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tensor_bundle.pb.go
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tensor_bundle.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.28.1
// protoc v3.21.7
// source: tensorflow/core/protobuf/tensor_bundle.proto
package for_core_protos_go_proto
import (
tensor_shape_go_proto "github.com/galeone/tensorflow/tensorflow/go/core/framework/tensor_shape_go_proto"
tensor_slice_go_proto "github.com/galeone/tensorflow/tensorflow/go/core/framework/tensor_slice_go_proto"
types_go_proto "github.com/galeone/tensorflow/tensorflow/go/core/framework/types_go_proto"
versions_go_proto "github.com/galeone/tensorflow/tensorflow/go/core/framework/versions_go_proto"
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)
)
// An enum indicating the endianness of the platform that produced this
// bundle. A bundle can only be read by a platform with matching endianness.
// Defaults to LITTLE, as most modern platforms are little-endian.
//
// Affects the binary tensor data bytes only, not the metadata in protobufs.
type BundleHeaderProto_Endianness int32
const (
BundleHeaderProto_LITTLE BundleHeaderProto_Endianness = 0
BundleHeaderProto_BIG BundleHeaderProto_Endianness = 1
)
// Enum value maps for BundleHeaderProto_Endianness.
var (
BundleHeaderProto_Endianness_name = map[int32]string{
0: "LITTLE",
1: "BIG",
}
BundleHeaderProto_Endianness_value = map[string]int32{
"LITTLE": 0,
"BIG": 1,
}
)
func (x BundleHeaderProto_Endianness) Enum() *BundleHeaderProto_Endianness {
p := new(BundleHeaderProto_Endianness)
*p = x
return p
}
func (x BundleHeaderProto_Endianness) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (BundleHeaderProto_Endianness) Descriptor() protoreflect.EnumDescriptor {
return file_tensorflow_core_protobuf_tensor_bundle_proto_enumTypes[0].Descriptor()
}
func (BundleHeaderProto_Endianness) Type() protoreflect.EnumType {
return &file_tensorflow_core_protobuf_tensor_bundle_proto_enumTypes[0]
}
func (x BundleHeaderProto_Endianness) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use BundleHeaderProto_Endianness.Descriptor instead.
func (BundleHeaderProto_Endianness) EnumDescriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescGZIP(), []int{0, 0}
}
// Special header that is associated with a bundle.
//
// TODO(zongheng,zhifengc): maybe in the future, we can add information about
// which binary produced this checkpoint, timestamp, etc. Sometime, these can be
// valuable debugging information. And if needed, these can be used as defensive
// information ensuring reader (binary version) of the checkpoint and the writer
// (binary version) must match within certain range, etc.
type BundleHeaderProto struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Number of data files in the bundle.
NumShards int32 `protobuf:"varint,1,opt,name=num_shards,json=numShards,proto3" json:"num_shards,omitempty"`
Endianness BundleHeaderProto_Endianness `protobuf:"varint,2,opt,name=endianness,proto3,enum=tensorflow.BundleHeaderProto_Endianness" json:"endianness,omitempty"`
// Versioning of the tensor bundle format.
Version *versions_go_proto.VersionDef `protobuf:"bytes,3,opt,name=version,proto3" json:"version,omitempty"`
}
func (x *BundleHeaderProto) Reset() {
*x = BundleHeaderProto{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_protobuf_tensor_bundle_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BundleHeaderProto) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BundleHeaderProto) ProtoMessage() {}
func (x *BundleHeaderProto) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_protobuf_tensor_bundle_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 BundleHeaderProto.ProtoReflect.Descriptor instead.
func (*BundleHeaderProto) Descriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescGZIP(), []int{0}
}
func (x *BundleHeaderProto) GetNumShards() int32 {
if x != nil {
return x.NumShards
}
return 0
}
func (x *BundleHeaderProto) GetEndianness() BundleHeaderProto_Endianness {
if x != nil {
return x.Endianness
}
return BundleHeaderProto_LITTLE
}
func (x *BundleHeaderProto) GetVersion() *versions_go_proto.VersionDef {
if x != nil {
return x.Version
}
return nil
}
// Describes the metadata related to a checkpointed tensor.
type BundleEntryProto struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The tensor dtype and shape.
Dtype types_go_proto.DataType `protobuf:"varint,1,opt,name=dtype,proto3,enum=tensorflow.DataType" json:"dtype,omitempty"`
Shape *tensor_shape_go_proto.TensorShapeProto `protobuf:"bytes,2,opt,name=shape,proto3" json:"shape,omitempty"`
// The binary content of the tensor lies in:
//
// File "shard_id": bytes [offset, offset + size).
ShardId int32 `protobuf:"varint,3,opt,name=shard_id,json=shardId,proto3" json:"shard_id,omitempty"`
Offset int64 `protobuf:"varint,4,opt,name=offset,proto3" json:"offset,omitempty"`
Size int64 `protobuf:"varint,5,opt,name=size,proto3" json:"size,omitempty"`
// The CRC32C checksum of the tensor bytes.
Crc32C uint32 `protobuf:"fixed32,6,opt,name=crc32c,proto3" json:"crc32c,omitempty"`
// Iff present, this entry represents a partitioned tensor. The previous
// fields are interpreted as follows:
//
// "dtype", "shape": describe the full tensor.
