aiplatform/apiv1beta1/aiplatformpb/tensorboard_service.pb.go - third_party/github.com/googleapis/google-cloud-go - Git at Google

 // Copyright 2024 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
 //
 //     http://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.

 // Code generated by protoc-gen-go. DO NOT EDIT.
 // versions:
 // 	protoc-gen-go v1.34.1
 // 	protoc        v4.25.3
 // source: google/cloud/aiplatform/v1beta1/tensorboard_service.proto

 package aiplatformpb

 import (
 	context "context"
 	reflect "reflect"
 	sync "sync"

 	longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
 	_ "google.golang.org/genproto/googleapis/api/annotations"
 	grpc "google.golang.org/grpc"
 	codes "google.golang.org/grpc/codes"
 	status "google.golang.org/grpc/status"
 	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
 	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
 	_ "google.golang.org/protobuf/types/known/emptypb"
 	fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb"
 )

 const (
 	// Verify that this generated code is sufficiently up-to-date.
 	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
 	// Verify that runtime/protoimpl is sufficiently up-to-date.
 	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
 )

 // Request message for
 // [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].
 type CreateTensorboardRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the Location to create the Tensorboard in.
 	// Format: `projects/{project}/locations/{location}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Required. The Tensorboard to create.
 	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
 }

 func (x *CreateTensorboardRequest) Reset() {
 	*x = CreateTensorboardRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[0]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *CreateTensorboardRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*CreateTensorboardRequest) ProtoMessage() {}

 func (x *CreateTensorboardRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[0]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use CreateTensorboardRequest.ProtoReflect.Descriptor instead.
 func (*CreateTensorboardRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{0}
 }

 func (x *CreateTensorboardRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *CreateTensorboardRequest) GetTensorboard() *Tensorboard {
 	if x != nil {
 		return x.Tensorboard
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].
 type GetTensorboardRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the Tensorboard resource.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *GetTensorboardRequest) Reset() {
 	*x = GetTensorboardRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[1]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *GetTensorboardRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*GetTensorboardRequest) ProtoMessage() {}

 func (x *GetTensorboardRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[1]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use GetTensorboardRequest.ProtoReflect.Descriptor instead.
 func (*GetTensorboardRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{1}
 }

 func (x *GetTensorboardRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
 type ListTensorboardsRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the Location to list Tensorboards.
 	// Format:
 	// `projects/{project}/locations/{location}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Lists the Tensorboards that match the filter expression.
 	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
 	// The maximum number of Tensorboards to return. The service may return
 	// fewer than this value. If unspecified, at most 100 Tensorboards are
 	// returned. The maximum value is 100; values above 100 are coerced to
 	// 100.
 	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
 	// A page token, received from a previous
 	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
 	// call. Provide this to retrieve the subsequent page.
 	//
 	// When paginating, all other parameters provided to
 	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards]
 	// must match the call that provided the page token.
 	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
 	// Field to use to sort the list.
 	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
 	// Mask specifying which fields to read.
 	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
 }

 func (x *ListTensorboardsRequest) Reset() {
 	*x = ListTensorboardsRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[2]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardsRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardsRequest) ProtoMessage() {}

 func (x *ListTensorboardsRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[2]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardsRequest.ProtoReflect.Descriptor instead.
 func (*ListTensorboardsRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{2}
 }

 func (x *ListTensorboardsRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *ListTensorboardsRequest) GetFilter() string {
 	if x != nil {
 		return x.Filter
 	}
 	return ""
 }

 func (x *ListTensorboardsRequest) GetPageSize() int32 {
 	if x != nil {
 		return x.PageSize
 	}
 	return 0
 }

 func (x *ListTensorboardsRequest) GetPageToken() string {
 	if x != nil {
 		return x.PageToken
 	}
 	return ""
 }

 func (x *ListTensorboardsRequest) GetOrderBy() string {
 	if x != nil {
 		return x.OrderBy
 	}
 	return ""
 }

 func (x *ListTensorboardsRequest) GetReadMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.ReadMask
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].
 type ListTensorboardsResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The Tensorboards mathching the request.
 	Tensorboards []*Tensorboard `protobuf:"bytes,1,rep,name=tensorboards,proto3" json:"tensorboards,omitempty"`
 	// A token, which can be sent as
 	// [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
 	// to retrieve the next page. If this field is omitted, there are no
 	// subsequent pages.
 	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
 }

 func (x *ListTensorboardsResponse) Reset() {
 	*x = ListTensorboardsResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[3]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardsResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardsResponse) ProtoMessage() {}

 func (x *ListTensorboardsResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[3]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardsResponse.ProtoReflect.Descriptor instead.
 func (*ListTensorboardsResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{3}
 }

 func (x *ListTensorboardsResponse) GetTensorboards() []*Tensorboard {
 	if x != nil {
 		return x.Tensorboards
 	}
 	return nil
 }

 func (x *ListTensorboardsResponse) GetNextPageToken() string {
 	if x != nil {
 		return x.NextPageToken
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].
 type UpdateTensorboardRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. Field mask is used to specify the fields to be overwritten in the
 	// Tensorboard resource by the update.
 	// The fields specified in the update_mask are relative to the resource, not
 	// the full request. A field is overwritten if it's in the mask. If the
 	// user does not provide a mask then all fields are overwritten if new
 	// values are specified.
 	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
 	// Required. The Tensorboard's `name` field is used to identify the
 	// Tensorboard to be updated. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
 }

 func (x *UpdateTensorboardRequest) Reset() {
 	*x = UpdateTensorboardRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[4]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *UpdateTensorboardRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*UpdateTensorboardRequest) ProtoMessage() {}

 func (x *UpdateTensorboardRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[4]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use UpdateTensorboardRequest.ProtoReflect.Descriptor instead.
 func (*UpdateTensorboardRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{4}
 }

 func (x *UpdateTensorboardRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.UpdateMask
 	}
 	return nil
 }

 func (x *UpdateTensorboardRequest) GetTensorboard() *Tensorboard {
 	if x != nil {
 		return x.Tensorboard
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].
 type DeleteTensorboardRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the Tensorboard to be deleted.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *DeleteTensorboardRequest) Reset() {
 	*x = DeleteTensorboardRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[5]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *DeleteTensorboardRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*DeleteTensorboardRequest) ProtoMessage() {}

 func (x *DeleteTensorboardRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[5]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use DeleteTensorboardRequest.ProtoReflect.Descriptor instead.
 func (*DeleteTensorboardRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{5}
 }

 func (x *DeleteTensorboardRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].
 type ReadTensorboardUsageRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the Tensorboard resource.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
 }

 func (x *ReadTensorboardUsageRequest) Reset() {
 	*x = ReadTensorboardUsageRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[6]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardUsageRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardUsageRequest) ProtoMessage() {}

 func (x *ReadTensorboardUsageRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[6]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardUsageRequest.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardUsageRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{6}
 }

 func (x *ReadTensorboardUsageRequest) GetTensorboard() string {
 	if x != nil {
 		return x.Tensorboard
 	}
 	return ""
 }

 // Response message for
 // [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].
 type ReadTensorboardUsageResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Maps year-month (YYYYMM) string to per month usage data.
 	MonthlyUsageData map[string]*ReadTensorboardUsageResponse_PerMonthUsageData `protobuf:"bytes,1,rep,name=monthly_usage_data,json=monthlyUsageData,proto3" json:"monthly_usage_data,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
 }

 func (x *ReadTensorboardUsageResponse) Reset() {
 	*x = ReadTensorboardUsageResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[7]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardUsageResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardUsageResponse) ProtoMessage() {}

 func (x *ReadTensorboardUsageResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[7]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardUsageResponse.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardUsageResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{7}
 }

 func (x *ReadTensorboardUsageResponse) GetMonthlyUsageData() map[string]*ReadTensorboardUsageResponse_PerMonthUsageData {
 	if x != nil {
 		return x.MonthlyUsageData
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize].
 type ReadTensorboardSizeRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the Tensorboard resource.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
 }

 func (x *ReadTensorboardSizeRequest) Reset() {
 	*x = ReadTensorboardSizeRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[8]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardSizeRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardSizeRequest) ProtoMessage() {}

 func (x *ReadTensorboardSizeRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[8]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardSizeRequest.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardSizeRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{8}
 }

 func (x *ReadTensorboardSizeRequest) GetTensorboard() string {
 	if x != nil {
 		return x.Tensorboard
 	}
 	return ""
 }

 // Response message for
 // [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize].
 type ReadTensorboardSizeResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Payload storage size for the TensorBoard
 	StorageSizeByte int64 `protobuf:"varint,1,opt,name=storage_size_byte,json=storageSizeByte,proto3" json:"storage_size_byte,omitempty"`
 }

 func (x *ReadTensorboardSizeResponse) Reset() {
 	*x = ReadTensorboardSizeResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[9]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardSizeResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardSizeResponse) ProtoMessage() {}

 func (x *ReadTensorboardSizeResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[9]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardSizeResponse.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardSizeResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{9}
 }

 func (x *ReadTensorboardSizeResponse) GetStorageSizeByte() int64 {
 	if x != nil {
 		return x.StorageSizeByte
 	}
 	return 0
 }

 // Request message for
 // [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].
 type CreateTensorboardExperimentRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the Tensorboard to create the
 	// TensorboardExperiment in. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// The TensorboardExperiment to create.
 	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
 	// Required. The ID to use for the Tensorboard experiment, which becomes the
 	// final component of the Tensorboard experiment's resource name.
 	//
 	// This value should be 1-128 characters, and valid characters
 	// are `/[a-z][0-9]-/`.
 	TensorboardExperimentId string `protobuf:"bytes,3,opt,name=tensorboard_experiment_id,json=tensorboardExperimentId,proto3" json:"tensorboard_experiment_id,omitempty"`
 }

 func (x *CreateTensorboardExperimentRequest) Reset() {
 	*x = CreateTensorboardExperimentRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[10]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *CreateTensorboardExperimentRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*CreateTensorboardExperimentRequest) ProtoMessage() {}

 func (x *CreateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[10]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use CreateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
 func (*CreateTensorboardExperimentRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{10}
 }

 func (x *CreateTensorboardExperimentRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *CreateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment {
 	if x != nil {
 		return x.TensorboardExperiment
 	}
 	return nil
 }

 func (x *CreateTensorboardExperimentRequest) GetTensorboardExperimentId() string {
 	if x != nil {
 		return x.TensorboardExperimentId
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].
 type GetTensorboardExperimentRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the TensorboardExperiment resource.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *GetTensorboardExperimentRequest) Reset() {
 	*x = GetTensorboardExperimentRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[11]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *GetTensorboardExperimentRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*GetTensorboardExperimentRequest) ProtoMessage() {}

 func (x *GetTensorboardExperimentRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[11]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use GetTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
 func (*GetTensorboardExperimentRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{11}
 }

 func (x *GetTensorboardExperimentRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
 type ListTensorboardExperimentsRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the Tensorboard to list
 	// TensorboardExperiments. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Lists the TensorboardExperiments that match the filter expression.
 	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
 	// The maximum number of TensorboardExperiments to return. The service may
 	// return fewer than this value. If unspecified, at most 50
 	// TensorboardExperiments are returned. The maximum value is 1000; values
 	// above 1000 are coerced to 1000.
 	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
 	// A page token, received from a previous
 	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
 	// call. Provide this to retrieve the subsequent page.
 	//
 	// When paginating, all other parameters provided to
 	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments]
 	// must match the call that provided the page token.
 	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
 	// Field to use to sort the list.
 	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
 	// Mask specifying which fields to read.
 	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
 }

