def _GetModelDeploymentResourceType(model_ref, client):
"""Gets the deployment resource type of a model.
Each model resource belongs to exactly one supported deployment resource type.
The value is the first item in the list, the length of which must be one.
Args:
model_ref: a model resource object.
client: an apis.GetClientInstance object.
Returns:
A string which value must be 'DEDICATED_RESOURCES' or 'AUTOMATIC_RESOURCES'.
Raises:
ArgumentError: if the model resource object is not found.
"""
try:
model_msg = model_client.ModelsClient(client=client).Get(model_ref)
except apitools_exceptions.HttpError:
raise errors.ArgumentError(
('There is an error while getting the model information. '
'Please make sure the model %r exists.' %
model_ref.RelativeName()))
model_resource = encoding.MessageToPyValue(model_msg)
return model_resource['supportedDeploymentResourcesTypes'][0]
def Run(self, args):
region_ref = args.CONCEPTS.region.Parse()
region = region_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.GA_VERSION, region=region):
client_instance = apis.GetClientInstance(
constants.AI_PLATFORM_API_NAME,
constants.AI_PLATFORM_API_VERSION[constants.GA_VERSION])
operation = client.ModelsClient(
client=client_instance,
messages=client_instance.MESSAGES_MODULE).UploadV1(
region_ref,
args.display_name,
args.description,
args.artifact_uri,
args.container_image_uri,
args.container_command,
args.container_args,
args.container_env_vars,
args.container_ports,
args.container_predict_route,
args.container_health_route,
explanation_spec=self._BuildExplanationSpec(args))
return operations_util.WaitForOpMaybe(
operations_client=operations.OperationsClient(
client=client_instance, messages=client_instance.MESSAGES_MODULE),
op=operation,
op_ref=models_util.ParseModelOperation(operation.name))
def _Run(self, args):
model_ref = args.CONCEPTS.model.Parse()
region = model_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.BETA_VERSION, region=region):
response = client.ModelsClient().Get(model_ref)
return response
def __init__(self, *args, **kwargs):
super(UploadV1, self).__init__(*args, **kwargs)
client_instance = apis.GetClientInstance(
constants.AI_PLATFORM_API_NAME,
constants.AI_PLATFORM_API_VERSION[constants.GA_VERSION])
self.messages = client.ModelsClient(
client=client_instance,
messages=client_instance.MESSAGES_MODULE).messages
def _Run(self, args, model_ref, region):
with endpoint_util.AiplatformEndpointOverrides(
version=constants.BETA_VERSION, region=region):
operation = client.ModelsClient().Delete(model_ref)
return operations_util.WaitForOpMaybe(
operations_client=operations.OperationsClient(),
op=operation,
op_ref=models_util.ParseModelOperation(operation.name))
def _Run(self, args, model_ref, region):
with endpoint_util.AiplatformEndpointOverrides(
version=constants.GA_VERSION, region=region):
client_instance = apis.GetClientInstance(
constants.AI_PLATFORM_API_NAME,
constants.AI_PLATFORM_API_VERSION[constants.GA_VERSION])
return client.ModelsClient(
client=client_instance,
messages=client_instance.MESSAGES_MODULE).Delete(model_ref)
def _Run(self, args):
model_ref = args.CONCEPTS.model.Parse()
region = model_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.BETA_VERSION, region=region):
operation = client.ModelsClient().Delete(model_ref)
return operations_util.WaitForOpMaybe(
operations_client=operations.OperationsClient(),
op=operation,
op_ref=models_util.ParseModelOperation(operation.name))
def Run(self, args):
region_ref = args.CONCEPTS.region.Parse()
region = region_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.BETA_VERSION, region=region):
operation = client.ModelsClient().UploadV1Beta1(
region_ref, args.display_name, args.description,
args.artifact_uri, args.container_image_uri,
args.container_command, args.container_args,
args.container_env_vars, args.container_ports,
args.container_predict_route, args.container_health_route)
return operations_util.WaitForOpMaybe(
operations_client=operations.OperationsClient(),
op=operation,
op_ref=models_util.ParseModelOperation(operation.name))
def __init__(self, *args, **kwargs): super(UploadV1Beta1, self).__init__(*args, **kwargs) self.messages = client.ModelsClient().messages
def _Run(self, args, region_ref, region):
with endpoint_util.AiplatformEndpointOverrides(
version=constants.BETA_VERSION, region=region):
return client.ModelsClient().List(region_ref=region_ref)
def _Run(self, args):
region_ref = args.CONCEPTS.region.Parse()
region = region_ref.AsDict()['locationsId']
with endpoint_util.AiplatformEndpointOverrides(
version=constants.BETA_VERSION, region=region):
return client.ModelsClient().List(region_ref=region_ref)
def _Run(self, args, model_ref, region):
with endpoint_util.AiplatformEndpointOverrides(
version=constants.BETA_VERSION, region=region):
response = client.ModelsClient().Get(model_ref)
return response
