87 lines
3.5 KiB
Bash
Executable File
87 lines
3.5 KiB
Bash
Executable File
#!/bin/bash
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# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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set -e
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# this environment variable allows special tests to run
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export PL_RUN_STANDALONE_TESTS=1
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# python arguments
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defaults='-m coverage run --source pytorch_lightning --append -m pytest --capture=no'
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# find tests marked as `@RunIf(standalone=True)`. done manually instead of with pytest because it is faster
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grep_output=$(grep --recursive --word-regexp 'tests' --regexp 'standalone=True' --include '*.py' --exclude 'tests/conftest.py')
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# file paths, remove duplicates
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files=$(echo "$grep_output" | cut -f1 -d: | sort | uniq)
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# get the list of parametrizations. we need to call them separately. the last two lines are removed.
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# note: if there's a syntax error, this will fail with some garbled output
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if [[ "$OSTYPE" == "darwin"* ]]; then
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parametrizations=$(pytest $files --collect-only --quiet "$@" | tail -r | sed -e '1,3d' | tail -r)
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else
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parametrizations=$(pytest $files --collect-only --quiet "$@" | head -n -2)
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fi
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parametrizations_arr=($parametrizations)
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# tests to skip - space separated
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blocklist='tests/profiler/test_profiler.py::test_pytorch_profiler_nested_emit_nvtx'
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report=''
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for i in "${!parametrizations_arr[@]}"; do
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parametrization=${parametrizations_arr[$i]}
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# check blocklist
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if echo $blocklist | grep -F "${parametrization}"; then
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report+="Skipped\t$parametrization\n"
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continue
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fi
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# run the test
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echo "Running ${parametrization}"
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python ${defaults} "${parametrization}"
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report+="Ran\t$parametrization\n"
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done
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if nvcc --version; then
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nvprof --profile-from-start off -o trace_name.prof -- python ${defaults} tests/profiler/test_profiler.py::test_pytorch_profiler_nested_emit_nvtx
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fi
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# needs to run outside of `pytest`
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python tests/utilities/test_warnings.py
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if [ $? -eq 0 ]; then
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report+="Ran\ttests/utilities/test_warnings.py\n"
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fi
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# TODO: enable when CI uses torch>=1.9
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# test deadlock is properly handled with TorchElastic.
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# LOGS=$(PL_RUN_STANDALONE_TESTS=1 PL_RECONCILE_PROCESS=1 python -m torch.distributed.run --nproc_per_node=2 --max_restarts 0 -m coverage run --source pytorch_lightning -a tests/plugins/environments/torch_elastic_deadlock.py | grep "SUCCEEDED")
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# if [ -z "$LOGS" ]; then
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# exit 1
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# fi
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# report+="Ran\ttests/plugins/environments/torch_elastic_deadlock.py\n"
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# test that a user can manually launch individual processes
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export PYTHONPATH="${PYTHONPATH}:$(pwd)"
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args="--trainer.gpus 2 --trainer.strategy ddp --trainer.max_epochs=1 --trainer.limit_train_batches=1 --trainer.limit_val_batches=1 --trainer.limit_test_batches=1"
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MASTER_ADDR="localhost" MASTER_PORT=1234 LOCAL_RANK=1 python pl_examples/basic_examples/mnist_examples/image_classifier_5_lightning_datamodule.py ${args} &
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MASTER_ADDR="localhost" MASTER_PORT=1234 LOCAL_RANK=0 python pl_examples/basic_examples/mnist_examples/image_classifier_5_lightning_datamodule.py ${args}
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report+="Ran\tmanual ddp launch test\n"
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# echo test report
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printf '=%.s' {1..80}
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printf "\n$report"
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printf '=%.s' {1..80}
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printf '\n'
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