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feat: Adds additional_experiments field to AutoMlTablesInputs feat: Adds additional_experiments field to AutoMlForecastingInputs feat: Adds two new ModelType constants for Video Action Recognition training jobs #443

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feat: Adds additional_experiments field to AutoMlTablesInputs feat: Adds additional_experiments field to AutoMlForecastingInputs feat: Adds two new ModelType constants for Video Action Recognition training jobs #443

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feat: Adds additional_experiments field to AutoMlTablesInputs feat: A…
gcf-owl-bot[bot] Jul 14, 2021
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gcf-owl-bot[bot] Jul 14, 2021
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682 changes: 682 additions & 0 deletions ...-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceClient.java
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69 changes: 69 additions & 0 deletions ...loud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PipelineServiceSettings.java
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Expand Up @@ -16,6 +16,7 @@

package com.google.cloud.aiplatform.v1;

import static com.google.cloud.aiplatform.v1.PipelineServiceClient.ListPipelineJobsPagedResponse;
import static com.google.cloud.aiplatform.v1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;

import com.google.api.core.ApiFunction;
Expand Down Expand Up @@ -111,6 +112,39 @@ public UnaryCallSettings<CancelTrainingPipelineRequest, Empty> cancelTrainingPip
return ((PipelineServiceStubSettings) getStubSettings()).cancelTrainingPipelineSettings();
}

/** Returns the object with the settings used for calls to createPipelineJob. */
public UnaryCallSettings<CreatePipelineJobRequest, PipelineJob> createPipelineJobSettings() {
return ((PipelineServiceStubSettings) getStubSettings()).createPipelineJobSettings();
}

/** Returns the object with the settings used for calls to getPipelineJob. */
public UnaryCallSettings<GetPipelineJobRequest, PipelineJob> getPipelineJobSettings() {
return ((PipelineServiceStubSettings) getStubSettings()).getPipelineJobSettings();
}

/** Returns the object with the settings used for calls to listPipelineJobs. */
public PagedCallSettings<
ListPipelineJobsRequest, ListPipelineJobsResponse, ListPipelineJobsPagedResponse>
listPipelineJobsSettings() {
return ((PipelineServiceStubSettings) getStubSettings()).listPipelineJobsSettings();
}

/** Returns the object with the settings used for calls to deletePipelineJob. */
public UnaryCallSettings<DeletePipelineJobRequest, Operation> deletePipelineJobSettings() {
return ((PipelineServiceStubSettings) getStubSettings()).deletePipelineJobSettings();
}

/** Returns the object with the settings used for calls to deletePipelineJob. */
public OperationCallSettings<DeletePipelineJobRequest, Empty, DeleteOperationMetadata>
deletePipelineJobOperationSettings() {
return ((PipelineServiceStubSettings) getStubSettings()).deletePipelineJobOperationSettings();
}

/** Returns the object with the settings used for calls to cancelPipelineJob. */
public UnaryCallSettings<CancelPipelineJobRequest, Empty> cancelPipelineJobSettings() {
return ((PipelineServiceStubSettings) getStubSettings()).cancelPipelineJobSettings();
}

public static final PipelineServiceSettings create(PipelineServiceStubSettings stub)
throws IOException {
return new PipelineServiceSettings.Builder(stub.toBuilder()).build();
Expand Down Expand Up @@ -249,6 +283,41 @@ public Builder applyToAllUnaryMethods(
return getStubSettingsBuilder().cancelTrainingPipelineSettings();
}

/** Returns the builder for the settings used for calls to createPipelineJob. */
public UnaryCallSettings.Builder<CreatePipelineJobRequest, PipelineJob>
createPipelineJobSettings() {
return getStubSettingsBuilder().createPipelineJobSettings();
}

/** Returns the builder for the settings used for calls to getPipelineJob. */
public UnaryCallSettings.Builder<GetPipelineJobRequest, PipelineJob> getPipelineJobSettings() {
return getStubSettingsBuilder().getPipelineJobSettings();
}

