Add ONNX graphs: DRIVE.onnx, DRIVE.onnx.config.json, DRIVE.onnx.provenance.json, KvasirSEG.onnx, KvasirSEG.onnx.config.json, KvasirSEG.onnx.provenance.json, UWaterlooSkinCancer.onnx, UWaterlooSkinCancer.onnx.config.json, UWaterlooSkinCancer.onnx.provenance.json (tools/hf_onnx_export.py)
Browse files- DRIVE.onnx +3 -0
- DRIVE.onnx.config.json +30 -0
- DRIVE.onnx.provenance.json +298 -0
- KvasirSEG.onnx +3 -0
- KvasirSEG.onnx.config.json +30 -0
- KvasirSEG.onnx.provenance.json +298 -0
- UWaterlooSkinCancer.onnx +3 -0
- UWaterlooSkinCancer.onnx.config.json +30 -0
- UWaterlooSkinCancer.onnx.provenance.json +298 -0
DRIVE.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:190a7bce20036ced025306ad110ed6d6f9d57617fd545403fd2cfd1c7c41490a
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size 59044992
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DRIVE.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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| 5 |
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"args": {
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"input_channel": 3,
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| 7 |
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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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"mean": [
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0.485,
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| 14 |
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0.456,
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0.406
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],
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"std": [
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| 18 |
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58.395,
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| 19 |
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57.12,
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| 20 |
+
57.375
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| 21 |
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]
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},
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"scale": 255.0,
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"size": [
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256,
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256
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],
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"threshold": 0.5
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}
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}
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DRIVE.onnx.provenance.json
ADDED
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@@ -0,0 +1,298 @@
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| 1 |
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{
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| 2 |
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"schema": "medotter/graph-provenance/v1",
|
| 3 |
+
"source": {
|
| 4 |
+
"file": "DRIVE.pth",
|
| 5 |
+
"sha256": "3abba7a5c039ddb734d6e92db59df9f1d8f0a736b14f572b2354a0bb780bbeef",
|
| 6 |
+
"reference": "DRIVE.pth",
|
| 7 |
+
"model": "UTNet",
|
| 8 |
+
"declaration_source": "sidecar",
|
| 9 |
+
"declaration": [
|
| 10 |
+
{
|
| 11 |
+
"file": "DRIVE.pth.config.json",
|
| 12 |
+
"sha256": "f4d60207370592353fdcdbcb0e94b318163beaec29eb8bdc924d48020df8ff28"
|
| 13 |
+
}
|
| 14 |
+
],
|
| 15 |
+
"float32_vs_float64": {
|
| 16 |
+
"shape": [
|
| 17 |
+
1,
|
| 18 |
+
3,
|
| 19 |
+
256,
|
| 20 |
+
256
|
| 21 |
+
],
|
| 22 |
+
"torch": "ok",
|
| 23 |
+
"float64": "ok",
|
| 24 |
+
"threads": 6,
|
| 25 |
+
"max_abs_diff": 6.127707961667284e-05,
|
| 26 |
+
"scale": 16.554437774255405,
|
| 27 |
+
"rel_diff": 3.701550028595217e-06,
|
| 28 |
+
"kernel_noise_rel": 4.3206319045138046e-06
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"graph": {
|
| 32 |
+
"kind": "onnx",
|
| 33 |
+
"file": "DRIVE.onnx",
|
| 34 |
+
"sha256": "190a7bce20036ced025306ad110ed6d6f9d57617fd545403fd2cfd1c7c41490a",
|
| 35 |
+
"bytes": 59044992,
|
| 36 |
+
"opset": 17,
|
| 37 |
+
"dynamic": true,
|
| 38 |
+
"reason": "dynamic_verified",
|
| 39 |
+
"input": "image",
|
| 40 |
+
"output": "logits",
|
| 41 |
+
"input_channel": 3,
|
| 42 |
+
"num_classes": 1,
|
| 43 |
+
"size": [
|
| 44 |
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256,
|
| 45 |
+
256
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
"exporter": {
|
| 49 |
+
"api": "torch.onnx.export",
|
| 50 |
+
"name": "torchscript",
|
| 51 |
+
"dynamo": false,
|
| 52 |
+
"registered_symbolics": {
|
| 53 |
+
"aten::_convolution_mode": 17,
|
| 54 |
+
"aten::add": 17,
|
| 55 |
+
"aten::roll": 17,
|
| 56 |
+
"aten::rsub": 17,
|
| 57 |
+
"aten::sub": 17,
|
| 58 |
+
"aten::upsample_nearest2d": 17
|
| 59 |
+
},
|
| 60 |
+
"producer": "pytorch 2.13.0",
|
| 61 |
+
"torch": "2.13.0+cpu",
|
| 62 |
+
"onnx": "1.22.0",
|
| 63 |
+
"onnxruntime": "1.29.0"
|
| 64 |
+
},
|
| 65 |
+
"verification_input": {
|
| 66 |
+
"kind": "smooth_random_field",
|
| 67 |
+
"distribution": "normal",
|
| 68 |
+
"coarse_factor": 16,
|
| 69 |
+
"min_coarse": 4,
|
| 70 |
+
"interpolation": "bilinear",
|
| 71 |
+
"align_corners": false,
|
| 72 |
+
"seed": 0,
|
| 73 |
+
"pixel_domain": "uint8-range smooth field through the declaration's intensity contract",
|
| 74 |
+
"pixel_mean": 127.5,
|
| 75 |
+
"pixel_std": 45.0,
|
| 76 |
+
"through_contract": true
|
| 77 |
+
},
|
| 78 |
+
"attempts": [
|
| 79 |
+
{
|
| 80 |
+
"mode": "dynamic",
|
| 81 |
+
"exporter": "torchscript",
|
| 82 |
+
"outcome": "kept",
|
| 83 |
+
"reason": null,
|
| 84 |
+
"error": null,
|
| 85 |
+
"verification": [
|
| 86 |
+
{
|
| 87 |
+
"shape": [
|
| 88 |
+
1,
|
| 89 |
+
3,
|
| 90 |
+
256,
|
| 91 |
+
256
|
| 92 |
+
],
|
| 93 |
+
"torch": "ok",
|
| 94 |
+
"graph": "ok",
|
| 95 |
+
"max_abs_diff": 4.887580871582031e-05,
|
| 96 |
+
"scale": 16.554424285888672,
|
| 97 |
+
"rel_diff": 2.9524318014177663e-06
|
| 98 |
+
},
|
| 99 |
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{
|
| 100 |
+
"shape": [
|
| 101 |
+
1,
|
| 102 |
+
3,
|
| 103 |
+
320,
|
| 104 |
+
320
|
| 105 |
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],
|
| 106 |
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"torch": "error",
|
| 107 |
+
"graph": "error",
|
| 108 |
+
"max_abs_diff": null,
|
| 109 |
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"scale": null,
|
| 110 |
+
"rel_diff": null,
|
| 111 |
+
"torch_error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072",
