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exp_0511_B16x4/2026-05-11_01-09-09/wandb/debug-internal.log

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exp_0511_B16x4/2026-05-11_01-09-09/wandb/debug.log

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+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/logs/debug.log
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+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_init.py:init():850] calling init triggers
+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 16, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': True, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_B16x4', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, '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': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, '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', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
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exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            bzfxohbc14279zovz0t4rtlmmmlijdwz:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                    - model.encoder.gaussian_predictor.outside_border_parents=true
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968553984"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-09-09
+                startedAt: "2026-05-10T16:10:26.855125Z"
+                writerId: bzfxohbc14279zovz0t4rtlmmmlijdwz
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
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+                - 1
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+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: true
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_B16x4
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256

exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/output.log

@@ -0,0 +1,155 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,104.898 Total estimated model params size (MB)
+1591      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: 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
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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)`.
+Epoch 0: |                                                                                                     | 0/? [00:00<?, ?it/s]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Error executing job with overrides: ['+training=gaussian_head_toy', 'wandb.project=flexsplat', 'wandb.mode=online', 'wandb.name=0511_B16x4', 'data_loader.train.batch_size=16', 'model.encoder.gaussian_predictor.min_children=4', 'model.encoder.gaussian_predictor.max_children=16', 'train.pixel_error_mode=abs', 'train.error_loss_weight=0.1', 'model.encoder.gaussian_predictor.top_k=16', 'train.hierarchical_patch_position_loss_target=parent', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'train.gaussian_train_ratio_sampling=uniform', 'train.context_view_loss=true', 'model.encoder.backbone.estimating_pose=true', 'train.camera_loss=10.0', 'model.encoder.backbone.target_pose_source=gt_aligned', 'model.encoder.backbone.gt_target_pose_align_mode=nearest_context', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'model.encoder.gaussian_predictor.use_pred_intrinsic=false', 'model.encoder.gaussian_predictor.outside_border_parents=true']
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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 "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/launchers/subprocess_script.py", line 105, in launch
+    return function(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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 "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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 "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 641, in __call__
+    wrapper_output = wrapper_module(*args, **kwargs)
+                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+    else self._run_ddp_forward(*inputs, **kwargs)
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+    return self.module(*inputs, **kwargs)  # type: ignore[index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 634, in wrapped_forward
+    out = method(*_args, **_kwargs)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/model_wrapper.py", line 2954, in training_step
+    torch.autograd.backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/__init__.py", line 354, in backward
+    _engine_run_backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/graph.py", line 829, in _engine_run_backward
+    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/main.py", line 186, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 69, in _call_and_handle_interrupt
+    trainer._teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1035, in _teardown
+    self.strategy.teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/ddp.py", line 419, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/parallel.py", line 134, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 536, in teardown
+    self.lightning_module.cpu()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/fabric/utilities/device_dtype_mixin.py", line 82, in cpu
+    return super().cpu()
+           ^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in cpu
+    return self._apply(lambda t: t.cpu())
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  [Previous line repeated 3 more times]
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 955, in _apply
+    param_applied = fn(param)
+                    ^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in <lambda>
+    return self._apply(lambda t: t.cpu())
+                                 ^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/requirements.txt

@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0

exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/wandb-metadata.json

@@ -0,0 +1,111 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T16:10:26.855125Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_B16x4",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false",
+    "model.encoder.gaussian_predictor.outside_border_parents=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
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'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_B16x4', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, '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': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, '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', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
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+2026-05-11 01:14:10,559 INFO    wandb-AsyncioManager-main:1707265 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.

exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/config.yaml

@@ -0,0 +1,349 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            5xmu41vo8lbziiojyv7mdlus98lby356:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                    - model.encoder.gaussian_predictor.outside_border_parents=true
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968685056"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-12-45
+                startedAt: "2026-05-10T16:14:02.468862Z"
+                writerId: 5xmu41vo8lbziiojyv7mdlus98lby356
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: true
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_B16x4
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256

exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/output.log

@@ -0,0 +1,155 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,104.898 Total estimated model params size (MB)
+1591      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: 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
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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)`.
+Epoch 0: |                                                                                                     | 0/? [00:00<?, ?it/s]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Error executing job with overrides: ['+training=gaussian_head_toy', 'wandb.project=flexsplat', 'wandb.mode=online', 'wandb.name=0511_B16x4', 'data_loader.train.batch_size=16', 'model.encoder.gaussian_predictor.min_children=4', 'model.encoder.gaussian_predictor.max_children=16', 'train.pixel_error_mode=abs', 'train.error_loss_weight=0.1', 'model.encoder.gaussian_predictor.top_k=16', 'train.hierarchical_patch_position_loss_target=parent', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'train.gaussian_train_ratio_sampling=uniform', 'train.context_view_loss=true', 'model.encoder.backbone.estimating_pose=true', 'train.camera_loss=10.0', 'model.encoder.backbone.target_pose_source=gt_aligned', 'model.encoder.backbone.gt_target_pose_align_mode=nearest_context', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'model.encoder.gaussian_predictor.use_pred_intrinsic=false', 'model.encoder.gaussian_predictor.outside_border_parents=true']
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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 "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/launchers/subprocess_script.py", line 105, in launch
+    return function(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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 "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/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 "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 641, in __call__
+    wrapper_output = wrapper_module(*args, **kwargs)
+                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+    else self._run_ddp_forward(*inputs, **kwargs)
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+    return self.module(*inputs, **kwargs)  # type: ignore[index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 634, in wrapped_forward
+    out = method(*_args, **_kwargs)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/model_wrapper.py", line 2954, in training_step
+    torch.autograd.backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/__init__.py", line 354, in backward
+    _engine_run_backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/graph.py", line 829, in _engine_run_backward
+    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/main.py", line 186, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 69, in _call_and_handle_interrupt
+    trainer._teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1035, in _teardown
+    self.strategy.teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/ddp.py", line 419, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/parallel.py", line 134, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 536, in teardown
+    self.lightning_module.cpu()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/fabric/utilities/device_dtype_mixin.py", line 82, in cpu
+    return super().cpu()
+           ^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in cpu
+    return self._apply(lambda t: t.cpu())
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  [Previous line repeated 3 more times]
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 955, in _apply
+    param_applied = fn(param)
+                    ^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in <lambda>
+    return self._apply(lambda t: t.cpu())
+                                 ^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/requirements.txt

@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0

exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/wandb-metadata.json

@@ -0,0 +1,111 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T16:14:02.468862Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_B16x4",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false",
+    "model.encoder.gaussian_predictor.outside_border_parents=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-12-45",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "649968685056"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
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+}

exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/wandb-summary.json

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exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/logs/debug-core.log

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exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/logs/debug-internal.log

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exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/logs/debug.log

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+2026-05-11 01:14:02,469 INFO    MainThread:1707265 [wandb_setup.py:_flush():81] Loading settings from environment variables
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'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, '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', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
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exp_0511_B16x4/2026-05-11_01-14-35/wandb/debug.log

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+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 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'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_B16x4', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, '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': 0.0001, 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'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, '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', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
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exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/config.yaml

@@ -0,0 +1,348 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            yvwgqdwwhuekmf5vznv5junyux9wuxg8:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968820224"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-14-35
+                startedAt: "2026-05-10T16:15:50.557827Z"
+                writerId: yvwgqdwwhuekmf5vznv5junyux9wuxg8
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_B16x4
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256