model_service.pb.go

// Copyright 2021 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/model_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"
	fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb"
)

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

// Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel].
type UploadModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *UploadModelRequest) Reset() {
	*x = UploadModelRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UploadModelRequest) ProtoMessage() {}

func (x *UploadModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 UploadModelRequest.ProtoReflect.Descriptor instead.
func (*UploadModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{0}
}

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

func (x *UploadModelRequest) GetModel() *Model {
	if x != nil {
		return x.Model
	}
	return nil
}

// Details of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
type UploadModelOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *UploadModelOperationMetadata) Reset() {
	*x = UploadModelOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UploadModelOperationMetadata) ProtoMessage() {}

func (x *UploadModelOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 UploadModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*UploadModelOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{1}
}

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

// Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel] operation.
type UploadModelResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The name of the uploaded Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
}

func (x *UploadModelResponse) Reset() {
	*x = UploadModelResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[2]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UploadModelResponse) ProtoMessage() {}

func (x *UploadModelResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 UploadModelResponse.ProtoReflect.Descriptor instead.
func (*UploadModelResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{2}
}

func (x *UploadModelResponse) GetModel() string {
	if x != nil {
		return x.Model
	}
	return ""
}

// Request message for [ModelService.GetModel][google.cloud.aiplatform.v1.ModelService.GetModel].
type GetModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *GetModelRequest) Reset() {
	*x = GetModelRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[3]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetModelRequest) ProtoMessage() {}

func (x *GetModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 GetModelRequest.ProtoReflect.Descriptor instead.
func (*GetModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{3}
}

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

// Request message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels].
type ListModelsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location to list the Models from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `model` supports = and !=. `model` represents the Model ID,
	//     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
	//   * `display_name` supports = and !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   * `model=1234`
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	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
	// [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelsResponse.next_page_token] of the previous
	// [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels] 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"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//   * `display_name`
	//   * `create_time`
	//   * `update_time`
	//
	// Example: `display_name, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListModelsRequest) Reset() {
	*x = ListModelsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[4]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelsRequest) ProtoMessage() {}

func (x *ListModelsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ListModelsRequest.ProtoReflect.Descriptor instead.
func (*ListModelsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{4}
}

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

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

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

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

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

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

// Response message for [ModelService.ListModels][google.cloud.aiplatform.v1.ModelService.ListModels]
type ListModelsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of Models in the requested page.
	Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1.ListModelsRequest.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 *ListModelsResponse) Reset() {
	*x = ListModelsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[5]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelsResponse) ProtoMessage() {}

func (x *ListModelsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ListModelsResponse.ProtoReflect.Descriptor instead.
func (*ListModelsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{5}
}

func (x *ListModelsResponse) GetModels() []*Model {
	if x != nil {
		return x.Models
	}
	return nil
}

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

// Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1.ModelService.UpdateModel].
type UpdateModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The Model which replaces the resource on the server.
	Model *Model `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}

func (x *UpdateModelRequest) Reset() {
	*x = UpdateModelRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[6]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UpdateModelRequest) ProtoMessage() {}

func (x *UpdateModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 UpdateModelRequest.ProtoReflect.Descriptor instead.
func (*UpdateModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{6}
}

func (x *UpdateModelRequest) GetModel() *Model {
	if x != nil {
		return x.Model
	}
	return nil
}

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

// Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel].
type DeleteModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

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

func (x *DeleteModelRequest) Reset() {
	*x = DeleteModelRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[7]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteModelRequest) ProtoMessage() {}

func (x *DeleteModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 DeleteModelRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{7}
}

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

// Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel].
type ExportModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Model to export.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location and configuration.
	OutputConfig *ExportModelRequest_OutputConfig `protobuf:"bytes,2,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
}

func (x *ExportModelRequest) Reset() {
	*x = ExportModelRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[8]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ExportModelRequest) ProtoMessage() {}

func (x *ExportModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ExportModelRequest.ProtoReflect.Descriptor instead.
func (*ExportModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{8}
}

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

func (x *ExportModelRequest) GetOutputConfig() *ExportModelRequest_OutputConfig {
	if x != nil {
		return x.OutputConfig
	}
	return nil
}

// Details of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
type ExportModelOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Output only. Information further describing the output of this Model export.
	OutputInfo *ExportModelOperationMetadata_OutputInfo `protobuf:"bytes,2,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
}

func (x *ExportModelOperationMetadata) Reset() {
	*x = ExportModelOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[9]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ExportModelOperationMetadata) ProtoMessage() {}

func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ExportModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{9}
}

