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components batch_resource_manager
github-actions[bot] edited this page Oct 23, 2023
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Resource Manager for batch inference.
Version: 0.0.1
View in Studio: https://ml.azure.com/registries/azureml/components/batch_resource_manager/version/0.0.1
Name | Description | Type | Default | Optional | Enum |
---|---|---|---|---|---|
wait_input | uri_file | True | |||
endpoint_name | The endpoint name or url. If not provided, the endpoint will be created. | string | True | ||
deployment_name | The deployment name. If not provided, the deployment will be created. | string | True | ||
model | Model name or model asset path. Only needed for managed deployment. | string | True | ||
model_version | Model version. If model asset path provided, this one can be optional. | string | True | ||
deployment_sku | The sku for the deployment. Only needed for managed deployment. | string | True | ||
endpoint_workspace | The workspace name for the endpoint. If not provided, the same workspace of the run will be used. | string | True | ||
endpoint_resource_group | The resource group name for the endpoint. If not provided, the same resource group of the run will be used. | string | True | ||
endpoint_subscription_id | The subscription id for the endpoint. If not provided, the same subscription id of the run will be used. | string | True | ||
endpoint_location | The location for the endpoint. Only required for the AOAI endpoint. If not provided, the same location of the run will be used. | string | True | ||
connections_name | The connections name. | string | True | ||
delete_managed_resources | If true, the managed resources created during the run will be deleted. | boolean | True | True | |
deployment_metadata_dir | The deployment metadata directory that contains deployment details. | uri_folder | True |
Name | Description | Type |
---|---|---|
output_metadata | Path to the folder where the deployment metadata will be stored. | uri_folder |
azureml://registries/azureml/environments/model-evaluation/labels/latest