/** Returns the builder for the settings used for calls to listPipelineJobs. */
public PagedCallSettings.Builder<
ListPipelineJobsRequest, ListPipelineJobsResponse, ListPipelineJobsPagedResponse>
listPipelineJobsSettings() {
return getStubSettingsBuilder().listPipelineJobsSettings();
}

/** Returns the builder for the settings used for calls to deletePipelineJob. */
public UnaryCallSettings.Builder<DeletePipelineJobRequest, Operation>
deletePipelineJobSettings() {
return getStubSettingsBuilder().deletePipelineJobSettings();
}

/** Returns the builder for the settings used for calls to deletePipelineJob. */
public OperationCallSettings.Builder<DeletePipelineJobRequest, Empty, DeleteOperationMetadata>
deletePipelineJobOperationSettings() {
return getStubSettingsBuilder().deletePipelineJobOperationSettings();
}

/** Returns the builder for the settings used for calls to cancelPipelineJob. */
public UnaryCallSettings.Builder<CancelPipelineJobRequest, Empty> cancelPipelineJobSettings() {
return getStubSettingsBuilder().cancelPipelineJobSettings();
}

@Override
public PipelineServiceSettings build() throws IOException {
return new PipelineServiceSettings(this);
Expand Down
40 changes: 20 additions & 20 deletions ...loud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/PredictionServiceClient.java
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Expand Up @@ -37,9 +37,9 @@
* <pre>{@code
* try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
* EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
* List<Value> instances = new ArrayList<>();
* Value parameters = Value.newBuilder().build();
* PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
* List<Value> instances = new ArrayList<>();
* PredictResponse response = predictionServiceClient.predict(endpoint, parameters, instances);
* }
* }</pre>
*
Expand Down Expand Up @@ -154,14 +154,19 @@ public PredictionServiceStub getStub() {
* <pre>{@code
* try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
* EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
* List<Value> instances = new ArrayList<>();
* Value parameters = Value.newBuilder().build();
* PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
* List<Value> instances = new ArrayList<>();
* PredictResponse response = predictionServiceClient.predict(endpoint, parameters, instances);
* }
* }</pre>
*
* @param endpoint Required. The name of the Endpoint requested to serve the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param parameters The parameters that govern the prediction. The schema of the parameters may
* be specified via Endpoint's DeployedModels' [Model's
* ][google.cloud.aiplatform.v1.DeployedModel.model]
* [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
* [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
* @param instances Required. The instances that are the input to the prediction call. A
* DeployedModel may have an upper limit on the number of instances it supports per request,
* and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of
Expand All @@ -170,20 +175,15 @@ public PredictionServiceStub getStub() {
* [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
* [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
* [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
* @param parameters The parameters that govern the prediction. The schema of the parameters may
* be specified via Endpoint's DeployedModels' [Model's
* ][google.cloud.aiplatform.v1.DeployedModel.model]
* [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
* [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final PredictResponse predict(
EndpointName endpoint, List<Value> instances, Value parameters) {
EndpointName endpoint, Value parameters, List<Value> instances) {
PredictRequest request =
PredictRequest.newBuilder()
.setEndpoint(endpoint == null ? null : endpoint.toString())
.addAllInstances(instances)
.setParameters(parameters)
.addAllInstances(instances)
.build();
return predict(request);
}
Expand All @@ -197,14 +197,19 @@ public final PredictResponse predict(
* <pre>{@code
* try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
* String endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]").toString();
* List<Value> instances = new ArrayList<>();
* Value parameters = Value.newBuilder().build();
* PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
* List<Value> instances = new ArrayList<>();
