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variable.pb.go
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variable.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.28.0
// protoc v3.6.1
// source: tensorflow/core/framework/variable.proto
package variable_go_proto
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)
)
// Indicates when a distributed variable will be synced.
type VariableSynchronization int32
const (
// `AUTO`: Indicates that the synchronization will be determined by the
// current `DistributionStrategy` (eg. With `MirroredStrategy` this would be
// `ON_WRITE`).
VariableSynchronization_VARIABLE_SYNCHRONIZATION_AUTO VariableSynchronization = 0
// `NONE`: Indicates that there will only be one copy of the variable, so
// there is no need to sync.
VariableSynchronization_VARIABLE_SYNCHRONIZATION_NONE VariableSynchronization = 1
// `ON_WRITE`: Indicates that the variable will be updated across devices
// every time it is written.
VariableSynchronization_VARIABLE_SYNCHRONIZATION_ON_WRITE VariableSynchronization = 2
// `ON_READ`: Indicates that the variable will be aggregated across devices
// when it is read (eg. when checkpointing or when evaluating an op that uses
// the variable).
VariableSynchronization_VARIABLE_SYNCHRONIZATION_ON_READ VariableSynchronization = 3
)
// Enum value maps for VariableSynchronization.
var (
VariableSynchronization_name = map[int32]string{
0: "VARIABLE_SYNCHRONIZATION_AUTO",
1: "VARIABLE_SYNCHRONIZATION_NONE",
2: "VARIABLE_SYNCHRONIZATION_ON_WRITE",
3: "VARIABLE_SYNCHRONIZATION_ON_READ",
}
VariableSynchronization_value = map[string]int32{
"VARIABLE_SYNCHRONIZATION_AUTO": 0,
"VARIABLE_SYNCHRONIZATION_NONE": 1,
"VARIABLE_SYNCHRONIZATION_ON_WRITE": 2,
"VARIABLE_SYNCHRONIZATION_ON_READ": 3,
}
)
func (x VariableSynchronization) Enum() *VariableSynchronization {
p := new(VariableSynchronization)
*p = x
return p
}
func (x VariableSynchronization) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (VariableSynchronization) Descriptor() protoreflect.EnumDescriptor {
return file_tensorflow_core_framework_variable_proto_enumTypes[0].Descriptor()
}
func (VariableSynchronization) Type() protoreflect.EnumType {
return &file_tensorflow_core_framework_variable_proto_enumTypes[0]
}
func (x VariableSynchronization) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use VariableSynchronization.Descriptor instead.
func (VariableSynchronization) EnumDescriptor() ([]byte, []int) {
return file_tensorflow_core_framework_variable_proto_rawDescGZIP(), []int{0}
}
// Indicates how a distributed variable will be aggregated.
type VariableAggregation int32
const (
// `NONE`: This is the default, giving an error if you use a
// variable-update operation with multiple replicas.
VariableAggregation_VARIABLE_AGGREGATION_NONE VariableAggregation = 0
// `SUM`: Add the updates across replicas.
VariableAggregation_VARIABLE_AGGREGATION_SUM VariableAggregation = 1
// `MEAN`: Take the arithmetic mean ("average") of the updates across
// replicas.
VariableAggregation_VARIABLE_AGGREGATION_MEAN VariableAggregation = 2
// `ONLY_FIRST_REPLICA`: This is for when every replica is performing the same
// update, but we only want to perform the update once. Used, e.g., for the
// global step counter.
VariableAggregation_VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA VariableAggregation = 3
)
// Enum value maps for VariableAggregation.
var (
VariableAggregation_name = map[int32]string{
0: "VARIABLE_AGGREGATION_NONE",
1: "VARIABLE_AGGREGATION_SUM",
2: "VARIABLE_AGGREGATION_MEAN",
3: "VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA",
}
VariableAggregation_value = map[string]int32{
"VARIABLE_AGGREGATION_NONE": 0,
"VARIABLE_AGGREGATION_SUM": 1,
"VARIABLE_AGGREGATION_MEAN": 2,
"VARIABLE_AGGREGATION_ONLY_FIRST_REPLICA": 3,
}
)
func (x VariableAggregation) Enum() *VariableAggregation {
p := new(VariableAggregation)
*p = x
return p
}
func (x VariableAggregation) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (VariableAggregation) Descriptor() protoreflect.EnumDescriptor {
return file_tensorflow_core_framework_variable_proto_enumTypes[1].Descriptor()
}
func (VariableAggregation) Type() protoreflect.EnumType {
return &file_tensorflow_core_framework_variable_proto_enumTypes[1]
}
func (x VariableAggregation) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use VariableAggregation.Descriptor instead.
func (VariableAggregation) EnumDescriptor() ([]byte, []int) {
return file_tensorflow_core_framework_variable_proto_rawDescGZIP(), []int{1}
}
// Protocol buffer representing a Variable.
type VariableDef struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Name of the variable tensor.
