{
  "experiment": "A6 decoder viability probe",
  "case_id": "gso_000_input4",
  "uid": "Ortho_Forward_Facing_3Q6J2oKJD92",
  "seed": 1,
  "steps": 12,
  "pipeline_type": "512",
  "adapter_checkpoint": "/home/jiachen/TRELLIS/experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/baseline_preserving_v2/training/adapter_step_0025.pt",
  "adapter_checkpoint_step": 25,
  "selected_alpha": 0.125,
  "adapter_extraction_resources": {
    "elapsed_sec": 0.9339802637696266,
    "peak_allocated_bytes": 7534551552,
    "peak_reserved_bytes": 7948206080,
    "num_views": 4,
    "dino_shape": [
      4,
      1029,
      1024
    ],
    "vggt_patch_shape": [
      4,
      1369,
      2048
    ],
    "fused_shape": [
      1,
      4,
      1029,
      1024
    ]
  },
  "selected_first": {
    "mode": "vggt_adapter",
    "status": "failed",
    "error": "RuntimeError: max(): Expected reduction dim to be specified for input.numel() == 0. Specify the reduction dim with the 'dim' argument.",
    "elapsed_sec": 6.393497424200177,
    "peak_allocated_bytes": 8060800512,
    "peak_reserved_bytes": 8097103872,
    "events": [
      {
        "elapsed_sec": 5.288762826938182,
        "coords": {
          "shape": [
            0,
            4
          ],
          "numel": 0,
          "dtype": "torch.int32",
          "device": "cuda:0"
        },
        "token_count": 0,
        "event": "sample_sparse_structure_ok",
        "index": 0
      },
      {
        "input_coords": {
          "shape": [
            0,
            4
          ],
          "numel": 0,
          "dtype": "torch.int32",
          "device": "cuda:0"
        },
        "event": "sample_shape_slat_start",
        "index": 1
      },
      {
        "elapsed_sec": 0.858845692127943,
        "error": "RuntimeError: max(): Expected reduction dim to be specified for input.numel() == 0. Specify the reduction dim with the 'dim' argument.",
        "event": "sample_shape_slat_failed",
        "index": 2
      }
    ],
    "mesh_summary": null
  },
  "baseline": {
    "mode": "multidiffusion",
    "status": "ok",
    "error": null,
    "elapsed_sec": 14.155772945843637,
    "peak_allocated_bytes": 10680455168,
    "peak_reserved_bytes": 10743709696,
    "events": [
      {
        "elapsed_sec": 4.275285593234003,
        "coords": {
          "shape": [
            26,
            4
          ],
          "numel": 104,
          "dtype": "torch.int32",
          "device": "cuda:0",
          "finite": true,
          "mean": 6.54807710647583,
          "std": 9.304548263549805,
          "rms": 11.377695083618164,
          "min": 0.0,
          "max": 24.0
        },
        "token_count": 26,
        "event": "sample_sparse_structure_ok",
        "index": 0
      },
      {
        "input_coords": {
          "shape": [
            26,
            4
          ],
          "numel": 104,
          "dtype": "torch.int32",
          "device": "cuda:0",
          "finite": true,
          "mean": 6.54807710647583,
          "std": 9.304548263549805,
          "rms": 11.377695083618164,
          "min": 0.0,
          "max": 24.0
        },
        "event": "sample_shape_slat_start",
        "index": 1
      },
      {
        "elapsed_sec": 3.8931595040485263,
        "shape_slat": {
          "type": "SparseTensor",
          "coord_shape": [
            26,
            4
          ],
          "token_count": 26,
          "coord_min_xyz": [
            0,
            1,
            20
          ],
          "coord_max_xyz": [
            2,
            5,
            24
          ],
          "coord_extent_xyz": [
            3,
            5,
            5
          ],
          "feat_shape": [
            26,
            32
          ],
          "feat_numel": 832,
          "feat_finite": true,
          "feat_rms": 5.650640964508057,
          "feat_mean": 0.007615786511451006,
          "feat_std": 5.650636196136475,
          "feat_min": -16.28598976135254,
          "feat_max": 21.108322143554688,
          "shape": [
            1,
            32
          ],
          "spatial_shape": [
            3,
            6,
            25
          ]
        },
        "event": "sample_shape_slat_ok",
        "index": 2
      },
      {
        "shape_slat": {
          "type": "SparseTensor",
          "coord_shape": [
            26,
            4
          ],
          "token_count": 26,
          "coord_min_xyz": [
            0,
            1,
            20
          ],
          "coord_max_xyz": [
            2,
            5,
            24
          ],
          "coord_extent_xyz": [
            3,
            5,
            5
          ],
          "feat_shape": [
            26,
            32
          ],
          "feat_numel": 832,
          "feat_finite": true,
