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MedOtter
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CA_Net

ONNX
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tyluan commited on
Commit
7ce1dc4
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1 Parent(s): 5de3347

Add ONNX graphs: ACDC.onnx, ACDC.onnx.config.json, ACDC.onnx.provenance.json, BUSI.onnx, BUSI.onnx.config.json, BUSI.onnx.provenance.json, COVIDQUEx.onnx, COVIDQUEx.onnx.config.json, COVIDQUEx.onnx.provenance.json, DRIVE.onnx, DRIVE.onnx.config.json, DRIVE.onnx.provenance.json, ISIC2018.onnx, ISIC2018.onnx.config.json, ISIC2018.onnx.provenance.json, KvasirSEG.onnx, KvasirSEG.onnx.config.json, KvasirSEG.onnx.provenance.json, PROMISE12.onnx, PROMISE12.onnx.config.json, PROMISE12.onnx.provenance.json, UWaterlooSkinCancer.onnx, UWaterlooSkinCancer.onnx.config.json, UWaterlooSkinCancer.onnx.provenance.json (tools/hf_onnx_export.py)

Browse files
Files changed (24) hide show
  1. ACDC.onnx +3 -0
  2. ACDC.onnx.config.json +16 -0
  3. ACDC.onnx.provenance.json +172 -0
  4. BUSI.onnx +3 -0
  5. BUSI.onnx.config.json +30 -0
  6. BUSI.onnx.provenance.json +172 -0
  7. COVIDQUEx.onnx +3 -0
  8. COVIDQUEx.onnx.config.json +30 -0
  9. COVIDQUEx.onnx.provenance.json +172 -0
  10. DRIVE.onnx +3 -0
  11. DRIVE.onnx.config.json +30 -0
  12. DRIVE.onnx.provenance.json +172 -0
  13. ISIC2018.onnx +3 -0
  14. ISIC2018.onnx.config.json +30 -0
  15. ISIC2018.onnx.provenance.json +172 -0
  16. KvasirSEG.onnx +3 -0
  17. KvasirSEG.onnx.config.json +30 -0
  18. KvasirSEG.onnx.provenance.json +172 -0
  19. PROMISE12.onnx +3 -0
  20. PROMISE12.onnx.config.json +30 -0
  21. PROMISE12.onnx.provenance.json +172 -0
  22. UWaterlooSkinCancer.onnx +3 -0
  23. UWaterlooSkinCancer.onnx.config.json +30 -0
  24. UWaterlooSkinCancer.onnx.provenance.json +172 -0
ACDC.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ff449b51babdc331e33dae311efbfa6cad42dd15dcf9efd76440a8df69e3089c
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+ size 11198925
ACDC.onnx.config.json ADDED
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+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "graph": "onnx",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 4
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+ }
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+ },
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+ "inference": {
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+ "size": [
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+ 256,
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+ 256
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+ ]
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+ }
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+ }
ACDC.onnx.provenance.json ADDED
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+ {
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+ "schema": "medotter/graph-provenance/v1",
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+ "source": {
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+ "file": "ACDC.pth",
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+ "sha256": "92e4b00ef194de9ce83725571a732defa422196030468f19cbc681d28f7d53f1",
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+ "reference": "ACDC.pth",
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+ "model": "CA_Net",
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+ "declaration_source": "sidecar",
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+ "declaration": [
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+ {
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+ "file": "ACDC.pth.config.json",
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+ "sha256": "4a5564f88b020aa405ef74495d9cd77fe28217eacbe88cf5106bea22854c3f9b"
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+ }
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+ ],
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+ "float32_vs_float64": {
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+ "shape": [
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+ 1,
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+ 3,
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+ 256,
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+ 256
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+ ],
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+ "torch": "ok",
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+ "float64": "ok",
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+ "threads": 6,
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+ "max_abs_diff": 1.1520824847122135e-05,
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+ "scale": 9.18034493077713,
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+ "rel_diff": 1.2549446599221497e-06,
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+ "kernel_noise_rel": 1.2595713136035468e-06
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+ }
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+ },
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+ "graph": {
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+ "kind": "onnx",
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+ "file": "ACDC.onnx",
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+ "sha256": "ff449b51babdc331e33dae311efbfa6cad42dd15dcf9efd76440a8df69e3089c",
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+ "bytes": 11198925,
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+ "opset": 17,
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+ "dynamic": false,
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+ "reason": "fixed_size",
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+ "input": "image",
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+ "output": "logits",
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+ "input_channel": 3,
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+ "num_classes": 4,
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+ "size": [
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+ 256,
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+ 256
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+ ]
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+ },
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+ "exporter": {
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+ "api": "torch.onnx.export",
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+ "name": "torchscript",
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+ "dynamo": false,
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+ "registered_symbolics": {
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+ "aten::_convolution_mode": 17,
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+ "aten::add": 17,
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+ "aten::roll": 17,
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+ "aten::rsub": 17,
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+ "aten::sub": 17,
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+ "aten::upsample_nearest2d": 17
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+ },
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+ "producer": "pytorch 2.13.0",
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+ "torch": "2.13.0+cpu",
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+ "onnx": "1.22.0",
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+ "onnxruntime": "1.29.0"
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+ },
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+ "verification_input": {
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+ "kind": "smooth_random_field",
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+ "distribution": "normal",
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+ "coarse_factor": 16,
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+ "min_coarse": 4,
