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summary.pb.go
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summary.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.28.0
// protoc v3.19.4
// source: tensorflow/core/framework/summary.proto
package summary_go_proto
import (
tensor_go_proto "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/tensor_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)
)
type DataClass int32
const (
// Unknown data class, used (implicitly) for legacy data. Will not be
// processed by data ingestion pipelines.
DataClass_DATA_CLASS_UNKNOWN DataClass = 0
// Scalar time series. Each `Value` for the corresponding tag must have
// `tensor` set to a rank-0 tensor of type `DT_FLOAT` (float32).
DataClass_DATA_CLASS_SCALAR DataClass = 1
// Tensor time series. Each `Value` for the corresponding tag must have
// `tensor` set. The tensor value is arbitrary, but should be small to
// accommodate direct storage in database backends: an upper bound of a few
// kilobytes is a reasonable rule of thumb.
DataClass_DATA_CLASS_TENSOR DataClass = 2
// Blob sequence time series. Each `Value` for the corresponding tag must
// have `tensor` set to a rank-1 tensor of bytestring dtype.
DataClass_DATA_CLASS_BLOB_SEQUENCE DataClass = 3
)
// Enum value maps for DataClass.
var (
DataClass_name = map[int32]string{
0: "DATA_CLASS_UNKNOWN",
1: "DATA_CLASS_SCALAR",
2: "DATA_CLASS_TENSOR",
3: "DATA_CLASS_BLOB_SEQUENCE",
}
DataClass_value = map[string]int32{
"DATA_CLASS_UNKNOWN": 0,
"DATA_CLASS_SCALAR": 1,
"DATA_CLASS_TENSOR": 2,
"DATA_CLASS_BLOB_SEQUENCE": 3,
}
)
func (x DataClass) Enum() *DataClass {
p := new(DataClass)
*p = x
return p
}
func (x DataClass) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (DataClass) Descriptor() protoreflect.EnumDescriptor {
return file_tensorflow_core_framework_summary_proto_enumTypes[0].Descriptor()
}
func (DataClass) Type() protoreflect.EnumType {
return &file_tensorflow_core_framework_summary_proto_enumTypes[0]
}
func (x DataClass) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use DataClass.Descriptor instead.
func (DataClass) EnumDescriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{0}
}
// Metadata associated with a series of Summary data
type SummaryDescription struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Hint on how plugins should process the data in this series.
// Supported values include "scalar", "histogram", "image", "audio"
TypeHint string `protobuf:"bytes,1,opt,name=type_hint,json=typeHint,proto3" json:"type_hint,omitempty"`
}
func (x *SummaryDescription) Reset() {
*x = SummaryDescription{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SummaryDescription) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SummaryDescription) ProtoMessage() {}
func (x *SummaryDescription) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_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 SummaryDescription.ProtoReflect.Descriptor instead.
func (*SummaryDescription) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{0}
}
func (x *SummaryDescription) GetTypeHint() string {
if x != nil {
return x.TypeHint
}
return ""
}
// Serialization format for histogram module in
// core/lib/histogram/histogram.h
type HistogramProto struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Min float64 `protobuf:"fixed64,1,opt,name=min,proto3" json:"min,omitempty"`
Max float64 `protobuf:"fixed64,2,opt,name=max,proto3" json:"max,omitempty"`
Num float64 `protobuf:"fixed64,3,opt,name=num,proto3" json:"num,omitempty"`
Sum float64 `protobuf:"fixed64,4,opt,name=sum,proto3" json:"sum,omitempty"`
SumSquares float64 `protobuf:"fixed64,5,opt,name=sum_squares,json=sumSquares,proto3" json:"sum_squares,omitempty"`
// Parallel arrays encoding the bucket boundaries and the bucket values.
