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saved_model.pb.go
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saved_model.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.27.1
// protoc v3.12.4
// source: tensorflow/core/protobuf/saved_model.proto
package pbs
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)
)
// SavedModel is the high level serialization format for TensorFlow Models.
// See [todo: doc links, similar to session_bundle] for more information.
type SavedModel struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The schema version of the SavedModel instance. Used for versioning when
// making future changes to the specification/implementation. Initial value
// at release will be 1.
SavedModelSchemaVersion int64 `protobuf:"varint,1,opt,name=saved_model_schema_version,json=savedModelSchemaVersion,proto3" json:"saved_model_schema_version,omitempty"`
// One or more MetaGraphs.
MetaGraphs []*MetaGraphDef `protobuf:"bytes,2,rep,name=meta_graphs,json=metaGraphs,proto3" json:"meta_graphs,omitempty"`
}
func (x *SavedModel) Reset() {
*x = SavedModel{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_protobuf_saved_model_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SavedModel) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SavedModel) ProtoMessage() {}
func (x *SavedModel) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_protobuf_saved_model_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 SavedModel.ProtoReflect.Descriptor instead.
func (*SavedModel) Descriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_saved_model_proto_rawDescGZIP(), []int{0}
}
func (x *SavedModel) GetSavedModelSchemaVersion() int64 {
if x != nil {
return x.SavedModelSchemaVersion
}
return 0
}
func (x *SavedModel) GetMetaGraphs() []*MetaGraphDef {
if x != nil {
return x.MetaGraphs
}
return nil
}
var File_tensorflow_core_protobuf_saved_model_proto protoreflect.FileDescriptor
var file_tensorflow_core_protobuf_saved_model_proto_rawDesc = []byte{
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}
var (
file_tensorflow_core_protobuf_saved_model_proto_rawDescOnce sync.Once
file_tensorflow_core_protobuf_saved_model_proto_rawDescData = file_tensorflow_core_protobuf_saved_model_proto_rawDesc
)
func file_tensorflow_core_protobuf_saved_model_proto_rawDescGZIP() []byte {
file_tensorflow_core_protobuf_saved_model_proto_rawDescOnce.Do(func() {
file_tensorflow_core_protobuf_saved_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_protobuf_saved_model_proto_rawDescData)
})
return file_tensorflow_core_protobuf_saved_model_proto_rawDescData
}
var file_tensorflow_core_protobuf_saved_model_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_tensorflow_core_protobuf_saved_model_proto_goTypes = []interface{}{
(*SavedModel)(nil), // 0: tensorflow.SavedModel
(*MetaGraphDef)(nil), // 1: tensorflow.MetaGraphDef
}
var file_tensorflow_core_protobuf_saved_model_proto_depIdxs = []int32{
1, // 0: tensorflow.SavedModel.meta_graphs:type_name -> tensorflow.MetaGraphDef
1, // [1:1] is the sub-list for method output_type
1, // [1:1] is the sub-list for method input_type
1, // [1:1] is the sub-list for extension type_name
1, // [1:1] is the sub-list for extension extendee
0, // [0:1] is the sub-list for field type_name
}
func init() { file_tensorflow_core_protobuf_saved_model_proto_init() }
func file_tensorflow_core_protobuf_saved_model_proto_init() {
if File_tensorflow_core_protobuf_saved_model_proto != nil {
return
}
file_tensorflow_core_protobuf_meta_graph_proto_init()
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_protobuf_saved_model_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SavedModel); 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_saved_model_proto_rawDesc,
NumEnums: 0,
NumMessages: 1,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_protobuf_saved_model_proto_goTypes,
DependencyIndexes: file_tensorflow_core_protobuf_saved_model_proto_depIdxs,
MessageInfos: file_tensorflow_core_protobuf_saved_model_proto_msgTypes,
}.Build()
File_tensorflow_core_protobuf_saved_model_proto = out.File
file_tensorflow_core_protobuf_saved_model_proto_rawDesc = nil
file_tensorflow_core_protobuf_saved_model_proto_goTypes = nil
file_tensorflow_core_protobuf_saved_model_proto_depIdxs = nil
}