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JobResourceConfiguration Class

Job resource configuration class, inherited and extended functionalities from ResourceConfiguration.

Constructor

JobResourceConfiguration(*, locations: List[str] | None = None, instance_count: int | None = None, instance_type: str | List | None = None, properties: Properties | Dict | None = None, docker_args: str | List[str] | None = None, shm_size: str | None = None, max_instance_count: int | None = None, **kwargs: Any)

Keyword-Only Parameters

Name	Description
locations	Optional[List[str]] A list of locations where the job can run. Default value: None
instance_count	Optional[int] The number of instances or nodes used by the compute target. Default value: None
instance_type	Optional[str] The type of VM to be used, as supported by the compute target. Default value: None
properties	Optional[dict[str, Any]] A dictionary of properties for the job. Default value: None
docker_args	Optional[Union[str, List[str]]] Extra arguments to pass to the Docker run command. This would override any parameters that have already been set by the system, or in this section. This parameter is only supported for Azure ML compute types. Default value: None
shm_size	Optional[str] The size of the docker container's shared memory block. This should be in the format of (number)(unit) where the number has to be greater than 0 and the unit can be one of b(bytes), k(kilobytes), m(megabytes), or g(gigabytes). Default value: None
max_instance_count	Optional[int] The maximum number of instances or nodes used by the compute target. Default value: None
kwargs	dict A dictionary of additional configuration parameters.

Examples

Configuring a CommandJob with a JobResourceConfiguration.

   from azure.ai.ml import MpiDistribution
   from azure.ai.ml.entities import JobResourceConfiguration

   trial = CommandJob(
       environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33",
       command="echo hello world",
       distribution=MpiDistribution(),
       environment_variables={"ENV1": "VAR1"},
       resources=JobResourceConfiguration(instance_count=2, instance_type="STANDARD_BLA"),
       code="./",
   )

Methods

get
has_key
items
keys
update
values

get

get(key: Any, default: Any | None = None) -> Any

Parameters

Name	Description
key Required
default	Default value: None

has_key

has_key(k: Any) -> bool

Parameters

Name	Description
k Required

items

items() -> list

keys

keys() -> list

update

update(*args: Any, **kwargs: Any) -> None

values

values() -> list

Attributes

properties

The properties of the job.

Returns

Type	Description
<xref:azure.ai.ml.entities._job.job_resource_configuration.Properties>