// bucket(i) is the count for the bucket i. The range for
// a bucket is:
// i == 0: -DBL_MAX .. bucket_limit(0)
// i != 0: bucket_limit(i-1) .. bucket_limit(i)
BucketLimit []float64 `protobuf:"fixed64,6,rep,packed,name=bucket_limit,json=bucketLimit,proto3" json:"bucket_limit,omitempty"`
Bucket []float64 `protobuf:"fixed64,7,rep,packed,name=bucket,proto3" json:"bucket,omitempty"`
}
func (x *HistogramProto) Reset() {
*x = HistogramProto{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *HistogramProto) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*HistogramProto) ProtoMessage() {}
func (x *HistogramProto) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_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 HistogramProto.ProtoReflect.Descriptor instead.
func (*HistogramProto) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{1}
}
func (x *HistogramProto) GetMin() float64 {
if x != nil {
return x.Min
}
return 0
}
func (x *HistogramProto) GetMax() float64 {
if x != nil {
return x.Max
}
return 0
}
func (x *HistogramProto) GetNum() float64 {
if x != nil {
return x.Num
}
return 0
}
func (x *HistogramProto) GetSum() float64 {
if x != nil {
return x.Sum
}
return 0
}
func (x *HistogramProto) GetSumSquares() float64 {
if x != nil {
return x.SumSquares
}
return 0
}
func (x *HistogramProto) GetBucketLimit() []float64 {
if x != nil {
return x.BucketLimit
}
return nil
}
func (x *HistogramProto) GetBucket() []float64 {
if x != nil {
return x.Bucket
}
return nil
}
// A SummaryMetadata encapsulates information on which plugins are able to make
// use of a certain summary value.
type SummaryMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Data that associates a summary with a certain plugin.
PluginData *SummaryMetadata_PluginData `protobuf:"bytes,1,opt,name=plugin_data,json=pluginData,proto3" json:"plugin_data,omitempty"`
// Display name for viewing in TensorBoard.
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Longform readable description of the summary sequence. Markdown supported.
SummaryDescription string `protobuf:"bytes,3,opt,name=summary_description,json=summaryDescription,proto3" json:"summary_description,omitempty"`
// Class of data stored in this time series. Required for compatibility with
// TensorBoard's generic data facilities (`DataProvider`, et al.). This value
// imposes constraints on the dtype and shape of the corresponding tensor
// values. See `DataClass` docs for details.
DataClass DataClass `protobuf:"varint,4,opt,name=data_class,json=dataClass,proto3,enum=tensorflow.DataClass" json:"data_class,omitempty"`
}
func (x *SummaryMetadata) Reset() {
*x = SummaryMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SummaryMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SummaryMetadata) ProtoMessage() {}
func (x *SummaryMetadata) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_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 SummaryMetadata.ProtoReflect.Descriptor instead.
func (*SummaryMetadata) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{2}
}
func (x *SummaryMetadata) GetPluginData() *SummaryMetadata_PluginData {
if x != nil {
return x.PluginData
}
return nil
}
func (x *SummaryMetadata) GetDisplayName() string {
if x != nil {
return x.DisplayName
}
return ""
}
func (x *SummaryMetadata) GetSummaryDescription() string {
if x != nil {
return x.SummaryDescription
}
return ""
}
func (x *SummaryMetadata) GetDataClass() DataClass {
if x != nil {
return x.DataClass
}
return DataClass_DATA_CLASS_UNKNOWN
}
// A Summary is a set of named values to be displayed by the
// visualizer.
//
// Summaries are produced regularly during training, as controlled by
// the "summary_interval_secs" attribute of the training operation.
// Summaries are also produced at the end of an evaluation.
type Summary struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Set of values for the summary.
Value []*Summary_Value `protobuf:"bytes,1,rep,name=value,proto3" json:"value,omitempty"`
}
func (x *Summary) Reset() {
*x = Summary{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Summary) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Summary) ProtoMessage() {}
func (x *Summary) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_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 Summary.ProtoReflect.Descriptor instead.
func (*Summary) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{3}
}
func (x *Summary) GetValue() []*Summary_Value {
if x != nil {
return x.Value
}
return nil
}
type SummaryMetadata_PluginData struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The name of the plugin this data pertains to.
PluginName string `protobuf:"bytes,1,opt,name=plugin_name,json=pluginName,proto3" json:"plugin_name,omitempty"`
// The content to store for the plugin. The best practice is for this to be
// a binary serialized protocol buffer.