// "shard_id", "offset", "size", "crc32c": all IGNORED.
// These information for each slice can be looked up in their own
// BundleEntryProto, keyed by each "slice_name".
Slices []*tensor_slice_go_proto.TensorSliceProto `protobuf:"bytes,7,rep,name=slices,proto3" json:"slices,omitempty"`
}
func (x *BundleEntryProto) Reset() {
*x = BundleEntryProto{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_protobuf_tensor_bundle_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *BundleEntryProto) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*BundleEntryProto) ProtoMessage() {}
func (x *BundleEntryProto) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_protobuf_tensor_bundle_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 BundleEntryProto.ProtoReflect.Descriptor instead.
func (*BundleEntryProto) Descriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescGZIP(), []int{1}
}
func (x *BundleEntryProto) GetDtype() types_go_proto.DataType {
if x != nil {
return x.Dtype
}
return types_go_proto.DataType(0)
}
func (x *BundleEntryProto) GetShape() *tensor_shape_go_proto.TensorShapeProto {
if x != nil {
return x.Shape
}
return nil
}
func (x *BundleEntryProto) GetShardId() int32 {
if x != nil {
return x.ShardId
}
return 0
}
func (x *BundleEntryProto) GetOffset() int64 {
if x != nil {
return x.Offset
}
return 0
}
func (x *BundleEntryProto) GetSize() int64 {
if x != nil {
return x.Size
}
return 0
}
func (x *BundleEntryProto) GetCrc32C() uint32 {
if x != nil {
return x.Crc32C
}
return 0
}
func (x *BundleEntryProto) GetSlices() []*tensor_slice_go_proto.TensorSliceProto {
if x != nil {
return x.Slices
}
return nil
}
var File_tensorflow_core_protobuf_tensor_bundle_proto protoreflect.FileDescriptor
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var (
file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescOnce sync.Once
file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescData = file_tensorflow_core_protobuf_tensor_bundle_proto_rawDesc
)
func file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescGZIP() []byte {
file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescOnce.Do(func() {
file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescData)
})
return file_tensorflow_core_protobuf_tensor_bundle_proto_rawDescData
}
var file_tensorflow_core_protobuf_tensor_bundle_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_tensorflow_core_protobuf_tensor_bundle_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_tensorflow_core_protobuf_tensor_bundle_proto_goTypes = []interface{}{
(BundleHeaderProto_Endianness)(0), // 0: tensorflow.BundleHeaderProto.Endianness
(*BundleHeaderProto)(nil), // 1: tensorflow.BundleHeaderProto
(*BundleEntryProto)(nil), // 2: tensorflow.BundleEntryProto
(*versions_go_proto.VersionDef)(nil), // 3: tensorflow.VersionDef
(types_go_proto.DataType)(0), // 4: tensorflow.DataType
(*tensor_shape_go_proto.TensorShapeProto)(nil), // 5: tensorflow.TensorShapeProto
(*tensor_slice_go_proto.TensorSliceProto)(nil), // 6: tensorflow.TensorSliceProto
}
var file_tensorflow_core_protobuf_tensor_bundle_proto_depIdxs = []int32{
0, // 0: tensorflow.BundleHeaderProto.endianness:type_name -> tensorflow.BundleHeaderProto.Endianness
3, // 1: tensorflow.BundleHeaderProto.version:type_name -> tensorflow.VersionDef
4, // 2: tensorflow.BundleEntryProto.dtype:type_name -> tensorflow.DataType
5, // 3: tensorflow.BundleEntryProto.shape:type_name -> tensorflow.TensorShapeProto
6, // 4: tensorflow.BundleEntryProto.slices:type_name -> tensorflow.TensorSliceProto
5, // [5:5] is the sub-list for method output_type
5, // [5:5] is the sub-list for method input_type
5, // [5:5] is the sub-list for extension type_name
5, // [5:5] is the sub-list for extension extendee
0, // [0:5] is the sub-list for field type_name
}
func init() { file_tensorflow_core_protobuf_tensor_bundle_proto_init() }
func file_tensorflow_core_protobuf_tensor_bundle_proto_init() {
if File_tensorflow_core_protobuf_tensor_bundle_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_protobuf_tensor_bundle_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BundleHeaderProto); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_protobuf_tensor_bundle_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*BundleEntryProto); 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_protobuf_tensor_bundle_proto_rawDesc,
NumEnums: 1,
NumMessages: 2,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_protobuf_tensor_bundle_proto_goTypes,
DependencyIndexes: file_tensorflow_core_protobuf_tensor_bundle_proto_depIdxs,
EnumInfos: file_tensorflow_core_protobuf_tensor_bundle_proto_enumTypes,
MessageInfos: file_tensorflow_core_protobuf_tensor_bundle_proto_msgTypes,
}.Build()
File_tensorflow_core_protobuf_tensor_bundle_proto = out.File
file_tensorflow_core_protobuf_tensor_bundle_proto_rawDesc = nil
file_tensorflow_core_protobuf_tensor_bundle_proto_goTypes = nil
file_tensorflow_core_protobuf_tensor_bundle_proto_depIdxs = nil
}