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use PYTHON_VERSION in tf script mode tests
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tests/integ/test_tf_script_mode.py

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@@ -65,6 +65,7 @@ def test_mnist(sagemaker_session, instance_type):
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sagemaker_session=sagemaker_session,
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script_mode=True,
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framework_version=TensorFlow.LATEST_VERSION,
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py_version=tests.integ.PYTHON_VERSION,
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metric_definitions=[{"Name": "train:global_steps", "Regex": r"global_step\/sec:\s(.*)"}],
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)
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inputs = estimator.sagemaker_session.upload_data(
@@ -98,6 +99,7 @@ def test_server_side_encryption(sagemaker_session):
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sagemaker_session=sagemaker_session,
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script_mode=True,
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framework_version=TensorFlow.LATEST_VERSION,
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py_version=tests.integ.PYTHON_VERSION,
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code_location=output_path,
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output_path=output_path,
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model_dir="/opt/ml/model",
@@ -144,6 +146,7 @@ def test_mnist_async(sagemaker_session):
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role=ROLE,
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train_instance_count=1,
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train_instance_type="ml.c5.4xlarge",
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py_version=tests.integ.PYTHON_VERSION,
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sagemaker_session=sagemaker_session,
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script_mode=True,
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framework_version=TensorFlow.LATEST_VERSION,
@@ -182,6 +185,7 @@ def test_deploy_with_input_handlers(sagemaker_session, instance_type):
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role=ROLE,
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train_instance_count=1,
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train_instance_type=instance_type,
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py_version=tests.integ.PYTHON_VERSION,
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sagemaker_session=sagemaker_session,
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script_mode=True,
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framework_version=TensorFlow.LATEST_VERSION,

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