CommandComponent Class

Command component version, used to define a Command Component or Job.

Inheritance

azure.ai.ml.entities._component.component.Component

CommandComponent

azure.ai.ml.entities._job.parameterized_command.ParameterizedCommand

CommandComponent

azure.ai.ml.entities._component._additional_includes.AdditionalIncludesMixin

CommandComponent

Constructor

CommandComponent(*, name: str | None = None, version: str | None = None, description: str | None = None, tags: Dict | None = None, display_name: str | None = None, command: str | None = None, code: PathLike | str | None = None, environment: Environment | str | None = None, distribution: Dict | MpiDistribution | TensorFlowDistribution | PyTorchDistribution | RayDistribution | DistributionConfiguration | None = None, resources: JobResourceConfiguration | None = None, inputs: Dict | None = None, outputs: Dict | None = None, instance_count: int | None = None, is_deterministic: bool = True, additional_includes: List | None = None, properties: Dict | None = None, **kwargs: Any)

Keyword-Only Parameters

Name	Description
name	Optional[str] The name of the Command job or component.
version	Optional[str] The version of the Command job or component.
description	Optional[str] The description of the component. Defaults to None.
tags	Optional[dict] Tag dictionary. Tags can be added, removed, and updated. Defaults to None.
display_name	Optional[str] The display name of the component.
command	Optional[str] The command to be executed.
code	The source code to run the job. Can be a local path or "http:", "https:", or "azureml:" url pointing to a remote location.
environment	Optional[Union[str, Environment]] The environment that the job will run in.
distribution	Optional[Union[PyTorchDistribution, MpiDistribution, TensorFlowDistribution, RayDistribution]] The configuration for distributed jobs. Defaults to None.
resources	Optional[JobResourceConfiguration] The compute resource configuration for the command.
inputs	Optional[dict[str, Union[ Input, str, bool, int, float, <xref:Enum>, ]]] A mapping of input names to input data sources used in the job. Defaults to None.
outputs	Optional[dict[str, Union[str, Output]]] A mapping of output names to output data sources used in the job. Defaults to None.
instance_count	Optional[int] The number of instances or nodes to be used by the compute target. Defaults to 1.
is_deterministic	Optional[bool] Specifies whether the Command will return the same output given the same input. Defaults to True. When True, if a Command (component) is deterministic and has been run before in the current workspace with the same input and settings, it will reuse results from a previous submitted job when used as a node or step in a pipeline. In that scenario, no compute resources will be used. Default value: True
additional_includes	Optional[List[str]] A list of shared additional files to be included in the component. Defaults to None.
properties	Optional[dict[str, str]] The job property dictionary. Defaults to None.

Examples

Creating a CommandComponent.

   from azure.ai.ml.entities import CommandComponent

   component = CommandComponent(
       name="sample_command_component_basic",
       display_name="CommandComponentBasic",
       description="This is the basic command component",
       tags={"tag": "tagvalue", "owner": "sdkteam"},
       version="1",
       outputs={"component_out_path": {"type": "uri_folder"}},
       command="echo Hello World",
       code="./src",
       environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33",
   )

Methods

dump	Dump the component content into a file in yaml format.

dump

Dump the component content into a file in yaml format.

dump(dest: str | PathLike | IO, **kwargs: Any) -> None

Parameters

Name	Description
dest Required	Union[<xref:PathLike>, str, IO[AnyStr]] The destination to receive this component's content. Must be either a path to a local file, or an already-open file stream. If dest is a file path, a new file will be created, and an exception is raised if the file exists. If dest is an open file, the file will be written to directly, and an exception will be raised if the file is not writable.

Attributes

base_path

The base path of the resource.

Returns

Type	Description
str	The base path of the resource.

creation_context

The creation context of the resource.

Returns

Type	Description
Optional[SystemData]	The creation metadata for the resource.

display_name

Display name of the component.

Returns

Type	Description
str	Display name of the component.

distribution

The configuration for the distributed command component or job.

Returns

Type	Description
Union[PyTorchDistribution, MpiDistribution, TensorFlowDistribution, RayDistribution]	The distribution configuration.

id

The resource ID.

Returns

Type	Description
Optional[str]	The global ID of the resource, an Azure Resource Manager (ARM) ID.

inputs

Inputs of the component.

Returns

Type	Description
dict	Inputs of the component.

instance_count

The number of instances or nodes to be used by the compute target.

Returns

Type	Description
int	The number of instances or nodes.

is_deterministic

Whether the component is deterministic.

Returns

Type	Description
bool	Whether the component is deterministic

outputs

Outputs of the component.

Returns

Type	Description
dict	Outputs of the component.

resources

The compute resource configuration for the command component or job.

Returns

Type	Description
JobResourceConfiguration	The compute resource configuration for the command component or job.

type

Type of the component, default is 'command'.

Returns

Type	Description
str	Type of the component.

version

Version of the component.

Returns

Type	Description
str	Version of the component.