// Copyright 2025 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 v1.35.2
// 	protoc        v4.25.7
// source: google/cloud/aiplatform/v1beta1/model_service.proto

package aiplatformpb

import (
	reflect "reflect"
	sync "sync"

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

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

// The user accelerator quota state.
type RecommendSpecResponse_Recommendation_QuotaState int32

const (
	// Unspecified quota state. Quota information not available.
	RecommendSpecResponse_Recommendation_QUOTA_STATE_UNSPECIFIED RecommendSpecResponse_Recommendation_QuotaState = 0
	// User has enough accelerator quota for the machine type.
	RecommendSpecResponse_Recommendation_QUOTA_STATE_USER_HAS_QUOTA RecommendSpecResponse_Recommendation_QuotaState = 1
	// User does not have enough accelerator quota for the machine type.
	RecommendSpecResponse_Recommendation_QUOTA_STATE_NO_USER_QUOTA RecommendSpecResponse_Recommendation_QuotaState = 2
)

// Enum value maps for RecommendSpecResponse_Recommendation_QuotaState.
var (
	RecommendSpecResponse_Recommendation_QuotaState_name = map[int32]string{
		0: "QUOTA_STATE_UNSPECIFIED",
		1: "QUOTA_STATE_USER_HAS_QUOTA",
		2: "QUOTA_STATE_NO_USER_QUOTA",
	}
	RecommendSpecResponse_Recommendation_QuotaState_value = map[string]int32{
		"QUOTA_STATE_UNSPECIFIED":    0,
		"QUOTA_STATE_USER_HAS_QUOTA": 1,
		"QUOTA_STATE_NO_USER_QUOTA":  2,
	}
)

func (x RecommendSpecResponse_Recommendation_QuotaState) Enum() *RecommendSpecResponse_Recommendation_QuotaState {
	p := new(RecommendSpecResponse_Recommendation_QuotaState)
	*p = x
	return p
}

func (x RecommendSpecResponse_Recommendation_QuotaState) String() string {
	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}

func (RecommendSpecResponse_Recommendation_QuotaState) Descriptor() protoreflect.EnumDescriptor {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_enumTypes[0].Descriptor()
}

func (RecommendSpecResponse_Recommendation_QuotaState) Type() protoreflect.EnumType {
	return &file_google_cloud_aiplatform_v1beta1_model_service_proto_enumTypes[0]
}

func (x RecommendSpecResponse_Recommendation_QuotaState) Number() protoreflect.EnumNumber {
	return protoreflect.EnumNumber(x)
}

// Deprecated: Use RecommendSpecResponse_Recommendation_QuotaState.Descriptor instead.
func (RecommendSpecResponse_Recommendation_QuotaState) EnumDescriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{36, 1, 0}
}

// 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"`
	// Optional. The user-provided custom service account to use to do the model
	// upload. If empty, [Vertex AI Service
	// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
	// will be used to access resources needed to upload the model. This account
	// must belong to the target project where the model is uploaded to, i.e., the
	// project specified in the `parent` field of this request and have necessary
	// read permissions (to Google Cloud Storage, Artifact Registry, etc.).
	ServiceAccount string `protobuf:"bytes,6,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
}

func (x *UploadModelRequest) Reset() {
	*x = UploadModelRequest{}
	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 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
}

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

// 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{}
	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 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{}
	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 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{}
	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 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"`.
	//   - `base_model_name` only supports =
	//
	// Some examples:
	//
	//   - `model=1234`
	//   - `displayName="myDisplayName"`
	//   - `labels.myKey="myValue"`
	//   - `baseModelName="text-bison"`
	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{}
	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 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{}
	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 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
	// [next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.next_page_token]
	// of the previous
	// [ListModelVersions][google.cloud.aiplatform.v1beta1.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"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   - `create_time`
	//   - `update_time`
	//
	// Example: `update_time asc, create_time desc`.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListModelVersionsRequest) Reset() {
	*x = ListModelVersionsRequest{}
	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 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
}

