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, ISIC2018.onnx, ISIC2018.onnx.config.json, ISIC2018.onnx.provenance.json, PROMISE12.onnx, PROMISE12.onnx.config.json, PROMISE12.onnx.provenance.json (tools/hf_onnx_export.py)
Browse files- ACDC.onnx +3 -0
- ACDC.onnx.config.json +16 -0
- ACDC.onnx.provenance.json +286 -0
- BUSI.onnx +3 -0
- BUSI.onnx.config.json +30 -0
- BUSI.onnx.provenance.json +286 -0
- COVIDQUEx.onnx +3 -0
- COVIDQUEx.onnx.config.json +30 -0
- COVIDQUEx.onnx.provenance.json +286 -0
- ISIC2018.onnx +3 -0
- ISIC2018.onnx.config.json +30 -0
- ISIC2018.onnx.provenance.json +286 -0
- PROMISE12.onnx +3 -0
- PROMISE12.onnx.config.json +30 -0
- PROMISE12.onnx.provenance.json +286 -0
ACDC.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:eac605c98537d1fa4d30e296048e9a18501e7ab5cdf00f1cbb580aa0ef1e75cd
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size 59045388
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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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| 5 |
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"args": {
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| 6 |
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"input_channel": 3,
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| 7 |
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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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| 14 |
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]
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}
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}
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ACDC.onnx.provenance.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"schema": "medotter/graph-provenance/v1",
|
| 3 |
+
"source": {
|
| 4 |
+
"file": "ACDC.pth",
|
| 5 |
+
"sha256": "4d2eaeeab4e781b2651fb1b7e3aa57d4f8483f2b6ba9807d8612adfc8de4c433",
|
| 6 |
+
"reference": "ACDC.pth",
|
| 7 |
+
"model": "UTNet",
|
| 8 |
+
"declaration_source": "sidecar",
|
| 9 |
+
"declaration": [
|
| 10 |
+
{
|
| 11 |
+
"file": "ACDC.pth.config.json",
|
| 12 |
+
"sha256": "b6dd52cedf08896a8558ce4a9ac57313f83cd6f626c40e7debb5dd1ec3f8017f"
|
| 13 |
+
}
|
| 14 |
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],
|
| 15 |
+
"float32_vs_float64": {
|
| 16 |
+
"shape": [
|
| 17 |
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1,
|
| 18 |
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3,
|
| 19 |
+
256,
|
| 20 |
+
256
|
| 21 |
+
],
|
| 22 |
+
"torch": "ok",
|
| 23 |
+
"float64": "ok",
|
| 24 |
+
"threads": 6,
|
| 25 |
+
"max_abs_diff": 2.869148163764379e-05,
|
| 26 |
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"scale": 11.003749033100942,
|
| 27 |
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"rel_diff": 2.607427845849217e-06
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"graph": {
|
| 31 |
+
"kind": "onnx",
|
| 32 |
+
"file": "ACDC.onnx",
|
| 33 |
+
"sha256": "eac605c98537d1fa4d30e296048e9a18501e7ab5cdf00f1cbb580aa0ef1e75cd",
|
| 34 |
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"bytes": 59045388,
|
| 35 |
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"opset": 17,
|
| 36 |
+
"dynamic": true,
|
| 37 |
+
"reason": "dynamic_verified",
|
| 38 |
+
"input": "image",
|
| 39 |
+
"output": "logits",
|
| 40 |
+
"input_channel": 3,
|
| 41 |
+
"num_classes": 4,
|
| 42 |
+
"size": [
|
| 43 |
+
256,
|
| 44 |
+
256
|
| 45 |
+
]
|
| 46 |
+
},
|
| 47 |
+
"exporter": {
|
| 48 |
+
"api": "torch.onnx.export",
|
| 49 |
+
"name": "torchscript",
|
| 50 |
+
"dynamo": false,
|
| 51 |
+
"registered_symbolics": {
|
| 52 |
+
"aten::roll": 17
|
| 53 |
+
},
|
| 54 |
+
"producer": "pytorch 2.13.0",
|
| 55 |
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"torch": "2.13.0+cpu",
|
| 56 |
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"onnx": "1.22.0",
|
| 57 |
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"onnxruntime": "1.29.0"
|
| 58 |
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},
|
| 59 |
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"verification_input": {
|
| 60 |
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"kind": "smooth_random_field",
|
| 61 |
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"distribution": "normal",
|
| 62 |
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"coarse_factor": 16,
|
| 63 |
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"min_coarse": 4,
|
| 64 |
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"interpolation": "bilinear",
|
| 65 |
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"align_corners": false,
|
| 66 |
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"seed": 0
|
| 67 |
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},
|
| 68 |
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"attempts": [
|
| 69 |
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{
|
| 70 |
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"mode": "dynamic",
|
| 71 |
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"exporter": "torchscript",
|
| 72 |
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"outcome": "kept",
|
| 73 |
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"reason": null,
|
| 74 |
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"error": null,
|
| 75 |
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"verification": [
|
| 76 |
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{
|
| 77 |
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"shape": [
|
| 78 |
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1,
|
| 79 |
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3,
|
| 80 |
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256,
|
| 81 |
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256
|
| 82 |
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],
|
| 83 |
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"torch": "ok",
|
| 84 |
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"graph": "ok",
|
| 85 |
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"max_abs_diff": 3.5762786865234375e-05,
|
| 86 |
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"scale": 11.003746032714844,
|
| 87 |
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"rel_diff": 3.2500556409525733e-06
|
| 88 |
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},
|
| 89 |
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{
|
| 90 |
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"shape": [
|
| 91 |
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1,
|
| 92 |
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3,
|
| 93 |
+
320,
|
| 94 |
+
320
|
| 95 |
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],
|
| 96 |
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"torch": "error",
|
| 97 |
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"graph": "error",
|
| 98 |
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"max_abs_diff": null,
|
| 99 |
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"scale": null,
|
| 100 |
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"rel_diff": null,
|
| 101 |
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"torch_error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072",
|
| 102 |
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"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",
|
| 103 |
+
"error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072"
|
| 104 |
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},
|
| 105 |
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{
|
| 106 |
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"shape": [
|
| 107 |
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1,
|
| 108 |
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3,
|
| 109 |
+
224,
|
| 110 |
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224
|
| 111 |
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],
|
| 112 |
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"torch": "error",
|
| 113 |
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"graph": "error",
|
| 114 |
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"max_abs_diff": null,
|
| 115 |
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"scale": null,
|
| 116 |
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"rel_diff": null,
