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[CI] Comment flaky tests #10084

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merged 10 commits into from
Oct 25, 2021
Merged

[CI] Comment flaky tests #10084

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057e85d
update
tchaton Oct 22, 2021
d595588
update
tchaton Oct 22, 2021
bbca7e9
remove random order
tchaton Oct 22, 2021
57f0876
update
tchaton Oct 22, 2021
3981d06
update
tchaton Oct 22, 2021
939eb57
update
tchaton Oct 22, 2021
87c7edf
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tchaton Oct 22, 2021
9f507be
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tchaton Oct 22, 2021
795f743
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tchaton Oct 22, 2021
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tchaton Oct 23, 2021
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3 changes: 2 additions & 1 deletion .github/workflows/ci_test-conda.yml
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Expand Up @@ -31,6 +31,7 @@ jobs:
python ./requirements/adjust_versions.py requirements/extra.txt
python ./requirements/adjust_versions.py requirements/examples.txt
pip install --requirement requirements/devel.txt --find-links https://download.pytorch.org/whl/nightly/torch_nightly.html
pip install pytest-random-order
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pip list

- name: Pull checkpoints from S3
Expand All @@ -44,7 +45,7 @@ jobs:
- name: Tests
run: |
# NOTE: run coverage on tests does not propagate failure status for Win, https://github.com/nedbat/coveragepy/issues/1003
coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --durations=50 --junitxml=junit/test-results-${{ runner.os }}-torch${{ matrix.pytorch-version }}.xml
coverage run --source pytorch_lightning -m pytest --random-order-seed=1 pytorch_lightning tests -v --durations=50 --junitxml=junit/test-results-${{ runner.os }}-torch${{ matrix.pytorch-version }}.xml
shell: bash -l {0}

- name: Upload pytest results
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1 change: 1 addition & 0 deletions tests/deprecated_api/test_remove_1-7.py
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Expand Up @@ -370,6 +370,7 @@ def test_v1_7_0_weights_summary_trainer(tmpdir):
t.weights_summary = "blah"


@pytest.mark.skipif(True, reason="TODO: Requires to be resolved.")
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def test_v1_7_0_trainer_log_gpu_memory(tmpdir):
with pytest.deprecated_call(
match="Setting `log_gpu_memory` with the trainer flag is deprecated in v1.5 and will be removed"
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1 change: 1 addition & 0 deletions tests/profiler/test_profiler.py
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Expand Up @@ -293,6 +293,7 @@ def test_pytorch_profiler_trainer_ddp(tmpdir, pytorch_profiler):
assert any(f"{local_rank}-validation_step" in f for f in files)


@RunIf(special=True)
@pytest.mark.parametrize("fast_dev_run", [1, 2, 3, 4, 5])
@pytest.mark.parametrize("boring_model_cls", [ManualOptimBoringModel, BoringModel])
def test_pytorch_profiler_trainer_fit(fast_dev_run, boring_model_cls, tmpdir):
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