VariableName string `protobuf:"bytes,1,opt,name=variable_name,json=variableName,proto3" json:"variable_name,omitempty"`
// Name of the tensor holding the variable's initial value.
InitialValueName string `protobuf:"bytes,6,opt,name=initial_value_name,json=initialValueName,proto3" json:"initial_value_name,omitempty"`
// Name of the initializer op.
InitializerName string `protobuf:"bytes,2,opt,name=initializer_name,json=initializerName,proto3" json:"initializer_name,omitempty"`
// Name of the snapshot tensor.
SnapshotName string `protobuf:"bytes,3,opt,name=snapshot_name,json=snapshotName,proto3" json:"snapshot_name,omitempty"`
// Support for saving variables as slices of a larger variable.
SaveSliceInfoDef *SaveSliceInfoDef `protobuf:"bytes,4,opt,name=save_slice_info_def,json=saveSliceInfoDef,proto3" json:"save_slice_info_def,omitempty"`
// Whether to represent this as a ResourceVariable.
IsResource bool `protobuf:"varint,5,opt,name=is_resource,json=isResource,proto3" json:"is_resource,omitempty"`
// Whether this variable should be trained.
Trainable bool `protobuf:"varint,7,opt,name=trainable,proto3" json:"trainable,omitempty"`
// Indicates when a distributed variable will be synced.
Synchronization VariableSynchronization `protobuf:"varint,8,opt,name=synchronization,proto3,enum=tensorflow.VariableSynchronization" json:"synchronization,omitempty"`
// Indicates how a distributed variable will be aggregated.
Aggregation VariableAggregation `protobuf:"varint,9,opt,name=aggregation,proto3,enum=tensorflow.VariableAggregation" json:"aggregation,omitempty"`
}
func (x *VariableDef) Reset() {
*x = VariableDef{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_variable_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *VariableDef) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*VariableDef) ProtoMessage() {}
func (x *VariableDef) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_variable_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 VariableDef.ProtoReflect.Descriptor instead.
func (*VariableDef) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_variable_proto_rawDescGZIP(), []int{0}
}
func (x *VariableDef) GetVariableName() string {
if x != nil {
return x.VariableName
}
return ""
}
func (x *VariableDef) GetInitialValueName() string {
if x != nil {
return x.InitialValueName
}
return ""
}
func (x *VariableDef) GetInitializerName() string {
if x != nil {
return x.InitializerName
}
return ""
}
func (x *VariableDef) GetSnapshotName() string {
if x != nil {
return x.SnapshotName
}
return ""
}
func (x *VariableDef) GetSaveSliceInfoDef() *SaveSliceInfoDef {
if x != nil {
return x.SaveSliceInfoDef
}
return nil
}
func (x *VariableDef) GetIsResource() bool {
if x != nil {
return x.IsResource
}
return false
}
func (x *VariableDef) GetTrainable() bool {
if x != nil {
return x.Trainable
}
return false
}
func (x *VariableDef) GetSynchronization() VariableSynchronization {
if x != nil {
return x.Synchronization
}
return VariableSynchronization_VARIABLE_SYNCHRONIZATION_AUTO
}
func (x *VariableDef) GetAggregation() VariableAggregation {
if x != nil {
return x.Aggregation
}
return VariableAggregation_VARIABLE_AGGREGATION_NONE
}
type SaveSliceInfoDef struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Name of the full variable of which this is a slice.
FullName string `protobuf:"bytes,1,opt,name=full_name,json=fullName,proto3" json:"full_name,omitempty"`
// Shape of the full variable.
FullShape []int64 `protobuf:"varint,2,rep,packed,name=full_shape,json=fullShape,proto3" json:"full_shape,omitempty"`
// Offset of this variable into the full variable.
