// Copyright 2020 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 v1.25.0
// 	protoc        v3.13.0
// source: google/cloud/aiplatform/v1beta1/pipeline_service.proto

package aiplatform

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

	proto "github.com/golang/protobuf/proto"
	_ "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"
)

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)
)

// This is a compile-time assertion that a sufficiently up-to-date version
// of the legacy proto package is being used.
const _ = proto.ProtoPackageIsVersion4

// Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
type CreateTrainingPipelineRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CreateTrainingPipelineRequest) Reset() {
	*x = CreateTrainingPipelineRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CreateTrainingPipelineRequest) ProtoMessage() {}

func (x *CreateTrainingPipelineRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_pipeline_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 CreateTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*CreateTrainingPipelineRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescGZIP(), []int{0}
}

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

func (x *CreateTrainingPipelineRequest) GetTrainingPipeline() *TrainingPipeline {
	if x != nil {
		return x.TrainingPipeline
	}
	return nil
}

// Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
type GetTrainingPipelineRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *GetTrainingPipelineRequest) Reset() {
	*x = GetTrainingPipelineRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetTrainingPipelineRequest) ProtoMessage() {}

func (x *GetTrainingPipelineRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_pipeline_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 GetTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*GetTrainingPipelineRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescGZIP(), []int{1}
}

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

// Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
type ListTrainingPipelinesRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location to list the TrainingPipelines 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="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
	//
	//  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
	//
	//  * `NOT display_name="my_pipeline"`
	//
	//  * `state="PIPELINE_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
	// [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
	// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] 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 *ListTrainingPipelinesRequest) Reset() {
	*x = ListTrainingPipelinesRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[2]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListTrainingPipelinesRequest) ProtoMessage() {}

func (x *ListTrainingPipelinesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_pipeline_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 ListTrainingPipelinesRequest.ProtoReflect.Descriptor instead.
func (*ListTrainingPipelinesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescGZIP(), []int{2}
}

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

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

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

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

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

// Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
type ListTrainingPipelinesResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of TrainingPipelines in the requested page.
	TrainingPipelines []*TrainingPipeline `protobuf:"bytes,1,rep,name=training_pipelines,json=trainingPipelines,proto3" json:"training_pipelines,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.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 *ListTrainingPipelinesResponse) Reset() {
	*x = ListTrainingPipelinesResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[3]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListTrainingPipelinesResponse) ProtoMessage() {}

func (x *ListTrainingPipelinesResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_pipeline_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 ListTrainingPipelinesResponse.ProtoReflect.Descriptor instead.
func (*ListTrainingPipelinesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescGZIP(), []int{3}
}

func (x *ListTrainingPipelinesResponse) GetTrainingPipelines() []*TrainingPipeline {
	if x != nil {
		return x.TrainingPipelines
	}
	return nil
}

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

// Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
type DeleteTrainingPipelineRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *DeleteTrainingPipelineRequest) Reset() {
	*x = DeleteTrainingPipelineRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[4]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteTrainingPipelineRequest) ProtoMessage() {}

func (x *DeleteTrainingPipelineRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_pipeline_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 DeleteTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*DeleteTrainingPipelineRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescGZIP(), []int{4}
}

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

// Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
type CancelTrainingPipelineRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *CancelTrainingPipelineRequest) Reset() {
	*x = CancelTrainingPipelineRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[5]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*CancelTrainingPipelineRequest) ProtoMessage() {}

func (x *CancelTrainingPipelineRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_pipeline_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 CancelTrainingPipelineRequest.ProtoReflect.Descriptor instead.
func (*CancelTrainingPipelineRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescGZIP(), []int{5}
}

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

var File_google_cloud_aiplatform_v1beta1_pipeline_service_proto protoreflect.FileDescriptor

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}

var (
	file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDesc
)

