// Copyright 2022 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 v1.26.0
// 	protoc        v3.12.2
// source: google/cloud/aiplatform/v1/job_service.proto

package aiplatform

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

	_ "google.golang.org/genproto/googleapis/api/annotations"
	longrunning "google.golang.org/genproto/googleapis/longrunning"
	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"
	emptypb "google.golang.org/protobuf/types/known/emptypb"
	fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb"
	timestamppb "google.golang.org/protobuf/types/known/timestamppb"
)

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 [JobService.CreateCustomJob][google.cloud.aiplatform.v1.JobService.CreateCustomJob].
type CreateCustomJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CreateCustomJobRequest) Reset() {
	*x = CreateCustomJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CreateCustomJobRequest) ProtoMessage() {}

func (x *CreateCustomJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CreateCustomJobRequest.ProtoReflect.Descriptor instead.
func (*CreateCustomJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{0}
}

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

func (x *CreateCustomJobRequest) GetCustomJob() *CustomJob {
	if x != nil {
		return x.CustomJob
	}
	return nil
}

// Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob].
type GetCustomJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *GetCustomJobRequest) Reset() {
	*x = GetCustomJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetCustomJobRequest) ProtoMessage() {}

func (x *GetCustomJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 GetCustomJobRequest.ProtoReflect.Descriptor instead.
func (*GetCustomJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{1}
}

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

// Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs].
type ListCustomJobsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location to list the CustomJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListCustomJobsResponse.next_page_token] of the previous
	// [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}

func (x *ListCustomJobsRequest) Reset() {
	*x = ListCustomJobsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[2]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListCustomJobsRequest) ProtoMessage() {}

func (x *ListCustomJobsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListCustomJobsRequest.ProtoReflect.Descriptor instead.
func (*ListCustomJobsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{2}
}

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

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

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

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

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

// Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1.JobService.ListCustomJobs]
type ListCustomJobsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of CustomJobs in the requested page.
	CustomJobs []*CustomJob `protobuf:"bytes,1,rep,name=custom_jobs,json=customJobs,proto3" json:"custom_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1.ListCustomJobsRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListCustomJobsResponse) Reset() {
	*x = ListCustomJobsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[3]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListCustomJobsResponse) ProtoMessage() {}

func (x *ListCustomJobsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListCustomJobsResponse.ProtoReflect.Descriptor instead.
func (*ListCustomJobsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{3}
}

func (x *ListCustomJobsResponse) GetCustomJobs() []*CustomJob {
	if x != nil {
		return x.CustomJobs
	}
	return nil
}

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

// Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1.JobService.DeleteCustomJob].
type DeleteCustomJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *DeleteCustomJobRequest) Reset() {
	*x = DeleteCustomJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[4]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteCustomJobRequest) ProtoMessage() {}

func (x *DeleteCustomJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 DeleteCustomJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteCustomJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{4}
}

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

// Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1.JobService.CancelCustomJob].
type CancelCustomJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the CustomJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *CancelCustomJobRequest) Reset() {
	*x = CancelCustomJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[5]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CancelCustomJobRequest) ProtoMessage() {}

func (x *CancelCustomJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CancelCustomJobRequest.ProtoReflect.Descriptor instead.
func (*CancelCustomJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{5}
}

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

// Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob].
type CreateDataLabelingJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CreateDataLabelingJobRequest) Reset() {
	*x = CreateDataLabelingJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[6]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CreateDataLabelingJobRequest) ProtoMessage() {}

func (x *CreateDataLabelingJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CreateDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*CreateDataLabelingJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{6}
}

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

func (x *CreateDataLabelingJobRequest) GetDataLabelingJob() *DataLabelingJob {
	if x != nil {
		return x.DataLabelingJob
	}
	return nil
}

// Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1.JobService.GetDataLabelingJob].
type GetDataLabelingJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *GetDataLabelingJobRequest) Reset() {
	*x = GetDataLabelingJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[7]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetDataLabelingJobRequest) ProtoMessage() {}

func (x *GetDataLabelingJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 GetDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*GetDataLabelingJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{7}
}

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

// Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
type ListDataLabelingJobsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The parent of the DataLabelingJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read. FieldMask represents a set of
	// symbolic field paths. For example, the mask can be `paths: "name"`. The
	// "name" here is a field in DataLabelingJob.
	// If this field is not set, all fields of the DataLabelingJob are returned.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order by
	// default.
	// Use `desc` after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListDataLabelingJobsRequest) Reset() {
	*x = ListDataLabelingJobsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[8]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListDataLabelingJobsRequest) ProtoMessage() {}

func (x *ListDataLabelingJobsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListDataLabelingJobsRequest.ProtoReflect.Descriptor instead.
func (*ListDataLabelingJobsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{8}
}

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

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

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

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

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

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

// Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs].
type ListDataLabelingJobsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A list of DataLabelingJobs that matches the specified filter in the
	// request.
	DataLabelingJobs []*DataLabelingJob `protobuf:"bytes,1,rep,name=data_labeling_jobs,json=dataLabelingJobs,proto3" json:"data_labeling_jobs,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListDataLabelingJobsResponse) Reset() {
	*x = ListDataLabelingJobsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[9]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListDataLabelingJobsResponse) ProtoMessage() {}

func (x *ListDataLabelingJobsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListDataLabelingJobsResponse.ProtoReflect.Descriptor instead.
func (*ListDataLabelingJobsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{9}
}

func (x *ListDataLabelingJobsResponse) GetDataLabelingJobs() []*DataLabelingJob {
	if x != nil {
		return x.DataLabelingJobs
	}
	return nil
}

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

// Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob].
type DeleteDataLabelingJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *DeleteDataLabelingJobRequest) Reset() {
	*x = DeleteDataLabelingJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[10]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteDataLabelingJobRequest) ProtoMessage() {}

func (x *DeleteDataLabelingJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 DeleteDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteDataLabelingJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{10}
}

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

// Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob].
type CancelDataLabelingJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CancelDataLabelingJobRequest) Reset() {
	*x = CancelDataLabelingJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[11]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CancelDataLabelingJobRequest) ProtoMessage() {}

func (x *CancelDataLabelingJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CancelDataLabelingJobRequest.ProtoReflect.Descriptor instead.
func (*CancelDataLabelingJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{11}
}

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

// Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob].
type CreateHyperparameterTuningJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CreateHyperparameterTuningJobRequest) Reset() {
	*x = CreateHyperparameterTuningJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[12]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CreateHyperparameterTuningJobRequest) ProtoMessage() {}

func (x *CreateHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CreateHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*CreateHyperparameterTuningJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{12}
}

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

func (x *CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob() *HyperparameterTuningJob {
	if x != nil {
		return x.HyperparameterTuningJob
	}
	return nil
}

// Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob].
type GetHyperparameterTuningJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *GetHyperparameterTuningJobRequest) Reset() {
	*x = GetHyperparameterTuningJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[13]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetHyperparameterTuningJobRequest) ProtoMessage() {}

func (x *GetHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 GetHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*GetHyperparameterTuningJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{13}
}

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

// Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs].
type ListHyperparameterTuningJobsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location to list the HyperparameterTuningJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
	// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}

func (x *ListHyperparameterTuningJobsRequest) Reset() {
	*x = ListHyperparameterTuningJobsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[14]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListHyperparameterTuningJobsRequest) ProtoMessage() {}

func (x *ListHyperparameterTuningJobsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListHyperparameterTuningJobsRequest.ProtoReflect.Descriptor instead.
func (*ListHyperparameterTuningJobsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{14}
}

