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Merge branch 'master' into chore/telemetry-for-deployment-configs
2 parents 35b85c2 + e09693c commit 5150ef2

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src/sagemaker/image_uri_config/pytorch.json

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"us-gov-west-1": "442386744353",
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"us-iso-east-1": "886529160074",
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"us-isob-east-1": "094389454867",
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"us-isof-east-1": "303241398832",
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"us-isof-south-1": "454834333376",
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"us-west-1": "763104351884",
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"us-west-2": "763104351884"
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"us-gov-west-1": "442386744353",
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"us-iso-east-1": "886529160074",
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"us-isob-east-1": "094389454867",
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"us-isof-east-1": "303241398832",
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"us-isof-south-1": "454834333376",
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"us-west-1": "763104351884",
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"us-west-2": "763104351884"
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"us-gov-west-1": "442386744353",
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"us-iso-east-1": "886529160074",
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"us-isob-east-1": "094389454867",
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"us-isof-east-1": "303241398832",
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"us-isof-south-1": "454834333376",
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"us-west-1": "763104351884",
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"us-west-2": "763104351884"
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"us-gov-west-1": "442386744353",
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"us-iso-east-1": "886529160074",
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"us-isob-east-1": "094389454867",
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"us-isof-east-1": "303241398832",
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"us-isof-south-1": "454834333376",
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"us-west-1": "763104351884",
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"us-west-2": "763104351884"

src/sagemaker/image_uri_config/tensorflow.json

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"us-gov-west-1": "442386744353",
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"us-iso-east-1": "886529160074",
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"us-isob-east-1": "094389454867",
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"us-isof-east-1": "303241398832",
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"us-isof-south-1": "454834333376",
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"us-west-1": "763104351884",
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"us-west-2": "763104351884"
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"us-gov-west-1": "442386744353",
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"us-iso-east-1": "886529160074",
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"us-isob-east-1": "094389454867",
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"us-isof-east-1": "303241398832",
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"us-isof-south-1": "454834333376",
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"us-west-1": "763104351884",
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"us-west-2": "763104351884"
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"us-gov-west-1": "442386744353",
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"us-iso-east-1": "886529160074",
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"us-isob-east-1": "094389454867",
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"us-isof-east-1": "303241398832",
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"us-isof-south-1": "454834333376",
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"us-west-1": "763104351884",
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"us-west-2": "763104351884"

tests/integ/test_byo_estimator.py

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@@ -109,7 +109,7 @@ def test_byo_estimator(sagemaker_session, region, cpu_instance_type, training_se
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@pytest.mark.release
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def test_estimator_register_publish_training_details(sagemaker_session, region):
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def test_estimator_register_publish_training_details(sagemaker_session, region, cpu_instance_type):
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bucket = sagemaker_session.default_bucket()
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prefix = "model-card-sample-notebook"
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container,
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role="SageMakerRole",
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instance_count=1,
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instance_type="ml.m4.xlarge",
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instance_type=cpu_instance_type,
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output_path=output_location,
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sagemaker_session=sagemaker_session,
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)

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