|
| 117 |
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"torch_error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456",
|
| 118 |
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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",
|
| 119 |
+
"error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456"
|
| 120 |
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},
|
| 121 |
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{
|
| 122 |
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"shape": [
|
| 123 |
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1,
|
| 124 |
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3,
|
| 125 |
+
512,
|
| 126 |
+
512
|
| 127 |
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],
|
| 128 |
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"torch": "ok",
|
| 129 |
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"graph": "ok",
|
| 130 |
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"max_abs_diff": 2.574920654296875e-05,
|
| 131 |
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"scale": 11.290755271911621,
|
| 132 |
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"rel_diff": 2.2805566078494225e-06
|
| 133 |
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},
|
| 134 |
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{
|
| 135 |
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"shape": [
|
| 136 |
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2,
|
| 137 |
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3,
|
| 138 |
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256,
|
| 139 |
+
256
|
| 140 |
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],
|
| 141 |
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"torch": "ok",
|
| 142 |
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"graph": "ok",
|
| 143 |
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"max_abs_diff": 3.5762786865234375e-05,
|
| 144 |
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"scale": 11.366098403930664,
|
| 145 |
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"rel_diff": 3.146443537112679e-06
|
| 146 |
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}
|
| 147 |
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]
|
| 148 |
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}
|
| 149 |
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],
|
| 150 |
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"verification": [
|
| 151 |
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{
|
| 152 |
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"shape": [
|
| 153 |
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1,
|
| 154 |
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3,
|
| 155 |
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256,
|
| 156 |
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256
|
| 157 |
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],
|
| 158 |
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"torch": "ok",
|
| 159 |
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"graph": "ok",
|
| 160 |
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"max_abs_diff": 3.5762786865234375e-05,
|
| 161 |
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"scale": 11.003746032714844,
|
| 162 |
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"rel_diff": 3.2500556409525733e-06
|
| 163 |
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},
|
| 164 |
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{
|
| 165 |
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"shape": [
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| 166 |
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1,
|
| 167 |
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3,
|
| 168 |
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320,
|
| 169 |
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320
|
| 170 |
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],
|
| 171 |
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"torch": "error",
|
| 172 |
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"graph": "error",
|
| 173 |
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"max_abs_diff": null,
|
| 174 |
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"scale": null,
|
| 175 |
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"rel_diff": null,
|
| 176 |
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"torch_error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072",
|
| 177 |
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"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",
|
| 178 |
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"error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072"
|
| 179 |
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},
|
| 180 |
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{
|
| 181 |
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"shape": [
|
| 182 |
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1,
|
| 183 |
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3,
|
| 184 |
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224,
|
| 185 |
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224
|
| 186 |
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],
|
| 187 |
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"torch": "error",
|
| 188 |
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"graph": "error",
|
| 189 |
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"max_abs_diff": null,
|
| 190 |
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"scale": null,
|
| 191 |
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"rel_diff": null,
|
| 192 |
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"torch_error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456",
|
| 193 |
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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",
|
| 194 |
+
"error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456"
|
| 195 |
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},
|
| 196 |
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{
|
| 197 |
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"shape": [
|
| 198 |
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1,
|
| 199 |
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3,
|
| 200 |
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512,
|
| 201 |
+
512
|
| 202 |
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],
|
| 203 |
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"torch": "ok",
|
| 204 |
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"graph": "ok",
|
| 205 |
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| 224 |
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| 283 |
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|
| 284 |
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| 285 |
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| 286 |
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|
BUSI.onnx
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5694690d3346749849f132854147ce8ce8990d213a4d9387cf60ab0db457e7f
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| 3 |
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size 59044992
|
BUSI.onnx.config.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
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{
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| 2 |
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"schema": "medotter/model-sidecar/v1",
|
| 3 |
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| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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| 24 |
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| 28 |
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| 29 |
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| 30 |
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|
BUSI.onnx.provenance.json
ADDED
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|
| 1 |
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{
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"schema": "medotter/graph-provenance/v1",
|
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"sha256": "90221ee916533696bc501992ee96dc23ce89b0319f774518fa842c4d0af29ae1",