func file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes = make([]protoimpl.MessageInfo, 6)
var file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_goTypes = []interface{}{
	(*CreateTrainingPipelineRequest)(nil), // 0: google.cloud.aiplatform.v1beta1.CreateTrainingPipelineRequest
	(*GetTrainingPipelineRequest)(nil),    // 1: google.cloud.aiplatform.v1beta1.GetTrainingPipelineRequest
	(*ListTrainingPipelinesRequest)(nil),  // 2: google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest
	(*ListTrainingPipelinesResponse)(nil), // 3: google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse
	(*DeleteTrainingPipelineRequest)(nil), // 4: google.cloud.aiplatform.v1beta1.DeleteTrainingPipelineRequest
	(*CancelTrainingPipelineRequest)(nil), // 5: google.cloud.aiplatform.v1beta1.CancelTrainingPipelineRequest
	(*TrainingPipeline)(nil),              // 6: google.cloud.aiplatform.v1beta1.TrainingPipeline
	(*fieldmaskpb.FieldMask)(nil),         // 7: google.protobuf.FieldMask
	(*longrunning.Operation)(nil),         // 8: google.longrunning.Operation
	(*emptypb.Empty)(nil),                 // 9: google.protobuf.Empty
}
var file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_depIdxs = []int32{
	6, // 0: google.cloud.aiplatform.v1beta1.CreateTrainingPipelineRequest.training_pipeline:type_name -> google.cloud.aiplatform.v1beta1.TrainingPipeline
	7, // 1: google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.read_mask:type_name -> google.protobuf.FieldMask
	6, // 2: google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.training_pipelines:type_name -> google.cloud.aiplatform.v1beta1.TrainingPipeline
	0, // 3: google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline:input_type -> google.cloud.aiplatform.v1beta1.CreateTrainingPipelineRequest
	1, // 4: google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline:input_type -> google.cloud.aiplatform.v1beta1.GetTrainingPipelineRequest
	2, // 5: google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines:input_type -> google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest
	4, // 6: google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline:input_type -> google.cloud.aiplatform.v1beta1.DeleteTrainingPipelineRequest
	5, // 7: google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline:input_type -> google.cloud.aiplatform.v1beta1.CancelTrainingPipelineRequest
	6, // 8: google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline:output_type -> google.cloud.aiplatform.v1beta1.TrainingPipeline
	6, // 9: google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline:output_type -> google.cloud.aiplatform.v1beta1.TrainingPipeline
	3, // 10: google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines:output_type -> google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse
	8, // 11: google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline:output_type -> google.longrunning.Operation
	9, // 12: google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline:output_type -> google.protobuf.Empty
	8, // [8:13] is the sub-list for method output_type
	3, // [3:8] is the sub-list for method input_type
	3, // [3:3] is the sub-list for extension type_name
	3, // [3:3] is the sub-list for extension extendee
	0, // [0:3] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_init() }
func file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_pipeline_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1beta1_training_pipeline_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateTrainingPipelineRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetTrainingPipelineRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListTrainingPipelinesRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListTrainingPipelinesResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteTrainingPipelineRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CancelTrainingPipelineRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   6,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_pipeline_service_proto = out.File
	file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1beta1_pipeline_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_pipeline_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

// PipelineServiceClient is the client API for PipelineService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type PipelineServiceClient interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(ctx context.Context, in *CreateTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(ctx context.Context, in *GetTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(ctx context.Context, in *ListTrainingPipelinesRequest, opts ...grpc.CallOption) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(ctx context.Context, in *DeleteTrainingPipelineRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or
	// other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
	// `CANCELLED`.
	CancelTrainingPipeline(ctx context.Context, in *CancelTrainingPipelineRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}

type pipelineServiceClient struct {
	cc grpc.ClientConnInterface
}

func NewPipelineServiceClient(cc grpc.ClientConnInterface) PipelineServiceClient {
	return &pipelineServiceClient{cc}
}

func (c *pipelineServiceClient) CreateTrainingPipeline(ctx context.Context, in *CreateTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error) {
	out := new(TrainingPipeline)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.PipelineService/CreateTrainingPipeline", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *pipelineServiceClient) GetTrainingPipeline(ctx context.Context, in *GetTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error) {
	out := new(TrainingPipeline)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.PipelineService/GetTrainingPipeline", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *pipelineServiceClient) ListTrainingPipelines(ctx context.Context, in *ListTrainingPipelinesRequest, opts ...grpc.CallOption) (*ListTrainingPipelinesResponse, error) {
	out := new(ListTrainingPipelinesResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.PipelineService/ListTrainingPipelines", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *pipelineServiceClient) DeleteTrainingPipeline(ctx context.Context, in *DeleteTrainingPipelineRequest, opts ...grpc.CallOption) (*longrunning.Operation, error) {
	out := new(longrunning.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.PipelineService/DeleteTrainingPipeline", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *pipelineServiceClient) CancelTrainingPipeline(ctx context.Context, in *CancelTrainingPipelineRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
	out := new(emptypb.Empty)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.PipelineService/CancelTrainingPipeline", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

// PipelineServiceServer is the server API for PipelineService service.
type PipelineServiceServer interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunning.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or
	// other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
	// `CANCELLED`.
	CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)
}

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

func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateTrainingPipeline not implemented")
}
func (*UnimplementedPipelineServiceServer) GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetTrainingPipeline not implemented")
}
func (*UnimplementedPipelineServiceServer) ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListTrainingPipelines not implemented")
}
func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteTrainingPipeline not implemented")
}
func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CancelTrainingPipeline not implemented")
}

func RegisterPipelineServiceServer(s *grpc.Server, srv PipelineServiceServer) {
	s.RegisterService(&_PipelineService_serviceDesc, srv)
}

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

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

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

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

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

var _PipelineService_serviceDesc = grpc.ServiceDesc{
	ServiceName: "google.cloud.aiplatform.v1beta1.PipelineService",
	HandlerType: (*PipelineServiceServer)(nil),
	Methods: []grpc.MethodDesc{
		{
			MethodName: "CreateTrainingPipeline",
			Handler:    _PipelineService_CreateTrainingPipeline_Handler,
		},
		{
			MethodName: "GetTrainingPipeline",
			Handler:    _PipelineService_GetTrainingPipeline_Handler,
		},
		{
			MethodName: "ListTrainingPipelines",
			Handler:    _PipelineService_ListTrainingPipelines_Handler,
		},
		{
			MethodName: "DeleteTrainingPipeline",
			Handler:    _PipelineService_DeleteTrainingPipeline_Handler,
		},
		{
			MethodName: "CancelTrainingPipeline",
			Handler:    _PipelineService_CancelTrainingPipeline_Handler,
		},
	},
	Streams:  []grpc.StreamDesc{},
	Metadata: "google/cloud/aiplatform/v1beta1/pipeline_service.proto",
}