          "feat_rms": 5.650640964508057,
          "feat_mean": 0.007615786511451006,
          "feat_std": 5.650636196136475,
          "feat_min": -16.28598976135254,
          "feat_max": 21.108322143554688,
          "shape": [
            1,
            32
          ],
          "spatial_shape": [
            3,
            6,
            25
          ]
        },
        "event": "sample_tex_slat_start",
        "index": 3
      },
      {
        "elapsed_sec": 4.060011595021933,
        "tex_slat": {
          "type": "SparseTensor",
          "coord_shape": [
            26,
            4
          ],
          "token_count": 26,
          "coord_min_xyz": [
            0,
            1,
            20
          ],
          "coord_max_xyz": [
            2,
            5,
            24
          ],
          "coord_extent_xyz": [
            3,
            5,
            5
          ],
          "feat_shape": [
            26,
            32
          ],
          "feat_numel": 832,
          "feat_finite": true,
          "feat_rms": 2.9612653255462646,
          "feat_mean": 0.5164365768432617,
          "feat_std": 2.9158852100372314,
          "feat_min": -8.067262649536133,
          "feat_max": 7.847695350646973,
          "shape": [
            1,
            32
          ],
          "spatial_shape": [
            3,
            6,
            25
          ]
        },
        "event": "sample_tex_slat_ok",
        "index": 4
      },
      {
        "resolution": 512,
        "shape_slat": {
          "type": "SparseTensor",
          "coord_shape": [
            26,
            4
          ],
          "token_count": 26,
          "coord_min_xyz": [
            0,
            1,
            20
          ],
          "coord_max_xyz": [
            2,
            5,
            24
          ],
          "coord_extent_xyz": [
            3,
            5,
            5
          ],
          "feat_shape": [
            26,
            32
          ],
          "feat_numel": 832,
          "feat_finite": true,
          "feat_rms": 5.650640964508057,
          "feat_mean": 0.007615786511451006,
          "feat_std": 5.650636196136475,
          "feat_min": -16.28598976135254,
          "feat_max": 21.108322143554688,
          "shape": [
            1,
            32
          ],
          "spatial_shape": [
            3,
            6,
            25
          ]
        },
        "event": "decode_shape_slat_start",
        "index": 5
      },
      {
        "elapsed_sec": 0.9386962978169322,
        "mesh_count": 1,
        "meshes": [
          {
            "type": "Mesh",
            "vertices": 6678,
            "vertex_shape": [
              6678,
              3
            ],
            "faces": 13346,
            "face_shape": [
              13346,
              3
            ]
          }
        ],
        "subs_count": 4,
        "subs": [
          {
            "type": "SparseTensor",
            "coord_shape": [
              26,
              4
            ],
            "token_count": 26,
            "coord_min_xyz": [
              0,
              1,
              20
            ],
            "coord_max_xyz": [
              2,
              5,
              24
            ],
            "coord_extent_xyz": [
              3,
              5,
              5
            ],
            "feat_shape": [
              26,
              8
            ],
            "feat_numel": 208,
            "feat_finite": true,
            "feat_rms": 130.88792419433594,
            "feat_mean": 1.635761022567749,
            "feat_std": 130.87770080566406,
            "feat_min": -160.25,
            "feat_max": 236.125,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              3,
              6,
              25
            ]
          },
          {
            "type": "SparseTensor",
            "coord_shape": [
              93,
              4
            ],
            "token_count": 93,
            "coord_min_xyz": [
              0,
              3,
              41
            ],
            "coord_max_xyz": [
              4,
              11,
              49
            ],
            "coord_extent_xyz": [
              5,
              9,
              9
            ],
            "feat_shape": [
              93,
              8
            ],
            "feat_numel": 744,
            "feat_finite": true,
            "feat_rms": 103.9771957397461,
            "feat_mean": 9.089250564575195,
            "feat_std": 103.57916259765625,
            "feat_min": -178.75,
            "feat_max": 194.75,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              5,
              12,
              50
            ]
          },
          {
            "type": "SparseTensor",
            "coord_shape": [
