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CHANGELOG.md

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# Changelog
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## v2.119.0 (2022-12-21)
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### Features
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* add RandomSeed to support reproducible HPO
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* Doc update for TableFormatEnum
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* Add p4de to smddp supported instance types
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* Add disable_profiler field in config and propagate changes
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* Added doc update for dataset builder
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* Add support for TF2.9.2 training images
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* Add SageMaker Experiment
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* Feature Store dataset builder, delete_record, get_record, list_feature_group
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* Add OSU region to frameworks for DLC
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* Algorithms Region Expansion OSU/DXB
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* Add Neo image uri config for Pytorch 1.12
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* Adding support for SageMaker Training Compiler in PyTorch estimator starting 1.12
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* Update registries with new region account number mappings.
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* Add DXB region to frameworks by DLC
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* Add Code Owners file
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* Added transform with monitoring pipeline step in transformer
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* Update TF 2.9 and TF 2.10 inference DLCs
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* make estimator accept json file as modelparallel config
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* SageMaker Training Compiler does not support p4de instances
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* Add support for SparkML v3.3
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### Bug Fixes and Other Changes
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* Do not specify S3 path for disabled profiler
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* Correct SageMaker Clarify API docstrings by changing JSONPath to JMESPath
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* Use Async Inference Config when available for endpoint update
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* the Hyperband support fix for the HPO
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* unpin packaging version
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* Remove content type image/jpg from analysis configuration schema
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* Update for Tensorflow Serving 2.11 inference DLCs
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* Skip Bad Transform Test
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* Pop out ModelPackageName from pipeline definition
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* Fix failing jumpstart cache unit tests
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* FrameworkProcessor S3 uploads
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* Add constraints file for apache-airflow
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* support idempotency for framework and spark processors
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* Fix bug forcing uploaded tar to be named sourcedir
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* Update local_requirements.txt PyYAML version
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* refactoring : using with statement
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* Allow Py 3.7 for MMS Test Docker env
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* Return ARM XGB/SKLearn tags if `image_scope` is `inference_graviton`
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* Update scipy to 1.7.3 to support M1 development envs
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* Fixing type hints for Spark processor that has instance type/count params in reverse order
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* Add DeepAR ap-northeast-3 repository.
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* Fix AsyncInferenceConfig documentation typo
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* fix ml_inf to ml_inf1 in Neo multi-version support
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* Fix type annotations
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* add neo mvp region accounts
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### Documentation Changes
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* fix the incorrect property reference
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* smdistributed libraries release notes
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## v2.125.0 (2022-12-19)
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### Features

VERSION

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2.125.1.dev0
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2.119.1.dev0

src/sagemaker/image_uri_config/autogluon.json

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"version_aliases": {
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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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"0.5": "0.5.2",
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"0.6": "0.6.1"
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},
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"versions": {
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"0.3.1": {
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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": ["py38"]
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},
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"0.4.2": {
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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": ["py38"]
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},
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"0.4.3": {
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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": ["py38"]
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},
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"0.5.2": {
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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": ["py38"]
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},
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"0.6.1": {
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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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"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-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": ["py38"]
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}
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}
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"version_aliases": {
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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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"0.5": "0.5.2",
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"0.6": "0.6.1"
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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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"0.6.1": {
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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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"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-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": ["py38"]
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}
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}
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}

tests/unit/sagemaker/image_uris/test_autogluon.py

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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-west-1": "763104351884",
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"us-west-2": "763104351884",
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}
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VERSIONS = ["0.3.1", "0.3.2", "0.4.0", "0.4.2", "0.4.3", "0.3", "0.4", "0.5.2", "0.5"]
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VERSIONS = [
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"0.3.1",
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"0.3.2",
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"0.4.0",
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"0.4.2",
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"0.4.3",
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"0.3",
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"0.4",
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"0.5.2",
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"0.5",
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"0.6.1",
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"0.6",
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]
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SCOPES = ["training", "inference"]
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PROCESSORS = ["cpu", "gpu"]
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