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

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

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

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

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

// Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs]
type ListHyperparameterTuningJobsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of HyperparameterTuningJobs in the requested page.
	// [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
	HyperparameterTuningJobs []*HyperparameterTuningJob `protobuf:"bytes,1,rep,name=hyperparameter_tuning_jobs,json=hyperparameterTuningJobs,proto3" json:"hyperparameter_tuning_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
	// page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListHyperparameterTuningJobsResponse) Reset() {
	*x = ListHyperparameterTuningJobsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[15]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListHyperparameterTuningJobsResponse) ProtoMessage() {}

func (x *ListHyperparameterTuningJobsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListHyperparameterTuningJobsResponse.ProtoReflect.Descriptor instead.
func (*ListHyperparameterTuningJobsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{15}
}

func (x *ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs() []*HyperparameterTuningJob {
	if x != nil {
		return x.HyperparameterTuningJobs
	}
	return nil
}

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

// Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob].
type DeleteHyperparameterTuningJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *DeleteHyperparameterTuningJobRequest) Reset() {
	*x = DeleteHyperparameterTuningJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[16]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteHyperparameterTuningJobRequest) ProtoMessage() {}

func (x *DeleteHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 DeleteHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteHyperparameterTuningJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{16}
}

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

// Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob].
type CancelHyperparameterTuningJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the HyperparameterTuningJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *CancelHyperparameterTuningJobRequest) Reset() {
	*x = CancelHyperparameterTuningJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[17]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CancelHyperparameterTuningJobRequest) ProtoMessage() {}

func (x *CancelHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CancelHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.
func (*CancelHyperparameterTuningJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{17}
}

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

// Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob].
type CreateBatchPredictionJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CreateBatchPredictionJobRequest) Reset() {
	*x = CreateBatchPredictionJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[18]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CreateBatchPredictionJobRequest) ProtoMessage() {}

func (x *CreateBatchPredictionJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CreateBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*CreateBatchPredictionJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{18}
}

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

func (x *CreateBatchPredictionJobRequest) GetBatchPredictionJob() *BatchPredictionJob {
	if x != nil {
		return x.BatchPredictionJob
	}
	return nil
}

// Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob].
type GetBatchPredictionJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *GetBatchPredictionJobRequest) Reset() {
	*x = GetBatchPredictionJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[19]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetBatchPredictionJobRequest) ProtoMessage() {}

func (x *GetBatchPredictionJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 GetBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*GetBatchPredictionJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{19}
}

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

// Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs].
type ListBatchPredictionJobsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location to list the BatchPredictionJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	//   * `model_display_name` supports = and !=
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.next_page_token] of the previous
	// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}

func (x *ListBatchPredictionJobsRequest) Reset() {
	*x = ListBatchPredictionJobsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[20]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListBatchPredictionJobsRequest) ProtoMessage() {}

func (x *ListBatchPredictionJobsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListBatchPredictionJobsRequest.ProtoReflect.Descriptor instead.
func (*ListBatchPredictionJobsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{20}
}

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

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

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

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

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

// Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs]
type ListBatchPredictionJobsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of BatchPredictionJobs in the requested page.
	BatchPredictionJobs []*BatchPredictionJob `protobuf:"bytes,1,rep,name=batch_prediction_jobs,json=batchPredictionJobs,proto3" json:"batch_prediction_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.page_token] to obtain that
	// page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListBatchPredictionJobsResponse) Reset() {
	*x = ListBatchPredictionJobsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[21]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListBatchPredictionJobsResponse) ProtoMessage() {}

func (x *ListBatchPredictionJobsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListBatchPredictionJobsResponse.ProtoReflect.Descriptor instead.
func (*ListBatchPredictionJobsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{21}
}

func (x *ListBatchPredictionJobsResponse) GetBatchPredictionJobs() []*BatchPredictionJob {
	if x != nil {
		return x.BatchPredictionJobs
	}
	return nil
}

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

// Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob].
type DeleteBatchPredictionJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *DeleteBatchPredictionJobRequest) Reset() {
	*x = DeleteBatchPredictionJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[22]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteBatchPredictionJobRequest) ProtoMessage() {}

func (x *DeleteBatchPredictionJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 DeleteBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteBatchPredictionJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{22}
}

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

// Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob].
type CancelBatchPredictionJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the BatchPredictionJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *CancelBatchPredictionJobRequest) Reset() {
	*x = CancelBatchPredictionJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[23]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CancelBatchPredictionJobRequest) ProtoMessage() {}

func (x *CancelBatchPredictionJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CancelBatchPredictionJobRequest.ProtoReflect.Descriptor instead.
func (*CancelBatchPredictionJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{23}
}

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

// Request message for
// [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob].
type CreateModelDeploymentMonitoringJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CreateModelDeploymentMonitoringJobRequest) Reset() {
	*x = CreateModelDeploymentMonitoringJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[24]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage() {}

func (x *CreateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 CreateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*CreateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{24}
}

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

func (x *CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob {
	if x != nil {
		return x.ModelDeploymentMonitoringJob
	}
	return nil
}

// Request message for
// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
type SearchModelDeploymentMonitoringStatsAnomaliesRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. ModelDeploymentMonitoring Job resource name.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	ModelDeploymentMonitoringJob string `protobuf:"bytes,1,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"`
	// Required. The DeployedModel ID of the
	// [ModelDeploymentMonitoringObjectiveConfig.deployed_model_id].
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The feature display name. If specified, only return the stats belonging to
	// this feature. Format:
	// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name][google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name],
	// example: "user_destination".
	FeatureDisplayName string `protobuf:"bytes,3,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
	// Required. Objectives of the stats to retrieve.
	Objectives []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective `protobuf:"bytes,4,rep,name=objectives,proto3" json:"objectives,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,5,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token received from a previous
	// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
	// call.
	PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// The earliest timestamp of stats being generated.
	// If not set, indicates fetching stats till the earliest possible one.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// The latest timestamp of stats being generated.
	// If not set, indicates feching stats till the latest possible one.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset() {
	*x = SearchModelDeploymentMonitoringStatsAnomaliesRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[25]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage() {}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 SearchModelDeploymentMonitoringStatsAnomaliesRequest.ProtoReflect.Descriptor instead.
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{25}
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob() string {
	if x != nil {
		return x.ModelDeploymentMonitoringJob
	}
	return ""
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId() string {
	if x != nil {
		return x.DeployedModelId
	}
	return ""
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName() string {
	if x != nil {
		return x.FeatureDisplayName
	}
	return ""
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives() []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective {
	if x != nil {
		return x.Objectives
	}
	return nil
}

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

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

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime() *timestamppb.Timestamp {
	if x != nil {
		return x.StartTime
	}
	return nil
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime() *timestamppb.Timestamp {
	if x != nil {
		return x.EndTime
	}
	return nil
}

// Response message for
// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].
type SearchModelDeploymentMonitoringStatsAnomaliesResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Stats retrieved for requested objectives.
	// There are at most 1000
	// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats][google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats]
	// in the response.
	MonitoringStats []*ModelMonitoringStatsAnomalies `protobuf:"bytes,1,rep,name=monitoring_stats,json=monitoringStats,proto3" json:"monitoring_stats,omitempty"`
	// The page token that can be used by the next
	// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
	// call.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset() {
	*x = SearchModelDeploymentMonitoringStatsAnomaliesResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[26]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage() {}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 SearchModelDeploymentMonitoringStatsAnomaliesResponse.ProtoReflect.Descriptor instead.
func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{26}
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats() []*ModelMonitoringStatsAnomalies {
	if x != nil {
		return x.MonitoringStats
	}
	return nil
}