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"reference": "BUSI.pth",
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"declaration": [
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|
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| 30 |
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"graph": {
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| 48 |
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],
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| 285 |
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| 286 |
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|
COVIDQUEx.onnx
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:191dfbbefc57408a282e86f7dc9203fcbeeb4238d0bc6bdc27c76eb4ba97d71c
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| 3 |
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size 59044992
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COVIDQUEx.onnx.config.json
ADDED
|
@@ -0,0 +1,30 @@
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|
|
| 1 |
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{
|
| 2 |
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"schema": "medotter/model-sidecar/v1",
|
| 3 |
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"model": {
|
| 4 |
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"graph": "onnx",
|
| 5 |
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"args": {
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| 6 |
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"input_channel": 3,
|
| 7 |
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"num_classes": 1
|
| 8 |
+
}
|
| 9 |
+
},
|
| 10 |
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"inference": {
|
| 11 |
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"normalize": {
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|
| 24 |
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| 28 |
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"threshold": 0.5
|
| 29 |
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}
|
| 30 |
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}
|
COVIDQUEx.onnx.provenance.json
ADDED
|
@@ -0,0 +1,286 @@
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|
| 1 |
+
{
|
| 2 |
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"schema": "medotter/graph-provenance/v1",
|
| 3 |
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"source": {
|
| 4 |
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"file": "COVIDQUEx.pth",
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"sha256": "62ae936b64769e5be9641ad8a84ac0dacd21b4bb2ba0c7e503667fdf076d5ed5",
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"reference": "COVIDQUEx.pth",
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| 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": "COVIDQUEx.pth.config.json",
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| 12 |
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"sha256": "6818951c719851ef7d192e60e792dcffd3e9df7fef32fe4624d08ef6e3fcc60a"
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"float32_vs_float64": {
|
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| 22 |
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"torch": "ok",
|
| 23 |
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"float64": "ok",
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| 24 |
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"threads": 6,
|
| 25 |
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"max_abs_diff": 0.0456541706448661,
|
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"scale": 2874.5217577932603,
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"rel_diff": 1.588235348057143e-05
|
| 28 |
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}
|
| 29 |
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},
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| 30 |
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"graph": {
|
| 31 |
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"kind": "onnx",
|
| 32 |
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"file": "COVIDQUEx.onnx",
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"sha256": "191dfbbefc57408a282e86f7dc9203fcbeeb4238d0bc6bdc27c76eb4ba97d71c",
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"bytes": 59044992,
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"opset": 17,
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"dynamic": true,
|
| 37 |
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"reason": "dynamic_verified",
|
| 38 |
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"input": "image",
|
| 39 |
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"output": "logits",
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| 40 |
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"input_channel": 3,
|
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"exporter": {
|
| 48 |
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"api": "torch.onnx.export",
|
| 49 |
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"name": "torchscript",
|
| 50 |
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"error": "RuntimeError: shape '[784, 64, 4]' is invalid for input of size 147456"
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"error": "RuntimeError: shape '[400, 64, 8]' is invalid for input of size 131072"
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| 285 |
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}
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|
ISIC2018.onnx
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b1a3c4c6dae6c0f8aa8752d9edbfdfd1aca5afe0505700d3d3c0c3faad75286
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| 3 |
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size 59044992
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ISIC2018.onnx.config.json
ADDED
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@@ -0,0 +1,30 @@
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|
| 1 |
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{
|
| 2 |
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"schema": "medotter/model-sidecar/v1",
|
| 3 |
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"model": {
|
| 4 |
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"graph": "onnx",
|
| 5 |
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"args": {
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| 6 |
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"input_channel": 3,
|
| 7 |
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"num_classes": 1
|
| 8 |
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}
|
| 9 |
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},
|
| 10 |
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"inference": {
|
| 11 |
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"normalize": {
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| 12 |
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"mean": [
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"std": [
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|
| 22 |
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| 23 |
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"scale": 255.0,
|
| 24 |
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"size": [
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| 28 |
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"threshold": 0.5
|
| 29 |
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}
|
| 30 |
+
}
|
ISIC2018.onnx.provenance.json
ADDED
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@@ -0,0 +1,286 @@
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PROMISE12.onnx
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size 59044992
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PROMISE12.onnx.config.json
ADDED
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{
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PROMISE12.onnx.provenance.json
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},
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| 283 |
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}
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}
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