{ "schema": "medotter/graph-provenance/v1", "source": { "file": "UWaterlooSkinCancer.pth", "sha256": "1bd232d6858cd4cd93b7de4fffe93bc4be9351748781f0b33f4f2d44ae4d78b1", "reference": "UWaterlooSkinCancer.pth", "model": "MUCM_Net", "declaration_source": "sidecar", "declaration": [ { "file": "UWaterlooSkinCancer.pth.config.json", "sha256": "0e549a9e05b553b7ed74aae3918d33d3b4586e37d008f8db4313bceafad3303c" } ], "float32_vs_float64": { "shape": [ 1, 3, 256, 256 ], "torch": "ok", "float64": "ok", "threads": 8, "max_abs_diff": 0.0008446669509301064, "scale": 10.65425033074388, "rel_diff": 7.927981084626268e-05, "kernel_noise_rel": 0.00011206796546158397 } }, "graph": { "kind": "onnx", "file": "UWaterlooSkinCancer.onnx", "sha256": "eef8419af916fe0368348a5f2c28c8817a67335c811e2624daa0648d2377da71", "bytes": 3337352, "opset": 20, "dynamic": false, "reason": "fixed_size", "input": "image", "output": "logits", "input_channel": 3, "num_classes": 1, "size": [ 256, 256 ] }, "exporter": { "api": "torch.onnx.export", "name": "dynamo", "dynamo": true, "registered_symbolics": {}, "producer": "pytorch 2.13.0+cpu", "torch": "2.13.0+cpu", "onnx": "1.22.0", "onnxruntime": "1.29.0" }, "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 }, "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..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..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..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..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..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..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]')" }, "verification": null }, { "mode": "static", "exporter": "dynamo", "outcome": "kept", "reason": "fixed_size", "error": null, "verification": [ { "shape": [ 1, 3, 256, 256 ], "torch": "ok", "graph": "ok", "max_abs_diff": 0.002537250518798828, "scale": 10.654251098632812, "rel_diff": 0.00023814442660586592 } ] } ], "verification": [ { "shape": [ 1, 3, 256, 256 ], "torch": "ok", "graph": "ok", "max_abs_diff": 0.002537250518798828, "scale": 10.654251098632812, "rel_diff": 0.00023814442660586592 } ], "exported_at": "2026-09-10T02:32:33+00:00", "release": { "repo": "MedOtter/MUCM_Net", "revision": "097c6945bab2c6261eb6b560da6a9d13f6239a5e", "pth_file": "UWaterlooSkinCancer.pth", "pth_sha256": "1bd232d6858cd4cd93b7de4fffe93bc4be9351748781f0b33f4f2d44ae4d78b1", "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594", "sidecar_source": "hub", "group": "checkout_only", "reason": "fixed_size", "dynamic_attempt": null, "reference_check": { "dataset": "UWaterlooSkinCancer", "split": "val", "samples": 4, "reproducible": true, "status": "pass", "sizes": [ { "size": [ 256, 256 ], "predict_masks_equal": 4, "pixels": 262144, "disagreeing_pixels": 1, "unexplained_pixels": 0, "max_abs_diff": 0.0034743547439575195, "scale": 10.639901161193848, "rel_diff": 0.000326540133345344, "float32_vs_float64": { "max_abs_diff": 0.0015327125308051137, "scale": 10.639901807602508, "rel_diff": 0.00014405325899811855, "samples": 4, "of": 4, "complete": true } } ] }, "tool": "tools/hf_onnx_export.py", "stamped_at": "2026-09-10T02:33:14+00:00" } }