/
saved_tensor_slice.pb.go
493 lines (443 loc) · 20.1 KB
/
saved_tensor_slice.pb.go
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// Protocol buffers for saved tensor slices. It's used for the brain tensor
// ops checkpoints and the V3 checkpoints in dist_belief.
// A checkpoint file is an sstable. The value for each record is a serialized
// SavedTensorSlices message (defined below).
//
// Each checkpoint file has a record with the empty key (""), which corresponds
// to a SavedTensorSlices message that contains a "meta", that serves as a
// table of contents on all the tensor slices saved in this file. Since the key
// is "", it's always the first record in each file.
//
// Each of the rest of the records in a checkpoint stores the raw data of a
// particular tensor slice, in SavedSlice format. The corresponding key is an
// ordered code that encodes the name of the tensor and the slice
// information. The name is also stored in the SaveSlice message for ease of
// debugging and manual examination.
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow/core/util/saved_tensor_slice.proto
package util
import (
framework "github.com/airenas/go-tf-serving-protogen/tensorflow/core/framework"
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)
)
// Metadata describing the set of slices of the same tensor saved in a
// checkpoint file.
type SavedSliceMeta struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Name of the tensor.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Shape of the tensor
Shape *framework.TensorShapeProto `protobuf:"bytes,2,opt,name=shape,proto3" json:"shape,omitempty"`
// Type of the tensor
Type framework.DataType `protobuf:"varint,3,opt,name=type,proto3,enum=tensorflow.DataType" json:"type,omitempty"`
// Explicit list of slices saved in the checkpoint file.
Slice []*framework.TensorSliceProto `protobuf:"bytes,4,rep,name=slice,proto3" json:"slice,omitempty"`
}
func (x *SavedSliceMeta) Reset() {
*x = SavedSliceMeta{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SavedSliceMeta) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SavedSliceMeta) ProtoMessage() {}
func (x *SavedSliceMeta) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_util_saved_tensor_slice_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 SavedSliceMeta.ProtoReflect.Descriptor instead.
func (*SavedSliceMeta) Descriptor() ([]byte, []int) {
return file_tensorflow_core_util_saved_tensor_slice_proto_rawDescGZIP(), []int{0}
}
func (x *SavedSliceMeta) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *SavedSliceMeta) GetShape() *framework.TensorShapeProto {
if x != nil {
return x.Shape
}
return nil
}
func (x *SavedSliceMeta) GetType() framework.DataType {
if x != nil {
return x.Type
}
return framework.DataType(0)
}
func (x *SavedSliceMeta) GetSlice() []*framework.TensorSliceProto {
if x != nil {
return x.Slice
}
return nil
}
// Metadata describing the set of tensor slices saved in a checkpoint file.
// It is always stored at the beginning of each checkpoint file.
type SavedTensorSliceMeta struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Each SavedSliceMeta describes the slices for one tensor.
Tensor []*SavedSliceMeta `protobuf:"bytes,1,rep,name=tensor,proto3" json:"tensor,omitempty"`
// Compatibility version of this checkpoint. See core/public/version.h
// for version history.
Versions *framework.VersionDef `protobuf:"bytes,2,opt,name=versions,proto3" json:"versions,omitempty"`
}
func (x *SavedTensorSliceMeta) Reset() {
*x = SavedTensorSliceMeta{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SavedTensorSliceMeta) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SavedTensorSliceMeta) ProtoMessage() {}
func (x *SavedTensorSliceMeta) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_util_saved_tensor_slice_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 SavedTensorSliceMeta.ProtoReflect.Descriptor instead.
func (*SavedTensorSliceMeta) Descriptor() ([]byte, []int) {
return file_tensorflow_core_util_saved_tensor_slice_proto_rawDescGZIP(), []int{1}
}
func (x *SavedTensorSliceMeta) GetTensor() []*SavedSliceMeta {
if x != nil {
return x.Tensor
}
return nil
}
func (x *SavedTensorSliceMeta) GetVersions() *framework.VersionDef {
if x != nil {
return x.Versions
}
return nil
}
// Saved tensor slice: it stores the name of the tensors, the slice, and the
// raw data.
type SavedSlice struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Name of the tensor that this slice belongs to. This must be identical to
// the name used to encode the key for this record.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Extent of the slice. Must have one entry for each of the dimension of the
// tensor that this slice belongs to.
Slice *framework.TensorSliceProto `protobuf:"bytes,2,opt,name=slice,proto3" json:"slice,omitempty"`
// The raw data of the slice is stored as a TensorProto. Only raw data are
// stored (we don't fill in fields such as dtype or tensor_shape).
Data *framework.TensorProto `protobuf:"bytes,3,opt,name=data,proto3" json:"data,omitempty"`
}
func (x *SavedSlice) Reset() {
*x = SavedSlice{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SavedSlice) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SavedSlice) ProtoMessage() {}
func (x *SavedSlice) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[2]
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 SavedSlice.ProtoReflect.Descriptor instead.
func (*SavedSlice) Descriptor() ([]byte, []int) {
return file_tensorflow_core_util_saved_tensor_slice_proto_rawDescGZIP(), []int{2}
}
func (x *SavedSlice) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *SavedSlice) GetSlice() *framework.TensorSliceProto {
if x != nil {
return x.Slice
}
return nil
}
func (x *SavedSlice) GetData() *framework.TensorProto {
if x != nil {
return x.Data
}
return nil
}
// Each record in a v3 checkpoint file is a serialized SavedTensorSlices
// message.
type SavedTensorSlices struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// This is only present at the first item of each checkpoint file and serves
// as a table of contents, listing all the tensor slices saved in this file.