|
| 112 |
+
"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down4/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 256 by 400",
|
| 113 |
+
"error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"shape": [
|
| 117 |
+
1,
|
| 118 |
+
3,
|
| 119 |
+
224,
|
| 120 |
+
224
|
| 121 |
+
],
|
| 122 |
+
"torch": "error",
|
| 123 |
+
"graph": "error",
|
| 124 |
+
"max_abs_diff": null,
|
| 125 |
+
"scale": null,
|
| 126 |
+
"rel_diff": null,
|
| 127 |
+
"torch_error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456",
|
| 128 |
+
"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down3/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 576 by 784",
|
| 129 |
+
"error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456"
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"shape": [
|
| 133 |
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1,
|
| 134 |
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3,
|
| 135 |
+
512,
|
| 136 |
+
512
|
| 137 |
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],
|
| 138 |
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"torch": "ok",
|
| 139 |
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"graph": "ok",
|
| 140 |
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"max_abs_diff": 6.914138793945312e-05,
|
| 141 |
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"scale": 17.164287567138672,
|
| 142 |
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"rel_diff": 4.028211929507958e-06
|
| 143 |
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},
|
| 144 |
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{
|
| 145 |
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"shape": [
|
| 146 |
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2,
|
| 147 |
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3,
|
| 148 |
+
256,
|
| 149 |
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256
|
| 150 |
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],
|
| 151 |
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"torch": "ok",
|
| 152 |
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"graph": "ok",
|
| 153 |
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"max_abs_diff": 6.568431854248047e-05,
|
| 154 |
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"scale": 16.8492431640625,
|
| 155 |
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"rel_diff": 3.898354240775489e-06
|
| 156 |
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}
|
| 157 |
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]
|
| 158 |
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}
|
| 159 |
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],
|
| 160 |
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"verification": [
|
| 161 |
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{
|
| 162 |
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"shape": [
|
| 163 |
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1,
|
| 164 |
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3,
|
| 165 |
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256,
|
| 166 |
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256
|
| 167 |
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],
|
| 168 |
+
"torch": "ok",
|
| 169 |
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"graph": "ok",
|
| 170 |
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"max_abs_diff": 4.887580871582031e-05,
|
| 171 |
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"scale": 16.554424285888672,
|
| 172 |
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"rel_diff": 2.9524318014177663e-06
|
| 173 |
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},
|
| 174 |
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{
|
| 175 |
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"shape": [
|
| 176 |
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1,
|
| 177 |
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3,
|
| 178 |
+
320,
|
| 179 |
+
320
|
| 180 |
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],
|
| 181 |
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"torch": "error",
|
| 182 |
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"graph": "error",
|
| 183 |
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"max_abs_diff": null,
|
| 184 |
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"scale": null,
|
| 185 |
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"rel_diff": null,
|
| 186 |
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"torch_error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072",
|
| 187 |
+
"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down4/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 256 by 400",
|
| 188 |
+
"error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072"
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
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"shape": [
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| 194 |
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| 196 |
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| 197 |
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|
| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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"torch_error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456",
|
| 203 |
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"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down3/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 576 by 784",
|
| 204 |
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"error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456"
|
| 205 |
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|
| 206 |
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{
|
| 207 |
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"shape": [
|
| 208 |
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|
| 209 |
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|
| 210 |
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| 211 |
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|
| 212 |
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|
| 213 |
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"torch": "ok",
|
| 214 |
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| 215 |
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|
| 218 |
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| 219 |
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| 220 |
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| 221 |
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|
| 222 |
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| 223 |
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| 225 |
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| 232 |
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],
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| 233 |
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"exported_at": "2026-09-09T23:39:03+00:00",
|
| 234 |
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"release": {
|
| 235 |
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"repo": "MedOtter/UTNet",
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| 236 |
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"revision": "74d21c6386fa5cf279b2de521f2bf7dcd58af341",
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| 241 |
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|
| 243 |
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| 246 |
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| 247 |
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|
| 248 |
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"reproducible": true,
|
| 249 |
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|
| 250 |
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| 251 |
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|
| 252 |
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"size": [
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| 253 |
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| 254 |
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| 255 |
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|
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| 267 |
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|
| 269 |
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| 270 |
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| 271 |
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| 272 |
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|
| 273 |
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"size": [
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| 274 |
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| 276 |
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| 277 |
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|
| 278 |
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| 286 |
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|
| 288 |
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"samples": 4,
|
| 289 |
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"of": 4,
|
| 290 |
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"complete": true
|
| 291 |
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}
|
| 292 |
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}
|
| 293 |
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]
|
| 294 |
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},
|
| 295 |
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"tool": "tools/hf_onnx_export.py",
|
| 296 |
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"stamped_at": "2026-09-09T23:39:49+00:00"
|
| 297 |
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}
|
| 298 |
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}
|
KvasirSEG.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:fbd290eadd45b4df6a5d8a3eea266af444deb69c65c0b0eb15a000ee9b038e72
|
| 3 |
+
size 59044992
|
KvasirSEG.onnx.config.json
ADDED
|
@@ -0,0 +1,30 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
+
"schema": "medotter/model-sidecar/v1",
|
| 3 |
+
"model": {
|
| 4 |
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"graph": "onnx",
|
| 5 |
+
"args": {
|
| 6 |
+
"input_channel": 3,
|
| 7 |
+
"num_classes": 1
|
| 8 |
+
}
|
| 9 |
+
},
|
| 10 |
+
"inference": {
|
| 11 |
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"normalize": {
|
| 12 |
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"mean": [
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| 13 |
+
0.485,
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| 14 |
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0.456,
|
| 15 |
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| 16 |
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],
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| 17 |
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"std": [
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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]
|
| 22 |
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},
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| 23 |
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"scale": 255.0,
|
| 24 |
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"size": [
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| 25 |
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256,
|
| 26 |
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256
|
| 27 |
+
],
|
| 28 |
+
"threshold": 0.5
|
| 29 |
+
}
|
| 30 |
+
}
|
KvasirSEG.onnx.provenance.json
ADDED
|
@@ -0,0 +1,298 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"schema": "medotter/graph-provenance/v1",
|
| 3 |
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"source": {
|
| 4 |
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"file": "KvasirSEG.pth",
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| 5 |
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"sha256": "3fd4da2abaa6a34d163d29fe563a26605605a1289462e6426f8aec8f17069b91",
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| 6 |
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"reference": "KvasirSEG.pth",
|
| 7 |
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"model": "UTNet",
|
| 8 |
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"declaration_source": "sidecar",
|
| 9 |
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"declaration": [
|
| 10 |
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{
|
| 11 |
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"file": "KvasirSEG.pth.config.json",
|
| 12 |
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"sha256": "6c9651f588d7fa2e5825ab23b26bb235b12e40c4cdea039cdce16f49ede5f1e9"
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|
| 15 |
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"float32_vs_float64": {
|
| 16 |
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"shape": [
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| 17 |
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| 18 |
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| 20 |
