{ "schema": "medotter/graph-provenance/v1", "source": { "file": "KvasirSEG.pth", "sha256": "7cf3b9109cf662c2a11b2ba1e4d1c1520af241571c0e46128d7042d492438bd5", "reference": "KvasirSEG.pth", "model": "MUCM_Net", "declaration_source": "sidecar", "declaration": [ { "file": "KvasirSEG.pth.config.json", "sha256": "45191b980e5628bdcfbdc364615a568ca6addd5cd2e26dbbcffd252f534051ef" } ], "float32_vs_float64": { "shape": [ 1, 3, 256, 256 ], "torch": "ok", "float64": "ok", "threads": 8, "max_abs_diff": 1.874699422010906e-05, "scale": 12.105463226124474, "rel_diff": 1.5486391449813895e-06, "kernel_noise_rel": 2.284634227696731e-06 } }, "graph": { "kind": "onnx", "file": "KvasirSEG.onnx", "sha256": "0f58d4601eb23962ef4dcf2b1495964596645a4aa6d2ad4ba08572a1a6fa1a60", "bytes": 3342013, "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": 0.0002536773681640625, "scale": 12.105463027954102, "rel_diff": 2.095561050232174e-05 } ] } ], "verification": [ { "shape": [ 1, 3, 256, 256 ], "torch": "ok", "graph": "ok", "max_abs_diff": 0.0002536773681640625, "scale": 12.105463027954102, "rel_diff": 2.095561050232174e-05 } ], "exported_at": "2026-09-10T02:31:47+00:00", "release": { "repo": "MedOtter/MUCM_Net", "revision": "097c6945bab2c6261eb6b560da6a9d13f6239a5e", "pth_file": "KvasirSEG.pth", "pth_sha256": "7cf3b9109cf662c2a11b2ba1e4d1c1520af241571c0e46128d7042d492438bd5", "sidecar_sha256": "1445f651ec927f1196af8ad861bf4ef54128f23d2812ee825908fa7d98195fa6", "sidecar_source": "hub", "group": "checkout_only", "reason": "fixed_size", "dynamic_attempt": null, "reference_check": { "dataset": "KvasirSEG", "split": "val", "samples": 4, "reproducible": true, "status": "pass", "sizes": [ { "size": [ 256, 256 ], "predict_masks_equal": 4, "pixels": 262144, "disagreeing_pixels": 0, "unexplained_pixels": 0, "max_abs_diff": 0.00045013427734375, "scale": 10.844292640686035, "rel_diff": 4.1508864824886674e-05, "float32_vs_float64": { "max_abs_diff": 3.5451837200994873e-05, "scale": 10.844293010211587, "rel_diff": 3.269169983475314e-06, "samples": 4, "of": 4, "complete": true } } ] }, "tool": "tools/hf_onnx_export.py", "stamped_at": "2026-09-10T02:31:54+00:00" } }