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

func (x *ExportModelOperationMetadata) GetOutputInfo() *ExportModelOperationMetadata_OutputInfo {
	if x != nil {
		return x.OutputInfo
	}
	return nil
}

// Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1.ModelService.ExportModel] operation.
type ExportModelResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields
}

func (x *ExportModelResponse) Reset() {
	*x = ExportModelResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[10]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ExportModelResponse) ProtoMessage() {}

func (x *ExportModelResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ExportModelResponse.ProtoReflect.Descriptor instead.
func (*ExportModelResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{10}
}

// Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
type GetModelEvaluationRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the ModelEvaluation resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *GetModelEvaluationRequest) Reset() {
	*x = GetModelEvaluationRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[11]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetModelEvaluationRequest) ProtoMessage() {}

func (x *GetModelEvaluationRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 GetModelEvaluationRequest.ProtoReflect.Descriptor instead.
func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{11}
}

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

// Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
type ListModelEvaluationsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Model to list the ModelEvaluations from.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	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.
	// Typically obtained via
	// [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationsResponse.next_page_token] of the previous
	// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations] 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 *ListModelEvaluationsRequest) Reset() {
	*x = ListModelEvaluationsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[12]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelEvaluationsRequest) ProtoMessage() {}

func (x *ListModelEvaluationsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ListModelEvaluationsRequest.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{12}
}

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

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

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

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

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

// Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1.ModelService.ListModelEvaluations].
type ListModelEvaluationsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of ModelEvaluations in the requested page.
	ModelEvaluations []*ModelEvaluation `protobuf:"bytes,1,rep,name=model_evaluations,json=modelEvaluations,proto3" json:"model_evaluations,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationsRequest.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 *ListModelEvaluationsResponse) Reset() {
	*x = ListModelEvaluationsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[13]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelEvaluationsResponse) ProtoMessage() {}

func (x *ListModelEvaluationsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ListModelEvaluationsResponse.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{13}
}

func (x *ListModelEvaluationsResponse) GetModelEvaluations() []*ModelEvaluation {
	if x != nil {
		return x.ModelEvaluations
	}
	return nil
}

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

// Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice].
type GetModelEvaluationSliceRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the ModelEvaluationSlice resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *GetModelEvaluationSliceRequest) Reset() {
	*x = GetModelEvaluationSliceRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[14]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*GetModelEvaluationSliceRequest) ProtoMessage() {}

func (x *GetModelEvaluationSliceRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 GetModelEvaluationSliceRequest.ProtoReflect.Descriptor instead.
func (*GetModelEvaluationSliceRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{14}
}

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

// Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
type ListModelEvaluationSlicesRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
	// from. Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	//   * `slice.dimension` - for =.
	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
	// [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] 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 *ListModelEvaluationSlicesRequest) Reset() {
	*x = ListModelEvaluationSlicesRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[15]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelEvaluationSlicesRequest) ProtoMessage() {}

func (x *ListModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ListModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationSlicesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{15}
}

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

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

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

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

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

// Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices].
type ListModelEvaluationSlicesResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of ModelEvaluations in the requested page.
	ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,1,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.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 *ListModelEvaluationSlicesResponse) Reset() {
	*x = ListModelEvaluationSlicesResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[16]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelEvaluationSlicesResponse) ProtoMessage() {}

func (x *ListModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ListModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationSlicesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{16}
}

func (x *ListModelEvaluationSlicesResponse) GetModelEvaluationSlices() []*ModelEvaluationSlice {
	if x != nil {
		return x.ModelEvaluationSlices
	}
	return nil
}