 func (x *ListTensorboardExperimentsRequest) Reset() {
 	*x = ListTensorboardExperimentsRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardExperimentsRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardExperimentsRequest) ProtoMessage() {}

 func (x *ListTensorboardExperimentsRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardExperimentsRequest.ProtoReflect.Descriptor instead.
 func (*ListTensorboardExperimentsRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{12}
 }

 func (x *ListTensorboardExperimentsRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *ListTensorboardExperimentsRequest) GetFilter() string {
 	if x != nil {
 		return x.Filter
 	}
 	return ""
 }

 func (x *ListTensorboardExperimentsRequest) GetPageSize() int32 {
 	if x != nil {
 		return x.PageSize
 	}
 	return 0
 }

 func (x *ListTensorboardExperimentsRequest) GetPageToken() string {
 	if x != nil {
 		return x.PageToken
 	}
 	return ""
 }

 func (x *ListTensorboardExperimentsRequest) GetOrderBy() string {
 	if x != nil {
 		return x.OrderBy
 	}
 	return ""
 }

 func (x *ListTensorboardExperimentsRequest) GetReadMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.ReadMask
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].
 type ListTensorboardExperimentsResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The TensorboardExperiments mathching the request.
 	TensorboardExperiments []*TensorboardExperiment `protobuf:"bytes,1,rep,name=tensorboard_experiments,json=tensorboardExperiments,proto3" json:"tensorboard_experiments,omitempty"`
 	// A token, which can be sent as
 	// [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token]
 	// to retrieve the next page. If this field is omitted, there are no
 	// subsequent pages.
 	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
 }

 func (x *ListTensorboardExperimentsResponse) Reset() {
 	*x = ListTensorboardExperimentsResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardExperimentsResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardExperimentsResponse) ProtoMessage() {}

 func (x *ListTensorboardExperimentsResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardExperimentsResponse.ProtoReflect.Descriptor instead.
 func (*ListTensorboardExperimentsResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{13}
 }

 func (x *ListTensorboardExperimentsResponse) GetTensorboardExperiments() []*TensorboardExperiment {
 	if x != nil {
 		return x.TensorboardExperiments
 	}
 	return nil
 }

 func (x *ListTensorboardExperimentsResponse) GetNextPageToken() string {
 	if x != nil {
 		return x.NextPageToken
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].
 type UpdateTensorboardExperimentRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. Field mask is used to specify the fields to be overwritten in the
 	// TensorboardExperiment resource by the update.
 	// The fields specified in the update_mask are relative to the resource, not
 	// the full request. A field is overwritten if it's in the mask. If the
 	// user does not provide a mask then all fields are overwritten if new
 	// values are specified.
 	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
 	// Required. The TensorboardExperiment's `name` field is used to identify the
 	// TensorboardExperiment to be updated. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
 }

 func (x *UpdateTensorboardExperimentRequest) Reset() {
 	*x = UpdateTensorboardExperimentRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *UpdateTensorboardExperimentRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*UpdateTensorboardExperimentRequest) ProtoMessage() {}

 func (x *UpdateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use UpdateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
 func (*UpdateTensorboardExperimentRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{14}
 }

 func (x *UpdateTensorboardExperimentRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.UpdateMask
 	}
 	return nil
 }

 func (x *UpdateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment {
 	if x != nil {
 		return x.TensorboardExperiment
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].
 type DeleteTensorboardExperimentRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the TensorboardExperiment to be deleted.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *DeleteTensorboardExperimentRequest) Reset() {
 	*x = DeleteTensorboardExperimentRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *DeleteTensorboardExperimentRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*DeleteTensorboardExperimentRequest) ProtoMessage() {}

 func (x *DeleteTensorboardExperimentRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use DeleteTensorboardExperimentRequest.ProtoReflect.Descriptor instead.
 func (*DeleteTensorboardExperimentRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{15}
 }

 func (x *DeleteTensorboardExperimentRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
 type BatchCreateTensorboardRunsRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardExperiment to create the
 	// TensorboardRuns in. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	// The parent field in the CreateTensorboardRunRequest messages must match
 	// this field.
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Required. The request message specifying the TensorboardRuns to create.
 	// A maximum of 1000 TensorboardRuns can be created in a batch.
 	Requests []*CreateTensorboardRunRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
 }

 func (x *BatchCreateTensorboardRunsRequest) Reset() {
 	*x = BatchCreateTensorboardRunsRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *BatchCreateTensorboardRunsRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*BatchCreateTensorboardRunsRequest) ProtoMessage() {}

 func (x *BatchCreateTensorboardRunsRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use BatchCreateTensorboardRunsRequest.ProtoReflect.Descriptor instead.
 func (*BatchCreateTensorboardRunsRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{16}
 }

 func (x *BatchCreateTensorboardRunsRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *BatchCreateTensorboardRunsRequest) GetRequests() []*CreateTensorboardRunRequest {
 	if x != nil {
 		return x.Requests
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].
 type BatchCreateTensorboardRunsResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The created TensorboardRuns.
 	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
 }

 func (x *BatchCreateTensorboardRunsResponse) Reset() {
 	*x = BatchCreateTensorboardRunsResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *BatchCreateTensorboardRunsResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*BatchCreateTensorboardRunsResponse) ProtoMessage() {}

 func (x *BatchCreateTensorboardRunsResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use BatchCreateTensorboardRunsResponse.ProtoReflect.Descriptor instead.
 func (*BatchCreateTensorboardRunsResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{17}
 }

 func (x *BatchCreateTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun {
 	if x != nil {
 		return x.TensorboardRuns
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].
 type CreateTensorboardRunRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardExperiment to create the
 	// TensorboardRun in. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Required. The TensorboardRun to create.
 	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
 	// Required. The ID to use for the Tensorboard run, which becomes the final
 	// component of the Tensorboard run's resource name.
 	//
 	// This value should be 1-128 characters, and valid characters
 	// are `/[a-z][0-9]-/`.
 	TensorboardRunId string `protobuf:"bytes,3,opt,name=tensorboard_run_id,json=tensorboardRunId,proto3" json:"tensorboard_run_id,omitempty"`
 }

 func (x *CreateTensorboardRunRequest) Reset() {
 	*x = CreateTensorboardRunRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *CreateTensorboardRunRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*CreateTensorboardRunRequest) ProtoMessage() {}

 func (x *CreateTensorboardRunRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use CreateTensorboardRunRequest.ProtoReflect.Descriptor instead.
 func (*CreateTensorboardRunRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{18}
 }

 func (x *CreateTensorboardRunRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *CreateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun {
 	if x != nil {
 		return x.TensorboardRun
 	}
 	return nil
 }

 func (x *CreateTensorboardRunRequest) GetTensorboardRunId() string {
 	if x != nil {
 		return x.TensorboardRunId
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].
 type GetTensorboardRunRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the TensorboardRun resource.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *GetTensorboardRunRequest) Reset() {
 	*x = GetTensorboardRunRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *GetTensorboardRunRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*GetTensorboardRunRequest) ProtoMessage() {}

 func (x *GetTensorboardRunRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use GetTensorboardRunRequest.ProtoReflect.Descriptor instead.
 func (*GetTensorboardRunRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{19}
 }

 func (x *GetTensorboardRunRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
 type ReadTensorboardBlobDataRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardTimeSeries to list Blobs.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 	TimeSeries string `protobuf:"bytes,1,opt,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
 	// IDs of the blobs to read.
 	BlobIds []string `protobuf:"bytes,2,rep,name=blob_ids,json=blobIds,proto3" json:"blob_ids,omitempty"`
 }

 func (x *ReadTensorboardBlobDataRequest) Reset() {
 	*x = ReadTensorboardBlobDataRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardBlobDataRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardBlobDataRequest) ProtoMessage() {}

 func (x *ReadTensorboardBlobDataRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardBlobDataRequest.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardBlobDataRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{20}
 }

 func (x *ReadTensorboardBlobDataRequest) GetTimeSeries() string {
 	if x != nil {
 		return x.TimeSeries
 	}
 	return ""
 }

 func (x *ReadTensorboardBlobDataRequest) GetBlobIds() []string {
 	if x != nil {
 		return x.BlobIds
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].
 type ReadTensorboardBlobDataResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Blob messages containing blob bytes.
 	Blobs []*TensorboardBlob `protobuf:"bytes,1,rep,name=blobs,proto3" json:"blobs,omitempty"`
 }

 func (x *ReadTensorboardBlobDataResponse) Reset() {
 	*x = ReadTensorboardBlobDataResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardBlobDataResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardBlobDataResponse) ProtoMessage() {}

 func (x *ReadTensorboardBlobDataResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardBlobDataResponse.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardBlobDataResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{21}
 }

 func (x *ReadTensorboardBlobDataResponse) GetBlobs() []*TensorboardBlob {
 	if x != nil {
 		return x.Blobs
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
 type ListTensorboardRunsRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardExperiment to list
 	// TensorboardRuns. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Lists the TensorboardRuns that match the filter expression.
 	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
 	// The maximum number of TensorboardRuns to return. The service may return
 	// fewer than this value. If unspecified, at most 50 TensorboardRuns are
 	// returned. The maximum value is 1000; values above 1000 are coerced to
 	// 1000.
 	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
 	// A page token, received from a previous
 	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
 	// call. Provide this to retrieve the subsequent page.
 	//
 	// When paginating, all other parameters provided to
 	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns]
 	// must match the call that provided the page token.
 	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
 	// Field to use to sort the list.
 	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
 	// Mask specifying which fields to read.
 	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
 }

 func (x *ListTensorboardRunsRequest) Reset() {
 	*x = ListTensorboardRunsRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardRunsRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardRunsRequest) ProtoMessage() {}

 func (x *ListTensorboardRunsRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardRunsRequest.ProtoReflect.Descriptor instead.
 func (*ListTensorboardRunsRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{22}
 }

 func (x *ListTensorboardRunsRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *ListTensorboardRunsRequest) GetFilter() string {
 	if x != nil {
 		return x.Filter
 	}
 	return ""
 }

 func (x *ListTensorboardRunsRequest) GetPageSize() int32 {
 	if x != nil {
 		return x.PageSize
 	}
 	return 0
 }

 func (x *ListTensorboardRunsRequest) GetPageToken() string {
 	if x != nil {
 		return x.PageToken
 	}
 	return ""
 }

 func (x *ListTensorboardRunsRequest) GetOrderBy() string {
 	if x != nil {
 		return x.OrderBy
 	}
 	return ""
 }

 func (x *ListTensorboardRunsRequest) GetReadMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.ReadMask
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].
 type ListTensorboardRunsResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The TensorboardRuns mathching the request.
 	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
 	// A token, which can be sent as
 	// [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token]
 	// to retrieve the next page. If this field is omitted, there are no
 	// subsequent pages.
 	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
 }

 func (x *ListTensorboardRunsResponse) Reset() {
 	*x = ListTensorboardRunsResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardRunsResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardRunsResponse) ProtoMessage() {}

 func (x *ListTensorboardRunsResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardRunsResponse.ProtoReflect.Descriptor instead.
 func (*ListTensorboardRunsResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{23}
 }

 func (x *ListTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun {
 	if x != nil {
 		return x.TensorboardRuns
 	}
 	return nil
 }

 func (x *ListTensorboardRunsResponse) GetNextPageToken() string {
 	if x != nil {
 		return x.NextPageToken
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].
 type UpdateTensorboardRunRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. Field mask is used to specify the fields to be overwritten in the
 	// TensorboardRun resource by the update.
 	// The fields specified in the update_mask are relative to the resource, not
 	// the full request. A field is overwritten if it's in the mask. If the
 	// user does not provide a mask then all fields are overwritten if new
 	// values are specified.
 	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
 	// Required. The TensorboardRun's `name` field is used to identify the
 	// TensorboardRun to be updated. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
 }

