pytorch/scripts/onnx/test.sh
BowenBao 3da4cea658 [ONNX] Add dim_param support in export with onnx shape inference (#44920)
Summary:
* Support propagating `dim_param` in ONNX by encoding as `ShapeSymbol` in `SymbolicShape` of outputs. If export is called with `dynamic_axes` provided, shape inference will start with these axes set as dynamic.
* Add new test file `test_pytorch_onnx_shape_inference.py`, reusing all test cases from `test_pytorch_onnx_onnxruntime.py`, but focus on validating shape for all nodes in graph. Currently this is not enabled in the CI, since there are still quite some existing issues and corner cases to fix. The test is default to run only at opset 12.
* Bug fixes, such as div, _len, and peephole.cpp passes for PackPadded, and LogSoftmaxCrossEntropy.
* This PR depends on existing PR such as 44332.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/44920

Reviewed By: eellison

Differential Revision: D23958398

Pulled By: bzinodev

fbshipit-source-id: 00479d9bd19c867d526769a15ba97ec16d56e51d
2020-09-30 21:56:24 -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
pip install pytest scipy hypothesis
if [[ $PARALLEL == 1 ]]; then
pip install pytest-xdist
fi
# realpath might not be available on MacOS
script_path=$(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")
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" \
"${test_paths[@]}"
# onnxruntime only support py3
# "Python.h" not found in py2, needed by TorchScript custom op compilation.
if [[ "$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" \
"$top_dir/test/onnx/test_utility_funs.py"
fi
if [[ "$BUILD_ENVIRONMENT" == *ort_test2* ]]; then
# Update the loop for new opsets
for i in $(seq 10 12); do
pytest "${args[@]}" \
"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset$i"
done
pytest "${args[@]}" \
"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12_onnx_shape_inference"
fi