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| 21 |
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| 22 |
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"torch": "ok",
|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 28 |
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"kernel_noise_rel": 3.756568762971566e-07
|
| 29 |
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}
|
| 30 |
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},
|
| 31 |
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"graph": {
|
| 32 |
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"kind": "onnx",
|
| 33 |
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"file": "KvasirSEG.onnx",
|
| 34 |
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"sha256": "fbd290eadd45b4df6a5d8a3eea266af444deb69c65c0b0eb15a000ee9b038e72",
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"bytes": 59044992,
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"opset": 17,
|
| 37 |
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"dynamic": true,
|
| 38 |
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"reason": "dynamic_verified",
|
| 39 |
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"input": "image",
|
| 40 |
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"output": "logits",
|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 47 |
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},
|
| 48 |
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"exporter": {
|
| 49 |
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"api": "torch.onnx.export",
|
| 50 |
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"name": "torchscript",
|
| 51 |
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"dynamo": false,
|
| 52 |
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"registered_symbolics": {
|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"aten::upsample_nearest2d": 17
|
| 59 |
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},
|
| 60 |
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"producer": "pytorch 2.13.0",
|
| 61 |
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"torch": "2.13.0+cpu",
|
| 62 |
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"onnx": "1.22.0",
|
| 63 |
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|
| 64 |
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},
|
| 65 |
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|
| 66 |
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"kind": "smooth_random_field",
|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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"seed": 0,
|
| 73 |
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|
| 74 |
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"pixel_mean": 127.5,
|
| 75 |
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"pixel_std": 45.0,
|
| 76 |
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|
| 77 |
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},
|
| 78 |
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"attempts": [
|
| 79 |
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{
|
| 80 |
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"mode": "dynamic",
|
| 81 |
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"exporter": "torchscript",
|
| 82 |
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"outcome": "kept",
|
| 83 |
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|
| 84 |
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|
| 85 |
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| 87 |
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|
| 90 |
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|
| 91 |
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],
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| 93 |
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"torch": "ok",
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| 94 |
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|
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|
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|
| 98 |
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},
|
| 99 |
+
{
|
| 100 |
+
"shape": [
|
| 101 |
+
1,
|
| 102 |
+
3,
|
| 103 |
+
320,
|
| 104 |
+
320
|
| 105 |
+
],
|
| 106 |
+
"torch": "error",
|
| 107 |
+
"graph": "error",
|
| 108 |
+
"max_abs_diff": null,
|
| 109 |
+
"scale": null,
|
| 110 |
+
"rel_diff": null,
|
| 111 |
+
"torch_error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072",
|
| 112 |
+
"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down4/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 256 by 400",
|
| 113 |
+
"error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072"
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"shape": [
|
| 117 |
+
1,
|
| 118 |
+
3,
|
| 119 |
+
224,
|
| 120 |
+
224
|
| 121 |
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],
|
| 122 |
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"torch": "error",
|
| 123 |
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"graph": "error",
|
| 124 |
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"max_abs_diff": null,
|
| 125 |
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"scale": null,
|
| 126 |
+
"rel_diff": null,
|
| 127 |
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"torch_error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456",
|
| 128 |
+
"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down3/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 576 by 784",
|
| 129 |
+
"error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456"
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"shape": [
|
| 133 |
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1,
|
| 134 |
+
3,
|
| 135 |
+
512,
|
| 136 |
+
512
|
| 137 |
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],
|
| 138 |
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"torch": "ok",
|
| 139 |
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"graph": "ok",
|
| 140 |
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"max_abs_diff": 1.239776611328125e-05,
|
| 141 |
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"scale": 22.65813446044922,
|
| 142 |
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"rel_diff": 5.471662344895208e-07
|
| 143 |
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},
|
| 144 |
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{
|
| 145 |
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"shape": [
|
| 146 |
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2,
|
| 147 |
