azure-mgmt-batchai

Microsoft Azure SDK for Python

This package has been deprecated and will no longer be maintained after 10-31-2024. This package will only receive security fixes until 10-31-2024. To receive updates on new features and non-security bug fixes, upgrade to the replacement package, azureml-core. Refer to the migration guide (https://learn.microsoft.com/previous-versions/azure/batch-ai/how-to-migrate) for guidance on upgrading.

Release History

7.0.0 (2024-10-31)

Other Changes

• This package has been deprecated and will no longer be maintained after 10-31-2024. This package will only receive security fixes until 10-31-2024. To receive updates on new features and non-security bug fixes, upgrade to the replacement package, azureml-core. Refer to the migration guide (https://learn.microsoft.com/previous-versions/azure/batch-ai/how-to-migrate) for guidance on upgrading.

7.0.0b1 (2021-06-02)

This is beta preview version. For detailed changelog please refer to equivalent stable version 2.0.0(https://pypi.org/project/azure-mgmt-batchai/2.0.0/)

This version uses a next-generation code generator that introduces important breaking changes, but also important new features (like unified authentication and async programming).

General breaking changes

• Credential system has been completly revamped:

  • azure.common.credentials or msrestazure.azure_active_directory instances are no longer supported, use the azure-identity classes instead: https://pypi.org/project/azure-identity/
  • credentials parameter has been renamed credential

• The config attribute no longer exists on a client, configuration should be passed as kwarg. Example: MyClient(credential, subscription_id, enable_logging=True). For a complete set of supported options, see the parameters accept in init documentation of azure-core

• You can't import a version module anymore, use __version__ instead

• Operations that used to return a msrest.polling.LROPoller now returns a azure.core.polling.LROPoller and are prefixed with begin_.

• Exceptions tree have been simplified and most exceptions are now azure.core.exceptions.HttpResponseError (CloudError has been removed).

• Most of the operation kwarg have changed. Some of the most noticeable:

  • raw has been removed. Equivalent feature can be found using cls, a callback that will give access to internal HTTP response for advanced user
  • For a complete set of supported options, see the parameters accept in Request documentation of azure-core

General new features

• Type annotations support using typing. SDKs are mypy ready.
• This client has now stable and official support for async. Check the aio namespace of your package to find the async client.
• This client now support natively tracing library like OpenCensus or OpenTelemetry. See this tracing quickstart for an overview.

2.0.0 (2018-06-07)

Breaking changes

This version uses 2018-05-01 BatchAI API specification which introduced the following braking changes:

• Clusters, FileServers must be created under a workspace;
• Jobs must be created under an experiment;
• Clusters, FileServers and Jobs do not accept location during creation and belong to the same location as the parent workspace;
• Clusters, FileServers and Jobs do not support tags;
• BatchAIManagementClient.usage renamed to BatchAIManagementClient.usages;
• Job priority changed a type from int to an enum;
• File.is_directory is replaced with File.file_type;
• Job.priority and JobCreateParameters.priority is replaced with scheduling_priority;
• Removed unsupported MountSettings.file_server_type attribute;
• OutputDirectory.type unsupported attribute removed;
• OutputDirectory.create_new attributes removed, BatchAI will always create output directories if they not exist;
• SetupTask.run_elevated attribute removed, the setup task is always executed under root.

Features

• Added support to workspaces to group Clusters, FileServers and Experiments and remove limit on number of allocated resources;
• Added support for experiment to group jobs and remove limit on number of jobs;
• Added support for configuring /dev/shm for jobs which use docker containers;
• Added first class support for generic MPI jobs;
• Added first class support for Horovod jobs.

1.0.1 (2018-04-16)

Bugfixes

• Fix some invalid models in Python 3
• Compatibility of the sdist with wheel 0.31.0

1.0.0 (2018-03-19)

General Breaking changes

This version uses a next-generation code generator that might introduce breaking changes.

• Model signatures now use only keyword-argument syntax. All positional arguments must be re-written as keyword-arguments. To keep auto-completion in most cases, models are now generated for Python 2 and Python 3. Python 3 uses the "*" syntax for keyword-only arguments.

• Enum types now use the "str" mixin (class AzureEnum(str, Enum)) to improve the behavior when unrecognized enum values are encountered. While this is not a breaking change, the distinctions are important, and are documented here: https://docs.python.org/3/library/enum.html#others At a glance:

  • "is" should not be used at all.
  • "format" will return the string value, where "%s" string formatting will return NameOfEnum.stringvalue. Format syntax should be prefered.

• New Long Running Operation:

  • Return type changes from msrestazure.azure_operation.AzureOperationPoller to msrest.polling.LROPoller. External API is the same.
  • Return type is now always a msrest.polling.LROPoller, regardless of the optional parameters used.
  • The behavior has changed when using raw=True. Instead of returning the initial call result as ClientRawResponse, without polling, now this returns an LROPoller. After polling, the final resource will be returned as a ClientRawResponse.
  • New polling parameter. The default behavior is Polling=True which will poll using ARM algorithm. When Polling=False, the response of the initial call will be returned without polling.
  • polling parameter accepts instances of subclasses of msrest.polling.PollingMethod.
  • add_done_callback will no longer raise if called after polling is finished, but will instead execute the callback right away.

Features

• added support for job level mounting
• added support for environment variables with secret values
• added support for performance counters reporting in Azure Application Insights
• added support for custom images
• added support for pyTorch deep learning framework
• added API for usage and limits reporting
• added API for listing job files in subdirectories
• now user can choose caching type during NFS creation
• get cluster now reports a path segment generated for storing start task output logs
• get job now reports a path segment generated for job's output directories
• renamed EnvironmentSetting to EnvironmentVariable

0.2.0 (2017-10-05)

• credentials_info property got renamed to credentials.
• removed unused class FileServerStatus and Code enum
• renamed enums for CachingType and VmPriority
• removed 'statuses' attribute on FileServer

0.1.0 (2017-10-03)

• Initial Release