/
export_model_sample.py
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/
export_model_sample.py
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# Copyright 2020 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.
# [START aiplatform_export_model_sample]
from google.cloud import aiplatform
def export_model_sample(
project: str,
model_id: str,
gcs_destination_output_uri_prefix: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
timeout: int = 300,
):
# The AI Platform services require regional API endpoints.
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.ModelServiceClient(client_options=client_options)
output_config = {
"artifact_destination": {
"output_uri_prefix": gcs_destination_output_uri_prefix
},
# For information about export formats: https://cloud.google.com/ai-platform-unified/docs/export/export-edge-model#aiplatform_export_model_sample-drest
"export_format_id": "tf-saved-model",
}
name = client.model_path(project=project, location=location, model=model_id)
response = client.export_model(name=name, output_config=output_config)
print("Long running operation:", response.operation.name)
print("output_info:", response.metadata.output_info)
export_model_response = response.result(timeout=timeout)
print("export_model_response:", export_model_response)
# [END aiplatform_export_model_sample]