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

// Output configuration for the Model export.
type ExportModelRequest_OutputConfig struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The ID of the format in which the Model must be exported. Each Model
	// lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats].
	// If no value is provided here, then the first from the list of the Model's
	// supported formats is used by default.
	ExportFormatId string `protobuf:"bytes,1,opt,name=export_format_id,json=exportFormatId,proto3" json:"export_format_id,omitempty"`
	// The Cloud Storage location where the Model artifact is to be
	// written to. Under the directory given as the destination a new one with
	// name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
	// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
	// will be created. Inside, the Model and any of its supporting files
	// will be written.
	// This field should only be set when the `exportableContent` field of the
	// [Model.supported_export_formats] object contains `ARTIFACT`.
	ArtifactDestination *GcsDestination `protobuf:"bytes,3,opt,name=artifact_destination,json=artifactDestination,proto3" json:"artifact_destination,omitempty"`
	// The Google Container Registry or Artifact Registry uri where the
	// Model container image will be copied to.
	// This field should only be set when the `exportableContent` field of the
	// [Model.supported_export_formats] object contains `IMAGE`.
	ImageDestination *ContainerRegistryDestination `protobuf:"bytes,4,opt,name=image_destination,json=imageDestination,proto3" json:"image_destination,omitempty"`
}

func (x *ExportModelRequest_OutputConfig) Reset() {
	*x = ExportModelRequest_OutputConfig{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[17]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ExportModelRequest_OutputConfig) ProtoMessage() {}

func (x *ExportModelRequest_OutputConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ExportModelRequest_OutputConfig.ProtoReflect.Descriptor instead.
func (*ExportModelRequest_OutputConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{8, 0}
}

func (x *ExportModelRequest_OutputConfig) GetExportFormatId() string {
	if x != nil {
		return x.ExportFormatId
	}
	return ""
}

func (x *ExportModelRequest_OutputConfig) GetArtifactDestination() *GcsDestination {
	if x != nil {
		return x.ArtifactDestination
	}
	return nil
}

func (x *ExportModelRequest_OutputConfig) GetImageDestination() *ContainerRegistryDestination {
	if x != nil {
		return x.ImageDestination
	}
	return nil
}

// Further describes the output of the ExportModel. Supplements
// [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig].
type ExportModelOperationMetadata_OutputInfo struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. If the Model artifact is being exported to Google Cloud Storage this is
	// the full path of the directory created, into which the Model files are
	// being written to.
	ArtifactOutputUri string `protobuf:"bytes,2,opt,name=artifact_output_uri,json=artifactOutputUri,proto3" json:"artifact_output_uri,omitempty"`
	// Output only. If the Model image is being exported to Google Container Registry or
	// Artifact Registry this is the full path of the image created.
	ImageOutputUri string `protobuf:"bytes,3,opt,name=image_output_uri,json=imageOutputUri,proto3" json:"image_output_uri,omitempty"`
}

func (x *ExportModelOperationMetadata_OutputInfo) Reset() {
	*x = ExportModelOperationMetadata_OutputInfo{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[18]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage() {}

func (x *ExportModelOperationMetadata_OutputInfo) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_model_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 ExportModelOperationMetadata_OutputInfo.ProtoReflect.Descriptor instead.
func (*ExportModelOperationMetadata_OutputInfo) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP(), []int{9, 0}
}

func (x *ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri() string {
	if x != nil {
		return x.ArtifactOutputUri
	}
	return ""
}

func (x *ExportModelOperationMetadata_OutputInfo) GetImageOutputUri() string {
	if x != nil {
		return x.ImageOutputUri
	}
	return ""
}

var File_google_cloud_aiplatform_v1_model_service_proto protoreflect.FileDescriptor

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}

var (
	file_google_cloud_aiplatform_v1_model_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1_model_service_proto_rawDescData = file_google_cloud_aiplatform_v1_model_service_proto_rawDesc
)

func file_google_cloud_aiplatform_v1_model_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1_model_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1_model_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_model_service_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1_model_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1_model_service_proto_msgTypes = make([]protoimpl.MessageInfo, 19)
var file_google_cloud_aiplatform_v1_model_service_proto_goTypes = []interface{}{
	(*UploadModelRequest)(nil),                      // 0: google.cloud.aiplatform.v1.UploadModelRequest
	(*UploadModelOperationMetadata)(nil),            // 1: google.cloud.aiplatform.v1.UploadModelOperationMetadata
	(*UploadModelResponse)(nil),                     // 2: google.cloud.aiplatform.v1.UploadModelResponse
	(*GetModelRequest)(nil),                         // 3: google.cloud.aiplatform.v1.GetModelRequest
	(*ListModelsRequest)(nil),                       // 4: google.cloud.aiplatform.v1.ListModelsRequest
	(*ListModelsResponse)(nil),                      // 5: google.cloud.aiplatform.v1.ListModelsResponse
	(*UpdateModelRequest)(nil),                      // 6: google.cloud.aiplatform.v1.UpdateModelRequest
	(*DeleteModelRequest)(nil),                      // 7: google.cloud.aiplatform.v1.DeleteModelRequest
	(*ExportModelRequest)(nil),                      // 8: google.cloud.aiplatform.v1.ExportModelRequest
	(*ExportModelOperationMetadata)(nil),            // 9: google.cloud.aiplatform.v1.ExportModelOperationMetadata
	(*ExportModelResponse)(nil),                     // 10: google.cloud.aiplatform.v1.ExportModelResponse
	(*GetModelEvaluationRequest)(nil),               // 11: google.cloud.aiplatform.v1.GetModelEvaluationRequest
	(*ListModelEvaluationsRequest)(nil),             // 12: google.cloud.aiplatform.v1.ListModelEvaluationsRequest
	(*ListModelEvaluationsResponse)(nil),            // 13: google.cloud.aiplatform.v1.ListModelEvaluationsResponse
	(*GetModelEvaluationSliceRequest)(nil),          // 14: google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest
	(*ListModelEvaluationSlicesRequest)(nil),        // 15: google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest
	(*ListModelEvaluationSlicesResponse)(nil),       // 16: google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
	(*ExportModelRequest_OutputConfig)(nil),         // 17: google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig
	(*ExportModelOperationMetadata_OutputInfo)(nil), // 18: google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
	(*Model)(nil),                                   // 19: google.cloud.aiplatform.v1.Model
	(*GenericOperationMetadata)(nil),                // 20: google.cloud.aiplatform.v1.GenericOperationMetadata
	(*fieldmaskpb.FieldMask)(nil),                   // 21: google.protobuf.FieldMask
	(*ModelEvaluation)(nil),                         // 22: google.cloud.aiplatform.v1.ModelEvaluation
	(*ModelEvaluationSlice)(nil),                    // 23: google.cloud.aiplatform.v1.ModelEvaluationSlice
	(*GcsDestination)(nil),                          // 24: google.cloud.aiplatform.v1.GcsDestination
	(*ContainerRegistryDestination)(nil),            // 25: google.cloud.aiplatform.v1.ContainerRegistryDestination
	(*longrunning.Operation)(nil),                   // 26: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1_model_service_proto_depIdxs = []int32{
	19, // 0: google.cloud.aiplatform.v1.UploadModelRequest.model:type_name -> google.cloud.aiplatform.v1.Model
	20, // 1: google.cloud.aiplatform.v1.UploadModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	21, // 2: google.cloud.aiplatform.v1.ListModelsRequest.read_mask:type_name -> google.protobuf.FieldMask
	19, // 3: google.cloud.aiplatform.v1.ListModelsResponse.models:type_name -> google.cloud.aiplatform.v1.Model
	19, // 4: google.cloud.aiplatform.v1.UpdateModelRequest.model:type_name -> google.cloud.aiplatform.v1.Model
	21, // 5: google.cloud.aiplatform.v1.UpdateModelRequest.update_mask:type_name -> google.protobuf.FieldMask
	17, // 6: google.cloud.aiplatform.v1.ExportModelRequest.output_config:type_name -> google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig
	20, // 7: google.cloud.aiplatform.v1.ExportModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	18, // 8: google.cloud.aiplatform.v1.ExportModelOperationMetadata.output_info:type_name -> google.cloud.aiplatform.v1.ExportModelOperationMetadata.OutputInfo
	21, // 9: google.cloud.aiplatform.v1.ListModelEvaluationsRequest.read_mask:type_name -> google.protobuf.FieldMask
	22, // 10: google.cloud.aiplatform.v1.ListModelEvaluationsResponse.model_evaluations:type_name -> google.cloud.aiplatform.v1.ModelEvaluation
	21, // 11: google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest.read_mask:type_name -> google.protobuf.FieldMask
	23, // 12: google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse.model_evaluation_slices:type_name -> google.cloud.aiplatform.v1.ModelEvaluationSlice
	24, // 13: google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.artifact_destination:type_name -> google.cloud.aiplatform.v1.GcsDestination
