Files
pytorch/scripts/onnx/test.sh
Jane Xu a90a3acbee Use JIT Plug-in for coverage to cover JIT'd functions and methods (#56310)
Summary:
This PR is step 2 (after https://github.com/pytorch/pytorch/issues/56708) to having JIT coverage--it actually uses the plug-in in CI!

Disclaimer: note that this will mark the entire JIT'd function/method as covered without seeking proof that the
compiled code has been executed. This means that even if the code chunk is merely compiled and not run, it will get
marked as covered.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/56310

Test Plan:
We should see coverage improvements in CI after. A file to look out for would be `torch/jit/quantized.py`, which should have more coverage after this PR, which it does!
d3283ccd8c/torch/jit/quantized.py vs https://codecov.io/gh/pytorch/pytorch/src/master/torch/jit/quantized.py

More generally, the whole jit folder got ~3% increase in coverage, I believe.

Reviewed By: walterddr

Differential Revision: D28000672

Pulled By: janeyx99

fbshipit-source-id: 6712979d63a5e1224a92ee9bd9679ec62cf1cbba
2021-04-26 09:19:32 -07:00

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#!/bin/bash
set -ex
UNKNOWN=()
# defaults
PARALLEL=0
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
if [[ $PARALLEL == 1 ]]; then
pip install pytest-xdist
fi
pip install pytest scipy hypothesis # these may not be necessary
pip install pytest-cov # installing since `coverage run -m pytest ..` doesn't work
pip install -e tools/coverage_plugins_package # allows coverage to run w/o failing due to a missing plug-in
# realpath might not be available on MacOS
script_path=$(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")
if [[ $PARALLEL == 1 ]]; then
args+=("-n")
args+=("3")
fi
# These exclusions are for tests that take a long time / a lot of GPU
# memory to run; they should be passing (and you will test them if you
# run them locally
pytest "${args[@]}" \
--ignore "$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py" \
--ignore "$top_dir/test/onnx/test_custom_ops.py" \
--ignore "$top_dir/test/onnx/test_models_onnxruntime.py" \
--ignore "$top_dir/test/onnx/test_utility_funs.py" \
--ignore "$top_dir/test/onnx/test_pytorch_onnx_caffe2.py" \
--ignore "$top_dir/test/onnx/test_pytorch_onnx_shape_inference.py" \
--ignore "$top_dir/test/onnx/test_pytorch_onnx_onnxruntime_cuda.py" \
--ignore "$top_dir/test/onnx/test_pytorch_onnx_caffe2_quantized.py" \
"${test_paths[@]}"
# onnxruntime only support py3
# "Python.h" not found in py2, needed by TorchScript custom op compilation.
if [[ "$BUILD_ENVIRONMENT" == *ort_test1* ]]; then
pytest "${args[@]}" \
"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7" \
"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8" \
"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime" \
"$top_dir/test/onnx/test_custom_ops.py" \
"$top_dir/test/onnx/test_models_onnxruntime.py" \
"$top_dir/test/onnx/test_utility_funs.py" \
"$top_dir/test/onnx/test_pytorch_onnx_caffe2.py" \
"$top_dir/test/onnx/test_pytorch_onnx_caffe2_quantized.py"
fi
if [[ "$BUILD_ENVIRONMENT" == *ort_test2* ]]; then
# Update the loop for new opsets
for i in $(seq 10 13); do
pytest "${args[@]}" \
"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset$i"
done
fi
# Our CI expects both coverage.xml and .coverage to be within test/
mv .coverage test/.coverage