 func (x *UpdateTensorboardRunRequest) Reset() {
 	*x = UpdateTensorboardRunRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *UpdateTensorboardRunRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*UpdateTensorboardRunRequest) ProtoMessage() {}

 func (x *UpdateTensorboardRunRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use UpdateTensorboardRunRequest.ProtoReflect.Descriptor instead.
 func (*UpdateTensorboardRunRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{24}
 }

 func (x *UpdateTensorboardRunRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.UpdateMask
 	}
 	return nil
 }

 func (x *UpdateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun {
 	if x != nil {
 		return x.TensorboardRun
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].
 type DeleteTensorboardRunRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the TensorboardRun to be deleted.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *DeleteTensorboardRunRequest) Reset() {
 	*x = DeleteTensorboardRunRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *DeleteTensorboardRunRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*DeleteTensorboardRunRequest) ProtoMessage() {}

 func (x *DeleteTensorboardRunRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use DeleteTensorboardRunRequest.ProtoReflect.Descriptor instead.
 func (*DeleteTensorboardRunRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{25}
 }

 func (x *DeleteTensorboardRunRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
 type BatchCreateTensorboardTimeSeriesRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardExperiment to create the
 	// TensorboardTimeSeries in.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	// The TensorboardRuns referenced by the parent fields in the
 	// CreateTensorboardTimeSeriesRequest messages must be sub resources of this
 	// TensorboardExperiment.
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Required. The request message specifying the TensorboardTimeSeries to
 	// create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.
 	Requests []*CreateTensorboardTimeSeriesRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
 }

 func (x *BatchCreateTensorboardTimeSeriesRequest) Reset() {
 	*x = BatchCreateTensorboardTimeSeriesRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *BatchCreateTensorboardTimeSeriesRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*BatchCreateTensorboardTimeSeriesRequest) ProtoMessage() {}

 func (x *BatchCreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use BatchCreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
 func (*BatchCreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{26}
 }

 func (x *BatchCreateTensorboardTimeSeriesRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *BatchCreateTensorboardTimeSeriesRequest) GetRequests() []*CreateTensorboardTimeSeriesRequest {
 	if x != nil {
 		return x.Requests
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].
 type BatchCreateTensorboardTimeSeriesResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The created TensorboardTimeSeries.
 	TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
 }

 func (x *BatchCreateTensorboardTimeSeriesResponse) Reset() {
 	*x = BatchCreateTensorboardTimeSeriesResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *BatchCreateTensorboardTimeSeriesResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*BatchCreateTensorboardTimeSeriesResponse) ProtoMessage() {}

 func (x *BatchCreateTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use BatchCreateTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.
 func (*BatchCreateTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{27}
 }

 func (x *BatchCreateTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries {
 	if x != nil {
 		return x.TensorboardTimeSeries
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].
 type CreateTensorboardTimeSeriesRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardRun to create the
 	// TensorboardTimeSeries in.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Optional. The user specified unique ID to use for the
 	// TensorboardTimeSeries, which becomes the final component of the
 	// TensorboardTimeSeries's resource name. This value should match
 	// "[a-z0-9][a-z0-9-]{0, 127}"
 	TensorboardTimeSeriesId string `protobuf:"bytes,3,opt,name=tensorboard_time_series_id,json=tensorboardTimeSeriesId,proto3" json:"tensorboard_time_series_id,omitempty"`
 	// Required. The TensorboardTimeSeries to create.
 	TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
 }

 func (x *CreateTensorboardTimeSeriesRequest) Reset() {
 	*x = CreateTensorboardTimeSeriesRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *CreateTensorboardTimeSeriesRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*CreateTensorboardTimeSeriesRequest) ProtoMessage() {}

 func (x *CreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use CreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
 func (*CreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{28}
 }

 func (x *CreateTensorboardTimeSeriesRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId() string {
 	if x != nil {
 		return x.TensorboardTimeSeriesId
 	}
 	return ""
 }

 func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries {
 	if x != nil {
 		return x.TensorboardTimeSeries
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].
 type GetTensorboardTimeSeriesRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the TensorboardTimeSeries resource.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *GetTensorboardTimeSeriesRequest) Reset() {
 	*x = GetTensorboardTimeSeriesRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *GetTensorboardTimeSeriesRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*GetTensorboardTimeSeriesRequest) ProtoMessage() {}

 func (x *GetTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use GetTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
 func (*GetTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{29}
 }

 func (x *GetTensorboardTimeSeriesRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
 type ListTensorboardTimeSeriesRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardRun to list
 	// TensorboardTimeSeries. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
 	// Lists the TensorboardTimeSeries that match the filter expression.
 	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
 	// The maximum number of TensorboardTimeSeries to return. The service may
 	// return fewer than this value. If unspecified, at most 50
 	// TensorboardTimeSeries are returned. The maximum value is 1000; values
 	// above 1000 are coerced to 1000.
 	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
 	// A page token, received from a previous
 	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
 	// call. Provide this to retrieve the subsequent page.
 	//
 	// When paginating, all other parameters provided to
 	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries]
 	// must match the call that provided the page token.
 	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
 	// Field to use to sort the list.
 	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
 	// Mask specifying which fields to read.
 	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
 }

 func (x *ListTensorboardTimeSeriesRequest) Reset() {
 	*x = ListTensorboardTimeSeriesRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardTimeSeriesRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardTimeSeriesRequest) ProtoMessage() {}

 func (x *ListTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
 func (*ListTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{30}
 }

 func (x *ListTensorboardTimeSeriesRequest) GetParent() string {
 	if x != nil {
 		return x.Parent
 	}
 	return ""
 }

 func (x *ListTensorboardTimeSeriesRequest) GetFilter() string {
 	if x != nil {
 		return x.Filter
 	}
 	return ""
 }

 func (x *ListTensorboardTimeSeriesRequest) GetPageSize() int32 {
 	if x != nil {
 		return x.PageSize
 	}
 	return 0
 }

 func (x *ListTensorboardTimeSeriesRequest) GetPageToken() string {
 	if x != nil {
 		return x.PageToken
 	}
 	return ""
 }

 func (x *ListTensorboardTimeSeriesRequest) GetOrderBy() string {
 	if x != nil {
 		return x.OrderBy
 	}
 	return ""
 }

 func (x *ListTensorboardTimeSeriesRequest) GetReadMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.ReadMask
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].
 type ListTensorboardTimeSeriesResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The TensorboardTimeSeries mathching the request.
 	TensorboardTimeSeries []*TensorboardTimeSeries `protobuf:"bytes,1,rep,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
 	// A token, which can be sent as
 	// [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token]
 	// to retrieve the next page. If this field is omitted, there are no
 	// subsequent pages.
 	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
 }

 func (x *ListTensorboardTimeSeriesResponse) Reset() {
 	*x = ListTensorboardTimeSeriesResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ListTensorboardTimeSeriesResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ListTensorboardTimeSeriesResponse) ProtoMessage() {}

 func (x *ListTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ListTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.
 func (*ListTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{31}
 }

 func (x *ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries {
 	if x != nil {
 		return x.TensorboardTimeSeries
 	}
 	return nil
 }

 func (x *ListTensorboardTimeSeriesResponse) GetNextPageToken() string {
 	if x != nil {
 		return x.NextPageToken
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].
 type UpdateTensorboardTimeSeriesRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. Field mask is used to specify the fields to be overwritten in the
 	// TensorboardTimeSeries resource by the update.
 	// The fields specified in the update_mask are relative to the resource, not
 	// the full request. A field is overwritten if it's in the mask. If the
 	// user does not provide a mask then all fields are overwritten if new
 	// values are specified.
 	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
 	// Required. The TensorboardTimeSeries' `name` field is used to identify the
 	// TensorboardTimeSeries to be updated.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 	TensorboardTimeSeries *TensorboardTimeSeries `protobuf:"bytes,2,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
 }

 func (x *UpdateTensorboardTimeSeriesRequest) Reset() {
 	*x = UpdateTensorboardTimeSeriesRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *UpdateTensorboardTimeSeriesRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage() {}

 func (x *UpdateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use UpdateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
 func (*UpdateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{32}
 }

 func (x *UpdateTensorboardTimeSeriesRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
 	if x != nil {
 		return x.UpdateMask
 	}
 	return nil
 }

 func (x *UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries {
 	if x != nil {
 		return x.TensorboardTimeSeries
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].
 type DeleteTensorboardTimeSeriesRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The name of the TensorboardTimeSeries to be deleted.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
 }

 func (x *DeleteTensorboardTimeSeriesRequest) Reset() {
 	*x = DeleteTensorboardTimeSeriesRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *DeleteTensorboardTimeSeriesRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage() {}

 func (x *DeleteTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use DeleteTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.
 func (*DeleteTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{33}
 }

 func (x *DeleteTensorboardTimeSeriesRequest) GetName() string {
 	if x != nil {
 		return x.Name
 	}
 	return ""
 }

 // Request message for
 // [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData].
 type BatchReadTensorboardTimeSeriesDataRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the Tensorboard containing
 	// TensorboardTimeSeries to read data from. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
 	// The TensorboardTimeSeries referenced by
 	// [time_series][google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest.time_series]
 	// must be sub resources of this Tensorboard.
 	Tensorboard string `protobuf:"bytes,1,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
 	// Required. The resource names of the TensorboardTimeSeries to read data
 	// from. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 	TimeSeries []string `protobuf:"bytes,2,rep,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
 }

 func (x *BatchReadTensorboardTimeSeriesDataRequest) Reset() {
 	*x = BatchReadTensorboardTimeSeriesDataRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[34]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *BatchReadTensorboardTimeSeriesDataRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*BatchReadTensorboardTimeSeriesDataRequest) ProtoMessage() {}

 func (x *BatchReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[34]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use BatchReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.
 func (*BatchReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{34}
 }

 func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTensorboard() string {
 	if x != nil {
 		return x.Tensorboard
 	}
 	return ""
 }

 func (x *BatchReadTensorboardTimeSeriesDataRequest) GetTimeSeries() []string {
 	if x != nil {
 		return x.TimeSeries
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData].
 type BatchReadTensorboardTimeSeriesDataResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The returned time series data.
 	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,1,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
 }

 func (x *BatchReadTensorboardTimeSeriesDataResponse) Reset() {
 	*x = BatchReadTensorboardTimeSeriesDataResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[35]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *BatchReadTensorboardTimeSeriesDataResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*BatchReadTensorboardTimeSeriesDataResponse) ProtoMessage() {}

 func (x *BatchReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[35]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use BatchReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.
 func (*BatchReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{35}
 }

 func (x *BatchReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() []*TimeSeriesData {
 	if x != nil {
 		return x.TimeSeriesData
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
 type ReadTensorboardTimeSeriesDataRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardTimeSeries to read data from.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 	TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
 	// The maximum number of TensorboardTimeSeries' data to return.
 	//
 	// This value should be a positive integer.
 	// This value can be set to -1 to return all data.
 	MaxDataPoints int32 `protobuf:"varint,2,opt,name=max_data_points,json=maxDataPoints,proto3" json:"max_data_points,omitempty"`
 	// Reads the TensorboardTimeSeries' data that match the filter expression.
 	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
 }

 func (x *ReadTensorboardTimeSeriesDataRequest) Reset() {
 	*x = ReadTensorboardTimeSeriesDataRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[36]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardTimeSeriesDataRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage() {}

 func (x *ReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[36]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{36}
 }

 func (x *ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string {
 	if x != nil {
 		return x.TensorboardTimeSeries
 	}
 	return ""
 }

 func (x *ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints() int32 {
 	if x != nil {
 		return x.MaxDataPoints
 	}
 	return 0
 }

 func (x *ReadTensorboardTimeSeriesDataRequest) GetFilter() string {
 	if x != nil {
 		return x.Filter
 	}
 	return ""
 }

 // Response message for
 // [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].
 type ReadTensorboardTimeSeriesDataResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The returned time series data.
 	TimeSeriesData *TimeSeriesData `protobuf:"bytes,1,opt,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
 }

 func (x *ReadTensorboardTimeSeriesDataResponse) Reset() {
 	*x = ReadTensorboardTimeSeriesDataResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[37]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardTimeSeriesDataResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage() {}

 func (x *ReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[37]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{37}
 }

 func (x *ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() *TimeSeriesData {
 	if x != nil {
 		return x.TimeSeriesData
 	}
 	return nil
 }

 // Request message for
 // [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
 type WriteTensorboardExperimentDataRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardExperiment to write data to.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
 	TensorboardExperiment string `protobuf:"bytes,1,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
 	// Required. Requests containing per-run TensorboardTimeSeries data to write.
 	WriteRunDataRequests []*WriteTensorboardRunDataRequest `protobuf:"bytes,2,rep,name=write_run_data_requests,json=writeRunDataRequests,proto3" json:"write_run_data_requests,omitempty"`
 }

 func (x *WriteTensorboardExperimentDataRequest) Reset() {
 	*x = WriteTensorboardExperimentDataRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[38]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *WriteTensorboardExperimentDataRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*WriteTensorboardExperimentDataRequest) ProtoMessage() {}

 func (x *WriteTensorboardExperimentDataRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[38]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use WriteTensorboardExperimentDataRequest.ProtoReflect.Descriptor instead.
 func (*WriteTensorboardExperimentDataRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{38}
 }

 func (x *WriteTensorboardExperimentDataRequest) GetTensorboardExperiment() string {
 	if x != nil {
 		return x.TensorboardExperiment
 	}
 	return ""
 }

 func (x *WriteTensorboardExperimentDataRequest) GetWriteRunDataRequests() []*WriteTensorboardRunDataRequest {
 	if x != nil {
 		return x.WriteRunDataRequests
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].
 type WriteTensorboardExperimentDataResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 }

 func (x *WriteTensorboardExperimentDataResponse) Reset() {
 	*x = WriteTensorboardExperimentDataResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[39]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *WriteTensorboardExperimentDataResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*WriteTensorboardExperimentDataResponse) ProtoMessage() {}

 func (x *WriteTensorboardExperimentDataResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[39]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use WriteTensorboardExperimentDataResponse.ProtoReflect.Descriptor instead.
 func (*WriteTensorboardExperimentDataResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{39}
 }

 // Request message for
 // [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
 type WriteTensorboardRunDataRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardRun to write data to.
 	// Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
 	TensorboardRun string `protobuf:"bytes,1,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
 	// Required. The TensorboardTimeSeries data to write.
 	// Values with in a time series are indexed by their step value.
 	// Repeated writes to the same step will overwrite the existing value for that
 	// step.
 	// The upper limit of data points per write request is 5000.
 	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,2,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
 }

 func (x *WriteTensorboardRunDataRequest) Reset() {
 	*x = WriteTensorboardRunDataRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[40]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *WriteTensorboardRunDataRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*WriteTensorboardRunDataRequest) ProtoMessage() {}

 func (x *WriteTensorboardRunDataRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[40]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use WriteTensorboardRunDataRequest.ProtoReflect.Descriptor instead.
 func (*WriteTensorboardRunDataRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{40}
 }

 func (x *WriteTensorboardRunDataRequest) GetTensorboardRun() string {
 	if x != nil {
 		return x.TensorboardRun
 	}
 	return ""
 }

 func (x *WriteTensorboardRunDataRequest) GetTimeSeriesData() []*TimeSeriesData {
 	if x != nil {
 		return x.TimeSeriesData
 	}
 	return nil
 }

 // Response message for
 // [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].
 type WriteTensorboardRunDataResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 }

 func (x *WriteTensorboardRunDataResponse) Reset() {
 	*x = WriteTensorboardRunDataResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[41]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *WriteTensorboardRunDataResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*WriteTensorboardRunDataResponse) ProtoMessage() {}

 func (x *WriteTensorboardRunDataResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[41]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use WriteTensorboardRunDataResponse.ProtoReflect.Descriptor instead.
 func (*WriteTensorboardRunDataResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{41}
 }

 // Request message for
 // [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
 type ExportTensorboardTimeSeriesDataRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Required. The resource name of the TensorboardTimeSeries to export data
 	// from. Format:
 	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
 	TensorboardTimeSeries string `protobuf:"bytes,1,opt,name=tensorboard_time_series,json=tensorboardTimeSeries,proto3" json:"tensorboard_time_series,omitempty"`
 	// Exports the TensorboardTimeSeries' data that match the filter expression.
 	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
 	// The maximum number of data points to return per page.
 	// The default page_size is 1000. Values must be between 1 and 10000.
 	// Values above 10000 are coerced to 10000.
 	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
 	// A page token, received from a previous
 	// [ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData]
 	// call. Provide this to retrieve the subsequent page.
 	//
 	// When paginating, all other parameters provided to
 	// [ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData]
 	// must match the call that provided the page token.
 	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
 	// Field to use to sort the TensorboardTimeSeries' data.
 	// By default, TensorboardTimeSeries' data is returned in a pseudo random
 	// order.
 	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
 }

 func (x *ExportTensorboardTimeSeriesDataRequest) Reset() {
 	*x = ExportTensorboardTimeSeriesDataRequest{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[42]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ExportTensorboardTimeSeriesDataRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage() {}

 func (x *ExportTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[42]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ExportTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.
 func (*ExportTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{42}
 }

 func (x *ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string {
 	if x != nil {
 		return x.TensorboardTimeSeries
 	}
 	return ""
 }

 func (x *ExportTensorboardTimeSeriesDataRequest) GetFilter() string {
 	if x != nil {
 		return x.Filter
 	}
 	return ""
 }

 func (x *ExportTensorboardTimeSeriesDataRequest) GetPageSize() int32 {
 	if x != nil {
 		return x.PageSize
 	}
 	return 0
 }

 func (x *ExportTensorboardTimeSeriesDataRequest) GetPageToken() string {
 	if x != nil {
 		return x.PageToken
 	}
 	return ""
 }

 func (x *ExportTensorboardTimeSeriesDataRequest) GetOrderBy() string {
 	if x != nil {
 		return x.OrderBy
 	}
 	return ""
 }

 // Response message for
 // [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].
 type ExportTensorboardTimeSeriesDataResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// The returned time series data points.
 	TimeSeriesDataPoints []*TimeSeriesDataPoint `protobuf:"bytes,1,rep,name=time_series_data_points,json=timeSeriesDataPoints,proto3" json:"time_series_data_points,omitempty"`
 	// A token, which can be sent as
 	// [page_token][google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest.page_token]
 	// to retrieve the next page. If this field is omitted, there are no
 	// subsequent pages.
 	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
 }

 func (x *ExportTensorboardTimeSeriesDataResponse) Reset() {
 	*x = ExportTensorboardTimeSeriesDataResponse{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[43]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ExportTensorboardTimeSeriesDataResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage() {}

 func (x *ExportTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[43]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ExportTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.
 func (*ExportTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{43}
 }

 func (x *ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints() []*TimeSeriesDataPoint {
 	if x != nil {
 		return x.TimeSeriesDataPoints
 	}
 	return nil
 }

 func (x *ExportTensorboardTimeSeriesDataResponse) GetNextPageToken() string {
 	if x != nil {
 		return x.NextPageToken
 	}
 	return ""
 }

 // Details of operations that perform create Tensorboard.
 type CreateTensorboardOperationMetadata struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Operation metadata for Tensorboard.
 	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
 }

 func (x *CreateTensorboardOperationMetadata) Reset() {
 	*x = CreateTensorboardOperationMetadata{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[44]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *CreateTensorboardOperationMetadata) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*CreateTensorboardOperationMetadata) ProtoMessage() {}

 func (x *CreateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[44]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use CreateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.
 func (*CreateTensorboardOperationMetadata) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{44}
 }

 func (x *CreateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
 	if x != nil {
 		return x.GenericMetadata
 	}
 	return nil
 }

 // Details of operations that perform update Tensorboard.
 type UpdateTensorboardOperationMetadata struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Operation metadata for Tensorboard.
 	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
 }

 func (x *UpdateTensorboardOperationMetadata) Reset() {
 	*x = UpdateTensorboardOperationMetadata{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[45]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *UpdateTensorboardOperationMetadata) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*UpdateTensorboardOperationMetadata) ProtoMessage() {}

 func (x *UpdateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[45]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use UpdateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.
 func (*UpdateTensorboardOperationMetadata) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{45}
 }

 func (x *UpdateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
 	if x != nil {
 		return x.GenericMetadata
 	}
 	return nil
 }

 // Per user usage data.
 type ReadTensorboardUsageResponse_PerUserUsageData struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// User's username
 	Username string `protobuf:"bytes,1,opt,name=username,proto3" json:"username,omitempty"`
 	// Number of times the user has read data within the Tensorboard.
 	ViewCount int64 `protobuf:"varint,2,opt,name=view_count,json=viewCount,proto3" json:"view_count,omitempty"`
 }

 func (x *ReadTensorboardUsageResponse_PerUserUsageData) Reset() {
 	*x = ReadTensorboardUsageResponse_PerUserUsageData{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[46]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardUsageResponse_PerUserUsageData) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardUsageResponse_PerUserUsageData) ProtoMessage() {}

 func (x *ReadTensorboardUsageResponse_PerUserUsageData) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[46]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardUsageResponse_PerUserUsageData.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardUsageResponse_PerUserUsageData) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{7, 0}
 }

 func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetUsername() string {
 	if x != nil {
 		return x.Username
 	}
 	return ""
 }

 func (x *ReadTensorboardUsageResponse_PerUserUsageData) GetViewCount() int64 {
 	if x != nil {
 		return x.ViewCount
 	}
 	return 0
 }

 // Per month usage data
 type ReadTensorboardUsageResponse_PerMonthUsageData struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields

 	// Usage data for each user in the given month.
 	UserUsageData []*ReadTensorboardUsageResponse_PerUserUsageData `protobuf:"bytes,1,rep,name=user_usage_data,json=userUsageData,proto3" json:"user_usage_data,omitempty"`
 }

 func (x *ReadTensorboardUsageResponse_PerMonthUsageData) Reset() {
 	*x = ReadTensorboardUsageResponse_PerMonthUsageData{}
 	if protoimpl.UnsafeEnabled {
 		mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[47]
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		ms.StoreMessageInfo(mi)
 	}
 }

 func (x *ReadTensorboardUsageResponse_PerMonthUsageData) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }

 func (*ReadTensorboardUsageResponse_PerMonthUsageData) ProtoMessage() {}

 func (x *ReadTensorboardUsageResponse_PerMonthUsageData) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[47]
 	if protoimpl.UnsafeEnabled && x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
 			ms.StoreMessageInfo(mi)
 		}
 		return ms
 	}
 	return mi.MessageOf(x)
 }

 // Deprecated: Use ReadTensorboardUsageResponse_PerMonthUsageData.ProtoReflect.Descriptor instead.
 func (*ReadTensorboardUsageResponse_PerMonthUsageData) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP(), []int{7, 1}
 }

 func (x *ReadTensorboardUsageResponse_PerMonthUsageData) GetUserUsageData() []*ReadTensorboardUsageResponse_PerUserUsageData {
 	if x != nil {
 		return x.UserUsageData
 	}
 	return nil
 }

 var File_google_cloud_aiplatform_v1beta1_tensorboard_service_proto protoreflect.FileDescriptor

