// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.30.0
// 	protoc        (unknown)
// source: flyteidl/plugins/tensorflow.proto

package plugins

import (
	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)
)

// Custom proto for plugin that enables distributed training using https://github.com/kubeflow/tf-operator
type DistributedTensorflowTrainingTask struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// number of worker replicas spawned in the cluster for this job
	Workers int32 `protobuf:"varint,1,opt,name=workers,proto3" json:"workers,omitempty"`
	// PS -> Parameter server
	// number of ps replicas spawned in the cluster for this job
	PsReplicas int32 `protobuf:"varint,2,opt,name=ps_replicas,json=psReplicas,proto3" json:"ps_replicas,omitempty"`
	// number of chief replicas spawned in the cluster for this job
	ChiefReplicas int32 `protobuf:"varint,3,opt,name=chief_replicas,json=chiefReplicas,proto3" json:"chief_replicas,omitempty"`
	// number of evaluator replicas spawned in the cluster for this job
	EvaluatorReplicas int32 `protobuf:"varint,4,opt,name=evaluator_replicas,json=evaluatorReplicas,proto3" json:"evaluator_replicas,omitempty"`
}

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

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

func (*DistributedTensorflowTrainingTask) ProtoMessage() {}

func (x *DistributedTensorflowTrainingTask) ProtoReflect() protoreflect.Message {
	mi := &file_flyteidl_plugins_tensorflow_proto_msgTypes[0]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

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

func (x *DistributedTensorflowTrainingTask) GetWorkers() int32 {
	if x != nil {
		return x.Workers
	}
	return 0
}

func (x *DistributedTensorflowTrainingTask) GetPsReplicas() int32 {
	if x != nil {
		return x.PsReplicas
	}
	return 0
}

func (x *DistributedTensorflowTrainingTask) GetChiefReplicas() int32 {
	if x != nil {
		return x.ChiefReplicas
	}
	return 0
}

func (x *DistributedTensorflowTrainingTask) GetEvaluatorReplicas() int32 {
	if x != nil {
		return x.EvaluatorReplicas
	}
	return 0
}

var File_flyteidl_plugins_tensorflow_proto protoreflect.FileDescriptor

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}

var (
	file_flyteidl_plugins_tensorflow_proto_rawDescOnce sync.Once
	file_flyteidl_plugins_tensorflow_proto_rawDescData = file_flyteidl_plugins_tensorflow_proto_rawDesc
)

func file_flyteidl_plugins_tensorflow_proto_rawDescGZIP() []byte {
	file_flyteidl_plugins_tensorflow_proto_rawDescOnce.Do(func() {
		file_flyteidl_plugins_tensorflow_proto_rawDescData = protoimpl.X.CompressGZIP(file_flyteidl_plugins_tensorflow_proto_rawDescData)
	})
	return file_flyteidl_plugins_tensorflow_proto_rawDescData
}

var file_flyteidl_plugins_tensorflow_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_flyteidl_plugins_tensorflow_proto_goTypes = []interface{}{
	(*DistributedTensorflowTrainingTask)(nil), // 0: flyteidl.plugins.DistributedTensorflowTrainingTask
}
var file_flyteidl_plugins_tensorflow_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_flyteidl_plugins_tensorflow_proto_init() }
func file_flyteidl_plugins_tensorflow_proto_init() {
	if File_flyteidl_plugins_tensorflow_proto != nil {
		return
	}
	if !protoimpl.UnsafeEnabled {
		file_flyteidl_plugins_tensorflow_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DistributedTensorflowTrainingTask); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_flyteidl_plugins_tensorflow_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   1,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_flyteidl_plugins_tensorflow_proto_goTypes,
		DependencyIndexes: file_flyteidl_plugins_tensorflow_proto_depIdxs,
		MessageInfos:      file_flyteidl_plugins_tensorflow_proto_msgTypes,
	}.Build()
	File_flyteidl_plugins_tensorflow_proto = out.File
	file_flyteidl_plugins_tensorflow_proto_rawDesc = nil
	file_flyteidl_plugins_tensorflow_proto_goTypes = nil
	file_flyteidl_plugins_tensorflow_proto_depIdxs = nil
}
