ContainerImageConfig Class

Defines Image configuration settings specific to Container deployments - requires execution script and runtime.

In typical use cases, you will use the image_configuration method of the ContainerImage class to create a ContainerImageConfig object.

Initialize the config object.

Inheritance

ImageConfig

ContainerImageConfig

Constructor

ContainerImageConfig(execution_script, runtime, conda_file=None, docker_file=None, schema_file=None, dependencies=None, enable_gpu=None, tags=None, properties=None, description=None, base_image=None, base_image_registry=None, allow_absolute_path=False, cuda_version=None)

Parameters

Name	Description
execution_script Required	str The path to local file that contains the code to run for the image.
runtime Required	str The runtime to use for the image. Current supported runtimes are 'spark-py' and 'python'.
conda_file	str The path to local file containing a conda environment definition to use for the image. default value: None
docker_file	str The path to local file containing additional Docker steps to run when setting up the image. default value: None
schema_file	str The path to local file containing a webservice schema to use when the image is deployed. default value: None
dependencies	list[str] A list of paths to additional files/folders that the image needs to run. default value: None
enable_gpu	bool Whether to enable GPU support in the image. The GPU image must be used on Microsoft Azure Services such as Azure Container Instances, Azure Machine Learning Compute, Azure Virtual Machines, and Azure Kubernetes Service. Defaults to False. default value: None
tags	dict[(str, str)] A dictionary of key value tags to give this image. default value: None
properties	dict[(str, str)] A dictionary of key value properties to give this image. These properties cannot be changed after deployment, however new key value pairs can be added. default value: None
description	str A description to give this image. default value: None
base_image	str A custom image to be used as base image. If no base image is given then the base image will be used based off of given runtime parameter. default value: None
base_image_registry	ContainerRegistry The image registry that contains the base image. default value: None
allow_absolute_path	bool Indicates whether to allow absolute path. default value: False
cuda_version	str The version of CUDA to install for images that need GPU support. The GPU image must be used on Microsoft Azure Services such as Azure Container Instances, Azure Machine Learning Compute, Azure Virtual Machines, and Azure Kubernetes Service. Supported versions are 9.0, 9.1, and 10.0. If 'enable_gpu' is set, this defaults to '9.1'. default value: None
execution_script Required	str Path to local file that contains the code to run for the image
runtime Required	str Which runtime to use for the image. Current supported runtimes are 'spark-py' and 'python'
conda_file Required	str Path to local file containing a conda environment definition to use for the image
docker_file Required	str Path to local file containing additional Docker steps to run when setting up the image
schema_file Required	str Path to local file containing a webservice schema to use when the image is deployed
dependencies Required	list[str] List of paths to additional files/folders that the image needs to run
enable_gpu Required	bool Whether or not to enable GPU support in the image. The GPU image must be used on Microsoft Azure Services such as Azure Container Instances, Azure Machine Learning Compute, Azure Virtual Machines, and Azure Kubernetes Service. Defaults to false.
tags Required	dict[str, str] Dictionary of key value tags to give this image
properties Required	dict[str, str] Dictionary of key value properties to give this image. These properties cannot be changed after deployment, however new key value pairs can be added
description Required	str A description to give this image
base_image Required	str A custom image to be used as base image. If no base image is given then the base image will be used based off of given runtime parameter.
base_image_registry Required	ContainerRegistry Image registry that contains the base image.
allow_absolute_path Required	bool Flag to allow the absolute path
cuda_version Required	str Version of CUDA to install for images that need GPU support. The GPU image must be used on Microsoft Azure Services such as Azure Container Instances, Azure Machine Learning Compute, Azure Virtual Machines, and Azure Kubernetes Service. Supported versions are 9.0, 9.1, and 10.0. If 'enable_gpu' is set, this defaults to '9.1'.

Methods

build_create_payload	Build the creation payload for the Container image.
create_local_debug_payload	Build the creation payload for the Container image.
validate_configuration	Check that the specified configuration values are valid. Raises a :class:azureml.exceptions.WebserviceException` if validation fails.

build_create_payload

Build the creation payload for the Container image.

build_create_payload(workspace, name, model_ids)

Parameters

Name	Description
workspace Required	Workspace The workspace object to create the image in.
name Required	str The name of the image.
model_ids Required	list[str] A list of model IDs to package into the image.

Returns

Type	Description
dict	Container image creation payload.

Exceptions

Type	Description
WebserviceException

create_local_debug_payload

Build the creation payload for the Container image.

create_local_debug_payload(workspace, model_ids)

Parameters

Name	Description
workspace Required	Workspace The workspace object to create the image in.
model_ids Required	list[str] A list of model IDs to package into the image.

Returns

Type	Description
dict	Container image creation payload.

Exceptions

Type	Description
WebserviceException

validate_configuration

Check that the specified configuration values are valid.

Raises a :class:azureml.exceptions.WebserviceException` if validation fails.

validate_configuration()

Exceptions

Type	Description
WebserviceException