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Skip horovod tests with cuda errors (#16276)
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tests/tests_pytorch/models/test_horovod.py

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@@ -132,6 +132,7 @@ def test_horovod_cpu_implicit(tmpdir):
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_run_horovod(trainer_options)
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@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
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@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
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def test_horovod_multi_gpu(tmpdir):
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"""Test Horovod with multi-GPU support."""
@@ -149,6 +150,7 @@ def test_horovod_multi_gpu(tmpdir):
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_run_horovod(trainer_options)
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@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
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@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
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def test_horovod_multi_gpu_accumulate_grad_batches(tmpdir):
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trainer_options = dict(
@@ -165,10 +167,12 @@ def test_horovod_multi_gpu_accumulate_grad_batches(tmpdir):
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_run_horovod(trainer_options)
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@pytest.mark.xfail(reason="unhandled cuda error")
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@RunIf(horovod=True, skip_windows=True, min_cuda_gpus=1)
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def test_horovod_raises_unsupported_accumulate_grad_batches(tmpdir):
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"""Ensure MisConfigurationException for different `accumulate_grad_batches` at different epochs for Horovod
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Strategy on multi-gpus."""
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model = BoringModel()
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with pytest.deprecated_call(match=r"horovod'\)` has been deprecated in v1.9"):
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trainer = Trainer(
@@ -183,6 +187,7 @@ def test_horovod_raises_unsupported_accumulate_grad_batches(tmpdir):
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trainer.fit(model)
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@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
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@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
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def test_horovod_multi_gpu_grad_by_value(tmpdir):
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"""Test Horovod with multi-GPU support."""
@@ -201,6 +206,7 @@ def test_horovod_multi_gpu_grad_by_value(tmpdir):
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_run_horovod(trainer_options)
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@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
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@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
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def test_horovod_amp(tmpdir):
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"""Test Horovod with multi-GPU support using native amp."""
@@ -220,6 +226,7 @@ def test_horovod_amp(tmpdir):
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_run_horovod(trainer_options)
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@pytest.mark.xfail(raises=AssertionError, reason="unhandled cuda error")
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@RunIf(min_cuda_gpus=2, horovod_nccl=True, skip_windows=True)
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def test_horovod_gather(tmpdir):
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"""Test Horovod with multi-GPU support using native amp."""
@@ -237,6 +244,7 @@ def test_horovod_gather(tmpdir):
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_run_horovod(trainer_options)
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@pytest.mark.xfail(reason="unhandled cuda error")
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@RunIf(min_cuda_gpus=2, skip_windows=True, horovod=True, horovod_nccl=True)
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def test_horovod_transfer_batch_to_gpu(tmpdir):
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class TestTrainingStepModel(BoringModel):

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