Content []byte `protobuf:"bytes,2,opt,name=content,proto3" json:"content,omitempty"`
}
func (x *SummaryMetadata_PluginData) Reset() {
*x = SummaryMetadata_PluginData{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SummaryMetadata_PluginData) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SummaryMetadata_PluginData) ProtoMessage() {}
func (x *SummaryMetadata_PluginData) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[4]
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 SummaryMetadata_PluginData.ProtoReflect.Descriptor instead.
func (*SummaryMetadata_PluginData) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{2, 0}
}
func (x *SummaryMetadata_PluginData) GetPluginName() string {
if x != nil {
return x.PluginName
}
return ""
}
func (x *SummaryMetadata_PluginData) GetContent() []byte {
if x != nil {
return x.Content
}
return nil
}
type Summary_Image struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Dimensions of the image.
Height int32 `protobuf:"varint,1,opt,name=height,proto3" json:"height,omitempty"`
Width int32 `protobuf:"varint,2,opt,name=width,proto3" json:"width,omitempty"`
// Valid colorspace values are
// 1 - grayscale
// 2 - grayscale + alpha
// 3 - RGB
// 4 - RGBA
// 5 - DIGITAL_YUV
// 6 - BGRA
Colorspace int32 `protobuf:"varint,3,opt,name=colorspace,proto3" json:"colorspace,omitempty"`
// Image data in encoded format. All image formats supported by
// image_codec::CoderUtil can be stored here.
EncodedImageString []byte `protobuf:"bytes,4,opt,name=encoded_image_string,json=encodedImageString,proto3" json:"encoded_image_string,omitempty"`
}
func (x *Summary_Image) Reset() {
*x = Summary_Image{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Summary_Image) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Summary_Image) ProtoMessage() {}
func (x *Summary_Image) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[5]
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 Summary_Image.ProtoReflect.Descriptor instead.
func (*Summary_Image) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{3, 0}
}
func (x *Summary_Image) GetHeight() int32 {
if x != nil {
return x.Height
}
return 0
}
func (x *Summary_Image) GetWidth() int32 {
if x != nil {
return x.Width
}
return 0
}
func (x *Summary_Image) GetColorspace() int32 {
if x != nil {
return x.Colorspace
}
return 0
}
func (x *Summary_Image) GetEncodedImageString() []byte {
if x != nil {
return x.EncodedImageString
}
return nil
}
type Summary_Audio struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Sample rate of the audio in Hz.
SampleRate float32 `protobuf:"fixed32,1,opt,name=sample_rate,json=sampleRate,proto3" json:"sample_rate,omitempty"`
// Number of channels of audio.
NumChannels int64 `protobuf:"varint,2,opt,name=num_channels,json=numChannels,proto3" json:"num_channels,omitempty"`
// Length of the audio in frames (samples per channel).
LengthFrames int64 `protobuf:"varint,3,opt,name=length_frames,json=lengthFrames,proto3" json:"length_frames,omitempty"`
// Encoded audio data and its associated RFC 2045 content type (e.g.
// "audio/wav").
EncodedAudioString []byte `protobuf:"bytes,4,opt,name=encoded_audio_string,json=encodedAudioString,proto3" json:"encoded_audio_string,omitempty"`
ContentType string `protobuf:"bytes,5,opt,name=content_type,json=contentType,proto3" json:"content_type,omitempty"`
}
func (x *Summary_Audio) Reset() {
*x = Summary_Audio{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[6]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Summary_Audio) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Summary_Audio) ProtoMessage() {}
func (x *Summary_Audio) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[6]
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 Summary_Audio.ProtoReflect.Descriptor instead.
func (*Summary_Audio) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{3, 1}
}
func (x *Summary_Audio) GetSampleRate() float32 {
if x != nil {
return x.SampleRate
}
return 0
}
func (x *Summary_Audio) GetNumChannels() int64 {
if x != nil {
return x.NumChannels
}
return 0
}
func (x *Summary_Audio) GetLengthFrames() int64 {
if x != nil {
return x.LengthFrames
}
return 0
}
func (x *Summary_Audio) GetEncodedAudioString() []byte {
if x != nil {
return x.EncodedAudioString
}
return nil
}
func (x *Summary_Audio) GetContentType() string {
if x != nil {
return x.ContentType
}
return ""
}
type Summary_Value struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// This field is deprecated and will not be set.