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 }

 var (
 	file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescOnce sync.Once
 	file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDesc
 )

 func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescGZIP() []byte {
 	file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescOnce.Do(func() {
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescData)
 	})
 	return file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDescData
 }

 var file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes = make([]protoimpl.MessageInfo, 49)
 var file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_goTypes = []interface{}{
 	(*CreateTensorboardRequest)(nil),                       // 0: google.cloud.aiplatform.v1beta1.CreateTensorboardRequest
 	(*GetTensorboardRequest)(nil),                          // 1: google.cloud.aiplatform.v1beta1.GetTensorboardRequest
 	(*ListTensorboardsRequest)(nil),                        // 2: google.cloud.aiplatform.v1beta1.ListTensorboardsRequest
 	(*ListTensorboardsResponse)(nil),                       // 3: google.cloud.aiplatform.v1beta1.ListTensorboardsResponse
 	(*UpdateTensorboardRequest)(nil),                       // 4: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest
 	(*DeleteTensorboardRequest)(nil),                       // 5: google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest
 	(*ReadTensorboardUsageRequest)(nil),                    // 6: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest
 	(*ReadTensorboardUsageResponse)(nil),                   // 7: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
 	(*ReadTensorboardSizeRequest)(nil),                     // 8: google.cloud.aiplatform.v1beta1.ReadTensorboardSizeRequest
 	(*ReadTensorboardSizeResponse)(nil),                    // 9: google.cloud.aiplatform.v1beta1.ReadTensorboardSizeResponse
 	(*CreateTensorboardExperimentRequest)(nil),             // 10: google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest
 	(*GetTensorboardExperimentRequest)(nil),                // 11: google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest
 	(*ListTensorboardExperimentsRequest)(nil),              // 12: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest
 	(*ListTensorboardExperimentsResponse)(nil),             // 13: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse
 	(*UpdateTensorboardExperimentRequest)(nil),             // 14: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest
 	(*DeleteTensorboardExperimentRequest)(nil),             // 15: google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest
 	(*BatchCreateTensorboardRunsRequest)(nil),              // 16: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest
 	(*BatchCreateTensorboardRunsResponse)(nil),             // 17: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse
 	(*CreateTensorboardRunRequest)(nil),                    // 18: google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest
 	(*GetTensorboardRunRequest)(nil),                       // 19: google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest
 	(*ReadTensorboardBlobDataRequest)(nil),                 // 20: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest
 	(*ReadTensorboardBlobDataResponse)(nil),                // 21: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse
 	(*ListTensorboardRunsRequest)(nil),                     // 22: google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest
 	(*ListTensorboardRunsResponse)(nil),                    // 23: google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse
 	(*UpdateTensorboardRunRequest)(nil),                    // 24: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest
 	(*DeleteTensorboardRunRequest)(nil),                    // 25: google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest
 	(*BatchCreateTensorboardTimeSeriesRequest)(nil),        // 26: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest
 	(*BatchCreateTensorboardTimeSeriesResponse)(nil),       // 27: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse
 	(*CreateTensorboardTimeSeriesRequest)(nil),             // 28: google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest
 	(*GetTensorboardTimeSeriesRequest)(nil),                // 29: google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest
 	(*ListTensorboardTimeSeriesRequest)(nil),               // 30: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest
 	(*ListTensorboardTimeSeriesResponse)(nil),              // 31: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse
 	(*UpdateTensorboardTimeSeriesRequest)(nil),             // 32: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest
 	(*DeleteTensorboardTimeSeriesRequest)(nil),             // 33: google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest
 	(*BatchReadTensorboardTimeSeriesDataRequest)(nil),      // 34: google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest
 	(*BatchReadTensorboardTimeSeriesDataResponse)(nil),     // 35: google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataResponse
 	(*ReadTensorboardTimeSeriesDataRequest)(nil),           // 36: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest
 	(*ReadTensorboardTimeSeriesDataResponse)(nil),          // 37: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse
 	(*WriteTensorboardExperimentDataRequest)(nil),          // 38: google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest
 	(*WriteTensorboardExperimentDataResponse)(nil),         // 39: google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse
 	(*WriteTensorboardRunDataRequest)(nil),                 // 40: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest
 	(*WriteTensorboardRunDataResponse)(nil),                // 41: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse
 	(*ExportTensorboardTimeSeriesDataRequest)(nil),         // 42: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest
 	(*ExportTensorboardTimeSeriesDataResponse)(nil),        // 43: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse
 	(*CreateTensorboardOperationMetadata)(nil),             // 44: google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata
 	(*UpdateTensorboardOperationMetadata)(nil),             // 45: google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata
 	(*ReadTensorboardUsageResponse_PerUserUsageData)(nil),  // 46: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
 	(*ReadTensorboardUsageResponse_PerMonthUsageData)(nil), // 47: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
 	nil,                              // 48: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.MonthlyUsageDataEntry
 	(*Tensorboard)(nil),              // 49: google.cloud.aiplatform.v1beta1.Tensorboard
 	(*fieldmaskpb.FieldMask)(nil),    // 50: google.protobuf.FieldMask
 	(*TensorboardExperiment)(nil),    // 51: google.cloud.aiplatform.v1beta1.TensorboardExperiment
 	(*TensorboardRun)(nil),           // 52: google.cloud.aiplatform.v1beta1.TensorboardRun
 	(*TensorboardBlob)(nil),          // 53: google.cloud.aiplatform.v1beta1.TensorboardBlob
 	(*TensorboardTimeSeries)(nil),    // 54: google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	(*TimeSeriesData)(nil),           // 55: google.cloud.aiplatform.v1beta1.TimeSeriesData
 	(*TimeSeriesDataPoint)(nil),      // 56: google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint
 	(*GenericOperationMetadata)(nil), // 57: google.cloud.aiplatform.v1beta1.GenericOperationMetadata
 	(*longrunningpb.Operation)(nil),  // 58: google.longrunning.Operation
 }
 var file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_depIdxs = []int32{
 	49, // 0: google.cloud.aiplatform.v1beta1.CreateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard
 	50, // 1: google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.read_mask:type_name -> google.protobuf.FieldMask
 	49, // 2: google.cloud.aiplatform.v1beta1.ListTensorboardsResponse.tensorboards:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard
 	50, // 3: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest.update_mask:type_name -> google.protobuf.FieldMask
 	49, // 4: google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest.tensorboard:type_name -> google.cloud.aiplatform.v1beta1.Tensorboard
 	48, // 5: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.monthly_usage_data:type_name -> google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.MonthlyUsageDataEntry
 	51, // 6: google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest.tensorboard_experiment:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment
 	50, // 7: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.read_mask:type_name -> google.protobuf.FieldMask
 	51, // 8: google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse.tensorboard_experiments:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment
 	50, // 9: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest.update_mask:type_name -> google.protobuf.FieldMask
 	51, // 10: google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest.tensorboard_experiment:type_name -> google.cloud.aiplatform.v1beta1.TensorboardExperiment
 	18, // 11: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest.requests:type_name -> google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest
 	52, // 12: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse.tensorboard_runs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun
 	52, // 13: google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest.tensorboard_run:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun
 	53, // 14: google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse.blobs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardBlob
 	50, // 15: google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.read_mask:type_name -> google.protobuf.FieldMask
 	52, // 16: google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse.tensorboard_runs:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun
 	50, // 17: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest.update_mask:type_name -> google.protobuf.FieldMask
 	52, // 18: google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest.tensorboard_run:type_name -> google.cloud.aiplatform.v1beta1.TensorboardRun
 	28, // 19: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest.requests:type_name -> google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest
 	54, // 20: google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	54, // 21: google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	50, // 22: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.read_mask:type_name -> google.protobuf.FieldMask
 	54, // 23: google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	50, // 24: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest.update_mask:type_name -> google.protobuf.FieldMask
 	54, // 25: google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest.tensorboard_time_series:type_name -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	55, // 26: google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataResponse.time_series_data:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesData
 	55, // 27: google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse.time_series_data:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesData
 	40, // 28: google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest.write_run_data_requests:type_name -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest
 	55, // 29: google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest.time_series_data:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesData
 	56, // 30: google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse.time_series_data_points:type_name -> google.cloud.aiplatform.v1beta1.TimeSeriesDataPoint
 	57, // 31: google.cloud.aiplatform.v1beta1.CreateTensorboardOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
 	57, // 32: google.cloud.aiplatform.v1beta1.UpdateTensorboardOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
 	46, // 33: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData.user_usage_data:type_name -> google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerUserUsageData
 	47, // 34: google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.MonthlyUsageDataEntry.value:type_name -> google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse.PerMonthUsageData
 	0,  // 35: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardRequest
 	1,  // 36: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardRequest
 	4,  // 37: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardRequest
 	2,  // 38: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardsRequest
 	5,  // 39: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardRequest
 	6,  // 40: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardUsageRequest
 	8,  // 41: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardSizeRequest
 	10, // 42: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardExperimentRequest
 	11, // 43: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardExperimentRequest
 	14, // 44: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardExperimentRequest
 	12, // 45: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest
 	15, // 46: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardExperimentRequest
 	18, // 47: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardRunRequest
 	16, // 48: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns:input_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsRequest
 	19, // 49: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardRunRequest
 	24, // 50: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardRunRequest
 	22, // 51: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest
 	25, // 52: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardRunRequest
 	26, // 53: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesRequest
 	28, // 54: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.CreateTensorboardTimeSeriesRequest
 	29, // 55: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.GetTensorboardTimeSeriesRequest
 	32, // 56: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.UpdateTensorboardTimeSeriesRequest
 	30, // 57: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest
 	33, // 58: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries:input_type -> google.cloud.aiplatform.v1beta1.DeleteTensorboardTimeSeriesRequest
 	34, // 59: google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataRequest
 	36, // 60: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataRequest
 	20, // 61: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData:input_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataRequest
 	38, // 62: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData:input_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataRequest
 	40, // 63: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData:input_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataRequest
 	42, // 64: google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData:input_type -> google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataRequest
 	58, // 65: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard:output_type -> google.longrunning.Operation
 	49, // 66: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard:output_type -> google.cloud.aiplatform.v1beta1.Tensorboard
 	58, // 67: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard:output_type -> google.longrunning.Operation
 	3,  // 68: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardsResponse
 	58, // 69: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard:output_type -> google.longrunning.Operation
 	7,  // 70: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardUsageResponse
 	9,  // 71: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardSizeResponse
 	51, // 72: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment
 	51, // 73: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment
 	51, // 74: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment:output_type -> google.cloud.aiplatform.v1beta1.TensorboardExperiment
 	13, // 75: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsResponse
 	58, // 76: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment:output_type -> google.longrunning.Operation
 	52, // 77: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun
 	17, // 78: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns:output_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardRunsResponse
 	52, // 79: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun
 	52, // 80: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun:output_type -> google.cloud.aiplatform.v1beta1.TensorboardRun
 	23, // 81: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardRunsResponse
 	58, // 82: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun:output_type -> google.longrunning.Operation
 	27, // 83: google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.BatchCreateTensorboardTimeSeriesResponse
 	54, // 84: google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	54, // 85: google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	54, // 86: google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.TensorboardTimeSeries
 	31, // 87: google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries:output_type -> google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesResponse
 	58, // 88: google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries:output_type -> google.longrunning.Operation
 	35, // 89: google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData:output_type -> google.cloud.aiplatform.v1beta1.BatchReadTensorboardTimeSeriesDataResponse
 	37, // 90: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardTimeSeriesDataResponse
 	21, // 91: google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData:output_type -> google.cloud.aiplatform.v1beta1.ReadTensorboardBlobDataResponse
 	39, // 92: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData:output_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardExperimentDataResponse
 	41, // 93: google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData:output_type -> google.cloud.aiplatform.v1beta1.WriteTensorboardRunDataResponse
 	43, // 94: google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData:output_type -> google.cloud.aiplatform.v1beta1.ExportTensorboardTimeSeriesDataResponse
 	65, // [65:95] is the sub-list for method output_type
 	35, // [35:65] is the sub-list for method input_type
 	35, // [35:35] is the sub-list for extension type_name
 	35, // [35:35] is the sub-list for extension extendee
 	0,  // [0:35] is the sub-list for field type_name
 }