              396,
              4
            ],
            "token_count": 396,
            "coord_min_xyz": [
              1,
              7,
              83
            ],
            "coord_max_xyz": [
              9,
              22,
              99
            ],
            "coord_extent_xyz": [
              9,
              16,
              17
            ],
            "feat_shape": [
              396,
              8
            ],
            "feat_numel": 3168,
            "feat_finite": true,
            "feat_rms": 28.40941047668457,
            "feat_mean": -4.959428787231445,
            "feat_std": 27.973176956176758,
            "feat_min": -90.125,
            "feat_max": 51.09375,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              10,
              23,
              100
            ]
          },
          {
            "type": "SparseTensor",
            "coord_shape": [
              1653,
              4
            ],
            "token_count": 1653,
            "coord_min_xyz": [
              3,
              14,
              167
            ],
            "coord_max_xyz": [
              19,
              44,
              199
            ],
            "coord_extent_xyz": [
              17,
              31,
              33
            ],
            "feat_shape": [
              1653,
              8
            ],
            "feat_numel": 13224,
            "feat_finite": true,
            "feat_rms": 10.355722427368164,
            "feat_mean": -0.7311866879463196,
            "feat_std": 10.329875946044922,
            "feat_min": -36.90625,
            "feat_max": 26.296875,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              20,
              45,
              200
            ]
          }
        ],
        "event": "decode_shape_slat_ok",
        "index": 6
      },
      {
        "tex_slat": {
          "type": "SparseTensor",
          "coord_shape": [
            26,
            4
          ],
          "token_count": 26,
          "coord_min_xyz": [
            0,
            1,
            20
          ],
          "coord_max_xyz": [
            2,
            5,
            24
          ],
          "coord_extent_xyz": [
            3,
            5,
            5
          ],
          "feat_shape": [
            26,
            32
          ],
          "feat_numel": 832,
          "feat_finite": true,
          "feat_rms": 2.9612653255462646,
          "feat_mean": 0.5164365768432617,
          "feat_std": 2.9158852100372314,
          "feat_min": -8.067262649536133,
          "feat_max": 7.847695350646973,
          "shape": [
            1,
            32
          ],
          "spatial_shape": [
            3,
            6,
            25
          ]
        },
        "subs_count": 4,
        "subs": [
          {
            "type": "SparseTensor",
            "coord_shape": [
              26,
              4
            ],
            "token_count": 26,
            "coord_min_xyz": [
              0,
              1,
              20
            ],
            "coord_max_xyz": [
              2,
              5,
              24
            ],
            "coord_extent_xyz": [
              3,
              5,
              5
            ],
            "feat_shape": [
              26,
              8
            ],
            "feat_numel": 208,
            "feat_finite": true,
            "feat_rms": 130.88792419433594,
            "feat_mean": 1.635761022567749,
            "feat_std": 130.87770080566406,
            "feat_min": -160.25,
            "feat_max": 236.125,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              3,
              6,
              25
            ]
          },
          {
            "type": "SparseTensor",
            "coord_shape": [
              93,
              4
            ],
            "token_count": 93,
            "coord_min_xyz": [
              0,
              3,
              41
            ],
            "coord_max_xyz": [
              4,
              11,
              49
            ],
            "coord_extent_xyz": [
              5,
              9,
              9
            ],
            "feat_shape": [
              93,
              8
            ],
            "feat_numel": 744,
            "feat_finite": true,
            "feat_rms": 103.9771957397461,
            "feat_mean": 9.089250564575195,
            "feat_std": 103.57916259765625,
            "feat_min": -178.75,
            "feat_max": 194.75,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              5,
              12,
              50
            ]
          },
          {
            "type": "SparseTensor",
            "coord_shape": [
              396,
              4
            ],
            "token_count": 396,