NodeName string `protobuf:"bytes,7,opt,name=node_name,json=nodeName,proto3" json:"node_name,omitempty"`
// Tag name for the data. Used by TensorBoard plugins to organize data. Tags
// are often organized by scope (which contains slashes to convey
// hierarchy). For example: foo/bar/0
Tag string `protobuf:"bytes,1,opt,name=tag,proto3" json:"tag,omitempty"`
// Contains metadata on the summary value such as which plugins may use it.
// Take note that many summary values may lack a metadata field. This is
// because the FileWriter only keeps a metadata object on the first summary
// value with a certain tag for each tag. TensorBoard then remembers which
// tags are associated with which plugins. This saves space.
Metadata *SummaryMetadata `protobuf:"bytes,9,opt,name=metadata,proto3" json:"metadata,omitempty"`
// Value associated with the tag.
//
// Types that are assignable to Value:
// *Summary_Value_SimpleValue
// *Summary_Value_ObsoleteOldStyleHistogram
// *Summary_Value_Image
// *Summary_Value_Histo
// *Summary_Value_Audio
// *Summary_Value_Tensor
Value isSummary_Value_Value `protobuf_oneof:"value"`
}
func (x *Summary_Value) Reset() {
*x = Summary_Value{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[7]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Summary_Value) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Summary_Value) ProtoMessage() {}
func (x *Summary_Value) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_summary_proto_msgTypes[7]
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 Summary_Value.ProtoReflect.Descriptor instead.
func (*Summary_Value) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_summary_proto_rawDescGZIP(), []int{3, 2}
}
func (x *Summary_Value) GetNodeName() string {
if x != nil {
return x.NodeName
}
return ""
}
func (x *Summary_Value) GetTag() string {
if x != nil {
return x.Tag
}
return ""
}
func (x *Summary_Value) GetMetadata() *SummaryMetadata {
if x != nil {
return x.Metadata
}
return nil
}
func (m *Summary_Value) GetValue() isSummary_Value_Value {
if m != nil {
return m.Value
}
return nil
}
func (x *Summary_Value) GetSimpleValue() float32 {
if x, ok := x.GetValue().(*Summary_Value_SimpleValue); ok {
return x.SimpleValue
}
return 0
}
func (x *Summary_Value) GetObsoleteOldStyleHistogram() []byte {
if x, ok := x.GetValue().(*Summary_Value_ObsoleteOldStyleHistogram); ok {
return x.ObsoleteOldStyleHistogram
}
return nil
}
func (x *Summary_Value) GetImage() *Summary_Image {
if x, ok := x.GetValue().(*Summary_Value_Image); ok {
return x.Image
}
return nil
}
func (x *Summary_Value) GetHisto() *HistogramProto {
if x, ok := x.GetValue().(*Summary_Value_Histo); ok {
return x.Histo
}
return nil
}
func (x *Summary_Value) GetAudio() *Summary_Audio {
if x, ok := x.GetValue().(*Summary_Value_Audio); ok {
return x.Audio
}
return nil
}
func (x *Summary_Value) GetTensor() *tensor_go_proto.TensorProto {
if x, ok := x.GetValue().(*Summary_Value_Tensor); ok {
return x.Tensor
}
return nil
}
type isSummary_Value_Value interface {
isSummary_Value_Value()
}
type Summary_Value_SimpleValue struct {
SimpleValue float32 `protobuf:"fixed32,2,opt,name=simple_value,json=simpleValue,proto3,oneof"`
}
type Summary_Value_ObsoleteOldStyleHistogram struct {
ObsoleteOldStyleHistogram []byte `protobuf:"bytes,3,opt,name=obsolete_old_style_histogram,json=obsoleteOldStyleHistogram,proto3,oneof"`
}
type Summary_Value_Image struct {
Image *Summary_Image `protobuf:"bytes,4,opt,name=image,proto3,oneof"`
}
type Summary_Value_Histo struct {
Histo *HistogramProto `protobuf:"bytes,5,opt,name=histo,proto3,oneof"`
}
type Summary_Value_Audio struct {
Audio *Summary_Audio `protobuf:"bytes,6,opt,name=audio,proto3,oneof"`
}
type Summary_Value_Tensor struct {
Tensor *tensor_go_proto.TensorProto `protobuf:"bytes,8,opt,name=tensor,proto3,oneof"`
}
func (*Summary_Value_SimpleValue) isSummary_Value_Value() {}