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

// 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{}
	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 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.ListModelVersionCheckpoints][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints].
type ListModelVersionCheckpointsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the model version to list checkpoints for.
	// `projects/{project}/locations/{location}/models/{model}@{version}`
	// 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 latest version will be
	// used.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [next_page_token][google.cloud.aiplatform.v1beta1.ListModelVersionCheckpointsResponse.next_page_token]
	// of the previous
	// [ListModelVersionCheckpoints][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints]
	// call.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
}

func (x *ListModelVersionCheckpointsRequest) Reset() {
	*x = ListModelVersionCheckpointsRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[8]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ListModelVersionCheckpointsRequest) ProtoMessage() {}

func (x *ListModelVersionCheckpointsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[8]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelVersionCheckpointsRequest.ProtoReflect.Descriptor instead.
func (*ListModelVersionCheckpointsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{8}
}

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

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

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

// A proto representation of a Spanner-stored ModelVersionCheckpoint.
// The meaning of the fields is equivalent to their in-Spanner counterparts.
type ModelVersionCheckpoint struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The ID of the checkpoint.
	CheckpointId string `protobuf:"bytes,1,opt,name=checkpoint_id,json=checkpointId,proto3" json:"checkpoint_id,omitempty"`
	// The epoch of the checkpoint.
	Epoch int64 `protobuf:"varint,2,opt,name=epoch,proto3" json:"epoch,omitempty"`
	// The step of the checkpoint.
	Step int64 `protobuf:"varint,3,opt,name=step,proto3" json:"step,omitempty"`
}

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

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

func (*ModelVersionCheckpoint) ProtoMessage() {}

func (x *ModelVersionCheckpoint) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[9]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ModelVersionCheckpoint.ProtoReflect.Descriptor instead.
func (*ModelVersionCheckpoint) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{9}
}

func (x *ModelVersionCheckpoint) GetCheckpointId() string {
	if x != nil {
		return x.CheckpointId
	}
	return ""
}

func (x *ModelVersionCheckpoint) GetEpoch() int64 {
	if x != nil {
		return x.Epoch
	}
	return 0
}

func (x *ModelVersionCheckpoint) GetStep() int64 {
	if x != nil {
		return x.Step
	}
	return 0
}

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

	// List of Model Version checkpoints.
	Checkpoints []*ModelVersionCheckpoint `protobuf:"bytes,1,rep,name=checkpoints,proto3" json:"checkpoints,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListModelVersionCheckpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelVersionCheckpointsRequest.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 *ListModelVersionCheckpointsResponse) Reset() {
	*x = ListModelVersionCheckpointsResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[10]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ListModelVersionCheckpointsResponse) ProtoMessage() {}

func (x *ListModelVersionCheckpointsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[10]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelVersionCheckpointsResponse.ProtoReflect.Descriptor instead.
func (*ListModelVersionCheckpointsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{10}
}

func (x *ListModelVersionCheckpointsResponse) GetCheckpoints() []*ModelVersionCheckpoint {
	if x != nil {
		return x.Checkpoints
	}
	return nil
}

func (x *ListModelVersionCheckpointsResponse) 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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[11]
	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[11]
	if 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{11}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[12]
	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[12]
	if 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{12}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[13]
	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[13]
	if 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{13}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[14]
	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[14]
	if 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{14}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[15]
	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[15]
	if 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{15}
}

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-zA-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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[16]
	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[16]
	if 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{16}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[17]
	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[17]
	if 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{17}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[18]
	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[18]
	if 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{18}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[19]
	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[19]
	if 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{19}
}

// 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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[20]
	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[20]
	if 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{20}
}

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

	// If both fields are unset, a new Model will be created with a generated ID.
	//
	// Types that are assignable to DestinationModel:
	//
	//	*CopyModelRequest_ModelId
	//	*CopyModelRequest_ParentModel
	DestinationModel isCopyModelRequest_DestinationModel `protobuf_oneof:"destination_model"`
	// Required. The resource name of the Location into which to copy the Model.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The resource name of the Model to copy. That Model must be in the
	// same Project. Format:
	// `projects/{project}/locations/{location}/models/{model}`
	SourceModel string `protobuf:"bytes,2,opt,name=source_model,json=sourceModel,proto3" json:"source_model,omitempty"`
	// Customer-managed encryption key options. If this is set,
	// then the Model copy will be encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,3,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
}

func (x *CopyModelRequest) Reset() {
	*x = CopyModelRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[21]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CopyModelRequest) ProtoMessage() {}

func (x *CopyModelRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[21]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

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

func (m *CopyModelRequest) GetDestinationModel() isCopyModelRequest_DestinationModel {
	if m != nil {
		return m.DestinationModel
	}
	return nil
}

func (x *CopyModelRequest) GetModelId() string {
	if x, ok := x.GetDestinationModel().(*CopyModelRequest_ModelId); ok {
		return x.ModelId
	}
	return ""
}

func (x *CopyModelRequest) GetParentModel() string {
	if x, ok := x.GetDestinationModel().(*CopyModelRequest_ParentModel); ok {
		return x.ParentModel
	}
	return ""
}

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

func (x *CopyModelRequest) GetSourceModel() string {
	if x != nil {
		return x.SourceModel
	}
	return ""
}

func (x *CopyModelRequest) GetEncryptionSpec() *EncryptionSpec {
	if x != nil {
		return x.EncryptionSpec
	}
	return nil
}

type isCopyModelRequest_DestinationModel interface {
	isCopyModelRequest_DestinationModel()
}

type CopyModelRequest_ModelId struct {
	// Optional. Copy source_model into a new Model with this ID. The ID 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,4,opt,name=model_id,json=modelId,proto3,oneof"`
}

type CopyModelRequest_ParentModel struct {
	// Optional. Specify this field to copy source_model into this existing
	// Model as a new version. Format:
	// `projects/{project}/locations/{location}/models/{model}`
	ParentModel string `protobuf:"bytes,5,opt,name=parent_model,json=parentModel,proto3,oneof"`
}

func (*CopyModelRequest_ModelId) isCopyModelRequest_DestinationModel() {}

func (*CopyModelRequest_ParentModel) isCopyModelRequest_DestinationModel() {}

// Details of
// [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel]
// operation.
type CopyModelOperationMetadata 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 *CopyModelOperationMetadata) Reset() {
	*x = CopyModelOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[22]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CopyModelOperationMetadata) ProtoMessage() {}

func (x *CopyModelOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[22]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

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

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

// Response message of
// [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel]
// operation.
type CopyModelResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The name of the copied 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 copied.
	ModelVersionId string `protobuf:"bytes,2,opt,name=model_version_id,json=modelVersionId,proto3" json:"model_version_id,omitempty"`
}

func (x *CopyModelResponse) Reset() {
	*x = CopyModelResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[23]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CopyModelResponse) ProtoMessage() {}

func (x *CopyModelResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[23]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

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

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

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

// 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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[24]
	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[24]
	if 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{24}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[25]
	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[25]
	if 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{25}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[26]
	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[26]
	if 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{26}
}

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

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

	// Required. The name of the parent ModelEvaluationSlice resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. Evaluated annotations resource to be imported.
	EvaluatedAnnotations []*EvaluatedAnnotation `protobuf:"bytes,2,rep,name=evaluated_annotations,json=evaluatedAnnotations,proto3" json:"evaluated_annotations,omitempty"`
}

func (x *BatchImportEvaluatedAnnotationsRequest) Reset() {
	*x = BatchImportEvaluatedAnnotationsRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[27]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*BatchImportEvaluatedAnnotationsRequest) ProtoMessage() {}

func (x *BatchImportEvaluatedAnnotationsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[27]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchImportEvaluatedAnnotationsRequest.ProtoReflect.Descriptor instead.
func (*BatchImportEvaluatedAnnotationsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{27}
}

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

func (x *BatchImportEvaluatedAnnotationsRequest) GetEvaluatedAnnotations() []*EvaluatedAnnotation {
	if x != nil {
		return x.EvaluatedAnnotations
	}
	return nil
}

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

	// Output only. Number of EvaluatedAnnotations imported.
	ImportedEvaluatedAnnotationsCount int32 `protobuf:"varint,1,opt,name=imported_evaluated_annotations_count,json=importedEvaluatedAnnotationsCount,proto3" json:"imported_evaluated_annotations_count,omitempty"`
}

func (x *BatchImportEvaluatedAnnotationsResponse) Reset() {
	*x = BatchImportEvaluatedAnnotationsResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[28]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*BatchImportEvaluatedAnnotationsResponse) ProtoMessage() {}

func (x *BatchImportEvaluatedAnnotationsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[28]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use BatchImportEvaluatedAnnotationsResponse.ProtoReflect.Descriptor instead.
func (*BatchImportEvaluatedAnnotationsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{28}
}

func (x *BatchImportEvaluatedAnnotationsResponse) GetImportedEvaluatedAnnotationsCount() int32 {
	if x != nil {
		return x.ImportedEvaluatedAnnotationsCount
	}
	return 0
}

