41 lines
2.0 KiB
Bash
41 lines
2.0 KiB
Bash
#!/bin/bash
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# Copyright The Lightning AI 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 FILE ASSUMES IT IS RUN INSIDE THE tests/tests_pytorch DIRECTORY
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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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can_run_nvprof=$(python -c "import torch; print(torch.cuda.is_available() and torch.cuda.get_device_capability()[0] < 8)")
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if [[ $can_run_nvprof == "True" ]]; then
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echo "Running profilers/test_profiler.py::test_pytorch_profiler_nested_emit_nvtx"
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nvprof --profile-from-start off -o trace_name.prof -- python -m coverage run --source lightning.pytorch --append -m pytest --no-header profilers/test_profiler.py::test_pytorch_profiler_nested_emit_nvtx
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fi
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# test that a user can manually launch individual processes
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echo "Running manual ddp launch test"
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export PYTHONPATH="${PYTHONPATH}:$(pwd)"
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args="fit --trainer.accelerator gpu --trainer.devices 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 strategies/scripts/cli_script.py ${args} &
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MASTER_ADDR="localhost" MASTER_PORT=1234 LOCAL_RANK=0 python strategies/scripts/cli_script.py ${args}
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# test that ddp can launched as a module (-m option)
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echo "Running ddp example as module"
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python -m strategies.scripts.cli_script ${args}
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# test that `python -O` (optimized mode) works
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echo "Running bug report model with 'python -O'"
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python -O ../../examples/pytorch/bug_report/bug_report_model.py
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