mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
37688148ae
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/67805 Also fix Reduce ops on binary_cross_entropy_with_logits The graph says the output is a scalar but with `keepdims=1` (the default), the output should be a tensor of rank 1. We set keep `keepdims=0` to make it clear that we want a scalar output. This previously went unnoticed because ONNX Runtime does not strictly enforce shape inference mismatches if the model is not using the latest opset version. Test Plan: Imported from OSS Reviewed By: msaroufim Differential Revision: D32181304 Pulled By: malfet fbshipit-source-id: 1462d8a313daae782013097ebf6341a4d1632e2c Co-authored-by: Bowen Bao <bowbao@microsoft.com>
93 lines
3.0 KiB
Bash
Executable File
93 lines
3.0 KiB
Bash
Executable File
#!/bin/bash
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set -ex
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UNKNOWN=()
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# defaults
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PARALLEL=0
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while [[ $# -gt 0 ]]
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do
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arg="$1"
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case $arg in
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-p|--parallel)
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PARALLEL=1
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shift # past argument
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;;
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*) # unknown option
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UNKNOWN+=("$1") # save it in an array for later
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shift # past argument
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;;
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esac
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done
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set -- "${UNKNOWN[@]}" # leave UNKNOWN
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if [[ $PARALLEL == 1 ]]; then
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pip install pytest-xdist
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fi
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pip install pytest scipy hypothesis # these may not be necessary
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pip install pytest-cov # installing since `coverage run -m pytest ..` doesn't work
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pip install -e tools/coverage_plugins_package # allows coverage to run w/o failing due to a missing plug-in
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# realpath might not be available on MacOS
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script_path=$(python -c "import os; import sys; print(os.path.realpath(sys.argv[1]))" "${BASH_SOURCE[0]}")
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top_dir=$(dirname $(dirname $(dirname "$script_path")))
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test_paths=(
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"$top_dir/test/onnx"
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)
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args=()
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args+=("-v")
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args+=("--cov")
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args+=("--cov-report")
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args+=("xml:test/coverage.xml")
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args+=("--cov-append")
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if [[ $PARALLEL == 1 ]]; then
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args+=("-n")
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args+=("3")
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fi
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# onnxruntime only support py3
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# "Python.h" not found in py2, needed by TorchScript custom op compilation.
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if [[ "$BUILD_ENVIRONMENT" == *ort_test1* || "${SHARD_NUMBER}" == "1" ]]; then
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# These exclusions are for tests that take a long time / a lot of GPU
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# memory to run; they should be passing (and you will test them if you
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# run them locally
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pytest "${args[@]}" \
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--ignore "$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py" \
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--ignore "$top_dir/test/onnx/test_custom_ops.py" \
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--ignore "$top_dir/test/onnx/test_models_onnxruntime.py" \
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--ignore "$top_dir/test/onnx/test_utility_funs.py" \
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--ignore "$top_dir/test/onnx/test_pytorch_onnx_caffe2.py" \
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--ignore "$top_dir/test/onnx/test_pytorch_onnx_shape_inference.py" \
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--ignore "$top_dir/test/onnx/test_pytorch_onnx_onnxruntime_cuda.py" \
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--ignore "$top_dir/test/onnx/test_pytorch_onnx_caffe2_quantized.py" \
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"${test_paths[@]}"
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pytest "${args[@]}" \
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"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset7" \
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"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset8" \
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"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime" \
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"$top_dir/test/onnx/test_custom_ops.py" \
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"$top_dir/test/onnx/test_models_onnxruntime.py" \
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"$top_dir/test/onnx/test_utility_funs.py" \
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"$top_dir/test/onnx/test_pytorch_onnx_caffe2.py" \
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"$top_dir/test/onnx/test_pytorch_onnx_caffe2_quantized.py" \
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"$top_dir/test/onnx/test_pytorch_onnx_shape_inference.py"
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fi
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if [[ "$BUILD_ENVIRONMENT" == *ort_test2* || "${SHARD_NUMBER}" == "2" ]]; then
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# Update the loop for new opsets
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for i in $(seq 10 15); do
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pytest "${args[@]}" \
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"$top_dir/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset$i"
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done
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fi
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# Our CI expects both coverage.xml and .coverage to be within test/
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if [ -d .coverage ]; then
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mv .coverage test/.coverage
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fi
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