	25, // 14: google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.image_destination:type_name -> google.cloud.aiplatform.v1.ContainerRegistryDestination
	0,  // 15: google.cloud.aiplatform.v1.ModelService.UploadModel:input_type -> google.cloud.aiplatform.v1.UploadModelRequest
	3,  // 16: google.cloud.aiplatform.v1.ModelService.GetModel:input_type -> google.cloud.aiplatform.v1.GetModelRequest
	4,  // 17: google.cloud.aiplatform.v1.ModelService.ListModels:input_type -> google.cloud.aiplatform.v1.ListModelsRequest
	6,  // 18: google.cloud.aiplatform.v1.ModelService.UpdateModel:input_type -> google.cloud.aiplatform.v1.UpdateModelRequest
	7,  // 19: google.cloud.aiplatform.v1.ModelService.DeleteModel:input_type -> google.cloud.aiplatform.v1.DeleteModelRequest
	8,  // 20: google.cloud.aiplatform.v1.ModelService.ExportModel:input_type -> google.cloud.aiplatform.v1.ExportModelRequest
	11, // 21: google.cloud.aiplatform.v1.ModelService.GetModelEvaluation:input_type -> google.cloud.aiplatform.v1.GetModelEvaluationRequest
	12, // 22: google.cloud.aiplatform.v1.ModelService.ListModelEvaluations:input_type -> google.cloud.aiplatform.v1.ListModelEvaluationsRequest
	14, // 23: google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice:input_type -> google.cloud.aiplatform.v1.GetModelEvaluationSliceRequest
	15, // 24: google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices:input_type -> google.cloud.aiplatform.v1.ListModelEvaluationSlicesRequest
	26, // 25: google.cloud.aiplatform.v1.ModelService.UploadModel:output_type -> google.longrunning.Operation
	19, // 26: google.cloud.aiplatform.v1.ModelService.GetModel:output_type -> google.cloud.aiplatform.v1.Model
	5,  // 27: google.cloud.aiplatform.v1.ModelService.ListModels:output_type -> google.cloud.aiplatform.v1.ListModelsResponse
	19, // 28: google.cloud.aiplatform.v1.ModelService.UpdateModel:output_type -> google.cloud.aiplatform.v1.Model
	26, // 29: google.cloud.aiplatform.v1.ModelService.DeleteModel:output_type -> google.longrunning.Operation
	26, // 30: google.cloud.aiplatform.v1.ModelService.ExportModel:output_type -> google.longrunning.Operation
	22, // 31: google.cloud.aiplatform.v1.ModelService.GetModelEvaluation:output_type -> google.cloud.aiplatform.v1.ModelEvaluation
	13, // 32: google.cloud.aiplatform.v1.ModelService.ListModelEvaluations:output_type -> google.cloud.aiplatform.v1.ListModelEvaluationsResponse
	23, // 33: google.cloud.aiplatform.v1.ModelService.GetModelEvaluationSlice:output_type -> google.cloud.aiplatform.v1.ModelEvaluationSlice
	16, // 34: google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices:output_type -> google.cloud.aiplatform.v1.ListModelEvaluationSlicesResponse
	25, // [25:35] is the sub-list for method output_type
	15, // [15:25] is the sub-list for method input_type
	15, // [15:15] is the sub-list for extension type_name
	15, // [15:15] is the sub-list for extension extendee
	0,  // [0:15] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1_model_service_proto_init() }
func file_google_cloud_aiplatform_v1_model_service_proto_init() {
	if File_google_cloud_aiplatform_v1_model_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1_io_proto_init()
	file_google_cloud_aiplatform_v1_model_proto_init()
	file_google_cloud_aiplatform_v1_model_evaluation_proto_init()
	file_google_cloud_aiplatform_v1_model_evaluation_slice_proto_init()
	file_google_cloud_aiplatform_v1_operation_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UploadModelRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UploadModelOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UploadModelResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetModelRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UpdateModelRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteModelRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportModelRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportModelOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportModelResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetModelEvaluationRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelEvaluationsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelEvaluationsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetModelEvaluationSliceRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelEvaluationSlicesRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelEvaluationSlicesResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportModelRequest_OutputConfig); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_model_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportModelOperationMetadata_OutputInfo); 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_model_service_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   19,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1_model_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1_model_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1_model_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1_model_service_proto = out.File
	file_google_cloud_aiplatform_v1_model_service_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1_model_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1_model_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