Meta *SavedTensorSliceMeta `protobuf:"bytes,1,opt,name=meta,proto3" json:"meta,omitempty"`
// This exists in all but the first item of each checkpoint file.
Data *SavedSlice `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
}
func (x *SavedTensorSlices) Reset() {
*x = SavedTensorSlices{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SavedTensorSlices) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SavedTensorSlices) ProtoMessage() {}
func (x *SavedTensorSlices) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[3]
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 SavedTensorSlices.ProtoReflect.Descriptor instead.
func (*SavedTensorSlices) Descriptor() ([]byte, []int) {
return file_tensorflow_core_util_saved_tensor_slice_proto_rawDescGZIP(), []int{3}
}
func (x *SavedTensorSlices) GetMeta() *SavedTensorSliceMeta {
if x != nil {
return x.Meta
}
return nil
}
func (x *SavedTensorSlices) GetData() *SavedSlice {
if x != nil {
return x.Data
}
return nil
}
var File_tensorflow_core_util_saved_tensor_slice_proto protoreflect.FileDescriptor
var file_tensorflow_core_util_saved_tensor_slice_proto_rawDesc = []byte{
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}
var (
file_tensorflow_core_util_saved_tensor_slice_proto_rawDescOnce sync.Once
file_tensorflow_core_util_saved_tensor_slice_proto_rawDescData = file_tensorflow_core_util_saved_tensor_slice_proto_rawDesc
)
func file_tensorflow_core_util_saved_tensor_slice_proto_rawDescGZIP() []byte {
file_tensorflow_core_util_saved_tensor_slice_proto_rawDescOnce.Do(func() {
file_tensorflow_core_util_saved_tensor_slice_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_util_saved_tensor_slice_proto_rawDescData)
})
return file_tensorflow_core_util_saved_tensor_slice_proto_rawDescData
}
var file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes = make([]protoimpl.MessageInfo, 4)
var file_tensorflow_core_util_saved_tensor_slice_proto_goTypes = []interface{}{
(*SavedSliceMeta)(nil), // 0: tensorflow.SavedSliceMeta
(*SavedTensorSliceMeta)(nil), // 1: tensorflow.SavedTensorSliceMeta
(*SavedSlice)(nil), // 2: tensorflow.SavedSlice
(*SavedTensorSlices)(nil), // 3: tensorflow.SavedTensorSlices
(*framework.TensorShapeProto)(nil), // 4: tensorflow.TensorShapeProto
(framework.DataType)(0), // 5: tensorflow.DataType
(*framework.TensorSliceProto)(nil), // 6: tensorflow.TensorSliceProto
(*framework.VersionDef)(nil), // 7: tensorflow.VersionDef
(*framework.TensorProto)(nil), // 8: tensorflow.TensorProto
}
var file_tensorflow_core_util_saved_tensor_slice_proto_depIdxs = []int32{
4, // 0: tensorflow.SavedSliceMeta.shape:type_name -> tensorflow.TensorShapeProto
5, // 1: tensorflow.SavedSliceMeta.type:type_name -> tensorflow.DataType
6, // 2: tensorflow.SavedSliceMeta.slice:type_name -> tensorflow.TensorSliceProto
0, // 3: tensorflow.SavedTensorSliceMeta.tensor:type_name -> tensorflow.SavedSliceMeta
7, // 4: tensorflow.SavedTensorSliceMeta.versions:type_name -> tensorflow.VersionDef
6, // 5: tensorflow.SavedSlice.slice:type_name -> tensorflow.TensorSliceProto
8, // 6: tensorflow.SavedSlice.data:type_name -> tensorflow.TensorProto
1, // 7: tensorflow.SavedTensorSlices.meta:type_name -> tensorflow.SavedTensorSliceMeta
2, // 8: tensorflow.SavedTensorSlices.data:type_name -> tensorflow.SavedSlice
9, // [9:9] is the sub-list for method output_type
9, // [9:9] is the sub-list for method input_type
9, // [9:9] is the sub-list for extension type_name
9, // [9:9] is the sub-list for extension extendee
0, // [0:9] is the sub-list for field type_name
}
func init() { file_tensorflow_core_util_saved_tensor_slice_proto_init() }
func file_tensorflow_core_util_saved_tensor_slice_proto_init() {
if File_tensorflow_core_util_saved_tensor_slice_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SavedSliceMeta); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SavedTensorSliceMeta); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SavedSlice); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SavedTensorSlices); 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_util_saved_tensor_slice_proto_rawDesc,
NumEnums: 0,
NumMessages: 4,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_util_saved_tensor_slice_proto_goTypes,
DependencyIndexes: file_tensorflow_core_util_saved_tensor_slice_proto_depIdxs,
MessageInfos: file_tensorflow_core_util_saved_tensor_slice_proto_msgTypes,
}.Build()
File_tensorflow_core_util_saved_tensor_slice_proto = out.File
file_tensorflow_core_util_saved_tensor_slice_proto_rawDesc = nil
file_tensorflow_core_util_saved_tensor_slice_proto_goTypes = nil
file_tensorflow_core_util_saved_tensor_slice_proto_depIdxs = nil
}