proto: add tensorboard_resource_name + tensorboard_experiment_name

proto/snapchat/research/gbml/gigl_resource_config.proto

@@ -130,6 +130,22 @@ message VertexAiResourceConfig {
   // Compute Engine reservation affinity for the job.
   // See https://docs.cloud.google.com/vertex-ai/docs/training/use-reservations
   VertexAiReservationAffinity reservation_affinity = 9;
+
+  // Existing Vertex AI TensorBoard resource the job's chief rank streams
+  // TensorBoard events to.
+  // Format: projects/{project}/locations/{region}/tensorboards/{tensorboard_id}
+  // See https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-overview
+  // for the Tensorboard data model.
+  // Must be set together with tensorboard_experiment_name (or both unset).
+  string tensorboard_resource_name = 10;
+
+  // Optional. Stable Vertex AI TensorboardExperiment name. Multiple jobs
+  // that share this value land in the same TensorboardExperiment, so they
+  // appear as comparable runs on one TensorBoard page. Allowed characters:
+  // lowercase letters, digits, hyphens (Vertex AI Experiment ID rules).
+  // Must be set together with tensorboard_resource_name (or both unset).
+  // See https://cloud.google.com/vertex-ai/docs/experiments/tensorboard-overview.
+  string tensorboard_experiment_name = 11;
  }
 
  // Configuration for KFP job resources

proto/snapchat/research/gbml/trained_model_metadata.proto

@@ -9,6 +9,9 @@ message TrainedModelMetadata{
   string scripted_model_uri = 2;
   // The path where evaluation metrics are stored
   string eval_metrics_uri = 3;
-  // Path where tensorboard logs will be stored
+  // Path where tensorboard logs will be stored. Vertex AI maps this URI to
+  // ``AIP_TENSORBOARD_LOG_DIR`` inside trainer containers via
+  // ``CustomJobSpec.baseOutputDirectory``. See
+  // https://cloud.google.com/vertex-ai/docs/reference/rest/v1/CustomJobSpec.
   string tensorboard_logs_uri = 4;
 }

scala/common/src/main/scala/snapchat/research/gbml/gigl_resource_config/GiglResourceConfigProto.scala

@@ -48,82 +48,85 @@ object GiglResourceConfigProto extends _root_.scalapb.GeneratedFileObject {
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       ).mkString)
   lazy val scalaDescriptor: _root_.scalapb.descriptors.FileDescriptor = {
     val scalaProto = com.google.protobuf.descriptor.FileDescriptorProto.parseFrom(ProtoBytes)