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

// Request message for
// [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob].
type GetModelDeploymentMonitoringJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *GetModelDeploymentMonitoringJobRequest) Reset() {
	*x = GetModelDeploymentMonitoringJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[27]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage() {}

func (x *GetModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 GetModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*GetModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{27}
}

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

// Request message for
// [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
type ListModelDeploymentMonitoringJobsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The parent of the ModelDeploymentMonitoringJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}

func (x *ListModelDeploymentMonitoringJobsRequest) Reset() {
	*x = ListModelDeploymentMonitoringJobsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[28]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage() {}

func (x *ListModelDeploymentMonitoringJobsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListModelDeploymentMonitoringJobsRequest.ProtoReflect.Descriptor instead.
func (*ListModelDeploymentMonitoringJobsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{28}
}

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

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

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

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

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

// Response message for
// [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs].
type ListModelDeploymentMonitoringJobsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A list of ModelDeploymentMonitoringJobs that matches the specified filter
	// in the request.
	ModelDeploymentMonitoringJobs []*ModelDeploymentMonitoringJob `protobuf:"bytes,1,rep,name=model_deployment_monitoring_jobs,json=modelDeploymentMonitoringJobs,proto3" json:"model_deployment_monitoring_jobs,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListModelDeploymentMonitoringJobsResponse) Reset() {
	*x = ListModelDeploymentMonitoringJobsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[29]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage() {}

func (x *ListModelDeploymentMonitoringJobsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ListModelDeploymentMonitoringJobsResponse.ProtoReflect.Descriptor instead.
func (*ListModelDeploymentMonitoringJobsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{29}
}

func (x *ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs() []*ModelDeploymentMonitoringJob {
	if x != nil {
		return x.ModelDeploymentMonitoringJobs
	}
	return nil
}

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

// Request message for
// [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
type UpdateModelDeploymentMonitoringJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The model monitoring configuration which replaces the resource on the
	// server.
	ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob `protobuf:"bytes,1,opt,name=model_deployment_monitoring_job,json=modelDeploymentMonitoringJob,proto3" json:"model_deployment_monitoring_job,omitempty"`
	// Required. The update mask is used to specify the fields to be overwritten in the
	// ModelDeploymentMonitoringJob resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	// For the objective config, the user can either provide the update mask for
	// model_deployment_monitoring_objective_configs or any combination of its
	// nested fields, such as:
	// model_deployment_monitoring_objective_configs.objective_config.training_dataset.
	//
	// Updatable fields:
	//
	//   * `display_name`
	//   * `model_deployment_monitoring_schedule_config`
	//   * `model_monitoring_alert_config`
	//   * `logging_sampling_strategy`
	//   * `labels`
	//   * `log_ttl`
	//   * `enable_monitoring_pipeline_logs`
	// .  and
	//   * `model_deployment_monitoring_objective_configs`
	// .  or
	//   * `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
	//   * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
	//   * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}

func (x *UpdateModelDeploymentMonitoringJobRequest) Reset() {
	*x = UpdateModelDeploymentMonitoringJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[30]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage() {}

func (x *UpdateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 UpdateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{30}
}

func (x *UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob {
	if x != nil {
		return x.ModelDeploymentMonitoringJob
	}
	return nil
}

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

// Request message for
// [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob].
type DeleteModelDeploymentMonitoringJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the model monitoring job to delete.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *DeleteModelDeploymentMonitoringJobRequest) Reset() {
	*x = DeleteModelDeploymentMonitoringJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[31]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage() {}

func (x *DeleteModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 DeleteModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{31}
}

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

// Request message for
// [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob].
type PauseModelDeploymentMonitoringJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the ModelDeploymentMonitoringJob to pause.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *PauseModelDeploymentMonitoringJobRequest) Reset() {
	*x = PauseModelDeploymentMonitoringJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[32]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage() {}

func (x *PauseModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 PauseModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*PauseModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{32}
}

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

// Request message for
// [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob].
type ResumeModelDeploymentMonitoringJobRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the ModelDeploymentMonitoringJob to resume.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *ResumeModelDeploymentMonitoringJobRequest) Reset() {
	*x = ResumeModelDeploymentMonitoringJobRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[33]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage() {}

func (x *ResumeModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 ResumeModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{33}
}

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

// Runtime operation information for
// [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
type UpdateModelDeploymentMonitoringJobOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) Reset() {
	*x = UpdateModelDeploymentMonitoringJobOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[34]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage() {}

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 UpdateModelDeploymentMonitoringJobOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{34}
}

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

// Stats requested for specific objective.
type SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	Type ModelDeploymentMonitoringObjectiveType `protobuf:"varint,1,opt,name=type,proto3,enum=google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType" json:"type,omitempty"`
	// If set, all attribution scores between
	// [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
	// [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
	// fetched, and page token doesn't take affect in this case.
	// Only used to retrieve attribution score for the top Features which has
	// the highest attribution score in the latest monitoring run.
	TopFeatureCount int32 `protobuf:"varint,4,opt,name=top_feature_count,json=topFeatureCount,proto3" json:"top_feature_count,omitempty"`
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset() {
	*x = SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[35]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage() {}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_job_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 SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective.ProtoReflect.Descriptor instead.
func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP(), []int{25, 0}
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType() ModelDeploymentMonitoringObjectiveType {
	if x != nil {
		return x.Type
	}
	return ModelDeploymentMonitoringObjectiveType_MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED
}

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount() int32 {
	if x != nil {
		return x.TopFeatureCount
	}
	return 0
}

var File_google_cloud_aiplatform_v1_job_service_proto protoreflect.FileDescriptor

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}

var (
	file_google_cloud_aiplatform_v1_job_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1_job_service_proto_rawDescData = file_google_cloud_aiplatform_v1_job_service_proto_rawDesc
)

