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create_training_pipeline_custom_job_test.py
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create_training_pipeline_custom_job_test.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.
import create_training_pipeline_custom_job_sample
import test_constants as constants
def test_create_training_pipeline_custom_job_sample(
mock_sdk_init,
mock_image_dataset,
mock_get_image_dataset,
mock_get_custom_training_job,
mock_run_custom_training_job,
):
create_training_pipeline_custom_job_sample.create_training_pipeline_custom_job_sample(
project=constants.PROJECT,
location=constants.LOCATION,
staging_bucket=constants.STAGING_BUCKET,
display_name=constants.DISPLAY_NAME,
args=constants.ARGS,
script_path=constants.SCRIPT_PATH,
container_uri=constants.CONTAINER_URI,
model_serving_container_image_uri=constants.CONTAINER_URI,
dataset_id=constants.RESOURCE_ID,
model_display_name=constants.DISPLAY_NAME_2,
replica_count=constants.REPLICA_COUNT,
machine_type=constants.MACHINE_TYPE,
accelerator_type=constants.ACCELERATOR_TYPE,
accelerator_count=constants.ACCELERATOR_COUNT,
training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
test_fraction_split=constants.TEST_FRACTION_SPLIT,
)
mock_sdk_init.assert_called_once_with(
project=constants.PROJECT,
location=constants.LOCATION,
staging_bucket=constants.STAGING_BUCKET,
)
mock_get_custom_training_job.assert_called_once_with(
display_name=constants.DISPLAY_NAME,
script_path=constants.SCRIPT_PATH,
container_uri=constants.CONTAINER_URI,
model_serving_container_image_uri=constants.CONTAINER_URI,
)
mock_run_custom_training_job.assert_called_once_with(
dataset=mock_image_dataset,
model_display_name=constants.DISPLAY_NAME_2,
replica_count=constants.REPLICA_COUNT,
machine_type=constants.MACHINE_TYPE,
accelerator_type=constants.ACCELERATOR_TYPE,
accelerator_count=constants.ACCELERATOR_COUNT,
args=constants.ARGS,
training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
test_fraction_split=constants.TEST_FRACTION_SPLIT,
sync=True,
)