████████████████████████████████▎   | 903/966 [32:21<02:15,  0.47it/s, v_num=s5n3]train step 6700; scene = ['dl3dv_95c65b37f4c5d1']; loss = -1.415736
+Epoch 6:  95%|████████████████████████████████████████████████████▉   | 913/966 [32:41<01:53,  0.47it/s, v_num=s5n3]train step 6710; scene = ['dl3dv_e1331217c50e55']; loss = -1.328180
+Epoch 6:  96%|█████████████████████████████████████████████████████▌  | 923/966 [33:00<01:32,  0.47it/s, v_num=s5n3]train step 6720; scene = ['dl3dv_75b2430057a7ec']; loss = -1.256035
+Epoch 6:  97%|██████████████████████████████████████████████████████  | 933/966 [33:21<01:10,  0.47it/s, v_num=s5n3]train step 6730; scene = ['dl3dv_713de64af2e184']; loss = -1.629163
+Epoch 6:  98%|██████████████████████████████████████████████████████▋ | 943/966 [33:40<00:49,  0.47it/s, v_num=s5n3]train step 6740; scene = ['dl3dv_f9482fae63f142']; loss = -1.315849
+Epoch 6:  99%|███████████████████████████████████████████████████████▏| 953/966 [34:00<00:27,  0.47it/s, v_num=s5n3]train step 6750; scene = ['dl3dv_6e66bb8eb8efaf']; loss = -1.394347
+Epoch 6: 100%|███████████████████████████████████████████████████████▊| 963/966 [34:21<00:06,  0.47it/s, v_num=s5n3]train step 6760; scene = ['dl3dv_f92623e39747e8']; loss = -0.492701
+Epoch 7:   1%|▍                                                         | 7/966 [00:13<31:37,  0.51it/s, v_num=s5n3]train step 6770; scene = ['dl3dv_30ff4f86d4f809']; loss = -1.523404
+Epoch 7:   2%|█                                                        | 17/966 [00:33<31:25,  0.50it/s, v_num=s5n3]train step 6780; scene = ['dl3dv_98e31af3b7260f']; loss = -1.194917
+Epoch 7:   3%|█▌                                                       | 27/966 [00:55<31:57,  0.49it/s, v_num=s5n3]train step 6790; scene = ['dl3dv_4d4a93a53e8326']; loss = -1.408406
+Epoch 7:   4%|██▏                                                      | 37/966 [01:13<30:49,  0.50it/s, v_num=s5n3]train step 6800; scene = ['dl3dv_68a06df95a6960']; loss = -1.132381
+Epoch 7:   5%|██▊                                                      | 47/966 [01:40<32:53,  0.47it/s, v_num=s5n3]train step 6810; scene = ['dl3dv_560f990168218e']; loss = -1.133369
+Epoch 7:   6%|███▎                                                     | 57/966 [02:01<32:13,  0.47it/s, v_num=s5n3]train step 6820; scene = ['dl3dv_e257f8599a1946', 'dl3dv_7f460b01cbb51c']; loss = -1.438968
+Epoch 7:   7%|███▉                                                     | 67/966 [02:31<33:50,  0.44it/s, v_num=s5n3]train step 6830; scene = ['dl3dv_9fd66ce0fcbf09']; loss = -1.418557
+Epoch 7:   8%|████▌                                                    | 77/966 [02:51<32:56,  0.45it/s, v_num=s5n3]train step 6840; scene = ['dl3dv_67d8c739cbcc51']; loss = -1.003637
+Epoch 7:   9%|█████▏                                                   | 87/966 [03:10<32:06,  0.46it/s, v_num=s5n3]train step 6850; scene = ['dl3dv_e209a091c1ec3b', 'dl3dv_1a0888823b8f0f']; loss = -1.534845
+Epoch 7:  10%|█████▋                                                   | 97/966 [03:31<31:32,  0.46it/s, v_num=s5n3]train step 6860; scene = ['dl3dv_0f8edc01e239a5']; loss = -1.210766
+Epoch 7:  11%|██████▏                                                 | 107/966 [03:50<30:53,  0.46it/s, v_num=s5n3]train step 6870; scene = ['dl3dv_b6971e10a8bdf5']; loss = -1.899710
+Epoch 7:  12%|██████▊                                                 | 117/966 [04:10<30:15,  0.47it/s, v_num=s5n3]train step 6880; scene = ['dl3dv_2204f9403702f5']; loss = -1.747705
+Epoch 7:  13%|███████▎                                                | 127/966 [04:29<29:41,  0.47it/s, v_num=s5n3]train step 6890; scene = ['dl3dv_2b7f782e48551a']; loss = -1.175936
+Epoch 7:  14%|███████▉                                                | 137/966 [04:49<29:10,  0.47it/s, v_num=s5n3]train step 6900; scene = ['dl3dv_030c3b5baca9db']; loss = -1.102460
+Epoch 7:  15%|████████▌                                               | 147/966 [05:09<28:42,  0.48it/s, v_num=s5n3]train step 6910; scene = ['dl3dv_dc916298d7b685']; loss = -1.286597
+Epoch 7:  16%|█████████                                               | 157/966 [05:29<28:19,  0.48it/s, v_num=s5n3]train step 6920; scene = ['dl3dv_d0b1288356b74c']; loss = -1.058588
+Epoch 7:  17%|█████████▋                                              | 167/966 [05:48<27:49,  0.48it/s, v_num=s5n3]train step 6930; scene = ['dl3dv_02ceef8fda3830']; loss = -1.064406
+Epoch 7:  18%|██████████▎                                             | 177/966 [06:08<27:22,  0.48it/s, v_num=s5n3]train step 6940; scene = ['dl3dv_2af5a9ed32bc76']; loss = -0.345728
+Epoch 7:  19%|██████████▊                                             | 187/966 [06:28<26:58,  0.48it/s, v_num=s5n3]train step 6950; scene = ['dl3dv_78688bb1576e53']; loss = -1.070295
+Epoch 7:  20%|███████████▍                                            | 197/966 [06:59<27:16,  0.47it/s, v_num=s5n3]train step 6960; scene = ['dl3dv_6ede6eb208626e']; loss = -0.937068
+Epoch 7:  21%|████████████                                            | 207/966 [07:18<26:46,  0.47it/s, v_num=s5n3]train step 6970; scene = ['dl3dv_71145db754da9d']; loss = -1.410493
+Epoch 7:  22%|████████████▌                                           | 217/966 [07:37<26:17,  0.47it/s, v_num=s5n3]train step 6980; scene = ['dl3dv_40b5b6f0827ebb', 'dl3dv_3ddf6b67310d26']; loss = -1.595982
+Epoch 7:  23%|█████████████▏                                          | 227/966 [08:06<26:23,  0.47it/s, v_num=s5n3]train step 6990; scene = ['dl3dv_51e57d3850448e']; loss = -1.384597
+Epoch 7:  25%|█████████████▋                                          | 237/966 [08:24<25:53,  0.47it/s, v_num=s5n3]train step 7000; scene = ['dl3dv_73151bf7ef6382']; loss = -1.172741
+Epoch 7:  25%|█████████████▊                                          | 238/966 [08:37<26:23,  0.46it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 7000; scene = ['room'];
+Epoch 7:  26%|██████████████▎                                         | 247/966 [09:06<26:30,  0.45it/s, v_num=s5n3]train step 7010; scene = ['dl3dv_a0644b62c54052', 'dl3dv_597416b087f2e0']; loss = -1.933093
+Epoch 7:  27%|██████████████▉                                         | 257/966 [09:25<26:00,  0.45it/s, v_num=s5n3]train step 7020; scene = ['dl3dv_dbeb7ff718da0c']; loss = -1.591834
+Epoch 7:  28%|███████████████▍                                        | 267/966 [09:46<25:35,  0.46it/s, v_num=s5n3]train step 7030; scene = ['dl3dv_f7f45707a3cb68']; loss = -0.659390
+Epoch 7:  29%|████████████████                                        | 277/966 [10:06<25:08,  0.46it/s, v_num=s5n3]train step 7040; scene = ['dl3dv_3d4b5440e2b9fb', 'dl3dv_ed54d9fd412547']; loss = -1.787598
+Epoch 7:  30%|████████████████▋                                       | 287/966 [10:25<24:40,  0.46it/s, v_num=s5n3]train step 7050; scene = ['dl3dv_48d2f39387ccd7']; loss = -0.570413
+Epoch 7:  31%|█████████████████▏                                      | 297/966 [10:45<24:13,  0.46it/s, v_num=s5n3]train step 7060; scene = ['dl3dv_8cc921f841cf4f']; loss = -1.174025
+Epoch 7:  32%|█████████████████▊                                      | 307/966 [11:05<23:49,  0.46it/s, v_num=s5n3]train step 7070; scene = ['dl3dv_d4758189e6fb7f']; loss = -1.423617
+Epoch 7:  33%|██████████████████▍                                     | 317/966 [11:34<23:41,  0.46it/s, v_num=s5n3]train step 7080; scene = ['dl3dv_efce02dd30f26f']; loss = -1.128278
+Epoch 7:  34%|██████████████████▉                                     | 327/966 [11:54<23:15,  0.46it/s, v_num=s5n3]train step 7090; scene = ['dl3dv_c1f01f6b4d0b68']; loss = -1.023567
+Epoch 7:  35%|███████████████████▌                                    | 337/966 [12:15<22:52,  0.46it/s, v_num=s5n3]train step 7100; scene = ['dl3dv_a55e9c6566c818']; loss = -2.504805
+Epoch 7:  36%|████████████████████                                    | 347/966 [12:37<22:30,  0.46it/s, v_num=s5n3]train step 7110; scene = ['dl3dv_ea11001582238e']; loss = -0.893643
+Epoch 7:  37%|████████████████████▋                                   | 357/966 [12:56<22:05,  0.46it/s, v_num=s5n3]train step 7120; scene = ['dl3dv_438f9d20aada72']; loss = -0.849271
+Epoch 7:  38%|█████████████████████▎                                  | 367/966 [13:17<21:41,  0.46it/s, v_num=s5n3]train step 7130; scene = ['dl3dv_65eba9bf89fdf4', 'dl3dv_f1799bd50ced83']; loss = -1.750126
+Epoch 7:  39%|█████████████████████▊                                  | 377/966 [13:37<21:17,  0.46it/s, v_num=s5n3]train step 7140; scene = ['dl3dv_f0b021144b0545', 'dl3dv_73ffb69d9b3e93', 'dl3dv_3066a25870d03d', 'dl3dv_23379de431f067']; loss = -1.617496
+Epoch 7:  40%|██████████████████████▍                                 | 387/966 [13:58<20:54,  0.46it/s, v_num=s5n3]train step 7150; scene = ['dl3dv_6cb22a1620b1a2']; loss = -1.107381
+Epoch 7:  41%|███████████████████████                                 | 397/966 [14:16<20:27,  0.46it/s, v_num=s5n3]train step 7160; scene = ['dl3dv_52cf45fc15c174']; loss = -1.867071
+Epoch 7:  42%|███████████████████████▌                                | 407/966 [14:34<20:01,  0.47it/s, v_num=s5n3]train step 7170; scene = ['dl3dv_a3efe59e3f9e57']; loss = -1.119656
+Epoch 7:  43%|████████████████████████▏                               | 417/966 [14:54<19:37,  0.47it/s, v_num=s5n3]train step 7180; scene = ['dl3dv_8dcd0ada599b8f']; loss = -1.643050
+Epoch 7:  44%|████████████████████████▊                               | 427/966 [15:14<19:14,  0.47it/s, v_num=s5n3]train step 7190; scene = ['dl3dv_643e02263355c6', 'dl3dv_102c7f3888fb89']; loss = -1.711620
+Epoch 7:  45%|█████████████████████████▎                              | 437/966 [15:45<19:04,  0.46it/s, v_num=s5n3]train step 7200; scene = ['dl3dv_b627098eecdf1e']; loss = -1.614667
+Epoch 7:  46%|█████████████████████████▉                              | 447/966 [16:12<18:48,  0.46it/s, v_num=s5n3]train step 7210; scene = ['dl3dv_4527811824e13b']; loss = -1.546732
+Epoch 7:  47%|██████████████████████████▍                             | 457/966 [16:32<18:24,  0.46it/s, v_num=s5n3]train step 7220; scene = ['dl3dv_35f91630518345']; loss = -1.220145
+Epoch 7:  48%|███████████████████████████                             | 467/966 [16:59<18:09,  0.46it/s, v_num=s5n3]train step 7230; scene = ['dl3dv_26d80d4085d42f']; loss = -1.691486
+Epoch 7:  49%|███████████████████████████▋                            | 477/966 [17:19<17:45,  0.46it/s, v_num=s5n3]train step 7240; scene = ['dl3dv_c07ac2cdc0dddc']; loss = -1.651090
+Epoch 7:  50%|████████████████████████████▏                           | 487/966 [17:38<17:21,  0.46it/s, v_num=s5n3]train step 7250; scene = ['dl3dv_4ddfc1f1dd0102']; loss = -0.428332
+Epoch 7:  51%|████████████████████████████▊                           | 497/966 [17:58<16:57,  0.46it/s, v_num=s5n3]train step 7260; scene = ['dl3dv_291292e899debc', 'dl3dv_47c328cf8b8127']; loss = -1.272074
+Epoch 7:  52%|█████████████████████████████▍                          | 507/966 [18:17<16:33,  0.46it/s, v_num=s5n3]train step 7270; scene = ['dl3dv_1b99e7ee8ed7b4', 'dl3dv_c814fcd6d986ce', 'dl3dv_62f3a1d6da8e55', 'dl3dv_983410436e8f61']; loss = -1.683404
+Epoch 7:  54%|█████████████████████████████▉                          | 517/966 [18:37<16:10,  0.46it/s, v_num=s5n3]train step 7280; scene = ['dl3dv_4f99b0e330974b', 'dl3dv_3167a3fe1f3cbc']; loss = -1.267282
+Epoch 7:  55%|██████████████████████████████▌                         | 527/966 [18:58<15:48,  0.46it/s, v_num=s5n3]train step 7290; scene = ['dl3dv_904d19b28abacb', 'dl3dv_43101039ceceb9', 'dl3dv_32c074d73510a6']; loss = -2.177490
+Epoch 7:  56%|███████████████████████████████▏                        | 537/966 [19:19<15:26,  0.46it/s, v_num=s5n3]train step 7300; scene = ['dl3dv_68366ed49fe998']; loss = -1.537040
+Epoch 7:  57%|███████████████████████████████▋                        | 547/966 [19:41<15:04,  0.46it/s, v_num=s5n3]train step 7310; scene = ['dl3dv_d9e2536342dd0a']; loss = -1.600579
+Epoch 7:  58%|████████████████████████████████▎                       | 557/966 [20:00<14:41,  0.46it/s, v_num=s5n3]train step 7320; scene = ['dl3dv_8f64ce01dc9d19']; loss = -0.807489
+Epoch 7:  59%|████████████████████████████████▊                       | 567/966 [20:20<14:18,  0.46it/s, v_num=s5n3]train step 7330; scene = ['dl3dv_804644909d1eb7', 'dl3dv_9eb66d4e96f459', 'dl3dv_081ef73814f12f', 'dl3dv_3267fa25883408']; loss = -1.892512
+Epoch 7:  60%|█████████████████████████████████▍                      | 577/966 [20:39<13:55,  0.47it/s, v_num=s5n3]train step 7340; scene = ['dl3dv_96a1ffb54b8cf1']; loss = -1.547963
+Epoch 7:  61%|██████████████████████████████████                      | 587/966 [21:00<13:33,  0.47it/s, v_num=s5n3]train step 7350; scene = ['dl3dv_c94594cbde7ef0']; loss = -1.750153
+Epoch 7:  62%|██████████████████████████████████▌                     | 597/966 [21:19<13:11,  0.47it/s, v_num=s5n3]train step 7360; scene = ['dl3dv_860ad96a85fcac']; loss = -2.299988
+Epoch 7:  63%|███████████████████████████████████▏                    | 607/966 [21:39<12:48,  0.47it/s, v_num=s5n3]train step 7370; scene = ['dl3dv_03f8b0f40342db']; loss = -1.540744
+Epoch 7:  64%|███████████████████████████████████▊                    | 617/966 [21:58<12:25,  0.47it/s, v_num=s5n3]train step 7380; scene = ['dl3dv_530c4d02172bf4']; loss = -0.681220
+Epoch 7:  65%|████████████████████████████████████▎                   | 627/966 [22:18<12:03,  0.47it/s, v_num=s5n3]train step 7390; scene = ['dl3dv_f27b47e12f5cb2']; loss = -1.789568
+Epoch 7:  66%|████████████████████████████████████▉                   | 637/966 [22:38<11:41,  0.47it/s, v_num=s5n3]train step 7400; scene = ['dl3dv_da2a18a94405b3']; loss = -1.448853
+Epoch 7:  67%|█████████████████████████████████████▌                  | 647/966 [23:02<11:21,  0.47it/s, v_num=s5n3]train step 7410; scene = ['dl3dv_c7af6fee424493']; loss = -1.699326
+Epoch 7:  68%|██████████████████████████████████████                  | 657/966 [23:20<10:58,  0.47it/s, v_num=s5n3]train step 7420; scene = ['dl3dv_b4c14007eb2e0a']; loss = -1.419719
+Epoch 7:  69%|██████████████████████████████████████▋                 | 667/966 [23:41<10:37,  0.47it/s, v_num=s5n3]train step 7430; scene = ['dl3dv_fae07f2ed5f9b4', 'dl3dv_f9de33a945b8ba']; loss = -1.583791
+Epoch 7:  70%|███████████████████████████████████████▏                | 677/966 [24:00<10:15,  0.47it/s, v_num=s5n3]train step 7440; scene = ['dl3dv_c45e0f154eea4c']; loss = -1.648409
+Epoch 7:  71%|███████████████████████████████████████▊                | 687/966 [24:20<09:53,  0.47it/s, v_num=s5n3]train step 7450; scene = ['dl3dv_999bccb1149851', 'dl3dv_0c0d375f17394d']; loss = -1.580546
+Epoch 7:  72%|████████████████████████████████████████▍               | 697/966 [24:41<09:31,  0.47it/s, v_num=s5n3]train step 7460; scene = ['dl3dv_94691ba17e7ccb']; loss = -1.687320
+Epoch 7:  73%|████████████████████████████████████████▉               | 707/966 [25:01<09:09,  0.47it/s, v_num=s5n3]train step 7470; scene = ['dl3dv_10a8e60d64db9b']; loss = -1.327998
+Epoch 7:  74%|█████████████████████████████████████████▌              | 717/966 [25:21<08:48,  0.47it/s, v_num=s5n3]train step 7480; scene = ['dl3dv_16433dba9fd1e2']; loss = -1.003562
+Epoch 7:  75%|██████████████████████████████████████████▏             | 727/966 [25:40<08:26,  0.47it/s, v_num=s5n3]train step 7490; scene = ['dl3dv_b5bb62c9eb8760']; loss = -1.140290
+Epoch 7:  76%|██████████████████████████████████████████▋             | 737/966 [26:11<08:08,  0.47it/s, v_num=s5n3]train step 7500; scene = ['dl3dv_0e504315d431ac']; loss = -1.698475
+Epoch 7:  76%|██████████████████████████████████████████▊             | 738/966 [26:12<08:05,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 7500; scene = ['room'];
+Epoch 7:  77%|███████████████████████████████████████████▎            | 747/966 [26:43<07:50,  0.47it/s, v_num=s5n3]train step 7510; scene = ['dl3dv_3dfc61619cd9ed', 'dl3dv_8efe975becb7fc']; loss = -1.189144
+Epoch 7:  78%|███████████████████████████████████████████▉            | 757/966 [27:02<07:27,  0.47it/s, v_num=s5n3]train step 7520; scene = ['dl3dv_5e63065a4cd08c']; loss = -1.905911
+Epoch 7:  79%|████████████████████████████████████████████▍           | 767/966 [27:21<07:05,  0.47it/s, v_num=s5n3]train step 7530; scene = ['dl3dv_4cdc9a4ff5782c']; loss = -1.391300
+Epoch 7:  80%|█████████████████████████████████████████████           | 777/966 [27:41<06:44,  0.47it/s, v_num=s5n3]train step 7540; scene = ['dl3dv_f517d5d5cc7112']; loss = -0.966672
+Epoch 7:  81%|█████████████████████████████████████████████▌          | 787/966 [27:59<06:21,  0.47it/s, v_num=s5n3]train step 7550; scene = ['dl3dv_d3302c9225555c', 'dl3dv_007fa368d01135']; loss = -1.832781
+Epoch 7:  83%|██████████████████████████████████████████████▏         | 797/966 [28:16<05:59,  0.47it/s, v_num=s5n3]train step 7560; scene = ['dl3dv_729a4c2a33797c']; loss = -1.060629
+Epoch 7:  84%|██████████████████████████████████████████████▊         | 807/966 [28:37<05:38,  0.47it/s, v_num=s5n3]train step 7570; scene = ['dl3dv_b3bec34b72da2f']; loss = -1.037052
+Epoch 7:  85%|███████████████████████████████████████████████▎        | 817/966 [28:57<05:16,  0.47it/s, v_num=s5n3]train step 7580; scene = ['dl3dv_cba2ae95c0294c']; loss = -1.186818
+Epoch 7:  86%|███████████████████████████████████████████████▉        | 827/966 [29:26<04:56,  0.47it/s, v_num=s5n3]train step 7590; scene = ['dl3dv_d432cfcd9b4f60']; loss = -1.551583
+Epoch 7:  87%|████████████████████████████████████████████████▌       | 837/966 [29:47<04:35,  0.47it/s, v_num=s5n3]train step 7600; scene = ['dl3dv_0f365efd0a1a81', 'dl3dv_74c464184cb724']; loss = -1.975737
+Epoch 7:  88%|█████████████████████████████████████████████████       | 847/966 [30:10<04:14,  0.47it/s, v_num=s5n3]train step 7610; scene = ['dl3dv_29ce58de9e2327']; loss = -0.810780
+Epoch 7:  89%|█████████████████████████████████████████████████▋      | 857/966 [30:31<03:52,  0.47it/s, v_num=s5n3]train step 7620; scene = ['dl3dv_03618116150195']; loss = -1.598717
+Epoch 7:  90%|██████████████████████████████████████████████████▎     | 867/966 [30:50<03:31,  0.47it/s, v_num=s5n3]train step 7630; scene = ['dl3dv_4f08b0607df9ce']; loss = -1.880216
+Epoch 7:  91%|██████████████████████████████████████████████████▊     | 877/966 [31:11<03:09,  0.47it/s, v_num=s5n3]train step 7640; scene = ['dl3dv_431fe389b2cbd7']; loss = -1.445401
+Epoch 7:  92%|███████████████████████████████████████████████████▍    | 887/966 [31:31<02:48,  0.47it/s, v_num=s5n3]train step 7650; scene = ['dl3dv_ab63904b2d84d0']; loss = -0.696290
+Epoch 7:  93%|████████████████████████████████████████████████████    | 897/966 [31:50<02:26,  0.47it/s, v_num=s5n3]train step 7660; scene = ['dl3dv_6669d5a95c2be3']; loss = -0.570660
+Epoch 7:  94%|████████████████████████████████████████████████████▌   | 907/966 [32:11<02:05,  0.47it/s, v_num=s5n3]train step 7670; scene = ['dl3dv_bd1dd1ec62e6bb']; loss = -0.763152
+Epoch 7:  95%|█████████████████████████████████████████████████████▏  | 917/966 [32:31<01:44,  0.47it/s, v_num=s5n3]train step 7680; scene = ['dl3dv_efd74a79919d75']; loss = -1.379353
+Epoch 7:  96%|█████████████████████████████████████████████████████▋  | 927/966 [32:51<01:22,  0.47it/s, v_num=s5n3]train step 7690; scene = ['dl3dv_4069987be5a5fc', 'dl3dv_27daa60e1fa93a']; loss = -1.680544
+Epoch 7:  97%|██████████████████████████████████████████████████████▎ | 937/966 [33:10<01:01,  0.47it/s, v_num=s5n3]train step 7700; scene = ['dl3dv_39fa90211989f8']; loss = -1.755828
+Epoch 7:  98%|██████████████████████████████████████████████████████▉ | 947/966 [33:30<00:40,  0.47it/s, v_num=s5n3]train step 7710; scene = ['dl3dv_3fa142f449c51c', 'dl3dv_1da62966545b68']; loss = -1.620629
+Epoch 7:  99%|███████████████████████████████████████████████████████▍| 957/966 [33:49<00:19,  0.47it/s, v_num=s5n3]train step 7720; scene = ['dl3dv_d5599b0253122d', 'dl3dv_522e2383dc7146']; loss = -1.948469
+Epoch 8:   0%|                                                          | 1/966 [00:02<36:07,  0.45it/s, v_num=s5n3]train step 7730; scene = ['dl3dv_be15844e35d367']; loss = -1.512454
+Epoch 8:   1%|▋                                                        | 11/966 [00:23<33:52,  0.47it/s, v_num=s5n3]train step 7740; scene = ['dl3dv_5c21c41499ee41']; loss = -1.213161
+Epoch 8:   2%|█▏                                                       | 21/966 [00:53<40:03,  0.39it/s, v_num=s5n3]train step 7750; scene = ['dl3dv_9aae8ae4d5ad1d']; loss = -1.286090
+Epoch 8:   3%|█▊                                                       | 31/966 [01:13<36:46,  0.42it/s, v_num=s5n3]train step 7760; scene = ['dl3dv_ed2b530d8b42cc']; loss = -1.538996
+Epoch 8:   4%|██▍                                                      | 41/966 [01:32<34:54,  0.44it/s, v_num=s5n3]train step 7770; scene = ['dl3dv_b5822a565a3749']; loss = -1.141928
+Epoch 8:   5%|███                                                      | 51/966 [01:53<33:48,  0.45it/s, v_num=s5n3]train step 7780; scene = ['dl3dv_701c4ef6442d41', 'dl3dv_8cae3b336b96fd']; loss = -1.416280
+Epoch 8:   6%|███▌                                                     | 61/966 [02:12<32:43,  0.46it/s, v_num=s5n3]train step 7790; scene = ['dl3dv_4df362276310af']; loss = -1.478493
+Epoch 8:   7%|████▏                                                    | 71/966 [02:31<31:55,  0.47it/s, v_num=s5n3]train step 7800; scene = ['dl3dv_8f4a2aa4be5087']; loss = -1.381330
+Epoch 8:   8%|████▊                                                    | 81/966 [02:58<32:34,  0.45it/s, v_num=s5n3]train step 7810; scene = ['dl3dv_7f36f78d9f26d9']; loss = -1.365506
+Epoch 8:   9%|█████▎                                                   | 91/966 [03:17<31:39,  0.46it/s, v_num=s5n3]train step 7820; scene = ['dl3dv_99c9051876bf25']; loss = -1.957653
+Epoch 8:  10%|█████▊                                                  | 101/966 [03:38<31:07,  0.46it/s, v_num=s5n3]train step 7830; scene = ['dl3dv_0f8edc01e239a5', 'dl3dv_1f5c364cecd746', 'dl3dv_739e7033719d15', 'dl3dv_586a5633eea1ca', 'dl3dv_0b96b99bb5b0b6']; loss = -1.534450
+Epoch 8:  11%|██████▍                                                 | 111/966 [03:57<30:31,  0.47it/s, v_num=s5n3]train step 7840; scene = ['dl3dv_1ba4c38ba32ca6']; loss = -1.551977
+Epoch 8:  13%|███████                                                 | 121/966 [04:18<30:05,  0.47it/s, v_num=s5n3]train step 7850; scene = ['dl3dv_2204f9403702f5', 'dl3dv_6ecbac7243f75c']; loss = -1.710258
+Epoch 8:  14%|███████▌                                                | 131/966 [04:37<29:31,  0.47it/s, v_num=s5n3]train step 7860; scene = ['dl3dv_eac9cb27229f1e']; loss = -1.908758
+Epoch 8:  15%|████████▏                                               | 141/966 [05:06<29:54,  0.46it/s, v_num=s5n3]train step 7870; scene = ['dl3dv_ed5de1fd419d6b']; loss = -1.799511
+Epoch 8:  16%|████████▊                                               | 151/966 [05:26<29:22,  0.46it/s, v_num=s5n3]train step 7880; scene = ['dl3dv_006771db3c0572', 'dl3dv_05676e41270156']; loss = -1.269414
+Epoch 8:  17%|█████████▎                                              | 161/966 [05:47<28:55,  0.46it/s, v_num=s5n3]train step 7890; scene = ['dl3dv_0e4eceb57f0488']; loss = -1.652693
+Epoch 8:  18%|█████████▉                                              | 171/966 [06:14<29:02,  0.46it/s, v_num=s5n3]train step 7900; scene = ['dl3dv_eb28a65d1dcb85']; loss = -1.211674
+Epoch 8:  19%|██████████▍                                             | 181/966 [06:33<28:27,  0.46it/s, v_num=s5n3]train step 7910; scene = ['dl3dv_de8a78598a8ec4']; loss = -2.043807
+Epoch 8:  20%|███████████                                             | 191/966 [06:53<27:57,  0.46it/s, v_num=s5n3]train step 7920; scene = ['dl3dv_59256fb2265817']; loss = -1.262057
+Epoch 8:  21%|███████████▋                                            | 201/966 [07:14<27:32,  0.46it/s, v_num=s5n3]train step 7930; scene = ['dl3dv_2a1491a2ece879']; loss = -1.398571
+Epoch 8:  22%|████████████▏                                           | 211/966 [07:32<27:00,  0.47it/s, v_num=s5n3]train step 7940; scene = ['dl3dv_b41cfaca712e1a']; loss = -1.029983
+Epoch 8:  23%|████████████▊                                           | 221/966 [07:53<26:35,  0.47it/s, v_num=s5n3]train step 7950; scene = ['dl3dv_ae7145ceac4cf1']; loss = -0.959853
+Epoch 8:  24%|█████████████▍                                          | 231/966 [08:11<26:03,  0.47it/s, v_num=s5n3]train step 7960; scene = ['dl3dv_eb68a6031a267a', 'dl3dv_eee1f386978d49']; loss = -1.758725
+Epoch 8:  25%|█████████████▉                                          | 241/966 [08:30<25:36,  0.47it/s, v_num=s5n3]train step 7970; scene = ['dl3dv_9ca887305c092b']; loss = -1.055977
+Epoch 8:  26%|██████████████▌                                         | 251/966 [08:50<25:11,  0.47it/s, v_num=s5n3]train step 7980; scene = ['dl3dv_d27ea39f760448', 'dl3dv_c12223e5a11164']; loss = -1.386082
+Epoch 8:  27%|███████████████▏                                        | 261/966 [09:12<24:51,  0.47it/s, v_num=s5n3]train step 7990; scene = ['dl3dv_944789368528e8', 'dl3dv_dbeb7ff718da0c', 'dl3dv_b173bd3e5bde69', 'dl3dv_aa9f3f8870e783']; loss = -1.606237
+Epoch 8:  28%|███████████████▋                                        | 271/966 [09:30<24:24,  0.47it/s, v_num=s5n3]train step 8000; scene = ['dl3dv_e3ae4f21452e68']; loss = -1.294268
+Epoch 8:  28%|███████████████▊                                        | 272/966 [09:42<24:45,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 8000; scene = ['room'];
+Epoch 8:  29%|████████████████▎                                       | 281/966 [10:27<25:28,  0.45it/s, v_num=s5n3]train step 8010; scene = ['dl3dv_3d4b5440e2b9fb']; loss = -1.492583
+Epoch 8:  30%|████████████████▊                                       | 291/966 [10:47<25:02,  0.45it/s, v_num=s5n3]train step 8020; scene = ['dl3dv_0943ca5b5e8402']; loss = -1.497872
+Epoch 8:  31%|█████████████████▍                                      | 301/966 [11:07<24:34,  0.45it/s, v_num=s5n3]train step 8030; scene = ['dl3dv_a5b96550e05df5']; loss = -0.725502
+Epoch 8:  32%|██████████████████                                      | 311/966 [11:27<24:07,  0.45it/s, v_num=s5n3]train step 8040; scene = ['dl3dv_3c4f871c1908b0']; loss = -1.430488
+Epoch 8:  33%|██████████████████▌                                     | 321/966 [11:46<23:39,  0.45it/s, v_num=s5n3]train step 8050; scene = ['dl3dv_0706423df5e141']; loss = -1.255269
+Epoch 8:  34%|███████████████████▏                                    | 331/966 [12:07<23:14,  0.46it/s, v_num=s5n3]train step 8060; scene = ['dl3dv_4b0f684e4fff72']; loss = -1.465890
+Epoch 8:  35%|███████████████████▊                                    | 341/966 [12:28<22:51,  0.46it/s, v_num=s5n3]train step 8070; scene = ['dl3dv_96efabeb0709b1']; loss = -1.828823
+Epoch 8:  36%|████████████████████▎                                   | 351/966 [12:49<22:28,  0.46it/s, v_num=s5n3]train step 8080; scene = ['dl3dv_5b96cf03bcea77']; loss = -1.377518
+Epoch 8:  37%|████████████████████▉                                   | 361/966 [13:10<22:03,  0.46it/s, v_num=s5n3]train step 8090; scene = ['dl3dv_397f9ef07173c8']; loss = -0.742721
+Epoch 8:  38%|█████████████████████▌                                  | 371/966 [13:31<21:41,  0.46it/s, v_num=s5n3]train step 8100; scene = ['dl3dv_16bba6d01cd2d4', 'dl3dv_4f32f413641ed4', 'dl3dv_779ff1b415c7c7']; loss = -1.854157
+Epoch 8:  39%|██████████████████████                                  | 381/966 [13:51<21:16,  0.46it/s, v_num=s5n3]train step 8110; scene = ['dl3dv_7d5b2bdae3958d']; loss = -1.667870
+Epoch 8:  40%|██████████████████████▋                                 | 391/966 [14:10<20:50,  0.46it/s, v_num=s5n3]train step 8120; scene = ['dl3dv_fce43e01d8592f']; loss = -0.975017
+Epoch 8:  42%|███████████████████████▏                                | 401/966 [14:38<20:37,  0.46it/s, v_num=s5n3]train step 8130; scene = ['dl3dv_db741a1146c734']; loss = -1.747323
+Epoch 8:  43%|███████████████████████▊                                | 411/966 [14:57<20:11,  0.46it/s, v_num=s5n3]train step 8140; scene = ['dl3dv_b9633624f111e1']; loss = -1.079845
+Epoch 8:  44%|████████████████████████▍                               | 421/966 [15:25<19:57,  0.46it/s, v_num=s5n3]train step 8150; scene = ['dl3dv_5716af42f9099e']; loss = -1.409138
+Epoch 8:  45%|████████████████████████▉                               | 431/966 [15:44<19:32,  0.46it/s, v_num=s5n3]train step 8160; scene = ['dl3dv_da0a16fee5af7e']; loss = -1.916652
+Epoch 8:  46%|█████████████████████████▌                              | 441/966 [16:03<19:06,  0.46it/s, v_num=s5n3]train step 8170; scene = ['dl3dv_a625d8ae1160b9']; loss = -1.043480
+Epoch 8:  47%|██████████████████████████▏                             | 451/966 [16:21<18:41,  0.46it/s, v_num=s5n3]train step 8180; scene = ['dl3dv_d95684e9ba71aa']; loss = -0.761700
+Epoch 8:  48%|██████████████████████████▋                             | 461/966 [16:40<18:16,  0.46it/s, v_num=s5n3]train step 8190; scene = ['dl3dv_1a0b527961d348']; loss = -1.526440
+Epoch 8:  49%|███████████████████████████▎                            | 471/966 [17:01<17:53,  0.46it/s, v_num=s5n3]train step 8200; scene = ['dl3dv_ef1a5c3514939c']; loss = -1.472756
+Epoch 8:  50%|███████████████████████████▉                            | 481/966 [17:33<17:42,  0.46it/s, v_num=s5n3]train step 8210; scene = ['dl3dv_825e90183ae19a']; loss = -1.348276
+Epoch 8:  51%|████████████████████████████▍                           | 491/966 [17:53<17:18,  0.46it/s, v_num=s5n3]train step 8220; scene = ['dl3dv_9951a620b1792e']; loss = -0.503077
