feat: add NVIDIA_L4 to AcceleratorType

packages/google-cloud-aiplatform/README.md

@@ -119,6 +119,7 @@ Samples are in the [`samples/`](https://github.com/googleapis/google-cloud-node/
 | Endpoint_service.deploy_model | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.deploy_model.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.deploy_model.js,samples/README.md) |
 | Endpoint_service.get_endpoint | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.get_endpoint.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.get_endpoint.js,samples/README.md) |
 | Endpoint_service.list_endpoints | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.list_endpoints.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.list_endpoints.js,samples/README.md) |
+| Endpoint_service.mutate_deployed_model | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.mutate_deployed_model.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.mutate_deployed_model.js,samples/README.md) |
 | Endpoint_service.undeploy_model | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.undeploy_model.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.undeploy_model.js,samples/README.md) |
 | Endpoint_service.update_endpoint | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.update_endpoint.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1/endpoint_service.update_endpoint.js,samples/README.md) |
 | Featurestore_online_serving_service.read_feature_values | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1/featurestore_online_serving_service.read_feature_values.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1/featurestore_online_serving_service.read_feature_values.js,samples/README.md) |
@@ -330,6 +331,7 @@ Samples are in the [`samples/`](https://github.com/googleapis/google-cloud-node/
 | Endpoint_service.deploy_model | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.deploy_model.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.deploy_model.js,samples/README.md) |
 | Endpoint_service.get_endpoint | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.get_endpoint.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.get_endpoint.js,samples/README.md) |
 | Endpoint_service.list_endpoints | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.list_endpoints.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.list_endpoints.js,samples/README.md) |
+| Endpoint_service.mutate_deployed_model | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.mutate_deployed_model.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.mutate_deployed_model.js,samples/README.md) |
 | Endpoint_service.undeploy_model | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.undeploy_model.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.undeploy_model.js,samples/README.md) |
 | Endpoint_service.update_endpoint | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.update_endpoint.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1beta1/endpoint_service.update_endpoint.js,samples/README.md) |
 | Featurestore_online_serving_service.read_feature_values | [source code](https://github.com/googleapis/google-cloud-node/blob/main/packages/google-cloud-aiplatform/samples/generated/v1beta1/featurestore_online_serving_service.read_feature_values.js) | [![Open in Cloud Shell][shell_img]](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/googleapis/google-cloud-node&page=editor&open_in_editor=packages/google-cloud-aiplatform/samples/generated/v1beta1/featurestore_online_serving_service.read_feature_values.js,samples/README.md) |

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/accelerator_type.proto

@@ -47,6 +47,9 @@ enum AcceleratorType {
   // Nvidia Tesla A100 GPU.
   NVIDIA_TESLA_A100 = 8;
 
+  // Nvidia L4 GPU.
+  NVIDIA_L4 = 11;
+
   // TPU v2.
   TPU_V2 = 6;
 

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/batch_prediction_job.proto

@@ -446,9 +446,9 @@ message BatchPredictionJob {
 
   // For custom-trained Models and AutoML Tabular Models, the container of the
   // DeployedModel instances will send `stderr` and `stdout` streams to
-  // Stackdriver Logging by default. Please note that the logs incur cost,
+  // Cloud Logging by default. Please note that the logs incur cost,
   // which are subject to [Cloud Logging
-  // pricing](https://cloud.google.com/stackdriver/pricing).
+  // pricing](https://cloud.google.com/logging/pricing).
   //
   // User can disable container logging by setting this flag to true.
   bool disable_container_logging = 34;

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/custom_job.proto

@@ -216,6 +216,26 @@ message CustomJobSpec {
   // (within
   // [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
   bool enable_dashboard_access = 16 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. The Experiment associated with this job.
+  // Format:
+  // `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
+  string experiment = 17 [
+    (google.api.field_behavior) = OPTIONAL,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Context"
+    }
+  ];
+
+  // Optional. The Experiment Run associated with this job.
+  // Format:
+  // `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
+  string experiment_run = 18 [
+    (google.api.field_behavior) = OPTIONAL,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Context"
+    }
+  ];
 }
 
 // Represents the spec of a worker pool in a job.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/dataset.proto

@@ -90,7 +90,7 @@ message Dataset {
   map<string, string> labels = 7;
 
   // All SavedQueries belong to the Dataset will be returned in List/Get
-  // Dataset response. The [annotation_specs][SavedQuery.annotation_specs] field
+  // Dataset response. The annotation_specs field
   // will not be populated except for UI cases which will only use
   // [annotation_spec_count][google.cloud.aiplatform.v1.SavedQuery.annotation_spec_count].
   // In CreateDataset request, a SavedQuery is created together if
@@ -176,9 +176,9 @@ message ExportDataConfig {
     ExportFractionSplit fraction_split = 5;
   }
 