 func init() { file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() }
 func file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_init() {
 	if File_google_cloud_aiplatform_v1beta1_tensorboard_service_proto != nil {
 		return
 	}
 	file_google_cloud_aiplatform_v1beta1_operation_proto_init()
 	file_google_cloud_aiplatform_v1beta1_tensorboard_proto_init()
 	file_google_cloud_aiplatform_v1beta1_tensorboard_data_proto_init()
 	file_google_cloud_aiplatform_v1beta1_tensorboard_experiment_proto_init()
 	file_google_cloud_aiplatform_v1beta1_tensorboard_run_proto_init()
 	file_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto_init()
 	if !protoimpl.UnsafeEnabled {
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*CreateTensorboardRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*GetTensorboardRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardsRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardsResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*UpdateTensorboardRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*DeleteTensorboardRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardUsageRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardUsageResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardSizeRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardSizeResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*CreateTensorboardExperimentRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*GetTensorboardExperimentRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardExperimentsRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardExperimentsResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*UpdateTensorboardExperimentRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*DeleteTensorboardExperimentRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*BatchCreateTensorboardRunsRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*BatchCreateTensorboardRunsResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*CreateTensorboardRunRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*GetTensorboardRunRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardBlobDataRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardBlobDataResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardRunsRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardRunsResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*UpdateTensorboardRunRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[25].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*DeleteTensorboardRunRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[26].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*BatchCreateTensorboardTimeSeriesRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[27].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*BatchCreateTensorboardTimeSeriesResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[28].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*CreateTensorboardTimeSeriesRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[29].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*GetTensorboardTimeSeriesRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[30].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardTimeSeriesRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[31].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ListTensorboardTimeSeriesResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[32].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*UpdateTensorboardTimeSeriesRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[33].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*DeleteTensorboardTimeSeriesRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[34].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*BatchReadTensorboardTimeSeriesDataRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[35].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*BatchReadTensorboardTimeSeriesDataResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[36].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardTimeSeriesDataRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[37].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardTimeSeriesDataResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[38].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*WriteTensorboardExperimentDataRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[39].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*WriteTensorboardExperimentDataResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[40].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*WriteTensorboardRunDataRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[41].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*WriteTensorboardRunDataResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[42].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ExportTensorboardTimeSeriesDataRequest); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[43].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ExportTensorboardTimeSeriesDataResponse); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[44].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*CreateTensorboardOperationMetadata); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[45].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*UpdateTensorboardOperationMetadata); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[46].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardUsageResponse_PerUserUsageData); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 		file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes[47].Exporter = func(v interface{}, i int) interface{} {
 			switch v := v.(*ReadTensorboardUsageResponse_PerMonthUsageData); i {
 			case 0:
 				return &v.state
 			case 1:
 				return &v.sizeCache
 			case 2:
 				return &v.unknownFields
 			default:
 				return nil
 			}
 		}
 	}
 	type x struct{}
 	out := protoimpl.TypeBuilder{
 		File: protoimpl.DescBuilder{
 			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
 			RawDescriptor: file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDesc,
 			NumEnums:      0,
 			NumMessages:   49,
 			NumExtensions: 0,
 			NumServices:   1,
 		},
 		GoTypes:           file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_goTypes,
 		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_depIdxs,
 		MessageInfos:      file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_msgTypes,
 	}.Build()
 	File_google_cloud_aiplatform_v1beta1_tensorboard_service_proto = out.File
 	file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_rawDesc = nil
 	file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_goTypes = nil
 	file_google_cloud_aiplatform_v1beta1_tensorboard_service_proto_depIdxs = nil
 }

 // Reference imports to suppress errors if they are not otherwise used.
 var _ context.Context
 var _ grpc.ClientConnInterface

 // This is a compile-time assertion to ensure that this generated file
 // is compatible with the grpc package it is being compiled against.
 const _ = grpc.SupportPackageIsVersion6

 // TensorboardServiceClient is the client API for TensorboardService service.
 //
 // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
 type TensorboardServiceClient interface {
 	// Creates a Tensorboard.
 	CreateTensorboard(ctx context.Context, in *CreateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
 	// Gets a Tensorboard.
 	GetTensorboard(ctx context.Context, in *GetTensorboardRequest, opts ...grpc.CallOption) (*Tensorboard, error)
 	// Updates a Tensorboard.
 	UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
 	// Lists Tensorboards in a Location.
 	ListTensorboards(ctx context.Context, in *ListTensorboardsRequest, opts ...grpc.CallOption) (*ListTensorboardsResponse, error)
 	// Deletes a Tensorboard.
 	DeleteTensorboard(ctx context.Context, in *DeleteTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
 	// Returns a list of monthly active users for a given TensorBoard instance.
 	ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error)
 	// Returns the storage size for a given TensorBoard instance.
 	ReadTensorboardSize(ctx context.Context, in *ReadTensorboardSizeRequest, opts ...grpc.CallOption) (*ReadTensorboardSizeResponse, error)
 	// Creates a TensorboardExperiment.
 	CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
 	// Gets a TensorboardExperiment.
 	GetTensorboardExperiment(ctx context.Context, in *GetTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
 	// Updates a TensorboardExperiment.
 	UpdateTensorboardExperiment(ctx context.Context, in *UpdateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
 	// Lists TensorboardExperiments in a Location.
 	ListTensorboardExperiments(ctx context.Context, in *ListTensorboardExperimentsRequest, opts ...grpc.CallOption) (*ListTensorboardExperimentsResponse, error)
 	// Deletes a TensorboardExperiment.
 	DeleteTensorboardExperiment(ctx context.Context, in *DeleteTensorboardExperimentRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
 	// Creates a TensorboardRun.
 	CreateTensorboardRun(ctx context.Context, in *CreateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
 	// Batch create TensorboardRuns.
 	BatchCreateTensorboardRuns(ctx context.Context, in *BatchCreateTensorboardRunsRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardRunsResponse, error)
 	// Gets a TensorboardRun.
 	GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
 	// Updates a TensorboardRun.
 	UpdateTensorboardRun(ctx context.Context, in *UpdateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
 	// Lists TensorboardRuns in a Location.
 	ListTensorboardRuns(ctx context.Context, in *ListTensorboardRunsRequest, opts ...grpc.CallOption) (*ListTensorboardRunsResponse, error)
 	// Deletes a TensorboardRun.
 	DeleteTensorboardRun(ctx context.Context, in *DeleteTensorboardRunRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
 	// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
 	BatchCreateTensorboardTimeSeries(ctx context.Context, in *BatchCreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardTimeSeriesResponse, error)
 	// Creates a TensorboardTimeSeries.
 	CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
 	// Gets a TensorboardTimeSeries.
 	GetTensorboardTimeSeries(ctx context.Context, in *GetTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
 	// Updates a TensorboardTimeSeries.
 	UpdateTensorboardTimeSeries(ctx context.Context, in *UpdateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
 	// Lists TensorboardTimeSeries in a Location.
 	ListTensorboardTimeSeries(ctx context.Context, in *ListTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*ListTensorboardTimeSeriesResponse, error)
 	// Deletes a TensorboardTimeSeries.
 	DeleteTensorboardTimeSeries(ctx context.Context, in *DeleteTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
 	// Reads multiple TensorboardTimeSeries' data. The data point number limit is
 	// 1000 for scalars, 100 for tensors and blob references. If the number of
 	// data points stored is less than the limit, all data is returned.
 	// Otherwise, the number limit of data points is randomly selected from
 	// this time series and returned.
 	BatchReadTensorboardTimeSeriesData(ctx context.Context, in *BatchReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*BatchReadTensorboardTimeSeriesDataResponse, error)
 	// Reads a TensorboardTimeSeries' data. By default, if the number of data
 	// points stored is less than 1000, all data is returned. Otherwise, 1000
 	// data points is randomly selected from this time series and returned.
 	// This value can be changed by changing max_data_points, which can't be
 	// greater than 10k.
 	ReadTensorboardTimeSeriesData(ctx context.Context, in *ReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ReadTensorboardTimeSeriesDataResponse, error)
 	// Gets bytes of TensorboardBlobs.
 	// This is to allow reading blob data stored in consumer project's Cloud
 	// Storage bucket without users having to obtain Cloud Storage access
 	// permission.
 	ReadTensorboardBlobData(ctx context.Context, in *ReadTensorboardBlobDataRequest, opts ...grpc.CallOption) (TensorboardService_ReadTensorboardBlobDataClient, error)
 	// Write time series data points of multiple TensorboardTimeSeries in multiple
 	// TensorboardRun's. If any data fail to be ingested, an error is returned.
 	WriteTensorboardExperimentData(ctx context.Context, in *WriteTensorboardExperimentDataRequest, opts ...grpc.CallOption) (*WriteTensorboardExperimentDataResponse, error)
 	// Write time series data points into multiple TensorboardTimeSeries under
 	// a TensorboardRun. If any data fail to be ingested, an error is returned.
 	WriteTensorboardRunData(ctx context.Context, in *WriteTensorboardRunDataRequest, opts ...grpc.CallOption) (*WriteTensorboardRunDataResponse, error)
 	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
 	// responses.
 	ExportTensorboardTimeSeriesData(ctx context.Context, in *ExportTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ExportTensorboardTimeSeriesDataResponse, error)
 }

 type tensorboardServiceClient struct {
 	cc grpc.ClientConnInterface
 }

 func NewTensorboardServiceClient(cc grpc.ClientConnInterface) TensorboardServiceClient {
 	return &tensorboardServiceClient{cc}
 }

