sdk/python/pulumi_azure_nextgen/machinelearningservices/v20200301/list_machine_learning_compute_nodes.py
def list_machine_learning_compute_nodes(compute_name: Optional[str] = None,
                                        resource_group_name: Optional[str] = None,
                                        workspace_name: Optional[str] = None,
                                        opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableListMachineLearningComputeNodesResult:
    """
    Compute node information related to a AmlCompute.


    :param str compute_name: Name of the Azure Machine Learning compute.
    :param str resource_group_name: Name of the resource group in which workspace is located.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    """
    __args__ = dict()
    __args__['computeName'] = compute_name
    __args__['resourceGroupName'] = resource_group_name
    __args__['workspaceName'] = workspace_name
    if opts is None:
        opts = pulumi.InvokeOptions()
    if opts.version is None:
        opts.version = _utilities.get_version()
    __ret__ = pulumi.runtime.invoke('azure-nextgen:machinelearningservices/v20200301:listMachineLearningComputeNodes', __args__, opts=opts, typ=ListMachineLearningComputeNodesResult).value

    return AwaitableListMachineLearningComputeNodesResult(
        compute_type=__ret__.compute_type,
        next_link=__ret__.next_link,
        nodes=__ret__.nodes)

    Compute node information related to a AmlCompute.


    :param str compute_name: Name of the Azure Machine Learning compute.
    :param str resource_group_name: Name of the resource group in which workspace is located.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    
Compute node information related to a AmlCompute.
Compute node information related to a AmlCompute .
def list_machine_learning_compute_nodes(compute_name: Optional[str] = None,
                                        resource_group_name: Optional[str] = None,
                                        workspace_name: Optional[str] = None,
                                        opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableListMachineLearningComputeNodesResult:
    __args__ = dict()
    __args__['computeName'] = compute_name
    __args__['resourceGroupName'] = resource_group_name
    __args__['workspaceName'] = workspace_name
    if opts is None:
        opts = pulumi.InvokeOptions()
    if opts.version is None:
        opts.version = _utilities.get_version()
    __ret__ = pulumi.runtime.invoke('azure-nextgen:machinelearningservices/v20200301:listMachineLearningComputeNodes', __args__, opts=opts, typ=ListMachineLearningComputeNodesResult).value
    return AwaitableListMachineLearningComputeNodesResult(
        compute_type=__ret__.compute_type,
        next_link=__ret__.next_link,
        nodes=__ret__.nodes)
def list_machine_learning_compute_nodes ( compute_name : Optional [ str ] = None , resource_group_name : Optional [ str ] = None , workspace_name : Optional [ str ] = None , opts : Optional [ pulumi . InvokeOptions ] = None ) -> AwaitableListMachineLearningComputeNodesResult : __args__ = dict ( ) __args__ [ 'computeName' ] = compute_name __args__ [ 'resourceGroupName' ] = resource_group_name __args__ [ 'workspaceName' ] = workspace_name if opts is None : opts = pulumi . InvokeOptions ( ) if opts . version is None : opts . version = _utilities . get_version ( ) __ret__ = pulumi . runtime . invoke ( 'azure-nextgen:machinelearningservices/v20200301:listMachineLearningComputeNodes' , __args__ , opts = opts , typ = ListMachineLearningComputeNodesResult ) . value return AwaitableListMachineLearningComputeNodesResult ( compute_type = __ret__ . compute_type , next_link = __ret__ . next_link , nodes = __ret__ . nodes )
Compute node information related to a AmlCompute.
Compute node information related to a AmlCompute .
"""
    Compute node information related to a AmlCompute.


    :param str compute_name: Name of the Azure Machine Learning compute.
    :param str resource_group_name: Name of the resource group in which workspace is located.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    """
compute_name
Optional[str]
Name of the Azure Machine Learning compute.
Name of the Azure Machine Learning compute .
resource_group_name
Optional[str]
Name of the resource group in which workspace is located.
Name of the resource group in which workspace is located .
workspace_name
Optional[str]
Name of Azure Machine Learning workspace.
Name of Azure Machine Learning workspace .
opts
Optional[pulumi.InvokeOptions]