{ "schema": "medotter/graph-provenance/v1", "source": { "file": "ACDC.pth", "sha256": "29ae06567e0a98fc6972beaee903ac7cbd8039e3b4fecbabe854e78b4fc9ea3d", "reference": "ACDC.pth", "model": "MUCM_Net", "declaration_source": "sidecar", "declaration": [ { "file": "ACDC.pth.config.json", "sha256": "c8b90b0f4551740f0a685a66844fee861342c160ee40d84124c19b8a81997790" } ], "float32_vs_float64": { "shape": [ 1, 3, 256, 256 ], "torch": "ok", "float64": "ok", "threads": 8, "max_abs_diff": 0.000250349307821196, "scale": 25.27641186756059, "rel_diff": 9.904463858752475e-06, "kernel_noise_rel": 1.61860919137605e-05 } }, "graph": { "kind": "onnx", "file": "ACDC.onnx", "sha256": "8a627a0a63e4055a563334ea01214926ae226f765d09c45a1285852db87f2662", "bytes": 3342061, "opset": 20, "dynamic": false, "reason": "fixed_size", "input": "image", "output": "logits", "input_channel": 3, "num_classes": 4, "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": null, "pixel_mean": null, "pixel_std": null, "through_contract": false }, "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": 0.0005035400390625, "scale": 25.276409149169922, "rel_diff": 1.992134389385908e-05 } ] } ], "verification": [ { "shape": [ 1, 3, 256, 256 ], "torch": "ok", "graph": "ok", "max_abs_diff": 0.0005035400390625, "scale": 25.276409149169922, "rel_diff": 1.992134389385908e-05 } ], "exported_at": "2026-09-10T02:25:47+00:00", "release": { "repo": "MedOtter/MUCM_Net", "revision": "097c6945bab2c6261eb6b560da6a9d13f6239a5e", "pth_file": "ACDC.pth", "pth_sha256": "29ae06567e0a98fc6972beaee903ac7cbd8039e3b4fecbabe854e78b4fc9ea3d", "sidecar_sha256": "9867fc324419b3f483f4f5b56708a3271f503d4c68bf7fdb4c768189884baefb", "sidecar_source": "hub", "group": "checkout_only", "reason": "fixed_size", "dynamic_attempt": null, "reference_check": { "dataset": "ACDC", "split": "test", "samples": 4, "reproducible": true, "status": "pass", "sizes": [ { "size": [ 256, 256 ], "predict_masks_equal": 1, "pixels": 262144, "disagreeing_pixels": 0, "unexplained_pixels": 0, "max_abs_diff": 0.0023794174194335938, "scale": 24.02022933959961, "rel_diff": 9.90588968070717e-05, "float32_vs_float64": { "max_abs_diff": 0.0003447967908685873, "scale": 24.02023493326234, "rel_diff": 1.4354430413631189e-05, "samples": 4, "of": 4, "complete": true } } ] }, "tool": "tools/hf_onnx_export.py", "stamped_at": "2026-09-10T02:25:57+00:00" } }