func file_google_cloud_aiplatform_v1_job_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1_job_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1_job_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_job_service_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1_job_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1_job_service_proto_msgTypes = make([]protoimpl.MessageInfo, 36)
var file_google_cloud_aiplatform_v1_job_service_proto_goTypes = []interface{}{
	(*CreateCustomJobRequest)(nil),                                                       // 0: google.cloud.aiplatform.v1.CreateCustomJobRequest
	(*GetCustomJobRequest)(nil),                                                          // 1: google.cloud.aiplatform.v1.GetCustomJobRequest
	(*ListCustomJobsRequest)(nil),                                                        // 2: google.cloud.aiplatform.v1.ListCustomJobsRequest
	(*ListCustomJobsResponse)(nil),                                                       // 3: google.cloud.aiplatform.v1.ListCustomJobsResponse
	(*DeleteCustomJobRequest)(nil),                                                       // 4: google.cloud.aiplatform.v1.DeleteCustomJobRequest
	(*CancelCustomJobRequest)(nil),                                                       // 5: google.cloud.aiplatform.v1.CancelCustomJobRequest
	(*CreateDataLabelingJobRequest)(nil),                                                 // 6: google.cloud.aiplatform.v1.CreateDataLabelingJobRequest
	(*GetDataLabelingJobRequest)(nil),                                                    // 7: google.cloud.aiplatform.v1.GetDataLabelingJobRequest
	(*ListDataLabelingJobsRequest)(nil),                                                  // 8: google.cloud.aiplatform.v1.ListDataLabelingJobsRequest
	(*ListDataLabelingJobsResponse)(nil),                                                 // 9: google.cloud.aiplatform.v1.ListDataLabelingJobsResponse
	(*DeleteDataLabelingJobRequest)(nil),                                                 // 10: google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest
	(*CancelDataLabelingJobRequest)(nil),                                                 // 11: google.cloud.aiplatform.v1.CancelDataLabelingJobRequest
	(*CreateHyperparameterTuningJobRequest)(nil),                                         // 12: google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
	(*GetHyperparameterTuningJobRequest)(nil),                                            // 13: google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest
	(*ListHyperparameterTuningJobsRequest)(nil),                                          // 14: google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
	(*ListHyperparameterTuningJobsResponse)(nil),                                         // 15: google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
	(*DeleteHyperparameterTuningJobRequest)(nil),                                         // 16: google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
	(*CancelHyperparameterTuningJobRequest)(nil),                                         // 17: google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
	(*CreateBatchPredictionJobRequest)(nil),                                              // 18: google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest
	(*GetBatchPredictionJobRequest)(nil),                                                 // 19: google.cloud.aiplatform.v1.GetBatchPredictionJobRequest
	(*ListBatchPredictionJobsRequest)(nil),                                               // 20: google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest
	(*ListBatchPredictionJobsResponse)(nil),                                              // 21: google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse
	(*DeleteBatchPredictionJobRequest)(nil),                                              // 22: google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest
	(*CancelBatchPredictionJobRequest)(nil),                                              // 23: google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest
	(*CreateModelDeploymentMonitoringJobRequest)(nil),                                    // 24: google.cloud.aiplatform.v1.CreateModelDeploymentMonitoringJobRequest
	(*SearchModelDeploymentMonitoringStatsAnomaliesRequest)(nil),                         // 25: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
	(*SearchModelDeploymentMonitoringStatsAnomaliesResponse)(nil),                        // 26: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
	(*GetModelDeploymentMonitoringJobRequest)(nil),                                       // 27: google.cloud.aiplatform.v1.GetModelDeploymentMonitoringJobRequest
	(*ListModelDeploymentMonitoringJobsRequest)(nil),                                     // 28: google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsRequest
	(*ListModelDeploymentMonitoringJobsResponse)(nil),                                    // 29: google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsResponse
	(*UpdateModelDeploymentMonitoringJobRequest)(nil),                                    // 30: google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest
	(*DeleteModelDeploymentMonitoringJobRequest)(nil),                                    // 31: google.cloud.aiplatform.v1.DeleteModelDeploymentMonitoringJobRequest
	(*PauseModelDeploymentMonitoringJobRequest)(nil),                                     // 32: google.cloud.aiplatform.v1.PauseModelDeploymentMonitoringJobRequest
	(*ResumeModelDeploymentMonitoringJobRequest)(nil),                                    // 33: google.cloud.aiplatform.v1.ResumeModelDeploymentMonitoringJobRequest
	(*UpdateModelDeploymentMonitoringJobOperationMetadata)(nil),                          // 34: google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobOperationMetadata
	(*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective)(nil), // 35: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
	(*CustomJob)(nil),                                                                    // 36: google.cloud.aiplatform.v1.CustomJob
	(*fieldmaskpb.FieldMask)(nil),                                                        // 37: google.protobuf.FieldMask
	(*DataLabelingJob)(nil),                                                              // 38: google.cloud.aiplatform.v1.DataLabelingJob
	(*HyperparameterTuningJob)(nil),                                                      // 39: google.cloud.aiplatform.v1.HyperparameterTuningJob
	(*BatchPredictionJob)(nil),                                                           // 40: google.cloud.aiplatform.v1.BatchPredictionJob
	(*ModelDeploymentMonitoringJob)(nil),                                                 // 41: google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob
	(*timestamppb.Timestamp)(nil),                                                        // 42: google.protobuf.Timestamp
	(*ModelMonitoringStatsAnomalies)(nil),                                                // 43: google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies
	(*GenericOperationMetadata)(nil),                                                     // 44: google.cloud.aiplatform.v1.GenericOperationMetadata
	(ModelDeploymentMonitoringObjectiveType)(0),                                          // 45: google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType
	(*longrunning.Operation)(nil),                                                        // 46: google.longrunning.Operation
	(*emptypb.Empty)(nil),                                                                // 47: google.protobuf.Empty
}
var file_google_cloud_aiplatform_v1_job_service_proto_depIdxs = []int32{
	36, // 0: google.cloud.aiplatform.v1.CreateCustomJobRequest.custom_job:type_name -> google.cloud.aiplatform.v1.CustomJob
	37, // 1: google.cloud.aiplatform.v1.ListCustomJobsRequest.read_mask:type_name -> google.protobuf.FieldMask
	36, // 2: google.cloud.aiplatform.v1.ListCustomJobsResponse.custom_jobs:type_name -> google.cloud.aiplatform.v1.CustomJob
	38, // 3: google.cloud.aiplatform.v1.CreateDataLabelingJobRequest.data_labeling_job:type_name -> google.cloud.aiplatform.v1.DataLabelingJob
	37, // 4: google.cloud.aiplatform.v1.ListDataLabelingJobsRequest.read_mask:type_name -> google.protobuf.FieldMask
	38, // 5: google.cloud.aiplatform.v1.ListDataLabelingJobsResponse.data_labeling_jobs:type_name -> google.cloud.aiplatform.v1.DataLabelingJob
	39, // 6: google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest.hyperparameter_tuning_job:type_name -> google.cloud.aiplatform.v1.HyperparameterTuningJob
	37, // 7: google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest.read_mask:type_name -> google.protobuf.FieldMask
	39, // 8: google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse.hyperparameter_tuning_jobs:type_name -> google.cloud.aiplatform.v1.HyperparameterTuningJob
	40, // 9: google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest.batch_prediction_job:type_name -> google.cloud.aiplatform.v1.BatchPredictionJob
	37, // 10: google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest.read_mask:type_name -> google.protobuf.FieldMask
	40, // 11: google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse.batch_prediction_jobs:type_name -> google.cloud.aiplatform.v1.BatchPredictionJob
	41, // 12: google.cloud.aiplatform.v1.CreateModelDeploymentMonitoringJobRequest.model_deployment_monitoring_job:type_name -> google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob
	35, // 13: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.objectives:type_name -> google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective
	42, // 14: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time:type_name -> google.protobuf.Timestamp
	42, // 15: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time:type_name -> google.protobuf.Timestamp
	43, // 16: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesResponse.monitoring_stats:type_name -> google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies
	37, // 17: google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsRequest.read_mask:type_name -> google.protobuf.FieldMask
	41, // 18: google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsResponse.model_deployment_monitoring_jobs:type_name -> google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob
	41, // 19: google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest.model_deployment_monitoring_job:type_name -> google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob
	37, // 20: google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest.update_mask:type_name -> google.protobuf.FieldMask
	44, // 21: google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	45, // 22: google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective.type:type_name -> google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType
	0,  // 23: google.cloud.aiplatform.v1.JobService.CreateCustomJob:input_type -> google.cloud.aiplatform.v1.CreateCustomJobRequest
	1,  // 24: google.cloud.aiplatform.v1.JobService.GetCustomJob:input_type -> google.cloud.aiplatform.v1.GetCustomJobRequest
	2,  // 25: google.cloud.aiplatform.v1.JobService.ListCustomJobs:input_type -> google.cloud.aiplatform.v1.ListCustomJobsRequest
	4,  // 26: google.cloud.aiplatform.v1.JobService.DeleteCustomJob:input_type -> google.cloud.aiplatform.v1.DeleteCustomJobRequest
	5,  // 27: google.cloud.aiplatform.v1.JobService.CancelCustomJob:input_type -> google.cloud.aiplatform.v1.CancelCustomJobRequest
	6,  // 28: google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob:input_type -> google.cloud.aiplatform.v1.CreateDataLabelingJobRequest
	7,  // 29: google.cloud.aiplatform.v1.JobService.GetDataLabelingJob:input_type -> google.cloud.aiplatform.v1.GetDataLabelingJobRequest
	8,  // 30: google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs:input_type -> google.cloud.aiplatform.v1.ListDataLabelingJobsRequest
	10, // 31: google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob:input_type -> google.cloud.aiplatform.v1.DeleteDataLabelingJobRequest
	11, // 32: google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob:input_type -> google.cloud.aiplatform.v1.CancelDataLabelingJobRequest
	12, // 33: google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob:input_type -> google.cloud.aiplatform.v1.CreateHyperparameterTuningJobRequest
	13, // 34: google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob:input_type -> google.cloud.aiplatform.v1.GetHyperparameterTuningJobRequest
	14, // 35: google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs:input_type -> google.cloud.aiplatform.v1.ListHyperparameterTuningJobsRequest
	16, // 36: google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob:input_type -> google.cloud.aiplatform.v1.DeleteHyperparameterTuningJobRequest
	17, // 37: google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob:input_type -> google.cloud.aiplatform.v1.CancelHyperparameterTuningJobRequest
	18, // 38: google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob:input_type -> google.cloud.aiplatform.v1.CreateBatchPredictionJobRequest
	19, // 39: google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob:input_type -> google.cloud.aiplatform.v1.GetBatchPredictionJobRequest
	20, // 40: google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs:input_type -> google.cloud.aiplatform.v1.ListBatchPredictionJobsRequest
	22, // 41: google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob:input_type -> google.cloud.aiplatform.v1.DeleteBatchPredictionJobRequest
	23, // 42: google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob:input_type -> google.cloud.aiplatform.v1.CancelBatchPredictionJobRequest
	24, // 43: google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob:input_type -> google.cloud.aiplatform.v1.CreateModelDeploymentMonitoringJobRequest
	25, // 44: google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies:input_type -> google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesRequest
	27, // 45: google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob:input_type -> google.cloud.aiplatform.v1.GetModelDeploymentMonitoringJobRequest
	28, // 46: google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs:input_type -> google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsRequest
	30, // 47: google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob:input_type -> google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest
	31, // 48: google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob:input_type -> google.cloud.aiplatform.v1.DeleteModelDeploymentMonitoringJobRequest
	32, // 49: google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob:input_type -> google.cloud.aiplatform.v1.PauseModelDeploymentMonitoringJobRequest
	33, // 50: google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob:input_type -> google.cloud.aiplatform.v1.ResumeModelDeploymentMonitoringJobRequest
	36, // 51: google.cloud.aiplatform.v1.JobService.CreateCustomJob:output_type -> google.cloud.aiplatform.v1.CustomJob
	36, // 52: google.cloud.aiplatform.v1.JobService.GetCustomJob:output_type -> google.cloud.aiplatform.v1.CustomJob
	3,  // 53: google.cloud.aiplatform.v1.JobService.ListCustomJobs:output_type -> google.cloud.aiplatform.v1.ListCustomJobsResponse
	46, // 54: google.cloud.aiplatform.v1.JobService.DeleteCustomJob:output_type -> google.longrunning.Operation
	47, // 55: google.cloud.aiplatform.v1.JobService.CancelCustomJob:output_type -> google.protobuf.Empty
	38, // 56: google.cloud.aiplatform.v1.JobService.CreateDataLabelingJob:output_type -> google.cloud.aiplatform.v1.DataLabelingJob
	38, // 57: google.cloud.aiplatform.v1.JobService.GetDataLabelingJob:output_type -> google.cloud.aiplatform.v1.DataLabelingJob
	9,  // 58: google.cloud.aiplatform.v1.JobService.ListDataLabelingJobs:output_type -> google.cloud.aiplatform.v1.ListDataLabelingJobsResponse
	46, // 59: google.cloud.aiplatform.v1.JobService.DeleteDataLabelingJob:output_type -> google.longrunning.Operation
	47, // 60: google.cloud.aiplatform.v1.JobService.CancelDataLabelingJob:output_type -> google.protobuf.Empty
	39, // 61: google.cloud.aiplatform.v1.JobService.CreateHyperparameterTuningJob:output_type -> google.cloud.aiplatform.v1.HyperparameterTuningJob
	39, // 62: google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob:output_type -> google.cloud.aiplatform.v1.HyperparameterTuningJob
	15, // 63: google.cloud.aiplatform.v1.JobService.ListHyperparameterTuningJobs:output_type -> google.cloud.aiplatform.v1.ListHyperparameterTuningJobsResponse
	46, // 64: google.cloud.aiplatform.v1.JobService.DeleteHyperparameterTuningJob:output_type -> google.longrunning.Operation
	47, // 65: google.cloud.aiplatform.v1.JobService.CancelHyperparameterTuningJob:output_type -> google.protobuf.Empty
	40, // 66: google.cloud.aiplatform.v1.JobService.CreateBatchPredictionJob:output_type -> google.cloud.aiplatform.v1.BatchPredictionJob
	40, // 67: google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob:output_type -> google.cloud.aiplatform.v1.BatchPredictionJob
	21, // 68: google.cloud.aiplatform.v1.JobService.ListBatchPredictionJobs:output_type -> google.cloud.aiplatform.v1.ListBatchPredictionJobsResponse
	46, // 69: google.cloud.aiplatform.v1.JobService.DeleteBatchPredictionJob:output_type -> google.longrunning.Operation
	47, // 70: google.cloud.aiplatform.v1.JobService.CancelBatchPredictionJob:output_type -> google.protobuf.Empty
	41, // 71: google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob:output_type -> google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob
	26, // 72: google.cloud.aiplatform.v1.JobService.SearchModelDeploymentMonitoringStatsAnomalies:output_type -> google.cloud.aiplatform.v1.SearchModelDeploymentMonitoringStatsAnomaliesResponse
	41, // 73: google.cloud.aiplatform.v1.JobService.GetModelDeploymentMonitoringJob:output_type -> google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob
	29, // 74: google.cloud.aiplatform.v1.JobService.ListModelDeploymentMonitoringJobs:output_type -> google.cloud.aiplatform.v1.ListModelDeploymentMonitoringJobsResponse
	46, // 75: google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob:output_type -> google.longrunning.Operation
	46, // 76: google.cloud.aiplatform.v1.JobService.DeleteModelDeploymentMonitoringJob:output_type -> google.longrunning.Operation
	47, // 77: google.cloud.aiplatform.v1.JobService.PauseModelDeploymentMonitoringJob:output_type -> google.protobuf.Empty
	47, // 78: google.cloud.aiplatform.v1.JobService.ResumeModelDeploymentMonitoringJob:output_type -> google.protobuf.Empty
	51, // [51:79] is the sub-list for method output_type
	23, // [23:51] is the sub-list for method input_type
	23, // [23:23] is the sub-list for extension type_name
	23, // [23:23] is the sub-list for extension extendee
	0,  // [0:23] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1_job_service_proto_init() }
func file_google_cloud_aiplatform_v1_job_service_proto_init() {
	if File_google_cloud_aiplatform_v1_job_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1_batch_prediction_job_proto_init()
	file_google_cloud_aiplatform_v1_custom_job_proto_init()
	file_google_cloud_aiplatform_v1_data_labeling_job_proto_init()
	file_google_cloud_aiplatform_v1_hyperparameter_tuning_job_proto_init()
	file_google_cloud_aiplatform_v1_model_deployment_monitoring_job_proto_init()
	file_google_cloud_aiplatform_v1_operation_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateCustomJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetCustomJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListCustomJobsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListCustomJobsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteCustomJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CancelCustomJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateDataLabelingJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetDataLabelingJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDataLabelingJobsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDataLabelingJobsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteDataLabelingJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CancelDataLabelingJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateHyperparameterTuningJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetHyperparameterTuningJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListHyperparameterTuningJobsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListHyperparameterTuningJobsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteHyperparameterTuningJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CancelHyperparameterTuningJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateBatchPredictionJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetBatchPredictionJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListBatchPredictionJobsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListBatchPredictionJobsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteBatchPredictionJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CancelBatchPredictionJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateModelDeploymentMonitoringJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[25].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*SearchModelDeploymentMonitoringStatsAnomaliesRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[26].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*SearchModelDeploymentMonitoringStatsAnomaliesResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[27].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetModelDeploymentMonitoringJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[28].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelDeploymentMonitoringJobsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[29].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelDeploymentMonitoringJobsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[30].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UpdateModelDeploymentMonitoringJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[31].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteModelDeploymentMonitoringJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[32].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PauseModelDeploymentMonitoringJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[33].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ResumeModelDeploymentMonitoringJobRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[34].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UpdateModelDeploymentMonitoringJobOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_job_service_proto_msgTypes[35].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective); 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_v1_job_service_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   36,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1_job_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1_job_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1_job_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1_job_service_proto = out.File
	file_google_cloud_aiplatform_v1_job_service_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1_job_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1_job_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