-  // A filter on Annotations of the Dataset. Only Annotations on to-be-exported
-  // DataItems(specified by [data_items_filter][]) that match this filter will
-  // be exported. The filter syntax is the same as in
+  // An expression for filtering what part of the Dataset is to be exported.
+  // Only Annotations that match this filter will be exported. The filter syntax
+  // is the same as in
   // [ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
   string annotations_filter = 2;
 }

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/endpoint.proto

@@ -38,6 +38,7 @@ message Endpoint {
   option (google.api.resource) = {
     type: "aiplatform.googleapis.com/Endpoint"
     pattern: "projects/{project}/locations/{location}/endpoints/{endpoint}"
+    pattern: "projects/{project}/locations/{location}/publishers/{publisher}/models/{model}"
   };
 
   // Output only. The resource name of the Endpoint.
@@ -127,7 +128,8 @@ message Endpoint {
 
   // Output only. Resource name of the Model Monitoring job associated with this
   // Endpoint if monitoring is enabled by
-  // [CreateModelDeploymentMonitoringJob][]. Format:
+  // [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
+  // Format:
   // `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
   string model_deployment_monitoring_job = 14 [
     (google.api.field_behavior) = OUTPUT_ONLY,
@@ -223,19 +225,19 @@ message DeployedModel {
 
   // For custom-trained Models and AutoML Tabular Models, the container of the
   // DeployedModel instances will send `stderr` and `stdout` streams to
-  // Stackdriver Logging by default. Please note that the logs incur cost,
+  // Cloud Logging by default. Please note that the logs incur cost,
   // which are subject to [Cloud Logging
-  // pricing](https://cloud.google.com/stackdriver/pricing).
+  // pricing](https://cloud.google.com/logging/pricing).
   //
   // User can disable container logging by setting this flag to true.
   bool disable_container_logging = 15;
 
-  // If true, online prediction access logs are sent to StackDriver
+  // If true, online prediction access logs are sent to Cloud
   // Logging.
   // These logs are like standard server access logs, containing
   // information like timestamp and latency for each prediction request.
   //
-  // Note that Stackdriver logs may incur a cost, especially if your project
+  // Note that logs may incur a cost, especially if your project
   // receives prediction requests at a high queries per second rate (QPS).
   // Estimate your costs before enabling this option.
   bool enable_access_logging = 13;

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/endpoint_service.proto

@@ -122,6 +122,24 @@ service EndpointService {
       metadata_type: "UndeployModelOperationMetadata"
     };
   }
+
+  // Updates an existing deployed model. Updatable fields include
+  // `min_replica_count`, `max_replica_count`, `autoscaling_metric_specs`,
+  // `disable_container_logging` (v1 only), and `enable_container_logging`
+  // (v1beta1 only).
+  rpc MutateDeployedModel(MutateDeployedModelRequest)
+      returns (google.longrunning.Operation) {
+    option (google.api.http) = {
+      post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:mutateDeployedModel"
+      body: "*"
+    };
+    option (google.api.method_signature) =
+        "endpoint,deployed_model,update_mask";
+    option (google.longrunning.operation_info) = {
+      response_type: "MutateDeployedModelResponse"
+      metadata_type: "MutateDeployedModelOperationMetadata"
+    };
+  }
 }
 
 // Request message for
@@ -358,3 +376,50 @@ message UndeployModelOperationMetadata {
   // The operation generic information.
   GenericOperationMetadata generic_metadata = 1;
 }
+
+// Request message for
+// [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
+message MutateDeployedModelRequest {
+  // Required. The name of the Endpoint resource into which to mutate a
+  // DeployedModel. Format:
+  // `projects/{project}/locations/{location}/endpoints/{endpoint}`
+  string endpoint = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Endpoint"
+    }
+  ];
+
+  // Required. The DeployedModel to be mutated within the Endpoint. Only the
+  // following fields can be mutated:
+  //
+  // * `min_replica_count` in either
+  // [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
+  // [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
+  // * `max_replica_count` in either
+  // [DedicatedResources][google.cloud.aiplatform.v1.DedicatedResources] or
+  // [AutomaticResources][google.cloud.aiplatform.v1.AutomaticResources]
+  // * [autoscaling_metric_specs][google.cloud.aiplatform.v1.DedicatedResources.autoscaling_metric_specs]
+  // * `disable_container_logging` (v1 only)
+  // * `enable_container_logging` (v1beta1 only)
+  DeployedModel deployed_model = 2 [(google.api.field_behavior) = REQUIRED];
+
+  // Required. The update mask applies to the resource. See
+  // [google.protobuf.FieldMask][google.protobuf.FieldMask].
+  google.protobuf.FieldMask update_mask = 4
+      [(google.api.field_behavior) = REQUIRED];
+}
+
+// Response message for
+// [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
+message MutateDeployedModelResponse {
+  // The DeployedModel that's being mutated.
+  DeployedModel deployed_model = 1;
+}
+
+// Runtime operation information for
+// [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
+message MutateDeployedModelOperationMetadata {
+  // The operation generic information.
+  GenericOperationMetadata generic_metadata = 1;
+}

