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.github/workflows/ci-tests-fabric.yml

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@@ -166,10 +166,8 @@ jobs:
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# NOTE: do not include coverage report here, see: https://github.com/nedbat/coveragepy/issues/1003
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run: |
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echo $GITHUB_RUN_ID
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# adressing flaky: process 0 terminated with signal SIGABRT
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python -m coverage run --source ${{ env.COVERAGE_SCOPE }} \
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-m pytest -v --timeout=30 --durations=50 --random-order-seed=$GITHUB_RUN_ID \
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--reruns=3 --rerun-except="torch.multiprocessing.spawn.ProcessExitedException" \
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--junitxml=junit.xml -o junit_family=legacy # NOTE: for Codecov's test results
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- name: Statistics

.github/workflows/ci-tests-pytorch.yml

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# NOTE: do not include coverage report here, see: https://github.com/nedbat/coveragepy/issues/1003
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run: |
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echo $GITHUB_RUN_ID
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# adressing flaky: process 0 terminated with signal SIGABRT
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python -m coverage run --source ${{ env.COVERAGE_SCOPE }} \
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-m pytest . -v --timeout=60 --durations=50 --random-order-seed=$GITHUB_RUN_ID \
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--reruns=3 --rerun-except="torch.multiprocessing.spawn.ProcessExitedException" \
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--junitxml=junit.xml -o junit_family=legacy # NOTE: for Codecov's test results
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- name: Statistics

tests/tests_pytorch/callbacks/test_stochastic_weight_avg.py

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@@ -354,6 +354,8 @@ def test_swa_resume_training_from_checkpoint_custom_scheduler(tmp_path, crash_on
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@RunIf(skip_windows=True)
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# flaky with "process 0 terminated with signal SIGABRT" (GLOO)
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@pytest.mark.flaky(reruns=3, only_rerun="torch.multiprocessing.spawn.ProcessExitedException")
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def test_swa_resume_training_from_checkpoint_ddp(tmp_path):
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model = SwaTestModel(crash_on_epoch=3)
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resume_model = SwaTestModel()

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