// JobServiceClient is the client API for JobService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type JobServiceClient interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(ctx context.Context, in *CreateCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(ctx context.Context, in *GetCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(ctx context.Context, in *ListCustomJobsRequest, opts ...grpc.CallOption) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(ctx context.Context, in *DeleteCustomJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(ctx context.Context, in *CancelCustomJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(ctx context.Context, in *CreateDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(ctx context.Context, in *GetDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(ctx context.Context, in *ListDataLabelingJobsRequest, opts ...grpc.CallOption) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(ctx context.Context, in *DeleteDataLabelingJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(ctx context.Context, in *CancelDataLabelingJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(ctx context.Context, in *CreateHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(ctx context.Context, in *GetHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(ctx context.Context, in *ListHyperparameterTuningJobsRequest, opts ...grpc.CallOption) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(ctx context.Context, in *DeleteHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
	// of 1, corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
	CancelHyperparameterTuningJob(ctx context.Context, in *CancelHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(ctx context.Context, in *CreateBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(ctx context.Context, in *GetBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(ctx context.Context, in *ListBatchPredictionJobsRequest, opts ...grpc.CallOption) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(ctx context.Context, in *DeleteBatchPredictionJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
	// outputted by the job are not deleted.
	CancelBatchPredictionJob(ctx context.Context, in *CancelBatchPredictionJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(ctx context.Context, in *CreateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(ctx context.Context, in *SearchModelDeploymentMonitoringStatsAnomaliesRequest, opts ...grpc.CallOption) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(ctx context.Context, in *GetModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(ctx context.Context, in *ListModelDeploymentMonitoringJobsRequest, opts ...grpc.CallOption) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(ctx context.Context, in *UpdateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(ctx context.Context, in *DeleteModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(ctx context.Context, in *PauseModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(ctx context.Context, in *ResumeModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}

