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Skip horovod tests with cuda errors (#16276)

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Adrian Wälchli 2023-01-06 16:07:49 +01:00 committed by GitHub
parent 9c3c819a94
commit 72e1f54dd9
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1 changed files with 8 additions and 0 deletions
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8
tests/tests_pytorch/models/test_horovod.py
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@ -132,6 +132,7 @@ def test_horovod_cpu_implicit(tmpdir):
_run_horovod(trainer_options) _run_horovod(trainer_options)
@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True) @RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
def test_horovod_multi_gpu(tmpdir): def test_horovod_multi_gpu(tmpdir):
"""Test Horovod with multi-GPU support.""" """Test Horovod with multi-GPU support."""
@ -149,6 +150,7 @@ def test_horovod_multi_gpu(tmpdir):
_run_horovod(trainer_options) _run_horovod(trainer_options)
@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True) @RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
def test_horovod_multi_gpu_accumulate_grad_batches(tmpdir): def test_horovod_multi_gpu_accumulate_grad_batches(tmpdir):
trainer_options = dict( trainer_options = dict(
@ -165,10 +167,12 @@ def test_horovod_multi_gpu_accumulate_grad_batches(tmpdir):
_run_horovod(trainer_options) _run_horovod(trainer_options)
@pytest.mark.xfail(reason="unhandled cuda error")
@RunIf(horovod=True, skip_windows=True, min_cuda_gpus=1) @RunIf(horovod=True, skip_windows=True, min_cuda_gpus=1)
def test_horovod_raises_unsupported_accumulate_grad_batches(tmpdir): def test_horovod_raises_unsupported_accumulate_grad_batches(tmpdir):
"""Ensure MisConfigurationException for different `accumulate_grad_batches` at different epochs for Horovod """Ensure MisConfigurationException for different `accumulate_grad_batches` at different epochs for Horovod
Strategy on multi-gpus.""" Strategy on multi-gpus."""
model = BoringModel() model = BoringModel()
with pytest.deprecated_call(match=r"horovod'\)` has been deprecated in v1.9"): with pytest.deprecated_call(match=r"horovod'\)` has been deprecated in v1.9"):
trainer = Trainer( trainer = Trainer(
@ -183,6 +187,7 @@ def test_horovod_raises_unsupported_accumulate_grad_batches(tmpdir):
trainer.fit(model) trainer.fit(model)
@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True) @RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
def test_horovod_multi_gpu_grad_by_value(tmpdir): def test_horovod_multi_gpu_grad_by_value(tmpdir):
"""Test Horovod with multi-GPU support.""" """Test Horovod with multi-GPU support."""
@ -201,6 +206,7 @@ def test_horovod_multi_gpu_grad_by_value(tmpdir):
_run_horovod(trainer_options) _run_horovod(trainer_options)
@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True) @RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
def test_horovod_amp(tmpdir): def test_horovod_amp(tmpdir):
"""Test Horovod with multi-GPU support using native amp.""" """Test Horovod with multi-GPU support using native amp."""
@ -220,6 +226,7 @@ def test_horovod_amp(tmpdir):
_run_horovod(trainer_options) _run_horovod(trainer_options)
@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True) @RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
def test_horovod_gather(tmpdir): def test_horovod_gather(tmpdir):
"""Test Horovod with multi-GPU support using native amp.""" """Test Horovod with multi-GPU support using native amp."""
@ -237,6 +244,7 @@ def test_horovod_gather(tmpdir):
_run_horovod(trainer_options) _run_horovod(trainer_options)
@pytest.mark.xfail(reason="unhandled cuda error")
@RunIf(min_cuda_gpus=2, skip_windows=True, horovod=True, horovod_nccl=True) @RunIf(min_cuda_gpus=2, skip_windows=True, horovod=True, horovod_nccl=True)
def test_horovod_transfer_batch_to_gpu(tmpdir): def test_horovod_transfer_batch_to_gpu(tmpdir):
class TestTrainingStepModel(BoringModel): class TestTrainingStepModel(BoringModel):