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tests/integ/test_horovod.py

Lines changed: 1 addition & 1 deletion
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@@ -65,7 +65,7 @@ def test_hvd_gpu(
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and kwargs["instance_type"] == "ml.p2.xlarge"
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):
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pytest.skip(
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f"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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)
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_create_and_fit_estimator(

tests/integ/test_tf.py

Lines changed: 3 additions & 3 deletions
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@@ -62,7 +62,7 @@ def test_framework_processing_job_with_deps(
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and kwargs["instance_type"] == "ml.p2.xlarge"
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):
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pytest.skip(
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f"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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)
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with timeout.timeout(minutes=TRAINING_DEFAULT_TIMEOUT_MINUTES):
@@ -201,7 +201,7 @@ def test_mwms_gpu(
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and kwargs["instance_type"] == "ml.p2.xlarge"
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):
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pytest.skip(
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f"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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)
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instance_count = 2
@@ -265,7 +265,7 @@ def test_mnist_distributed_gpu(
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and kwargs["instance_type"] == "ml.p2.xlarge"
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):
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pytest.skip(
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f"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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"P2 instances have been deprecated for sagemaker jobs starting TensorFlow 2.12"
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)
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_create_and_fit_estimator(

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