type jobServiceClient struct {
	cc grpc.ClientConnInterface
}

func NewJobServiceClient(cc grpc.ClientConnInterface) JobServiceClient {
	return &jobServiceClient{cc}
}

func (c *jobServiceClient) CreateCustomJob(ctx context.Context, in *CreateCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error) {
	out := new(CustomJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CreateCustomJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) GetCustomJob(ctx context.Context, in *GetCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error) {
	out := new(CustomJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/GetCustomJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) ListCustomJobs(ctx context.Context, in *ListCustomJobsRequest, opts ...grpc.CallOption) (*ListCustomJobsResponse, error) {
	out := new(ListCustomJobsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/ListCustomJobs", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) DeleteCustomJob(ctx context.Context, in *DeleteCustomJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
	out := new(longrunning.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/DeleteCustomJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CancelCustomJob(ctx context.Context, in *CancelCustomJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
	out := new(emptypb.Empty)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CancelCustomJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CreateDataLabelingJob(ctx context.Context, in *CreateDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error) {
	out := new(DataLabelingJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CreateDataLabelingJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) GetDataLabelingJob(ctx context.Context, in *GetDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error) {
	out := new(DataLabelingJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/GetDataLabelingJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) ListDataLabelingJobs(ctx context.Context, in *ListDataLabelingJobsRequest, opts ...grpc.CallOption) (*ListDataLabelingJobsResponse, error) {
	out := new(ListDataLabelingJobsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/ListDataLabelingJobs", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) DeleteDataLabelingJob(ctx context.Context, in *DeleteDataLabelingJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
	out := new(longrunning.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/DeleteDataLabelingJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CancelDataLabelingJob(ctx context.Context, in *CancelDataLabelingJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
	out := new(emptypb.Empty)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CancelDataLabelingJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CreateHyperparameterTuningJob(ctx context.Context, in *CreateHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error) {
	out := new(HyperparameterTuningJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CreateHyperparameterTuningJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) GetHyperparameterTuningJob(ctx context.Context, in *GetHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error) {
	out := new(HyperparameterTuningJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/GetHyperparameterTuningJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) ListHyperparameterTuningJobs(ctx context.Context, in *ListHyperparameterTuningJobsRequest, opts ...grpc.CallOption) (*ListHyperparameterTuningJobsResponse, error) {
	out := new(ListHyperparameterTuningJobsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/ListHyperparameterTuningJobs", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) DeleteHyperparameterTuningJob(ctx context.Context, in *DeleteHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
	out := new(longrunning.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/DeleteHyperparameterTuningJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CancelHyperparameterTuningJob(ctx context.Context, in *CancelHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
	out := new(emptypb.Empty)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CancelHyperparameterTuningJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CreateBatchPredictionJob(ctx context.Context, in *CreateBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error) {
	out := new(BatchPredictionJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CreateBatchPredictionJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) GetBatchPredictionJob(ctx context.Context, in *GetBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error) {
	out := new(BatchPredictionJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/GetBatchPredictionJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) ListBatchPredictionJobs(ctx context.Context, in *ListBatchPredictionJobsRequest, opts ...grpc.CallOption) (*ListBatchPredictionJobsResponse, error) {
	out := new(ListBatchPredictionJobsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/ListBatchPredictionJobs", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) DeleteBatchPredictionJob(ctx context.Context, in *DeleteBatchPredictionJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
	out := new(longrunning.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/DeleteBatchPredictionJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CancelBatchPredictionJob(ctx context.Context, in *CancelBatchPredictionJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
	out := new(emptypb.Empty)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CancelBatchPredictionJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) CreateModelDeploymentMonitoringJob(ctx context.Context, in *CreateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error) {
	out := new(ModelDeploymentMonitoringJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/CreateModelDeploymentMonitoringJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) SearchModelDeploymentMonitoringStatsAnomalies(ctx context.Context, in *SearchModelDeploymentMonitoringStatsAnomaliesRequest, opts ...grpc.CallOption) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error) {
	out := new(SearchModelDeploymentMonitoringStatsAnomaliesResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/SearchModelDeploymentMonitoringStatsAnomalies", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) GetModelDeploymentMonitoringJob(ctx context.Context, in *GetModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error) {
	out := new(ModelDeploymentMonitoringJob)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/GetModelDeploymentMonitoringJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) ListModelDeploymentMonitoringJobs(ctx context.Context, in *ListModelDeploymentMonitoringJobsRequest, opts ...grpc.CallOption) (*ListModelDeploymentMonitoringJobsResponse, error) {
	out := new(ListModelDeploymentMonitoringJobsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/ListModelDeploymentMonitoringJobs", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) UpdateModelDeploymentMonitoringJob(ctx context.Context, in *UpdateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
	out := new(longrunning.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/UpdateModelDeploymentMonitoringJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) DeleteModelDeploymentMonitoringJob(ctx context.Context, in *DeleteModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
	out := new(longrunning.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/DeleteModelDeploymentMonitoringJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) PauseModelDeploymentMonitoringJob(ctx context.Context, in *PauseModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
	out := new(emptypb.Empty)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/PauseModelDeploymentMonitoringJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *jobServiceClient) ResumeModelDeploymentMonitoringJob(ctx context.Context, in *ResumeModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
	out := new(emptypb.Empty)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.JobService/ResumeModelDeploymentMonitoringJob", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

