feat: add a DeploymentResourcePool API resource_definition

feat: add shared_resources for supported prediction_resources

PiperOrigin-RevId: 461971827

google/cloud/aiplatform/v1beta1/endpoint.proto

@@ -31,6 +31,10 @@ option java_outer_classname = "EndpointProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
 option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
 option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
+option (google.api.resource_definition) = {
+  type: "aiplatform.googleapis.com/DeploymentResourcePool"
+  pattern: "projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}"
+};
 
 // Models are deployed into it, and afterwards Endpoint is called to obtain
 // predictions and explanations.
@@ -146,6 +150,13 @@ message DeployedModel {
     // A description of resources that to large degree are decided by Vertex
     // AI, and require only a modest additional configuration.
     AutomaticResources automatic_resources = 8;
+
+    // The resource name of the shared DeploymentResourcePool to deploy on.
+    // Format:
+    // projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}
+    string shared_resources = 17 [(google.api.resource_reference) = {
+                                    type: "aiplatform.googleapis.com/DeploymentResourcePool"
+                                  }];
   }
 
   // Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI