// Copyright 2022 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.26.0
// 	protoc        v3.12.2
// source: google/cloud/aiplatform/v1beta1/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.v1beta1.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"`
	// Optional. The resource name of the model into which to upload the version. Only
	// specify this field when uploading a new version.
	ParentModel string `protobuf:"bytes,4,opt,name=parent_model,json=parentModel,proto3" json:"parent_model,omitempty"`
	// Optional. The ID to use for the uploaded Model, which will become the final
	// component of the model resource name.
	//
	// This value may be up to 63 characters, and valid characters are
	// `[a-z0-9_-]`. The first character cannot be a number or hyphen.
	ModelId string `protobuf:"bytes,5,opt,name=model_id,json=modelId,proto3" json:"model_id,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_v1beta1_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_v1beta1_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_v1beta1_model_service_proto_rawDescGZIP(), []int{0}
}

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

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

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

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

// Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.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_v1beta1_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_v1beta1_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_v1beta1_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.v1beta1.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"`
	// Output only. The version ID of the model that is uploaded.
	ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
}

func (x *UploadModelResponse) Reset() {
	*x = UploadModelResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_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_v1beta1_model_service_proto_rawDescGZIP(), []int{2}
}

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

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

// Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.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}`
	//
	// In order to retrieve a specific version of the model, also provide
	// the version ID or version alias.
	//   Example: `projects/{project}/locations/{location}/models/{model}@2`
	//              or
	//            `projects/{project}/locations/{location}/models/{model}@golden`
	// If no version ID or alias is specified, the "default" version will be
	// returned. The "default" version alias is created for the first version of
	// the model, and can be moved to other versions later on. There will be
	// exactly one default version.
	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_v1beta1_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_v1beta1_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_v1beta1_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.v1beta1.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.v1beta1.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.v1beta1.ListModelsResponse.next_page_token] of the previous
	// [ModelService.ListModels][google.cloud.aiplatform.v1beta1.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"`
}

func (x *ListModelsRequest) Reset() {
	*x = ListModelsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_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_v1beta1_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_v1beta1_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
}

// Response message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.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.v1beta1.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_v1beta1_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_v1beta1_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_v1beta1_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.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].
type ListModelVersionsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the model to list versions for.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelVersionsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token] of the previous
	// [ModelService.ListModelversions][] call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `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:
	//
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,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 *ListModelVersionsRequest) Reset() {
	*x = ListModelVersionsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[6]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelVersionsRequest) ProtoMessage() {}

func (x *ListModelVersionsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 ListModelVersionsRequest.ProtoReflect.Descriptor instead.
func (*ListModelVersionsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{6}
}

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

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

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

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

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

// Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]
type ListModelVersionsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// List of Model versions in the requested page.
	// In the returned Model name field, version ID instead of regvision tag will
	// be included.
	Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListModelVersionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.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 *ListModelVersionsResponse) Reset() {
	*x = ListModelVersionsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[7]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ListModelVersionsResponse) ProtoMessage() {}

func (x *ListModelVersionsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 ListModelVersionsResponse.ProtoReflect.Descriptor instead.
func (*ListModelVersionsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{7}
}

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

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

// Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
type UpdateModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The Model which replaces the resource on the server.
	// When Model Versioning is enabled, the model.name will be used to determine
	// whether to update the model or model version.
	// 1. model.name with the @ value, e.g. models/123@1, refers to a version
	// specific update.
	// 2. model.name without the @ value, e.g. models/123, refers to a model
	// update.
	// 3. model.name with @-, e.g. models/123@-, refers to a model update.
	// 4. Supported model fields: display_name, description; supported
	// version-specific fields: version_description. Labels are supported in both
	// scenarios. Both the model labels and the version labels are merged when a
	// model is returned. When updating labels, if the request is for
	// model-specific update, model label gets updated. Otherwise, version labels
	// get updated.
	// 5. A model name or model version name fields update mismatch will cause a
	// precondition error.
	// 6. One request cannot update both the model and the version fields. You
	// must update them separately.
	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_v1beta1_model_service_proto_msgTypes[8]
		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_v1beta1_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 UpdateModelRequest.ProtoReflect.Descriptor instead.
func (*UpdateModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{8}
}

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.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset].
type UpdateExplanationDatasetRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Model to update.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// The example config containing the location of the dataset.
	Examples *Examples `protobuf:"bytes,2,opt,name=examples,proto3" json:"examples,omitempty"`
}

func (x *UpdateExplanationDatasetRequest) Reset() {
	*x = UpdateExplanationDatasetRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[9]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UpdateExplanationDatasetRequest) ProtoMessage() {}

func (x *UpdateExplanationDatasetRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 UpdateExplanationDatasetRequest.ProtoReflect.Descriptor instead.
func (*UpdateExplanationDatasetRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{9}
}

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

func (x *UpdateExplanationDatasetRequest) GetExamples() *Examples {
	if x != nil {
		return x.Examples
	}
	return nil
}

// Runtime operation information for
// [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset].
type UpdateExplanationDatasetOperationMetadata 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 *UpdateExplanationDatasetOperationMetadata) Reset() {
	*x = UpdateExplanationDatasetOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[10]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UpdateExplanationDatasetOperationMetadata) ProtoMessage() {}

func (x *UpdateExplanationDatasetOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 UpdateExplanationDatasetOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateExplanationDatasetOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{10}
}

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

// Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.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_v1beta1_model_service_proto_msgTypes[11]
		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_v1beta1_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 DeleteModelRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{11}
}

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

// Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].
type DeleteModelVersionRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the model version to be deleted, with a version ID explicitly
	// included.
	//
	// Example: `projects/{project}/locations/{location}/models/{model}@1234`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *DeleteModelVersionRequest) Reset() {
	*x = DeleteModelVersionRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[12]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*DeleteModelVersionRequest) ProtoMessage() {}

func (x *DeleteModelVersionRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 DeleteModelVersionRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelVersionRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{12}
}

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

// Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].
type MergeVersionAliasesRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the model version to merge aliases, with a version ID
	// explicitly included.
	//
	// Example: `projects/{project}/locations/{location}/models/{model}@1234`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The set of version aliases to merge.
	// The alias should be at most 128 characters, and match
	// `[a-z][a-z0-9-]{0,126}[a-z-0-9]`.
	// Add the `-` prefix to an alias means removing that alias from the version.
	// `-` is NOT counted in the 128 characters. Example: `-golden` means removing
	// the `golden` alias from the version.
	//
	// There is NO ordering in aliases, which means
	// 1) The aliases returned from GetModel API might not have the exactly same
	// order from this MergeVersionAliases API. 2) Adding and deleting the same
	// alias in the request is not recommended, and the 2 operations will be
	// cancelled out.
	VersionAliases []string `protobuf:"bytes,2,rep,name=version_aliases,json=versionAliases,proto3" json:"version_aliases,omitempty"`
}

func (x *MergeVersionAliasesRequest) Reset() {
	*x = MergeVersionAliasesRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[13]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*MergeVersionAliasesRequest) ProtoMessage() {}

func (x *MergeVersionAliasesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 MergeVersionAliasesRequest.ProtoReflect.Descriptor instead.
func (*MergeVersionAliasesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{13}
}

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

func (x *MergeVersionAliasesRequest) GetVersionAliases() []string {
	if x != nil {
		return x.VersionAliases
	}
	return nil
}

// Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
type ExportModelRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Model to export.
	// The resource name may contain version id or version alias to specify the
	// version, if no version is specified, the default version will be exported.
	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_v1beta1_model_service_proto_msgTypes[14]
		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_v1beta1_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 ExportModelRequest.ProtoReflect.Descriptor instead.
func (*ExportModelRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{14}
}

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.v1beta1.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_v1beta1_model_service_proto_msgTypes[15]
		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_v1beta1_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 ExportModelOperationMetadata.ProtoReflect.Descriptor instead.
func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{15}
}

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.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset] operation.
type UpdateExplanationDatasetResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields
}

func (x *UpdateExplanationDatasetResponse) Reset() {
	*x = UpdateExplanationDatasetResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[16]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*UpdateExplanationDatasetResponse) ProtoMessage() {}

func (x *UpdateExplanationDatasetResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 UpdateExplanationDatasetResponse.ProtoReflect.Descriptor instead.
func (*UpdateExplanationDatasetResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{16}
}

// Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.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_v1beta1_model_service_proto_msgTypes[17]
		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_v1beta1_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 ExportModelResponse.ProtoReflect.Descriptor instead.
func (*ExportModelResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{17}
}

// Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
type ImportModelEvaluationRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the parent model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Model evaluation resource to be imported.
	ModelEvaluation *ModelEvaluation `protobuf:"bytes,2,opt,name=model_evaluation,json=modelEvaluation,proto3" json:"model_evaluation,omitempty"`
}

func (x *ImportModelEvaluationRequest) Reset() {
	*x = ImportModelEvaluationRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[18]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*ImportModelEvaluationRequest) ProtoMessage() {}

func (x *ImportModelEvaluationRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_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 ImportModelEvaluationRequest.ProtoReflect.Descriptor instead.
func (*ImportModelEvaluationRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{18}
}

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

func (x *ImportModelEvaluationRequest) GetModelEvaluation() *ModelEvaluation {
	if x != nil {
		return x.ModelEvaluation
	}
	return nil
}

// Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
type BatchImportModelEvaluationSlicesRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the parent ModelEvaluation resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Model evaluation slice resource to be imported.
	ModelEvaluationSlices []*ModelEvaluationSlice `protobuf:"bytes,2,rep,name=model_evaluation_slices,json=modelEvaluationSlices,proto3" json:"model_evaluation_slices,omitempty"`
}

func (x *BatchImportModelEvaluationSlicesRequest) Reset() {
	*x = BatchImportModelEvaluationSlicesRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[19]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*BatchImportModelEvaluationSlicesRequest) ProtoMessage() {}

func (x *BatchImportModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[19]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchImportModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.
func (*BatchImportModelEvaluationSlicesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{19}
}

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

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

// Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]
type BatchImportModelEvaluationSlicesResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. List of imported [ModelEvaluationSlice.name][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.name].
	ImportedModelEvaluationSlices []string `protobuf:"bytes,1,rep,name=imported_model_evaluation_slices,json=importedModelEvaluationSlices,proto3" json:"imported_model_evaluation_slices,omitempty"`
}

func (x *BatchImportModelEvaluationSlicesResponse) Reset() {
	*x = BatchImportModelEvaluationSlicesResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[20]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

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

func (*BatchImportModelEvaluationSlicesResponse) ProtoMessage() {}

func (x *BatchImportModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[20]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchImportModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.
func (*BatchImportModelEvaluationSlicesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{20}
}

func (x *BatchImportModelEvaluationSlicesResponse) GetImportedModelEvaluationSlices() []string {
	if x != nil {
		return x.ImportedModelEvaluationSlices
	}
	return nil
}

// Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.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_v1beta1_model_service_proto_msgTypes[21]
		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_v1beta1_model_service_proto_msgTypes[21]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetModelEvaluationRequest.ProtoReflect.Descriptor instead.
func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{21}
}

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

// Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.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.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
	// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.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_v1beta1_model_service_proto_msgTypes[22]
		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_v1beta1_model_service_proto_msgTypes[22]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelEvaluationsRequest.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{22}
}

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.v1beta1.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.v1beta1.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_v1beta1_model_service_proto_msgTypes[23]
		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_v1beta1_model_service_proto_msgTypes[23]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelEvaluationsResponse.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{23}
}

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.v1beta1.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_v1beta1_model_service_proto_msgTypes[24]
		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_v1beta1_model_service_proto_msgTypes[24]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetModelEvaluationSliceRequest.ProtoReflect.Descriptor instead.
func (*GetModelEvaluationSliceRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{24}
}

