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CHANGELOG.md

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# Changelog
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## v2.141.0 (2023-03-24)
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### Features
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* AutoGluon 0.7.0 image_uris update
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* Add DJL FasterTransformer image uris
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* EMR step runtime role support
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* locations for EMR configuration and Spark dependencies
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* Adding support for 1P Algorithms in ZAZ, ZRH, HYD, MEL
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### Documentation Changes
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* Update FeatureGroup kms key id documentation
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## v2.140.1 (2023-03-21)
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### Bug Fixes and Other Changes

VERSION

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2.140.2.dev0
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2.141.1.dev0

src/sagemaker/image_uri_config/autogluon.json

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"0.3": "0.3.2",
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"0.4": "0.4.3",
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"0.5": "0.5.2",
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"0.6": "0.6.2"
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"0.6": "0.6.2",
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"0.7": "0.7.0"
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},
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"versions": {
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"0.3.1": {
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"repository": "autogluon-training",
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"processors": ["cpu", "gpu"],
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"py_versions": ["py38"]
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},
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"0.7.0": {
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"registries": {
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"af-south-1": "626614931356",
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"ap-east-1": "871362719292",
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"ap-northeast-1": "763104351884",
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"ap-northeast-2": "763104351884",
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"ap-northeast-3": "364406365360",
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"ap-south-1": "763104351884",
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"ap-southeast-1": "763104351884",
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"ap-southeast-2": "763104351884",
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"ap-southeast-3": "907027046896",
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"ap-southeast-4": "457447274322",
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"ca-central-1": "763104351884",
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"eu-central-1": "763104351884",
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"eu-north-1": "763104351884",
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"eu-west-1": "763104351884",
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"eu-west-2": "763104351884",
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"eu-west-3": "763104351884",
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"eu-south-1": "692866216735",
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"me-south-1": "217643126080",
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"sa-east-1": "763104351884",
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"us-east-1": "763104351884",
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"us-east-2": "763104351884",
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"us-gov-east-1": "446045086412",
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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-west-1": "763104351884",
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"us-west-2": "763104351884"
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},
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"repository": "autogluon-training",
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"processors": ["cpu", "gpu"],
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"py_versions": ["py39"]
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}
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}
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},
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"0.3": "0.3.2",
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"0.4": "0.4.3",
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"0.5": "0.5.2",
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"0.6": "0.6.2"
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"0.6": "0.6.2",
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"0.7": "0.7.0"
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},
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"versions": {
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"0.3.1": {
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"repository": "autogluon-inference",
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"processors": ["cpu", "gpu"],
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"py_versions": ["py38"]
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},
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"0.7.0": {
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"registries": {
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"af-south-1": "626614931356",
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"ap-east-1": "871362719292",
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"ap-northeast-1": "763104351884",
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"ap-northeast-2": "763104351884",
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"ap-northeast-3": "364406365360",
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"ap-south-1": "763104351884",
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"ap-southeast-1": "763104351884",
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"ap-southeast-2": "763104351884",
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"ap-southeast-3": "907027046896",
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"ap-southeast-4": "457447274322",
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"ca-central-1": "763104351884",
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"cn-north-1": "727897471807",
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"cn-northwest-1": "727897471807",
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"eu-central-1": "763104351884",
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"eu-north-1": "763104351884",
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"eu-west-1": "763104351884",
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"eu-west-2": "763104351884",
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"eu-west-3": "763104351884",
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"eu-south-1": "692866216735",
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"me-south-1": "217643126080",
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"sa-east-1": "763104351884",
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"us-east-1": "763104351884",
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"us-east-2": "763104351884",
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"us-gov-east-1": "446045086412",
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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-west-1": "763104351884",
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"us-west-2": "763104351884"
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},
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"repository": "autogluon-inference",
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"processors": ["cpu", "gpu"],
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"py_versions": ["py39"]
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}
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}
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}

tests/unit/sagemaker/image_uris/test_autogluon.py

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"0.6.1",
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"0.6",
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"0.6.2",
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"0.7.0",
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"0.7",
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]
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SCOPES = ["training", "inference"]
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@pytest.mark.parametrize("processor", PROCESSORS)
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def test_valid_uris_training(version, scope, processor):
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instance_type = "ml.c4.xlarge" if processor == "cpu" else "ml.p2.xlarge"
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py_version = "py37" if version == "0.3.1" else "py38"
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if version == "0.3.1":
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py_version = "py37"
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elif version < "0.7":
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py_version = "py38"
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else:
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py_version = "py39"
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if (
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scope == "inference"
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and processor == "gpu"

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