// 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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[29]
	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[29]
	if 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{29}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[30]
	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[30]
	if 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{30}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[31]
	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[31]
	if 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{31}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[32]
	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[32]
	if 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{32}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[33]
	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[33]
	if 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{33}
}

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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[34]
	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[34]
	if 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{34}
}

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 ""
}

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

	// Required. The resource name of the Location from which to recommend specs.
	// The users must have permission to make a call in the project.
	// Format:
	// `projects/{project}/locations/{location}`.
	Parent string `protobuf:"bytes,2,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Google Cloud Storage URI of the custom model, storing weights
	// and config files (which can be used to infer the base model).
	GcsUri string `protobuf:"bytes,1,opt,name=gcs_uri,json=gcsUri,proto3" json:"gcs_uri,omitempty"`
	// Optional. If true, check machine availability for the recommended regions.
	// Only return the machine spec in regions where the machine is available.
	CheckMachineAvailability bool `protobuf:"varint,3,opt,name=check_machine_availability,json=checkMachineAvailability,proto3" json:"check_machine_availability,omitempty"`
	// Optional. If true, check user quota for the recommended regions.
	// Returns all the machine spec in regions they are available, and also the
	// user quota state for each machine type in each region.
	CheckUserQuota bool `protobuf:"varint,4,opt,name=check_user_quota,json=checkUserQuota,proto3" json:"check_user_quota,omitempty"`
}

func (x *RecommendSpecRequest) Reset() {
	*x = RecommendSpecRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[35]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*RecommendSpecRequest) ProtoMessage() {}

func (x *RecommendSpecRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[35]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use RecommendSpecRequest.ProtoReflect.Descriptor instead.
func (*RecommendSpecRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{35}
}

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

func (x *RecommendSpecRequest) GetGcsUri() string {
	if x != nil {
		return x.GcsUri
	}
	return ""
}

func (x *RecommendSpecRequest) GetCheckMachineAvailability() bool {
	if x != nil {
		return x.CheckMachineAvailability
	}
	return false
}

func (x *RecommendSpecRequest) GetCheckUserQuota() bool {
	if x != nil {
		return x.CheckUserQuota
	}
	return false
}

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

	// Output only. The base model used to finetune the custom model.
	BaseModel string `protobuf:"bytes,1,opt,name=base_model,json=baseModel,proto3" json:"base_model,omitempty"`
	// Output only. Recommendations of deployment options for the given custom
	// weights model.
	Recommendations []*RecommendSpecResponse_Recommendation `protobuf:"bytes,3,rep,name=recommendations,proto3" json:"recommendations,omitempty"`
	// Output only. The machine and model container specs.
	Specs []*RecommendSpecResponse_MachineAndModelContainerSpec `protobuf:"bytes,2,rep,name=specs,proto3" json:"specs,omitempty"`
}

func (x *RecommendSpecResponse) Reset() {
	*x = RecommendSpecResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[36]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*RecommendSpecResponse) ProtoMessage() {}

func (x *RecommendSpecResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[36]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use RecommendSpecResponse.ProtoReflect.Descriptor instead.
func (*RecommendSpecResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{36}
}

func (x *RecommendSpecResponse) GetBaseModel() string {
	if x != nil {
		return x.BaseModel
	}
	return ""
}

func (x *RecommendSpecResponse) GetRecommendations() []*RecommendSpecResponse_Recommendation {
	if x != nil {
		return x.Recommendations
	}
	return nil
}

func (x *RecommendSpecResponse) GetSpecs() []*RecommendSpecResponse_MachineAndModelContainerSpec {
	if x != nil {
		return x.Specs
	}
	return nil
}

// 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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[37]
	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[37]
	if 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{17, 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{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[38]
	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[38]
	if 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{18, 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 ""
}

// A machine and model container spec.
type RecommendSpecResponse_MachineAndModelContainerSpec struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. The machine spec.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Output only. The model container spec.
	ContainerSpec *ModelContainerSpec `protobuf:"bytes,2,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
}

func (x *RecommendSpecResponse_MachineAndModelContainerSpec) Reset() {
	*x = RecommendSpecResponse_MachineAndModelContainerSpec{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[39]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*RecommendSpecResponse_MachineAndModelContainerSpec) ProtoMessage() {}

func (x *RecommendSpecResponse_MachineAndModelContainerSpec) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[39]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use RecommendSpecResponse_MachineAndModelContainerSpec.ProtoReflect.Descriptor instead.
func (*RecommendSpecResponse_MachineAndModelContainerSpec) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{36, 0}
}

func (x *RecommendSpecResponse_MachineAndModelContainerSpec) GetMachineSpec() *MachineSpec {
	if x != nil {
		return x.MachineSpec
	}
	return nil
}

func (x *RecommendSpecResponse_MachineAndModelContainerSpec) GetContainerSpec() *ModelContainerSpec {
	if x != nil {
		return x.ContainerSpec
	}
	return nil
}