 func (c *tensorboardServiceClient) CreateTensorboard(ctx context.Context, in *CreateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
 	out := new(longrunningpb.Operation)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboard", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) GetTensorboard(ctx context.Context, in *GetTensorboardRequest, opts ...grpc.CallOption) (*Tensorboard, error) {
 	out := new(Tensorboard)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboard", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
 	out := new(longrunningpb.Operation)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboard", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ListTensorboards(ctx context.Context, in *ListTensorboardsRequest, opts ...grpc.CallOption) (*ListTensorboardsResponse, error) {
 	out := new(ListTensorboardsResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboards", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) DeleteTensorboard(ctx context.Context, in *DeleteTensorboardRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
 	out := new(longrunningpb.Operation)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboard", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ReadTensorboardUsage(ctx context.Context, in *ReadTensorboardUsageRequest, opts ...grpc.CallOption) (*ReadTensorboardUsageResponse, error) {
 	out := new(ReadTensorboardUsageResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardUsage", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ReadTensorboardSize(ctx context.Context, in *ReadTensorboardSizeRequest, opts ...grpc.CallOption) (*ReadTensorboardSizeResponse, error) {
 	out := new(ReadTensorboardSizeResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardSize", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error) {
 	out := new(TensorboardExperiment)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboardExperiment", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) GetTensorboardExperiment(ctx context.Context, in *GetTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error) {
 	out := new(TensorboardExperiment)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboardExperiment", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) UpdateTensorboardExperiment(ctx context.Context, in *UpdateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error) {
 	out := new(TensorboardExperiment)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboardExperiment", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ListTensorboardExperiments(ctx context.Context, in *ListTensorboardExperimentsRequest, opts ...grpc.CallOption) (*ListTensorboardExperimentsResponse, error) {
 	out := new(ListTensorboardExperimentsResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboardExperiments", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) DeleteTensorboardExperiment(ctx context.Context, in *DeleteTensorboardExperimentRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
 	out := new(longrunningpb.Operation)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboardExperiment", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) CreateTensorboardRun(ctx context.Context, in *CreateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error) {
 	out := new(TensorboardRun)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboardRun", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) BatchCreateTensorboardRuns(ctx context.Context, in *BatchCreateTensorboardRunsRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardRunsResponse, error) {
 	out := new(BatchCreateTensorboardRunsResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardRuns", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error) {
 	out := new(TensorboardRun)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboardRun", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) UpdateTensorboardRun(ctx context.Context, in *UpdateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error) {
 	out := new(TensorboardRun)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboardRun", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ListTensorboardRuns(ctx context.Context, in *ListTensorboardRunsRequest, opts ...grpc.CallOption) (*ListTensorboardRunsResponse, error) {
 	out := new(ListTensorboardRunsResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboardRuns", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) DeleteTensorboardRun(ctx context.Context, in *DeleteTensorboardRunRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
 	out := new(longrunningpb.Operation)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboardRun", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) BatchCreateTensorboardTimeSeries(ctx context.Context, in *BatchCreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*BatchCreateTensorboardTimeSeriesResponse, error) {
 	out := new(BatchCreateTensorboardTimeSeriesResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardTimeSeries", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error) {
 	out := new(TensorboardTimeSeries)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboardTimeSeries", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) GetTensorboardTimeSeries(ctx context.Context, in *GetTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error) {
 	out := new(TensorboardTimeSeries)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboardTimeSeries", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) UpdateTensorboardTimeSeries(ctx context.Context, in *UpdateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error) {
 	out := new(TensorboardTimeSeries)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboardTimeSeries", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ListTensorboardTimeSeries(ctx context.Context, in *ListTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*ListTensorboardTimeSeriesResponse, error) {
 	out := new(ListTensorboardTimeSeriesResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboardTimeSeries", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) DeleteTensorboardTimeSeries(ctx context.Context, in *DeleteTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
 	out := new(longrunningpb.Operation)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboardTimeSeries", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) BatchReadTensorboardTimeSeriesData(ctx context.Context, in *BatchReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*BatchReadTensorboardTimeSeriesDataResponse, error) {
 	out := new(BatchReadTensorboardTimeSeriesDataResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchReadTensorboardTimeSeriesData", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ReadTensorboardTimeSeriesData(ctx context.Context, in *ReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ReadTensorboardTimeSeriesDataResponse, error) {
 	out := new(ReadTensorboardTimeSeriesDataResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardTimeSeriesData", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ReadTensorboardBlobData(ctx context.Context, in *ReadTensorboardBlobDataRequest, opts ...grpc.CallOption) (TensorboardService_ReadTensorboardBlobDataClient, error) {
 	stream, err := c.cc.NewStream(ctx, &_TensorboardService_serviceDesc.Streams[0], "/google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardBlobData", opts...)
 	if err != nil {
 		return nil, err
 	}
 	x := &tensorboardServiceReadTensorboardBlobDataClient{stream}
 	if err := x.ClientStream.SendMsg(in); err != nil {
 		return nil, err
 	}
 	if err := x.ClientStream.CloseSend(); err != nil {
 		return nil, err
 	}
 	return x, nil
 }

 type TensorboardService_ReadTensorboardBlobDataClient interface {
 	Recv() (*ReadTensorboardBlobDataResponse, error)
 	grpc.ClientStream
 }

 type tensorboardServiceReadTensorboardBlobDataClient struct {
 	grpc.ClientStream
 }

 func (x *tensorboardServiceReadTensorboardBlobDataClient) Recv() (*ReadTensorboardBlobDataResponse, error) {
 	m := new(ReadTensorboardBlobDataResponse)
 	if err := x.ClientStream.RecvMsg(m); err != nil {
 		return nil, err
 	}
 	return m, nil
 }

 func (c *tensorboardServiceClient) WriteTensorboardExperimentData(ctx context.Context, in *WriteTensorboardExperimentDataRequest, opts ...grpc.CallOption) (*WriteTensorboardExperimentDataResponse, error) {
 	out := new(WriteTensorboardExperimentDataResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/WriteTensorboardExperimentData", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) WriteTensorboardRunData(ctx context.Context, in *WriteTensorboardRunDataRequest, opts ...grpc.CallOption) (*WriteTensorboardRunDataResponse, error) {
 	out := new(WriteTensorboardRunDataResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/WriteTensorboardRunData", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 func (c *tensorboardServiceClient) ExportTensorboardTimeSeriesData(ctx context.Context, in *ExportTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ExportTensorboardTimeSeriesDataResponse, error) {
 	out := new(ExportTensorboardTimeSeriesDataResponse)
 	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.TensorboardService/ExportTensorboardTimeSeriesData", in, out, opts...)
 	if err != nil {
 		return nil, err
 	}
 	return out, nil
 }

 // TensorboardServiceServer is the server API for TensorboardService service.
 type TensorboardServiceServer interface {
 	// Creates a Tensorboard.
 	CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunningpb.Operation, error)
 	// Gets a Tensorboard.
 	GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)
 	// Updates a Tensorboard.
 	UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error)
 	// Lists Tensorboards in a Location.
 	ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)
 	// Deletes a Tensorboard.
 	DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error)
 	// Returns a list of monthly active users for a given TensorBoard instance.
 	ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error)
 	// Returns the storage size for a given TensorBoard instance.
 	ReadTensorboardSize(context.Context, *ReadTensorboardSizeRequest) (*ReadTensorboardSizeResponse, error)
 	// Creates a TensorboardExperiment.
 	CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)
 	// Gets a TensorboardExperiment.
 	GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)
 	// Updates a TensorboardExperiment.
 	UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)
 	// Lists TensorboardExperiments in a Location.
 	ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)
 	// Deletes a TensorboardExperiment.
 	DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunningpb.Operation, error)
 	// Creates a TensorboardRun.
 	CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)
 	// Batch create TensorboardRuns.
 	BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error)
 	// Gets a TensorboardRun.
 	GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)
 	// Updates a TensorboardRun.
 	UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)
 	// Lists TensorboardRuns in a Location.
 	ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)
 	// Deletes a TensorboardRun.
 	DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunningpb.Operation, error)
 	// Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
 	BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error)
 	// Creates a TensorboardTimeSeries.
 	CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
 	// Gets a TensorboardTimeSeries.
 	GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
 	// Updates a TensorboardTimeSeries.
 	UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
 	// Lists TensorboardTimeSeries in a Location.
 	ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)
 	// Deletes a TensorboardTimeSeries.
 	DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunningpb.Operation, error)
 	// Reads multiple TensorboardTimeSeries' data. The data point number limit is
 	// 1000 for scalars, 100 for tensors and blob references. If the number of
 	// data points stored is less than the limit, all data is returned.
 	// Otherwise, the number limit of data points is randomly selected from
 	// this time series and returned.
 	BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error)
 	// Reads a TensorboardTimeSeries' data. By default, if the number of data
 	// points stored is less than 1000, all data is returned. Otherwise, 1000
 	// data points is randomly selected from this time series and returned.
 	// This value can be changed by changing max_data_points, which can't be
 	// greater than 10k.
 	ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)
 	// Gets bytes of TensorboardBlobs.
 	// This is to allow reading blob data stored in consumer project's Cloud
 	// Storage bucket without users having to obtain Cloud Storage access
 	// permission.
 	ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error
 	// Write time series data points of multiple TensorboardTimeSeries in multiple
 	// TensorboardRun's. If any data fail to be ingested, an error is returned.
 	WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error)
 	// Write time series data points into multiple TensorboardTimeSeries under
 	// a TensorboardRun. If any data fail to be ingested, an error is returned.
 	WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)
 	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
 	// responses.
 	ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)
 }

 // UnimplementedTensorboardServiceServer can be embedded to have forward compatible implementations.
 type UnimplementedTensorboardServiceServer struct {
 }

 func (*UnimplementedTensorboardServiceServer) CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunningpb.Operation, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method CreateTensorboard not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method GetTensorboard not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunningpb.Operation, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method UpdateTensorboard not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ListTensorboards not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunningpb.Operation, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method DeleteTensorboard not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ReadTensorboardUsage(context.Context, *ReadTensorboardUsageRequest) (*ReadTensorboardUsageResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ReadTensorboardUsage not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ReadTensorboardSize(context.Context, *ReadTensorboardSizeRequest) (*ReadTensorboardSizeResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ReadTensorboardSize not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method CreateTensorboardExperiment not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method GetTensorboardExperiment not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method UpdateTensorboardExperiment not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ListTensorboardExperiments not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunningpb.Operation, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method DeleteTensorboardExperiment not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method CreateTensorboardRun not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardRuns(context.Context, *BatchCreateTensorboardRunsRequest) (*BatchCreateTensorboardRunsResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method BatchCreateTensorboardRuns not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method GetTensorboardRun not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method UpdateTensorboardRun not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ListTensorboardRuns not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunningpb.Operation, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method DeleteTensorboardRun not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) BatchCreateTensorboardTimeSeries(context.Context, *BatchCreateTensorboardTimeSeriesRequest) (*BatchCreateTensorboardTimeSeriesResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method BatchCreateTensorboardTimeSeries not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method CreateTensorboardTimeSeries not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method GetTensorboardTimeSeries not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method UpdateTensorboardTimeSeries not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ListTensorboardTimeSeries not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunningpb.Operation, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method DeleteTensorboardTimeSeries not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) BatchReadTensorboardTimeSeriesData(context.Context, *BatchReadTensorboardTimeSeriesDataRequest) (*BatchReadTensorboardTimeSeriesDataResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method BatchReadTensorboardTimeSeriesData not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ReadTensorboardTimeSeriesData not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error {
 	return status.Errorf(codes.Unimplemented, "method ReadTensorboardBlobData not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) WriteTensorboardExperimentData(context.Context, *WriteTensorboardExperimentDataRequest) (*WriteTensorboardExperimentDataResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method WriteTensorboardExperimentData not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method WriteTensorboardRunData not implemented")
 }
 func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method ExportTensorboardTimeSeriesData not implemented")
 }

 func RegisterTensorboardServiceServer(s *grpc.Server, srv TensorboardServiceServer) {
 	s.RegisterService(&_TensorboardService_serviceDesc, srv)
 }