// JobServiceServer is the server API for JobService service.
type JobServiceServer interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunning.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1.JobService.GetCustomJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunning.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunning.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1.JobService.GetHyperparameterTuningJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
	// of 1, corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1.HyperparameterTuningJob.state] is set to `CANCELLED`.
	CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunning.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1.JobService.GetBatchPredictionJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
	// outputted by the job are not deleted.
	CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
}

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

func (*UnimplementedJobServiceServer) CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateCustomJob not implemented")
}
func (*UnimplementedJobServiceServer) GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetCustomJob not implemented")
}
func (*UnimplementedJobServiceServer) ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListCustomJobs not implemented")
}
func (*UnimplementedJobServiceServer) DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteCustomJob not implemented")
}
func (*UnimplementedJobServiceServer) CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CancelCustomJob not implemented")
}
func (*UnimplementedJobServiceServer) CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateDataLabelingJob not implemented")
}
func (*UnimplementedJobServiceServer) GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetDataLabelingJob not implemented")
}
func (*UnimplementedJobServiceServer) ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListDataLabelingJobs not implemented")
}
func (*UnimplementedJobServiceServer) DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteDataLabelingJob not implemented")
}
func (*UnimplementedJobServiceServer) CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CancelDataLabelingJob not implemented")
}
func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateHyperparameterTuningJob not implemented")
}
func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetHyperparameterTuningJob not implemented")
}
func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListHyperparameterTuningJobs not implemented")
}
func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteHyperparameterTuningJob not implemented")
}
func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CancelHyperparameterTuningJob not implemented")
}
func (*UnimplementedJobServiceServer) CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateBatchPredictionJob not implemented")
}
func (*UnimplementedJobServiceServer) GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetBatchPredictionJob not implemented")
}
func (*UnimplementedJobServiceServer) ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListBatchPredictionJobs not implemented")
}
func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteBatchPredictionJob not implemented")
}
func (*UnimplementedJobServiceServer) CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CancelBatchPredictionJob not implemented")
}
func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateModelDeploymentMonitoringJob not implemented")
}
func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method SearchModelDeploymentMonitoringStatsAnomalies not implemented")
}
func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetModelDeploymentMonitoringJob not implemented")
}
func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListModelDeploymentMonitoringJobs not implemented")
}
func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method UpdateModelDeploymentMonitoringJob not implemented")
}
func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteModelDeploymentMonitoringJob not implemented")
}
func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error) {
	return nil, status.Errorf(codes.Unimplemented, "method PauseModelDeploymentMonitoringJob not implemented")
}
func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ResumeModelDeploymentMonitoringJob not implemented")
}

func RegisterJobServiceServer(s *grpc.Server, srv JobServiceServer) {
	s.RegisterService(&_JobService_serviceDesc, srv)
}

func _JobService_CreateCustomJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CreateCustomJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CreateCustomJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CreateCustomJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CreateCustomJob(ctx, req.(*CreateCustomJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_GetCustomJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetCustomJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).GetCustomJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/GetCustomJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).GetCustomJob(ctx, req.(*GetCustomJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_ListCustomJobs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListCustomJobsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).ListCustomJobs(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/ListCustomJobs",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).ListCustomJobs(ctx, req.(*ListCustomJobsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_DeleteCustomJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteCustomJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).DeleteCustomJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/DeleteCustomJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).DeleteCustomJob(ctx, req.(*DeleteCustomJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CancelCustomJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CancelCustomJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CancelCustomJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CancelCustomJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CancelCustomJob(ctx, req.(*CancelCustomJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CreateDataLabelingJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CreateDataLabelingJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CreateDataLabelingJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CreateDataLabelingJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CreateDataLabelingJob(ctx, req.(*CreateDataLabelingJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_GetDataLabelingJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetDataLabelingJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).GetDataLabelingJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/GetDataLabelingJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).GetDataLabelingJob(ctx, req.(*GetDataLabelingJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_ListDataLabelingJobs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListDataLabelingJobsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).ListDataLabelingJobs(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/ListDataLabelingJobs",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).ListDataLabelingJobs(ctx, req.(*ListDataLabelingJobsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_DeleteDataLabelingJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteDataLabelingJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).DeleteDataLabelingJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/DeleteDataLabelingJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).DeleteDataLabelingJob(ctx, req.(*DeleteDataLabelingJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CancelDataLabelingJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CancelDataLabelingJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CancelDataLabelingJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CancelDataLabelingJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CancelDataLabelingJob(ctx, req.(*CancelDataLabelingJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CreateHyperparameterTuningJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CreateHyperparameterTuningJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CreateHyperparameterTuningJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CreateHyperparameterTuningJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CreateHyperparameterTuningJob(ctx, req.(*CreateHyperparameterTuningJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_GetHyperparameterTuningJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetHyperparameterTuningJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).GetHyperparameterTuningJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/GetHyperparameterTuningJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).GetHyperparameterTuningJob(ctx, req.(*GetHyperparameterTuningJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_ListHyperparameterTuningJobs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListHyperparameterTuningJobsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).ListHyperparameterTuningJobs(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/ListHyperparameterTuningJobs",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).ListHyperparameterTuningJobs(ctx, req.(*ListHyperparameterTuningJobsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_DeleteHyperparameterTuningJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteHyperparameterTuningJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).DeleteHyperparameterTuningJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/DeleteHyperparameterTuningJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).DeleteHyperparameterTuningJob(ctx, req.(*DeleteHyperparameterTuningJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CancelHyperparameterTuningJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CancelHyperparameterTuningJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CancelHyperparameterTuningJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CancelHyperparameterTuningJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CancelHyperparameterTuningJob(ctx, req.(*CancelHyperparameterTuningJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CreateBatchPredictionJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CreateBatchPredictionJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CreateBatchPredictionJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CreateBatchPredictionJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CreateBatchPredictionJob(ctx, req.(*CreateBatchPredictionJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_GetBatchPredictionJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetBatchPredictionJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).GetBatchPredictionJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/GetBatchPredictionJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).GetBatchPredictionJob(ctx, req.(*GetBatchPredictionJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_ListBatchPredictionJobs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListBatchPredictionJobsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).ListBatchPredictionJobs(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/ListBatchPredictionJobs",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).ListBatchPredictionJobs(ctx, req.(*ListBatchPredictionJobsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_DeleteBatchPredictionJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteBatchPredictionJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).DeleteBatchPredictionJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/DeleteBatchPredictionJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).DeleteBatchPredictionJob(ctx, req.(*DeleteBatchPredictionJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CancelBatchPredictionJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CancelBatchPredictionJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CancelBatchPredictionJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CancelBatchPredictionJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CancelBatchPredictionJob(ctx, req.(*CancelBatchPredictionJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_CreateModelDeploymentMonitoringJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CreateModelDeploymentMonitoringJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).CreateModelDeploymentMonitoringJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/CreateModelDeploymentMonitoringJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).CreateModelDeploymentMonitoringJob(ctx, req.(*CreateModelDeploymentMonitoringJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_SearchModelDeploymentMonitoringStatsAnomalies_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(SearchModelDeploymentMonitoringStatsAnomaliesRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).SearchModelDeploymentMonitoringStatsAnomalies(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/SearchModelDeploymentMonitoringStatsAnomalies",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).SearchModelDeploymentMonitoringStatsAnomalies(ctx, req.(*SearchModelDeploymentMonitoringStatsAnomaliesRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_GetModelDeploymentMonitoringJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetModelDeploymentMonitoringJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).GetModelDeploymentMonitoringJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/GetModelDeploymentMonitoringJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).GetModelDeploymentMonitoringJob(ctx, req.(*GetModelDeploymentMonitoringJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_ListModelDeploymentMonitoringJobs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListModelDeploymentMonitoringJobsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).ListModelDeploymentMonitoringJobs(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/ListModelDeploymentMonitoringJobs",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).ListModelDeploymentMonitoringJobs(ctx, req.(*ListModelDeploymentMonitoringJobsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_UpdateModelDeploymentMonitoringJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(UpdateModelDeploymentMonitoringJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).UpdateModelDeploymentMonitoringJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/UpdateModelDeploymentMonitoringJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).UpdateModelDeploymentMonitoringJob(ctx, req.(*UpdateModelDeploymentMonitoringJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_DeleteModelDeploymentMonitoringJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteModelDeploymentMonitoringJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).DeleteModelDeploymentMonitoringJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/DeleteModelDeploymentMonitoringJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).DeleteModelDeploymentMonitoringJob(ctx, req.(*DeleteModelDeploymentMonitoringJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_PauseModelDeploymentMonitoringJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(PauseModelDeploymentMonitoringJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).PauseModelDeploymentMonitoringJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/PauseModelDeploymentMonitoringJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).PauseModelDeploymentMonitoringJob(ctx, req.(*PauseModelDeploymentMonitoringJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _JobService_ResumeModelDeploymentMonitoringJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ResumeModelDeploymentMonitoringJobRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(JobServiceServer).ResumeModelDeploymentMonitoringJob(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.JobService/ResumeModelDeploymentMonitoringJob",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(JobServiceServer).ResumeModelDeploymentMonitoringJob(ctx, req.(*ResumeModelDeploymentMonitoringJobRequest))
	}
	return interceptor(ctx, in, info, handler)
}