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/entity_type.proto

@@ -88,4 +88,11 @@ message EntityType {
   // disabled.
   FeaturestoreMonitoringConfig monitoring_config = 8
       [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. Config for data retention policy in offline storage.
+  // TTL in days for feature values that will be stored in offline storage.
+  // The Feature Store offline storage periodically removes obsolete feature
+  // values older than `offline_storage_ttl_days` since the feature generation
+  // time. If unset (or explicitly set to 0), default to 4000 days TTL.
+  int32 offline_storage_ttl_days = 10 [(google.api.field_behavior) = OPTIONAL];
 }

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/evaluated_annotation.proto

@@ -103,10 +103,6 @@ message EvaluatedAnnotation {
   // ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
   // and predictions on
   // [data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
-  //
-  // Can be passed in
-  // [GetEvaluatedDataItemView's][ModelService.GetEvaluatedDataItemView][]
-  // [id][GetEvaluatedDataItemViewRequest.id].
   string evaluated_data_item_view_id = 6
       [(google.api.field_behavior) = OUTPUT_ONLY];
 

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/explanation.proto

@@ -420,8 +420,8 @@ message BlurBaselineConfig {
 // explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
 message ExplanationSpecOverride {
   // The parameters to be overridden. Note that the
-  // [method][google.cloud.aiplatform.v1.ExplanationParameters.method] cannot be
-  // changed. If not specified, no parameter is overridden.
+  // attribution method cannot be changed. If not specified,
+  // no parameter is overridden.
   ExplanationParameters parameters = 1;
 
   // The metadata to be overridden. If not specified, no metadata is overridden.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/feature.proto

@@ -38,10 +38,11 @@ message Feature {
     pattern: "projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}"
   };
 
-  // A list of historical [Snapshot
-  // Analysis][FeaturestoreMonitoringConfig.SnapshotAnalysis] or [Import Feature
-  // Analysis] [FeaturestoreMonitoringConfig.ImportFeatureAnalysis] stats
-  // requested by user, sorted by
+  // A list of historical
+  // [SnapshotAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis]
+  // or
+  // [ImportFeaturesAnalysis][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis]
+  // stats requested by user, sorted by
   // [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1.FeatureStatsAnomaly.start_time]
   // descending.
   message MonitoringStatsAnomaly {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/featurestore.proto

@@ -138,6 +138,14 @@ message Featurestore {
   // Output only. State of the featurestore.
   State state = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
 
+  // Optional. TTL in days for feature values that will be stored in online
+  // serving storage. The Feature Store online storage periodically removes
+  // obsolete feature values older than `online_storage_ttl_days` since the
+  // feature generation time. Note that `online_storage_ttl_days` should be less
+  // than or equal to `offline_storage_ttl_days` for each EntityType under a
+  // featurestore. If not set, default to 4000 days
+  int32 online_storage_ttl_days = 13 [(google.api.field_behavior) = OPTIONAL];
+
   // Optional. Customer-managed encryption key spec for data storage. If set,
   // both of the online and offline data storage will be secured by this key.
   EncryptionSpec encryption_spec = 10 [(google.api.field_behavior) = OPTIONAL];

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/featurestore_online_service.proto

@@ -162,7 +162,7 @@ message ReadFeatureValuesResponse {
     }];
 
     // List of Feature metadata corresponding to each piece of
-    // [ReadFeatureValuesResponse.data][].
+    // [ReadFeatureValuesResponse.EntityView.data][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.data].
     repeated FeatureDescriptor feature_descriptors = 2;
   }
 

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/featurestore_service.proto

@@ -464,7 +464,7 @@ message UpdateFeaturestoreRequest {
   //   * `labels`
   //   * `online_serving_config.fixed_node_count`
   //   * `online_serving_config.scaling`
-  //   * `online_storage_ttl_days` (available in Preview)
+  //   * `online_storage_ttl_days`
   google.protobuf.FieldMask update_mask = 2;
 }
 
@@ -927,7 +927,7 @@ message UpdateEntityTypeRequest {
   //   * `monitoring_config.import_features_analysis.anomaly_detection_baseline`
   //   * `monitoring_config.numerical_threshold_config.value`
   //   * `monitoring_config.categorical_threshold_config.value`
-  //   * `offline_storage_ttl_days` (available in Preview)
+  //   * `offline_storage_ttl_days`
   google.protobuf.FieldMask update_mask = 2;
 }