+Epoch 8:  52%|█████████████████████████████                           | 501/966 [18:13<16:54,  0.46it/s, v_num=s5n3]train step 8230; scene = ['dl3dv_dc455f8a6b1819']; loss = -1.252113
+Epoch 8:  53%|█████████████████████████████▌                          | 511/966 [18:33<16:31,  0.46it/s, v_num=s5n3]train step 8240; scene = ['dl3dv_526920bcac9a11', 'dl3dv_0c57b28a71afab', 'dl3dv_bd368b54e75b22', 'dl3dv_4ddfc1f1dd0102']; loss = -1.849956
+Epoch 8:  54%|██████████████████████████████▏                         | 521/966 [18:52<16:07,  0.46it/s, v_num=s5n3]train step 8250; scene = ['dl3dv_e880035bcf5901']; loss = -0.839143
+Epoch 8:  55%|██████████████████████████████▊                         | 531/966 [19:11<15:43,  0.46it/s, v_num=s5n3]train step 8260; scene = ['dl3dv_983410436e8f61']; loss = -1.539453
+Epoch 8:  56%|███████████████████████████████▎                        | 541/966 [19:31<15:19,  0.46it/s, v_num=s5n3]train step 8270; scene = ['dl3dv_4f99b0e330974b', 'dl3dv_3167a3fe1f3cbc']; loss = -1.856060
+Epoch 8:  57%|███████████████████████████████▉                        | 551/966 [19:51<14:57,  0.46it/s, v_num=s5n3]train step 8280; scene = ['dl3dv_fd1412fdf84ca7']; loss = -1.927393
+Epoch 8:  58%|████████████████████████████████▌                       | 561/966 [20:10<14:33,  0.46it/s, v_num=s5n3]train step 8290; scene = ['dl3dv_68366ed49fe998']; loss = -1.609215
+Epoch 8:  59%|█████████████████████████████████                       | 571/966 [20:29<14:10,  0.46it/s, v_num=s5n3]train step 8300; scene = ['dl3dv_92ac0655590ac1']; loss = -0.804856
+Epoch 8:  60%|█████████████████████████████████▋                      | 581/966 [20:49<13:48,  0.46it/s, v_num=s5n3]train step 8310; scene = ['dl3dv_57d64c9fe21979']; loss = -0.980484
+Epoch 8:  61%|██████████████████████████████████▎                     | 591/966 [21:09<13:25,  0.47it/s, v_num=s5n3]train step 8320; scene = ['dl3dv_def374b9349cb7']; loss = -1.079342
+Epoch 8:  62%|██████████████████████████████████▊                     | 601/966 [21:27<13:02,  0.47it/s, v_num=s5n3]train step 8330; scene = ['dl3dv_9eb66d4e96f459']; loss = -1.590634
+Epoch 8:  63%|███████████████████████████████████▍                    | 611/966 [21:47<12:39,  0.47it/s, v_num=s5n3]train step 8340; scene = ['dl3dv_fc0ce3dd63eff4']; loss = -1.177122
+Epoch 8:  64%|████████████████████████████████████                    | 621/966 [22:07<12:17,  0.47it/s, v_num=s5n3]train step 8350; scene = ['dl3dv_5bf57f6f562ed8']; loss = -1.215077
+Epoch 8:  65%|████████████████████████████████████▌                   | 631/966 [22:27<11:55,  0.47it/s, v_num=s5n3]train step 8360; scene = ['dl3dv_860ad96a85fcac']; loss = -1.865526
+Epoch 8:  66%|█████████████████████████████████████▏                  | 641/966 [22:46<11:32,  0.47it/s, v_num=s5n3]train step 8370; scene = ['dl3dv_4d34378c7aeef2']; loss = -1.278719
+Epoch 8:  67%|█████████████████████████████████████▋                  | 651/966 [23:05<11:10,  0.47it/s, v_num=s5n3]train step 8380; scene = ['dl3dv_197ed410618130']; loss = -1.392046
+Epoch 8:  68%|██████████████████████████████████████▎                 | 661/966 [23:25<10:48,  0.47it/s, v_num=s5n3]train step 8390; scene = ['dl3dv_04e10728a72872']; loss = -1.985484
+Epoch 8:  69%|██████████████████████████████████████▉                 | 671/966 [23:45<10:26,  0.47it/s, v_num=s5n3]train step 8400; scene = ['dl3dv_7a2a3503ecca3d']; loss = -1.508343
+Epoch 8:  70%|███████████████████████████████████████▍                | 681/966 [24:23<10:12,  0.47it/s, v_num=s5n3]train step 8410; scene = ['dl3dv_4a00c50e99f92a']; loss = -1.786999
+Epoch 8:  72%|████████████████████████████████████████                | 691/966 [24:43<09:50,  0.47it/s, v_num=s5n3]train step 8420; scene = ['dl3dv_ca37448b27ea16']; loss = -2.079951
+Epoch 8:  73%|████████████████████████████████████████▋               | 701/966 [25:04<09:28,  0.47it/s, v_num=s5n3]train step 8430; scene = ['dl3dv_82338071ffc0a0']; loss = -1.230289
+Epoch 8:  74%|█████████████████████████████████████████▏              | 711/966 [25:24<09:06,  0.47it/s, v_num=s5n3]train step 8440; scene = ['dl3dv_493e4ff8aeb6bd']; loss = -1.327530
+Epoch 8:  75%|█████████████████████████████████████████▊              | 721/966 [25:44<08:44,  0.47it/s, v_num=s5n3]train step 8450; scene = ['dl3dv_e8f708d17e93d1']; loss = -1.656955
+Epoch 8:  76%|██████████████████████████████████████████▍             | 731/966 [26:04<08:22,  0.47it/s, v_num=s5n3]train step 8460; scene = ['dl3dv_23cdcd0cd5b44a']; loss = -1.256243
+Epoch 8:  77%|██████████████████████████████████████████▉             | 741/966 [26:23<08:00,  0.47it/s, v_num=s5n3]train step 8470; scene = ['dl3dv_352d1195947bd7']; loss = -0.529197
+Epoch 8:  78%|███████████████████████████████████████████▌            | 751/966 [26:43<07:39,  0.47it/s, v_num=s5n3]train step 8480; scene = ['dl3dv_50759c66aeadc6']; loss = -1.169131
+Epoch 8:  79%|████████████████████████████████████████████            | 761/966 [27:03<07:17,  0.47it/s, v_num=s5n3]train step 8490; scene = ['dl3dv_ca0cd05c8df51e', 'dl3dv_49c3ca001a607d', 'dl3dv_923b29f6c0b7e0']; loss = -1.793771
+Epoch 8:  80%|████████████████████████████████████████████▋           | 771/966 [27:22<06:55,  0.47it/s, v_num=s5n3]train step 8500; scene = ['dl3dv_59b42ea221d21a', 'dl3dv_46d0582bdf16aa']; loss = -1.712879
+Epoch 8:  80%|████████████████████████████████████████████▊           | 772/966 [27:24<06:53,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 8500; scene = ['room'];
+Epoch 8:  81%|█████████████████████████████████████████████▎          | 781/966 [28:07<06:39,  0.46it/s, v_num=s5n3]train step 8510; scene = ['dl3dv_48f7418c025f4d']; loss = -0.938413
+Epoch 8:  82%|█████████████████████████████████████████████▊          | 791/966 [28:27<06:17,  0.46it/s, v_num=s5n3]train step 8520; scene = ['dl3dv_be69b01835d858']; loss = -1.225168
+Epoch 8:  83%|██████████████████████████████████████████████▍         | 801/966 [28:45<05:55,  0.46it/s, v_num=s5n3]train step 8530; scene = ['dl3dv_6e7d44fee67597']; loss = -0.886036
+Epoch 8:  84%|███████████████████████████████████████████████         | 811/966 [29:05<05:33,  0.46it/s, v_num=s5n3]train step 8540; scene = ['dl3dv_a4c20f668ce179']; loss = -1.457227
+Epoch 8:  85%|███████████████████████████████████████████████▌        | 821/966 [29:25<05:11,  0.46it/s, v_num=s5n3]train step 8550; scene = ['dl3dv_1907916562f439']; loss = -1.611562
+Epoch 8:  86%|████████████████████████████████████████████████▏       | 831/966 [29:45<04:49,  0.47it/s, v_num=s5n3]train step 8560; scene = ['dl3dv_974ea3a7dff3da']; loss = -1.440378
+Epoch 8:  87%|████████████████████████████████████████████████▊       | 841/966 [30:05<04:28,  0.47it/s, v_num=s5n3]train step 8570; scene = ['dl3dv_b3bec34b72da2f']; loss = -1.108891
+Epoch 8:  88%|█████████████████████████████████████████████████▎      | 851/966 [30:25<04:06,  0.47it/s, v_num=s5n3]train step 8580; scene = ['dl3dv_9fe973dd91bad2', 'dl3dv_13474be3953dfa']; loss = -1.966052
+Epoch 8:  89%|█████████████████████████████████████████████████▉      | 861/966 [30:45<03:45,  0.47it/s, v_num=s5n3]train step 8590; scene = ['dl3dv_77ccf09fab9bda']; loss = -1.536214
+Epoch 8:  90%|██████████████████████████████████████████████████▍     | 871/966 [31:06<03:23,  0.47it/s, v_num=s5n3]train step 8600; scene = ['dl3dv_8faaf2156c80bd']; loss = -1.813077
+Epoch 8:  91%|███████████████████████████████████████████████████     | 881/966 [31:31<03:02,  0.47it/s, v_num=s5n3]train step 8610; scene = ['dl3dv_2aad55a04491eb']; loss = -1.340710
+Epoch 8:  92%|███████████████████████████████████████████████████▋    | 891/966 [31:50<02:40,  0.47it/s, v_num=s5n3]train step 8620; scene = ['dl3dv_363ac093914a19']; loss = -1.467093
+Epoch 8:  93%|████████████████████████████████████████████████████▏   | 901/966 [32:10<02:19,  0.47it/s, v_num=s5n3]train step 8630; scene = ['dl3dv_dee9a9c1529b04']; loss = -1.796979
+Epoch 8:  94%|████████████████████████████████████████████████████▊   | 911/966 [32:30<01:57,  0.47it/s, v_num=s5n3]train step 8640; scene = ['dl3dv_a0deabf7a844a7']; loss = -1.191461
+Epoch 8:  95%|█████████████████████████████████████████████████████▍  | 921/966 [32:52<01:36,  0.47it/s, v_num=s5n3]train step 8650; scene = ['dl3dv_2901d9d7d5e201']; loss = -1.438977
+Epoch 8:  96%|█████████████████████████████████████████████████████▉  | 931/966 [33:13<01:14,  0.47it/s, v_num=s5n3]train step 8660; scene = ['dl3dv_6a10df4a5b371c']; loss = -0.843087
+Epoch 8:  97%|██████████████████████████████████████████████████████▌ | 941/966 [33:44<00:53,  0.46it/s, v_num=s5n3]train step 8670; scene = ['dl3dv_96b04705d50298']; loss = -1.562917
+Epoch 8:  98%|███████████████████████████████████████████████████████▏| 951/966 [34:03<00:32,  0.47it/s, v_num=s5n3]train step 8680; scene = ['dl3dv_7aa84be150532f']; loss = -1.528491
+Epoch 8:  99%|███████████████████████████████████████████████████████▋| 961/966 [34:24<00:10,  0.47it/s, v_num=s5n3]train step 8690; scene = ['dl3dv_4a23c5662b105e']; loss = -1.083675
+Epoch 9:   1%|▎                                                         | 5/966 [00:09<29:27,  0.54it/s, v_num=s5n3]train step 8700; scene = ['dl3dv_07a5d0f1abecee']; loss = -1.595167
+Epoch 9:   2%|▉                                                        | 15/966 [00:29<31:33,  0.50it/s, v_num=s5n3]train step 8710; scene = ['dl3dv_511f5e40938b8a']; loss = -1.312936
+Epoch 9:   3%|█▍                                                       | 25/966 [00:50<31:37,  0.50it/s, v_num=s5n3]train step 8720; scene = ['dl3dv_0602fa4dc0f80c']; loss = -1.096870
+Epoch 9:   4%|██                                                       | 35/966 [01:11<31:32,  0.49it/s, v_num=s5n3]train step 8730; scene = ['dl3dv_53ca72129513c0']; loss = -1.119456
+Epoch 9:   5%|██▋                                                      | 45/966 [01:31<31:08,  0.49it/s, v_num=s5n3]train step 8740; scene = ['dl3dv_77842a82aa74ac']; loss = -1.750546
+Epoch 9:   6%|███▏                                                     | 55/966 [01:50<30:28,  0.50it/s, v_num=s5n3]train step 8750; scene = ['dl3dv_d69b583539a416']; loss = -1.854172
+Epoch 9:   7%|███▊                                                     | 65/966 [02:09<29:58,  0.50it/s, v_num=s5n3]train step 8760; scene = ['dl3dv_3e217b620a1d4c']; loss = -1.553933
+Epoch 9:   8%|████▍                                                    | 75/966 [02:30<29:52,  0.50it/s, v_num=s5n3]train step 8770; scene = ['dl3dv_b5822a565a3749']; loss = -1.257579
+Epoch 9:   9%|█████                                                    | 85/966 [02:59<31:04,  0.47it/s, v_num=s5n3]train step 8780; scene = ['dl3dv_d465b6b7b59db7']; loss = -1.026135
+Epoch 9:  10%|█████▌                                                   | 95/966 [03:20<30:33,  0.47it/s, v_num=s5n3]train step 8790; scene = ['dl3dv_d0dfdc75275d53']; loss = -1.348886
+Epoch 9:  11%|██████                                                  | 105/966 [03:40<30:08,  0.48it/s, v_num=s5n3]train step 8800; scene = ['dl3dv_3307f7577d7c0b']; loss = -1.444746
+Epoch 9:  12%|██████▋                                                 | 115/966 [04:16<31:37,  0.45it/s, v_num=s5n3]train step 8810; scene = ['dl3dv_e15eeec49aedbf']; loss = -1.225621
+Epoch 9:  13%|███████▏                                                | 125/966 [04:36<31:01,  0.45it/s, v_num=s5n3]train step 8820; scene = ['dl3dv_2abdb4adf219f3', 'dl3dv_99c9051876bf25']; loss = -1.835952
+Epoch 9:  14%|███████▊                                                | 135/966 [04:57<30:28,  0.45it/s, v_num=s5n3]train step 8830; scene = ['dl3dv_3cd6d9689591ec']; loss = -1.758566
+Epoch 9:  15%|████████▍                                               | 145/966 [05:17<29:56,  0.46it/s, v_num=s5n3]train step 8840; scene = ['dl3dv_90a06c87b2a70a']; loss = -1.029081
+Epoch 9:  16%|████████▉                                               | 155/966 [05:36<29:21,  0.46it/s, v_num=s5n3]train step 8850; scene = ['dl3dv_eeb037b0b7b885']; loss = -1.470217
+Epoch 9:  17%|█████████▌                                              | 165/966 [05:56<28:53,  0.46it/s, v_num=s5n3]train step 8860; scene = ['dl3dv_ad917151905cc0', 'dl3dv_ac41bb001ee989', 'dl3dv_8e5ec29f81e6ad', 'dl3dv_a238b8bdb710d1', 'dl3dv_565b10714efbf0']; loss = -1.918646
+Epoch 9:  18%|██████████▏                                             | 175/966 [06:15<28:16,  0.47it/s, v_num=s5n3]train step 8870; scene = ['dl3dv_a949bada63bc70']; loss = -2.055147
+Epoch 9:  19%|██████████▋                                             | 185/966 [06:34<27:45,  0.47it/s, v_num=s5n3]train step 8880; scene = ['dl3dv_67f777a0b12680']; loss = -1.555195
+Epoch 9:  20%|███████████▎                                            | 195/966 [06:56<27:26,  0.47it/s, v_num=s5n3]train step 8890; scene = ['dl3dv_859b94bad45714']; loss = -1.363414
+Epoch 9:  21%|███████████▉                                            | 205/966 [07:14<26:54,  0.47it/s, v_num=s5n3]train step 8900; scene = ['dl3dv_f87152e94e4135']; loss = -1.256960
+Epoch 9:  22%|████████████▍                                           | 215/966 [07:35<26:31,  0.47it/s, v_num=s5n3]train step 8910; scene = ['dl3dv_baee08f261f718']; loss = -1.216090
+Epoch 9:  23%|█████████████                                           | 225/966 [08:05<26:38,  0.46it/s, v_num=s5n3]train step 8920; scene = ['dl3dv_b57a7b8f4c78c8']; loss = -1.477587
+Epoch 9:  24%|█████████████▌                                          | 235/966 [08:26<26:14,  0.46it/s, v_num=s5n3]train step 8930; scene = ['dl3dv_19b12468a08d01', 'dl3dv_9750426ffa035a', 'dl3dv_cd9b0a44802c95', 'dl3dv_84e7a29bf753f6', 'dl3dv_e10d3d87d9a21d']; loss = -2.044505
+Epoch 9:  25%|██████████████▏                                         | 245/966 [08:46<25:50,  0.47it/s, v_num=s5n3]train step 8940; scene = ['dl3dv_941eb7516b2ea5']; loss = -1.523034
+Epoch 9:  26%|██████████████▊                                         | 255/966 [09:06<25:24,  0.47it/s, v_num=s5n3]train step 8950; scene = ['dl3dv_2a74824544a5fe']; loss = -0.621683
+Epoch 9:  27%|███████████████▎                                        | 265/966 [09:26<24:57,  0.47it/s, v_num=s5n3]train step 8960; scene = ['dl3dv_368a11553ef250']; loss = -2.047320
+Epoch 9:  28%|███████████████▉                                        | 275/966 [09:46<24:32,  0.47it/s, v_num=s5n3]train step 8970; scene = ['dl3dv_4a4f49f04d5cd6']; loss = -1.473059
+Epoch 9:  30%|████████████████▌                                       | 285/966 [10:05<24:07,  0.47it/s, v_num=s5n3]train step 8980; scene = ['dl3dv_4010fb619f3a90']; loss = -0.818082
+Epoch 9:  31%|█████████████████                                       | 295/966 [10:24<23:40,  0.47it/s, v_num=s5n3]train step 8990; scene = ['dl3dv_a5697dd71a3edd']; loss = -1.260239
+Epoch 9:  32%|█████████████████▋                                      | 305/966 [10:44<23:16,  0.47it/s, v_num=s5n3]train step 9000; scene = ['dl3dv_9866c69da79128', 'dl3dv_838ef0da21d0e0']; loss = -1.219255
+Epoch 9:  32%|█████████████████▋                                      | 306/966 [10:48<23:18,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 9000; scene = ['room'];
+Epoch 9:  33%|██████████████████▎                                     | 315/966 [11:19<23:23,  0.46it/s, v_num=s5n3]train step 9010; scene = ['dl3dv_1ba82e2a93f414']; loss = -1.181281
+Epoch 9:  34%|██████████████████▊                                     | 325/966 [11:38<22:57,  0.47it/s, v_num=s5n3]train step 9020; scene = ['dl3dv_ad5380a1f764af']; loss = -1.628237
+Epoch 9:  35%|███████████████████▍                                    | 335/966 [11:58<22:33,  0.47it/s, v_num=s5n3]train step 9030; scene = ['dl3dv_82a80d729a4fb0']; loss = -1.492149
+Epoch 9:  36%|████████████████████                                    | 345/966 [12:16<22:05,  0.47it/s, v_num=s5n3]train step 9040; scene = ['dl3dv_a19e2cb58b1bab']; loss = -1.589043
+Epoch 9:  37%|████████████████████▌                                   | 355/966 [12:45<21:58,  0.46it/s, v_num=s5n3]train step 9050; scene = ['dl3dv_05ef6245091fe0']; loss = -0.453872
+Epoch 9:  38%|█████████████████████▏                                  | 365/966 [13:14<21:48,  0.46it/s, v_num=s5n3]train step 9060; scene = ['dl3dv_5c78ffe96dc7b8']; loss = -1.454510
+Epoch 9:  39%|█████████████████████▋                                  | 375/966 [13:33<21:22,  0.46it/s, v_num=s5n3]train step 9070; scene = ['dl3dv_2811d8c292cacc']; loss = -1.883952
+Epoch 9:  40%|██████████████████████▎                                 | 385/966 [13:53<20:57,  0.46it/s, v_num=s5n3]train step 9080; scene = ['dl3dv_68ac8d473fe630']; loss = -1.685307
+Epoch 9:  41%|██████████████████████▉                                 | 395/966 [14:12<20:32,  0.46it/s, v_num=s5n3]train step 9090; scene = ['dl3dv_779ff1b415c7c7']; loss = -1.220944
+Epoch 9:  42%|███████████████████████▍                                | 405/966 [14:31<20:07,  0.46it/s, v_num=s5n3]train step 9100; scene = ['dl3dv_86ddce1fe24bce']; loss = -1.333446
+Epoch 9:  43%|████████████████████████                                | 415/966 [14:51<19:44,  0.47it/s, v_num=s5n3]train step 9110; scene = ['dl3dv_3066a25870d03d']; loss = -1.640088
+Epoch 9:  44%|████████████████████████▋                               | 425/966 [15:10<19:19,  0.47it/s, v_num=s5n3]train step 9120; scene = ['dl3dv_6fcf98f309844c']; loss = -2.232543
+Epoch 9:  45%|█████████████████████████▏                              | 435/966 [15:29<18:54,  0.47it/s, v_num=s5n3]train step 9130; scene = ['dl3dv_739b2bc9a12701']; loss = -0.987493
+Epoch 9:  46%|█████████████████████████▊                              | 445/966 [15:49<18:32,  0.47it/s, v_num=s5n3]train step 9140; scene = ['dl3dv_08ae0fa97c34f6', 'dl3dv_dc7ca72b964a95']; loss = -1.628380
+Epoch 9:  47%|██████████████████████████▍                             | 455/966 [16:09<18:08,  0.47it/s, v_num=s5n3]train step 9150; scene = ['dl3dv_5e5991e9bca6e4']; loss = -1.389063
+Epoch 9:  48%|██████████████████████████▉                             | 465/966 [16:28<17:45,  0.47it/s, v_num=s5n3]train step 9160; scene = ['dl3dv_82aca2f675bb7d']; loss = -1.142855
+Epoch 9:  49%|███████████████████████████▌                            | 475/966 [16:47<17:21,  0.47it/s, v_num=s5n3]train step 9170; scene = ['dl3dv_6c539471970e07']; loss = -1.158220
+Epoch 9:  50%|████████████████████████████                            | 485/966 [17:07<16:58,  0.47it/s, v_num=s5n3]train step 9180; scene = ['dl3dv_1be473ec43a134']; loss = -1.260169
+Epoch 9:  51%|████████████████████████████▋                           | 495/966 [17:26<16:36,  0.47it/s, v_num=s5n3]train step 9190; scene = ['dl3dv_4527811824e13b']; loss = -1.572787
+Epoch 9:  52%|█████████████████████████████▎                          | 505/966 [17:47<16:14,  0.47it/s, v_num=s5n3]train step 9200; scene = ['dl3dv_35f91630518345']; loss = -1.464919
+Epoch 9:  53%|█████████████████████████████▊                          | 515/966 [18:11<15:55,  0.47it/s, v_num=s5n3]train step 9210; scene = ['dl3dv_26d80d4085d42f']; loss = -0.868171
+Epoch 9:  54%|██████████████████████████████▍                         | 525/966 [18:30<15:32,  0.47it/s, v_num=s5n3]train step 9220; scene = ['dl3dv_c07ac2cdc0dddc']; loss = -1.429236
+Epoch 9:  55%|███████████████████████████████                         | 535/966 [18:50<15:10,  0.47it/s, v_num=s5n3]train step 9230; scene = ['dl3dv_4ddfc1f1dd0102']; loss = -1.148603
+Epoch 9:  56%|███████████████████████████████▌                        | 545/966 [19:10<14:48,  0.47it/s, v_num=s5n3]train step 9240; scene = ['dl3dv_db498e6b687f98']; loss = -1.661709
+Epoch 9:  57%|████████████████████████████████▏                       | 555/966 [19:32<14:27,  0.47it/s, v_num=s5n3]train step 9250; scene = ['dl3dv_e5dcfbf5830ec4']; loss = -1.496584
+Epoch 9:  58%|████████████████████████████████▊                       | 565/966 [19:52<14:06,  0.47it/s, v_num=s5n3]train step 9260; scene = ['dl3dv_6dd7c4a0e624ad']; loss = -1.384292
+Epoch 9:  60%|█████████████████████████████████▎                      | 575/966 [20:12<13:44,  0.47it/s, v_num=s5n3]train step 9270; scene = ['dl3dv_48ed9f937b96e9']; loss = -1.183015
+Epoch 9:  61%|█████████████████████████████████▉                      | 585/966 [20:32<13:22,  0.47it/s, v_num=s5n3]train step 9280; scene = ['dl3dv_904d19b28abacb']; loss = -1.866183
+Epoch 9:  62%|██████████████████████████████████▍                     | 595/966 [20:51<13:00,  0.48it/s, v_num=s5n3]train step 9290; scene = ['dl3dv_68366ed49fe998']; loss = -1.385128
+Epoch 9:  63%|███████████████████████████████████                     | 605/966 [21:12<12:39,  0.48it/s, v_num=s5n3]train step 9300; scene = ['dl3dv_d9e2536342dd0a', 'dl3dv_da0ef9a1e3fc4c']; loss = -1.619251
+Epoch 9:  64%|███████████████████████████████████▋                    | 615/966 [21:32<12:17,  0.48it/s, v_num=s5n3]train step 9310; scene = ['dl3dv_24aa49b85f209a', 'dl3dv_8f64ce01dc9d19']; loss = -1.168776
+Epoch 9:  65%|████████████████████████████████████▏                   | 625/966 [22:03<12:02,  0.47it/s, v_num=s5n3]train step 9320; scene = ['dl3dv_353f6a1e158f0c']; loss = -1.083986
+Epoch 9:  66%|████████████████████████████████████▊                   | 635/966 [22:23<11:40,  0.47it/s, v_num=s5n3]train step 9330; scene = ['dl3dv_aad97ba714ecfe']; loss = -1.251285
+Epoch 9:  67%|█████████████████████████████████████▍                  | 645/966 [22:44<11:19,  0.47it/s, v_num=s5n3]train step 9340; scene = ['dl3dv_3a1254bf4346d7', 'dl3dv_171069b48122d3', 'dl3dv_f607cffacadec6', 'dl3dv_fc0ce3dd63eff4', 'dl3dv_20cc08e60beceb']; loss = -1.944034
+Epoch 9:  68%|█████████████████████████████████████▉                  | 655/966 [23:04<10:57,  0.47it/s, v_num=s5n3]train step 9350; scene = ['dl3dv_db4bea00b15122']; loss = -1.596697
+Epoch 9:  69%|██████████████████████████████████████▌                 | 665/966 [23:25<10:36,  0.47it/s, v_num=s5n3]train step 9360; scene = ['dl3dv_3ad7f927a8391d']; loss = -1.217312
+Epoch 9:  70%|███████████████████████████████████████▏                | 675/966 [23:45<10:14,  0.47it/s, v_num=s5n3]train step 9370; scene = ['dl3dv_03f8b0f40342db']; loss = -1.645546
+Epoch 9:  71%|███████████████████████████████████████▋                | 685/966 [24:21<09:59,  0.47it/s, v_num=s5n3]train step 9380; scene = ['dl3dv_530c4d02172bf4']; loss = -1.244943
+Epoch 9:  72%|████████████████████████████████████████▎               | 695/966 [24:41<09:37,  0.47it/s, v_num=s5n3]train step 9390; scene = ['dl3dv_04e10728a72872']; loss = -1.935968
+Epoch 9:  73%|████████████████████████████████████████▊               | 705/966 [24:58<09:14,  0.47it/s, v_num=s5n3]train step 9400; scene = ['dl3dv_b2f244c2aa0a7a']; loss = -1.937452
+Epoch 9:  74%|█████████████████████████████████████████▍              | 715/966 [25:26<08:55,  0.47it/s, v_num=s5n3]train step 9410; scene = ['dl3dv_fdd2ac117f12e4']; loss = -1.095464
+Epoch 9:  75%|██████████████████████████████████████████              | 725/966 [25:46<08:34,  0.47it/s, v_num=s5n3]train step 9420; scene = ['dl3dv_0c6f5d61c7936a']; loss = -1.192448
+Epoch 9:  76%|██████████████████████████████████████████▌             | 735/966 [26:17<08:15,  0.47it/s, v_num=s5n3]train step 9430; scene = ['dl3dv_59d0821c6a2631', 'dl3dv_7e875325851484', 'dl3dv_6393e1d91ca3bd']; loss = -1.551625
+Epoch 9:  77%|███████████████████████████████████████████▏            | 745/966 [26:38<07:54,  0.47it/s, v_num=s5n3]train step 9440; scene = ['dl3dv_28ab4b17e2eeea']; loss = -1.788088
+Epoch 9:  78%|███████████████████████████████████████████▊            | 755/966 [26:57<07:32,  0.47it/s, v_num=s5n3]train step 9450; scene = ['dl3dv_0c0d375f17394d']; loss = -1.726933
+Epoch 9:  79%|████████████████████████████████████████████▎           | 765/966 [27:16<07:10,  0.47it/s, v_num=s5n3]train step 9460; scene = ['dl3dv_ce9edf3a30691e']; loss = -1.054091
+Epoch 9:  80%|████████████████████████████████████████████▉           | 775/966 [27:37<06:48,  0.47it/s, v_num=s5n3]train step 9470; scene = ['dl3dv_62c418fc3f8395']; loss = -1.643040
+Epoch 9:  81%|█████████████████████████████████████████████▌          | 785/966 [27:58<06:26,  0.47it/s, v_num=s5n3]train step 9480; scene = ['dl3dv_16433dba9fd1e2', 'dl3dv_ae29c755368670', 'dl3dv_c5329cd2fcafbc', 'dl3dv_6318e20ae7aa01', 'dl3dv_c3ea9214be1c42']; loss = -1.982299
+Epoch 9:  82%|██████████████████████████████████████████████          | 795/966 [28:18<06:05,  0.47it/s, v_num=s5n3]train step 9490; scene = ['dl3dv_d145ff96ebdf2a']; loss = -1.613475
+Epoch 9:  83%|██████████████████████████████████████████████▋         | 805/966 [28:38<05:43,  0.47it/s, v_num=s5n3]train step 9500; scene = ['dl3dv_49a0a72f45701a']; loss = -0.942449
+Epoch 9:  83%|██████████████████████████████████████████████▋         | 806/966 [28:40<05:41,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 9500; scene = ['room'];
+Epoch 9:  84%|███████████████████████████████████████████████▏        | 815/966 [29:11<05:24,  0.47it/s, v_num=s5n3]train step 9510; scene = ['dl3dv_6013f50041ae62']; loss = -1.671728
+Epoch 9:  85%|███████████████████████████████████████████████▊        | 825/966 [29:30<05:02,  0.47it/s, v_num=s5n3]train step 9520; scene = ['dl3dv_0be3c2e40a4cc1']; loss = -1.417665
+Epoch 9:  86%|████████████████████████████████████████████████▍       | 835/966 [29:50<04:40,  0.47it/s, v_num=s5n3]train step 9530; scene = ['dl3dv_104d8f82b769f3']; loss = -2.351939
+Epoch 9:  87%|████████████████████████████████████████████████▉       | 845/966 [30:10<04:19,  0.47it/s, v_num=s5n3]train step 9540; scene = ['dl3dv_8e54b020fd3c31']; loss = -1.439570
+Epoch 9:  89%|█████████████████████████████████████████████████▌      | 855/966 [30:30<03:57,  0.47it/s, v_num=s5n3]train step 9550; scene = ['dl3dv_a47dbdd559be91', 'dl3dv_1c6bad855762d7']; loss = -1.513253
+Epoch 9:  90%|██████████████████████████████████████████████████▏     | 865/966 [30:50<03:36,  0.47it/s, v_num=s5n3]train step 9560; scene = ['dl3dv_1cccba63c364d7']; loss = -1.526980
+Epoch 9:  91%|██████████████████████████████████████████████████▋     | 875/966 [31:09<03:14,  0.47it/s, v_num=s5n3]train step 9570; scene = ['dl3dv_27aa2fc2a6def6']; loss = -1.369088
+Epoch 9:  92%|███████████████████████████████████████████████████▎    | 885/966 [31:29<02:52,  0.47it/s, v_num=s5n3]train step 9580; scene = ['dl3dv_7d6873ae55cf26']; loss = -1.774094
+Epoch 9:  93%|███████████████████████████████████████████████████▉    | 895/966 [31:59<02:32,  0.47it/s, v_num=s5n3]train step 9590; scene = ['dl3dv_26baddc99bea47']; loss = -1.317725
+Epoch 9:  94%|████████████████████████████████████████████████████▍   | 905/966 [32:20<02:10,  0.47it/s, v_num=s5n3]train step 9600; scene = ['dl3dv_4b3a94b74f835a']; loss = -0.904537
+Epoch 9:  95%|█████████████████████████████████████████████████████   | 915/966 [32:47<01:49,  0.47it/s, v_num=s5n3]train step 9610; scene = ['dl3dv_5c7b5d8b07efde']; loss = -1.400273
+Epoch 9:  96%|█████████████████████████████████████████████████████▌  | 925/966 [33:05<01:28,  0.47it/s, v_num=s5n3]train step 9620; scene = ['dl3dv_efa3c7402c62c3']; loss = -1.460773
+Epoch 9:  97%|██████████████████████████████████████████████████████▏ | 935/966 [33:25<01:06,  0.47it/s, v_num=s5n3]train step 9630; scene = ['dl3dv_1799c085fe28ce', 'dl3dv_d1011a56528fdd']; loss = -1.086583
+Epoch 9:  98%|██████████████████████████████████████████████████████▊ | 945/966 [33:45<00:45,  0.47it/s, v_num=s5n3]train step 9640; scene = ['dl3dv_23da622a9d29f6']; loss = -0.939398
+Epoch 9:  99%|███████████████████████████████████████████████████████▎| 955/966 [34:06<00:23,  0.47it/s, v_num=s5n3]train step 9650; scene = ['dl3dv_78393889c1bc74']; loss = -1.728923
+Epoch 9: 100%|███████████████████████████████████████████████████████▉| 965/966 [34:25<00:02,  0.47it/s, v_num=s5n3]train step 9660; scene = ['dl3dv_10720bc4e09285']; loss = -1.870823
+Epoch 10:   1%|▌                                                        | 9/966 [00:18<32:04,  0.50it/s, v_num=s5n3]train step 9670; scene = ['dl3dv_55daeb45a1e9e9']; loss = -1.393902
+Epoch 10:   2%|█                                                       | 19/966 [00:37<31:03,  0.51it/s, v_num=s5n3]train step 9680; scene = ['dl3dv_b9fa0dc0812def']; loss = -1.386458
+Epoch 10:   3%|█▋                                                      | 29/966 [00:55<30:03,  0.52it/s, v_num=s5n3]train step 9690; scene = ['dl3dv_0777b243c09e2d']; loss = -1.204434
+Epoch 10:   4%|██▎                                                     | 39/966 [01:24<33:20,  0.46it/s, v_num=s5n3]train step 9700; scene = ['dl3dv_b56eb95be1eddc']; loss = -1.176961
+Epoch 10:   5%|██▊                                                     | 49/966 [01:43<32:08,  0.48it/s, v_num=s5n3]train step 9710; scene = ['dl3dv_d8e247b6b89cc9']; loss = -1.584987
+Epoch 10:   6%|███▍                                                    | 59/966 [02:02<31:28,  0.48it/s, v_num=s5n3]train step 9720; scene = ['dl3dv_92cbf57d3ef298']; loss = -0.941397
+Epoch 10:   7%|████                                                    | 69/966 [02:32<33:04,  0.45it/s, v_num=s5n3]train step 9730; scene = ['dl3dv_ab5431cb90438d']; loss = -1.215259
+Epoch 10:   8%|████▌                                                   | 79/966 [02:52<32:19,  0.46it/s, v_num=s5n3]train step 9740; scene = ['dl3dv_64ed92f70e299c']; loss = -1.051345
+Epoch 10:   9%|█████▏                                                  | 89/966 [03:11<31:26,  0.46it/s, v_num=s5n3]train step 9750; scene = ['dl3dv_cf90fa91cc32b0']; loss = -1.206271