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+ "interpolation": "bilinear",
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+ "align_corners": false,
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+ "seed": 0,
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+ "pixel_domain": null,
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+ "pixel_mean": null,
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+ "pixel_std": null,
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+ "through_contract": false
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+ },
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+ "attempts": [
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+ {
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+ "mode": "dynamic",
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+ "exporter": "torchscript",
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+ "outcome": "fell_back",
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+ "reason": "fixed_size",
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+ "error": {
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+ "kind": "export",
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+ "text": "torchscript: SymbolicValueError: Failed to export a node '%970 : Long(device=cpu) = onnx::Gather[axis=0](%967, %969), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/CNN/CA_Net/layers/scale_attention_layer.py:59:0 ' (in list node %975 : int[] = prim::ListConstruct(%970, %974), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate ) because it is not constant. Please try to make things (e.g. kernel sizes) static if possible. [Caused by the value '975 defined in (%975 : int[] = prim::ListConstruct(%970, %974), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate )' (type 'List[int]') in the TorchScript graph. The containing node has kind 'prim::ListConstruct'.] Inputs: #0: 970 defined in (%970 : Long(device=cpu) = onnx::Gather[axis=0](%967, %969), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/CNN/CA_Net/layers/scale_attention_layer.py:59:0 ) (type 'Tensor') #1: 974 defined in (%974 : Long(device=cpu) = onnx::Gather[axis=0](%971, %973), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/CNN/CA_Net/layers/scale_attention_layer.py:59:0 ) (type 'Tensor') Outputs: #0: 975 defined in (%975 : int[] = prim::ListConstruct(%970, %974), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate ) (type 'List[int]')"
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+ },
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+ "verification": null
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+ },
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+ {
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+ "mode": "static",
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+ "exporter": "torchscript",
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+ "outcome": "kept",
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+ "reason": "fixed_size",
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+ "error": null,
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+ "verification": [
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+ {
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+ "shape": [
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+ 1,
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+ 3,
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+ 256,
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+ 256
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+ ],
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+ "torch": "ok",
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+ "graph": "ok",
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+ "max_abs_diff": 1.6689300537109375e-05,
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+ "scale": 9.180346488952637,
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+ "rel_diff": 1.8179379783968717e-06
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+ ],
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+ "verification": [
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+ {
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+ 256,
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+ 256
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+ "torch": "ok",
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+ "graph": "ok",
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+ "max_abs_diff": 1.6689300537109375e-05,
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+ "scale": 9.180346488952637,
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+ "rel_diff": 1.8179379783968717e-06
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+ }
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+ ],
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+ "exported_at": "2026-09-09T22:56:20+00:00",
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+ "release": {
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+ "repo": "MedOtter/CA_Net",
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+ "revision": "5de3347a927380613da4a263073f25235ca8a27c",
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+ "pth_file": "ACDC.pth",
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+ "pth_sha256": "92e4b00ef194de9ce83725571a732defa422196030468f19cbc681d28f7d53f1",
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+ "sidecar_sha256": "9867fc324419b3f483f4f5b56708a3271f503d4c68bf7fdb4c768189884baefb",
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+ "sidecar_source": "hub",
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+ "group": "checkout_only",
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+ "reason": "fixed_size",
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+ "dynamic_attempt": null,
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+ "reference_check": {
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+ "dataset": "ACDC",
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+ "split": "test",
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+ "samples": 4,
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+ "reproducible": true,
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+ "status": "pass",
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+ "sizes": [
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+ {
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+ "size": [
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+ 256
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+ "predict_masks_equal": 3,
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+ "pixels": 262144,
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+ "unexplained_pixels": 0,
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+ "max_abs_diff": 0.05713653564453125,
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+ "float32_vs_float64": {
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+ "samples": 4,
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+ "of": 4,
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+ "complete": true
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+ }
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+ }
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+ ]
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+ },
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+ "tool": "tools/hf_onnx_export.py",
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+ "stamped_at": "2026-09-09T22:56:29+00:00"
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+ }
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+ }
BUSI.onnx ADDED
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+ size 11198865
BUSI.onnx.config.json ADDED
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+ {
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+ "schema": "medotter/model-sidecar/v1",
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+ "model": {
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+ "graph": "onnx",
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+ "args": {
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+ "input_channel": 3,
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+ "num_classes": 1
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+ }
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+ },
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+ "inference": {
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+ "normalize": {
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+ "std": [
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+ "scale": 255.0,
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+ "size": [
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+ 256
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+ ],
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+ "threshold": 0.5
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+ }
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+ }
BUSI.onnx.provenance.json ADDED
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+ {
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+ "schema": "medotter/graph-provenance/v1",
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+ "source": {
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+ "file": "BUSI.pth",
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+ "sha256": "8ac7b542a3a947f0979ae939a099cf3497ee57e1e334a37344d6ec68c4ab9dba",
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+ "reference": "BUSI.pth",
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+ "model": "CA_Net",
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+ "declaration_source": "sidecar",
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+ "declaration": [
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+ {
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+ "file": "BUSI.pth.config.json",
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+ "sha256": "7839ff007b82810f99314c7b4d2c55229bb36f0e3b107d4cb4d0e5995ca0d1b7"
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+ "graph": {
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+ "file": "BUSI.onnx",
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+ "sha256": "af0883d1e20788b5b77af7743a2f0cfb6410614937dd1e7141b8e3483e40683d",
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+ "bytes": 11198865,
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+ "opset": 17,
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+ "dynamic": false,
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+ "input": "image",
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+ "output": "logits",
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+ "input_channel": 3,
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+ "num_classes": 1,
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+ "size": [
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+ 256,
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+ 256
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+ ]
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+ },
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+ "exporter": {
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+ "api": "torch.onnx.export",
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+ "name": "torchscript",
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+ "dynamo": false,
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+ "registered_symbolics": {
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+ "aten::_convolution_mode": 17,
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+ "aten::add": 17,
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+ "aten::rsub": 17,
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+ "aten::sub": 17,
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+ "aten::upsample_nearest2d": 17
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+ },
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+ "producer": "pytorch 2.13.0",
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+ "torch": "2.13.0+cpu",
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+ "onnx": "1.22.0",
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+ "onnxruntime": "1.29.0"
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+ },
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+ "verification_input": {
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+ "kind": "smooth_random_field",
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+ "distribution": "normal",
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+ "coarse_factor": 16,
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+ "min_coarse": 4,
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+ "interpolation": "bilinear",
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+ "align_corners": false,
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+ "pixel_domain": "uint8-range smooth field through the declaration's intensity contract",
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+ "pixel_mean": 127.5,
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+ "through_contract": true
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+ "exporter": "torchscript",
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+ "outcome": "fell_back",
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+ "reason": "fixed_size",
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+ "error": {
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+ "kind": "export",
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+ "text": "torchscript: SymbolicValueError: Failed to export a node '%970 : Long(device=cpu) = onnx::Gather[axis=0](%967, %969), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/CNN/CA_Net/layers/scale_attention_layer.py:59:0 ' (in list node %975 : int[] = prim::ListConstruct(%970, %974), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate ) because it is not constant. Please try to make things (e.g. kernel sizes) static if possible. [Caused by the value '975 defined in (%975 : int[] = prim::ListConstruct(%970, %974), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate )' (type 'List[int]') in the TorchScript graph. The containing node has kind 'prim::ListConstruct'.] Inputs: #0: 970 defined in (%970 : Long(device=cpu) = onnx::Gather[axis=0](%967, %969), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/CNN/CA_Net/layers/scale_attention_layer.py:59:0 ) (type 'Tensor') #1: 974 defined in (%974 : Long(device=cpu) = onnx::Gather[axis=0](%971, %973), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-research/model_zoo/CNN/CA_Net/layers/scale_attention_layer.py:59:0 ) (type 'Tensor') Outputs: #0: 975 defined in (%975 : int[] = prim::ListConstruct(%970, %974), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.CNN.CA_Net.CA_Net.Comprehensive_Atten_Unet::inner/model_zoo.CNN.CA_Net.layers.scale_attention_layer.scale_atten_convblock::scale_att/model_zoo.CNN.CA_Net.layers.scale_attention_layer.Scale_atten_block::cbam/model_zoo.CNN.CA_Net.layers.scale_attention_layer.ChannelGate::ChannelGate ) (type 'List[int]')"
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+ },
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+ "verification": null
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+ },
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+ {
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+ "outcome": "kept",
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+ "error": null,
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+ "verification": [
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+ {
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+ "shape": [
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+ "torch": "ok",
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