@@ -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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+
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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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