+Epoch 10:  10%|█████▋                                                  | 99/966 [03:31<30:54,  0.47it/s, v_num=s5n3]train step 9760; scene = ['dl3dv_2bf5b1f8adf18b']; loss = -1.271604
+Epoch 10:  11%|██████▏                                                | 109/966 [03:50<30:13,  0.47it/s, v_num=s5n3]train step 9770; scene = ['dl3dv_3d33659cacb385']; loss = -0.575211
+Epoch 10:  12%|██████▊                                                | 119/966 [04:09<29:38,  0.48it/s, v_num=s5n3]train step 9780; scene = ['dl3dv_19127ae8eb0b09']; loss = -1.327202
+Epoch 10:  13%|███████▎                                               | 129/966 [04:29<29:08,  0.48it/s, v_num=s5n3]train step 9790; scene = ['dl3dv_701c4ef6442d41']; loss = -0.840132
+Epoch 10:  14%|███████▉                                               | 139/966 [04:50<28:48,  0.48it/s, v_num=s5n3]train step 9800; scene = ['dl3dv_d0dfdc75275d53']; loss = -1.176901
+Epoch 10:  15%|████████▍                                              | 149/966 [05:20<29:16,  0.47it/s, v_num=s5n3]train step 9810; scene = ['dl3dv_6e90448e3f5a7b']; loss = -1.682063
+Epoch 10:  16%|█████████                                              | 159/966 [05:40<28:48,  0.47it/s, v_num=s5n3]train step 9820; scene = ['dl3dv_e15eeec49aedbf', 'dl3dv_839f322dc7f417']; loss = -1.306931
+Epoch 10:  17%|█████████▌                                             | 169/966 [06:09<29:00,  0.46it/s, v_num=s5n3]train step 9830; scene = ['dl3dv_95111a7236ae9c']; loss = -0.808656
+Epoch 10:  19%|██████████▏                                            | 179/966 [06:28<28:26,  0.46it/s, v_num=s5n3]train step 9840; scene = ['dl3dv_edb9f72761db55', 'dl3dv_f765e5ca1bee4a']; loss = -1.025991
+Epoch 10:  20%|██████████▊                                            | 189/966 [06:48<28:00,  0.46it/s, v_num=s5n3]train step 9850; scene = ['dl3dv_c37c2d151ad592']; loss = -1.284895
+Epoch 10:  21%|███████████▎                                           | 199/966 [07:09<27:36,  0.46it/s, v_num=s5n3]train step 9860; scene = ['dl3dv_99219d050b1d48']; loss = -0.975078
+Epoch 10:  22%|███████████▉                                           | 209/966 [07:29<27:08,  0.46it/s, v_num=s5n3]train step 9870; scene = ['dl3dv_ad917151905cc0']; loss = -0.939584
+Epoch 10:  23%|████████████▍                                          | 219/966 [07:49<26:40,  0.47it/s, v_num=s5n3]train step 9880; scene = ['dl3dv_7974cd748a9467']; loss = -1.677317
+Epoch 10:  24%|█████████████                                          | 229/966 [08:09<26:14,  0.47it/s, v_num=s5n3]train step 9890; scene = ['dl3dv_d3c338404bc63f']; loss = -1.108600
+Epoch 10:  25%|█████████████▌                                         | 239/966 [08:28<25:47,  0.47it/s, v_num=s5n3]train step 9900; scene = ['dl3dv_bb52af69632c9a']; loss = -1.873307
+Epoch 10:  26%|██████████████▏                                        | 249/966 [08:48<25:22,  0.47it/s, v_num=s5n3]train step 9910; scene = ['dl3dv_6d946c9e061de5']; loss = -1.330283
+Epoch 10:  27%|██████████████▋                                        | 259/966 [09:08<24:56,  0.47it/s, v_num=s5n3]train step 9920; scene = ['dl3dv_de8a78598a8ec4']; loss = -2.067757
+Epoch 10:  28%|███████████████▎                                       | 269/966 [09:28<24:32,  0.47it/s, v_num=s5n3]train step 9930; scene = ['dl3dv_59256fb2265817']; loss = -1.260263
+Epoch 10:  29%|███████████████▉                                       | 279/966 [09:48<24:09,  0.47it/s, v_num=s5n3]train step 9940; scene = ['dl3dv_2a1491a2ece879', 'dl3dv_15f5599721448f', 'dl3dv_19b12468a08d01', 'dl3dv_9750426ffa035a']; loss = -1.609304
+Epoch 10:  30%|████████████████▍                                      | 289/966 [10:07<23:43,  0.48it/s, v_num=s5n3]train step 9950; scene = ['dl3dv_bb58a35d49bcda']; loss = -1.596993
+Epoch 10:  31%|█████████████████                                      | 299/966 [10:28<23:21,  0.48it/s, v_num=s5n3]train step 9960; scene = ['dl3dv_2a74824544a5fe']; loss = -1.552683
+Epoch 10:  32%|█████████████████▌                                     | 309/966 [10:58<23:20,  0.47it/s, v_num=s5n3]train step 9970; scene = ['dl3dv_e4d7354b7fd57f', 'dl3dv_bf6158a77e4274']; loss = -1.555771
+Epoch 10:  33%|██████████████████▏                                    | 319/966 [11:19<22:58,  0.47it/s, v_num=s5n3]train step 9980; scene = ['dl3dv_3986d2fa128535']; loss = -1.267080
+Epoch 10:  34%|██████████████████▋                                    | 329/966 [11:50<22:56,  0.46it/s, v_num=s5n3]train step 9990; scene = ['dl3dv_340c0fffda49d0']; loss = -1.414227
+Epoch 10:  35%|███████████████████▎                                   | 339/966 [12:11<22:33,  0.46it/s, v_num=s5n3]train step 10000; scene = ['dl3dv_950814dd01bed5']; loss = -1.091067
+Epoch 10:  35%|███████████████████▎                                   | 340/966 [12:24<22:50,  0.46it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 10000; scene = ['room'];
+Epoch 10:  36%|███████████████████▊                                   | 349/966 [12:54<22:48,  0.45it/s, v_num=s5n3]train step 10010; scene = ['dl3dv_0a7cae4db88e25']; loss = -0.836424
+Epoch 10:  37%|████████████████████▍                                  | 359/966 [13:13<22:21,  0.45it/s, v_num=s5n3]train step 10020; scene = ['dl3dv_9cf09884e2dfbf', 'dl3dv_1ba82e2a93f414']; loss = -0.739097
+Epoch 10:  38%|█████████████████████                                  | 369/966 [13:32<21:54,  0.45it/s, v_num=s5n3]train step 10030; scene = ['dl3dv_41d24eea1e6641', 'dl3dv_0943ca5b5e8402']; loss = -1.998725
+Epoch 10:  39%|█████████████████████▌                                 | 379/966 [13:52<21:29,  0.46it/s, v_num=s5n3]train step 10040; scene = ['dl3dv_d246405a453779', 'dl3dv_f8b9cce57a3a74', 'dl3dv_8cc921f841cf4f', 'dl3dv_fcf5f9d41da328', 'dl3dv_a228aadf565d56']; loss = -1.890770
+Epoch 10:  40%|██████████████████████▏                                | 389/966 [14:12<21:04,  0.46it/s, v_num=s5n3]train step 10050; scene = ['dl3dv_a1e2208e07d051']; loss = -0.886562
+Epoch 10:  41%|██████████████████████▋                                | 399/966 [14:32<20:40,  0.46it/s, v_num=s5n3]train step 10060; scene = ['dl3dv_e7297caddaf87f']; loss = -2.123221
+Epoch 10:  42%|███████████████████████▎                               | 409/966 [14:51<20:14,  0.46it/s, v_num=s5n3]train step 10070; scene = ['dl3dv_51ba995fce57a5']; loss = -1.800051
+Epoch 10:  43%|███████████████████████▊                               | 419/966 [15:09<19:47,  0.46it/s, v_num=s5n3]train step 10080; scene = ['dl3dv_6589a9d709d018', 'dl3dv_66387e8dbaefd4']; loss = -1.316578
+Epoch 10:  44%|████████████████████████▍                              | 429/966 [15:29<19:23,  0.46it/s, v_num=s5n3]train step 10090; scene = ['dl3dv_b18ad42be0548c']; loss = -1.729548
+Epoch 10:  45%|████████████████████████▉                              | 439/966 [15:48<18:59,  0.46it/s, v_num=s5n3]train step 10100; scene = ['dl3dv_e6803f50f566cf']; loss = -2.212291
+Epoch 10:  46%|█████████████████████████▌                             | 449/966 [16:08<18:35,  0.46it/s, v_num=s5n3]train step 10110; scene = ['dl3dv_499b8322f3a553']; loss = -1.292816
+Epoch 10:  48%|██████████████████████████▏                            | 459/966 [16:27<18:10,  0.46it/s, v_num=s5n3]train step 10120; scene = ['dl3dv_259f9c29700c0a']; loss = -0.864942
+Epoch 10:  49%|██████████████████████████▋                            | 469/966 [16:45<17:45,  0.47it/s, v_num=s5n3]train step 10130; scene = ['dl3dv_fce43e01d8592f']; loss = -1.254322
+Epoch 10:  50%|███████████████████████████▎                           | 479/966 [17:05<17:23,  0.47it/s, v_num=s5n3]train step 10140; scene = ['dl3dv_f0a06a98486ad0']; loss = -0.986988
+Epoch 10:  51%|███████████████████████████▊                           | 489/966 [17:24<16:59,  0.47it/s, v_num=s5n3]train step 10150; scene = ['dl3dv_0bb8ca9f66eaf7']; loss = -1.353632
+Epoch 10:  52%|████████████████████████████▍                          | 499/966 [17:44<16:36,  0.47it/s, v_num=s5n3]train step 10160; scene = ['dl3dv_5716af42f9099e']; loss = -1.227676
+Epoch 10:  53%|████████████████████████████▉                          | 509/966 [18:04<16:13,  0.47it/s, v_num=s5n3]train step 10170; scene = ['dl3dv_e791783612a413']; loss = -1.518689
+Epoch 10:  54%|█████████████████████████████▌                         | 519/966 [18:23<15:50,  0.47it/s, v_num=s5n3]train step 10180; scene = ['dl3dv_a625d8ae1160b9']; loss = -1.547842
+Epoch 10:  55%|██████████████████████████████                         | 529/966 [18:42<15:27,  0.47it/s, v_num=s5n3]train step 10190; scene = ['dl3dv_61acc3a13531e0']; loss = -0.876602
+Epoch 10:  56%|██████████████████████████████▋                        | 539/966 [19:02<15:05,  0.47it/s, v_num=s5n3]train step 10200; scene = ['dl3dv_50eff098046cb0']; loss = -1.456122
+Epoch 10:  57%|███████████████████████████████▎                       | 549/966 [19:29<14:47,  0.47it/s, v_num=s5n3]train step 10210; scene = ['dl3dv_e4aa0cf286b915']; loss = -1.141395
+Epoch 10:  58%|███████████████████████████████▊                       | 559/966 [19:48<14:25,  0.47it/s, v_num=s5n3]train step 10220; scene = ['dl3dv_2439c5a887749e']; loss = -1.337496
+Epoch 10:  59%|████████████████████████████████▍                      | 569/966 [20:17<14:09,  0.47it/s, v_num=s5n3]train step 10230; scene = ['dl3dv_cd461070532350']; loss = -1.261696
+Epoch 10:  60%|████████████████████████████████▉                      | 579/966 [20:38<13:48,  0.47it/s, v_num=s5n3]train step 10240; scene = ['dl3dv_5e0eebb9666110']; loss = -1.090357
+Epoch 10:  61%|█████████████████████████████████▌                     | 589/966 [21:00<13:26,  0.47it/s, v_num=s5n3]train step 10250; scene = ['dl3dv_99c213e6429fa9']; loss = -1.207068
+Epoch 10:  62%|██████████████████████████████████                     | 599/966 [21:21<13:05,  0.47it/s, v_num=s5n3]train step 10260; scene = ['dl3dv_e880035bcf5901']; loss = -0.848619
+Epoch 10:  63%|██████████████████████████████████▋                    | 609/966 [21:41<12:42,  0.47it/s, v_num=s5n3]train step 10270; scene = ['dl3dv_88130950204a2e']; loss = -1.108281
+Epoch 10:  64%|███████████████████████████████████▏                   | 619/966 [22:01<12:20,  0.47it/s, v_num=s5n3]train step 10280; scene = ['dl3dv_f14b0cb6c137e8']; loss = -1.363604
+Epoch 10:  65%|███████████████████████████████████▊                   | 629/966 [22:22<11:59,  0.47it/s, v_num=s5n3]train step 10290; scene = ['dl3dv_01e85164d4f9ef']; loss = -1.340589
+Epoch 10:  66%|████████████████████████████████████▍                  | 639/966 [22:40<11:36,  0.47it/s, v_num=s5n3]train step 10300; scene = ['dl3dv_c0cdfe73b18a4d']; loss = -1.401458
+Epoch 10:  67%|████████████████████████████████████▉                  | 649/966 [22:59<11:13,  0.47it/s, v_num=s5n3]train step 10310; scene = ['dl3dv_f35f840e523354']; loss = -1.131082
+Epoch 10:  68%|█████████████████████████████████████▌                 | 659/966 [23:18<10:51,  0.47it/s, v_num=s5n3]train step 10320; scene = ['dl3dv_11aea2a3a90df9']; loss = -1.208061
+Epoch 10:  69%|██████████████████████████████████████                 | 669/966 [23:38<10:29,  0.47it/s, v_num=s5n3]train step 10330; scene = ['dl3dv_ac05634e8f9f50']; loss = -1.136157
+Epoch 10:  70%|██████████████████████████████████████▋                | 679/966 [24:09<10:12,  0.47it/s, v_num=s5n3]train step 10340; scene = ['dl3dv_9eb66d4e96f459', 'dl3dv_081ef73814f12f']; loss = -1.844179
+Epoch 10:  71%|███████████████████████████████████████▏               | 689/966 [24:28<09:50,  0.47it/s, v_num=s5n3]train step 10350; scene = ['dl3dv_d69eef63beb110']; loss = -1.081313
+Epoch 10:  72%|███████████████████████████████████████▊               | 699/966 [24:47<09:28,  0.47it/s, v_num=s5n3]train step 10360; scene = ['dl3dv_657cce09ac4aa1']; loss = -1.949746
+Epoch 10:  73%|████████████████████████████████████████▎              | 709/966 [25:06<09:06,  0.47it/s, v_num=s5n3]train step 10370; scene = ['dl3dv_e717067cb96cf8']; loss = -1.073406
+Epoch 10:  74%|████████████████████████████████████████▉              | 719/966 [25:25<08:44,  0.47it/s, v_num=s5n3]train step 10380; scene = ['dl3dv_43e4b3e16842ed']; loss = -1.683945
+Epoch 10:  75%|█████████████████████████████████████████▌             | 729/966 [25:46<08:22,  0.47it/s, v_num=s5n3]train step 10390; scene = ['dl3dv_30e97b4de3ed00']; loss = -1.576811
+Epoch 10:  77%|██████████████████████████████████████████             | 739/966 [26:06<08:01,  0.47it/s, v_num=s5n3]train step 10400; scene = ['dl3dv_40aadce0061760']; loss = -1.309949
+Epoch 10:  78%|██████████████████████████████████████████▋            | 749/966 [26:33<07:41,  0.47it/s, v_num=s5n3]train step 10410; scene = ['dl3dv_7a2a3503ecca3d']; loss = -1.542332
+Epoch 10:  79%|███████████████████████████████████████████▏           | 759/966 [26:51<07:19,  0.47it/s, v_num=s5n3]train step 10420; scene = ['dl3dv_0e24a8c5a728a4']; loss = -1.751433
+Epoch 10:  80%|███████████████████████████████████████████▊           | 769/966 [27:11<06:57,  0.47it/s, v_num=s5n3]train step 10430; scene = ['dl3dv_d81534b0e3a5a2']; loss = -0.286204
+Epoch 10:  81%|████████████████████████████████████████████▎          | 779/966 [27:31<06:36,  0.47it/s, v_num=s5n3]train step 10440; scene = ['dl3dv_6e3429a6f8b441']; loss = -0.481711
+Epoch 10:  82%|████████████████████████████████████████████▉          | 789/966 [27:50<06:14,  0.47it/s, v_num=s5n3]train step 10450; scene = ['dl3dv_1dd404b30d6914']; loss = -1.301382
+Epoch 10:  83%|█████████████████████████████████████████████▍         | 799/966 [28:09<05:53,  0.47it/s, v_num=s5n3]train step 10460; scene = ['dl3dv_94691ba17e7ccb']; loss = -1.218779
+Epoch 10:  84%|██████████████████████████████████████████████         | 809/966 [28:28<05:31,  0.47it/s, v_num=s5n3]train step 10470; scene = ['dl3dv_23cdcd0cd5b44a']; loss = -1.315868
+Epoch 10:  85%|██████████████████████████████████████████████▋        | 819/966 [28:46<05:09,  0.47it/s, v_num=s5n3]train step 10480; scene = ['dl3dv_352d1195947bd7']; loss = -0.910282
+Epoch 10:  86%|███████████████████████████████████████████████▏       | 829/966 [29:04<04:48,  0.48it/s, v_num=s5n3]train step 10490; scene = ['dl3dv_50759c66aeadc6']; loss = -1.166759
+Epoch 10:  87%|███████████████████████████████████████████████▊       | 839/966 [29:35<04:28,  0.47it/s, v_num=s5n3]train step 10500; scene = ['dl3dv_923b29f6c0b7e0']; loss = -1.470188
+Epoch 10:  87%|███████████████████████████████████████████████▊       | 840/966 [29:37<04:26,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 10500; scene = ['room'];
+Epoch 10:  88%|████████████████████████████████████████████████▎      | 849/966 [30:09<04:09,  0.47it/s, v_num=s5n3]train step 10510; scene = ['dl3dv_df7487a5143b29']; loss = -0.432844
+Epoch 10:  89%|████████████████████████████████████████████████▉      | 859/966 [30:29<03:47,  0.47it/s, v_num=s5n3]train step 10520; scene = ['dl3dv_ff1c3d039fff39']; loss = -1.463245
+Epoch 10:  90%|█████████████████████████████████████████████████▍     | 869/966 [30:49<03:26,  0.47it/s, v_num=s5n3]train step 10530; scene = ['dl3dv_3856f4feeb8702']; loss = -2.030612
+Epoch 10:  91%|██████████████████████████████████████████████████     | 879/966 [31:09<03:05,  0.47it/s, v_num=s5n3]train step 10540; scene = ['dl3dv_4cdc9a4ff5782c']; loss = -1.670093
+Epoch 10:  92%|██████████████████████████████████████████████████▌    | 889/966 [31:30<02:43,  0.47it/s, v_num=s5n3]train step 10550; scene = ['dl3dv_5b94500ee5d2d0']; loss = -1.589128
+Epoch 10:  93%|███████████████████████████████████████████████████▏   | 899/966 [31:49<02:22,  0.47it/s, v_num=s5n3]train step 10560; scene = ['dl3dv_a47dbdd559be91', 'dl3dv_1c6bad855762d7', 'dl3dv_746eb6806a2ec3', 'dl3dv_d3302c9225555c']; loss = -1.480486
+Epoch 10:  94%|███████████████████████████████████████████████████▊   | 909/966 [32:09<02:00,  0.47it/s, v_num=s5n3]train step 10570; scene = ['dl3dv_1cccba63c364d7']; loss = -2.077654
+Epoch 10:  95%|████████████████████████████████████████████████████▎  | 919/966 [32:28<01:39,  0.47it/s, v_num=s5n3]train step 10580; scene = ['dl3dv_b3bec34b72da2f']; loss = -0.434871
+Epoch 10:  96%|████████████████████████████████████████████████████▉  | 929/966 [32:49<01:18,  0.47it/s, v_num=s5n3]train step 10590; scene = ['dl3dv_641824e7b6252a']; loss = -0.770307
+Epoch 10:  97%|█████████████████████████████████████████████████████▍ | 939/966 [33:09<00:57,  0.47it/s, v_num=s5n3]train step 10600; scene = ['dl3dv_a9eb6445e38910']; loss = -1.341195
+Epoch 10:  98%|██████████████████████████████████████████████████████ | 949/966 [33:35<00:36,  0.47it/s, v_num=s5n3]train step 10610; scene = ['dl3dv_de38c9416e43f2']; loss = -0.789567
+Epoch 10:  99%|██████████████████████████████████████████████████████▌| 959/966 [34:05<00:14,  0.47it/s, v_num=s5n3]train step 10620; scene = ['dl3dv_40c4e2f751fe9c']; loss = -1.241342
+Epoch 11:   0%|▏                                                        | 3/966 [00:05<30:14,  0.53it/s, v_num=s5n3]train step 10630; scene = ['dl3dv_6faf38ca085f50']; loss = -1.586167
+Epoch 11:   1%|▊                                                       | 13/966 [00:26<32:47,  0.48it/s, v_num=s5n3]train step 10640; scene = ['dl3dv_7c1202853f98af']; loss = -1.837778
+Epoch 11:   2%|█▎                                                      | 23/966 [00:56<38:31,  0.41it/s, v_num=s5n3]train step 10650; scene = ['dl3dv_81a300434b2c17']; loss = -1.245510
+Epoch 11:   3%|█▉                                                      | 33/966 [01:16<36:05,  0.43it/s, v_num=s5n3]train step 10660; scene = ['dl3dv_ab63904b2d84d0']; loss = -1.379981
+Epoch 11:   4%|██▍                                                     | 43/966 [01:36<34:31,  0.45it/s, v_num=s5n3]train step 10670; scene = ['dl3dv_e1a07d9df49f03']; loss = -0.548770
+Epoch 11:   5%|███                                                     | 53/966 [01:55<33:05,  0.46it/s, v_num=s5n3]train step 10680; scene = ['dl3dv_f6767ab4dc490d']; loss = -1.260466
+Epoch 11:   7%|███▋                                                    | 63/966 [02:14<32:07,  0.47it/s, v_num=s5n3]train step 10690; scene = ['dl3dv_65cb3db083491e']; loss = -1.491601
+Epoch 11:   8%|████▏                                                   | 73/966 [02:34<31:34,  0.47it/s, v_num=s5n3]train step 10700; scene = ['dl3dv_27daa60e1fa93a']; loss = -1.401339
+Epoch 11:   9%|████▊                                                   | 83/966 [02:56<31:13,  0.47it/s, v_num=s5n3]train step 10710; scene = ['dl3dv_75b2430057a7ec']; loss = -1.520204
+Epoch 11:  10%|█████▍                                                  | 93/966 [03:16<30:41,  0.47it/s, v_num=s5n3]train step 10720; scene = ['dl3dv_c07106cc1e6c6b']; loss = -1.402507
+Epoch 11:  11%|█████▊                                                 | 103/966 [03:35<30:09,  0.48it/s, v_num=s5n3]train step 10730; scene = ['dl3dv_511f5e40938b8a']; loss = -1.230137
+Epoch 11:  12%|██████▍                                                | 113/966 [03:56<29:43,  0.48it/s, v_num=s5n3]train step 10740; scene = ['dl3dv_ab5431cb90438d']; loss = -1.636767
+Epoch 11:  13%|███████                                                | 123/966 [04:24<30:12,  0.47it/s, v_num=s5n3]train step 10750; scene = ['dl3dv_638f8f1d0cbc51']; loss = -1.162978
+Epoch 11:  14%|███████▌                                               | 133/966 [04:44<29:39,  0.47it/s, v_num=s5n3]train step 10760; scene = ['dl3dv_ba3dbeee5e6e8a']; loss = -1.894140
+Epoch 11:  15%|████████▏                                              | 143/966 [05:03<29:06,  0.47it/s, v_num=s5n3]train step 10770; scene = ['dl3dv_95fc63eb645ab4']; loss = -1.064109
+Epoch 11:  16%|████████▋                                              | 153/966 [05:23<28:41,  0.47it/s, v_num=s5n3]train step 10780; scene = ['dl3dv_cbd63ea41adf2a', 'dl3dv_3d33659cacb385']; loss = -1.590783
+Epoch 11:  17%|█████████▎                                             | 163/966 [05:43<28:14,  0.47it/s, v_num=s5n3]train step 10790; scene = ['dl3dv_8f2b3a31b4ce9d']; loss = -1.807527
+Epoch 11:  18%|█████████▊                                             | 173/966 [06:04<27:53,  0.47it/s, v_num=s5n3]train step 10800; scene = ['dl3dv_c61a46b036e884']; loss = -0.520338
+Epoch 11:  19%|██████████▍                                            | 183/966 [06:31<27:57,  0.47it/s, v_num=s5n3]train step 10810; scene = ['dl3dv_4df362276310af']; loss = -1.326427
+Epoch 11:  20%|██████████▉                                            | 193/966 [06:53<27:34,  0.47it/s, v_num=s5n3]train step 10820; scene = ['dl3dv_e106e63253cfab']; loss = -0.832841
+Epoch 11:  21%|███████████▌                                           | 203/966 [07:13<27:07,  0.47it/s, v_num=s5n3]train step 10830; scene = ['dl3dv_ae8131412b009b']; loss = -1.686058
+Epoch 11:  22%|████████████▏                                          | 213/966 [07:33<26:42,  0.47it/s, v_num=s5n3]train step 10840; scene = ['dl3dv_75367b5e26cb29']; loss = -1.093149
+Epoch 11:  23%|████████████▋                                          | 223/966 [07:54<26:20,  0.47it/s, v_num=s5n3]train step 10850; scene = ['dl3dv_6af6a850bc9769', 'dl3dv_42cfc1442ff4df', 'dl3dv_0f8edc01e239a5', 'dl3dv_1f5c364cecd746']; loss = -1.557916
+Epoch 11:  24%|█████████████▎                                         | 233/966 [08:14<25:55,  0.47it/s, v_num=s5n3]train step 10860; scene = ['dl3dv_1ba4c38ba32ca6']; loss = -1.347944
+Epoch 11:  25%|█████████████▊                                         | 243/966 [08:34<25:29,  0.47it/s, v_num=s5n3]train step 10870; scene = ['dl3dv_3c9623c480d148']; loss = -1.612392
+Epoch 11:  26%|██████████████▍                                        | 253/966 [08:53<25:04,  0.47it/s, v_num=s5n3]train step 10880; scene = ['dl3dv_cae9d1a1455422']; loss = -2.031184
+Epoch 11:  27%|██████████████▉                                        | 263/966 [09:23<25:07,  0.47it/s, v_num=s5n3]train step 10890; scene = ['dl3dv_2b6e1d96247001']; loss = -1.208692
+Epoch 11:  28%|███████████████▌                                       | 273/966 [09:53<25:05,  0.46it/s, v_num=s5n3]train step 10900; scene = ['dl3dv_f0012be5a74d6e']; loss = -1.341805
+Epoch 11:  29%|████████████████                                       | 283/966 [10:11<24:35,  0.46it/s, v_num=s5n3]train step 10910; scene = ['dl3dv_eb28a65d1dcb85']; loss = -1.146090
+Epoch 11:  30%|████████████████▋                                      | 293/966 [10:30<24:08,  0.46it/s, v_num=s5n3]train step 10920; scene = ['dl3dv_a8d3b8ebd64366']; loss = -0.997788
+Epoch 11:  31%|█████████████████▎                                     | 303/966 [10:50<23:43,  0.47it/s, v_num=s5n3]train step 10930; scene = ['dl3dv_ca8fa4506de6ca']; loss = -1.343968
+Epoch 11:  32%|█████████████████▊                                     | 313/966 [11:08<23:14,  0.47it/s, v_num=s5n3]train step 10940; scene = ['dl3dv_035036142b3f7c']; loss = -1.444249
+Epoch 11:  33%|██████████████████▍                                    | 323/966 [11:28<22:50,  0.47it/s, v_num=s5n3]train step 10950; scene = ['dl3dv_bb58a35d49bcda']; loss = -0.668863
+Epoch 11:  34%|██████████████████▉                                    | 333/966 [11:47<22:24,  0.47it/s, v_num=s5n3]train step 10960; scene = ['dl3dv_2a74824544a5fe']; loss = -1.033383
+Epoch 11:  36%|███████████████████▌                                   | 343/966 [12:06<21:59,  0.47it/s, v_num=s5n3]train step 10970; scene = ['dl3dv_bf6158a77e4274']; loss = -1.521658
+Epoch 11:  37%|████████████████████                                   | 353/966 [12:27<21:38,  0.47it/s, v_num=s5n3]train step 10980; scene = ['dl3dv_9ca887305c092b']; loss = -1.253852
+Epoch 11:  38%|████████████████████▋                                  | 363/966 [12:47<21:14,  0.47it/s, v_num=s5n3]train step 10990; scene = ['dl3dv_597416b087f2e0']; loss = -1.388265
+Epoch 11:  39%|█████████████████████▏                                 | 373/966 [13:06<20:50,  0.47it/s, v_num=s5n3]train step 11000; scene = ['dl3dv_b173bd3e5bde69']; loss = -0.919478
+Epoch 11:  39%|█████████████████████▎                                 | 374/966 [13:21<21:08,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 11000; scene = ['room'];
+Epoch 11:  40%|█████████████████████▊                                 | 383/966 [13:52<21:07,  0.46it/s, v_num=s5n3]train step 11010; scene = ['dl3dv_0f18df975babe4']; loss = -1.107632
+Epoch 11:  41%|██████████████████████▍                                | 393/966 [14:12<20:43,  0.46it/s, v_num=s5n3]train step 11020; scene = ['dl3dv_9cf09884e2dfbf']; loss = -1.380466
+Epoch 11:  42%|██████████████████████▉                                | 403/966 [14:31<20:17,  0.46it/s, v_num=s5n3]train step 11030; scene = ['dl3dv_f33ade27f3af36']; loss = -1.333799
+Epoch 11:  43%|███████████████████████▌                               | 413/966 [14:50<19:52,  0.46it/s, v_num=s5n3]train step 11040; scene = ['dl3dv_16cd2fd262f8e8', 'dl3dv_be1332ef9f4d1a']; loss = -1.439184
+Epoch 11:  44%|████████████████████████                               | 423/966 [15:11<19:29,  0.46it/s, v_num=s5n3]train step 11050; scene = ['dl3dv_e4b2946f0fb196']; loss = -1.119742
+Epoch 11:  45%|████████████████████████▋                              | 433/966 [15:31<19:06,  0.46it/s, v_num=s5n3]train step 11060; scene = ['dl3dv_414820827c435b']; loss = -0.917927
+Epoch 11:  46%|█████████████████████████▏                             | 443/966 [15:50<18:42,  0.47it/s, v_num=s5n3]train step 11070; scene = ['dl3dv_57e1fdccacb10a']; loss = -1.672976
+Epoch 11:  47%|█████████████████████████▊                             | 453/966 [16:10<18:18,  0.47it/s, v_num=s5n3]train step 11080; scene = ['dl3dv_facba3cdbb9e1f']; loss = -1.493804
+Epoch 11:  48%|██████████████████████████▎                            | 463/966 [16:30<17:56,  0.47it/s, v_num=s5n3]train step 11090; scene = ['dl3dv_68ac8d473fe630']; loss = -1.899403
+Epoch 11:  49%|██████████████████████████▉                            | 473/966 [16:49<17:32,  0.47it/s, v_num=s5n3]train step 11100; scene = ['dl3dv_682000f76389a4']; loss = -1.213649
+Epoch 11:  50%|███████████████████████████▌                           | 483/966 [17:09<17:09,  0.47it/s, v_num=s5n3]train step 11110; scene = ['dl3dv_a3715898ee7c2f']; loss = -1.035151
+Epoch 11:  51%|████████████████████████████                           | 493/966 [17:29<16:47,  0.47it/s, v_num=s5n3]train step 11120; scene = ['dl3dv_4ffa8b944802f7']; loss = -1.551055
+Epoch 11:  52%|████████████████████████████▋                          | 503/966 [17:50<16:25,  0.47it/s, v_num=s5n3]train step 11130; scene = ['dl3dv_d674a4fb101536']; loss = -2.141224
+Epoch 11:  53%|█████████████████████████████▏                         | 513/966 [18:09<16:02,  0.47it/s, v_num=s5n3]train step 11140; scene = ['dl3dv_e77f705bf340cf', 'dl3dv_f427c1dc0ec26c']; loss = -1.696525
+Epoch 11:  54%|█████████████████████████████▊                         | 523/966 [18:40<15:49,  0.47it/s, v_num=s5n3]train step 11150; scene = ['dl3dv_7a82fd5cdf8975']; loss = -1.229370
+Epoch 11:  55%|██████████████████████████████▎                        | 533/966 [18:59<15:25,  0.47it/s, v_num=s5n3]train step 11160; scene = ['dl3dv_7b78315f87aa29', 'dl3dv_ee86296175fa4b']; loss = -1.224834
+Epoch 11:  56%|██████████████████████████████▉                        | 543/966 [19:21<15:04,  0.47it/s, v_num=s5n3]train step 11170; scene = ['dl3dv_4c184b32ce0877']; loss = -0.868899
+Epoch 11:  57%|███████████████████████████████▍                       | 553/966 [19:40<14:41,  0.47it/s, v_num=s5n3]train step 11180; scene = ['dl3dv_643e02263355c6']; loss = -1.259865
+Epoch 11:  58%|████████████████████████████████                       | 563/966 [20:00<14:19,  0.47it/s, v_num=s5n3]train step 11190; scene = ['dl3dv_bb03c237321c95', 'dl3dv_72f6c27a58e8cf', 'dl3dv_1be473ec43a134', 'dl3dv_9557190d6892de']; loss = -1.732341
+Epoch 11:  59%|████████████████████████████████▌                      | 573/966 [20:21<13:57,  0.47it/s, v_num=s5n3]train step 11200; scene = ['dl3dv_2916df3aa3356b']; loss = -1.730959
+Epoch 11:  60%|█████████████████████████████████▏                     | 583/966 [20:49<13:40,  0.47it/s, v_num=s5n3]train step 11210; scene = ['dl3dv_f41c3c8110ea5e', 'dl3dv_35f91630518345', 'dl3dv_93acc2650718ba', 'dl3dv_1bf95be540d9fe']; loss = -1.690982
+Epoch 11:  61%|█████████████████████████████████▊                     | 593/966 [21:07<13:17,  0.47it/s, v_num=s5n3]train step 11220; scene = ['dl3dv_3258bc2a899068']; loss = -1.116367
+Epoch 11:  62%|██████████████████████████████████▎                    | 603/966 [21:27<12:55,  0.47it/s, v_num=s5n3]train step 11230; scene = ['dl3dv_c07ac2cdc0dddc']; loss = -1.505160
+Epoch 11:  63%|██████████████████████████████████▉                    | 613/966 [21:47<12:32,  0.47it/s, v_num=s5n3]train step 11240; scene = ['dl3dv_0c57b28a71afab']; loss = -0.938410
+Epoch 11:  64%|███████████████████████████████████▍                   | 623/966 [22:17<12:16,  0.47it/s, v_num=s5n3]train step 11250; scene = ['dl3dv_e880035bcf5901']; loss = -0.833149
+Epoch 11:  66%|████████████████████████████████████                   | 633/966 [22:37<11:54,  0.47it/s, v_num=s5n3]train step 11260; scene = ['dl3dv_2b7e8828952d1a']; loss = -0.985561
+Epoch 11:  67%|████████████████████████████████████▌                  | 643/966 [22:55<11:31,  0.47it/s, v_num=s5n3]train step 11270; scene = ['dl3dv_2013960876e1b9']; loss = -1.400882
+Epoch 11:  68%|█████████████████████████████████████▏                 | 653/966 [23:15<11:08,  0.47it/s, v_num=s5n3]train step 11280; scene = ['dl3dv_022b2aef50ac99']; loss = -1.506348
+Epoch 11:  69%|█████████████████████████████████████▋                 | 663/966 [23:34<10:46,  0.47it/s, v_num=s5n3]train step 11290; scene = ['dl3dv_fd25842fb3aa74']; loss = -1.757760
