pytorch/scripts/onnx/test.sh
BowenBao d41aa448b8 [ONNX] Run ONNX tests as part of standard run_test script (#99215)
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### <samp>🤖 Generated by Copilot at dcbf7e2</samp>

### Summary
📝🧹🚩

<!--
1.  📝 for simplifying the `./scripts/onnx/test.sh` script
2.  🧹 for refactoring the `test/onnx/dynamo/test_exporter_api.py` file
3.  🚩 for adding the `--onnx` flag to `test/run_test.py` and updating the `TESTS` list
-->
This pull request improves the ONNX testing infrastructure in PyTorch by refactoring the test code, normalizing the scope names, adding a flag to run only the ONNX tests, and simplifying the test script.

> _To export PyTorch models to ONNX_
> _We refactored some scripts and contexts_
> _We used `common_utils`_
> _And normalized the scopes_
> _And added a flag to run the tests_

### Walkthrough
*  Simplify `./scripts/onnx/test.sh` to use `run_test.py` with `--onnx` flag instead of `pytest` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-0017f5b22ae1329acb0f54af8d9811c9b6180a72dac70d7a5b89d7c23c958198L44-R46))
*  Remove `onnx` test from `TESTS` list in `test/run_test.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-e72503c9e3e8766e2d1bacf3fad7b88aa166e0e90a7e103e7df99357a35df8d7L127-R127)). Replace with `onnx_caffe2`.
*  Add `onnx/test_pytorch_onnx_onnxruntime_cuda` and `onnx/test_models` tests to `blocklisted_tests` list in `test/run_test.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-e72503c9e3e8766e2d1bacf3fad7b88aa166e0e90a7e103e7df99357a35df8d7R154-R155))
*  Add `ONNX_SERIAL_LIST` list to `test/run_test.py` to specify ONNX tests that must run serially ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-e72503c9e3e8766e2d1bacf3fad7b88aa166e0e90a7e103e7df99357a35df8d7R296-R301))
*  Add `ONNX_TESTS` list to `test/run_test.py` to store all ONNX tests ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-e72503c9e3e8766e2d1bacf3fad7b88aa166e0e90a7e103e7df99357a35df8d7R370))
*  Add `--onnx` flag to `parse_args` function in `test/run_test.py` to run only ONNX tests ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-e72503c9e3e8766e2d1bacf3fad7b88aa166e0e90a7e103e7df99357a35df8d7R920-R928))
*  Include `ONNX_SERIAL_LIST` in `must_serial` function in `test/run_test.py` to run ONNX tests serially or parallelly based on memory usage ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-e72503c9e3e8766e2d1bacf3fad7b88aa166e0e90a7e103e7df99357a35df8d7R1120))
*  Filter selected tests based on `--onnx` flag in `get_selected_tests` function in `test/run_test.py` to exclude non-ONNX tests ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-e72503c9e3e8766e2d1bacf3fad7b88aa166e0e90a7e103e7df99357a35df8d7R1158-R1165))

### Other minor changes to accommodate this change
*  Replace `unittest` module with `common_utils.TestCase` in `test/onnx/dynamo/test_exporter_api.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L4), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L29-R28), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L71-R70), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L147-R146))
*  Import `TemporaryFileName` class from `common_utils` in `test/onnx/dynamo/test_exporter_api.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L19-R18))
*  Use `common_utils.TemporaryFileName` instead of `TemporaryFileName` in `TestDynamoExportAPI` class in `test/onnx/dynamo/test_exporter_api.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L92-R91), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L110-R109), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L129-R128))
*  Use `common_utils.run_tests` instead of `unittest.main` in `test/onnx/dynamo/test_exporter_api.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-4545f0c15c73ebe90a875e9bee6c5ca4b6b92fb1ed0ec5560d1568e0f6339d02L155-R154))
*  Add `re` module to `test/onnx/test_utility_funs.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7R6))
*  Add `_remove_test_environment_prefix_from_scope_name` function to `test/onnx/test_utility_funs.py` to normalize scope names of ONNX nodes ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7R32-R58))
*  Use `_remove_test_environment_prefix_from_scope_name` function to compare scope names of ONNX nodes in `TestUtilityFuns` class in `test/onnx/test_utility_funs.py` ([link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7L1099-R1133), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7L1119-R1152), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7L1170-R1188), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7L1181-R1199), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7L1220-R1239), [link](https://github.com/pytorch/pytorch/pull/99215/files?diff=unified&w=0#diff-da71d2c81c9dc7ac0c47ff086fded82e4edcb67ba0cd3d8b5c983d7467343bc7L1235-R1258))

Fixes #98626

Pull Request resolved: https://github.com/pytorch/pytorch/pull/99215
Approved by: https://github.com/huydhn, https://github.com/titaiwangms
2023-04-19 06:17:47 +00:00

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#!/bin/bash
set -ex
UNKNOWN=()
# defaults
PARALLEL=1
export TORCH_ONNX_EXPERIMENTAL_RUNTIME_TYPE_CHECK=ERRORS
while [[ $# -gt 0 ]]
do
arg="$1"
case $arg in
-p|--parallel)
PARALLEL=1
shift # past argument
;;
*) # unknown option
UNKNOWN+=("$1") # save it in an array for later
shift # past argument
;;
esac
done
set -- "${UNKNOWN[@]}" # leave UNKNOWN
# allows coverage to run w/o failing due to a missing plug-in
pip install -e tools/coverage_plugins_package
# realpath might not be available on MacOS
script_path=$(python -c "import os; import sys; print(os.path.realpath(sys.argv[1]))" "${BASH_SOURCE[0]}")
top_dir=$(dirname $(dirname $(dirname "$script_path")))
test_paths=(
"$top_dir/test/onnx"
)
args=()
args+=("-v")
args+=("--cov")
args+=("--cov-report")
args+=("xml:test/coverage.xml")
args+=("--cov-append")
time python "${top_dir}/test/run_test.py" --onnx --shard "$SHARD_NUMBER" 2 --verbose
if [[ "$SHARD_NUMBER" == "2" ]]; then
# xdoctests on onnx
xdoctest torch.onnx --style=google --options="+IGNORE_WHITESPACE"
fi
# Our CI expects both coverage.xml and .coverage to be within test/
if [ -d .coverage ]; then
mv .coverage test/.coverage
fi