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3,
|
| 148 |
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256,
|
| 149 |
+
256
|
| 150 |
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],
|
| 151 |
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"torch": "ok",
|
| 152 |
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"graph": "ok",
|
| 153 |
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"max_abs_diff": 1.1920928955078125e-05,
|
| 154 |
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"scale": 18.373859405517578,
|
| 155 |
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"rel_diff": 6.487983113388976e-07
|
| 156 |
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}
|
| 157 |
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]
|
| 158 |
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}
|
| 159 |
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],
|
| 160 |
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"verification": [
|
| 161 |
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{
|
| 162 |
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"shape": [
|
| 163 |
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1,
|
| 164 |
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3,
|
| 165 |
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256,
|
| 166 |
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256
|
| 167 |
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],
|
| 168 |
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"torch": "ok",
|
| 169 |
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"graph": "ok",
|
| 170 |
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"max_abs_diff": 6.556510925292969e-06,
|
| 171 |
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"scale": 17.77079200744629,
|
| 172 |
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"rel_diff": 3.689487177918502e-07
|
| 173 |
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},
|
| 174 |
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{
|
| 175 |
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"shape": [
|
| 176 |
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1,
|
| 177 |
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3,
|
| 178 |
+
320,
|
| 179 |
+
320
|
| 180 |
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],
|
| 181 |
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"torch": "error",
|
| 182 |
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"graph": "error",
|
| 183 |
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"max_abs_diff": null,
|
| 184 |
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"scale": null,
|
| 185 |
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"rel_diff": null,
|
| 186 |
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"torch_error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072",
|
| 187 |
+
"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down4/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 256 by 400",
|
| 188 |
+
"error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072"
|
| 189 |
+
},
|
| 190 |
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{
|
| 191 |
+
"shape": [
|
| 192 |
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1,
|
| 193 |
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3,
|
| 194 |
+
224,
|
| 195 |
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224
|
| 196 |
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],
|
| 197 |
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"torch": "error",
|
| 198 |
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"graph": "error",
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| 199 |
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"max_abs_diff": null,
|
| 200 |
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"scale": null,
|
| 201 |
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"rel_diff": null,
|
| 202 |
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"torch_error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456",
|
| 203 |
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"graph_error": "Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Add node. Name:'/inner/down3/blocks/blocks.2/attn/Add_1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/math/element_wise_ops.h:583 void onnxruntime::BroadcastIterator::Append(ptrdiff_t, ptrdiff_t) axis == 1 || axis == largest was false. Attempting to broadcast an axis by a dimension other than 1. 576 by 784",
|
| 204 |
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"error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456"
|
| 205 |
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},
|
| 206 |
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{
|
| 207 |
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"shape": [
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|
| 209 |
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3,
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| 210 |
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512,
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512
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| 212 |
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],
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| 213 |
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"torch": "ok",
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| 214 |
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"graph": "ok",
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| 215 |
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"max_abs_diff": 1.239776611328125e-05,
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"scale": 22.65813446044922,
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"rel_diff": 5.471662344895208e-07
|
| 218 |
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| 219 |
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{
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| 220 |
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"shape": [
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| 221 |
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|
| 222 |
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|
| 223 |
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| 224 |
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|
| 225 |
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],
|
| 226 |
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"torch": "ok",
|
| 227 |
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"graph": "ok",
|