 func _TensorboardService_CreateTensorboard_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(CreateTensorboardRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).CreateTensorboard(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboard",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).CreateTensorboard(ctx, req.(*CreateTensorboardRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_GetTensorboard_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(GetTensorboardRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).GetTensorboard(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboard",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).GetTensorboard(ctx, req.(*GetTensorboardRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_UpdateTensorboard_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(UpdateTensorboardRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).UpdateTensorboard(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboard",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).UpdateTensorboard(ctx, req.(*UpdateTensorboardRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ListTensorboards_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ListTensorboardsRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ListTensorboards(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboards",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ListTensorboards(ctx, req.(*ListTensorboardsRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_DeleteTensorboard_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(DeleteTensorboardRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).DeleteTensorboard(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboard",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).DeleteTensorboard(ctx, req.(*DeleteTensorboardRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ReadTensorboardUsage_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ReadTensorboardUsageRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ReadTensorboardUsage(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardUsage",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ReadTensorboardUsage(ctx, req.(*ReadTensorboardUsageRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ReadTensorboardSize_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ReadTensorboardSizeRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ReadTensorboardSize(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardSize",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ReadTensorboardSize(ctx, req.(*ReadTensorboardSizeRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_CreateTensorboardExperiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(CreateTensorboardExperimentRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).CreateTensorboardExperiment(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboardExperiment",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).CreateTensorboardExperiment(ctx, req.(*CreateTensorboardExperimentRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_GetTensorboardExperiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(GetTensorboardExperimentRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).GetTensorboardExperiment(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboardExperiment",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).GetTensorboardExperiment(ctx, req.(*GetTensorboardExperimentRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_UpdateTensorboardExperiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(UpdateTensorboardExperimentRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).UpdateTensorboardExperiment(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboardExperiment",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).UpdateTensorboardExperiment(ctx, req.(*UpdateTensorboardExperimentRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ListTensorboardExperiments_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ListTensorboardExperimentsRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ListTensorboardExperiments(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboardExperiments",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ListTensorboardExperiments(ctx, req.(*ListTensorboardExperimentsRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_DeleteTensorboardExperiment_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(DeleteTensorboardExperimentRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).DeleteTensorboardExperiment(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboardExperiment",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).DeleteTensorboardExperiment(ctx, req.(*DeleteTensorboardExperimentRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_CreateTensorboardRun_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(CreateTensorboardRunRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).CreateTensorboardRun(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboardRun",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).CreateTensorboardRun(ctx, req.(*CreateTensorboardRunRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_BatchCreateTensorboardRuns_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(BatchCreateTensorboardRunsRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).BatchCreateTensorboardRuns(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardRuns",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).BatchCreateTensorboardRuns(ctx, req.(*BatchCreateTensorboardRunsRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_GetTensorboardRun_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(GetTensorboardRunRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).GetTensorboardRun(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboardRun",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).GetTensorboardRun(ctx, req.(*GetTensorboardRunRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_UpdateTensorboardRun_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(UpdateTensorboardRunRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).UpdateTensorboardRun(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboardRun",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).UpdateTensorboardRun(ctx, req.(*UpdateTensorboardRunRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ListTensorboardRuns_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ListTensorboardRunsRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ListTensorboardRuns(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboardRuns",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ListTensorboardRuns(ctx, req.(*ListTensorboardRunsRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_DeleteTensorboardRun_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(DeleteTensorboardRunRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).DeleteTensorboardRun(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboardRun",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).DeleteTensorboardRun(ctx, req.(*DeleteTensorboardRunRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_BatchCreateTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(BatchCreateTensorboardTimeSeriesRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).BatchCreateTensorboardTimeSeries(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchCreateTensorboardTimeSeries",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).BatchCreateTensorboardTimeSeries(ctx, req.(*BatchCreateTensorboardTimeSeriesRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_CreateTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(CreateTensorboardTimeSeriesRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).CreateTensorboardTimeSeries(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/CreateTensorboardTimeSeries",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).CreateTensorboardTimeSeries(ctx, req.(*CreateTensorboardTimeSeriesRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_GetTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(GetTensorboardTimeSeriesRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).GetTensorboardTimeSeries(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/GetTensorboardTimeSeries",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).GetTensorboardTimeSeries(ctx, req.(*GetTensorboardTimeSeriesRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_UpdateTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(UpdateTensorboardTimeSeriesRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).UpdateTensorboardTimeSeries(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/UpdateTensorboardTimeSeries",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).UpdateTensorboardTimeSeries(ctx, req.(*UpdateTensorboardTimeSeriesRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ListTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ListTensorboardTimeSeriesRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ListTensorboardTimeSeries(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ListTensorboardTimeSeries",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ListTensorboardTimeSeries(ctx, req.(*ListTensorboardTimeSeriesRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_DeleteTensorboardTimeSeries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(DeleteTensorboardTimeSeriesRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).DeleteTensorboardTimeSeries(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/DeleteTensorboardTimeSeries",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).DeleteTensorboardTimeSeries(ctx, req.(*DeleteTensorboardTimeSeriesRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_BatchReadTensorboardTimeSeriesData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(BatchReadTensorboardTimeSeriesDataRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).BatchReadTensorboardTimeSeriesData(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/BatchReadTensorboardTimeSeriesData",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).BatchReadTensorboardTimeSeriesData(ctx, req.(*BatchReadTensorboardTimeSeriesDataRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ReadTensorboardTimeSeriesData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ReadTensorboardTimeSeriesDataRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ReadTensorboardTimeSeriesData(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ReadTensorboardTimeSeriesData",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ReadTensorboardTimeSeriesData(ctx, req.(*ReadTensorboardTimeSeriesDataRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ReadTensorboardBlobData_Handler(srv interface{}, stream grpc.ServerStream) error {
 	m := new(ReadTensorboardBlobDataRequest)
 	if err := stream.RecvMsg(m); err != nil {
 		return err
 	}
 	return srv.(TensorboardServiceServer).ReadTensorboardBlobData(m, &tensorboardServiceReadTensorboardBlobDataServer{stream})
 }

 type TensorboardService_ReadTensorboardBlobDataServer interface {
 	Send(*ReadTensorboardBlobDataResponse) error
 	grpc.ServerStream
 }

 type tensorboardServiceReadTensorboardBlobDataServer struct {
 	grpc.ServerStream
 }

 func (x *tensorboardServiceReadTensorboardBlobDataServer) Send(m *ReadTensorboardBlobDataResponse) error {
 	return x.ServerStream.SendMsg(m)
 }

 func _TensorboardService_WriteTensorboardExperimentData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(WriteTensorboardExperimentDataRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).WriteTensorboardExperimentData(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/WriteTensorboardExperimentData",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).WriteTensorboardExperimentData(ctx, req.(*WriteTensorboardExperimentDataRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_WriteTensorboardRunData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(WriteTensorboardRunDataRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).WriteTensorboardRunData(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/WriteTensorboardRunData",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).WriteTensorboardRunData(ctx, req.(*WriteTensorboardRunDataRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 func _TensorboardService_ExportTensorboardTimeSeriesData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
 	in := new(ExportTensorboardTimeSeriesDataRequest)
 	if err := dec(in); err != nil {
 		return nil, err
 	}
 	if interceptor == nil {
 		return srv.(TensorboardServiceServer).ExportTensorboardTimeSeriesData(ctx, in)
 	}
 	info := &grpc.UnaryServerInfo{
 		Server:     srv,
 		FullMethod: "/google.cloud.aiplatform.v1beta1.TensorboardService/ExportTensorboardTimeSeriesData",
 	}
 	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
 		return srv.(TensorboardServiceServer).ExportTensorboardTimeSeriesData(ctx, req.(*ExportTensorboardTimeSeriesDataRequest))
 	}
 	return interceptor(ctx, in, info, handler)
 }

 var _TensorboardService_serviceDesc = grpc.ServiceDesc{
 	ServiceName: "google.cloud.aiplatform.v1beta1.TensorboardService",
 	HandlerType: (*TensorboardServiceServer)(nil),
 	Methods: []grpc.MethodDesc{
 		{
 			MethodName: "CreateTensorboard",
 			Handler:    _TensorboardService_CreateTensorboard_Handler,
 		},
 		{
 			MethodName: "GetTensorboard",
 			Handler:    _TensorboardService_GetTensorboard_Handler,
 		},
 		{
 			MethodName: "UpdateTensorboard",
 			Handler:    _TensorboardService_UpdateTensorboard_Handler,
 		},
 		{
 			MethodName: "ListTensorboards",
 			Handler:    _TensorboardService_ListTensorboards_Handler,
 		},
 		{
 			MethodName: "DeleteTensorboard",
 			Handler:    _TensorboardService_DeleteTensorboard_Handler,
 		},
 		{
 			MethodName: "ReadTensorboardUsage",
 			Handler:    _TensorboardService_ReadTensorboardUsage_Handler,
 		},
 		{
 			MethodName: "ReadTensorboardSize",
 			Handler:    _TensorboardService_ReadTensorboardSize_Handler,
 		},
 		{
 			MethodName: "CreateTensorboardExperiment",
 			Handler:    _TensorboardService_CreateTensorboardExperiment_Handler,
 		},
 		{
 			MethodName: "GetTensorboardExperiment",
 			Handler:    _TensorboardService_GetTensorboardExperiment_Handler,
 		},
 		{
 			MethodName: "UpdateTensorboardExperiment",
 			Handler:    _TensorboardService_UpdateTensorboardExperiment_Handler,
 		},
 		{
 			MethodName: "ListTensorboardExperiments",
 			Handler:    _TensorboardService_ListTensorboardExperiments_Handler,
 		},
 		{
 			MethodName: "DeleteTensorboardExperiment",
 			Handler:    _TensorboardService_DeleteTensorboardExperiment_Handler,
 		},
 		{
 			MethodName: "CreateTensorboardRun",
 			Handler:    _TensorboardService_CreateTensorboardRun_Handler,
 		},
 		{
 			MethodName: "BatchCreateTensorboardRuns",
 			Handler:    _TensorboardService_BatchCreateTensorboardRuns_Handler,
 		},
 		{
 			MethodName: "GetTensorboardRun",
 			Handler:    _TensorboardService_GetTensorboardRun_Handler,
 		},
 		{
 			MethodName: "UpdateTensorboardRun",
 			Handler:    _TensorboardService_UpdateTensorboardRun_Handler,
 		},
 		{
 			MethodName: "ListTensorboardRuns",
 			Handler:    _TensorboardService_ListTensorboardRuns_Handler,
 		},
 		{
 			MethodName: "DeleteTensorboardRun",
 			Handler:    _TensorboardService_DeleteTensorboardRun_Handler,
 		},
 		{
 			MethodName: "BatchCreateTensorboardTimeSeries",
 			Handler:    _TensorboardService_BatchCreateTensorboardTimeSeries_Handler,
 		},
 		{
 			MethodName: "CreateTensorboardTimeSeries",
 			Handler:    _TensorboardService_CreateTensorboardTimeSeries_Handler,
 		},
 		{
 			MethodName: "GetTensorboardTimeSeries",
 			Handler:    _TensorboardService_GetTensorboardTimeSeries_Handler,
 		},
 		{
 			MethodName: "UpdateTensorboardTimeSeries",
 			Handler:    _TensorboardService_UpdateTensorboardTimeSeries_Handler,
 		},
 		{
 			MethodName: "ListTensorboardTimeSeries",
 			Handler:    _TensorboardService_ListTensorboardTimeSeries_Handler,
 		},
 		{
 			MethodName: "DeleteTensorboardTimeSeries",
 			Handler:    _TensorboardService_DeleteTensorboardTimeSeries_Handler,
 		},
 		{
 			MethodName: "BatchReadTensorboardTimeSeriesData",
 			Handler:    _TensorboardService_BatchReadTensorboardTimeSeriesData_Handler,
 		},
 		{
 			MethodName: "ReadTensorboardTimeSeriesData",
 			Handler:    _TensorboardService_ReadTensorboardTimeSeriesData_Handler,
 		},
 		{
 			MethodName: "WriteTensorboardExperimentData",
 			Handler:    _TensorboardService_WriteTensorboardExperimentData_Handler,
 		},
 		{
 			MethodName: "WriteTensorboardRunData",
 			Handler:    _TensorboardService_WriteTensorboardRunData_Handler,
 		},
 		{
 			MethodName: "ExportTensorboardTimeSeriesData",
 			Handler:    _TensorboardService_ExportTensorboardTimeSeriesData_Handler,
 		},
 	},
 	Streams: []grpc.StreamDesc{
 		{
 			StreamName:    "ReadTensorboardBlobData",
 			Handler:       _TensorboardService_ReadTensorboardBlobData_Handler,
 			ServerStreams: true,
 		},
 	},
 	Metadata: "google/cloud/aiplatform/v1beta1/tensorboard_service.proto",
 }