+Epoch 11:  70%|██████████████████████████████████████▎                | 673/966 [23:53<10:23,  0.47it/s, v_num=s5n3]train step 11300; scene = ['dl3dv_c3a9692e0756b2']; loss = -1.293741
+Epoch 11:  71%|██████████████████████████████████████▉                | 683/966 [24:12<10:01,  0.47it/s, v_num=s5n3]train step 11310; scene = ['dl3dv_11aea2a3a90df9']; loss = -1.284104
+Epoch 11:  72%|███████████████████████████████████████▍               | 693/966 [24:33<09:40,  0.47it/s, v_num=s5n3]train step 11320; scene = ['dl3dv_4847beb14cfd46']; loss = -1.933649
+Epoch 11:  73%|████████████████████████████████████████               | 703/966 [24:53<09:18,  0.47it/s, v_num=s5n3]train step 11330; scene = ['dl3dv_9eb66d4e96f459']; loss = -1.127349
+Epoch 11:  74%|████████████████████████████████████████▌              | 713/966 [25:13<08:56,  0.47it/s, v_num=s5n3]train step 11340; scene = ['dl3dv_3d76c5660803c3']; loss = -1.039624
+Epoch 11:  75%|█████████████████████████████████████████▏             | 723/966 [25:33<08:35,  0.47it/s, v_num=s5n3]train step 11350; scene = ['dl3dv_5838499f020ac0']; loss = -1.782259
+Epoch 11:  76%|█████████████████████████████████████████▋             | 733/966 [25:52<08:13,  0.47it/s, v_num=s5n3]train step 11360; scene = ['dl3dv_13c5d4fa7cc99f']; loss = -0.849281
+Epoch 11:  77%|██████████████████████████████████████████▎            | 743/966 [26:11<07:51,  0.47it/s, v_num=s5n3]train step 11370; scene = ['dl3dv_cb216489658310']; loss = -1.513951
+Epoch 11:  78%|██████████████████████████████████████████▊            | 753/966 [26:30<07:29,  0.47it/s, v_num=s5n3]train step 11380; scene = ['dl3dv_33bca89f0b2cff']; loss = -1.866611
+Epoch 11:  79%|███████████████████████████████████████████▍           | 763/966 [26:51<07:08,  0.47it/s, v_num=s5n3]train step 11390; scene = ['dl3dv_3a6e6469c146fc']; loss = -1.494138
+Epoch 11:  80%|████████████████████████████████████████████           | 773/966 [27:10<06:47,  0.47it/s, v_num=s5n3]train step 11400; scene = ['dl3dv_946e9c5a3a014e']; loss = -1.426151
+Epoch 11:  81%|████████████████████████████████████████████▌          | 783/966 [27:36<06:27,  0.47it/s, v_num=s5n3]train step 11410; scene = ['dl3dv_88ca5cd1ab93b4']; loss = -1.571532
+Epoch 11:  82%|█████████████████████████████████████████████▏         | 793/966 [28:07<06:08,  0.47it/s, v_num=s5n3]train step 11420; scene = ['dl3dv_a6e65bcb5470db']; loss = -0.682011
+Epoch 11:  83%|█████████████████████████████████████████████▋         | 803/966 [28:27<05:46,  0.47it/s, v_num=s5n3]train step 11430; scene = ['dl3dv_bb6522c9fad7ad']; loss = -0.467732
+Epoch 11:  84%|██████████████████████████████████████████████▎        | 813/966 [28:48<05:25,  0.47it/s, v_num=s5n3]train step 11440; scene = ['dl3dv_ca37448b27ea16']; loss = -1.752792
+Epoch 11:  85%|██████████████████████████████████████████████▊        | 823/966 [29:08<05:03,  0.47it/s, v_num=s5n3]train step 11450; scene = ['dl3dv_28ab4b17e2eeea']; loss = -1.505423
+Epoch 11:  86%|███████████████████████████████████████████████▍       | 833/966 [29:27<04:42,  0.47it/s, v_num=s5n3]train step 11460; scene = ['dl3dv_61b406a1cb2a25']; loss = -1.595515
+Epoch 11:  87%|███████████████████████████████████████████████▉       | 843/966 [29:45<04:20,  0.47it/s, v_num=s5n3]train step 11470; scene = ['dl3dv_e0738b69cac2ac']; loss = -0.944976
+Epoch 11:  88%|████████████████████████████████████████████████▌      | 853/966 [30:05<03:59,  0.47it/s, v_num=s5n3]train step 11480; scene = ['dl3dv_23cdcd0cd5b44a']; loss = -1.059672
+Epoch 11:  89%|█████████████████████████████████████████████████▏     | 863/966 [30:26<03:38,  0.47it/s, v_num=s5n3]train step 11490; scene = ['dl3dv_6318e20ae7aa01']; loss = -1.010772
+Epoch 11:  90%|█████████████████████████████████████████████████▋     | 873/966 [30:46<03:16,  0.47it/s, v_num=s5n3]train step 11500; scene = ['dl3dv_7f9dfe96ca5dea']; loss = -1.654282
+Epoch 11:  90%|█████████████████████████████████████████████████▊     | 874/966 [30:48<03:14,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 11500; scene = ['room'];
+Epoch 11:  91%|██████████████████████████████████████████████████▎    | 883/966 [31:18<02:56,  0.47it/s, v_num=s5n3]train step 11510; scene = ['dl3dv_3f86933a7609ff']; loss = -1.043712
+Epoch 11:  92%|██████████████████████████████████████████████████▊    | 893/966 [31:38<02:35,  0.47it/s, v_num=s5n3]train step 11520; scene = ['dl3dv_b199c587bb774c']; loss = -1.295152
+Epoch 11:  93%|███████████████████████████████████████████████████▍   | 903/966 [31:58<02:13,  0.47it/s, v_num=s5n3]train step 11530; scene = ['dl3dv_e22c1d52512d27']; loss = -1.501556
+Epoch 11:  95%|███████████████████████████████████████████████████▉   | 913/966 [32:26<01:53,  0.47it/s, v_num=s5n3]train step 11540; scene = ['dl3dv_4cdc9a4ff5782c', 'dl3dv_104d8f82b769f3']; loss = -1.667602
+Epoch 11:  96%|████████████████████████████████████████████████████▌  | 923/966 [32:46<01:31,  0.47it/s, v_num=s5n3]train step 11550; scene = ['dl3dv_f517d5d5cc7112']; loss = -0.935529
+Epoch 11:  97%|█████████████████████████████████████████████████████  | 933/966 [33:05<01:10,  0.47it/s, v_num=s5n3]train step 11560; scene = ['dl3dv_1907916562f439', 'dl3dv_a47dbdd559be91', 'dl3dv_1c6bad855762d7', 'dl3dv_746eb6806a2ec3', 'dl3dv_d3302c9225555c']; loss = -1.698641
+Epoch 11:  98%|█████████████████████████████████████████████████████▋ | 943/966 [33:33<00:49,  0.47it/s, v_num=s5n3]train step 11570; scene = ['dl3dv_1cccba63c364d7']; loss = -1.564057
+Epoch 11:  99%|██████████████████████████████████████████████████████▎| 953/966 [33:52<00:27,  0.47it/s, v_num=s5n3]train step 11580; scene = ['dl3dv_27aa2fc2a6def6']; loss = -1.412634
+Epoch 11: 100%|██████████████████████████████████████████████████████▊| 963/966 [34:12<00:06,  0.47it/s, v_num=s5n3]train step 11590; scene = ['dl3dv_7d6873ae55cf26']; loss = -1.166111
+Epoch 12:   1%|▍                                                        | 7/966 [00:13<30:31,  0.52it/s, v_num=s5n3]train step 11600; scene = ['dl3dv_26baddc99bea47']; loss = -1.239960
+Epoch 12:   2%|▉                                                       | 17/966 [00:38<35:58,  0.44it/s, v_num=s5n3]train step 11610; scene = ['dl3dv_4b3a94b74f835a', 'dl3dv_db516b2fe7b8b7']; loss = -0.462789
+Epoch 12:   3%|█▌                                                      | 27/966 [00:57<33:32,  0.47it/s, v_num=s5n3]train step 11620; scene = ['dl3dv_f350f7b2358e14']; loss = -0.353411
+Epoch 12:   4%|██▏                                                     | 37/966 [01:16<32:06,  0.48it/s, v_num=s5n3]train step 11630; scene = ['dl3dv_03618116150195']; loss = -1.315821
+Epoch 12:   5%|██▋                                                     | 47/966 [01:35<31:13,  0.49it/s, v_num=s5n3]train step 11640; scene = ['dl3dv_7bfb89aee6b207']; loss = -1.391632
+Epoch 12:   6%|███▎                                                    | 57/966 [01:56<31:04,  0.49it/s, v_num=s5n3]train step 11650; scene = ['dl3dv_90e70328f9196b']; loss = -1.061790
+Epoch 12:   7%|███▉                                                    | 67/966 [02:15<30:23,  0.49it/s, v_num=s5n3]train step 11660; scene = ['dl3dv_1a07a5f955391a']; loss = -1.673120
+Epoch 12:   8%|████▍                                                   | 77/966 [02:44<31:41,  0.47it/s, v_num=s5n3]train step 11670; scene = ['dl3dv_e8536925aa7a2b']; loss = -0.588920
+Epoch 12:   9%|█████                                                   | 87/966 [03:04<31:07,  0.47it/s, v_num=s5n3]train step 11680; scene = ['dl3dv_908a6d252e62f0']; loss = -0.444178
+Epoch 12:  10%|█████▌                                                  | 97/966 [03:25<30:40,  0.47it/s, v_num=s5n3]train step 11690; scene = ['dl3dv_d3577c15cfa086']; loss = -1.658190
+Epoch 12:  11%|██████                                                 | 107/966 [03:44<30:05,  0.48it/s, v_num=s5n3]train step 11700; scene = ['dl3dv_b9fa0dc0812def']; loss = -1.025002
+Epoch 12:  12%|██████▋                                                | 117/966 [04:04<29:32,  0.48it/s, v_num=s5n3]train step 11710; scene = ['dl3dv_4bfb56875a6e29', 'dl3dv_b9928ee1e6461b', 'dl3dv_a00442a9ff1856', 'dl3dv_0777b243c09e2d']; loss = -1.637455
+Epoch 12:  13%|███████▏                                               | 127/966 [04:23<29:00,  0.48it/s, v_num=s5n3]train step 11720; scene = ['dl3dv_6f45914dd95afd']; loss = -1.391304
+Epoch 12:  14%|███████▊                                               | 137/966 [04:41<28:22,  0.49it/s, v_num=s5n3]train step 11730; scene = ['dl3dv_511f5e40938b8a']; loss = -1.237548
+Epoch 12:  15%|████████▎                                              | 147/966 [05:00<27:54,  0.49it/s, v_num=s5n3]train step 11740; scene = ['dl3dv_0602fa4dc0f80c']; loss = -0.670322
+Epoch 12:  16%|████████▉                                              | 157/966 [05:22<27:40,  0.49it/s, v_num=s5n3]train step 11750; scene = ['dl3dv_8069d6f7f579f5']; loss = -1.079444
+Epoch 12:  17%|█████████▌                                             | 167/966 [05:42<27:18,  0.49it/s, v_num=s5n3]train step 11760; scene = ['dl3dv_656415d1bdc49d']; loss = -1.421927
+Epoch 12:  18%|██████████                                             | 177/966 [06:02<26:57,  0.49it/s, v_num=s5n3]train step 11770; scene = ['dl3dv_311e5b7ad1a349']; loss = -1.269375
+Epoch 12:  19%|██████████▋                                            | 187/966 [06:22<26:31,  0.49it/s, v_num=s5n3]train step 11780; scene = ['dl3dv_732d084adb3076']; loss = -1.016534
+Epoch 12:  20%|███████████▏                                           | 197/966 [06:42<26:11,  0.49it/s, v_num=s5n3]train step 11790; scene = ['dl3dv_701c4ef6442d41']; loss = -0.925178
+Epoch 12:  21%|███████████▊                                           | 207/966 [07:11<26:23,  0.48it/s, v_num=s5n3]train step 11800; scene = ['dl3dv_4df362276310af']; loss = -1.299470
+Epoch 12:  22%|████████████▎                                          | 217/966 [07:38<26:21,  0.47it/s, v_num=s5n3]train step 11810; scene = ['dl3dv_6e90448e3f5a7b']; loss = -1.498462
+Epoch 12:  23%|████████████▉                                          | 227/966 [08:07<26:26,  0.47it/s, v_num=s5n3]train step 11820; scene = ['dl3dv_1ea260764a123b']; loss = -1.229029
+Epoch 12:  25%|█████████████▍                                         | 237/966 [08:28<26:02,  0.47it/s, v_num=s5n3]train step 11830; scene = ['dl3dv_88ac21f6b73070']; loss = -0.826801
+Epoch 12:  26%|██████████████                                         | 247/966 [08:46<25:31,  0.47it/s, v_num=s5n3]train step 11840; scene = ['dl3dv_0f8edc01e239a5']; loss = -0.726485
+Epoch 12:  27%|██████████████▋                                        | 257/966 [09:07<25:09,  0.47it/s, v_num=s5n3]train step 11850; scene = ['dl3dv_1ba4c38ba32ca6']; loss = -1.330546
+Epoch 12:  28%|███████████████▏                                       | 267/966 [09:27<24:45,  0.47it/s, v_num=s5n3]train step 11860; scene = ['dl3dv_6ecbac7243f75c']; loss = -0.988693
+Epoch 12:  29%|███████████████▊                                       | 277/966 [09:49<24:25,  0.47it/s, v_num=s5n3]train step 11870; scene = ['dl3dv_cae9d1a1455422']; loss = -2.009041
+Epoch 12:  30%|████████████████▎                                      | 287/966 [10:09<24:01,  0.47it/s, v_num=s5n3]train step 11880; scene = ['dl3dv_9b05949b3fa6d9']; loss = -1.423711
+Epoch 12:  31%|████████████████▉                                      | 297/966 [10:26<23:31,  0.47it/s, v_num=s5n3]train step 11890; scene = ['dl3dv_191ae553d7ee31']; loss = -1.877218
+Epoch 12:  32%|█████████████████▍                                     | 307/966 [10:47<23:08,  0.47it/s, v_num=s5n3]train step 11900; scene = ['dl3dv_f0012be5a74d6e']; loss = -1.492478
+Epoch 12:  33%|██████████████████                                     | 317/966 [11:08<22:48,  0.47it/s, v_num=s5n3]train step 11910; scene = ['dl3dv_dac27615d100c7']; loss = -0.255008
+Epoch 12:  34%|██████████████████▌                                    | 327/966 [11:27<22:24,  0.48it/s, v_num=s5n3]train step 11920; scene = ['dl3dv_59310547fd174b']; loss = -1.512901
+Epoch 12:  35%|███████████████████▏                                   | 337/966 [11:47<22:00,  0.48it/s, v_num=s5n3]train step 11930; scene = ['dl3dv_680bb1d76e3148']; loss = -0.802512
+Epoch 12:  36%|███████████████████▊                                   | 347/966 [12:07<21:37,  0.48it/s, v_num=s5n3]train step 11940; scene = ['dl3dv_15f5599721448f', 'dl3dv_19b12468a08d01']; loss = -1.295318
+Epoch 12:  37%|████████████████████▎                                  | 357/966 [12:26<21:13,  0.48it/s, v_num=s5n3]train step 11950; scene = ['dl3dv_bf6f05dc346825']; loss = -0.799738
+Epoch 12:  38%|████████████████████▉                                  | 367/966 [12:46<20:51,  0.48it/s, v_num=s5n3]train step 11960; scene = ['dl3dv_be7713cc5d3700']; loss = -1.318375
+Epoch 12:  39%|█████████████████████▍                                 | 377/966 [13:06<20:29,  0.48it/s, v_num=s5n3]train step 11970; scene = ['dl3dv_3986d2fa128535', 'dl3dv_a9b62a7796b03c']; loss = -1.357634
+Epoch 12:  40%|██████████████████████                                 | 387/966 [13:27<20:07,  0.48it/s, v_num=s5n3]train step 11980; scene = ['dl3dv_ce7e31529a25c6']; loss = -1.162802
+Epoch 12:  41%|██████████████████████▌                                | 397/966 [13:47<19:46,  0.48it/s, v_num=s5n3]train step 11990; scene = ['dl3dv_91f1422ba8703d']; loss = -1.077946
+Epoch 12:  42%|███████████████████████▏                               | 407/966 [14:08<19:25,  0.48it/s, v_num=s5n3]train step 12000; scene = ['dl3dv_838ef0da21d0e0']; loss = -1.200676
+Epoch 12:  42%|███████████████████████▏                               | 408/966 [14:19<19:35,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 12000; scene = ['room'];
+Epoch 12:  43%|███████████████████████▋                               | 417/966 [14:51<19:33,  0.47it/s, v_num=s5n3]train step 12010; scene = ['dl3dv_0795f803444058']; loss = -1.019543
+Epoch 12:  44%|████████████████████████▎                              | 427/966 [15:10<19:09,  0.47it/s, v_num=s5n3]train step 12020; scene = ['dl3dv_b6e970fe3a597f', 'dl3dv_3c4af51254338f']; loss = -1.911466
+Epoch 12:  45%|████████████████████████▉                              | 437/966 [15:28<18:44,  0.47it/s, v_num=s5n3]train step 12030; scene = ['dl3dv_ca5353b546dc69', 'dl3dv_f7a6b8b1052c57', 'dl3dv_a19e9e8d14a70b']; loss = -1.386783
+Epoch 12:  46%|█████████████████████████▍                             | 447/966 [15:48<18:21,  0.47it/s, v_num=s5n3]train step 12040; scene = ['dl3dv_d246405a453779']; loss = -0.792189
+Epoch 12:  47%|██████████████████████████                             | 457/966 [16:07<17:58,  0.47it/s, v_num=s5n3]train step 12050; scene = ['dl3dv_427d58201f5291']; loss = -1.329548
+Epoch 12:  48%|██████████████████████████▌                            | 467/966 [16:35<17:43,  0.47it/s, v_num=s5n3]train step 12060; scene = ['dl3dv_efce02dd30f26f']; loss = -1.220799
+Epoch 12:  49%|███████████████████████████▏                           | 477/966 [16:56<17:21,  0.47it/s, v_num=s5n3]train step 12070; scene = ['dl3dv_209fd8621bd33e']; loss = -0.972299
+Epoch 12:  50%|███████████████████████████▋                           | 487/966 [17:16<16:59,  0.47it/s, v_num=s5n3]train step 12080; scene = ['dl3dv_fe4b843e9da982']; loss = -0.935423
+Epoch 12:  51%|████████████████████████████▎                          | 497/966 [17:34<16:35,  0.47it/s, v_num=s5n3]train step 12090; scene = ['dl3dv_68ac8d473fe630']; loss = -1.628232
+Epoch 12:  52%|████████████████████████████▊                          | 507/966 [17:55<16:13,  0.47it/s, v_num=s5n3]train step 12100; scene = ['dl3dv_63a9850d72dd87']; loss = -1.007821
+Epoch 12:  54%|█████████████████████████████▍                         | 517/966 [18:15<15:51,  0.47it/s, v_num=s5n3]train step 12110; scene = ['dl3dv_b347867d8528db']; loss = -1.498578
+Epoch 12:  55%|██████████████████████████████                         | 527/966 [18:34<15:28,  0.47it/s, v_num=s5n3]train step 12120; scene = ['dl3dv_06cb0994ecdca0']; loss = -1.280404
+Epoch 12:  56%|██████████████████████████████▌                        | 537/966 [18:54<15:06,  0.47it/s, v_num=s5n3]train step 12130; scene = ['dl3dv_10c3b0812712dc']; loss = -1.298141
+Epoch 12:  57%|███████████████████████████████▏                       | 547/966 [19:16<14:45,  0.47it/s, v_num=s5n3]train step 12140; scene = ['dl3dv_739b2bc9a12701']; loss = -0.959010
+Epoch 12:  58%|███████████████████████████████▋                       | 557/966 [19:35<14:23,  0.47it/s, v_num=s5n3]train step 12150; scene = ['dl3dv_2b3e99de4cbbb3']; loss = -1.044453
+Epoch 12:  59%|████████████████████████████████▎                      | 567/966 [19:56<14:02,  0.47it/s, v_num=s5n3]train step 12160; scene = ['dl3dv_da0a16fee5af7e']; loss = -1.496856
+Epoch 12:  60%|████████████████████████████████▊                      | 577/966 [20:28<13:47,  0.47it/s, v_num=s5n3]train step 12170; scene = ['dl3dv_a621748d87a0d9']; loss = -1.440573
+Epoch 12:  61%|█████████████████████████████████▍                     | 587/966 [20:48<13:26,  0.47it/s, v_num=s5n3]train step 12180; scene = ['dl3dv_eecea5c420c864', 'dl3dv_4ee1917efdc434', 'dl3dv_d95684e9ba71aa', 'dl3dv_19cdec8ab2d126']; loss = -1.611981
+Epoch 12:  62%|█████████████████████████████████▉                     | 597/966 [21:07<13:03,  0.47it/s, v_num=s5n3]train step 12190; scene = ['dl3dv_3237754575f092']; loss = -1.836272
+Epoch 12:  63%|██████████████████████████████████▌                    | 607/966 [21:26<12:40,  0.47it/s, v_num=s5n3]train step 12200; scene = ['dl3dv_69ee374748f17f']; loss = -1.569771
+Epoch 12:  64%|███████████████████████████████████▏                   | 617/966 [21:48<12:20,  0.47it/s, v_num=s5n3]train step 12210; scene = ['dl3dv_35f91630518345', 'dl3dv_93acc2650718ba']; loss = -1.309648
+Epoch 12:  65%|███████████████████████████████████▋                   | 627/966 [22:08<11:58,  0.47it/s, v_num=s5n3]train step 12220; scene = ['dl3dv_26d80d4085d42f', 'dl3dv_1dd1ac406875fd']; loss = -1.714910
+Epoch 12:  66%|████████████████████████████████████▎                  | 637/966 [22:28<11:36,  0.47it/s, v_num=s5n3]train step 12230; scene = ['dl3dv_c07ac2cdc0dddc', 'dl3dv_8be51e445ffbdd']; loss = -1.915425
+Epoch 12:  67%|████████████████████████████████████▊                  | 647/966 [22:47<11:14,  0.47it/s, v_num=s5n3]train step 12240; scene = ['dl3dv_94870846da63b9']; loss = -1.226261
+Epoch 12:  68%|█████████████████████████████████████▍                 | 657/966 [23:06<10:52,  0.47it/s, v_num=s5n3]train step 12250; scene = ['dl3dv_35e29dfc89f93b']; loss = -1.500817
+Epoch 12:  69%|█████████████████████████████████████▉                 | 667/966 [23:25<10:30,  0.47it/s, v_num=s5n3]train step 12260; scene = ['dl3dv_35fc245281d187']; loss = -1.584404
+Epoch 12:  70%|██████████████████████████████████████▌                | 677/966 [23:45<10:08,  0.47it/s, v_num=s5n3]train step 12270; scene = ['dl3dv_a48ca968e644e3']; loss = -0.718417
+Epoch 12:  71%|███████████████████████████████████████                | 687/966 [24:06<09:47,  0.47it/s, v_num=s5n3]train step 12280; scene = ['dl3dv_b68c5cfb8fb72a', 'dl3dv_022b2aef50ac99']; loss = -1.800972
+Epoch 12:  72%|███████████████████████████████████████▋               | 697/966 [24:25<09:25,  0.48it/s, v_num=s5n3]train step 12290; scene = ['dl3dv_909a3827979470']; loss = -1.173235
+Epoch 12:  73%|████████████████████████████████████████▎              | 707/966 [24:44<09:03,  0.48it/s, v_num=s5n3]train step 12300; scene = ['dl3dv_2e66da9a0ce659']; loss = -0.970665
+Epoch 12:  74%|████████████████████████████████████████▊              | 717/966 [25:05<08:42,  0.48it/s, v_num=s5n3]train step 12310; scene = ['dl3dv_da0ef9a1e3fc4c']; loss = -1.036594
+Epoch 12:  75%|█████████████████████████████████████████▍             | 727/966 [25:23<08:20,  0.48it/s, v_num=s5n3]train step 12320; scene = ['dl3dv_e1980c27ced71d']; loss = -1.825846
+Epoch 12:  76%|█████████████████████████████████████████▉             | 737/966 [25:43<07:59,  0.48it/s, v_num=s5n3]train step 12330; scene = ['dl3dv_f7ff229cf0f5e7']; loss = -1.045349
+Epoch 12:  77%|██████████████████████████████████████████▌            | 747/966 [26:12<07:41,  0.47it/s, v_num=s5n3]train step 12340; scene = ['dl3dv_987df029ec0c71']; loss = -0.991084
+Epoch 12:  78%|███████████████████████████████████████████            | 757/966 [26:33<07:19,  0.48it/s, v_num=s5n3]train step 12350; scene = ['dl3dv_3a1254bf4346d7']; loss = -1.335312
+Epoch 12:  79%|███████████████████████████████████████████▋           | 767/966 [26:54<06:58,  0.48it/s, v_num=s5n3]train step 12360; scene = ['dl3dv_db4bea00b15122']; loss = -0.680989
+Epoch 12:  80%|████████████████████████████████████████████▏          | 777/966 [27:14<06:37,  0.48it/s, v_num=s5n3]train step 12370; scene = ['dl3dv_e717067cb96cf8']; loss = -0.736415
+Epoch 12:  81%|████████████████████████████████████████████▊          | 787/966 [27:33<06:16,  0.48it/s, v_num=s5n3]train step 12380; scene = ['dl3dv_cd39b354eec8ce']; loss = -0.101281
+Epoch 12:  83%|█████████████████████████████████████████████▍         | 797/966 [27:54<05:54,  0.48it/s, v_num=s5n3]train step 12390; scene = ['dl3dv_8f9ea8ce989faa']; loss = -1.785567
+Epoch 12:  84%|█████████████████████████████████████████████▉         | 807/966 [28:14<05:33,  0.48it/s, v_num=s5n3]train step 12400; scene = ['dl3dv_4b6534b9b9d1d5']; loss = -1.369805
+Epoch 12:  85%|██████████████████████████████████████████████▌        | 817/966 [28:41<05:13,  0.47it/s, v_num=s5n3]train step 12410; scene = ['dl3dv_3c7a3f7df3f0e2']; loss = -1.957122
+Epoch 12:  86%|███████████████████████████████████████████████        | 827/966 [29:01<04:52,  0.47it/s, v_num=s5n3]train step 12420; scene = ['dl3dv_0c6f5d61c7936a']; loss = -1.006310
+Epoch 12:  87%|███████████████████████████████████████████████▋       | 837/966 [29:22<04:31,  0.47it/s, v_num=s5n3]train step 12430; scene = ['dl3dv_b4c14007eb2e0a']; loss = -1.089953
+Epoch 12:  88%|████████████████████████████████████████████████▏      | 847/966 [29:42<04:10,  0.48it/s, v_num=s5n3]train step 12440; scene = ['dl3dv_75a09eb338c49b']; loss = -0.941637
+Epoch 12:  89%|████████████████████████████████████████████████▊      | 857/966 [30:01<03:49,  0.48it/s, v_num=s5n3]train step 12450; scene = ['dl3dv_29375279ac618a']; loss = -1.172181
+Epoch 12:  90%|█████████████████████████████████████████████████▎     | 867/966 [30:31<03:29,  0.47it/s, v_num=s5n3]train step 12460; scene = ['dl3dv_6dc21c41126824']; loss = -0.785254
+Epoch 12:  91%|█████████████████████████████████████████████████▉     | 877/966 [30:50<03:07,  0.47it/s, v_num=s5n3]train step 12470; scene = ['dl3dv_8fd2f90fcd1696']; loss = -1.080438
+Epoch 12:  92%|██████████████████████████████████████████████████▌    | 887/966 [31:10<02:46,  0.47it/s, v_num=s5n3]train step 12480; scene = ['dl3dv_d61c5ef726ed1e']; loss = -1.193346
+Epoch 12:  93%|███████████████████████████████████████████████████    | 897/966 [31:39<02:26,  0.47it/s, v_num=s5n3]train step 12490; scene = ['dl3dv_c3ea9214be1c42']; loss = -1.340359
+Epoch 12:  94%|███████████████████████████████████████████████████▋   | 907/966 [31:58<02:04,  0.47it/s, v_num=s5n3]train step 12500; scene = ['dl3dv_033b3a59e52a75']; loss = -1.722607
+Epoch 12:  94%|███████████████████████████████████████████████████▋   | 908/966 [32:00<02:02,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 12500; scene = ['room'];
+Epoch 12:  95%|████████████████████████████████████████████████████▏  | 917/966 [32:32<01:44,  0.47it/s, v_num=s5n3]train step 12510; scene = ['dl3dv_ca0cd05c8df51e']; loss = -0.962168
+Epoch 12:  96%|████████████████████████████████████████████████████▊  | 927/966 [32:52<01:22,  0.47it/s, v_num=s5n3]train step 12520; scene = ['dl3dv_a24be84deda425']; loss = -1.964319
+Epoch 12:  97%|█████████████████████████████████████████████████████▎ | 937/966 [33:13<01:01,  0.47it/s, v_num=s5n3]train step 12530; scene = ['dl3dv_108e9df40eb3af']; loss = -1.020023
+Epoch 12:  98%|█████████████████████████████████████████████████████▉ | 947/966 [33:33<00:40,  0.47it/s, v_num=s5n3]train step 12540; scene = ['dl3dv_3856f4feeb8702']; loss = -1.651702
+Epoch 12:  99%|██████████████████████████████████████████████████████▍| 957/966 [33:53<00:19,  0.47it/s, v_num=s5n3]train step 12550; scene = ['dl3dv_806f6fcb0721e1']; loss = -1.260470
+Epoch 13:   0%|                                                         | 1/966 [00:02<36:33,  0.44it/s, v_num=s5n3]train step 12560; scene = ['dl3dv_a4c20f668ce179']; loss = -1.367511
+Epoch 13:   1%|▋                                                       | 11/966 [00:20<29:15,  0.54it/s, v_num=s5n3]train step 12570; scene = ['dl3dv_a47dbdd559be91']; loss = -1.603576
+Epoch 13:   2%|█▏                                                      | 21/966 [00:48<36:16,  0.43it/s, v_num=s5n3]train step 12580; scene = ['dl3dv_1cccba63c364d7']; loss = -1.542681
+Epoch 13:   3%|█▊                                                      | 31/966 [01:07<33:43,  0.46it/s, v_num=s5n3]train step 12590; scene = ['dl3dv_ec380ac3cb3649']; loss = -0.940864
+Epoch 13:   4%|██▍                                                     | 41/966 [01:28<33:16,  0.46it/s, v_num=s5n3]train step 12600; scene = ['dl3dv_cba2ae95c0294c']; loss = -0.954986
+Epoch 13:   5%|██▉                                                     | 51/966 [01:54<34:20,  0.44it/s, v_num=s5n3]train step 12610; scene = ['dl3dv_d227f5b7857fde']; loss = -1.326684
+Epoch 13:   6%|███▌                                                    | 61/966 [02:15<33:24,  0.45it/s, v_num=s5n3]train step 12620; scene = ['dl3dv_db516b2fe7b8b7']; loss = -0.972485
+Epoch 13:   7%|████                                                    | 71/966 [02:34<32:23,  0.46it/s, v_num=s5n3]train step 12630; scene = ['dl3dv_d034438a2ebaaa']; loss = -1.309273
+Epoch 13:   8%|████▋                                                   | 81/966 [02:54<31:43,  0.46it/s, v_num=s5n3]train step 12640; scene = ['dl3dv_a5b3aea49eb71d']; loss = -0.222886
+Epoch 13:   9%|█████▎                                                  | 91/966 [03:14<31:07,  0.47it/s, v_num=s5n3]train step 12650; scene = ['dl3dv_4f08b0607df9ce']; loss = -1.536950
+Epoch 13:  10%|█████▊                                                 | 101/966 [03:34<30:34,  0.47it/s, v_num=s5n3]train step 12660; scene = ['dl3dv_dee9a9c1529b04']; loss = -1.437868
+Epoch 13:  11%|██████▎                                                | 111/966 [03:53<29:59,  0.48it/s, v_num=s5n3]train step 12670; scene = ['dl3dv_a0deabf7a844a7']; loss = -1.246735
+Epoch 13:  13%|██████▉                                                | 121/966 [04:13<29:30,  0.48it/s, v_num=s5n3]train step 12680; scene = ['dl3dv_e8536925aa7a2b']; loss = -0.641675
+Epoch 13:  14%|███████▍                                               | 131/966 [04:32<28:58,  0.48it/s, v_num=s5n3]train step 12690; scene = ['dl3dv_908a6d252e62f0']; loss = -0.421067
+Epoch 13:  15%|████████                                               | 141/966 [04:52<28:32,  0.48it/s, v_num=s5n3]train step 12700; scene = ['dl3dv_af7eebc27427ad', 'dl3dv_25ef179c7c3c5f']; loss = -1.457747
+Epoch 13:  16%|████████▌                                              | 151/966 [05:22<29:01,  0.47it/s, v_num=s5n3]train step 12710; scene = ['dl3dv_f04a9c781ea5ab', 'dl3dv_a58df32f7be843']; loss = -1.387164
+Epoch 13:  17%|█████████▏                                             | 161/966 [05:42<28:31,  0.47it/s, v_num=s5n3]train step 12720; scene = ['dl3dv_b56eb95be1eddc']; loss = -1.071731
+Epoch 13:  18%|█████████▋                                             | 171/966 [06:12<28:50,  0.46it/s, v_num=s5n3]train step 12730; scene = ['dl3dv_e373f088de61c3']; loss = -1.597347
+Epoch 13:  19%|██████████▎                                            | 181/966 [06:32<28:21,  0.46it/s, v_num=s5n3]train step 12740; scene = ['dl3dv_a0bf94ec5da892']; loss = -1.396515
+Epoch 13:  20%|██████████▊                                            | 191/966 [06:51<27:49,  0.46it/s, v_num=s5n3]train step 12750; scene = ['dl3dv_ab5431cb90438d']; loss = -1.286926
+Epoch 13:  21%|███████████▍                                           | 201/966 [07:09<27:15,  0.47it/s, v_num=s5n3]train step 12760; scene = ['dl3dv_0742f6f08fec5b']; loss = -1.520928
+Epoch 13:  22%|████████████                                           | 211/966 [07:30<26:51,  0.47it/s, v_num=s5n3]train step 12770; scene = ['dl3dv_806e2bc4453d95']; loss = -1.844193
+Epoch 13:  23%|████████████▌                                          | 221/966 [07:50<26:24,  0.47it/s, v_num=s5n3]train step 12780; scene = ['dl3dv_98e31af3b7260f']; loss = -1.243573
+Epoch 13:  24%|█████████████▏                                         | 231/966 [08:09<25:58,  0.47it/s, v_num=s5n3]train step 12790; scene = ['dl3dv_19127ae8eb0b09']; loss = -1.859110
+Epoch 13:  25%|█████████████▋                                         | 241/966 [08:29<25:32,  0.47it/s, v_num=s5n3]train step 12800; scene = ['dl3dv_4bc1844b1a22de']; loss = -1.303282
+Epoch 13:  26%|██████████████▎                                        | 251/966 [08:59<25:38,  0.46it/s, v_num=s5n3]train step 12810; scene = ['dl3dv_827f1466974408']; loss = -1.801693
+Epoch 13:  27%|██████████████▊                                        | 261/966 [09:20<25:13,  0.47it/s, v_num=s5n3]train step 12820; scene = ['dl3dv_50cb47da264f13']; loss = -1.106794
+Epoch 13:  28%|███████████████▍                                       | 271/966 [09:40<24:48,  0.47it/s, v_num=s5n3]train step 12830; scene = ['dl3dv_ae8131412b009b']; loss = -0.829646