// Recommendation of one deployment option for the given custom weights model
// in one region.
// Contains the machine and container spec, and user accelerator quota state.
type RecommendSpecResponse_Recommendation struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The region for the deployment spec (machine).
	Region string `protobuf:"bytes,1,opt,name=region,proto3" json:"region,omitempty"`
	// Output only. The machine and model container specs.
	Spec *RecommendSpecResponse_MachineAndModelContainerSpec `protobuf:"bytes,2,opt,name=spec,proto3" json:"spec,omitempty"`
	// Output only. The user accelerator quota state.
	UserQuotaState RecommendSpecResponse_Recommendation_QuotaState `protobuf:"varint,3,opt,name=user_quota_state,json=userQuotaState,proto3,enum=google.cloud.aiplatform.v1beta1.RecommendSpecResponse_Recommendation_QuotaState" json:"user_quota_state,omitempty"`
}

func (x *RecommendSpecResponse_Recommendation) Reset() {
	*x = RecommendSpecResponse_Recommendation{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[40]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*RecommendSpecResponse_Recommendation) ProtoMessage() {}

func (x *RecommendSpecResponse_Recommendation) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[40]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use RecommendSpecResponse_Recommendation.ProtoReflect.Descriptor instead.
func (*RecommendSpecResponse_Recommendation) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_service_proto_rawDescGZIP(), []int{36, 1}
}

func (x *RecommendSpecResponse_Recommendation) GetRegion() string {
	if x != nil {
		return x.Region
	}
	return ""
}

func (x *RecommendSpecResponse_Recommendation) GetSpec() *RecommendSpecResponse_MachineAndModelContainerSpec {
	if x != nil {
		return x.Spec
	}
	return nil
}

func (x *RecommendSpecResponse_Recommendation) GetUserQuotaState() RecommendSpecResponse_Recommendation_QuotaState {
	if x != nil {
		return x.UserQuotaState
	}
	return RecommendSpecResponse_Recommendation_QUOTA_STATE_UNSPECIFIED
}

