tensorflow.pb.go

// Code generated by protoc-gen-go. DO NOT EDIT.
// source: flyteidl/plugins/tensorflow.proto

package plugins

import (
	fmt "fmt"
	proto "github.com/golang/protobuf/proto"
	math "math"
)

// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf

// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package

// Custom proto for plugin that enables distributed training using https://github.com/kubeflow/tf-operator
type DistributedTensorflowTrainingTask struct {
	// number of worker, ps, chief replicas spawned in the cluster for this job
	Workers int32 `protobuf:"varint,1,opt,name=workers,proto3" json:"workers,omitempty"`
	// PS -> Parameter server
	PsReplicas           int32    `protobuf:"varint,2,opt,name=ps_replicas,json=psReplicas,proto3" json:"ps_replicas,omitempty"`
	ChiefReplicas        int32    `protobuf:"varint,3,opt,name=chief_replicas,json=chiefReplicas,proto3" json:"chief_replicas,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

func (m *DistributedTensorflowTrainingTask) Reset()         { *m = DistributedTensorflowTrainingTask{} }
func (m *DistributedTensorflowTrainingTask) String() string { return proto.CompactTextString(m) }
func (*DistributedTensorflowTrainingTask) ProtoMessage()    {}
func (*DistributedTensorflowTrainingTask) Descriptor() ([]byte, []int) {
	return fileDescriptor_8da02783614e1bcc, []int{0}
}

func (m *DistributedTensorflowTrainingTask) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_DistributedTensorflowTrainingTask.Unmarshal(m, b)
}
func (m *DistributedTensorflowTrainingTask) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_DistributedTensorflowTrainingTask.Marshal(b, m, deterministic)
}
func (m *DistributedTensorflowTrainingTask) XXX_Merge(src proto.Message) {
	xxx_messageInfo_DistributedTensorflowTrainingTask.Merge(m, src)
}
func (m *DistributedTensorflowTrainingTask) XXX_Size() int {
	return xxx_messageInfo_DistributedTensorflowTrainingTask.Size(m)
}
func (m *DistributedTensorflowTrainingTask) XXX_DiscardUnknown() {
	xxx_messageInfo_DistributedTensorflowTrainingTask.DiscardUnknown(m)
}

var xxx_messageInfo_DistributedTensorflowTrainingTask proto.InternalMessageInfo

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

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

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

func init() {
	proto.RegisterType((*DistributedTensorflowTrainingTask)(nil), "flyteidl.plugins.DistributedTensorflowTrainingTask")
}

func init() { proto.RegisterFile("flyteidl/plugins/tensorflow.proto", fileDescriptor_8da02783614e1bcc) }

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