VarOffset []int64 `protobuf:"varint,3,rep,packed,name=var_offset,json=varOffset,proto3" json:"var_offset,omitempty"`
// Shape of this variable.
VarShape []int64 `protobuf:"varint,4,rep,packed,name=var_shape,json=varShape,proto3" json:"var_shape,omitempty"`
}
func (x *SaveSliceInfoDef) Reset() {
*x = SaveSliceInfoDef{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_variable_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SaveSliceInfoDef) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SaveSliceInfoDef) ProtoMessage() {}
func (x *SaveSliceInfoDef) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_variable_proto_msgTypes[1]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use SaveSliceInfoDef.ProtoReflect.Descriptor instead.
func (*SaveSliceInfoDef) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_variable_proto_rawDescGZIP(), []int{1}
}
func (x *SaveSliceInfoDef) GetFullName() string {
if x != nil {
return x.FullName
}
return ""
}
func (x *SaveSliceInfoDef) GetFullShape() []int64 {
if x != nil {
return x.FullShape
}
return nil
}
func (x *SaveSliceInfoDef) GetVarOffset() []int64 {
if x != nil {
return x.VarOffset
}
return nil
}
func (x *SaveSliceInfoDef) GetVarShape() []int64 {
if x != nil {
return x.VarShape
}
return nil
}
var File_tensorflow_core_framework_variable_proto protoreflect.FileDescriptor
var file_tensorflow_core_framework_variable_proto_rawDesc = []byte{
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}
var (
file_tensorflow_core_framework_variable_proto_rawDescOnce sync.Once
file_tensorflow_core_framework_variable_proto_rawDescData = file_tensorflow_core_framework_variable_proto_rawDesc
)
func file_tensorflow_core_framework_variable_proto_rawDescGZIP() []byte {
file_tensorflow_core_framework_variable_proto_rawDescOnce.Do(func() {
file_tensorflow_core_framework_variable_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_framework_variable_proto_rawDescData)
})
return file_tensorflow_core_framework_variable_proto_rawDescData
}
var file_tensorflow_core_framework_variable_proto_enumTypes = make([]protoimpl.EnumInfo, 2)
var file_tensorflow_core_framework_variable_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_tensorflow_core_framework_variable_proto_goTypes = []interface{}{
(VariableSynchronization)(0), // 0: tensorflow.VariableSynchronization
(VariableAggregation)(0), // 1: tensorflow.VariableAggregation
(*VariableDef)(nil), // 2: tensorflow.VariableDef
(*SaveSliceInfoDef)(nil), // 3: tensorflow.SaveSliceInfoDef
}
var file_tensorflow_core_framework_variable_proto_depIdxs = []int32{
3, // 0: tensorflow.VariableDef.save_slice_info_def:type_name -> tensorflow.SaveSliceInfoDef
0, // 1: tensorflow.VariableDef.synchronization:type_name -> tensorflow.VariableSynchronization
1, // 2: tensorflow.VariableDef.aggregation:type_name -> tensorflow.VariableAggregation
3, // [3:3] is the sub-list for method output_type
3, // [3:3] is the sub-list for method input_type
3, // [3:3] is the sub-list for extension type_name
3, // [3:3] is the sub-list for extension extendee
0, // [0:3] is the sub-list for field type_name
}
func init() { file_tensorflow_core_framework_variable_proto_init() }
func file_tensorflow_core_framework_variable_proto_init() {
if File_tensorflow_core_framework_variable_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_framework_variable_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*VariableDef); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_variable_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SaveSliceInfoDef); 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_tensorflow_core_framework_variable_proto_rawDesc,
NumEnums: 2,
NumMessages: 2,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_framework_variable_proto_goTypes,
DependencyIndexes: file_tensorflow_core_framework_variable_proto_depIdxs,
EnumInfos: file_tensorflow_core_framework_variable_proto_enumTypes,
MessageInfos: file_tensorflow_core_framework_variable_proto_msgTypes,
}.Build()
File_tensorflow_core_framework_variable_proto = out.File
file_tensorflow_core_framework_variable_proto_rawDesc = nil
file_tensorflow_core_framework_variable_proto_goTypes = nil
file_tensorflow_core_framework_variable_proto_depIdxs = nil
}