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_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes = make([]protoimpl.MessageInfo, 41)
var file_google_cloud_aiplatform_v1beta1_model_service_proto_goTypes = []any{
	(RecommendSpecResponse_Recommendation_QuotaState)(0),       // 0: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation.QuotaState
	(*UploadModelRequest)(nil),                                 // 1: google.cloud.aiplatform.v1beta1.UploadModelRequest
	(*UploadModelOperationMetadata)(nil),                       // 2: google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata
	(*UploadModelResponse)(nil),                                // 3: google.cloud.aiplatform.v1beta1.UploadModelResponse
	(*GetModelRequest)(nil),                                    // 4: google.cloud.aiplatform.v1beta1.GetModelRequest
	(*ListModelsRequest)(nil),                                  // 5: google.cloud.aiplatform.v1beta1.ListModelsRequest
	(*ListModelsResponse)(nil),                                 // 6: google.cloud.aiplatform.v1beta1.ListModelsResponse
	(*ListModelVersionsRequest)(nil),                           // 7: google.cloud.aiplatform.v1beta1.ListModelVersionsRequest
	(*ListModelVersionsResponse)(nil),                          // 8: google.cloud.aiplatform.v1beta1.ListModelVersionsResponse
	(*ListModelVersionCheckpointsRequest)(nil),                 // 9: google.cloud.aiplatform.v1beta1.ListModelVersionCheckpointsRequest
	(*ModelVersionCheckpoint)(nil),                             // 10: google.cloud.aiplatform.v1beta1.ModelVersionCheckpoint
	(*ListModelVersionCheckpointsResponse)(nil),                // 11: google.cloud.aiplatform.v1beta1.ListModelVersionCheckpointsResponse
	(*UpdateModelRequest)(nil),                                 // 12: google.cloud.aiplatform.v1beta1.UpdateModelRequest
	(*UpdateExplanationDatasetRequest)(nil),                    // 13: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest
	(*UpdateExplanationDatasetOperationMetadata)(nil),          // 14: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetOperationMetadata
	(*DeleteModelRequest)(nil),                                 // 15: google.cloud.aiplatform.v1beta1.DeleteModelRequest
	(*DeleteModelVersionRequest)(nil),                          // 16: google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest
	(*MergeVersionAliasesRequest)(nil),                         // 17: google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest
	(*ExportModelRequest)(nil),                                 // 18: google.cloud.aiplatform.v1beta1.ExportModelRequest
	(*ExportModelOperationMetadata)(nil),                       // 19: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata
	(*UpdateExplanationDatasetResponse)(nil),                   // 20: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetResponse
	(*ExportModelResponse)(nil),                                // 21: google.cloud.aiplatform.v1beta1.ExportModelResponse
	(*CopyModelRequest)(nil),                                   // 22: google.cloud.aiplatform.v1beta1.CopyModelRequest
	(*CopyModelOperationMetadata)(nil),                         // 23: google.cloud.aiplatform.v1beta1.CopyModelOperationMetadata
	(*CopyModelResponse)(nil),                                  // 24: google.cloud.aiplatform.v1beta1.CopyModelResponse
	(*ImportModelEvaluationRequest)(nil),                       // 25: google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest
	(*BatchImportModelEvaluationSlicesRequest)(nil),            // 26: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
	(*BatchImportModelEvaluationSlicesResponse)(nil),           // 27: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
	(*BatchImportEvaluatedAnnotationsRequest)(nil),             // 28: google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsRequest
	(*BatchImportEvaluatedAnnotationsResponse)(nil),            // 29: google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsResponse
	(*GetModelEvaluationRequest)(nil),                          // 30: google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest
	(*ListModelEvaluationsRequest)(nil),                        // 31: google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest
	(*ListModelEvaluationsResponse)(nil),                       // 32: google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse
	(*GetModelEvaluationSliceRequest)(nil),                     // 33: google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest
	(*ListModelEvaluationSlicesRequest)(nil),                   // 34: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest
	(*ListModelEvaluationSlicesResponse)(nil),                  // 35: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse
	(*RecommendSpecRequest)(nil),                               // 36: google.cloud.aiplatform.v1beta1.RecommendSpecRequest
	(*RecommendSpecResponse)(nil),                              // 37: google.cloud.aiplatform.v1beta1.RecommendSpecResponse
	(*ExportModelRequest_OutputConfig)(nil),                    // 38: google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig
	(*ExportModelOperationMetadata_OutputInfo)(nil),            // 39: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.OutputInfo
	(*RecommendSpecResponse_MachineAndModelContainerSpec)(nil), // 40: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec
	(*RecommendSpecResponse_Recommendation)(nil),               // 41: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation
	(*Model)(nil),                        // 42: google.cloud.aiplatform.v1beta1.Model
	(*GenericOperationMetadata)(nil),     // 43: google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	(*fieldmaskpb.FieldMask)(nil),        // 44: google.protobuf.FieldMask
	(*Examples)(nil),                     // 45: google.cloud.aiplatform.v1beta1.Examples