+Epoch 13:  29%|███████████████▉                                       | 281/966 [09:59<24:22,  0.47it/s, v_num=s5n3]train step 12840; scene = ['dl3dv_e209a091c1ec3b']; loss = -0.717009
+Epoch 13:  30%|████████████████▌                                      | 291/966 [10:20<23:58,  0.47it/s, v_num=s5n3]train step 12850; scene = ['dl3dv_739e7033719d15']; loss = -0.828224
+Epoch 13:  31%|█████████████████▏                                     | 301/966 [10:40<23:36,  0.47it/s, v_num=s5n3]train step 12860; scene = ['dl3dv_7c096bb6dc9ee5']; loss = -1.282397
+Epoch 13:  32%|█████████████████▋                                     | 311/966 [10:59<23:10,  0.47it/s, v_num=s5n3]train step 12870; scene = ['dl3dv_2204f9403702f5']; loss = -1.441807
+Epoch 13:  33%|██████████████████▎                                    | 321/966 [11:18<22:44,  0.47it/s, v_num=s5n3]train step 12880; scene = ['dl3dv_2b7f782e48551a']; loss = -1.504960
+Epoch 13:  34%|██████████████████▊                                    | 331/966 [11:39<22:21,  0.47it/s, v_num=s5n3]train step 12890; scene = ['dl3dv_ed5de1fd419d6b']; loss = -1.668072
+Epoch 13:  35%|███████████████████▍                                   | 341/966 [11:59<21:58,  0.47it/s, v_num=s5n3]train step 12900; scene = ['dl3dv_006771db3c0572']; loss = -1.832472
+Epoch 13:  36%|███████████████████▉                                   | 351/966 [12:19<21:35,  0.47it/s, v_num=s5n3]train step 12910; scene = ['dl3dv_db9e9d68182b12']; loss = -1.171436
+Epoch 13:  37%|████████████████████▌                                  | 361/966 [12:38<21:11,  0.48it/s, v_num=s5n3]train step 12920; scene = ['dl3dv_94891062d5704f']; loss = -1.105499
+Epoch 13:  38%|█████████████████████                                  | 371/966 [12:57<20:47,  0.48it/s, v_num=s5n3]train step 12930; scene = ['dl3dv_de8a78598a8ec4']; loss = -0.566890
+Epoch 13:  39%|█████████████████████▋                                 | 381/966 [13:17<20:24,  0.48it/s, v_num=s5n3]train step 12940; scene = ['dl3dv_680bb1d76e3148']; loss = -0.821815
+Epoch 13:  40%|██████████████████████▎                                | 391/966 [13:37<20:02,  0.48it/s, v_num=s5n3]train step 12950; scene = ['dl3dv_035036142b3f7c']; loss = -1.367742
+Epoch 13:  42%|██████████████████████▊                                | 401/966 [13:57<19:40,  0.48it/s, v_num=s5n3]train step 12960; scene = ['dl3dv_b41cfaca712e1a']; loss = -0.696327
+Epoch 13:  43%|███████████████████████▍                               | 411/966 [14:27<19:32,  0.47it/s, v_num=s5n3]train step 12970; scene = ['dl3dv_3ddf6b67310d26']; loss = -1.163363
+Epoch 13:  44%|███████████████████████▉                               | 421/966 [14:48<19:09,  0.47it/s, v_num=s5n3]train step 12980; scene = ['dl3dv_368a11553ef250']; loss = -1.845122
+Epoch 13:  45%|████████████████████████▌                              | 431/966 [15:07<18:45,  0.48it/s, v_num=s5n3]train step 12990; scene = ['dl3dv_69aa88092cb755']; loss = -1.438896
+Epoch 13:  46%|█████████████████████████                              | 441/966 [15:26<18:23,  0.48it/s, v_num=s5n3]train step 13000; scene = ['dl3dv_c0a917b7cc87df']; loss = -1.628535
+Epoch 13:  46%|█████████████████████████▏                             | 442/966 [15:35<18:28,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 13000; scene = ['room'];
+Epoch 13:  47%|█████████████████████████▋                             | 451/966 [16:05<18:22,  0.47it/s, v_num=s5n3]train step 13010; scene = ['dl3dv_91f1422ba8703d']; loss = -0.972023
+Epoch 13:  48%|██████████████████████████▏                            | 461/966 [16:27<18:01,  0.47it/s, v_num=s5n3]train step 13020; scene = ['dl3dv_a41019efa2f77d']; loss = -1.920523
+Epoch 13:  49%|██████████████████████████▊                            | 471/966 [16:47<17:38,  0.47it/s, v_num=s5n3]train step 13030; scene = ['dl3dv_e3ae4f21452e68']; loss = -1.221282
+Epoch 13:  50%|███████████████████████████▍                           | 481/966 [17:07<17:16,  0.47it/s, v_num=s5n3]train step 13040; scene = ['dl3dv_7b041463069a1c']; loss = -0.504976
+Epoch 13:  51%|███████████████████████████▉                           | 491/966 [17:28<16:54,  0.47it/s, v_num=s5n3]train step 13050; scene = ['dl3dv_a19e9e8d14a70b', 'dl3dv_a82da99d2e81b8']; loss = -1.567489
+Epoch 13:  52%|████████████████████████████▌                          | 501/966 [17:49<16:32,  0.47it/s, v_num=s5n3]train step 13060; scene = ['dl3dv_1e455b8e6b53e8']; loss = -1.295441
+Epoch 13:  53%|█████████████████████████████                          | 511/966 [18:08<16:08,  0.47it/s, v_num=s5n3]train step 13070; scene = ['dl3dv_a1bde4a423d614']; loss = -1.539246
+Epoch 13:  54%|█████████████████████████████▋                         | 521/966 [18:27<15:46,  0.47it/s, v_num=s5n3]train step 13080; scene = ['dl3dv_4b0f684e4fff72']; loss = -1.452902
+Epoch 13:  55%|██████████████████████████████▏                        | 531/966 [18:59<15:33,  0.47it/s, v_num=s5n3]train step 13090; scene = ['dl3dv_d416e2113deedc']; loss = -1.352413
+Epoch 13:  56%|██████████████████████████████▊                        | 541/966 [19:21<15:12,  0.47it/s, v_num=s5n3]train step 13100; scene = ['dl3dv_2811d8c292cacc', 'dl3dv_6589a9d709d018']; loss = -1.285575
+Epoch 13:  57%|███████████████████████████████▎                       | 551/966 [19:40<14:49,  0.47it/s, v_num=s5n3]train step 13110; scene = ['dl3dv_db8a905c14ce28', 'dl3dv_18889df723f3e4']; loss = -1.511101
+Epoch 13:  58%|███████████████████████████████▉                       | 561/966 [20:00<14:26,  0.47it/s, v_num=s5n3]train step 13120; scene = ['dl3dv_ae83db9ff9a7e7']; loss = -1.760760
+Epoch 13:  59%|████████████████████████████████▌                      | 571/966 [20:20<14:04,  0.47it/s, v_num=s5n3]train step 13130; scene = ['dl3dv_f1799bd50ced83']; loss = -1.530353
+Epoch 13:  60%|█████████████████████████████████                      | 581/966 [20:40<13:41,  0.47it/s, v_num=s5n3]train step 13140; scene = ['dl3dv_23379de431f067']; loss = -0.994081
+Epoch 13:  61%|█████████████████████████████████▋                     | 591/966 [21:00<13:20,  0.47it/s, v_num=s5n3]train step 13150; scene = ['dl3dv_f0a06a98486ad0']; loss = -0.999587
+Epoch 13:  62%|██████████████████████████████████▏                    | 601/966 [21:20<12:57,  0.47it/s, v_num=s5n3]train step 13160; scene = ['dl3dv_b9633624f111e1', 'dl3dv_0bb8ca9f66eaf7']; loss = -1.654593
+Epoch 13:  63%|██████████████████████████████████▊                    | 611/966 [21:41<12:36,  0.47it/s, v_num=s5n3]train step 13170; scene = ['dl3dv_5d4d8f16d74614', 'dl3dv_91b23daeb4cd9d']; loss = -1.281319
+Epoch 13:  64%|███████████████████████████████████▎                   | 621/966 [22:01<12:14,  0.47it/s, v_num=s5n3]train step 13180; scene = ['dl3dv_e791783612a413']; loss = -1.341375
+Epoch 13:  65%|███████████████████████████████████▉                   | 631/966 [22:21<11:52,  0.47it/s, v_num=s5n3]train step 13190; scene = ['dl3dv_ad583127096a85']; loss = -2.106126
+Epoch 13:  66%|████████████████████████████████████▍                  | 641/966 [22:42<11:30,  0.47it/s, v_num=s5n3]train step 13200; scene = ['dl3dv_127e75dff06bb2', 'dl3dv_61acc3a13531e0']; loss = -1.127771
+Epoch 13:  67%|█████████████████████████████████████                  | 651/966 [23:05<11:10,  0.47it/s, v_num=s5n3]train step 13210; scene = ['dl3dv_5c6bbc72993812']; loss = -0.469060
+Epoch 13:  68%|█████████████████████████████████████▋                 | 661/966 [23:26<10:48,  0.47it/s, v_num=s5n3]train step 13220; scene = ['dl3dv_49a22b523a1a6e']; loss = -1.369069
+Epoch 13:  69%|██████████████████████████████████████▏                | 671/966 [23:45<10:26,  0.47it/s, v_num=s5n3]train step 13230; scene = ['dl3dv_1d485a0d10d21b']; loss = -1.533908
+Epoch 13:  70%|██████████████████████████████████████▊                | 681/966 [24:06<10:05,  0.47it/s, v_num=s5n3]train step 13240; scene = ['dl3dv_fa63a3b6880830']; loss = -2.073745
+Epoch 13:  72%|███████████████████████████████████████▎               | 691/966 [24:35<09:47,  0.47it/s, v_num=s5n3]train step 13250; scene = ['dl3dv_dc455f8a6b1819']; loss = -1.103611
+Epoch 13:  73%|███████████████████████████████████████▉               | 701/966 [24:56<09:25,  0.47it/s, v_num=s5n3]train step 13260; scene = ['dl3dv_bd368b54e75b22']; loss = -1.506304
+Epoch 13:  74%|████████████████████████████████████████▍              | 711/966 [25:16<09:03,  0.47it/s, v_num=s5n3]train step 13270; scene = ['dl3dv_e880035bcf5901']; loss = -1.151643
+Epoch 13:  75%|█████████████████████████████████████████              | 721/966 [25:37<08:42,  0.47it/s, v_num=s5n3]train step 13280; scene = ['dl3dv_f58d9ebf1cc1ce']; loss = -1.190884
+Epoch 13:  76%|█████████████████████████████████████████▌             | 731/966 [25:56<08:20,  0.47it/s, v_num=s5n3]train step 13290; scene = ['dl3dv_51a802f3dc0268']; loss = -1.648601
+Epoch 13:  77%|██████████████████████████████████████████▏            | 741/966 [26:18<07:59,  0.47it/s, v_num=s5n3]train step 13300; scene = ['dl3dv_f26f586ba0163d']; loss = -1.141045
+Epoch 13:  78%|██████████████████████████████████████████▊            | 751/966 [26:37<07:37,  0.47it/s, v_num=s5n3]train step 13310; scene = ['dl3dv_fd1412fdf84ca7']; loss = -2.061178
+Epoch 13:  79%|███████████████████████████████████████████▎           | 761/966 [26:58<07:15,  0.47it/s, v_num=s5n3]train step 13320; scene = ['dl3dv_68366ed49fe998', 'dl3dv_38ed0d3a7f1244']; loss = -1.091740
+Epoch 13:  80%|███████████████████████████████████████████▉           | 771/966 [27:17<06:54,  0.47it/s, v_num=s5n3]train step 13330; scene = ['dl3dv_01d7ed1652516e']; loss = -1.393312
+Epoch 13:  81%|████████████████████████████████████████████▍          | 781/966 [27:36<06:32,  0.47it/s, v_num=s5n3]train step 13340; scene = ['dl3dv_0a4b45e7d9f03d']; loss = -1.066094
+Epoch 13:  82%|█████████████████████████████████████████████          | 791/966 [27:55<06:10,  0.47it/s, v_num=s5n3]train step 13350; scene = ['dl3dv_bc760d8d575e62']; loss = -1.584179
+Epoch 13:  83%|█████████████████████████████████████████████▌         | 801/966 [28:16<05:49,  0.47it/s, v_num=s5n3]train step 13360; scene = ['dl3dv_9eb66d4e96f459']; loss = -1.362746
+Epoch 13:  84%|██████████████████████████████████████████████▏        | 811/966 [28:37<05:28,  0.47it/s, v_num=s5n3]train step 13370; scene = ['dl3dv_96a1ffb54b8cf1']; loss = -1.223704
+Epoch 13:  85%|██████████████████████████████████████████████▋        | 821/966 [29:08<05:08,  0.47it/s, v_num=s5n3]train step 13380; scene = ['dl3dv_7681de3f520dd4']; loss = -1.389188
+Epoch 13:  86%|███████████████████████████████████████████████▎       | 831/966 [29:26<04:47,  0.47it/s, v_num=s5n3]train step 13390; scene = ['dl3dv_e717067cb96cf8', 'dl3dv_30c7c9dc71cea2', 'dl3dv_3ad7f927a8391d']; loss = -1.721471
+Epoch 13:  87%|███████████████████████████████████████████████▉       | 841/966 [29:46<04:25,  0.47it/s, v_num=s5n3]train step 13400; scene = ['dl3dv_cd39b354eec8ce']; loss = -0.557455
+Epoch 13:  88%|████████████████████████████████████████████████▍      | 851/966 [30:26<04:06,  0.47it/s, v_num=s5n3]train step 13410; scene = ['dl3dv_30e97b4de3ed00']; loss = -1.058538
+Epoch 13:  89%|█████████████████████████████████████████████████      | 861/966 [30:47<03:45,  0.47it/s, v_num=s5n3]train step 13420; scene = ['dl3dv_353d2a5ecffd34']; loss = -1.346014
+Epoch 13:  90%|█████████████████████████████████████████████████▌     | 871/966 [31:08<03:23,  0.47it/s, v_num=s5n3]train step 13430; scene = ['dl3dv_d1b0f051bf449f']; loss = -1.148626
+Epoch 13:  91%|██████████████████████████████████████████████████▏    | 881/966 [31:28<03:02,  0.47it/s, v_num=s5n3]train step 13440; scene = ['dl3dv_c7af6fee424493']; loss = -1.277443
+Epoch 13:  92%|██████████████████████████████████████████████████▋    | 891/966 [31:48<02:40,  0.47it/s, v_num=s5n3]train step 13450; scene = ['dl3dv_bd854c654988e9', 'dl3dv_5d3edcbba75de3']; loss = -2.164885
+Epoch 13:  93%|███████████████████████████████████████████████████▎   | 901/966 [32:06<02:18,  0.47it/s, v_num=s5n3]train step 13460; scene = ['dl3dv_ca37448b27ea16']; loss = -1.889150
+Epoch 13:  94%|███████████████████████████████████████████████████▊   | 911/966 [32:26<01:57,  0.47it/s, v_num=s5n3]train step 13470; scene = ['dl3dv_97f72cff0be966']; loss = -1.539089
+Epoch 13:  95%|████████████████████████████████████████████████████▍  | 921/966 [32:44<01:36,  0.47it/s, v_num=s5n3]train step 13480; scene = ['dl3dv_7990c58b659481']; loss = -1.555940
+Epoch 13:  96%|█████████████████████████████████████████████████████  | 931/966 [33:04<01:14,  0.47it/s, v_num=s5n3]train step 13490; scene = ['dl3dv_a3b4193a86ff11']; loss = -1.682040
+Epoch 13:  97%|█████████████████████████████████████████████████████▌ | 941/966 [33:32<00:53,  0.47it/s, v_num=s5n3]train step 13500; scene = ['dl3dv_2b0421cac37b19']; loss = -1.121102
+Epoch 13:  98%|█████████████████████████████████████████████████████▋ | 942/966 [33:34<00:51,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 13500; scene = ['room'];
+Epoch 13:  98%|██████████████████████████████████████████████████████▏| 951/966 [34:05<00:32,  0.46it/s, v_num=s5n3]train step 13510; scene = ['dl3dv_c3ea9214be1c42']; loss = -1.315817
+Epoch 13:  99%|██████████████████████████████████████████████████████▋| 961/966 [34:26<00:10,  0.47it/s, v_num=s5n3]train step 13520; scene = ['dl3dv_033b3a59e52a75']; loss = -1.463368
+Epoch 14:   1%|▎                                                        | 5/966 [00:10<35:04,  0.46it/s, v_num=s5n3]train step 13530; scene = ['dl3dv_49c3ca001a607d']; loss = -1.852906
+Epoch 14:   2%|▊                                                       | 15/966 [00:31<33:16,  0.48it/s, v_num=s5n3]train step 13540; scene = ['dl3dv_a24be84deda425']; loss = -2.121066
+Epoch 14:   3%|█▍                                                      | 25/966 [00:50<31:30,  0.50it/s, v_num=s5n3]train step 13550; scene = ['dl3dv_7e2c83acf4c890']; loss = -1.003132
+Epoch 14:   4%|██                                                      | 35/966 [01:11<31:51,  0.49it/s, v_num=s5n3]train step 13560; scene = ['dl3dv_8275c23418681a', 'dl3dv_f6fd68a35ac970', 'dl3dv_6356e7c341ab32']; loss = -1.597901
+Epoch 14:   5%|██▌                                                     | 45/966 [01:33<31:46,  0.48it/s, v_num=s5n3]train step 13570; scene = ['dl3dv_8e54b020fd3c31']; loss = -1.222583
+Epoch 14:   6%|███▏                                                    | 55/966 [01:51<30:45,  0.49it/s, v_num=s5n3]train step 13580; scene = ['dl3dv_f256b7659ee09c']; loss = -1.256344
+Epoch 14:   7%|███▊                                                    | 65/966 [02:11<30:21,  0.49it/s, v_num=s5n3]train step 13590; scene = ['dl3dv_85c6706310d545', 'dl3dv_bc57fb25d25e0a', 'dl3dv_6b83f447972d33']; loss = -1.297513
+Epoch 14:   8%|████▎                                                   | 75/966 [02:29<29:38,  0.50it/s, v_num=s5n3]train step 13600; scene = ['dl3dv_b3bec34b72da2f']; loss = -0.476449
+Epoch 14:   9%|████▉                                                   | 85/966 [02:59<31:00,  0.47it/s, v_num=s5n3]train step 13610; scene = ['dl3dv_7d6873ae55cf26']; loss = -1.286391
+Epoch 14:  10%|█████▌                                                  | 95/966 [03:18<30:21,  0.48it/s, v_num=s5n3]train step 13620; scene = ['dl3dv_26baddc99bea47']; loss = -1.331379
+Epoch 14:  11%|█████▉                                                 | 105/966 [03:38<29:52,  0.48it/s, v_num=s5n3]train step 13630; scene = ['dl3dv_31484e4f85c55a']; loss = -0.695443
+Epoch 14:  12%|██████▌                                                | 115/966 [04:10<30:52,  0.46it/s, v_num=s5n3]train step 13640; scene = ['dl3dv_8faaf2156c80bd']; loss = -1.616720
+Epoch 14:  13%|███████                                                | 125/966 [04:39<31:20,  0.45it/s, v_num=s5n3]train step 13650; scene = ['dl3dv_b7192f2ed5458d']; loss = -0.689346
+Epoch 14:  14%|███████▋                                               | 135/966 [04:58<30:35,  0.45it/s, v_num=s5n3]train step 13660; scene = ['dl3dv_5533e90ac5e548']; loss = -1.991634
+Epoch 14:  15%|████████▎                                              | 145/966 [05:17<29:57,  0.46it/s, v_num=s5n3]train step 13670; scene = ['dl3dv_1f2c6194a608f5']; loss = -1.538521
+Epoch 14:  16%|████████▊                                              | 155/966 [05:37<29:24,  0.46it/s, v_num=s5n3]train step 13680; scene = ['dl3dv_1a07a5f955391a']; loss = -1.891191
+Epoch 14:  17%|█████████▍                                             | 165/966 [05:56<28:48,  0.46it/s, v_num=s5n3]train step 13690; scene = ['dl3dv_10720bc4e09285', 'dl3dv_c8ab60cea99e57']; loss = -1.581087
+Epoch 14:  18%|█████████▉                                             | 175/966 [06:15<28:19,  0.47it/s, v_num=s5n3]train step 13700; scene = ['dl3dv_25ef179c7c3c5f', 'dl3dv_d3577c15cfa086', 'dl3dv_55daeb45a1e9e9']; loss = -1.757502
+Epoch 14:  19%|██████████▌                                            | 185/966 [06:35<27:51,  0.47it/s, v_num=s5n3]train step 13710; scene = ['dl3dv_f04a9c781ea5ab', 'dl3dv_a58df32f7be843']; loss = -1.129730
+Epoch 14:  20%|███████████                                            | 195/966 [06:57<27:31,  0.47it/s, v_num=s5n3]train step 13720; scene = ['dl3dv_d6ac1fb0511ea7']; loss = -1.759646
+Epoch 14:  21%|███████████▋                                           | 205/966 [07:17<27:03,  0.47it/s, v_num=s5n3]train step 13730; scene = ['dl3dv_713de64af2e184']; loss = -1.428910
+Epoch 14:  22%|████████████▏                                          | 215/966 [07:36<26:35,  0.47it/s, v_num=s5n3]train step 13740; scene = ['dl3dv_a0bf94ec5da892']; loss = -1.227441
+Epoch 14:  23%|████████████▊                                          | 225/966 [07:56<26:09,  0.47it/s, v_num=s5n3]train step 13750; scene = ['dl3dv_63081b08b949a5']; loss = -1.447116
+Epoch 14:  24%|█████████████▍                                         | 235/966 [08:16<25:43,  0.47it/s, v_num=s5n3]train step 13760; scene = ['dl3dv_a8c676d958778d']; loss = -1.628553
+Epoch 14:  25%|█████████████▉                                         | 245/966 [08:36<25:21,  0.47it/s, v_num=s5n3]train step 13770; scene = ['dl3dv_9aae8ae4d5ad1d']; loss = -1.262565
+Epoch 14:  26%|██████████████▌                                        | 255/966 [08:57<24:57,  0.47it/s, v_num=s5n3]train step 13780; scene = ['dl3dv_ed2b530d8b42cc']; loss = -1.722988
+Epoch 14:  27%|███████████████                                        | 265/966 [09:17<24:34,  0.48it/s, v_num=s5n3]train step 13790; scene = ['dl3dv_db83cb671b2950']; loss = -1.485050
+Epoch 14:  28%|███████████████▋                                       | 275/966 [09:36<24:07,  0.48it/s, v_num=s5n3]train step 13800; scene = ['dl3dv_bb1e9bcfaf2639']; loss = -1.546400
+Epoch 14:  30%|████████████████▏                                      | 285/966 [10:01<23:56,  0.47it/s, v_num=s5n3]train step 13810; scene = ['dl3dv_f7e924857c04ef']; loss = -1.717460
+Epoch 14:  31%|████████████████▊                                      | 295/966 [10:23<23:38,  0.47it/s, v_num=s5n3]train step 13820; scene = ['dl3dv_7f36f78d9f26d9']; loss = -1.324786
+Epoch 14:  32%|█████████████████▎                                     | 305/966 [10:43<23:13,  0.47it/s, v_num=s5n3]train step 13830; scene = ['dl3dv_e209a091c1ec3b', 'dl3dv_1a0888823b8f0f']; loss = -1.467299
+Epoch 14:  33%|█████████████████▉                                     | 315/966 [11:03<22:51,  0.47it/s, v_num=s5n3]train step 13840; scene = ['dl3dv_739e7033719d15']; loss = -0.983995
+Epoch 14:  34%|██████████████████▌                                    | 325/966 [11:23<22:28,  0.48it/s, v_num=s5n3]train step 13850; scene = ['dl3dv_c37c2d151ad592']; loss = -1.281416
+Epoch 14:  35%|███████████████████                                    | 335/966 [11:42<22:03,  0.48it/s, v_num=s5n3]train step 13860; scene = ['dl3dv_6ecbac7243f75c']; loss = -1.111944
+Epoch 14:  36%|███████████████████▋                                   | 345/966 [12:02<21:40,  0.48it/s, v_num=s5n3]train step 13870; scene = ['dl3dv_cae9d1a1455422']; loss = -2.350899
+Epoch 14:  37%|████████████████████▏                                  | 355/966 [12:33<21:37,  0.47it/s, v_num=s5n3]train step 13880; scene = ['dl3dv_1efa817bea6507']; loss = -1.052713
+Epoch 14:  38%|████████████████████▊                                  | 365/966 [12:53<21:14,  0.47it/s, v_num=s5n3]train step 13890; scene = ['dl3dv_191ae553d7ee31', 'dl3dv_607a1d646a8c13']; loss = -1.579195
+Epoch 14:  39%|█████████████████████▎                                 | 375/966 [13:14<20:52,  0.47it/s, v_num=s5n3]train step 13900; scene = ['dl3dv_2ea9e8680efb85']; loss = -1.605247
+Epoch 14:  40%|█████████████████████▉                                 | 385/966 [13:34<20:28,  0.47it/s, v_num=s5n3]train step 13910; scene = ['dl3dv_355fda97632e8c']; loss = -1.621468
+Epoch 14:  41%|██████████████████████▍                                | 395/966 [13:54<20:06,  0.47it/s, v_num=s5n3]train step 13920; scene = ['dl3dv_e6117af5999206', 'dl3dv_a8d3b8ebd64366']; loss = -1.276933
+Epoch 14:  42%|███████████████████████                                | 405/966 [14:14<19:43,  0.47it/s, v_num=s5n3]train step 13930; scene = ['dl3dv_8dc471c6dfe04d']; loss = -0.296529
+Epoch 14:  43%|███████████████████████▋                               | 415/966 [14:33<19:19,  0.48it/s, v_num=s5n3]train step 13940; scene = ['dl3dv_2a1491a2ece879']; loss = -0.982300
+Epoch 14:  44%|████████████████████████▏                              | 425/966 [14:54<18:58,  0.48it/s, v_num=s5n3]train step 13950; scene = ['dl3dv_5442ad412ab89b']; loss = -1.024752
+Epoch 14:  45%|████████████████████████▊                              | 435/966 [15:14<18:36,  0.48it/s, v_num=s5n3]train step 13960; scene = ['dl3dv_e45924a7fd587e']; loss = -1.630731
+Epoch 14:  46%|█████████████████████████▎                             | 445/966 [15:34<18:14,  0.48it/s, v_num=s5n3]train step 13970; scene = ['dl3dv_dbfa5e3da47dba']; loss = -1.783986
+Epoch 14:  47%|█████████████████████████▉                             | 455/966 [15:54<17:51,  0.48it/s, v_num=s5n3]train step 13980; scene = ['dl3dv_4010fb619f3a90']; loss = -1.058486
+Epoch 14:  48%|██████████████████████████▍                            | 465/966 [16:14<17:30,  0.48it/s, v_num=s5n3]train step 13990; scene = ['dl3dv_944789368528e8']; loss = -1.293572
+Epoch 14:  49%|███████████████████████████                            | 475/966 [16:34<17:08,  0.48it/s, v_num=s5n3]train step 14000; scene = ['dl3dv_39e7a4ad8f3bed']; loss = -1.529835
+Epoch 14:  49%|███████████████████████████                            | 476/966 [16:45<17:15,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 14000; scene = ['room'];
+Epoch 14:  50%|███████████████████████████▌                           | 485/966 [17:16<17:07,  0.47it/s, v_num=s5n3]train step 14010; scene = ['dl3dv_3c4af51254338f', 'dl3dv_bfa61d81284a7c']; loss = -1.783728
+Epoch 14:  51%|████████████████████████████▏                          | 495/966 [17:48<16:56,  0.46it/s, v_num=s5n3]train step 14020; scene = ['dl3dv_f7a6b8b1052c57']; loss = -1.427026
+Epoch 14:  52%|████████████████████████████▊                          | 505/966 [18:08<16:33,  0.46it/s, v_num=s5n3]train step 14030; scene = ['dl3dv_f8b9cce57a3a74']; loss = -1.055000
+Epoch 14:  53%|█████████████████████████████▎                         | 515/966 [18:30<16:12,  0.46it/s, v_num=s5n3]train step 14040; scene = ['dl3dv_427d58201f5291']; loss = -1.759509
+Epoch 14:  54%|█████████████████████████████▉                         | 525/966 [18:50<15:49,  0.46it/s, v_num=s5n3]train step 14050; scene = ['dl3dv_0310c5895a9ac3']; loss = -1.434227
+Epoch 14:  55%|██████████████████████████████▍                        | 535/966 [19:09<15:25,  0.47it/s, v_num=s5n3]train step 14060; scene = ['dl3dv_e1d047f311d1a2']; loss = -1.346079
+Epoch 14:  56%|███████████████████████████████                        | 545/966 [19:28<15:02,  0.47it/s, v_num=s5n3]train step 14070; scene = ['dl3dv_b26c8ee8396843']; loss = -1.005024
+Epoch 14:  57%|███████████████████████████████▌                       | 555/966 [19:48<14:40,  0.47it/s, v_num=s5n3]train step 14080; scene = ['dl3dv_397f9ef07173c8']; loss = -1.339582
+Epoch 14:  58%|████████████████████████████████▏                      | 565/966 [20:07<14:16,  0.47it/s, v_num=s5n3]train step 14090; scene = ['dl3dv_779ff1b415c7c7']; loss = -1.126978
+Epoch 14:  60%|████████████████████████████████▋                      | 575/966 [20:26<13:53,  0.47it/s, v_num=s5n3]train step 14100; scene = ['dl3dv_65eba9bf89fdf4']; loss = -1.519234
+Epoch 14:  61%|█████████████████████████████████▎                     | 585/966 [20:47<13:32,  0.47it/s, v_num=s5n3]train step 14110; scene = ['dl3dv_3066a25870d03d']; loss = -1.414856
+Epoch 14:  62%|█████████████████████████████████▉                     | 595/966 [21:05<13:09,  0.47it/s, v_num=s5n3]train step 14120; scene = ['dl3dv_6fcf98f309844c']; loss = -1.569275
+Epoch 14:  63%|██████████████████████████████████▍                    | 605/966 [21:25<12:46,  0.47it/s, v_num=s5n3]train step 14130; scene = ['dl3dv_6cb22a1620b1a2']; loss = -1.210623
+Epoch 14:  64%|███████████████████████████████████                    | 615/966 [21:45<12:24,  0.47it/s, v_num=s5n3]train step 14140; scene = ['dl3dv_5716af42f9099e']; loss = -1.603456
+Epoch 14:  65%|███████████████████████████████████▌                   | 625/966 [22:04<12:02,  0.47it/s, v_num=s5n3]train step 14150; scene = ['dl3dv_5e5991e9bca6e4']; loss = -1.494638
+Epoch 14:  66%|████████████████████████████████████▏                  | 635/966 [22:25<11:41,  0.47it/s, v_num=s5n3]train step 14160; scene = ['dl3dv_82aca2f675bb7d']; loss = -0.931653
+Epoch 14:  67%|████████████████████████████████████▋                  | 645/966 [22:56<11:24,  0.47it/s, v_num=s5n3]train step 14170; scene = ['dl3dv_6c539471970e07']; loss = -1.110777
+Epoch 14:  68%|█████████████████████████████████████▎                 | 655/966 [23:15<11:02,  0.47it/s, v_num=s5n3]train step 14180; scene = ['dl3dv_72f6c27a58e8cf']; loss = -1.324221
+Epoch 14:  69%|█████████████████████████████████████▊                 | 665/966 [23:34<10:40,  0.47it/s, v_num=s5n3]train step 14190; scene = ['dl3dv_ef1a5c3514939c']; loss = -1.510347
+Epoch 14:  70%|██████████████████████████████████████▍                | 675/966 [23:53<10:18,  0.47it/s, v_num=s5n3]train step 14200; scene = ['dl3dv_35f91630518345']; loss = -1.164872
+Epoch 14:  71%|███████████████████████████████████████                | 685/966 [24:19<09:58,  0.47it/s, v_num=s5n3]train step 14210; scene = ['dl3dv_26d80d4085d42f']; loss = -1.273242
+Epoch 14:  72%|███████████████████████████████████████▌               | 695/966 [24:38<09:36,  0.47it/s, v_num=s5n3]train step 14220; scene = ['dl3dv_5e0eebb9666110']; loss = -1.053011
+Epoch 14:  73%|████████████████████████████████████████▏              | 705/966 [24:57<09:14,  0.47it/s, v_num=s5n3]train step 14230; scene = ['dl3dv_526920bcac9a11', 'dl3dv_0c57b28a71afab']; loss = -1.521557
+Epoch 14:  74%|████████████████████████████████████████▋              | 715/966 [25:16<08:52,  0.47it/s, v_num=s5n3]train step 14240; scene = ['dl3dv_e880035bcf5901']; loss = -1.028756
+Epoch 14:  75%|█████████████████████████████████████████▎             | 725/966 [25:35<08:30,  0.47it/s, v_num=s5n3]train step 14250; scene = ['dl3dv_f58d9ebf1cc1ce']; loss = -0.857263
+Epoch 14:  76%|█████████████████████████████████████████▊             | 735/966 [25:54<08:08,  0.47it/s, v_num=s5n3]train step 14260; scene = ['dl3dv_a48ca968e644e3']; loss = -0.714089
+Epoch 14:  77%|██████████████████████████████████████████▍            | 745/966 [26:14<07:46,  0.47it/s, v_num=s5n3]train step 14270; scene = ['dl3dv_ef04b731df1b7c']; loss = -0.798916
+Epoch 14:  78%|██████████████████████████████████████████▉            | 755/966 [26:32<07:24,  0.47it/s, v_num=s5n3]train step 14280; scene = ['dl3dv_43101039ceceb9']; loss = -1.349727
+Epoch 14:  79%|███████████████████████████████████████████▌           | 765/966 [27:02<07:06,  0.47it/s, v_num=s5n3]train step 14290; scene = ['dl3dv_e3530991876588']; loss = -1.344271
+Epoch 14:  80%|████████████████████████████████████████████▏          | 775/966 [27:22<06:44,  0.47it/s, v_num=s5n3]train step 14300; scene = ['dl3dv_ea66a9d03111cd']; loss = -2.053347
+Epoch 14:  81%|████████████████████████████████████████████▋          | 785/966 [27:43<06:23,  0.47it/s, v_num=s5n3]train step 14310; scene = ['dl3dv_31cc2e0ce90478']; loss = -1.702626
+Epoch 14:  82%|█████████████████████████████████████████████▎         | 795/966 [28:03<06:02,  0.47it/s, v_num=s5n3]train step 14320; scene = ['dl3dv_bc760d8d575e62']; loss = -1.453070
+Epoch 14:  83%|█████████████████████████████████████████████▊         | 805/966 [28:33<05:42,  0.47it/s, v_num=s5n3]train step 14330; scene = ['dl3dv_804644909d1eb7']; loss = -1.345761
+Epoch 14:  84%|██████████████████████████████████████████████▍        | 815/966 [28:55<05:21,  0.47it/s, v_num=s5n3]train step 14340; scene = ['dl3dv_3d76c5660803c3']; loss = -1.334767
+Epoch 14:  85%|██████████████████████████████████████████████▉        | 825/966 [29:15<05:00,  0.47it/s, v_num=s5n3]train step 14350; scene = ['dl3dv_7ce2f4b59fd07b']; loss = -1.355670
+Epoch 14:  86%|███████████████████████████████████████████████▌       | 835/966 [29:36<04:38,  0.47it/s, v_num=s5n3]train step 14360; scene = ['dl3dv_4ffac73a6713dd']; loss = -1.652255
+Epoch 14:  87%|████████████████████████████████████████████████       | 845/966 [29:56<04:17,  0.47it/s, v_num=s5n3]train step 14370; scene = ['dl3dv_e717067cb96cf8']; loss = -1.096167