// ModelServiceClient is the client API for ModelService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type ModelServiceClient interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(ctx context.Context, in *UploadModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a Model.
	GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Lists Models in a Location.
	ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error)
	// Updates a Model.
	UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
	// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
	DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Exports a trained, exportable Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
	ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(ctx context.Context, in *GetModelEvaluationSliceRequest, opts ...grpc.CallOption) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(ctx context.Context, in *ListModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*ListModelEvaluationSlicesResponse, error)
}

type modelServiceClient struct {
	cc grpc.ClientConnInterface
}

func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient {
	return &modelServiceClient{cc}
}

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

func (c *modelServiceClient) GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) {
	out := new(Model)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.ModelService/GetModel", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) {
	out := new(ListModelsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.ModelService/ListModels", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error) {
	out := new(Model)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.ModelService/UpdateModel", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

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

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

func (c *modelServiceClient) GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error) {
	out := new(ModelEvaluation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.ModelService/GetModelEvaluation", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error) {
	out := new(ListModelEvaluationsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.ModelService/ListModelEvaluations", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) GetModelEvaluationSlice(ctx context.Context, in *GetModelEvaluationSliceRequest, opts ...grpc.CallOption) (*ModelEvaluationSlice, error) {
	out := new(ModelEvaluationSlice)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.ModelService/GetModelEvaluationSlice", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) ListModelEvaluationSlices(ctx context.Context, in *ListModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*ListModelEvaluationSlicesResponse, error) {
	out := new(ListModelEvaluationSlicesResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.ModelService/ListModelEvaluationSlices", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

// ModelServiceServer is the server API for ModelService service.
type ModelServiceServer interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(context.Context, *UploadModelRequest) (*longrunning.Operation, error)
	// Gets a Model.
	GetModel(context.Context, *GetModelRequest) (*Model, error)
	// Lists Models in a Location.
	ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
	// Updates a Model.
	UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] based on the model in its
	// [deployed_models][google.cloud.aiplatform.v1.Endpoint.deployed_models] field.
	DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error)
	// Exports a trained, exportable Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].
	ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)
}

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

func (*UnimplementedModelServiceServer) UploadModel(context.Context, *UploadModelRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method UploadModel not implemented")
}
func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetModel not implemented")
}
func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListModels not implemented")
}
func (*UnimplementedModelServiceServer) UpdateModel(context.Context, *UpdateModelRequest) (*Model, error) {
	return nil, status.Errorf(codes.Unimplemented, "method UpdateModel not implemented")
}
func (*UnimplementedModelServiceServer) DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteModel not implemented")
}
func (*UnimplementedModelServiceServer) ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ExportModel not implemented")
}
func (*UnimplementedModelServiceServer) GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetModelEvaluation not implemented")
}
func (*UnimplementedModelServiceServer) ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListModelEvaluations not implemented")
}
func (*UnimplementedModelServiceServer) GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetModelEvaluationSlice not implemented")
}
func (*UnimplementedModelServiceServer) ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListModelEvaluationSlices not implemented")
}

func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer) {
	s.RegisterService(&_ModelService_serviceDesc, srv)
}

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

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

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

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

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

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

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

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

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

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

var _ModelService_serviceDesc = grpc.ServiceDesc{
	ServiceName: "google.cloud.aiplatform.v1.ModelService",
	HandlerType: (*ModelServiceServer)(nil),
	Methods: []grpc.MethodDesc{
		{
			MethodName: "UploadModel",
			Handler:    _ModelService_UploadModel_Handler,
		},
		{
			MethodName: "GetModel",
			Handler:    _ModelService_GetModel_Handler,
		},
		{
			MethodName: "ListModels",
			Handler:    _ModelService_ListModels_Handler,
		},
		{
			MethodName: "UpdateModel",
			Handler:    _ModelService_UpdateModel_Handler,
		},
		{
			MethodName: "DeleteModel",
			Handler:    _ModelService_DeleteModel_Handler,
		},
		{
			MethodName: "ExportModel",
			Handler:    _ModelService_ExportModel_Handler,
		},
		{
			MethodName: "GetModelEvaluation",
			Handler:    _ModelService_GetModelEvaluation_Handler,
		},
		{
			MethodName: "ListModelEvaluations",
			Handler:    _ModelService_ListModelEvaluations_Handler,
		},
		{
			MethodName: "GetModelEvaluationSlice",
			Handler:    _ModelService_GetModelEvaluationSlice_Handler,
		},
		{
			MethodName: "ListModelEvaluationSlices",
			Handler:    _ModelService_ListModelEvaluationSlices_Handler,
		},
	},
	Streams:  []grpc.StreamDesc{},
	Metadata: "google/cloud/aiplatform/v1/model_service.proto",
}