	(*EncryptionSpec)(nil),               // 46: google.cloud.aiplatform.v1beta1.EncryptionSpec
	(*ModelEvaluation)(nil),              // 47: google.cloud.aiplatform.v1beta1.ModelEvaluation
	(*ModelEvaluationSlice)(nil),         // 48: google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	(*EvaluatedAnnotation)(nil),          // 49: google.cloud.aiplatform.v1beta1.EvaluatedAnnotation
	(*GcsDestination)(nil),               // 50: google.cloud.aiplatform.v1beta1.GcsDestination
	(*ContainerRegistryDestination)(nil), // 51: google.cloud.aiplatform.v1beta1.ContainerRegistryDestination
	(*MachineSpec)(nil),                  // 52: google.cloud.aiplatform.v1beta1.MachineSpec
	(*ModelContainerSpec)(nil),           // 53: google.cloud.aiplatform.v1beta1.ModelContainerSpec
	(*longrunningpb.Operation)(nil),      // 54: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1beta1_model_service_proto_depIdxs = []int32{
	42, // 0: google.cloud.aiplatform.v1beta1.UploadModelRequest.model:type_name -> google.cloud.aiplatform.v1beta1.Model
	43, // 1: google.cloud.aiplatform.v1beta1.UploadModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	44, // 2: google.cloud.aiplatform.v1beta1.ListModelsRequest.read_mask:type_name -> google.protobuf.FieldMask
	42, // 3: google.cloud.aiplatform.v1beta1.ListModelsResponse.models:type_name -> google.cloud.aiplatform.v1beta1.Model
	44, // 4: google.cloud.aiplatform.v1beta1.ListModelVersionsRequest.read_mask:type_name -> google.protobuf.FieldMask
	42, // 5: google.cloud.aiplatform.v1beta1.ListModelVersionsResponse.models:type_name -> google.cloud.aiplatform.v1beta1.Model
	10, // 6: google.cloud.aiplatform.v1beta1.ListModelVersionCheckpointsResponse.checkpoints:type_name -> google.cloud.aiplatform.v1beta1.ModelVersionCheckpoint
	42, // 7: google.cloud.aiplatform.v1beta1.UpdateModelRequest.model:type_name -> google.cloud.aiplatform.v1beta1.Model
	44, // 8: google.cloud.aiplatform.v1beta1.UpdateModelRequest.update_mask:type_name -> google.protobuf.FieldMask
	45, // 9: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest.examples:type_name -> google.cloud.aiplatform.v1beta1.Examples
	43, // 10: google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	38, // 11: google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config:type_name -> google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig
	43, // 12: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	39, // 13: google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.output_info:type_name -> google.cloud.aiplatform.v1beta1.ExportModelOperationMetadata.OutputInfo
	46, // 14: google.cloud.aiplatform.v1beta1.CopyModelRequest.encryption_spec:type_name -> google.cloud.aiplatform.v1beta1.EncryptionSpec
	43, // 15: google.cloud.aiplatform.v1beta1.CopyModelOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	47, // 16: google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest.model_evaluation:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	48, // 17: google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest.model_evaluation_slices:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	49, // 18: google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsRequest.evaluated_annotations:type_name -> google.cloud.aiplatform.v1beta1.EvaluatedAnnotation
	44, // 19: google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.read_mask:type_name -> google.protobuf.FieldMask
	47, // 20: google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.model_evaluations:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	44, // 21: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.read_mask:type_name -> google.protobuf.FieldMask
	48, // 22: google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.model_evaluation_slices:type_name -> google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	41, // 23: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.recommendations:type_name -> google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation
	40, // 24: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.specs:type_name -> google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec
	50, // 25: google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig.artifact_destination:type_name -> google.cloud.aiplatform.v1beta1.GcsDestination
	51, // 26: google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig.image_destination:type_name -> google.cloud.aiplatform.v1beta1.ContainerRegistryDestination
	52, // 27: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec.machine_spec:type_name -> google.cloud.aiplatform.v1beta1.MachineSpec
	53, // 28: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec.container_spec:type_name -> google.cloud.aiplatform.v1beta1.ModelContainerSpec
	40, // 29: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation.spec:type_name -> google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec
	0,  // 30: google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation.user_quota_state:type_name -> google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation.QuotaState
	1,  // 31: google.cloud.aiplatform.v1beta1.ModelService.UploadModel:input_type -> google.cloud.aiplatform.v1beta1.UploadModelRequest
	4,  // 32: google.cloud.aiplatform.v1beta1.ModelService.GetModel:input_type -> google.cloud.aiplatform.v1beta1.GetModelRequest
	5,  // 33: google.cloud.aiplatform.v1beta1.ModelService.ListModels:input_type -> google.cloud.aiplatform.v1beta1.ListModelsRequest
	7,  // 34: google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions:input_type -> google.cloud.aiplatform.v1beta1.ListModelVersionsRequest
	9,  // 35: google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints:input_type -> google.cloud.aiplatform.v1beta1.ListModelVersionCheckpointsRequest
	12, // 36: google.cloud.aiplatform.v1beta1.ModelService.UpdateModel:input_type -> google.cloud.aiplatform.v1beta1.UpdateModelRequest