func (*Summary_Value_ObsoleteOldStyleHistogram) isSummary_Value_Value() {}
func (*Summary_Value_Image) isSummary_Value_Value() {}
func (*Summary_Value_Histo) isSummary_Value_Value() {}
func (*Summary_Value_Audio) isSummary_Value_Value() {}
func (*Summary_Value_Tensor) isSummary_Value_Value() {}
var File_tensorflow_core_framework_summary_proto protoreflect.FileDescriptor
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}
var (
file_tensorflow_core_framework_summary_proto_rawDescOnce sync.Once
file_tensorflow_core_framework_summary_proto_rawDescData = file_tensorflow_core_framework_summary_proto_rawDesc
)
func file_tensorflow_core_framework_summary_proto_rawDescGZIP() []byte {
file_tensorflow_core_framework_summary_proto_rawDescOnce.Do(func() {
file_tensorflow_core_framework_summary_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_framework_summary_proto_rawDescData)
})
return file_tensorflow_core_framework_summary_proto_rawDescData
}
var file_tensorflow_core_framework_summary_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_tensorflow_core_framework_summary_proto_msgTypes = make([]protoimpl.MessageInfo, 8)
var file_tensorflow_core_framework_summary_proto_goTypes = []interface{}{
(DataClass)(0), // 0: tensorflow.DataClass
(*SummaryDescription)(nil), // 1: tensorflow.SummaryDescription
(*HistogramProto)(nil), // 2: tensorflow.HistogramProto
(*SummaryMetadata)(nil), // 3: tensorflow.SummaryMetadata
(*Summary)(nil), // 4: tensorflow.Summary
(*SummaryMetadata_PluginData)(nil), // 5: tensorflow.SummaryMetadata.PluginData
(*Summary_Image)(nil), // 6: tensorflow.Summary.Image
(*Summary_Audio)(nil), // 7: tensorflow.Summary.Audio
(*Summary_Value)(nil), // 8: tensorflow.Summary.Value
(*tensor_go_proto.TensorProto)(nil), // 9: tensorflow.TensorProto
}
var file_tensorflow_core_framework_summary_proto_depIdxs = []int32{
5, // 0: tensorflow.SummaryMetadata.plugin_data:type_name -> tensorflow.SummaryMetadata.PluginData
0, // 1: tensorflow.SummaryMetadata.data_class:type_name -> tensorflow.DataClass
8, // 2: tensorflow.Summary.value:type_name -> tensorflow.Summary.Value
3, // 3: tensorflow.Summary.Value.metadata:type_name -> tensorflow.SummaryMetadata
6, // 4: tensorflow.Summary.Value.image:type_name -> tensorflow.Summary.Image
2, // 5: tensorflow.Summary.Value.histo:type_name -> tensorflow.HistogramProto
7, // 6: tensorflow.Summary.Value.audio:type_name -> tensorflow.Summary.Audio
9, // 7: tensorflow.Summary.Value.tensor:type_name -> tensorflow.TensorProto
8, // [8:8] is the sub-list for method output_type
8, // [8:8] is the sub-list for method input_type
8, // [8:8] is the sub-list for extension type_name
8, // [8:8] is the sub-list for extension extendee
0, // [0:8] is the sub-list for field type_name
}
func init() { file_tensorflow_core_framework_summary_proto_init() }
func file_tensorflow_core_framework_summary_proto_init() {
if File_tensorflow_core_framework_summary_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_framework_summary_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SummaryDescription); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_summary_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*HistogramProto); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_summary_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SummaryMetadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_summary_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Summary); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_summary_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SummaryMetadata_PluginData); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_summary_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Summary_Image); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_summary_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Summary_Audio); i {