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

// Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.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.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.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_v1beta1_model_service_proto_msgTypes[25]
		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_v1beta1_model_service_proto_msgTypes[25]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationSlicesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{25}
}

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.v1beta1.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.v1beta1.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_v1beta1_model_service_proto_msgTypes[26]
		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_v1beta1_model_service_proto_msgTypes[26]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.
func (*ListModelEvaluationSlicesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{26}
}

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.v1beta1.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_v1beta1_model_service_proto_msgTypes[27]
		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_v1beta1_model_service_proto_msgTypes[27]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ExportModelRequest_OutputConfig.ProtoReflect.Descriptor instead.
func (*ExportModelRequest_OutputConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{14, 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.v1beta1.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_v1beta1_model_service_proto_msgTypes[28]
		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_v1beta1_model_service_proto_msgTypes[28]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ExportModelOperationMetadata_OutputInfo.ProtoReflect.Descriptor instead.
func (*ExportModelOperationMetadata_OutputInfo) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{15, 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_v1beta1_model_service_proto protoreflect.FileDescriptor

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}

var (
	file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDesc
)

func file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes = make([]protoimpl.MessageInfo, 29)
var file_google_cloud_aiplatform_v1beta1_model_service_proto_goTypes = []interface{}{
	(*UploadModelRequest)(nil),                        // 0: google.cloud.aiplatform.v1beta1.UploadModelRequest
	(*UploadModelOperationMetadata)(nil),              // 1: google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata
	(*UploadModelResponse)(nil),                       // 2: google.cloud.aiplatform.v1beta1.UploadModelResponse
	(*GetModelRequest)(nil),                           // 3: google.cloud.aiplatform.v1beta1.GetModelRequest
	(*ListModelsRequest)(nil),                         // 4: google.cloud.aiplatform.v1beta1.ListModelsRequest
	(*ListModelsResponse)(nil),                        // 5: google.cloud.aiplatform.v1beta1.ListModelsResponse
	(*ListModelVersionsRequest)(nil),                  // 6: google.cloud.aiplatform.v1beta1.ListModelVersionsRequest
	(*ListModelVersionsResponse)(nil),                 // 7: google.cloud.aiplatform.v1beta1.ListModelVersionsResponse
	(*UpdateModelRequest)(nil),                        // 8: google.cloud.aiplatform.v1beta1.UpdateModelRequest
	(*UpdateExplanationDatasetRequest)(nil),           // 9: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest
	(*UpdateExplanationDatasetOperationMetadata)(nil), // 10: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetOperationMetadata
	(*DeleteModelRequest)(nil),                        // 11: google.cloud.aiplatform.v1beta1.DeleteModelRequest
	(*DeleteModelVersionRequest)(nil),                 // 12: google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest
	(*MergeVersionAliasesRequest)(nil),                // 13: google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest
	(*ExportModelRequest)(nil),                        // 14: google.cloud.aiplatform.v1beta1.ExportModelRequest
	(*ExportModelOperationMetadata)(nil),              // 15: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata
	(*UpdateExplanationDatasetResponse)(nil),          // 16: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetResponse
	(*ExportModelResponse)(nil),                       // 17: google.cloud.aiplatform.v1beta1.ExportModelResponse
	(*ImportModelEvaluationRequest)(nil),              // 18: google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest
	(*BatchImportModelEvaluationSlicesRequest)(nil),   // 19: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
	(*BatchImportModelEvaluationSlicesResponse)(nil),  // 20: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
	(*GetModelEvaluationRequest)(nil),                 // 21: google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest
	(*ListModelEvaluationsRequest)(nil),               // 22: google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest
	(*ListModelEvaluationsResponse)(nil),              // 23: google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse
	(*GetModelEvaluationSliceRequest)(nil),            // 24: google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest
	(*ListModelEvaluationSlicesRequest)(nil),          // 25: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest
	(*ListModelEvaluationSlicesResponse)(nil),         // 26: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse
	(*ExportModelRequest_OutputConfig)(nil),           // 27: google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig
	(*ExportModelOperationMetadata_OutputInfo)(nil),   // 28: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.OutputInfo
	(*Model)(nil),                        // 29: google.cloud.aiplatform.v1beta1.Model
	(*GenericOperationMetadata)(nil),     // 30: google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	(*fieldmaskpb.FieldMask)(nil),        // 31: google.protobuf.FieldMask
	(*Examples)(nil),                     // 32: google.cloud.aiplatform.v1beta1.Examples
	(*ModelEvaluation)(nil),              // 33: google.cloud.aiplatform.v1beta1.ModelEvaluation
	(*ModelEvaluationSlice)(nil),         // 34: google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	(*GcsDestination)(nil),               // 35: google.cloud.aiplatform.v1beta1.GcsDestination
	(*ContainerRegistryDestination)(nil), // 36: google.cloud.aiplatform.v1beta1.ContainerRegistryDestination
	(*longrunning.Operation)(nil),        // 37: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1beta1_model_service_proto_depIdxs = []int32{
	29, // 0: google.cloud.aiplatform.v1beta1.UploadModelRequest.model:type_name -> google.cloud.aiplatform.v1beta1.Model
	30, // 1: google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	31, // 2: google.cloud.aiplatform.v1beta1.ListModelsRequest.read_mask:type_name -> google.protobuf.FieldMask
	29, // 3: google.cloud.aiplatform.v1beta1.ListModelsResponse.models:type_name -> google.cloud.aiplatform.v1beta1.Model
	31, // 4: google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.read_mask:type_name -> google.protobuf.FieldMask
	29, // 5: google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.models:type_name -> google.cloud.aiplatform.v1beta1.Model
	29, // 6: google.cloud.aiplatform.v1beta1.UpdateModelRequest.model:type_name -> google.cloud.aiplatform.v1beta1.Model
	31, // 7: google.cloud.aiplatform.v1beta1.UpdateModelRequest.update_mask:type_name -> google.protobuf.FieldMask
	32, // 8: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest.examples:type_name -> google.cloud.aiplatform.v1beta1.Examples
	30, // 9: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	27, // 10: google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config:type_name -> google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig
	30, // 11: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	28, // 12: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.output_info:type_name -> google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.OutputInfo
	33, // 13: google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest.model_evaluation:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	34, // 14: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.model_evaluation_slices:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	31, // 15: google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.read_mask:type_name -> google.protobuf.FieldMask
	33, // 16: google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.model_evaluations:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	31, // 17: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.read_mask:type_name -> google.protobuf.FieldMask
	34, // 18: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.model_evaluation_slices:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	35, // 19: google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig.artifact_destination:type_name -> google.cloud.aiplatform.v1beta1.GcsDestination
	36, // 20: google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig.image_destination:type_name -> google.cloud.aiplatform.v1beta1.ContainerRegistryDestination
	0,  // 21: google.cloud.aiplatform.v1beta1.ModelService.UploadModel:input_type -> google.cloud.aiplatform.v1beta1.UploadModelRequest
	3,  // 22: google.cloud.aiplatform.v1beta1.ModelService.GetModel:input_type -> google.cloud.aiplatform.v1beta1.GetModelRequest
	4,  // 23: google.cloud.aiplatform.v1beta1.ModelService.ListModels:input_type -> google.cloud.aiplatform.v1beta1.ListModelsRequest
	6,  // 24: google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions:input_type -> google.cloud.aiplatform.v1beta1.ListModelVersionsRequest
	8,  // 25: google.cloud.aiplatform.v1beta1.ModelService.UpdateModel:input_type -> google.cloud.aiplatform.v1beta1.UpdateModelRequest
	9,  // 26: google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset:input_type -> google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest
	11, // 27: google.cloud.aiplatform.v1beta1.ModelService.DeleteModel:input_type -> google.cloud.aiplatform.v1beta1.DeleteModelRequest
	12, // 28: google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion:input_type -> google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest
	13, // 29: google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases:input_type -> google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest
	14, // 30: google.cloud.aiplatform.v1beta1.ModelService.ExportModel:input_type -> google.cloud.aiplatform.v1beta1.ExportModelRequest
	18, // 31: google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation:input_type -> google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest
	19, // 32: google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices:input_type -> google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
	21, // 33: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation:input_type -> google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest
	22, // 34: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations:input_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest
	24, // 35: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice:input_type -> google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest
	25, // 36: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices:input_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest
	37, // 37: google.cloud.aiplatform.v1beta1.ModelService.UploadModel:output_type -> google.longrunning.Operation
	29, // 38: google.cloud.aiplatform.v1beta1.ModelService.GetModel:output_type -> google.cloud.aiplatform.v1beta1.Model
	5,  // 39: google.cloud.aiplatform.v1beta1.ModelService.ListModels:output_type -> google.cloud.aiplatform.v1beta1.ListModelsResponse
	7,  // 40: google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions:output_type -> google.cloud.aiplatform.v1beta1.ListModelVersionsResponse
	29, // 41: google.cloud.aiplatform.v1beta1.ModelService.UpdateModel:output_type -> google.cloud.aiplatform.v1beta1.Model
	37, // 42: google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset:output_type -> google.longrunning.Operation
	37, // 43: google.cloud.aiplatform.v1beta1.ModelService.DeleteModel:output_type -> google.longrunning.Operation
	37, // 44: google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion:output_type -> google.longrunning.Operation
	29, // 45: google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases:output_type -> google.cloud.aiplatform.v1beta1.Model
	37, // 46: google.cloud.aiplatform.v1beta1.ModelService.ExportModel:output_type -> google.longrunning.Operation
	33, // 47: google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation:output_type -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	20, // 48: google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices:output_type -> google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
	33, // 49: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation:output_type -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	23, // 50: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations:output_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse
	34, // 51: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice:output_type -> google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	26, // 52: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices:output_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse
	37, // [37:53] is the sub-list for method output_type
	21, // [21:37] is the sub-list for method input_type
	21, // [21:21] is the sub-list for extension type_name
	21, // [21:21] is the sub-list for extension extendee
	0,  // [0:21] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1beta1_model_service_proto_init() }
func file_google_cloud_aiplatform_v1beta1_model_service_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_model_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1beta1_explanation_proto_init()
	file_google_cloud_aiplatform_v1beta1_io_proto_init()
	file_google_cloud_aiplatform_v1beta1_model_proto_init()
	file_google_cloud_aiplatform_v1beta1_model_evaluation_proto_init()
	file_google_cloud_aiplatform_v1beta1_model_evaluation_slice_proto_init()
	file_google_cloud_aiplatform_v1beta1_operation_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1beta1_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_v1beta1_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_v1beta1_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_v1beta1_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_v1beta1_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_v1beta1_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_v1beta1_model_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelVersionsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListModelVersionsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[8].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_v1beta1_model_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UpdateExplanationDatasetRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UpdateExplanationDatasetOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[11].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_v1beta1_model_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteModelVersionRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*MergeVersionAliasesRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[14].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_v1beta1_model_service_proto_msgTypes[15].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_v1beta1_model_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UpdateExplanationDatasetResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[17].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_v1beta1_model_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ImportModelEvaluationRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*BatchImportModelEvaluationSlicesRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*BatchImportModelEvaluationSlicesResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[21].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_v1beta1_model_service_proto_msgTypes[22].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_v1beta1_model_service_proto_msgTypes[23].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_v1beta1_model_service_proto_msgTypes[24].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_v1beta1_model_service_proto_msgTypes[25].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_v1beta1_model_service_proto_msgTypes[26].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_v1beta1_model_service_proto_msgTypes[27].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_v1beta1_model_service_proto_msgTypes[28].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_v1beta1_model_service_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   29,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_model_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_model_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_model_service_proto = out.File
	file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1beta1_model_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_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)
	// Lists versions of the specified model.
	ListModelVersions(ctx context.Context, in *ListModelVersionsRequest, opts ...grpc.CallOption) (*ListModelVersionsResponse, error)
	// Updates a Model.
	UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Incrementally update the dataset used for an examples model.
	UpdateExplanationDataset(ctx context.Context, in *UpdateExplanationDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the model in its
	// [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] field.
	DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deletes a Model version.
	//
	// Model version can only be deleted if there are no [DeployedModels][]
	// created from it. Deleting the only version in the Model is not allowed. Use
	// [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for deleting the Model instead.
	DeleteModelVersion(ctx context.Context, in *DeleteModelVersionRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Merges a set of aliases for a Model version.
	MergeVersionAliases(ctx context.Context, in *MergeVersionAliasesRequest, opts ...grpc.CallOption) (*Model, 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.v1beta1.Model.supported_export_formats].
	ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Imports an externally generated ModelEvaluation.
	ImportModelEvaluation(ctx context.Context, in *ImportModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Imports a list of externally generated ModelEvaluationSlice.
	BatchImportModelEvaluationSlices(ctx context.Context, in *BatchImportModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*BatchImportModelEvaluationSlicesResponse, 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.v1beta1.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.v1beta1.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.v1beta1.ModelService/ListModels", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) ListModelVersions(ctx context.Context, in *ListModelVersionsRequest, opts ...grpc.CallOption) (*ListModelVersionsResponse, error) {
	out := new(ListModelVersionsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.ModelService/ListModelVersions", 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.v1beta1.ModelService/UpdateModel", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

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

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

func (c *modelServiceClient) MergeVersionAliases(ctx context.Context, in *MergeVersionAliasesRequest, opts ...grpc.CallOption) (*Model, error) {
	out := new(Model)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.ModelService/MergeVersionAliases", 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.v1beta1.ModelService/ExportModel", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) ImportModelEvaluation(ctx context.Context, in *ImportModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error) {
	out := new(ModelEvaluation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.ModelService/ImportModelEvaluation", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *modelServiceClient) BatchImportModelEvaluationSlices(ctx context.Context, in *BatchImportModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*BatchImportModelEvaluationSlicesResponse, error) {
	out := new(BatchImportModelEvaluationSlicesResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.ModelService/BatchImportModelEvaluationSlices", 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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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)
	// Lists versions of the specified model.
	ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error)
	// Updates a Model.
	UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)
	// Incrementally update the dataset used for an examples model.
	UpdateExplanationDataset(context.Context, *UpdateExplanationDatasetRequest) (*longrunning.Operation, error)
	// Deletes a Model.
	//
	// A model cannot be deleted if any [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] resource has a
	// [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] based on the model in its
	// [deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] field.
	DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error)
	// Deletes a Model version.
	//
	// Model version can only be deleted if there are no [DeployedModels][]
	// created from it. Deleting the only version in the Model is not allowed. Use
	// [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel] for deleting the Model instead.
	DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunning.Operation, error)
	// Merges a set of aliases for a Model version.
	MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, 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.v1beta1.Model.supported_export_formats].
	ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error)
	// Imports an externally generated ModelEvaluation.
	ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error)
	// Imports a list of externally generated ModelEvaluationSlice.
	BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, 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) ListModelVersions(context.Context, *ListModelVersionsRequest) (*ListModelVersionsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListModelVersions not implemented")
}
func (*UnimplementedModelServiceServer) UpdateModel(context.Context, *UpdateModelRequest) (*Model, error) {
	return nil, status.Errorf(codes.Unimplemented, "method UpdateModel not implemented")
}
func (*UnimplementedModelServiceServer) UpdateExplanationDataset(context.Context, *UpdateExplanationDatasetRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method UpdateExplanationDataset not implemented")
}
func (*UnimplementedModelServiceServer) DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteModel not implemented")
}
func (*UnimplementedModelServiceServer) DeleteModelVersion(context.Context, *DeleteModelVersionRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteModelVersion not implemented")
}
func (*UnimplementedModelServiceServer) MergeVersionAliases(context.Context, *MergeVersionAliasesRequest) (*Model, error) {
	return nil, status.Errorf(codes.Unimplemented, "method MergeVersionAliases not implemented")
}
func (*UnimplementedModelServiceServer) ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ExportModel not implemented")
}
func (*UnimplementedModelServiceServer) ImportModelEvaluation(context.Context, *ImportModelEvaluationRequest) (*ModelEvaluation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ImportModelEvaluation not implemented")
}
func (*UnimplementedModelServiceServer) BatchImportModelEvaluationSlices(context.Context, *BatchImportModelEvaluationSlicesRequest) (*BatchImportModelEvaluationSlicesResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method BatchImportModelEvaluationSlices 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.v1beta1.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.v1beta1.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.v1beta1.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_ListModelVersions_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListModelVersionsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(ModelServiceServer).ListModelVersions(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1beta1.ModelService/ListModelVersions",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(ModelServiceServer).ListModelVersions(ctx, req.(*ListModelVersionsRequest))
	}
	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.v1beta1.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_UpdateExplanationDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(UpdateExplanationDatasetRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(ModelServiceServer).UpdateExplanationDataset(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1beta1.ModelService/UpdateExplanationDataset",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(ModelServiceServer).UpdateExplanationDataset(ctx, req.(*UpdateExplanationDatasetRequest))
	}
	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.v1beta1.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_DeleteModelVersion_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteModelVersionRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(ModelServiceServer).DeleteModelVersion(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1beta1.ModelService/DeleteModelVersion",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(ModelServiceServer).DeleteModelVersion(ctx, req.(*DeleteModelVersionRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _ModelService_MergeVersionAliases_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(MergeVersionAliasesRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(ModelServiceServer).MergeVersionAliases(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1beta1.ModelService/MergeVersionAliases",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(ModelServiceServer).MergeVersionAliases(ctx, req.(*MergeVersionAliasesRequest))
	}
	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.v1beta1.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_ImportModelEvaluation_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ImportModelEvaluationRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(ModelServiceServer).ImportModelEvaluation(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1beta1.ModelService/ImportModelEvaluation",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(ModelServiceServer).ImportModelEvaluation(ctx, req.(*ImportModelEvaluationRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _ModelService_BatchImportModelEvaluationSlices_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(BatchImportModelEvaluationSlicesRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(ModelServiceServer).BatchImportModelEvaluationSlices(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1beta1.ModelService/BatchImportModelEvaluationSlices",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(ModelServiceServer).BatchImportModelEvaluationSlices(ctx, req.(*BatchImportModelEvaluationSlicesRequest))
	}
	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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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: "ListModelVersions",
			Handler:    _ModelService_ListModelVersions_Handler,
		},
		{
			MethodName: "UpdateModel",
			Handler:    _ModelService_UpdateModel_Handler,
		},
		{
			MethodName: "UpdateExplanationDataset",
			Handler:    _ModelService_UpdateExplanationDataset_Handler,
		},
		{
			MethodName: "DeleteModel",
			Handler:    _ModelService_DeleteModel_Handler,
		},
		{
			MethodName: "DeleteModelVersion",
			Handler:    _ModelService_DeleteModelVersion_Handler,
		},
		{
			MethodName: "MergeVersionAliases",
			Handler:    _ModelService_MergeVersionAliases_Handler,
		},
		{
			MethodName: "ExportModel",
			Handler:    _ModelService_ExportModel_Handler,
		},
		{
			MethodName: "ImportModelEvaluation",
			Handler:    _ModelService_ImportModelEvaluation_Handler,
		},
		{
			MethodName: "BatchImportModelEvaluationSlices",
			Handler:    _ModelService_BatchImportModelEvaluationSlices_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/v1beta1/model_service.proto",
}