* PredictResponse response = predictionServiceClient.predict(endpoint, parameters, instances);
* }
* }</pre>
*
* @param endpoint Required. The name of the Endpoint requested to serve the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param parameters The parameters that govern the prediction. The schema of the parameters may
* be specified via Endpoint's DeployedModels' [Model's
* ][google.cloud.aiplatform.v1.DeployedModel.model]
* [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
* [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
* @param instances Required. The instances that are the input to the prediction call. A
* DeployedModel may have an upper limit on the number of instances it supports per request,
* and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of
Expand All @@ -213,19 +218,14 @@ public final PredictResponse predict(
* [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
* [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
* [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
* @param parameters The parameters that govern the prediction. The schema of the parameters may
* be specified via Endpoint's DeployedModels' [Model's
* ][google.cloud.aiplatform.v1.DeployedModel.model]
* [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
* [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
*/
public final PredictResponse predict(String endpoint, List<Value> instances, Value parameters) {
public final PredictResponse predict(String endpoint, Value parameters, List<Value> instances) {
PredictRequest request =
PredictRequest.newBuilder()
.setEndpoint(endpoint)
.addAllInstances(instances)
.setParameters(parameters)
.addAllInstances(instances)
.build();
return predict(request);
}
Expand Down
15 changes: 15 additions & 0 deletions google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/gapic_metadata.json
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Expand Up @@ -202,18 +202,33 @@
"grpc": {
"libraryClient": "PipelineServiceClient",
"rpcs": {
"CancelPipelineJob": {
"methods": ["cancelPipelineJob", "cancelPipelineJob", "cancelPipelineJob", "cancelPipelineJobCallable"]
},
"CancelTrainingPipeline": {
"methods": ["cancelTrainingPipeline", "cancelTrainingPipeline", "cancelTrainingPipeline", "cancelTrainingPipelineCallable"]
},
"CreatePipelineJob": {
"methods": ["createPipelineJob", "createPipelineJob", "createPipelineJob", "createPipelineJobCallable"]
},
"CreateTrainingPipeline": {
"methods": ["createTrainingPipeline", "createTrainingPipeline", "createTrainingPipeline", "createTrainingPipelineCallable"]
},
"DeletePipelineJob": {
"methods": ["deletePipelineJobAsync", "deletePipelineJobAsync", "deletePipelineJobAsync", "deletePipelineJobOperationCallable", "deletePipelineJobCallable"]
},
"DeleteTrainingPipeline": {
"methods": ["deleteTrainingPipelineAsync", "deleteTrainingPipelineAsync", "deleteTrainingPipelineAsync", "deleteTrainingPipelineOperationCallable", "deleteTrainingPipelineCallable"]
},
"GetPipelineJob": {
"methods": ["getPipelineJob", "getPipelineJob", "getPipelineJob", "getPipelineJobCallable"]
},
"GetTrainingPipeline": {
"methods": ["getTrainingPipeline", "getTrainingPipeline", "getTrainingPipeline", "getTrainingPipelineCallable"]
},
"ListPipelineJobs": {
"methods": ["listPipelineJobs", "listPipelineJobs", "listPipelineJobs", "listPipelineJobsPagedCallable", "listPipelineJobsCallable"]
},
"ListTrainingPipelines": {
"methods": ["listTrainingPipelines", "listTrainingPipelines", "listTrainingPipelines", "listTrainingPipelinesPagedCallable", "listTrainingPipelinesCallable"]
}
Expand Down
4 changes: 2 additions & 2 deletions google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/package-info.java
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Expand Up @@ -109,9 +109,9 @@
* <pre>{@code
* try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create()) {
* EndpointName endpoint = EndpointName.of("[PROJECT]", "[LOCATION]", "[ENDPOINT]");
* List<Value> instances = new ArrayList<>();
* Value parameters = Value.newBuilder().build();
* PredictResponse response = predictionServiceClient.predict(endpoint, instances, parameters);
* List<Value> instances = new ArrayList<>();
* PredictResponse response = predictionServiceClient.predict(endpoint, parameters, instances);
* }
* }</pre>
*
Expand Down
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