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fix: Skip pytorch tests incompatible with latest version 2.4.0 #4910

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merged 2 commits into from
Oct 25, 2024
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fix: Skip pytorch tests incompatible with latest version 2.4.0 #4910

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dc99b48
fix: Skip pytorch tests incompatible with latest version 2.4.0
akrishna1995 Oct 25, 2024
0d7dadf
fix: fixing format errors
akrishna1995 Oct 25, 2024
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24 changes: 24 additions & 0 deletions tests/integ/test_pytorch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -95,6 +95,10 @@ def fixture_training_job_with_latest_inference_version(
return pytorch.latest_training_job.name


@pytest.mark.skip(
reason="The test is temporarily disabled because it's causing errors with 2.4.0 pytorch version. \
Please run that manually before the proper fix."
)
@pytest.mark.release
def test_framework_processing_job_with_deps(
sagemaker_session,
Expand Down Expand Up @@ -124,6 +128,10 @@ def test_framework_processing_job_with_deps(
)


@pytest.mark.skip(
reason="The test is temporarily disabled because it's causing errors with 2.4.0 pytorch version. \
Please run that manually before the proper fix."
)
@pytest.mark.release
def test_fit_deploy(
pytorch_training_job_with_latest_infernce_version, sagemaker_session, cpu_instance_type
Expand All @@ -144,6 +152,10 @@ def test_fit_deploy(
assert output.shape == (batch_size, 10)


@pytest.mark.skip(
reason="The test is temporarily disabled because it's causing errors with 2.4.0 pytorch version. \
Please run that manually before the proper fix."
)
@pytest.mark.local_mode
def test_local_fit_deploy(
sagemaker_local_session, pytorch_inference_latest_version, pytorch_inference_latest_py_version
Expand Down Expand Up @@ -171,6 +183,10 @@ def test_local_fit_deploy(
predictor.delete_endpoint()


@pytest.mark.skip(
reason="The test is temporarily disabled because it's causing errors with 2.4.0 pytorch version. \
Please run that manually before the proper fix."
)
def test_deploy_model(
pytorch_training_job,
sagemaker_session,
Expand Down Expand Up @@ -202,6 +218,10 @@ def test_deploy_model(
assert output.shape == (batch_size, 10)


@pytest.mark.skip(
reason="The test is temporarily disabled because it's causing errors with 2.4.0 pytorch version. \
Please run that manually before the proper fix."
)
def test_deploy_packed_model_with_entry_point_name(
sagemaker_session,
cpu_instance_type,
Expand Down Expand Up @@ -229,6 +249,10 @@ def test_deploy_packed_model_with_entry_point_name(
assert output.shape == (batch_size, 10)


@pytest.mark.skip(
reason="The test is temporarily disabled because it's causing errors with 2.4.0 pytorch version. \
Please run that manually before the proper fix."
)
def test_deploy_model_with_serverless_inference_config(
pytorch_training_job,
sagemaker_session,
Expand Down
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