| 228 |
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"max_abs_diff": 1.1920928955078125e-05,
|
| 229 |
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"scale": 18.373859405517578,
|
| 230 |
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"rel_diff": 6.487983113388976e-07
|
| 231 |
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}
|
| 232 |
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],
|
| 233 |
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"exported_at": "2026-09-09T23:39:07+00:00",
|
| 234 |
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"release": {
|
| 235 |
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"repo": "MedOtter/UTNet",
|
| 236 |
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"revision": "74d21c6386fa5cf279b2de521f2bf7dcd58af341",
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| 237 |
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"pth_file": "KvasirSEG.pth",
|
| 238 |
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"pth_sha256": "3fd4da2abaa6a34d163d29fe563a26605605a1289462e6426f8aec8f17069b91",
|
| 239 |
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"sidecar_sha256": "1445f651ec927f1196af8ad861bf4ef54128f23d2812ee825908fa7d98195fa6",
|
| 240 |
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"sidecar_source": "hub",
|
| 241 |
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"group": "checkout_only",
|
| 242 |
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"reason": "dynamic_verified",
|
| 243 |
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"dynamic_attempt": null,
|
| 244 |
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"reference_check": {
|
| 245 |
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"dataset": "KvasirSEG",
|
| 246 |
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"split": "val",
|
| 247 |
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"samples": 4,
|
| 248 |
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"reproducible": true,
|
| 249 |
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"status": "pass",
|
| 250 |
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"sizes": [
|
| 251 |
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{
|
| 252 |
+
"size": [
|
| 253 |
+
256,
|
| 254 |
+
256
|
| 255 |
+
],
|
| 256 |
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"predict_masks_equal": 4,
|
| 257 |
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"pixels": 262144,
|
| 258 |
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"disagreeing_pixels": 0,
|
| 259 |
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"unexplained_pixels": 0,
|
| 260 |
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"max_abs_diff": 2.47955322265625e-05,
|
| 261 |
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"scale": 33.615692138671875,
|
| 262 |
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"rel_diff": 7.376177805376031e-07,
|
| 263 |
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"float32_vs_float64": {
|
| 264 |
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"max_abs_diff": 3.281146080680308e-05,
|
| 265 |
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"scale": 33.615701121854215,
|
| 266 |
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"rel_diff": 9.76075456164492e-07,
|
| 267 |
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"samples": 4,
|
| 268 |
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"of": 4,
|
| 269 |
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"complete": true
|
| 270 |
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}
|
| 271 |
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},
|
| 272 |
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{
|
| 273 |
+
"size": [
|
| 274 |
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512,
|
| 275 |
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512
|
| 276 |
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],
|
| 277 |
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"predict_masks_equal": 4,
|
| 278 |
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"pixels": 1048576,
|
| 279 |
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"disagreeing_pixels": 0,
|
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"unexplained_pixels": 0,
|
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"max_abs_diff": 6.604194641113281e-05,
|
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"scale": 32.053775787353516,
|
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"rel_diff": 2.0603484235136183e-06,
|
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"float32_vs_float64": {
|
| 285 |
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"max_abs_diff": 4.9627616319103396e-05,
|
| 286 |
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"scale": 32.05376604388906,
|
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"rel_diff": 1.5482616379975957e-06,
|
| 288 |
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"samples": 4,
|
| 289 |
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"of": 4,
|
| 290 |
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"complete": true
|
| 291 |
+
}
|
| 292 |
+
}
|
| 293 |
+
]
|
| 294 |
+
},
|
| 295 |
+
"tool": "tools/hf_onnx_export.py",
|
| 296 |
+
"stamped_at": "2026-09-09T23:39:52+00:00"
|
| 297 |
+
}
|
| 298 |
+
}
|
UWaterlooSkinCancer.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:66b5393ceb11afba994effbeb33b023da91be27b0f4948c29bf028d25645c0f8
|
| 3 |
+
size 59044992
|
UWaterlooSkinCancer.onnx.config.json
ADDED
|
@@ -0,0 +1,30 @@
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|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema": "medotter/model-sidecar/v1",
|
| 3 |
+
"model": {
|
| 4 |
+
"graph": "onnx",
|
| 5 |
+
"args": {
|
| 6 |
+
"input_channel": 3,
|
| 7 |
+
"num_classes": 1
|
| 8 |
+
}
|
| 9 |
+
},
|
| 10 |
+
"inference": {
|
| 11 |
+
"normalize": {
|
| 12 |
+
"mean": [
|
| 13 |
+
0.485,
|
| 14 |
+
0.456,
|
| 15 |
+
0.406
|
| 16 |
+
],
|
| 17 |
+
"std": [
|
| 18 |
+
58.395,
|
| 19 |
+
57.12,
|
| 20 |
+
57.375
|
| 21 |
+
]
|
| 22 |
+
},
|
| 23 |
+
"scale": 255.0,
|
| 24 |
+
"size": [
|
| 25 |
+
256,
|
| 26 |
+
256
|
| 27 |
+
],
|
| 28 |
+
"threshold": 0.5
|
| 29 |
+
}
|
| 30 |
+
}
|
UWaterlooSkinCancer.onnx.provenance.json
ADDED
|
@@ -0,0 +1,298 @@
|
|
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|
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|
|
|
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|
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|
|
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