cloud.google.com/go/aiplatform@v1.106.0/apiv1beta1/aiplatformpb/manual_batch_tuning_parameters.pb.go

// 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/manual_batch_tuning_parameters.proto

package aiplatformpb

import (
	_ "google.golang.org/genproto/googleapis/api/annotations"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	reflect "reflect"
	sync "sync"
)

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)
)

// Manual batch tuning parameters.
type ManualBatchTuningParameters struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Immutable. The number of the records (e.g. instances) of the operation
	// given in each batch to a machine replica. Machine type, and size of a
	// single record should be considered when setting this parameter, higher
	// value speeds up the batch operation's execution, but too high value will
	// result in a whole batch not fitting in a machine's memory, and the whole
	// operation will fail.
	// The default value is 64.
	BatchSize int32 `protobuf:"varint,1,opt,name=batch_size,json=batchSize,proto3" json:"batch_size,omitempty"`
}

func (x *ManualBatchTuningParameters) Reset() {
	*x = ManualBatchTuningParameters{}
	mi := &file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ManualBatchTuningParameters) ProtoMessage() {}

func (x *ManualBatchTuningParameters) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_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 ManualBatchTuningParameters.ProtoReflect.Descriptor instead.
func (*ManualBatchTuningParameters) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescGZIP(), []int{0}
}

func (x *ManualBatchTuningParameters) GetBatchSize() int32 {
	if x != nil {
		return x.BatchSize
	}
	return 0
}

var File_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto protoreflect.FileDescriptor

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var (
	file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDesc
)

func file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_goTypes = []any{
	(*ManualBatchTuningParameters)(nil), // 0: google.cloud.aiplatform.v1beta1.ManualBatchTuningParameters
}
var file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_depIdxs = []int32{
	0, // [0:0] is the sub-list for method output_type
	0, // [0:0] is the sub-list for method input_type
	0, // [0:0] is the sub-list for extension type_name
	0, // [0:0] is the sub-list for extension extendee
	0, // [0:0] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_init() }
func file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto != nil {
		return
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   1,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto = out.File
	file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto_depIdxs = nil
}