var _JobService_serviceDesc = grpc.ServiceDesc{
	ServiceName: "google.cloud.aiplatform.v1.JobService",
	HandlerType: (*JobServiceServer)(nil),
	Methods: []grpc.MethodDesc{
		{
			MethodName: "CreateCustomJob",
			Handler:    _JobService_CreateCustomJob_Handler,
		},
		{
			MethodName: "GetCustomJob",
			Handler:    _JobService_GetCustomJob_Handler,
		},
		{
			MethodName: "ListCustomJobs",
			Handler:    _JobService_ListCustomJobs_Handler,
		},
		{
			MethodName: "DeleteCustomJob",
			Handler:    _JobService_DeleteCustomJob_Handler,
		},
		{
			MethodName: "CancelCustomJob",
			Handler:    _JobService_CancelCustomJob_Handler,
		},
		{
			MethodName: "CreateDataLabelingJob",
			Handler:    _JobService_CreateDataLabelingJob_Handler,
		},
		{
			MethodName: "GetDataLabelingJob",
			Handler:    _JobService_GetDataLabelingJob_Handler,
		},
		{
			MethodName: "ListDataLabelingJobs",
			Handler:    _JobService_ListDataLabelingJobs_Handler,
		},
		{
			MethodName: "DeleteDataLabelingJob",
			Handler:    _JobService_DeleteDataLabelingJob_Handler,
		},
		{
			MethodName: "CancelDataLabelingJob",
			Handler:    _JobService_CancelDataLabelingJob_Handler,
		},
		{
			MethodName: "CreateHyperparameterTuningJob",
			Handler:    _JobService_CreateHyperparameterTuningJob_Handler,
		},
		{
			MethodName: "GetHyperparameterTuningJob",
			Handler:    _JobService_GetHyperparameterTuningJob_Handler,
		},
		{
			MethodName: "ListHyperparameterTuningJobs",
			Handler:    _JobService_ListHyperparameterTuningJobs_Handler,
		},
		{
			MethodName: "DeleteHyperparameterTuningJob",
			Handler:    _JobService_DeleteHyperparameterTuningJob_Handler,
		},
		{
			MethodName: "CancelHyperparameterTuningJob",
			Handler:    _JobService_CancelHyperparameterTuningJob_Handler,
		},
		{
			MethodName: "CreateBatchPredictionJob",
			Handler:    _JobService_CreateBatchPredictionJob_Handler,
		},
		{
			MethodName: "GetBatchPredictionJob",
			Handler:    _JobService_GetBatchPredictionJob_Handler,
		},
		{
			MethodName: "ListBatchPredictionJobs",
			Handler:    _JobService_ListBatchPredictionJobs_Handler,
		},
		{
			MethodName: "DeleteBatchPredictionJob",
			Handler:    _JobService_DeleteBatchPredictionJob_Handler,
		},
		{
			MethodName: "CancelBatchPredictionJob",
			Handler:    _JobService_CancelBatchPredictionJob_Handler,
		},
		{
			MethodName: "CreateModelDeploymentMonitoringJob",
			Handler:    _JobService_CreateModelDeploymentMonitoringJob_Handler,
		},
		{
			MethodName: "SearchModelDeploymentMonitoringStatsAnomalies",
			Handler:    _JobService_SearchModelDeploymentMonitoringStatsAnomalies_Handler,
		},
		{
			MethodName: "GetModelDeploymentMonitoringJob",
			Handler:    _JobService_GetModelDeploymentMonitoringJob_Handler,
		},
		{
			MethodName: "ListModelDeploymentMonitoringJobs",
			Handler:    _JobService_ListModelDeploymentMonitoringJobs_Handler,
		},
		{
			MethodName: "UpdateModelDeploymentMonitoringJob",
			Handler:    _JobService_UpdateModelDeploymentMonitoringJob_Handler,
		},
		{
			MethodName: "DeleteModelDeploymentMonitoringJob",
			Handler:    _JobService_DeleteModelDeploymentMonitoringJob_Handler,
		},
		{
			MethodName: "PauseModelDeploymentMonitoringJob",
			Handler:    _JobService_PauseModelDeploymentMonitoringJob_Handler,
		},
		{
			MethodName: "ResumeModelDeploymentMonitoringJob",
			Handler:    _JobService_ResumeModelDeploymentMonitoringJob_Handler,
		},
	},
	Streams:  []grpc.StreamDesc{},
	Metadata: "google/cloud/aiplatform/v1/job_service.proto",
}
