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chore: Add tensorboard to custom job samples.
PiperOrigin-RevId: 585763909
1 parent 4a71c8c commit 3f56ae7

6 files changed

+24
-0
lines changed

‎samples/model-builder/create_training_pipeline_custom_container_job_sample.py‎

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@@ -36,6 +36,8 @@ def create_training_pipeline_custom_container_job_sample(
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validation_fraction_split: float = 0.1,
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test_fraction_split: float = 0.1,
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sync: bool = True,
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tensorboard_resource_name: Optional[str] = None,
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service_account: Optional[str] = None,
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):
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aiplatform.init(project=project, location=location, staging_bucket=staging_bucket)
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@@ -60,6 +62,8 @@ def create_training_pipeline_custom_container_job_sample(
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validation_fraction_split=validation_fraction_split,
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test_fraction_split=test_fraction_split,
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sync=sync,
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tensorboard=tensorboard_resource_name,
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service_account=service_account,
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)
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model.wait()

‎samples/model-builder/create_training_pipeline_custom_container_job_test.py‎

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@@ -42,6 +42,8 @@ def test_create_training_pipeline_custom_container_job_sample(
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training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
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validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
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test_fraction_split=constants.TEST_FRACTION_SPLIT,
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tensorboard_resource_name=constants.TENSORBOARD_NAME,
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service_account=constants.SERVICE_ACCOUNT,
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)
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mock_sdk_init.assert_called_once_with(
@@ -67,4 +69,6 @@ def test_create_training_pipeline_custom_container_job_sample(
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validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
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test_fraction_split=constants.TEST_FRACTION_SPLIT,
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sync=True,
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tensorboard=constants.TENSORBOARD_NAME,
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service_account=constants.SERVICE_ACCOUNT,
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)

‎samples/model-builder/create_training_pipeline_custom_job_sample.py‎

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Original file line numberDiff line numberDiff line change
@@ -37,6 +37,8 @@ def create_training_pipeline_custom_job_sample(
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validation_fraction_split: float = 0.1,
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test_fraction_split: float = 0.1,
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sync: bool = True,
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tensorboard_resource_name: Optional[str] = None,
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service_account: Optional[str] = None,
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):
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aiplatform.init(project=project, location=location, staging_bucket=staging_bucket)
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@@ -62,6 +64,8 @@ def create_training_pipeline_custom_job_sample(
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validation_fraction_split=validation_fraction_split,
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test_fraction_split=test_fraction_split,
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sync=sync,
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tensorboard=tensorboard_resource_name,
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service_account=service_account,
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)
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model.wait()

‎samples/model-builder/create_training_pipeline_custom_job_test.py‎

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@@ -43,6 +43,8 @@ def test_create_training_pipeline_custom_job_sample(
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training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
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validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
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test_fraction_split=constants.TEST_FRACTION_SPLIT,
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tensorboard_resource_name=constants.TENSORBOARD_NAME,
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service_account=constants.SERVICE_ACCOUNT,
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)
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mock_sdk_init.assert_called_once_with(
@@ -68,4 +70,6 @@ def test_create_training_pipeline_custom_job_sample(
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validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
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test_fraction_split=constants.TEST_FRACTION_SPLIT,
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sync=True,
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tensorboard=constants.TENSORBOARD_NAME,
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service_account=constants.SERVICE_ACCOUNT,
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)

‎samples/model-builder/create_training_pipeline_custom_package_job_sample.py‎

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Original file line numberDiff line numberDiff line change
@@ -38,6 +38,8 @@ def create_training_pipeline_custom_package_job_sample(
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validation_fraction_split: float = 0.1,
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test_fraction_split: float = 0.1,
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sync: bool = True,
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tensorboard_resource_name: Optional[str] = None,
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service_account: Optional[str] = None,
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):
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aiplatform.init(project=project, location=location, staging_bucket=staging_bucket)
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@@ -64,6 +66,8 @@ def create_training_pipeline_custom_package_job_sample(
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validation_fraction_split=validation_fraction_split,
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test_fraction_split=test_fraction_split,
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sync=sync,
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tensorboard=tensorboard_resource_name,
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service_account=service_account,
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)
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model.wait()

‎samples/model-builder/create_training_pipeline_custom_package_job_test.py‎

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Original file line numberDiff line numberDiff line change
@@ -44,6 +44,8 @@ def test_create_training_pipeline_custom_package_job_sample(
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training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
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validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
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test_fraction_split=constants.TEST_FRACTION_SPLIT,
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tensorboard_resource_name=constants.TENSORBOARD_NAME,
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service_account=constants.SERVICE_ACCOUNT,
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)
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mock_sdk_init.assert_called_once_with(
@@ -72,4 +74,6 @@ def test_create_training_pipeline_custom_package_job_sample(
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validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
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test_fraction_split=constants.TEST_FRACTION_SPLIT,
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sync=True,
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tensorboard=constants.TENSORBOARD_NAME,
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service_account=constants.SERVICE_ACCOUNT,
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)

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