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Updated PyTorch ONNX exporter (markdown)

Justin Chu
2022-05-25 09:23:46 -07:00
parent 41e9d69431
commit 441f0245a7
1 changed files with 3 additions and 3 deletions
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PyTorch-ONNX-exporter.md

@ -253,9 +253,9 @@ For example:
```sh
# run test for opset 11
python test/onnx/test_pytorch_onnx_onnxruntime.py TestONNXRuntime_opset11.test_arithmetic_prim_bool
python -m pytest test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmetic_prim_bool
# run test for opset 9
python test/onnx/test_pytorch_onnx_onnxruntime.py TestONNXRuntime_opset9.test_arithmetic_prim_bool
python -m pytest test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset9::test_arithmetic_prim_bool
```
An example of adding unit tests for a new symbolic function: [Add binary_cross_entropy_with_logits op](https://github.com/pytorch/pytorch/pull/49675)
@ -263,7 +263,7 @@ An example of adding unit tests for a new symbolic function: [Add binary_cross_e
You can use `pytest` to run tests in parallel and generate a coverage report.
```sh
pytest -n auto --cov --cov-report "xml:test/coverage.xml" test/onnx/test_pytorch_onnx_onnxruntime.py
python -m pytest -n auto --cov --cov-report "xml:test/coverage.xml" test/onnx/test_pytorch_onnx_onnxruntime.py
```
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