	13, // 37: google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset:input_type -> google.cloud.aiplatform.v1beta1.UpdateExplanationDatasetRequest
	15, // 38: google.cloud.aiplatform.v1beta1.ModelService.DeleteModel:input_type -> google.cloud.aiplatform.v1beta1.DeleteModelRequest
	16, // 39: google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion:input_type -> google.cloud.aiplatform.v1beta1.DeleteModelVersionRequest
	17, // 40: google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases:input_type -> google.cloud.aiplatform.v1beta1.MergeVersionAliasesRequest
	18, // 41: google.cloud.aiplatform.v1beta1.ModelService.ExportModel:input_type -> google.cloud.aiplatform.v1beta1.ExportModelRequest
	22, // 42: google.cloud.aiplatform.v1beta1.ModelService.CopyModel:input_type -> google.cloud.aiplatform.v1beta1.CopyModelRequest
	25, // 43: google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation:input_type -> google.cloud.aiplatform.v1beta1.ImportModelEvaluationRequest
	26, // 44: google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices:input_type -> google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesRequest
	28, // 45: google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations:input_type -> google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsRequest
	30, // 46: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation:input_type -> google.cloud.aiplatform.v1beta1.GetModelEvaluationRequest
	31, // 47: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations:input_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest
	33, // 48: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice:input_type -> google.cloud.aiplatform.v1beta1.GetModelEvaluationSliceRequest
	34, // 49: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices:input_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest
	36, // 50: google.cloud.aiplatform.v1beta1.ModelService.RecommendSpec:input_type -> google.cloud.aiplatform.v1beta1.RecommendSpecRequest
	54, // 51: google.cloud.aiplatform.v1beta1.ModelService.UploadModel:output_type -> google.longrunning.Operation
	42, // 52: google.cloud.aiplatform.v1beta1.ModelService.GetModel:output_type -> google.cloud.aiplatform.v1beta1.Model
	6,  // 53: google.cloud.aiplatform.v1beta1.ModelService.ListModels:output_type -> google.cloud.aiplatform.v1beta1.ListModelsResponse
	8,  // 54: google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions:output_type -> google.cloud.aiplatform.v1beta1.ListModelVersionsResponse
	11, // 55: google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints:output_type -> google.cloud.aiplatform.v1beta1.ListModelVersionCheckpointsResponse
	42, // 56: google.cloud.aiplatform.v1beta1.ModelService.UpdateModel:output_type -> google.cloud.aiplatform.v1beta1.Model
	54, // 57: google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset:output_type -> google.longrunning.Operation
	54, // 58: google.cloud.aiplatform.v1beta1.ModelService.DeleteModel:output_type -> google.longrunning.Operation
	54, // 59: google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion:output_type -> google.longrunning.Operation
	42, // 60: google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases:output_type -> google.cloud.aiplatform.v1beta1.Model
	54, // 61: google.cloud.aiplatform.v1beta1.ModelService.ExportModel:output_type -> google.longrunning.Operation
	54, // 62: google.cloud.aiplatform.v1beta1.ModelService.CopyModel:output_type -> google.longrunning.Operation
	47, // 63: google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation:output_type -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	27, // 64: google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices:output_type -> google.cloud.aiplatform.v1beta1.BatchImportModelEvaluationSlicesResponse
	29, // 65: google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations:output_type -> google.cloud.aiplatform.v1beta1.BatchImportEvaluatedAnnotationsResponse
	47, // 66: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation:output_type -> google.cloud.aiplatform.v1beta1.ModelEvaluation
	32, // 67: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations:output_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse
	48, // 68: google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice:output_type -> google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
	35, // 69: google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices:output_type -> google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse
	37, // 70: google.cloud.aiplatform.v1beta1.ModelService.RecommendSpec:output_type -> google.cloud.aiplatform.v1beta1.RecommendSpecResponse
	51, // [51:71] is the sub-list for method output_type
	31, // [31:51] is the sub-list for method input_type
	31, // [31:31] is the sub-list for extension type_name
	31, // [31:31] is the sub-list for extension extendee
	0,  // [0:31] 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_encryption_spec_proto_init()
	file_google_cloud_aiplatform_v1beta1_evaluated_annotation_proto_init()
	file_google_cloud_aiplatform_v1beta1_explanation_proto_init()
	file_google_cloud_aiplatform_v1beta1_io_proto_init()
	file_google_cloud_aiplatform_v1beta1_machine_resources_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()
	file_google_cloud_aiplatform_v1beta1_model_service_proto_msgTypes[21].OneofWrappers = []any{
		(*CopyModelRequest_ModelId)(nil),
		(*CopyModelRequest_ParentModel)(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:      1,
			NumMessages:   41,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_model_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_model_service_proto_depIdxs,
		EnumInfos:         file_google_cloud_aiplatform_v1beta1_model_service_proto_enumTypes,
		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
}