+Epoch 14:  89%|████████████████████████████████████████████████▋      | 855/966 [30:15<03:55,  0.47it/s, v_num=s5n3]train step 14380; scene = ['dl3dv_03f8b0f40342db']; loss = -1.754724
+Epoch 14:  90%|█████████████████████████████████████████████████▏     | 865/966 [30:35<03:34,  0.47it/s, v_num=s5n3]train step 14390; scene = ['dl3dv_8f9ea8ce989faa']; loss = -2.169617
+Epoch 14:  91%|█████████████████████████████████████████████████▊     | 875/966 [30:55<03:12,  0.47it/s, v_num=s5n3]train step 14400; scene = ['dl3dv_4b6534b9b9d1d5']; loss = -1.446213
+Epoch 14:  92%|██████████████████████████████████████████████████▍    | 885/966 [31:27<02:52,  0.47it/s, v_num=s5n3]train step 14410; scene = ['dl3dv_3c7a3f7df3f0e2']; loss = -1.918794
+Epoch 14:  93%|██████████████████████████████████████████████████▉    | 895/966 [31:46<02:31,  0.47it/s, v_num=s5n3]train step 14420; scene = ['dl3dv_4a00c50e99f92a']; loss = -1.925348
+Epoch 14:  94%|███████████████████████████████████████████████████▌   | 905/966 [32:06<02:09,  0.47it/s, v_num=s5n3]train step 14430; scene = ['dl3dv_b91d6319384be8']; loss = -1.297826
+Epoch 14:  95%|████████████████████████████████████████████████████   | 915/966 [32:27<01:48,  0.47it/s, v_num=s5n3]train step 14440; scene = ['dl3dv_88052babcfad4d']; loss = -1.260375
+Epoch 14:  96%|████████████████████████████████████████████████████▋  | 925/966 [32:47<01:27,  0.47it/s, v_num=s5n3]train step 14450; scene = ['dl3dv_82338071ffc0a0']; loss = -1.039884
+Epoch 14:  97%|█████████████████████████████████████████████████████▏ | 935/966 [33:06<01:05,  0.47it/s, v_num=s5n3]train step 14460; scene = ['dl3dv_61b406a1cb2a25']; loss = -1.331741
+Epoch 14:  98%|█████████████████████████████████████████████████████▊ | 945/966 [33:27<00:44,  0.47it/s, v_num=s5n3]train step 14470; scene = ['dl3dv_e8f708d17e93d1']; loss = -1.517027
+Epoch 14:  99%|██████████████████████████████████████████████████████▎| 955/966 [33:47<00:23,  0.47it/s, v_num=s5n3]train step 14480; scene = ['dl3dv_23cdcd0cd5b44a', 'dl3dv_2b0421cac37b19']; loss = -1.512008
+Epoch 14: 100%|██████████████████████████████████████████████████████▉| 965/966 [34:06<00:02,  0.47it/s, v_num=s5n3]train step 14490; scene = ['dl3dv_352d1195947bd7']; loss = -0.762020
+Epoch 15:   1%|▌                                                        | 9/966 [00:18<33:14,  0.48it/s, v_num=s5n3]train step 14500; scene = ['dl3dv_b68e1f8437b831']; loss = -1.537224
+Epoch 15:   1%|▌                                                       | 10/966 [00:20<33:13,  0.48it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 14500; scene = ['room'];
+Epoch 15:   2%|█                                                       | 19/966 [00:51<43:09,  0.37it/s, v_num=s5n3]train step 14510; scene = ['dl3dv_ca0cd05c8df51e']; loss = -0.928260
+Epoch 15:   3%|█▋                                                      | 29/966 [01:11<38:26,  0.41it/s, v_num=s5n3]train step 14520; scene = ['dl3dv_a24be84deda425']; loss = -1.740241
+Epoch 15:   4%|██▎                                                     | 39/966 [01:31<36:11,  0.43it/s, v_num=s5n3]train step 14530; scene = ['dl3dv_ff1c3d039fff39']; loss = -1.473460
+Epoch 15:   5%|██▊                                                     | 49/966 [01:50<34:27,  0.44it/s, v_num=s5n3]train step 14540; scene = ['dl3dv_e22c1d52512d27', 'dl3dv_0be3c2e40a4cc1']; loss = -1.799724
+Epoch 15:   6%|███▍                                                    | 59/966 [02:21<36:08,  0.42it/s, v_num=s5n3]train step 14550; scene = ['dl3dv_d2ab867f3ade02', 'dl3dv_4cdc9a4ff5782c']; loss = -1.770889
+Epoch 15:   7%|████                                                    | 69/966 [02:41<35:02,  0.43it/s, v_num=s5n3]train step 14560; scene = ['dl3dv_72f79bc2e992fa']; loss = -0.766775
+Epoch 15:   8%|████▌                                                   | 79/966 [03:10<35:39,  0.41it/s, v_num=s5n3]train step 14570; scene = ['dl3dv_1c6bad855762d7']; loss = -1.128296
+Epoch 15:   9%|█████▏                                                  | 89/966 [03:32<34:53,  0.42it/s, v_num=s5n3]train step 14580; scene = ['dl3dv_ae14f9c36912c3']; loss = -0.931389
+Epoch 15:  10%|█████▋                                                  | 99/966 [03:52<33:57,  0.43it/s, v_num=s5n3]train step 14590; scene = ['dl3dv_6a6f4fdf144d16']; loss = -0.991778
+Epoch 15:  11%|██████▏                                                | 109/966 [04:11<32:59,  0.43it/s, v_num=s5n3]train step 14600; scene = ['dl3dv_07d469b7e483a7']; loss = -1.273293
+Epoch 15:  12%|██████▊                                                | 119/966 [04:36<32:47,  0.43it/s, v_num=s5n3]train step 14610; scene = ['dl3dv_db516b2fe7b8b7']; loss = -1.259711
+Epoch 15:  13%|███████▎                                               | 129/966 [04:55<32:00,  0.44it/s, v_num=s5n3]train step 14620; scene = ['dl3dv_5c7b5d8b07efde']; loss = -1.684083
+Epoch 15:  14%|███████▉                                               | 139/966 [05:16<31:22,  0.44it/s, v_num=s5n3]train step 14630; scene = ['dl3dv_952bbb8f5ef569']; loss = -1.411106
+Epoch 15:  15%|████████▍                                              | 149/966 [05:36<30:43,  0.44it/s, v_num=s5n3]train step 14640; scene = ['dl3dv_45e10649aa9818']; loss = -1.892103
+Epoch 15:  16%|█████████                                              | 159/966 [05:55<30:04,  0.45it/s, v_num=s5n3]train step 14650; scene = ['dl3dv_079fa662f29b06']; loss = -1.302205
+Epoch 15:  17%|█████████▌                                             | 169/966 [06:16<29:33,  0.45it/s, v_num=s5n3]train step 14660; scene = ['dl3dv_04bdae0d52e1ba']; loss = -1.363394
+Epoch 15:  19%|██████████▏                                            | 179/966 [06:35<28:59,  0.45it/s, v_num=s5n3]train step 14670; scene = ['dl3dv_716bd72d1405f8']; loss = -1.325154
+Epoch 15:  20%|██████████▊                                            | 189/966 [06:54<28:25,  0.46it/s, v_num=s5n3]train step 14680; scene = ['dl3dv_e2819ef0317dd2']; loss = -1.203201
+Epoch 15:  21%|███████████▎                                           | 199/966 [07:14<27:52,  0.46it/s, v_num=s5n3]train step 14690; scene = ['dl3dv_d3577c15cfa086']; loss = -1.535315
+Epoch 15:  22%|███████████▉                                           | 209/966 [07:33<27:20,  0.46it/s, v_num=s5n3]train step 14700; scene = ['dl3dv_b9fa0dc0812def']; loss = -1.129371
+Epoch 15:  23%|████████████▍                                          | 219/966 [07:54<26:58,  0.46it/s, v_num=s5n3]train step 14710; scene = ['dl3dv_a00442a9ff1856', 'dl3dv_0777b243c09e2d']; loss = -1.672867
+Epoch 15:  24%|█████████████                                          | 229/966 [08:15<26:34,  0.46it/s, v_num=s5n3]train step 14720; scene = ['dl3dv_e51229d48c32f7', 'dl3dv_a109c57929545a']; loss = -1.507590
+Epoch 15:  25%|█████████████▌                                         | 239/966 [08:36<26:10,  0.46it/s, v_num=s5n3]train step 14730; scene = ['dl3dv_99a271d7cf5fde']; loss = -1.523287
+Epoch 15:  26%|██████████████▏                                        | 249/966 [08:55<25:41,  0.47it/s, v_num=s5n3]train step 14740; scene = ['dl3dv_522e2383dc7146']; loss = -1.209285
+Epoch 15:  27%|██████████████▋                                        | 259/966 [09:15<25:16,  0.47it/s, v_num=s5n3]train step 14750; scene = ['dl3dv_6e66bb8eb8efaf']; loss = -1.216282
+Epoch 15:  28%|███████████████▎                                       | 269/966 [09:35<24:50,  0.47it/s, v_num=s5n3]train step 14760; scene = ['dl3dv_d0a84228d81539']; loss = -1.664250
+Epoch 15:  29%|███████████████▉                                       | 279/966 [09:56<24:27,  0.47it/s, v_num=s5n3]train step 14770; scene = ['dl3dv_9aae8ae4d5ad1d']; loss = -1.539204
+Epoch 15:  30%|████████████████▍                                      | 289/966 [10:15<24:02,  0.47it/s, v_num=s5n3]train step 14780; scene = ['dl3dv_918f2a7f0e172c']; loss = -1.253098
+Epoch 15:  31%|█████████████████                                      | 299/966 [10:34<23:36,  0.47it/s, v_num=s5n3]train step 14790; scene = ['dl3dv_b5822a565a3749']; loss = -1.279900
+Epoch 15:  32%|█████████████████▌                                     | 309/966 [11:05<23:34,  0.46it/s, v_num=s5n3]train step 14800; scene = ['dl3dv_701c4ef6442d41']; loss = -1.107066
+Epoch 15:  33%|██████████████████▏                                    | 319/966 [11:36<23:31,  0.46it/s, v_num=s5n3]train step 14810; scene = ['dl3dv_e257f8599a1946']; loss = -1.059102
+Epoch 15:  34%|██████████████████▋                                    | 329/966 [11:55<23:05,  0.46it/s, v_num=s5n3]train step 14820; scene = ['dl3dv_17d684222ad9a9']; loss = -1.923917
+Epoch 15:  35%|███████████████████▎                                   | 339/966 [12:16<22:41,  0.46it/s, v_num=s5n3]train step 14830; scene = ['dl3dv_8fef15905260d2']; loss = -1.326065
+Epoch 15:  36%|███████████████████▊                                   | 349/966 [12:35<22:15,  0.46it/s, v_num=s5n3]train step 14840; scene = ['dl3dv_e209a091c1ec3b']; loss = -0.865703
+Epoch 15:  37%|████████████████████▍                                  | 359/966 [12:56<21:52,  0.46it/s, v_num=s5n3]train step 14850; scene = ['dl3dv_0f8edc01e239a5']; loss = -1.531113
+Epoch 15:  38%|█████████████████████                                  | 369/966 [13:17<21:30,  0.46it/s, v_num=s5n3]train step 14860; scene = ['dl3dv_b6971e10a8bdf5']; loss = -1.913728
+Epoch 15:  39%|█████████████████████▌                                 | 379/966 [13:37<21:06,  0.46it/s, v_num=s5n3]train step 14870; scene = ['dl3dv_cae9d1a1455422', 'dl3dv_5731b3fce4904b', 'dl3dv_1ea4b926f9e1a3', 'dl3dv_ad917151905cc0', 'dl3dv_ac41bb001ee989', 'dl3dv_8e5ec29f81e6ad', 'dl3dv_a238b8bdb710d1', 'dl3dv_565b10714efbf0']; loss = -2.037680
+Epoch 15:  40%|██████████████████████▏                                | 389/966 [13:58<20:43,  0.46it/s, v_num=s5n3]train step 14880; scene = ['dl3dv_030c3b5baca9db']; loss = -1.617803
+Epoch 15:  41%|██████████████████████▋                                | 399/966 [14:17<20:18,  0.47it/s, v_num=s5n3]train step 14890; scene = ['dl3dv_191ae553d7ee31']; loss = -2.066122
+Epoch 15:  42%|███████████████████████▎                               | 409/966 [14:37<19:55,  0.47it/s, v_num=s5n3]train step 14900; scene = ['dl3dv_f0012be5a74d6e']; loss = -1.370483
+Epoch 15:  43%|███████████████████████▊                               | 419/966 [14:58<19:33,  0.47it/s, v_num=s5n3]train step 14910; scene = ['dl3dv_6f3ee2a0f5da49']; loss = -1.246243
+Epoch 15:  44%|████████████████████████▍                              | 429/966 [15:18<19:09,  0.47it/s, v_num=s5n3]train step 14920; scene = ['dl3dv_2af5a9ed32bc76']; loss = -0.718868
+Epoch 15:  45%|████████████████████████▉                              | 439/966 [15:49<19:00,  0.46it/s, v_num=s5n3]train step 14930; scene = ['dl3dv_e588b2db4e3feb']; loss = -1.176736
+Epoch 15:  46%|█████████████████████████▌                             | 449/966 [16:09<18:36,  0.46it/s, v_num=s5n3]train step 14940; scene = ['dl3dv_a220f2e66f53a5']; loss = -1.339948
+Epoch 15:  48%|██████████████████████████▏                            | 459/966 [16:28<18:12,  0.46it/s, v_num=s5n3]train step 14950; scene = ['dl3dv_c5ff9e55256f15']; loss = -1.224782
+Epoch 15:  49%|██████████████████████████▋                            | 469/966 [16:49<17:50,  0.46it/s, v_num=s5n3]train step 14960; scene = ['dl3dv_ae7145ceac4cf1']; loss = -1.082294
+Epoch 15:  50%|███████████████████████████▎                           | 479/966 [17:10<17:27,  0.46it/s, v_num=s5n3]train step 14970; scene = ['dl3dv_6617cea92c0ed4']; loss = -0.557995
+Epoch 15:  51%|███████████████████████████▊                           | 489/966 [17:30<17:04,  0.47it/s, v_num=s5n3]train step 14980; scene = ['dl3dv_e24f91b2d21a4c']; loss = -1.089218
+Epoch 15:  52%|████████████████████████████▍                          | 499/966 [17:50<16:41,  0.47it/s, v_num=s5n3]train step 14990; scene = ['dl3dv_c12223e5a11164']; loss = -1.047230
+Epoch 15:  53%|████████████████████████████▉                          | 509/966 [18:11<16:19,  0.47it/s, v_num=s5n3]train step 15000; scene = ['dl3dv_950814dd01bed5', 'dl3dv_75339b67b51893']; loss = -1.813486
+Epoch 15:  53%|█████████████████████████████                          | 510/966 [18:17<16:20,  0.46it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 15000; scene = ['room'];
+Epoch 15:  54%|█████████████████████████████▌                         | 519/966 [18:47<16:11,  0.46it/s, v_num=s5n3]train step 15010; scene = ['dl3dv_0a7cae4db88e25']; loss = -1.127026
+Epoch 15:  55%|██████████████████████████████                         | 529/966 [19:08<15:48,  0.46it/s, v_num=s5n3]train step 15020; scene = ['dl3dv_0795f803444058']; loss = -1.276506
+Epoch 15:  56%|██████████████████████████████▋                        | 539/966 [19:27<15:25,  0.46it/s, v_num=s5n3]train step 15030; scene = ['dl3dv_b6e970fe3a597f']; loss = -2.083819
+Epoch 15:  57%|███████████████████████████████▎                       | 549/966 [19:47<15:02,  0.46it/s, v_num=s5n3]train step 15040; scene = ['dl3dv_be1332ef9f4d1a', 'dl3dv_a5b96550e05df5']; loss = -1.180144
+Epoch 15:  58%|███████████████████████████████▊                       | 559/966 [20:07<14:39,  0.46it/s, v_num=s5n3]train step 15050; scene = ['dl3dv_b3b30d451d01c5']; loss = -1.587718
+Epoch 15:  59%|████████████████████████████████▍                      | 569/966 [20:28<14:16,  0.46it/s, v_num=s5n3]train step 15060; scene = ['dl3dv_8b2678b44bce2e']; loss = -1.126846
+Epoch 15:  60%|████████████████████████████████▉                      | 579/966 [20:49<13:55,  0.46it/s, v_num=s5n3]train step 15070; scene = ['dl3dv_b5d47f00a749b4']; loss = -1.187002
+Epoch 15:  61%|█████████████████████████████████▌                     | 589/966 [21:18<13:38,  0.46it/s, v_num=s5n3]train step 15080; scene = ['dl3dv_f0ad76b21f838d']; loss = -1.579520
+Epoch 15:  62%|██████████████████████████████████                     | 599/966 [21:39<13:16,  0.46it/s, v_num=s5n3]train step 15090; scene = ['dl3dv_a55e9c6566c818']; loss = -2.565262
+Epoch 15:  63%|██████████████████████████████████▋                    | 609/966 [21:59<12:53,  0.46it/s, v_num=s5n3]train step 15100; scene = ['dl3dv_db8a905c14ce28']; loss = -1.527925
+Epoch 15:  64%|███████████████████████████████████▏                   | 619/966 [22:17<12:29,  0.46it/s, v_num=s5n3]train step 15110; scene = ['dl3dv_16bba6d01cd2d4', 'dl3dv_4f32f413641ed4']; loss = -1.764474
+Epoch 15:  65%|███████████████████████████████████▊                   | 629/966 [22:37<12:07,  0.46it/s, v_num=s5n3]train step 15120; scene = ['dl3dv_86ddce1fe24bce']; loss = -1.253991
+Epoch 15:  66%|████████████████████████████████████▍                  | 639/966 [22:58<11:45,  0.46it/s, v_num=s5n3]train step 15130; scene = ['dl3dv_3066a25870d03d']; loss = -1.093044
+Epoch 15:  67%|████████████████████████████████████▉                  | 649/966 [23:17<11:22,  0.46it/s, v_num=s5n3]train step 15140; scene = ['dl3dv_6e023d505e86cc']; loss = -1.782933
+Epoch 15:  68%|█████████████████████████████████████▌                 | 659/966 [23:36<10:59,  0.47it/s, v_num=s5n3]train step 15150; scene = ['dl3dv_c694725ed4c935', 'dl3dv_b9633624f111e1']; loss = -1.669167
+Epoch 15:  69%|██████████████████████████████████████                 | 669/966 [23:56<10:37,  0.47it/s, v_num=s5n3]train step 15160; scene = ['dl3dv_91b23daeb4cd9d']; loss = -1.119308
+Epoch 15:  70%|██████████████████████████████████████▋                | 679/966 [24:15<10:15,  0.47it/s, v_num=s5n3]train step 15170; scene = ['dl3dv_da0a16fee5af7e']; loss = -1.183567
+Epoch 15:  71%|███████████████████████████████████████▏               | 689/966 [24:36<09:53,  0.47it/s, v_num=s5n3]train step 15180; scene = ['dl3dv_3ff1fd390bb7c7']; loss = -0.840982
+Epoch 15:  72%|███████████████████████████████████████▊               | 699/966 [24:55<09:31,  0.47it/s, v_num=s5n3]train step 15190; scene = ['dl3dv_d95684e9ba71aa']; loss = -0.750116
+Epoch 15:  73%|████████████████████████████████████████▎              | 709/966 [25:25<09:12,  0.46it/s, v_num=s5n3]train step 15200; scene = ['dl3dv_b627098eecdf1e']; loss = -1.937654
+Epoch 15:  74%|████████████████████████████████████████▉              | 719/966 [25:58<08:55,  0.46it/s, v_num=s5n3]train step 15210; scene = ['dl3dv_69ee374748f17f']; loss = -1.929341
+Epoch 15:  75%|█████████████████████████████████████████▌             | 729/966 [26:18<08:33,  0.46it/s, v_num=s5n3]train step 15220; scene = ['dl3dv_35f91630518345']; loss = -0.995808
+Epoch 15:  77%|██████████████████████████████████████████             | 739/966 [26:37<08:10,  0.46it/s, v_num=s5n3]train step 15230; scene = ['dl3dv_26d80d4085d42f']; loss = -0.911031
+Epoch 15:  78%|██████████████████████████████████████████▋            | 749/966 [27:08<07:51,  0.46it/s, v_num=s5n3]train step 15240; scene = ['dl3dv_dc455f8a6b1819']; loss = -1.418191
+Epoch 15:  79%|███████████████████████████████████████████▏           | 759/966 [27:26<07:28,  0.46it/s, v_num=s5n3]train step 15250; scene = ['dl3dv_bd368b54e75b22']; loss = -1.497824
+Epoch 15:  80%|███████████████████████████████████████████▊           | 769/966 [27:46<07:06,  0.46it/s, v_num=s5n3]train step 15260; scene = ['dl3dv_db498e6b687f98']; loss = -2.085208
+Epoch 15:  81%|████████████████████████████████████████████▎          | 779/966 [28:06<06:44,  0.46it/s, v_num=s5n3]train step 15270; scene = ['dl3dv_e5dcfbf5830ec4']; loss = -1.608844
+Epoch 15:  82%|████████████████████████████████████████████▉          | 789/966 [28:27<06:22,  0.46it/s, v_num=s5n3]train step 15280; scene = ['dl3dv_51ac9dfaa2932a']; loss = -0.709715
+Epoch 15:  83%|█████████████████████████████████████████████▍         | 799/966 [28:48<06:01,  0.46it/s, v_num=s5n3]train step 15290; scene = ['dl3dv_48ed9f937b96e9']; loss = -1.964323
+Epoch 15:  84%|██████████████████████████████████████████████         | 809/966 [29:08<05:39,  0.46it/s, v_num=s5n3]train step 15300; scene = ['dl3dv_fd1412fdf84ca7', 'dl3dv_b0ef68b23b7f8e']; loss = -1.706113
+Epoch 15:  85%|██████████████████████████████████████████████▋        | 819/966 [29:29<05:17,  0.46it/s, v_num=s5n3]train step 15310; scene = ['dl3dv_68366ed49fe998']; loss = -1.513449
+Epoch 15:  86%|███████████████████████████████████████████████▏       | 829/966 [29:58<04:57,  0.46it/s, v_num=s5n3]train step 15320; scene = ['dl3dv_d9e2536342dd0a']; loss = -1.549012
+Epoch 15:  87%|███████████████████████████████████████████████▊       | 839/966 [30:19<04:35,  0.46it/s, v_num=s5n3]train step 15330; scene = ['dl3dv_7a7120f0a6c296']; loss = -1.143831
+Epoch 15:  88%|████████████████████████████████████████████████▎      | 849/966 [30:39<04:13,  0.46it/s, v_num=s5n3]train step 15340; scene = ['dl3dv_804644909d1eb7']; loss = -1.562480
+Epoch 15:  89%|████████████████████████████████████████████████▉      | 859/966 [30:58<03:51,  0.46it/s, v_num=s5n3]train step 15350; scene = ['dl3dv_6ee533d44566c6']; loss = -1.621572
+Epoch 15:  90%|█████████████████████████████████████████████████▍     | 869/966 [31:18<03:29,  0.46it/s, v_num=s5n3]train step 15360; scene = ['dl3dv_e0d4281d4a16b2']; loss = -1.136654
+Epoch 15:  91%|██████████████████████████████████████████████████     | 879/966 [31:37<03:07,  0.46it/s, v_num=s5n3]train step 15370; scene = ['dl3dv_35122ec333dc84']; loss = -1.399116
+Epoch 15:  92%|██████████████████████████████████████████████████▌    | 889/966 [31:56<02:46,  0.46it/s, v_num=s5n3]train step 15380; scene = ['dl3dv_4d34378c7aeef2']; loss = -1.059114
+Epoch 15:  93%|███████████████████████████████████████████████████▏   | 899/966 [32:15<02:24,  0.46it/s, v_num=s5n3]train step 15390; scene = ['dl3dv_197ed410618130']; loss = -1.307760
+Epoch 15:  94%|███████████████████████████████████████████████████▊   | 909/966 [32:35<02:02,  0.46it/s, v_num=s5n3]train step 15400; scene = ['dl3dv_f27b47e12f5cb2']; loss = -1.463403
+Epoch 15:  95%|████████████████████████████████████████████████████▎  | 919/966 [33:06<01:41,  0.46it/s, v_num=s5n3]train step 15410; scene = ['dl3dv_da2a18a94405b3']; loss = -1.869650
+Epoch 15:  96%|████████████████████████████████████████████████████▉  | 929/966 [33:25<01:19,  0.46it/s, v_num=s5n3]train step 15420; scene = ['dl3dv_a968dc042a3db2']; loss = -1.112905
+Epoch 15:  97%|█████████████████████████████████████████████████████▍ | 939/966 [33:44<00:58,  0.46it/s, v_num=s5n3]train step 15430; scene = ['dl3dv_0c6f5d61c7936a']; loss = -0.794340
+Epoch 15:  98%|██████████████████████████████████████████████████████ | 949/966 [34:04<00:36,  0.46it/s, v_num=s5n3]train step 15440; scene = ['dl3dv_d81534b0e3a5a2']; loss = -0.952902
+Epoch 15:  99%|██████████████████████████████████████████████████████▌| 959/966 [34:24<00:15,  0.46it/s, v_num=s5n3]train step 15450; scene = ['dl3dv_4a684fd885ca20']; loss = -1.083307
+Epoch 16:   0%|▏                                                      | 3/966 [00:15<1:23:06,  0.19it/s, v_num=s5n3]train step 15460; scene = ['dl3dv_6e3429a6f8b441']; loss = -1.448462
+Epoch 16:   1%|▊                                                       | 13/966 [00:35<43:51,  0.36it/s, v_num=s5n3]train step 15470; scene = ['dl3dv_0c0d375f17394d']; loss = -1.400759
+Epoch 16:   2%|█▎                                                      | 23/966 [01:06<45:26,  0.35it/s, v_num=s5n3]train step 15480; scene = ['dl3dv_e8f708d17e93d1']; loss = -1.612038
+Epoch 16:   3%|█▉                                                      | 33/966 [01:26<40:42,  0.38it/s, v_num=s5n3]train step 15490; scene = ['dl3dv_d61c5ef726ed1e']; loss = -1.637909
+Epoch 16:   4%|██▍                                                     | 43/966 [01:45<37:47,  0.41it/s, v_num=s5n3]train step 15500; scene = ['dl3dv_83d3d0725b0e98']; loss = -1.337095
+Epoch 16:   5%|██▌                                                     | 44/966 [01:47<37:24,  0.41it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 15500; scene = ['room'];
+Epoch 16:   5%|███                                                     | 53/966 [02:16<39:18,  0.39it/s, v_num=s5n3]train step 15510; scene = ['dl3dv_8703c6521db2e7', 'dl3dv_f962479f0c2e21']; loss = -1.888016
+Epoch 16:   7%|███▋                                                    | 63/966 [02:35<37:05,  0.41it/s, v_num=s5n3]train step 15520; scene = ['dl3dv_49a0a72f45701a']; loss = -1.207997
+Epoch 16:   8%|████▏                                                   | 73/966 [02:54<35:38,  0.42it/s, v_num=s5n3]train step 15530; scene = ['dl3dv_70afbdad4d7d9b']; loss = -1.983606
+Epoch 16:   9%|████▊                                                   | 83/966 [03:15<34:44,  0.42it/s, v_num=s5n3]train step 15540; scene = ['dl3dv_1bc4dc3b5ed480']; loss = -2.017551
+Epoch 16:  10%|█████▍                                                  | 93/966 [03:35<33:38,  0.43it/s, v_num=s5n3]train step 15550; scene = ['dl3dv_f6fd68a35ac970']; loss = -1.265834
+Epoch 16:  11%|█████▊                                                 | 103/966 [03:54<32:43,  0.44it/s, v_num=s5n3]train step 15560; scene = ['dl3dv_5f295601dd59cc']; loss = -1.582265
+Epoch 16:  12%|██████▍                                                | 113/966 [04:14<32:04,  0.44it/s, v_num=s5n3]train step 15570; scene = ['dl3dv_dbd7a081c014cd']; loss = -1.139966
+Epoch 16:  13%|███████                                                | 123/966 [04:36<31:33,  0.45it/s, v_num=s5n3]train step 15580; scene = ['dl3dv_e99bf1299b9ed5']; loss = -0.692024
+Epoch 16:  14%|███████▌                                               | 133/966 [04:55<30:50,  0.45it/s, v_num=s5n3]train step 15590; scene = ['dl3dv_10aacaa7c3200d']; loss = -1.211569
+Epoch 16:  15%|████████▏                                              | 143/966 [05:16<30:23,  0.45it/s, v_num=s5n3]train step 15600; scene = ['dl3dv_387f7563ca7158']; loss = -1.440201
+Epoch 16:  16%|████████▋                                              | 153/966 [05:44<30:28,  0.44it/s, v_num=s5n3]train step 15610; scene = ['dl3dv_07d469b7e483a7']; loss = -1.092438
+Epoch 16:  17%|█████████▎                                             | 163/966 [06:04<29:56,  0.45it/s, v_num=s5n3]train step 15620; scene = ['dl3dv_d22ec2a0b33c08']; loss = -0.535261
+Epoch 16:  18%|█████████▊                                             | 173/966 [06:24<29:24,  0.45it/s, v_num=s5n3]train step 15630; scene = ['dl3dv_0f365efd0a1a81']; loss = -1.362799
+Epoch 16:  19%|██████████▍                                            | 183/966 [06:45<28:53,  0.45it/s, v_num=s5n3]train step 15640; scene = ['dl3dv_a5b3aea49eb71d']; loss = -1.318255
+Epoch 16:  20%|██████████▉                                            | 193/966 [07:05<28:23,  0.45it/s, v_num=s5n3]train step 15650; scene = ['dl3dv_2a17112c4c4671']; loss = -1.716386
+Epoch 16:  21%|███████████▌                                           | 203/966 [07:25<27:53,  0.46it/s, v_num=s5n3]train step 15660; scene = ['dl3dv_b3797a1e94e35e']; loss = -1.523559
+Epoch 16:  22%|████████████▏                                          | 213/966 [07:44<27:23,  0.46it/s, v_num=s5n3]train step 15670; scene = ['dl3dv_89b45835dac850']; loss = -1.692256
+Epoch 16:  23%|████████████▋                                          | 223/966 [08:04<26:54,  0.46it/s, v_num=s5n3]train step 15680; scene = ['dl3dv_e1a07d9df49f03']; loss = -0.546633
+Epoch 16:  24%|█████████████▎                                         | 233/966 [08:25<26:29,  0.46it/s, v_num=s5n3]train step 15690; scene = ['dl3dv_463cad3b69fd3a']; loss = -1.843492
+Epoch 16:  25%|█████████████▊                                         | 243/966 [08:45<26:03,  0.46it/s, v_num=s5n3]train step 15700; scene = ['dl3dv_f94aa936d15914']; loss = -1.751154
+Epoch 16:  26%|██████████████▍                                        | 253/966 [09:16<26:09,  0.45it/s, v_num=s5n3]train step 15710; scene = ['dl3dv_a00442a9ff1856']; loss = -2.030433
+Epoch 16:  27%|██████████████▉                                        | 263/966 [09:36<25:41,  0.46it/s, v_num=s5n3]train step 15720; scene = ['dl3dv_6d450efc1fc03e']; loss = -1.450825
+Epoch 16:  28%|███████████████▌                                       | 273/966 [09:56<25:14,  0.46it/s, v_num=s5n3]train step 15730; scene = ['dl3dv_3fa142f449c51c']; loss = -1.134221
+Epoch 16:  29%|████████████████                                       | 283/966 [10:16<24:48,  0.46it/s, v_num=s5n3]train step 15740; scene = ['dl3dv_522e2383dc7146', 'dl3dv_d94c6c7a86dee7', 'dl3dv_714bc8f370ddb6']; loss = -1.611659
+Epoch 16:  30%|████████████████▋                                      | 293/966 [10:35<24:20,  0.46it/s, v_num=s5n3]train step 15750; scene = ['dl3dv_6e66bb8eb8efaf']; loss = -1.126794
+Epoch 16:  31%|█████████████████▎                                     | 303/966 [10:54<23:53,  0.46it/s, v_num=s5n3]train step 15760; scene = ['dl3dv_5c21c41499ee41']; loss = -1.670330
+Epoch 16:  32%|█████████████████▊                                     | 313/966 [11:14<23:27,  0.46it/s, v_num=s5n3]train step 15770; scene = ['dl3dv_656415d1bdc49d']; loss = -1.537608
+Epoch 16:  33%|██████████████████▍                                    | 323/966 [11:35<23:03,  0.46it/s, v_num=s5n3]train step 15780; scene = ['dl3dv_4eb784bf47538c']; loss = -0.734681
+Epoch 16:  34%|██████████████████▉                                    | 333/966 [11:55<22:40,  0.47it/s, v_num=s5n3]train step 15790; scene = ['dl3dv_20c4b78a4144b5']; loss = -1.075840
+Epoch 16:  36%|███████████████████▌                                   | 343/966 [12:16<22:18,  0.47it/s, v_num=s5n3]train step 15800; scene = ['dl3dv_3387f6a34d4d48', 'dl3dv_68a06df95a6960']; loss = -1.566172
+Epoch 16:  37%|████████████████████                                   | 353/966 [12:39<21:59,  0.46it/s, v_num=s5n3]train step 15810; scene = ['dl3dv_560f990168218e']; loss = -1.302437
+Epoch 16:  38%|████████████████████▋                                  | 363/966 [12:57<21:31,  0.47it/s, v_num=s5n3]train step 15820; scene = ['dl3dv_0f15503f58734e']; loss = -1.395760
+Epoch 16:  39%|█████████████████████▏                                 | 373/966 [13:19<21:10,  0.47it/s, v_num=s5n3]train step 15830; scene = ['dl3dv_50cb47da264f13']; loss = -1.582420
+Epoch 16:  40%|█████████████████████▊                                 | 383/966 [13:51<21:05,  0.46it/s, v_num=s5n3]train step 15840; scene = ['dl3dv_ae8131412b009b']; loss = -1.769346
+Epoch 16:  41%|██████████████████████▍                                | 393/966 [14:10<20:40,  0.46it/s, v_num=s5n3]train step 15850; scene = ['dl3dv_e209a091c1ec3b']; loss = -1.050419
+Epoch 16:  42%|██████████████████████▉                                | 403/966 [14:30<20:15,  0.46it/s, v_num=s5n3]train step 15860; scene = ['dl3dv_0f8edc01e239a5']; loss = -1.706601
+Epoch 16:  43%|███████████████████████▌                               | 413/966 [14:51<19:53,  0.46it/s, v_num=s5n3]train step 15870; scene = ['dl3dv_b6971e10a8bdf5']; loss = -2.076067
+Epoch 16:  44%|████████████████████████                               | 423/966 [15:09<19:28,  0.46it/s, v_num=s5n3]train step 15880; scene = ['dl3dv_2204f9403702f5']; loss = -1.923277
+Epoch 16:  45%|████████████████████████▋                              | 433/966 [15:29<19:04,  0.47it/s, v_num=s5n3]train step 15890; scene = ['dl3dv_bb4eb7f0bf2e47']; loss = -1.020511
+Epoch 16:  46%|█████████████████████████▏                             | 443/966 [15:49<18:40,  0.47it/s, v_num=s5n3]train step 15900; scene = ['dl3dv_86eebcf2ec4809', 'dl3dv_2b6e1d96247001']; loss = -1.189841
+Epoch 16:  47%|█████████████████████████▊                             | 453/966 [16:08<18:16,  0.47it/s, v_num=s5n3]train step 15910; scene = ['dl3dv_dc916298d7b685']; loss = -2.337417