            "coord_min_xyz": [
              1,
              7,
              83
            ],
            "coord_max_xyz": [
              9,
              22,
              99
            ],
            "coord_extent_xyz": [
              9,
              16,
              17
            ],
            "feat_shape": [
              396,
              8
            ],
            "feat_numel": 3168,
            "feat_finite": true,
            "feat_rms": 28.40941047668457,
            "feat_mean": -4.959428787231445,
            "feat_std": 27.973176956176758,
            "feat_min": -90.125,
            "feat_max": 51.09375,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              10,
              23,
              100
            ]
          },
          {
            "type": "SparseTensor",
            "coord_shape": [
              1653,
              4
            ],
            "token_count": 1653,
            "coord_min_xyz": [
              3,
              14,
              167
            ],
            "coord_max_xyz": [
              19,
              44,
              199
            ],
            "coord_extent_xyz": [
              17,
              31,
              33
            ],
            "feat_shape": [
              1653,
              8
            ],
            "feat_numel": 13224,
            "feat_finite": true,
            "feat_rms": 10.355722427368164,
            "feat_mean": -0.7311866879463196,
            "feat_std": 10.329875946044922,
            "feat_min": -36.90625,
            "feat_max": 26.296875,
            "shape": [
              1,
              8
            ],
            "spatial_shape": [
              20,
              45,
              200
            ]
          }
        ],
        "event": "decode_tex_slat_start",
        "index": 7
      },
      {
        "elapsed_sec": 0.6417687311768532,
        "tex_voxels": {
          "type": "SparseTensor",
          "coord_shape": [
            6678,
            4
          ],
          "token_count": 6678,
          "coord_min_xyz": [
            7,
            28,
            335
          ],
          "coord_max_xyz": [
            38,
            89,
            398
          ],
          "coord_extent_xyz": [
            32,
            62,
            64
          ],
          "feat_shape": [
            6678,
            6
          ],
          "feat_numel": 40068,
          "feat_finite": true,
          "feat_rms": 0.8191997408866882,
          "feat_mean": 0.7403605580329895,
          "feat_std": 0.3506486117839813,
          "feat_min": -0.0012834668159484863,
          "feat_max": 1.0024174451828003,
          "shape": [
            1,
            6
          ],
          "spatial_shape": [
            39,
            90,
            399
          ]
        },
        "event": "decode_tex_slat_ok",
        "index": 8
      }
    ],
    "mesh_summary": [
      {
        "type": "MeshWithVoxel",
        "vertices": 6703,
        "vertex_shape": [
          6703,
          3
        ],
        "faces": 13496,
        "face_shape": [
          13496,
          3
        ]
      }
    ]
  },
  "selected_after_baseline": {
    "mode": "vggt_adapter",
    "status": "failed",
    "error": "RuntimeError: max(): Expected reduction dim to be specified for input.numel() == 0. Specify the reduction dim with the 'dim' argument.",
    "elapsed_sec": 5.03261847095564,
    "peak_allocated_bytes": 8060803072,
    "peak_reserved_bytes": 8097103872,
    "events": [
      {
        "elapsed_sec": 4.651285026688129,
        "coords": {
          "shape": [
            0,
            4
          ],
          "numel": 0,
          "dtype": "torch.int32",
          "device": "cuda:0"
        },
        "token_count": 0,
        "event": "sample_sparse_structure_ok",
        "index": 0
      },
      {
        "input_coords": {
          "shape": [
            0,
            4
          ],
          "numel": 0,
          "dtype": "torch.int32",
          "device": "cuda:0"
        },
        "event": "sample_shape_slat_start",
        "index": 1
      },
      {
        "elapsed_sec": 0.13219194114208221,
        "error": "RuntimeError: max(): Expected reduction dim to be specified for input.numel() == 0. Specify the reduction dim with the 'dim' argument.",
        "event": "sample_shape_slat_failed",
        "index": 2
      }
    ],
    "mesh_summary": null
  },
  "process_wall_sec": 114.39014978799969,
  "interpretation": [
    "The probe records where TRELLIS.2 crosses from sparse support into shape/texture decode.",
    "If selected-alpha sparse tokens match baseline but decode_shape_slat produces an empty mesh or empty substructure, the gate must be placed after shape SLat sampling and before texture/mesh post-processing."
  ]
}