def get_machine_learning_compute(compute_name: Optional[str]=None, resource_group_name: Optional[str]=None, workspace_name: Optional[str]=None, opts: Optional[pulumi.InvokeOptions]=None) -> AwaitableGetMachineLearningComputeResult:
    '\n    Use this data source to access information about an existing resource.\n\n    :param str compute_name: Name of the Azure Machine Learning compute.\n    :param str resource_group_name: Name of the resource group in which workspace is located.\n    :param str workspace_name: Name of Azure Machine Learning workspace.\n    '
    __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/v20200901preview:getMachineLearningCompute', __args__, opts=opts, typ=GetMachineLearningComputeResult).value
    return AwaitableGetMachineLearningComputeResult(identity=__ret__.identity, location=__ret__.location, name=__ret__.name, properties=__ret__.properties, sku=__ret__.sku, tags=__ret__.tags, type=__ret__.type)
Use this data source to access information about an existing resource.

: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.
def get_machine_learning_compute(compute_name: Optional[str]=None, resource_group_name: Optional[str]=None, workspace_name: Optional[str]=None, opts: Optional[pulumi.InvokeOptions]=None) -> AwaitableGetMachineLearningComputeResult:
    '\n    Use this data source to access information about an existing resource.\n\n    :param str compute_name: Name of the Azure Machine Learning compute.\n    :param str resource_group_name: Name of the resource group in which workspace is located.\n    :param str workspace_name: Name of Azure Machine Learning workspace.\n    '
    __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/v20200901preview:getMachineLearningCompute', __args__, opts=opts, typ=GetMachineLearningComputeResult).value
    return AwaitableGetMachineLearningComputeResult(identity=__ret__.identity, location=__ret__.location, name=__ret__.name, properties=__ret__.properties, sku=__ret__.sku, tags=__ret__.tags, type=__ret__.type)