+Epoch 16:  48%|██████████████████████████▎                            | 463/966 [16:28<17:54,  0.47it/s, v_num=s5n3]train step 15920; scene = ['dl3dv_f87152e94e4135']; loss = -1.966665
+Epoch 16:  49%|██████████████████████████▉                            | 473/966 [16:47<17:30,  0.47it/s, v_num=s5n3]train step 15930; scene = ['dl3dv_34171819eb7dab']; loss = -0.581635
+Epoch 16:  50%|███████████████████████████▌                           | 483/966 [17:08<17:08,  0.47it/s, v_num=s5n3]train step 15940; scene = ['dl3dv_b57a7b8f4c78c8', 'dl3dv_f68f430a0aea54', 'dl3dv_30651d7c148bb1', 'dl3dv_2af5a9ed32bc76']; loss = -1.782286
+Epoch 16:  51%|████████████████████████████                           | 493/966 [17:28<16:46,  0.47it/s, v_num=s5n3]train step 15950; scene = ['dl3dv_2a1491a2ece879']; loss = -1.198653
+Epoch 16:  52%|████████████████████████████▋                          | 503/966 [17:49<16:24,  0.47it/s, v_num=s5n3]train step 15960; scene = ['dl3dv_1d9a856541308a']; loss = -1.649903
+Epoch 16:  53%|█████████████████████████████▏                         | 513/966 [18:09<16:02,  0.47it/s, v_num=s5n3]train step 15970; scene = ['dl3dv_2a74824544a5fe', 'dl3dv_63e169debcec7a', 'dl3dv_2484e421b79ea3']; loss = -2.056767
+Epoch 16:  54%|█████████████████████████████▊                         | 523/966 [18:28<15:38,  0.47it/s, v_num=s5n3]train step 15980; scene = ['dl3dv_bf6158a77e4274']; loss = -2.009365
+Epoch 16:  55%|██████████████████████████████▎                        | 533/966 [18:47<15:16,  0.47it/s, v_num=s5n3]train step 15990; scene = ['dl3dv_9ca887305c092b', 'dl3dv_e24f91b2d21a4c']; loss = -1.664171
+Epoch 16:  56%|██████████████████████████████▉                        | 543/966 [19:18<15:02,  0.47it/s, v_num=s5n3]train step 16000; scene = ['dl3dv_6a64f052f8bd2b']; loss = -2.359443
+Epoch 16:  56%|██████████████████████████████▉                        | 544/966 [19:33<15:10,  0.46it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 16000; scene = ['room'];
+Epoch 16:  57%|███████████████████████████████▍                       | 553/966 [20:04<14:59,  0.46it/s, v_num=s5n3]train step 16010; scene = ['dl3dv_b0db31f03f83e4']; loss = -1.020776
+Epoch 16:  58%|████████████████████████████████                       | 563/966 [20:25<14:37,  0.46it/s, v_num=s5n3]train step 16020; scene = ['dl3dv_e2c81959a4e78a', 'dl3dv_169bb02044a0fd']; loss = -1.338938
+Epoch 16:  59%|████████████████████████████████▌                      | 573/966 [20:44<14:13,  0.46it/s, v_num=s5n3]train step 16030; scene = ['dl3dv_b6e970fe3a597f']; loss = -2.383445
+Epoch 16:  60%|█████████████████████████████████▏                     | 583/966 [21:04<13:50,  0.46it/s, v_num=s5n3]train step 16040; scene = ['dl3dv_f7a6b8b1052c57']; loss = -1.186431
+Epoch 16:  61%|█████████████████████████████████▊                     | 593/966 [21:23<13:27,  0.46it/s, v_num=s5n3]train step 16050; scene = ['dl3dv_d246405a453779']; loss = -1.145453
+Epoch 16:  62%|██████████████████████████████████▎                    | 603/966 [21:44<13:05,  0.46it/s, v_num=s5n3]train step 16060; scene = ['dl3dv_a1e2208e07d051']; loss = -1.088165
+Epoch 16:  63%|██████████████████████████████████▉                    | 613/966 [22:04<12:42,  0.46it/s, v_num=s5n3]train step 16070; scene = ['dl3dv_e7297caddaf87f']; loss = -1.915802
+Epoch 16:  64%|███████████████████████████████████▍                   | 623/966 [22:23<12:19,  0.46it/s, v_num=s5n3]train step 16080; scene = ['dl3dv_d416e2113deedc']; loss = -1.216003
+Epoch 16:  66%|████████████████████████████████████                   | 633/966 [22:42<11:56,  0.46it/s, v_num=s5n3]train step 16090; scene = ['dl3dv_5a6f09d1b28237']; loss = -1.399469
+Epoch 16:  67%|████████████████████████████████████▌                  | 643/966 [23:00<11:33,  0.47it/s, v_num=s5n3]train step 16100; scene = ['dl3dv_ea11001582238e']; loss = -0.786223
+Epoch 16:  68%|█████████████████████████████████████▏                 | 653/966 [23:31<11:16,  0.46it/s, v_num=s5n3]train step 16110; scene = ['dl3dv_438f9d20aada72']; loss = -1.929671
+Epoch 16:  69%|█████████████████████████████████████▋                 | 663/966 [23:51<10:54,  0.46it/s, v_num=s5n3]train step 16120; scene = ['dl3dv_99ce534e28039b']; loss = -1.104697
+Epoch 16:  70%|██████████████████████████████████████▎                | 673/966 [24:11<10:32,  0.46it/s, v_num=s5n3]train step 16130; scene = ['dl3dv_23379de431f067']; loss = -1.136409
+Epoch 16:  71%|██████████████████████████████████████▉                | 683/966 [24:32<10:10,  0.46it/s, v_num=s5n3]train step 16140; scene = ['dl3dv_6fcf98f309844c']; loss = -2.277321
+Epoch 16:  72%|███████████████████████████████████████▍               | 693/966 [24:52<09:48,  0.46it/s, v_num=s5n3]train step 16150; scene = ['dl3dv_d555c421873123']; loss = -0.820032
+Epoch 16:  73%|████████████████████████████████████████               | 703/966 [25:21<09:29,  0.46it/s, v_num=s5n3]train step 16160; scene = ['dl3dv_32bbcdc19fa768']; loss = -1.331393
+Epoch 16:  74%|████████████████████████████████████████▌              | 713/966 [25:40<09:06,  0.46it/s, v_num=s5n3]train step 16170; scene = ['dl3dv_ddb2f9a0d741b4']; loss = -1.811653
+Epoch 16:  75%|█████████████████████████████████████████▏             | 723/966 [25:59<08:44,  0.46it/s, v_num=s5n3]train step 16180; scene = ['dl3dv_8dcd0ada599b8f']; loss = -1.619382
+Epoch 16:  76%|█████████████████████████████████████████▋             | 733/966 [26:20<08:22,  0.46it/s, v_num=s5n3]train step 16190; scene = ['dl3dv_643e02263355c6']; loss = -1.533297
+Epoch 16:  77%|██████████████████████████████████████████▎            | 743/966 [26:39<07:59,  0.46it/s, v_num=s5n3]train step 16200; scene = ['dl3dv_127e75dff06bb2']; loss = -1.037971
+Epoch 16:  78%|██████████████████████████████████████████▊            | 753/966 [27:07<07:40,  0.46it/s, v_num=s5n3]train step 16210; scene = ['dl3dv_5aabf0172b3779']; loss = -1.291091
+Epoch 16:  79%|███████████████████████████████████████████▍           | 763/966 [27:28<07:18,  0.46it/s, v_num=s5n3]train step 16220; scene = ['dl3dv_38de39325ff142']; loss = -1.421802
+Epoch 16:  80%|████████████████████████████████████████████           | 773/966 [27:48<06:56,  0.46it/s, v_num=s5n3]train step 16230; scene = ['dl3dv_2439c5a887749e']; loss = -1.735195
+Epoch 16:  81%|████████████████████████████████████████████▌          | 783/966 [28:17<06:36,  0.46it/s, v_num=s5n3]train step 16240; scene = ['dl3dv_cb67a317724f4f', 'dl3dv_777f6476f5d9ad']; loss = -1.326389
+Epoch 16:  82%|█████████████████████████████████████████████▏         | 793/966 [28:36<06:14,  0.46it/s, v_num=s5n3]train step 16250; scene = ['dl3dv_e0c57a88ada5f0']; loss = -1.680617
+Epoch 16:  83%|█████████████████████████████████████████████▋         | 803/966 [28:57<05:52,  0.46it/s, v_num=s5n3]train step 16260; scene = ['dl3dv_42fc278e9457f1']; loss = -1.531257
+Epoch 16:  84%|██████████████████████████████████████████████▎        | 813/966 [29:17<05:30,  0.46it/s, v_num=s5n3]train step 16270; scene = ['dl3dv_f1db93153f214d']; loss = -1.053030
+Epoch 16:  85%|██████████████████████████████████████████████▊        | 823/966 [29:38<05:08,  0.46it/s, v_num=s5n3]train step 16280; scene = ['dl3dv_6dd7c4a0e624ad']; loss = -1.316582
+Epoch 16:  86%|███████████████████████████████████████████████▍       | 833/966 [29:57<04:46,  0.46it/s, v_num=s5n3]train step 16290; scene = ['dl3dv_dfc5dcb12480a1']; loss = -2.199832
+Epoch 16:  87%|███████████████████████████████████████████████▉       | 843/966 [30:16<04:25,  0.46it/s, v_num=s5n3]train step 16300; scene = ['dl3dv_904d19b28abacb']; loss = -1.848980
+Epoch 16:  88%|████████████████████████████████████████████████▌      | 853/966 [30:36<04:03,  0.46it/s, v_num=s5n3]train step 16310; scene = ['dl3dv_68366ed49fe998']; loss = -1.754316
+Epoch 16:  89%|█████████████████████████████████████████████████▏     | 863/966 [30:55<03:41,  0.47it/s, v_num=s5n3]train step 16320; scene = ['dl3dv_d9e2536342dd0a']; loss = -1.226615
+Epoch 16:  90%|█████████████████████████████████████████████████▋     | 873/966 [31:13<03:19,  0.47it/s, v_num=s5n3]train step 16330; scene = ['dl3dv_8f64ce01dc9d19']; loss = -0.815361
+Epoch 16:  91%|██████████████████████████████████████████████████▎    | 883/966 [31:33<02:58,  0.47it/s, v_num=s5n3]train step 16340; scene = ['dl3dv_ed282d12af546b']; loss = -1.277368
+Epoch 16:  92%|██████████████████████████████████████████████████▊    | 893/966 [31:53<02:36,  0.47it/s, v_num=s5n3]train step 16350; scene = ['dl3dv_c3870941c02697']; loss = -1.103912
+Epoch 16:  93%|███████████████████████████████████████████████████▍   | 903/966 [32:13<02:14,  0.47it/s, v_num=s5n3]train step 16360; scene = ['dl3dv_6ee533d44566c6']; loss = -1.470633
+Epoch 16:  95%|███████████████████████████████████████████████████▉   | 913/966 [32:33<01:53,  0.47it/s, v_num=s5n3]train step 16370; scene = ['dl3dv_415923d5e7c79e']; loss = -1.810145
+Epoch 16:  96%|████████████████████████████████████████████████████▌  | 923/966 [33:02<01:32,  0.47it/s, v_num=s5n3]train step 16380; scene = ['dl3dv_35122ec333dc84']; loss = -1.444125
+Epoch 16:  97%|█████████████████████████████████████████████████████  | 933/966 [33:22<01:10,  0.47it/s, v_num=s5n3]train step 16390; scene = ['dl3dv_634df6fb42b111']; loss = -1.566820
+Epoch 16:  98%|█████████████████████████████████████████████████████▋ | 943/966 [33:42<00:49,  0.47it/s, v_num=s5n3]train step 16400; scene = ['dl3dv_197ed410618130']; loss = -1.264040
+Epoch 16:  99%|██████████████████████████████████████████████████████▎| 953/966 [34:12<00:28,  0.46it/s, v_num=s5n3]train step 16410; scene = ['dl3dv_f385e57335d969', 'dl3dv_7f8772f6ed006a']; loss = -1.860180
+Epoch 16: 100%|██████████████████████████████████████████████████████▊| 963/966 [34:33<00:06,  0.46it/s, v_num=s5n3]train step 16420; scene = ['dl3dv_b5da01cc1542d2']; loss = -1.794682
+Epoch 17:   1%|▍                                                        | 7/966 [00:14<32:34,  0.49it/s, v_num=s5n3]train step 16430; scene = ['dl3dv_0e24a8c5a728a4']; loss = -1.514204
+Epoch 17:   2%|▉                                                       | 17/966 [00:34<31:44,  0.50it/s, v_num=s5n3]train step 16440; scene = ['dl3dv_b91d6319384be8', 'dl3dv_bb6522c9fad7ad']; loss = -2.002606
+Epoch 17:   3%|█▌                                                      | 27/966 [00:54<31:19,  0.50it/s, v_num=s5n3]train step 16450; scene = ['dl3dv_75a09eb338c49b', 'dl3dv_29ea87dec5691b', 'dl3dv_88052babcfad4d']; loss = -1.536430
+Epoch 17:   4%|██▏                                                     | 37/966 [01:14<31:13,  0.50it/s, v_num=s5n3]train step 16460; scene = ['dl3dv_29375279ac618a', 'dl3dv_82338071ffc0a0']; loss = -1.629909
+Epoch 17:   5%|██▋                                                     | 47/966 [01:34<30:45,  0.50it/s, v_num=s5n3]train step 16470; scene = ['dl3dv_1dd404b30d6914']; loss = -1.979397
+Epoch 17:   6%|███▎                                                    | 57/966 [01:54<30:32,  0.50it/s, v_num=s5n3]train step 16480; scene = ['dl3dv_e8f708d17e93d1']; loss = -1.865904
+Epoch 17:   7%|███▉                                                    | 67/966 [02:14<30:02,  0.50it/s, v_num=s5n3]train step 16490; scene = ['dl3dv_10a8e60d64db9b']; loss = -1.343455
+Epoch 17:   8%|████▍                                                   | 77/966 [02:32<29:23,  0.50it/s, v_num=s5n3]train step 16500; scene = ['dl3dv_228794767f84d9']; loss = -1.224853
+Epoch 17:   8%|████▌                                                   | 78/966 [02:34<29:19,  0.50it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 16500; scene = ['room'];
+Epoch 17:   9%|█████                                                   | 87/966 [03:05<31:10,  0.47it/s, v_num=s5n3]train step 16510; scene = ['dl3dv_8703c6521db2e7']; loss = -1.032967
+Epoch 17:  10%|█████▌                                                  | 97/966 [03:26<30:49,  0.47it/s, v_num=s5n3]train step 16520; scene = ['dl3dv_dd634bbd04d47c']; loss = -1.637898
+Epoch 17:  11%|██████                                                 | 107/966 [03:46<30:15,  0.47it/s, v_num=s5n3]train step 16530; scene = ['dl3dv_3dfc61619cd9ed']; loss = -1.549597
+Epoch 17:  12%|██████▋                                                | 117/966 [04:05<29:41,  0.48it/s, v_num=s5n3]train step 16540; scene = ['dl3dv_5e63065a4cd08c', 'dl3dv_7c5de26d347302']; loss = -1.934278
+Epoch 17:  13%|███████▏                                               | 127/966 [04:25<29:13,  0.48it/s, v_num=s5n3]train step 16550; scene = ['dl3dv_afa70a8c257b36']; loss = -1.583277
+Epoch 17:  14%|███████▊                                               | 137/966 [04:45<28:46,  0.48it/s, v_num=s5n3]train step 16560; scene = ['dl3dv_8bc938e9328ed4']; loss = -1.382971
+Epoch 17:  15%|████████▎                                              | 147/966 [05:04<28:18,  0.48it/s, v_num=s5n3]train step 16570; scene = ['dl3dv_007fa368d01135']; loss = -1.029107
+Epoch 17:  16%|████████▉                                              | 157/966 [05:24<27:51,  0.48it/s, v_num=s5n3]train step 16580; scene = ['dl3dv_92a27fa12d4b3e', 'dl3dv_729a4c2a33797c']; loss = -2.148283
+Epoch 17:  17%|█████████▌                                             | 167/966 [05:44<27:27,  0.48it/s, v_num=s5n3]train step 16590; scene = ['dl3dv_ec380ac3cb3649']; loss = -1.809800
+Epoch 17:  18%|██████████                                             | 177/966 [06:04<27:03,  0.49it/s, v_num=s5n3]train step 16600; scene = ['dl3dv_d22e79ff99023c']; loss = -1.427179
+Epoch 17:  19%|██████████▋                                            | 187/966 [06:32<27:13,  0.48it/s, v_num=s5n3]train step 16610; scene = ['dl3dv_17f9994bc36178']; loss = -1.499578
+Epoch 17:  20%|███████████▏                                           | 197/966 [07:02<27:31,  0.47it/s, v_num=s5n3]train step 16620; scene = ['dl3dv_5e0630b1b8abb5']; loss = -1.686006
+Epoch 17:  21%|███████████▊                                           | 207/966 [07:23<27:06,  0.47it/s, v_num=s5n3]train step 16630; scene = ['dl3dv_d034438a2ebaaa']; loss = -1.421061
+Epoch 17:  22%|████████████▎                                          | 217/966 [07:43<26:39,  0.47it/s, v_num=s5n3]train step 16640; scene = ['dl3dv_952bbb8f5ef569']; loss = -1.409154
+Epoch 17:  23%|████████████▉                                          | 227/966 [08:03<26:15,  0.47it/s, v_num=s5n3]train step 16650; scene = ['dl3dv_7bfb89aee6b207']; loss = -1.638921
+Epoch 17:  25%|█████████████▍                                         | 237/966 [08:23<25:47,  0.47it/s, v_num=s5n3]train step 16660; scene = ['dl3dv_dee9a9c1529b04']; loss = -1.409200
+Epoch 17:  26%|██████████████                                         | 247/966 [08:43<25:22,  0.47it/s, v_num=s5n3]train step 16670; scene = ['dl3dv_a0deabf7a844a7']; loss = -1.099953
+Epoch 17:  27%|██████████████▋                                        | 257/966 [09:02<24:57,  0.47it/s, v_num=s5n3]train step 16680; scene = ['dl3dv_8062ae91f914e8', 'dl3dv_6669d5a95c2be3']; loss = -1.318628
+Epoch 17:  28%|███████████████▏                                       | 267/966 [09:23<24:34,  0.47it/s, v_num=s5n3]train step 16690; scene = ['dl3dv_d3577c15cfa086', 'dl3dv_55daeb45a1e9e9', 'dl3dv_f6767ab4dc490d']; loss = -1.506186
+Epoch 17:  29%|███████████████▊                                       | 277/966 [09:44<24:13,  0.47it/s, v_num=s5n3]train step 16700; scene = ['dl3dv_e1331217c50e55']; loss = -1.266581
+Epoch 17:  30%|████████████████▎                                      | 287/966 [10:04<23:49,  0.48it/s, v_num=s5n3]train step 16710; scene = ['dl3dv_56fbffb029487e']; loss = -0.472820
+Epoch 17:  31%|████████████████▉                                      | 297/966 [10:23<23:23,  0.48it/s, v_num=s5n3]train step 16720; scene = ['dl3dv_bd7f4ea768843e', 'dl3dv_99a271d7cf5fde']; loss = -1.024845
+Epoch 17:  32%|█████████████████▍                                     | 307/966 [10:43<23:02,  0.48it/s, v_num=s5n3]train step 16730; scene = ['dl3dv_522e2383dc7146']; loss = -1.036401
+Epoch 17:  33%|██████████████████                                     | 317/966 [11:04<22:41,  0.48it/s, v_num=s5n3]train step 16740; scene = ['dl3dv_08fe6f2eb69142', 'dl3dv_be15844e35d367']; loss = -1.913887
+Epoch 17:  34%|██████████████████▌                                    | 327/966 [11:24<22:18,  0.48it/s, v_num=s5n3]train step 16750; scene = ['dl3dv_77842a82aa74ac']; loss = -1.242595
+Epoch 17:  35%|███████████████████▏                                   | 337/966 [11:44<21:54,  0.48it/s, v_num=s5n3]train step 16760; scene = ['dl3dv_95fc63eb645ab4']; loss = -2.008645
+Epoch 17:  36%|███████████████████▊                                   | 347/966 [12:14<21:50,  0.47it/s, v_num=s5n3]train step 16770; scene = ['dl3dv_3d33659cacb385']; loss = -0.334418
+Epoch 17:  37%|████████████████████▎                                  | 357/966 [12:35<21:28,  0.47it/s, v_num=s5n3]train step 16780; scene = ['dl3dv_7ad3732543b2b8', 'dl3dv_19127ae8eb0b09']; loss = -2.250467
+Epoch 17:  38%|████████████████████▉                                  | 367/966 [12:55<21:06,  0.47it/s, v_num=s5n3]train step 16790; scene = ['dl3dv_701c4ef6442d41']; loss = -0.996247
+Epoch 17:  39%|█████████████████████▍                                 | 377/966 [13:15<20:42,  0.47it/s, v_num=s5n3]train step 16800; scene = ['dl3dv_4df362276310af']; loss = -1.325353
+Epoch 17:  40%|██████████████████████                                 | 387/966 [13:41<20:28,  0.47it/s, v_num=s5n3]train step 16810; scene = ['dl3dv_9282863f53bb8b']; loss = -0.866965
+Epoch 17:  41%|██████████████████████▌                                | 397/966 [13:59<20:03,  0.47it/s, v_num=s5n3]train step 16820; scene = ['dl3dv_254627ab35a81c']; loss = -0.842516
+Epoch 17:  42%|███████████████████████▏                               | 407/966 [14:19<19:40,  0.47it/s, v_num=s5n3]train step 16830; scene = ['dl3dv_2c3babc26da4ae']; loss = -1.423169
+Epoch 17:  43%|███████████████████████▋                               | 417/966 [14:40<19:19,  0.47it/s, v_num=s5n3]train step 16840; scene = ['dl3dv_42cfc1442ff4df']; loss = -1.433535
+Epoch 17:  44%|████████████████████████▎                              | 427/966 [15:00<18:56,  0.47it/s, v_num=s5n3]train step 16850; scene = ['dl3dv_cf1bb2b0419219']; loss = -1.095773
+Epoch 17:  45%|████████████████████████▉                              | 437/966 [15:20<18:34,  0.47it/s, v_num=s5n3]train step 16860; scene = ['dl3dv_8157be1f2a0386', 'dl3dv_2204f9403702f5', 'dl3dv_6ecbac7243f75c']; loss = -1.982630
+Epoch 17:  46%|█████████████████████████▍                             | 447/966 [15:40<18:12,  0.48it/s, v_num=s5n3]train step 16870; scene = ['dl3dv_bb4eb7f0bf2e47']; loss = -1.181476
+Epoch 17:  47%|██████████████████████████                             | 457/966 [16:01<17:50,  0.48it/s, v_num=s5n3]train step 16880; scene = ['dl3dv_675b1f5cfdc5c8']; loss = -0.962873
+Epoch 17:  48%|██████████████████████████▌                            | 467/966 [16:20<17:27,  0.48it/s, v_num=s5n3]train step 16890; scene = ['dl3dv_bb52af69632c9a']; loss = -1.967307
+Epoch 17:  49%|███████████████████████████▏                           | 477/966 [16:42<17:07,  0.48it/s, v_num=s5n3]train step 16900; scene = ['dl3dv_8a7740cdefe85c']; loss = -1.110488
+Epoch 17:  50%|███████████████████████████▋                           | 487/966 [17:11<16:54,  0.47it/s, v_num=s5n3]train step 16910; scene = ['dl3dv_02ceef8fda3830']; loss = -0.968277
+Epoch 17:  51%|████████████████████████████▎                          | 497/966 [17:30<16:31,  0.47it/s, v_num=s5n3]train step 16920; scene = ['dl3dv_e6117af5999206']; loss = -1.126645
+Epoch 17:  52%|████████████████████████████▊                          | 507/966 [17:49<16:08,  0.47it/s, v_num=s5n3]train step 16930; scene = ['dl3dv_8dc471c6dfe04d']; loss = -0.806485
+Epoch 17:  54%|█████████████████████████████▍                         | 517/966 [18:09<15:46,  0.47it/s, v_num=s5n3]train step 16940; scene = ['dl3dv_9163ce0da3bf2b']; loss = -0.708912
+Epoch 17:  55%|██████████████████████████████                         | 527/966 [18:27<15:22,  0.48it/s, v_num=s5n3]train step 16950; scene = ['dl3dv_3fafefbe5ea47c']; loss = -1.788847
+Epoch 17:  56%|██████████████████████████████▌                        | 537/966 [18:47<15:00,  0.48it/s, v_num=s5n3]train step 16960; scene = ['dl3dv_e45924a7fd587e']; loss = -1.417836
+Epoch 17:  57%|███████████████████████████████▏                       | 547/966 [19:08<14:39,  0.48it/s, v_num=s5n3]train step 16970; scene = ['dl3dv_4256a03d37ce71']; loss = -1.491183
+Epoch 17:  58%|███████████████████████████████▋                       | 557/966 [19:28<14:18,  0.48it/s, v_num=s5n3]train step 16980; scene = ['dl3dv_c03e55e51321e5']; loss = -1.521945
+Epoch 17:  59%|████████████████████████████████▎                      | 567/966 [19:46<13:55,  0.48it/s, v_num=s5n3]train step 16990; scene = ['dl3dv_a0644b62c54052']; loss = -1.756746
+Epoch 17:  60%|████████████████████████████████▊                      | 577/966 [20:06<13:33,  0.48it/s, v_num=s5n3]train step 17000; scene = ['dl3dv_dbeb7ff718da0c']; loss = -1.367219
+Epoch 17:  60%|████████████████████████████████▉                      | 578/966 [20:13<13:34,  0.48it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 17000; scene = ['room'];
+Epoch 17:  61%|█████████████████████████████████▍                     | 587/966 [20:44<13:23,  0.47it/s, v_num=s5n3]train step 17010; scene = ['dl3dv_83d6ec4ff945f8']; loss = -0.655444
+Epoch 17:  62%|█████████████████████████████████▉                     | 597/966 [21:04<13:01,  0.47it/s, v_num=s5n3]train step 17020; scene = ['dl3dv_3d4b5440e2b9fb']; loss = -1.509024
+Epoch 17:  63%|██████████████████████████████████▌                    | 607/966 [21:24<12:39,  0.47it/s, v_num=s5n3]train step 17030; scene = ['dl3dv_12d1731cde4b69']; loss = -1.049024
+Epoch 17:  64%|███████████████████████████████████▏                   | 617/966 [21:54<12:23,  0.47it/s, v_num=s5n3]train step 17040; scene = ['dl3dv_f8b9cce57a3a74']; loss = -1.445184
+Epoch 17:  65%|███████████████████████████████████▋                   | 627/966 [22:14<12:01,  0.47it/s, v_num=s5n3]train step 17050; scene = ['dl3dv_427d58201f5291']; loss = -2.075351
+Epoch 17:  66%|████████████████████████████████████▎                  | 637/966 [22:34<11:39,  0.47it/s, v_num=s5n3]train step 17060; scene = ['dl3dv_57e1fdccacb10a']; loss = -1.507704
+Epoch 17:  67%|████████████████████████████████████▊                  | 647/966 [22:54<11:17,  0.47it/s, v_num=s5n3]train step 17070; scene = ['dl3dv_66387e8dbaefd4']; loss = -1.372641
+Epoch 17:  68%|█████████████████████████████████████▍                 | 657/966 [23:22<10:59,  0.47it/s, v_num=s5n3]train step 17080; scene = ['dl3dv_a54a280853ad7f']; loss = -1.639190
+Epoch 17:  69%|█████████████████████████████████████▉                 | 667/966 [23:41<10:37,  0.47it/s, v_num=s5n3]train step 17090; scene = ['dl3dv_9566101bcd8ac0']; loss = -1.243756
+Epoch 17:  70%|██████████████████████████████████████▌                | 677/966 [24:02<10:15,  0.47it/s, v_num=s5n3]train step 17100; scene = ['dl3dv_16bba6d01cd2d4']; loss = -0.973845
+Epoch 17:  71%|███████████████████████████████████████                | 687/966 [24:22<09:53,  0.47it/s, v_num=s5n3]train step 17110; scene = ['dl3dv_259f9c29700c0a']; loss = -1.568256
+Epoch 17:  72%|███████████████████████████████████████▋               | 697/966 [24:42<09:32,  0.47it/s, v_num=s5n3]train step 17120; scene = ['dl3dv_fce43e01d8592f']; loss = -0.984811
+Epoch 17:  73%|████████████████████████████████████████▎              | 707/966 [25:02<09:10,  0.47it/s, v_num=s5n3]train step 17130; scene = ['dl3dv_f0a06a98486ad0']; loss = -0.804614
+Epoch 17:  74%|████████████████████████████████████████▊              | 717/966 [25:21<08:48,  0.47it/s, v_num=s5n3]train step 17140; scene = ['dl3dv_7a82fd5cdf8975']; loss = -0.711695
+Epoch 17:  75%|█████████████████████████████████████████▍             | 727/966 [25:40<08:26,  0.47it/s, v_num=s5n3]train step 17150; scene = ['dl3dv_5d4d8f16d74614']; loss = -0.865868
+Epoch 17:  76%|█████████████████████████████████████████▉             | 737/966 [26:11<08:08,  0.47it/s, v_num=s5n3]train step 17160; scene = ['dl3dv_e791783612a413', 'dl3dv_aba60a42eccde9']; loss = -1.006227
+Epoch 17:  77%|██████████████████████████████████████████▌            | 747/966 [26:33<07:47,  0.47it/s, v_num=s5n3]train step 17170; scene = ['dl3dv_98a565e356bc1b', 'dl3dv_9ddc3b01af8b13']; loss = -1.202868
+Epoch 17:  78%|███████████████████████████████████████████            | 757/966 [26:54<07:25,  0.47it/s, v_num=s5n3]train step 17180; scene = ['dl3dv_bb03c237321c95']; loss = -1.127259
+Epoch 17:  79%|███████████████████████████████████████████▋           | 767/966 [27:15<07:04,  0.47it/s, v_num=s5n3]train step 17190; scene = ['dl3dv_2916df3aa3356b']; loss = -0.715956
+Epoch 17:  80%|████████████████████████████████████████████▏          | 777/966 [27:35<06:42,  0.47it/s, v_num=s5n3]train step 17200; scene = ['dl3dv_4195895d5ff9d9']; loss = -0.997249
+Epoch 17:  81%|████████████████████████████████████████████▊          | 787/966 [28:03<06:22,  0.47it/s, v_num=s5n3]train step 17210; scene = ['dl3dv_2ca6ea4cff0e33']; loss = -1.153824
+Epoch 17:  83%|█████████████████████████████████████████████▍         | 797/966 [28:24<06:01,  0.47it/s, v_num=s5n3]train step 17220; scene = ['dl3dv_c07ac2cdc0dddc']; loss = -1.291169
+Epoch 17:  84%|█████████████████████████████████████████████▉         | 807/966 [28:44<05:39,  0.47it/s, v_num=s5n3]train step 17230; scene = ['dl3dv_4ddfc1f1dd0102']; loss = -0.424825
+Epoch 17:  85%|██████████████████████████████████████████████▌        | 817/966 [29:05<05:18,  0.47it/s, v_num=s5n3]train step 17240; scene = ['dl3dv_6e5c4d42d9e51a']; loss = -0.846980
+Epoch 17:  86%|███████████████████████████████████████████████        | 827/966 [29:24<04:56,  0.47it/s, v_num=s5n3]train step 17250; scene = ['dl3dv_e5dcfbf5830ec4']; loss = -1.482674
+Epoch 17:  87%|███████████████████████████████████████████████▋       | 837/966 [29:45<04:35,  0.47it/s, v_num=s5n3]train step 17260; scene = ['dl3dv_51ac9dfaa2932a']; loss = -0.635012
+Epoch 17:  88%|████████████████████████████████████████████████▏      | 847/966 [30:05<04:13,  0.47it/s, v_num=s5n3]train step 17270; scene = ['dl3dv_dfc5dcb12480a1']; loss = -1.895772
+Epoch 17:  89%|████████████████████████████████████████████████▊      | 857/966 [30:25<03:52,  0.47it/s, v_num=s5n3]train step 17280; scene = ['dl3dv_43101039ceceb9']; loss = -1.083423
+Epoch 17:  90%|█████████████████████████████████████████████████▎     | 867/966 [30:54<03:31,  0.47it/s, v_num=s5n3]train step 17290; scene = ['dl3dv_f43cf0af2d44e6']; loss = -1.358799
+Epoch 17:  91%|█████████████████████████████████████████████████▉     | 877/966 [31:13<03:10,  0.47it/s, v_num=s5n3]train step 17300; scene = ['dl3dv_2a2fae81540552']; loss = -0.711080
+Epoch 17:  92%|██████████████████████████████████████████████████▌    | 887/966 [31:33<02:48,  0.47it/s, v_num=s5n3]train step 17310; scene = ['dl3dv_4e2eab2d08445c']; loss = -1.282751
+Epoch 17:  93%|███████████████████████████████████████████████████    | 897/966 [32:03<02:27,  0.47it/s, v_num=s5n3]train step 17320; scene = ['dl3dv_ac05634e8f9f50']; loss = -1.254389
+Epoch 17:  94%|███████████████████████████████████████████████████▋   | 907/966 [32:23<02:06,  0.47it/s, v_num=s5n3]train step 17330; scene = ['dl3dv_77bba340488bd1', 'dl3dv_804644909d1eb7']; loss = -1.424095
+Epoch 17:  95%|████████████████████████████████████████████████████▏  | 917/966 [32:42<01:44,  0.47it/s, v_num=s5n3]train step 17340; scene = ['dl3dv_d69eef63beb110']; loss = -1.331351
+Epoch 17:  96%|████████████████████████████████████████████████████▊  | 927/966 [33:02<01:23,  0.47it/s, v_num=s5n3]train step 17350; scene = ['dl3dv_741fa72cea8398']; loss = -2.139310
+Epoch 17:  97%|█████████████████████████████████████████████████████▎ | 937/966 [33:23<01:01,  0.47it/s, v_num=s5n3]train step 17360; scene = ['dl3dv_92e79ba3e0f4bd']; loss = -1.483798
+Epoch 17:  98%|█████████████████████████████████████████████████████▉ | 947/966 [33:43<00:40,  0.47it/s, v_num=s5n3]train step 17370; scene = ['dl3dv_581c994a49d9be']; loss = -1.190531
+Epoch 17:  99%|██████████████████████████████████████████████████████▍| 957/966 [34:03<00:19,  0.47it/s, v_num=s5n3]train step 17380; scene = ['dl3dv_e2f173b6808275']; loss = -1.169976
+Epoch 18:   0%|                                                         | 1/966 [00:02<33:28,  0.48it/s, v_num=s5n3]train step 17390; scene = ['dl3dv_30e97b4de3ed00']; loss = -1.163339
+Epoch 18:   1%|▋                                                       | 11/966 [00:21<31:34,  0.50it/s, v_num=s5n3]train step 17400; scene = ['dl3dv_353d2a5ecffd34']; loss = -1.417137
+Epoch 18:   2%|█▏                                                      | 21/966 [00:47<35:31,  0.44it/s, v_num=s5n3]train step 17410; scene = ['dl3dv_d1b0f051bf449f']; loss = -1.218333
+Epoch 18:   3%|█▊                                                      | 31/966 [01:08<34:31,  0.45it/s, v_num=s5n3]train step 17420; scene = ['dl3dv_6a114fa2f5cf7c']; loss = -0.945930
+Epoch 18:   4%|██▍                                                     | 41/966 [01:28<33:10,  0.46it/s, v_num=s5n3]train step 17430; scene = ['dl3dv_d81534b0e3a5a2']; loss = -0.151192
+Epoch 18:   5%|██▉                                                     | 51/966 [01:48<32:32,  0.47it/s, v_num=s5n3]train step 17440; scene = ['dl3dv_2ccda28db4bd80', 'dl3dv_4a684fd885ca20', 'dl3dv_fae07f2ed5f9b4']; loss = -1.429617
