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deploy_model_with_automatic_resources_sample.py
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deploy_model_with_automatic_resources_sample.py
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# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Dict, Optional, Sequence, Tuple
from google.cloud import aiplatform
# [START aiplatform_sdk_deploy_model_with_automatic_resources_sample]
def deploy_model_with_automatic_resources_sample(
project,
location,
model_name: str,
endpoint: Optional[aiplatform.Endpoint] = None,
deployed_model_display_name: Optional[str] = None,
traffic_percentage: Optional[int] = 0,
traffic_split: Optional[Dict[str, int]] = None,
min_replica_count: int = 1,
max_replica_count: int = 1,
metadata: Optional[Sequence[Tuple[str, str]]] = (),
sync: bool = True,
):
aiplatform.init(project=project, location=location)
model = aiplatform.Model(model_name=model_name)
model.deploy(
endpoint=endpoint,
deployed_model_display_name=deployed_model_display_name,
traffic_percentage=traffic_percentage,
traffic_split=traffic_split,
min_replica_count=min_replica_count,
max_replica_count=max_replica_count,
metadata=metadata,
sync=sync,
)
model.wait()
print(model.display_name)
print(model.resource_name)
return model
# [END aiplatform_sdk_deploy_model_with_automatic_resources_sample]