azure-mgmt-batchai 1.0.0

Microsoft Azure Batch AI Management Client Library for Python

Microsoft Azure SDK for Python

This is the Microsoft Azure Batch AI Management Client Library.

Azure Resource Manager (ARM) is the next generation of management APIs that replace the old Azure Service Management (ASM).

This package has been tested with Python 2.7, 3.4, 3.5 and 3.6.

For the older Azure Service Management (ASM) libraries, see azure-servicemanagement-legacy library.

For a more complete set of Azure libraries, see the azure bundle package.

Compatibility

IMPORTANT: If you have an earlier version of the azure package (version < 1.0), you should uninstall it before installing this package.

You can check the version using pip:

pip freeze

If you see azure==0.11.0 (or any version below 1.0), uninstall it first:

pip uninstall azure

Usage

For code examples, see Batch AI Management on docs.microsoft.com.

Provide Feedback

If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.

Release History

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