+Epoch 18:   6%|███▌                                                    | 61/966 [02:07<31:33,  0.48it/s, v_num=s5n3]train step 17450; scene = ['dl3dv_db597a0cb6a4e4']; loss = -0.788113
+Epoch 18:   7%|████                                                    | 71/966 [02:28<31:10,  0.48it/s, v_num=s5n3]train step 17460; scene = ['dl3dv_8c5abb93a29eca']; loss = -0.481649
+Epoch 18:   8%|████▋                                                   | 81/966 [02:48<30:35,  0.48it/s, v_num=s5n3]train step 17470; scene = ['dl3dv_70bfb542028cca']; loss = -1.206612
+Epoch 18:   9%|█████▎                                                  | 91/966 [03:09<30:18,  0.48it/s, v_num=s5n3]train step 17480; scene = ['dl3dv_2198f5cc577539']; loss = -0.962315
+Epoch 18:  10%|█████▊                                                 | 101/966 [03:29<29:53,  0.48it/s, v_num=s5n3]train step 17490; scene = ['dl3dv_16433dba9fd1e2', 'dl3dv_ae29c755368670']; loss = -1.377513
+Epoch 18:  11%|██████▎                                                | 111/966 [03:48<29:20,  0.49it/s, v_num=s5n3]train step 17500; scene = ['dl3dv_f962479f0c2e21']; loss = -1.479222
+Epoch 18:  12%|██████▍                                                | 112/966 [03:50<29:20,  0.48it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 17500; scene = ['room'];
+Epoch 18:  13%|██████▉                                                | 121/966 [04:22<30:34,  0.46it/s, v_num=s5n3]train step 17510; scene = ['dl3dv_0e504315d431ac']; loss = -1.385645
+Epoch 18:  14%|███████▍                                               | 131/966 [04:41<29:53,  0.47it/s, v_num=s5n3]train step 17520; scene = ['dl3dv_8efe975becb7fc']; loss = -0.987479
+Epoch 18:  15%|████████                                               | 141/966 [05:11<30:21,  0.45it/s, v_num=s5n3]train step 17530; scene = ['dl3dv_e0a5470d1f203b']; loss = -0.947259
+Epoch 18:  16%|████████▌                                              | 151/966 [05:32<29:54,  0.45it/s, v_num=s5n3]train step 17540; scene = ['dl3dv_8275c23418681a']; loss = -0.541834
+Epoch 18:  17%|█████████▏                                             | 161/966 [05:52<29:22,  0.46it/s, v_num=s5n3]train step 17550; scene = ['dl3dv_8e54b020fd3c31']; loss = -1.065595
+Epoch 18:  18%|█████████▋                                             | 171/966 [06:12<28:50,  0.46it/s, v_num=s5n3]train step 17560; scene = ['dl3dv_f256b7659ee09c']; loss = -1.160527
+Epoch 18:  19%|██████████▎                                            | 181/966 [06:32<28:21,  0.46it/s, v_num=s5n3]train step 17570; scene = ['dl3dv_c96c7133232db2']; loss = -0.854077
+Epoch 18:  20%|██████████▊                                            | 191/966 [06:51<27:48,  0.46it/s, v_num=s5n3]train step 17580; scene = ['dl3dv_e3f7e530666356']; loss = -1.927728
+Epoch 18:  21%|███████████▍                                           | 201/966 [07:10<27:17,  0.47it/s, v_num=s5n3]train step 17590; scene = ['dl3dv_06a4aa9b9d01bc']; loss = -1.306881
+Epoch 18:  22%|████████████                                           | 211/966 [07:29<26:49,  0.47it/s, v_num=s5n3]train step 17600; scene = ['dl3dv_d227f5b7857fde']; loss = -1.403772
+Epoch 18:  23%|████████████▌                                          | 221/966 [07:53<26:35,  0.47it/s, v_num=s5n3]train step 17610; scene = ['dl3dv_e397c6ab9c4e8b']; loss = -1.336095
+Epoch 18:  24%|█████████████▏                                         | 231/966 [08:13<26:09,  0.47it/s, v_num=s5n3]train step 17620; scene = ['dl3dv_4961ef2ee60f01']; loss = -1.111039
+Epoch 18:  25%|█████████████▋                                         | 241/966 [08:33<25:43,  0.47it/s, v_num=s5n3]train step 17630; scene = ['dl3dv_2aad55a04491eb']; loss = -1.468639
+Epoch 18:  26%|██████████████▎                                        | 251/966 [08:53<25:20,  0.47it/s, v_num=s5n3]train step 17640; scene = ['dl3dv_363ac093914a19']; loss = -1.426455
+Epoch 18:  27%|██████████████▊                                        | 261/966 [09:13<24:54,  0.47it/s, v_num=s5n3]train step 17650; scene = ['dl3dv_1f2c6194a608f5']; loss = -1.537356
+Epoch 18:  28%|███████████████▍                                       | 271/966 [09:32<24:28,  0.47it/s, v_num=s5n3]train step 17660; scene = ['dl3dv_18691ec0a083de']; loss = -1.614749
+Epoch 18:  29%|███████████████▉                                       | 281/966 [09:51<24:03,  0.47it/s, v_num=s5n3]train step 17670; scene = ['dl3dv_244e943ab13cd6', 'dl3dv_716bd72d1405f8']; loss = -1.726409
+Epoch 18:  30%|████████████████▌                                      | 291/966 [10:22<24:04,  0.47it/s, v_num=s5n3]train step 17680; scene = ['dl3dv_908a6d252e62f0']; loss = -1.428706
+Epoch 18:  31%|█████████████████▏                                     | 301/966 [10:42<23:39,  0.47it/s, v_num=s5n3]train step 17690; scene = ['dl3dv_96b04705d50298']; loss = -1.525875
+Epoch 18:  32%|█████████████████▋                                     | 311/966 [11:01<23:14,  0.47it/s, v_num=s5n3]train step 17700; scene = ['dl3dv_a58df32f7be843', 'dl3dv_3fcfe7731d0d67']; loss = -1.570775
+Epoch 18:  33%|██████████████████▎                                    | 321/966 [11:21<22:49,  0.47it/s, v_num=s5n3]train step 17710; scene = ['dl3dv_4bfb56875a6e29']; loss = -1.829032
+Epoch 18:  34%|██████████████████▊                                    | 331/966 [11:40<22:24,  0.47it/s, v_num=s5n3]train step 17720; scene = ['dl3dv_a109c57929545a']; loss = -1.436272
+Epoch 18:  35%|███████████████████▍                                   | 341/966 [12:01<22:02,  0.47it/s, v_num=s5n3]train step 17730; scene = ['dl3dv_6cb46fd0937698']; loss = -1.126722
+Epoch 18:  36%|███████████████████▉                                   | 351/966 [12:22<21:40,  0.47it/s, v_num=s5n3]train step 17740; scene = ['dl3dv_b6c07fa831b27b']; loss = -1.108800
+Epoch 18:  37%|████████████████████▌                                  | 361/966 [12:42<21:18,  0.47it/s, v_num=s5n3]train step 17750; scene = ['dl3dv_377c0904500c8f']; loss = -1.360570
+Epoch 18:  38%|█████████████████████                                  | 371/966 [13:03<20:56,  0.47it/s, v_num=s5n3]train step 17760; scene = ['dl3dv_77842a82aa74ac', 'dl3dv_d0a84228d81539']; loss = -1.383890
+Epoch 18:  39%|█████████████████████▋                                 | 381/966 [13:22<20:32,  0.47it/s, v_num=s5n3]train step 17770; scene = ['dl3dv_d69b583539a416']; loss = -1.954420
+Epoch 18:  40%|██████████████████████▎                                | 391/966 [13:43<20:11,  0.47it/s, v_num=s5n3]train step 17780; scene = ['dl3dv_4d4a93a53e8326']; loss = -1.730018
+Epoch 18:  42%|██████████████████████▊                                | 401/966 [14:04<19:49,  0.47it/s, v_num=s5n3]train step 17790; scene = ['dl3dv_68a06df95a6960']; loss = -0.796215
+Epoch 18:  43%|███████████████████████▍                               | 411/966 [14:26<19:29,  0.47it/s, v_num=s5n3]train step 17800; scene = ['dl3dv_699d72f034fc64']; loss = -1.549842
+Epoch 18:  44%|███████████████████████▉                               | 421/966 [14:50<19:12,  0.47it/s, v_num=s5n3]train step 17810; scene = ['dl3dv_827f1466974408']; loss = -1.556907
+Epoch 18:  45%|████████████████████████▌                              | 431/966 [15:10<18:49,  0.47it/s, v_num=s5n3]train step 17820; scene = ['dl3dv_3190abedbea4b9']; loss = -1.636065
+Epoch 18:  46%|█████████████████████████                              | 441/966 [15:39<18:38,  0.47it/s, v_num=s5n3]train step 17830; scene = ['dl3dv_254627ab35a81c']; loss = -1.062778
+Epoch 18:  47%|█████████████████████████▋                             | 451/966 [16:00<18:17,  0.47it/s, v_num=s5n3]train step 17840; scene = ['dl3dv_6245653bbe30af']; loss = -1.176145
+Epoch 18:  48%|██████████████████████████▏                            | 461/966 [16:21<17:55,  0.47it/s, v_num=s5n3]train step 17850; scene = ['dl3dv_586a5633eea1ca']; loss = -0.801476
+Epoch 18:  49%|██████████████████████████▊                            | 471/966 [16:41<17:32,  0.47it/s, v_num=s5n3]train step 17860; scene = ['dl3dv_43ed6da6e6c09a']; loss = -1.661497
+Epoch 18:  50%|███████████████████████████▍                           | 481/966 [17:00<17:08,  0.47it/s, v_num=s5n3]train step 17870; scene = ['dl3dv_79fb20f607a2d9']; loss = -0.989639
+Epoch 18:  51%|███████████████████████████▉                           | 491/966 [17:20<16:47,  0.47it/s, v_num=s5n3]train step 17880; scene = ['dl3dv_9afc2f66ceb68f']; loss = -1.382642
+Epoch 18:  52%|████████████████████████████▌                          | 501/966 [17:41<16:25,  0.47it/s, v_num=s5n3]train step 17890; scene = ['dl3dv_67f777a0b12680', 'dl3dv_86eebcf2ec4809']; loss = -1.651598
+Epoch 18:  53%|█████████████████████████████                          | 511/966 [18:01<16:02,  0.47it/s, v_num=s5n3]train step 17900; scene = ['dl3dv_a39946ecf93801']; loss = -1.446999
+Epoch 18:  54%|█████████████████████████████▋                         | 521/966 [18:22<15:41,  0.47it/s, v_num=s5n3]train step 17910; scene = ['dl3dv_0e4eceb57f0488']; loss = -0.871132
+Epoch 18:  55%|██████████████████████████████▏                        | 531/966 [18:44<15:21,  0.47it/s, v_num=s5n3]train step 17920; scene = ['dl3dv_726824ed6955fa']; loss = -1.508659
+Epoch 18:  56%|██████████████████████████████▊                        | 541/966 [19:04<14:58,  0.47it/s, v_num=s5n3]train step 17930; scene = ['dl3dv_a8d3b8ebd64366']; loss = -0.774305
+Epoch 18:  57%|███████████████████████████████▎                       | 551/966 [19:22<14:35,  0.47it/s, v_num=s5n3]train step 17940; scene = ['dl3dv_53a3a04ca4a9a7']; loss = -1.122442
+Epoch 18:  58%|███████████████████████████████▉                       | 561/966 [19:53<14:21,  0.47it/s, v_num=s5n3]train step 17950; scene = ['dl3dv_6ede6eb208626e']; loss = -1.156815
+Epoch 18:  59%|████████████████████████████████▌                      | 571/966 [20:14<14:00,  0.47it/s, v_num=s5n3]train step 17960; scene = ['dl3dv_2a74824544a5fe', 'dl3dv_63e169debcec7a']; loss = -1.573938
+Epoch 18:  60%|█████████████████████████████████                      | 581/966 [20:35<13:38,  0.47it/s, v_num=s5n3]train step 17970; scene = ['dl3dv_e4d7354b7fd57f']; loss = -1.522991
+Epoch 18:  61%|█████████████████████████████████▋                     | 591/966 [20:55<13:16,  0.47it/s, v_num=s5n3]train step 17980; scene = ['dl3dv_73151bf7ef6382']; loss = -0.862292
+Epoch 18:  62%|██████████████████████████████████▏                    | 601/966 [21:16<12:55,  0.47it/s, v_num=s5n3]train step 17990; scene = ['dl3dv_c12223e5a11164']; loss = -0.376830
+Epoch 18:  63%|██████████████████████████████████▊                    | 611/966 [21:46<12:38,  0.47it/s, v_num=s5n3]train step 18000; scene = ['dl3dv_b173bd3e5bde69']; loss = -1.319680
+Epoch 18:  63%|██████████████████████████████████▊                    | 612/966 [22:02<12:44,  0.46it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 18000; scene = ['room'];
+Epoch 18:  64%|███████████████████████████████████▎                   | 621/966 [22:31<12:31,  0.46it/s, v_num=s5n3]train step 18010; scene = ['dl3dv_f7f45707a3cb68']; loss = -1.234558
+Epoch 18:  65%|███████████████████████████████████▉                   | 631/966 [22:53<12:09,  0.46it/s, v_num=s5n3]train step 18020; scene = ['dl3dv_9cf09884e2dfbf']; loss = -1.143255
+Epoch 18:  66%|████████████████████████████████████▍                  | 641/966 [23:13<11:46,  0.46it/s, v_num=s5n3]train step 18030; scene = ['dl3dv_54361b0d9febeb']; loss = -1.691198
+Epoch 18:  67%|█████████████████████████████████████                  | 651/966 [23:33<11:24,  0.46it/s, v_num=s5n3]train step 18040; scene = ['dl3dv_ca5353b546dc69']; loss = -1.517600
+Epoch 18:  68%|█████████████████████████████████████▋                 | 661/966 [23:54<11:01,  0.46it/s, v_num=s5n3]train step 18050; scene = ['dl3dv_3c4f871c1908b0']; loss = -0.248114
+Epoch 18:  69%|██████████████████████████████████████▏                | 671/966 [24:13<10:38,  0.46it/s, v_num=s5n3]train step 18060; scene = ['dl3dv_8b2678b44bce2e']; loss = -1.067152
+Epoch 18:  70%|██████████████████████████████████████▊                | 681/966 [24:44<10:21,  0.46it/s, v_num=s5n3]train step 18070; scene = ['dl3dv_b5d47f00a749b4']; loss = -1.402736
+Epoch 18:  72%|███████████████████████████████████████▎               | 691/966 [25:04<09:58,  0.46it/s, v_num=s5n3]train step 18080; scene = ['dl3dv_96efabeb0709b1']; loss = -1.279637
+Epoch 18:  73%|███████████████████████████████████████▉               | 701/966 [25:25<09:36,  0.46it/s, v_num=s5n3]train step 18090; scene = ['dl3dv_73feb2a705e76e']; loss = -0.685699
+Epoch 18:  74%|████████████████████████████████████████▍              | 711/966 [25:45<09:14,  0.46it/s, v_num=s5n3]train step 18100; scene = ['dl3dv_8e2a56e9798499', 'dl3dv_d61e2849bc4742']; loss = -1.764637
+Epoch 18:  75%|█████████████████████████████████████████              | 721/966 [26:05<08:51,  0.46it/s, v_num=s5n3]train step 18110; scene = ['dl3dv_b347867d8528db']; loss = -1.570958
+Epoch 18:  76%|█████████████████████████████████████████▌             | 731/966 [26:24<08:29,  0.46it/s, v_num=s5n3]train step 18120; scene = ['dl3dv_3d596b89bc78b7']; loss = -1.292167
+Epoch 18:  77%|██████████████████████████████████████████▏            | 741/966 [26:45<08:07,  0.46it/s, v_num=s5n3]train step 18130; scene = ['dl3dv_ae6cd17093378f']; loss = -1.391980
+Epoch 18:  78%|██████████████████████████████████████████▊            | 751/966 [27:05<07:45,  0.46it/s, v_num=s5n3]train step 18140; scene = ['dl3dv_e77f705bf340cf']; loss = -1.316440
+Epoch 18:  79%|███████████████████████████████████████████▎           | 761/966 [27:26<07:23,  0.46it/s, v_num=s5n3]train step 18150; scene = ['dl3dv_c4a95bb3196ab0']; loss = -1.148824
+Epoch 18:  80%|███████████████████████████████████████████▉           | 771/966 [27:47<07:01,  0.46it/s, v_num=s5n3]train step 18160; scene = ['dl3dv_da0a16fee5af7e']; loss = -1.692310
+Epoch 18:  81%|████████████████████████████████████████████▍          | 781/966 [28:08<06:40,  0.46it/s, v_num=s5n3]train step 18170; scene = ['dl3dv_a621748d87a0d9']; loss = -1.572323
+Epoch 18:  82%|█████████████████████████████████████████████          | 791/966 [28:26<06:17,  0.46it/s, v_num=s5n3]train step 18180; scene = ['dl3dv_61acc3a13531e0', 'dl3dv_49ade972cfcfdd', 'dl3dv_eecea5c420c864', 'dl3dv_4ee1917efdc434']; loss = -1.528754
+Epoch 18:  83%|█████████████████████████████████████████████▌         | 801/966 [28:46<05:55,  0.46it/s, v_num=s5n3]train step 18190; scene = ['dl3dv_50eff098046cb0']; loss = -1.046869
+Epoch 18:  84%|██████████████████████████████████████████████▏        | 811/966 [29:05<05:33,  0.46it/s, v_num=s5n3]train step 18200; scene = ['dl3dv_259d4609fe903b']; loss = -1.367150
+Epoch 18:  85%|██████████████████████████████████████████████▋        | 821/966 [29:31<05:12,  0.46it/s, v_num=s5n3]train step 18210; scene = ['dl3dv_825e90183ae19a']; loss = -1.258686
+Epoch 18:  86%|███████████████████████████████████████████████▎       | 831/966 [30:01<04:52,  0.46it/s, v_num=s5n3]train step 18220; scene = ['dl3dv_cd461070532350']; loss = -1.510445
+Epoch 18:  87%|███████████████████████████████████████████████▉       | 841/966 [30:30<04:32,  0.46it/s, v_num=s5n3]train step 18230; scene = ['dl3dv_215690bba2c36a']; loss = -1.060947
+Epoch 18:  88%|████████████████████████████████████████████████▍      | 851/966 [30:50<04:10,  0.46it/s, v_num=s5n3]train step 18240; scene = ['dl3dv_2118d53a84a8bb']; loss = -0.993645
+Epoch 18:  89%|█████████████████████████████████████████████████      | 861/966 [31:10<03:48,  0.46it/s, v_num=s5n3]train step 18250; scene = ['dl3dv_181599146a8385']; loss = -0.292170
+Epoch 18:  90%|█████████████████████████████████████████████████▌     | 871/966 [31:29<03:26,  0.46it/s, v_num=s5n3]train step 18260; scene = ['dl3dv_62f3a1d6da8e55', 'dl3dv_983410436e8f61']; loss = -1.772421
+Epoch 18:  91%|██████████████████████████████████████████████████▏    | 881/966 [31:47<03:04,  0.46it/s, v_num=s5n3]train step 18270; scene = ['dl3dv_4f99b0e330974b', 'dl3dv_3167a3fe1f3cbc']; loss = -1.412505
+Epoch 18:  92%|██████████████████████████████████████████████████▋    | 891/966 [32:08<02:42,  0.46it/s, v_num=s5n3]train step 18280; scene = ['dl3dv_43101039ceceb9']; loss = -1.083893
+Epoch 18:  93%|███████████████████████████████████████████████████▎   | 901/966 [32:28<02:20,  0.46it/s, v_num=s5n3]train step 18290; scene = ['dl3dv_e3530991876588']; loss = -0.864216
+Epoch 18:  94%|███████████████████████████████████████████████████▊   | 911/966 [32:49<01:58,  0.46it/s, v_num=s5n3]train step 18300; scene = ['dl3dv_d9e2536342dd0a']; loss = -1.517171
+Epoch 18:  95%|████████████████████████████████████████████████████▍  | 921/966 [33:08<01:37,  0.46it/s, v_num=s5n3]train step 18310; scene = ['dl3dv_6255290d6f86e2']; loss = -1.674888
+Epoch 18:  96%|█████████████████████████████████████████████████████  | 931/966 [33:29<01:15,  0.46it/s, v_num=s5n3]train step 18320; scene = ['dl3dv_ba28fc66fd2683']; loss = -2.559087
+Epoch 18:  97%|█████████████████████████████████████████████████████▌ | 941/966 [33:49<00:53,  0.46it/s, v_num=s5n3]train step 18330; scene = ['dl3dv_aad97ba714ecfe']; loss = -1.196970
+Epoch 18:  98%|██████████████████████████████████████████████████████▏| 951/966 [34:10<00:32,  0.46it/s, v_num=s5n3]train step 18340; scene = ['dl3dv_fc0ce3dd63eff4']; loss = -1.617444
+Epoch 18:  99%|██████████████████████████████████████████████████████▋| 961/966 [34:29<00:10,  0.46it/s, v_num=s5n3]train step 18350; scene = ['dl3dv_7681de3f520dd4']; loss = -1.039313
+Epoch 19:   1%|▎                                                        | 5/966 [00:10<32:30,  0.49it/s, v_num=s5n3]train step 18360; scene = ['dl3dv_860ad96a85fcac']; loss = -1.809360
+Epoch 19:   2%|▊                                                       | 15/966 [00:32<34:23,  0.46it/s, v_num=s5n3]train step 18370; scene = ['dl3dv_4d34378c7aeef2']; loss = -0.777415
+Epoch 19:   3%|█▍                                                      | 25/966 [00:52<33:08,  0.47it/s, v_num=s5n3]train step 18380; scene = ['dl3dv_ccbe140783cd51']; loss = -0.488706
+Epoch 19:   4%|██                                                      | 35/966 [01:12<32:16,  0.48it/s, v_num=s5n3]train step 18390; scene = ['dl3dv_a5dcea32844b38']; loss = -1.312256
+Epoch 19:   5%|██▌                                                     | 45/966 [01:30<31:01,  0.49it/s, v_num=s5n3]train step 18400; scene = ['dl3dv_b2f244c2aa0a7a']; loss = -1.456952
+Epoch 19:   6%|███▏                                                    | 55/966 [02:01<33:39,  0.45it/s, v_num=s5n3]train step 18410; scene = ['dl3dv_e4a09acf78c192', 'dl3dv_c7af6fee424493']; loss = -0.932365
+Epoch 19:   7%|███▊                                                    | 65/966 [02:22<32:58,  0.46it/s, v_num=s5n3]train step 18420; scene = ['dl3dv_5d3edcbba75de3']; loss = -2.228152
+Epoch 19:   8%|████▎                                                   | 75/966 [02:43<32:23,  0.46it/s, v_num=s5n3]train step 18430; scene = ['dl3dv_fae07f2ed5f9b4']; loss = -1.199126
+Epoch 19:   9%|████▉                                                   | 85/966 [03:13<33:25,  0.44it/s, v_num=s5n3]train step 18440; scene = ['dl3dv_493e4ff8aeb6bd']; loss = -0.797560
+Epoch 19:  10%|█████▌                                                  | 95/966 [03:32<32:32,  0.45it/s, v_num=s5n3]train step 18450; scene = ['dl3dv_a3b4193a86ff11']; loss = -1.051019
+Epoch 19:  11%|█████▉                                                 | 105/966 [03:54<31:59,  0.45it/s, v_num=s5n3]train step 18460; scene = ['dl3dv_6e1589a069919e', 'dl3dv_70bfb542028cca']; loss = -0.964739
+Epoch 19:  12%|██████▌                                                | 115/966 [04:13<31:15,  0.45it/s, v_num=s5n3]train step 18470; scene = ['dl3dv_8b10789be3fa80']; loss = -0.515081
+Epoch 19:  13%|███████                                                | 125/966 [04:33<30:38,  0.46it/s, v_num=s5n3]train step 18480; scene = ['dl3dv_9407ecd2a5a5b7']; loss = -0.129684
+Epoch 19:  14%|███████▋                                               | 135/966 [04:51<29:53,  0.46it/s, v_num=s5n3]train step 18490; scene = ['dl3dv_8703c6521db2e7', 'dl3dv_f962479f0c2e21']; loss = -1.423048
+Epoch 19:  15%|████████▎                                              | 145/966 [05:11<29:23,  0.47it/s, v_num=s5n3]train step 18500; scene = ['dl3dv_a8d0bb455a3c38']; loss = -1.315988
+Epoch 19:  15%|████████▎                                              | 146/966 [05:13<29:21,  0.47it/s, v_num=s5n3]Validation epoch start on rank 0
+Validation: |                                                                                 | 0/? [00:00<?, ?it/s]validation step 18500; scene = ['room'];
+Epoch 19:  16%|████████▊                                              | 155/966 [05:43<29:58,  0.45it/s, v_num=s5n3]train step 18510; scene = ['dl3dv_70afbdad4d7d9b']; loss = -1.222289
+Epoch 19:  17%|█████████▍                                             | 165/966 [06:04<29:27,  0.45it/s, v_num=s5n3]train step 18520; scene = ['dl3dv_0be3c2e40a4cc1']; loss = -0.612746
+Epoch 19:  18%|█████████▉                                             | 175/966 [06:25<29:01,  0.45it/s, v_num=s5n3]train step 18530; scene = ['dl3dv_4cdc9a4ff5782c', 'dl3dv_104d8f82b769f3']; loss = -0.644527
+Epoch 19:  19%|██████████▌                                            | 185/966 [06:45<28:30,  0.46it/s, v_num=s5n3]train step 18540; scene = ['dl3dv_f517d5d5cc7112']; loss = -0.504243
+Epoch 19:  20%|███████████                                            | 195/966 [07:06<28:05,  0.46it/s, v_num=s5n3]train step 18550; scene = ['dl3dv_a299980ea44c4c']; loss = -0.959611
+Epoch 19:  21%|███████████▋                                           | 205/966 [07:26<27:38,  0.46it/s, v_num=s5n3]train step 18560; scene = ['dl3dv_ae14f9c36912c3']; loss = -0.574834
+Epoch 19:  22%|████████████▏                                          | 215/966 [07:44<27:03,  0.46it/s, v_num=s5n3]train step 18570; scene = ['dl3dv_6a6f4fdf144d16']; loss = -0.775793
+Epoch 19:  23%|████████████▊                                          | 225/966 [08:05<26:38,  0.46it/s, v_num=s5n3]train step 18580; scene = ['dl3dv_9fe973dd91bad2']; loss = -1.524325
+Epoch 19:  24%|█████████████▍                                         | 235/966 [08:25<26:11,  0.47it/s, v_num=s5n3]train step 18590; scene = ['dl3dv_3a466c7e1fcde4']; loss = -1.210781
+Epoch 19:  25%|█████████████▉                                         | 245/966 [08:55<26:16,  0.46it/s, v_num=s5n3]train step 18600; scene = ['dl3dv_54663b31031f3a']; loss = -1.451617
+Epoch 19:  26%|██████████████▌                                        | 255/966 [09:19<26:00,  0.46it/s, v_num=s5n3]train step 18610; scene = ['dl3dv_0a2e21aeea2e8c']; loss = -1.053190
+Epoch 19:  27%|███████████████                                        | 265/966 [09:40<25:34,  0.46it/s, v_num=s5n3]train step 18620; scene = ['dl3dv_a9effeeec1e262']; loss = -1.212721
+Epoch 19:  28%|███████████████▋                                       | 275/966 [10:00<25:09,  0.46it/s, v_num=s5n3]train step 18630; scene = ['dl3dv_4f08b0607df9ce']; loss = -2.091722
+Epoch 19:  30%|████████████████▏                                      | 285/966 [10:21<24:45,  0.46it/s, v_num=s5n3]train step 18640; scene = ['dl3dv_81a300434b2c17']; loss = -1.171911
+Epoch 19:  31%|████████████████▊                                      | 295/966 [10:41<24:19,  0.46it/s, v_num=s5n3]train step 18650; scene = ['dl3dv_244e943ab13cd6']; loss = -1.401761
+Epoch 19:  32%|█████████████████▎                                     | 305/966 [11:01<23:54,  0.46it/s, v_num=s5n3]train step 18660; scene = ['dl3dv_a03c2b5a49e81c']; loss = -1.483383
+Epoch 19:  33%|█████████████████▉                                     | 315/966 [11:21<23:28,  0.46it/s, v_num=s5n3]train step 18670; scene = ['dl3dv_d3577c15cfa086']; loss = -0.779157
+Epoch 19:  34%|██████████████████▌                                    | 325/966 [11:42<23:06,  0.46it/s, v_num=s5n3]train step 18680; scene = ['dl3dv_a58df32f7be843']; loss = -0.847541
+Epoch 19:  35%|███████████████████                                    | 335/966 [12:03<22:42,  0.46it/s, v_num=s5n3]train step 18690; scene = ['dl3dv_4bfb56875a6e29']; loss = -1.733234
+Epoch 19:  36%|███████████████████▋                                   | 345/966 [12:22<22:15,  0.46it/s, v_num=s5n3]train step 18700; scene = ['dl3dv_e51229d48c32f7']; loss = -0.923610
+Epoch 19:  37%|████████████████████▏                                  | 355/966 [12:40<21:49,  0.47it/s, v_num=s5n3]train step 18710; scene = ['dl3dv_bd7f4ea768843e']; loss = -1.009362
+Epoch 19:  38%|████████████████████▊                                  | 365/966 [13:01<21:26,  0.47it/s, v_num=s5n3]train step 18720; scene = ['dl3dv_522e2383dc7146']; loss = -1.067352
+Epoch 19:  39%|█████████████████████▎                                 | 375/966 [13:20<21:01,  0.47it/s, v_num=s5n3]train step 18730; scene = ['dl3dv_37a844db239656']; loss = -1.236269
+Epoch 19:  40%|█████████████████████▉                                 | 385/966 [13:49<20:51,  0.46it/s, v_num=s5n3]train step 18740; scene = ['dl3dv_d0a84228d81539']; loss = -1.399080
+Epoch 19:  41%|██████████████████████▍                                | 395/966 [14:08<20:26,  0.47it/s, v_num=s5n3]train step 18750; scene = ['dl3dv_ed2b530d8b42cc']; loss = -1.156512
+Epoch 19:  41%|██████████████████████▌                                | 396/966 [14:10<20:24,  0.47it/s, v_num=s5n3][2025-10-27 07:25:40,575][py.warnings][WARNING] - /opt/conda/envs/dcsplat/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4631: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+
+Epoch 19:  41%|██████████████████████▌                                | 397/966 [14:29<20:46,  0.46it/s, v_num=s5n3]
+`Trainer.fit` stopped: `max_steps=18751` reached.
diff --git a/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/requirements.txt b/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..884742edc2273b7405ea7618a15f348719a2b022
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/requirements.txt
@@ -0,0 +1,119 @@
+lightning==2.5.1
+opt-einsum-fx==0.1.4
+six==1.17.0
+colorama==0.4.6
+fsspec==2024.6.1
+Pygments==2.19.2
+yarl==1.20.1
+MarkupSafe==3.0.2
+beartype==0.19.0
+Jinja2==3.1.6
+omegaconf==2.3.0
+wandb==0.22.0
+markdown-it-py==4.0.0
+colorspacious==1.1.2
+nvidia-cuda-nvrtc-cu12==12.8.61
+pyparsing==3.2.5
+opt_einsum==3.4.0
+opencv-python==4.11.0.86
+filelock==3.17.0
+wheel==0.45.1
+nvidia-cufile-cu12==1.13.0.11
+antlr4-python3-runtime==4.9.3
+aiohttp==3.12.15
+einops==0.8.1
+smmap==5.0.2
+proglog==0.1.12
+pydantic_core==2.33.2
+imageio-ffmpeg==0.6.0
+nvidia-cuda-runtime-cu12==12.8.57
+pillow==10.4.0
+typing-inspection==0.4.1
+pandas==2.3.2
+tqdm==4.67.1
+brotlicffi==1.0.9.2
+idna==3.7
+nvidia-curand-cu12==10.3.9.55
+cffi==1.17.1
+async-timeout==5.0.1
+kiwisolver==1.4.9
+kornia==0.8.1
+pytz==2025.2
+scikit-image==0.25.2
+tzdata==2025.2
+hf-xet==1.1.10
+networkx==3.4.2
+huggingface-hub==0.35.1
+pydantic==2.11.9
+pytorch-lightning==2.5.1
+moviepy==1.0.3
+sentry-sdk==2.39.0
+nvidia-nvtx-cu12==12.8.55
+aiosignal==1.4.0
+urllib3==2.5.0
+torch==2.7.1+cu128
+nvidia-nvjitlink-cu12==12.8.61
+dacite==1.9.2
+pip==25.2
+torchmetrics==1.8.2
+charset-normalizer==3.3.2
+propcache==0.3.2
+pycparser==2.23
+scikit-video==1.1.11
+lightning-utilities==0.14.3
+cycler==0.12.1
+scipy==1.15.3
+nvidia-cuda-cupti-cu12==12.8.57
+sympy==1.14.0
+lpips==0.1.4
+multidict==6.6.4
+protobuf==6.32.1
+tifffile==2025.5.10
+fonttools==4.60.0
+matplotlib==3.10.6
+attrs==25.3.0
+hydra-core==1.3.2
+nvidia-cublas-cu12==12.8.3.14
+click==8.3.0
+easydict==1.13
+nvidia-cusparselt-cu12==0.6.3
+annotated-types==0.7.0
+imageio==2.37.0
+mdurl==0.1.2
+GitPython==3.1.45
+safetensors==0.5.3
+nvidia-cusolver-cu12==11.7.2.55
+mpmath==1.3.0
+jaxtyping==0.2.37
+torchaudio==2.7.1+cu128
+fused-ssim==1.0.0
+nvidia-cudnn-cu12==9.7.1.26
+python-dateutil==2.9.0.post0
+frozenlist==1.7.0
+e3nn==0.5.8
+kornia_rs==0.1.9
+PyYAML==6.0.2
+packaging==24.2
+ninja==1.13.0
+setuptools==78.1.1
+gmpy2==2.2.1
+tabulate==0.9.0
+decorator==4.4.2
+nvidia-cusparse-cu12==12.5.7.53
+triton==3.3.1
+numpy==1.26.4
+contourpy==1.3.2
+torchvision==0.22.1+cu128
+lazy_loader==0.4
+gitdb==4.0.12
+nvidia-cufft-cu12==11.3.3.41
+requests==2.32.5
+typing_extensions==4.15.0
+platformdirs==4.4.0
+PySocks==1.7.1
+nvidia-nccl-cu12==2.26.2
+certifi==2025.8.3
+aiohappyeyeballs==2.6.1
+wadler_lindig==0.1.7
+gsplat==1.5.3
+rich==14.1.0
diff --git a/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/wandb-metadata.json b/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..152ffd3febcf25a4d6a983282d63effb2376192e
--- /dev/null
+++ b/checkpoints/wandb/run-20251026_201644-lz1fs5n3/files/wandb-metadata.json
@@ -0,0 +1,97 @@
+{
+  "os":  "Linux-5.15.0-157-generic-x86_64-with-glibc2.35",
+  "python":  "CPython 3.12.12",
+  "startedAt":  "2025-10-27T03:16:44.700615Z",
+  "args":  [
+    "+experiment=dl3dv",
+    "wandb.mode=online",
+    "wandb.name=1027_DL3DV_FULL_U",
+    "train.one_sample_validation=datasets/dl3dv/room_batch.pt",
+    "optimizer.backbone_trainable=GB+H",
+    "model.encoder.use_uncertainty_token=true",
+    "train.use_uncertainty_camera_weight=true",
+    "train.use_target_uncertainty=point_similarity_mult"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/CVPR2026.git",
+    "commit":  "f52a5478f636651cb5dc33ec47fa679a6f7338ca"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/root/highspeedstorage/injae_dl3dv/code/CVPR2026/outputs/full/dl3dv/1027_DL3DV_FULL_U",
+  "host":  "notebook-61057517-b2e0-11f0-b992-125e6a168a5d-0",
+  "executable":  "/opt/conda/envs/dcsplat/bin/python",
+  "cpu_count":  128,
+  "cpu_count_logical":  256,
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