Resource Manager for batch inference.

Version: 0.0.6

View in Studio: https://ml.azure.com/registries/azureml/components/batch_resource_manager/version/0.0.6

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_type	Model name or model asset path. Only needed for managed deployment.	string		True	['oss', 'oai']
model_version	Model version. If model asset path provided, this one can be optional.	string		True
is_finetuned_model	If the model is a finetuned model.	boolean	False	True
finetuned_subscription_id	The subscription id for the finetuned model.	string		True
finetuned_resource_group	The resource group for the finetuned model.	string		True
finetuned_workspace	The workspace name for the finetuned model.	string		True
deployment_sku	The sku for the deployment. Only needed for managed deployment.	string		True
deployment_env	The env for the 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
deletion_model	If true, the managed resources created during the run will be deleted.	boolean	True	True
do_quota_validation	If doing quota valiation or not for AOAI model.	boolean	True	True
redeploy_model	If deploying the same model for OSS endpoint.	boolean	False	True
use_max_quota	If using max quota or not for AOAI model.	boolean	True	True
deployment_metadata	The deployment metadata directory that contains deployment details.	uri_file		True
finetuned_model_metadata	The finetuned_model metadata contains finetuned model id.	uri_file		True
additional_deployment_env_vars	additional deployment env vars	string		True
delete_managed_deployment	If deleting the managed deployment.	boolean	True	True
deployment_retries	The number of retries for deployment.	integer	1	True
deployment_retry_interval_seconds	The interval seconds for deployment retry.	integer	60	True
wait_finetuned_step	If waiting the finetuned step to finish.	boolean	False	True
finetuned_step_name	The finetuned step name.	string		True

Name	Description	Type
output_metadata	Path to the folder where the deployment metadata will be stored.	uri_file

azureml://registries/azureml/environments/model-evaluation/versions/35