We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Failer op in U-2-Net_vaiq_int8.default.onnx.torch.elide.mlir
There are 38 resize op failed in this model. The only difference is the inputs[0] tensor size. Here are 2 examples:
%762 = torch.operator "onnx.Resize"(%714, %none, %none, %761) {torch.onnx.coordinate_transformation_mode = "half_pixel", torch.onnx.cubic_coeff_a = -7.500000e-01 : f32, torch.onnx.mode = "linear", torch.onnx.nearest_mode = "floor"} : (!torch.vtensor<[1,32,10,10],f32>, !torch.none, !torch.none, !torch.vtensor<[4],si64>) -> !torch.vtensor<[?,?,?,?],f32>
%5094 = torch.operator "onnx.Resize"(%5046, %none, %none, %5093) {torch.onnx.coordinate_transformation_mode = "half_pixel", torch.onnx.cubic_coeff_a = -7.500000e-01 : f32, torch.onnx.mode = "linear", torch.onnx.nearest_mode = "floor"} : (!torch.vtensor<[1,256,40,40],f32>, !torch.none, !torch.none, !torch.vtensor<[4],si64>) -> !torch.vtensor<[?,?,?,?],f32>
The text was updated successfully, but these errors were encountered:
The 2 U-2 models failed again. https://github.com/nod-ai/e2eshark-reports/blob/main/2024-06-11/onnx_reports/statusreport.md @zjgarvey can you take a look at?
Sorry, something went wrong.
python ./run.py --torchmlirbuild ../../torch-mlir/build --tolerance 0.001 0.001 --cachedir ./huggingface_cache --ireebuild ../../iree-build -f onnx -g models --mode onnx --report --tests onnx/models/U-2-Net_vaiq_int8 --torchtolinalg Starting e2eshark tests. Using 4 processes Cache Directory: /home/chi/src/SHARK-TestSuite/e2eshark/huggingface_cache Tolerance for comparing floating point (atol, rtol) = (0.001, 0.001) Torch MLIR build: /home/chi/src/torch-mlir/build IREE build: /home/chi/src/iree-build Test run directory: /home/chi/src/SHARK-TestSuite/e2eshark/test-run Since --tests or --testsfile was specified, --groups ignored Framework:onnx mode=onnx backend=llvm-cpu runfrom=model-run runupto=inference Test list: ['onnx/models/U-2-Net_vaiq_int8'] Test onnx/models/U-2-Net_vaiq_int8 failed [inference] Generated status report /home/chi/src/SHARK-TestSuite/e2eshark/test-run/statusreport.md Generated time report /home/chi/src/SHARK-TestSuite/e2eshark/test-run/timereport.md Generated summary report /home/chi/src/SHARK-TestSuite/e2eshark/test-run/summaryreport.md Completed run of e2e shark tests
Status report for run: test-run using mode:onnx todtype:default backend:llvm-cpu | tests | model-run | onnx-import | torch-mlir | iree-compile | inference | |:------------------------------|:------------|:--------------|:-------------|:---------------|:------------| | onnx/models/U-2-Net_vaiq_int8 | passed | passed | passed | passed | failed |
Need to bump torch-mlir in iree
zjgarvey
No branches or pull requests
Failer op in U-2-Net_vaiq_int8.default.onnx.torch.elide.mlir
There are 38 resize op failed in this model. The only difference is the inputs[0] tensor size. Here are 2 examples:
%762 = torch.operator "onnx.Resize"(%714, %none, %none, %761) {torch.onnx.coordinate_transformation_mode = "half_pixel", torch.onnx.cubic_coeff_a = -7.500000e-01 : f32, torch.onnx.mode = "linear", torch.onnx.nearest_mode = "floor"} : (!torch.vtensor<[1,32,10,10],f32>, !torch.none, !torch.none, !torch.vtensor<[4],si64>) -> !torch.vtensor<[?,?,?,?],f32>
%5094 = torch.operator "onnx.Resize"(%5046, %none, %none, %5093) {torch.onnx.coordinate_transformation_mode = "half_pixel", torch.onnx.cubic_coeff_a = -7.500000e-01 : f32, torch.onnx.mode = "linear", torch.onnx.nearest_mode = "floor"} : (!torch.vtensor<[1,256,40,40],f32>, !torch.none, !torch.none, !torch.vtensor<[4],si64>) -> !torch.vtensor<[?,?,?,?],f32>
The text was updated successfully, but these errors were encountered: