{
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    "sha256": "349c59d6ae1ed28dc12201ce290f86a4d91ec8ce7df074abcaa16384e93680ba",
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        "sha256": "0e549a9e05b553b7ed74aae3918d33d3b4586e37d008f8db4313bceafad3303c"
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    "float32_vs_float64": {
      "shape": [
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        3,
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        256
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      "torch": "ok",
      "float64": "ok",
      "threads": 8,
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    "name": "dynamo",
    "dynamo": true,
    "registered_symbolics": {},
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    "torch": "2.13.0+cpu",
    "onnx": "1.22.0",
    "onnxruntime": "1.29.0"
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  "verification_input": {
    "kind": "smooth_random_field",
    "distribution": "normal",
    "coarse_factor": 16,
    "min_coarse": 4,
    "interpolation": "bilinear",
    "align_corners": false,
    "seed": 0,
    "pixel_domain": "uint8-range smooth field through the declaration's intensity contract",
    "pixel_mean": 127.5,
    "pixel_std": 45.0,
    "through_contract": true
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  "attempts": [
    {
      "mode": "dynamic",
      "exporter": "torchscript",
      "outcome": "fell_back",
      "reason": "fixed_size",
      "error": {
        "kind": "export",
        "text": "torchscript: SymbolicValueError: Failed to export a node '%387 : Long(device=cpu) = onnx::Gather[axis=0](%384, %386), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Mamba.MUCM_Net.MUCM_Net.MUCM_Net::inner/model_zoo.Mamba.MUCM_Net.MUCM_Net.OverlapPatchEmbed::patch_embed1 # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/Mamba/MUCM_Net/MUCM_Net.py:781:0 ' (in list node %1387 : int[] = prim::ListConstruct(%387, %392), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Mamba.MUCM_Net.MUCM_Net.MUCM_Net::inner/model_zoo.Mamba.MUCM_Net.MUCM_Net.UCMBlock::block_0_1.0/model_zoo.Mamba.MUCM_Net.MUCM_Net.DWConv::dwconv ) because it is not constant. Please try to make things (e.g. kernel sizes) static if possible. [Caused by the value '1387 defined in (%1387 : int[] = prim::ListConstruct(%387, %392), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Mamba.MUCM_Net.MUCM_Net.MUCM_Net::inner/model_zoo.Mamba.MUCM_Net.MUCM_Net.UCMBlock::block_0_1.0/model_zoo.Mamba.MUCM_Net.MUCM_Net.DWConv::dwconv )' (type 'List[int]') in the TorchScript graph. The containing node has kind 'prim::ListConstruct'.] Inputs: #0: 387 defined in (%387 : Long(device=cpu) = onnx::Gather[axis=0](%384, %386), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Mamba.MUCM_Net.MUCM_Net.MUCM_Net::inner/model_zoo.Mamba.MUCM_Net.MUCM_Net.OverlapPatchEmbed::patch_embed1 # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/Mamba/MUCM_Net/MUCM_Net.py:781:0 ) (type 'Tensor') #1: 392 defined in (%392 : Long(device=cpu) = onnx::Gather[axis=0](%389, %391), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Mamba.MUCM_Net.MUCM_Net.MUCM_Net::inner/model_zoo.Mamba.MUCM_Net.MUCM_Net.OverlapPatchEmbed::patch_embed1 # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/Mamba/MUCM_Net/MUCM_Net.py:781:0 ) (type 'Tensor') Outputs: #0: 1387 defined in (%1387 : int[] = prim::ListConstruct(%387, %392), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Mamba.MUCM_Net.MUCM_Net.MUCM_Net::inner/model_zoo.Mamba.MUCM_Net.MUCM_Net.UCMBlock::block_0_1.0/model_zoo.Mamba.MUCM_Net.MUCM_Net.DWConv::dwconv ) (type 'List[int]')"
      },
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    {
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      "outcome": "kept",
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      "error": null,
      "verification": [
        {
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            3,
            256,
            256
          ],
          "torch": "ok",
          "graph": "ok",
          "max_abs_diff": 0.0017008781433105469,
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          "rel_diff": 0.00012062669065898967
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    {
      "shape": [
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        256
      ],
      "torch": "ok",
      "graph": "ok",
      "max_abs_diff": 0.0017008781433105469,
      "scale": 14.100346565246582,
      "rel_diff": 0.00012062669065898967
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  "exported_at": "2026-09-10T02:27:27+00:00",
  "release": {
    "repo": "MedOtter/MUCM_Net",
    "revision": "097c6945bab2c6261eb6b560da6a9d13f6239a5e",
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    "pth_sha256": "349c59d6ae1ed28dc12201ce290f86a4d91ec8ce7df074abcaa16384e93680ba",
    "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594",
    "sidecar_source": "hub",
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      "samples": 4,
      "reproducible": true,
      "status": "pass",
      "sizes": [
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          "predict_masks_equal": 4,
          "pixels": 262144,
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            "complete": true
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    "tool": "tools/hf_onnx_export.py",
    "stamped_at": "2026-09-10T02:27:47+00:00"
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}