googleapis · vinnysenthil · May 12, 2021 · Apr 7, 2021 · Apr 7, 2021 · Apr 7, 2021
@@ -0,0 +1,54 @@
+# 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 google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_automl_image_classification_training_job_sample]
+def automl_image_classification_training_job_sample(
+    project: str, location: str, dataset_id: str, display_name: str,
+):
+    aiplatform.init(project=project, location=location)
+
+    dataset = aiplatform.ImageDataset(dataset_id)
+
+    job = aiplatform.AutoMLImageTrainingJob(
+        display_name=display_name,
+        prediction_type="classification",
+        multi_label=False,
+        model_type="CLOUD",
+        base_model=None,
+    )
+
+    model = job.run(
+        dataset=dataset,
+        model_display_name=display_name,
+        training_fraction_split=0.6,
+        validation_fraction_split=0.2,
+        test_fraction_split=0.2,
+        budget_milli_node_hours=8000,
+        disable_early_stopping=False,
+    )
+
+    print(model.display_name)
+    print(model.name)
+    print(model.resource_name)
+    print(model.description)
+    print(model.uri)
+
+    return model
+
+
+#  [END aiplatform_sdk_automl_image_classification_training_job_sample]
@@ -0,0 +1,56 @@
+# 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 automl_image_classification_training_job_sample
+import test_constants as constants
+
+
+def test_automl_image_classification_training_job_sample(
+    mock_sdk_init,
+    mock_image_dataset,
+    mock_get_image_dataset,
+    mock_get_automl_image_training_job,
+    mock_run_automl_image_training_job,
+):
+    automl_image_classification_training_job_sample.automl_image_classification_training_job_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        dataset_id=constants.DATASET_NAME,
+        display_name=constants.DISPLAY_NAME,
+    )
+
+    mock_get_image_dataset.assert_called_once_with(constants.DATASET_NAME)
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_get_automl_image_training_job.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME,
+        base_model=None,
+        model_type="CLOUD",
+        multi_label=False,
+        prediction_type="classification",
+    )
+
+    mock_run_automl_image_training_job.assert_called_once_with(
+        budget_milli_node_hours=8000,
+        disable_early_stopping=False,
+        test_fraction_split=0.2,
+        training_fraction_split=0.6,
+        validation_fraction_split=0.2,
+        model_display_name=constants.DISPLAY_NAME,
+        dataset=mock_image_dataset,
+    )
@@ -124,6 +124,18 @@ def mock_create_video_dataset(mock_video_dataset):
 """Mocks for SomeDataset.import_data() """
 
 
+@pytest.fixture
+def mock_import_image_dataset(mock_image_dataset):
+    with patch.object(mock_image_dataset, "import_data") as mock:
+        yield mock
+
+
+@pytest.fixture
+def mock_import_tabular_dataset(mock_tabular_dataset):
+    with patch.object(mock_tabular_dataset, "import_data") as mock:
+        yield mock
+
+
 @pytest.fixture
 def mock_import_text_dataset(mock_text_dataset):
     with patch.object(mock_text_dataset, "import_data") as mock:
@@ -327,6 +339,13 @@ def mock_get_endpoint(mock_endpoint):
         yield mock_get_endpoint
 
 
+@pytest.fixture
+def mock_endpoint_predict(mock_endpoint):
+    with patch.object(mock_endpoint, "predict") as mock:
+        mock.return_value = []
+        yield mock
+
+
 @pytest.fixture
 def mock_endpoint_explain(mock_endpoint):
     with patch.object(mock_endpoint, "explain") as mock_endpoint_explain:

@@ -0,0 +1,49 @@
+# 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 google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_custom_training_job_sample]
+def custom_training_job_sample(
+    project: str,
+    location: str,
+    bucket: str,
+    display_name: str,
+    script_path: str,
+    script_args: str,
+    container_uri: str,
+    model_serving_container_image_uri: str,
+    requirements: str,
+    replica_count: int,
+):
+    aiplatform.init(project=project, location=location, staging_bucket=bucket)
+
+    job = aiplatform.CustomTrainingJob(
+        display_name=display_name,
+        script_path=script_path,
+        container_uri=container_uri,
+        requirements=requirements,
+        model_serving_container_image_uri=model_serving_container_image_uri,
+    )
+
+    model = job.run(
+        args=script_args, replica_count=replica_count, model_display_name=display_name
+    )
+
+    return model
+
+
+#  [END aiplatform_sdk_custom_training_job_sample]
@@ -0,0 +1,50 @@
+# 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 custom_training_job_sample
+import test_constants as constants
+
+
+def test_custom_training_job_sample(
+    mock_sdk_init, mock_get_custom_training_job, mock_run_custom_training_job
+):
+    custom_training_job_sample.custom_training_job_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        bucket=constants.STAGING_BUCKET,
+        display_name=constants.DISPLAY_NAME,
+        script_path=constants.PYTHON_PACKAGE,
+        script_args=constants.PYTHON_PACKAGE_CMDARGS,
+        container_uri=constants.TRAIN_IMAGE,
+        model_serving_container_image_uri=constants.DEPLOY_IMAGE,
+        requirements=[],
+        replica_count=1,
+    )
+
+    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,
+        container_uri=constants.TRAIN_IMAGE,
+        model_serving_container_image_uri=constants.DEPLOY_IMAGE,
+        requirements=[],
+        script_path=constants.PYTHON_PACKAGE,
+    )
+
+    mock_run_custom_training_job.assert_called_once()
@@ -0,0 +1,32 @@
+# 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 google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_endpoint_predict_sample]
+def endpoint_predict_sample(
+    project: str, location: str, instances: list, endpoint: str
+):
+    aiplatform.init(project=project, location=location)
+
+    endpoint = aiplatform.Endpoint(endpoint)
+
+    prediction = endpoint.predict(instances=instances)
+    print(prediction)
+    return prediction
+
+
+#  [END aiplatform_sdk_endpoint_predict_sample]
@@ -0,0 +1,37 @@
+# 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 endpoint_predict_sample
+import test_constants as constants
+
+
+def test_endpoint_predict_sample(
+    mock_sdk_init, mock_endpoint_predict, mock_get_endpoint
+):
+
+    endpoint_predict_sample.endpoint_predict_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        instances=[],
+        endpoint=constants.ENDPOINT_NAME,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_get_endpoint.assert_called_once_with(constants.ENDPOINT_NAME)
+
+    mock_endpoint_predict.assert_called_once_with(instances=[])
@@ -0,0 +1,38 @@
+# 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 google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_image_dataset_create_classification_sample]
+def image_dataset_create_classification_sample(
+    project: str, location: str, display_name: str, src_uris: list
+):
+    aiplatform.init(project=project, location=location)
+
+    ds = aiplatform.ImageDataset.create(
+        display_name=display_name,
+        gcs_source=src_uris,
+        import_schema_uri=aiplatform.schema.dataset.ioformat.image.single_label_classification,
+    )
+
+    print(ds.display_name)
+    print(ds.name)
+    print(ds.resource_name)
+    print(ds.metadata_schema_uri)
+    return ds
+
+
+#  [END aiplatform_sdk_image_dataset_create_classification_sample]
@@ -0,0 +1,40 @@
+# 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 google.cloud.aiplatform import schema
+
+import image_dataset_create_classification_sample
+
+import test_constants as constants
+
+
+def test_image_dataset_create_classification_sample(
+    mock_sdk_init, mock_create_image_dataset
+):
+    image_dataset_create_classification_sample.image_dataset_create_classification_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        src_uris=constants.GCS_SOURCES,
+        display_name=constants.DISPLAY_NAME,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_create_image_dataset.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME,
+        gcs_source=constants.GCS_SOURCES,
+        import_schema_uri=schema.dataset.ioformat.image.single_label_classification,
+    )