/
projector_config.pb.go
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/
projector_config.pb.go
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// Copyright 2020 The TensorFlow Authors. All Rights Reserved.
//
//Licensed under the Apache License, Version 2.0 (the "License");
//you may not use this file except in compliance with the License.
//You may obtain a copy of the License at
//
//http://www.apache.org/licenses/LICENSE-2.0
//
//Unless required by applicable law or agreed to in writing, software
//distributed under the License is distributed on an "AS IS" BASIS,
//WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
//See the License for the specific language governing permissions and
//limitations under the License.
//==============================================================================
// This file is a copy of the TensorBoard ProjectorConfig proto.
// Keep this file in sync with the source proto definition at
// https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/projector/projector_config.proto
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow/python/keras/protobuf/projector_config.proto
package protobuf
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)
)
type SpriteMetadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
ImagePath string `protobuf:"bytes,1,opt,name=image_path,json=imagePath,proto3" json:"image_path,omitempty"`
// [width, height] of a single image in the sprite.
SingleImageDim []uint32 `protobuf:"varint,2,rep,packed,name=single_image_dim,json=singleImageDim,proto3" json:"single_image_dim,omitempty"`
}
func (x *SpriteMetadata) Reset() {
*x = SpriteMetadata{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_python_keras_protobuf_projector_config_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SpriteMetadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SpriteMetadata) ProtoMessage() {}
func (x *SpriteMetadata) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_python_keras_protobuf_projector_config_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 SpriteMetadata.ProtoReflect.Descriptor instead.
func (*SpriteMetadata) Descriptor() ([]byte, []int) {
return file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescGZIP(), []int{0}
}
func (x *SpriteMetadata) GetImagePath() string {
if x != nil {
return x.ImagePath
}
return ""
}
func (x *SpriteMetadata) GetSingleImageDim() []uint32 {
if x != nil {
return x.SingleImageDim
}
return nil
}
type EmbeddingInfo struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
TensorName string `protobuf:"bytes,1,opt,name=tensor_name,json=tensorName,proto3" json:"tensor_name,omitempty"`
MetadataPath string `protobuf:"bytes,2,opt,name=metadata_path,json=metadataPath,proto3" json:"metadata_path,omitempty"`
BookmarksPath string `protobuf:"bytes,3,opt,name=bookmarks_path,json=bookmarksPath,proto3" json:"bookmarks_path,omitempty"`
// Shape of the 2D tensor [N x D]. If missing, it will be inferred from the
// model checkpoint.
TensorShape []uint32 `protobuf:"varint,4,rep,packed,name=tensor_shape,json=tensorShape,proto3" json:"tensor_shape,omitempty"`
Sprite *SpriteMetadata `protobuf:"bytes,5,opt,name=sprite,proto3" json:"sprite,omitempty"`
// Path to the TSV file holding the tensor values. If missing, the tensor
// is assumed to be stored in the model checkpoint.
TensorPath string `protobuf:"bytes,6,opt,name=tensor_path,json=tensorPath,proto3" json:"tensor_path,omitempty"`
}
func (x *EmbeddingInfo) Reset() {
*x = EmbeddingInfo{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_python_keras_protobuf_projector_config_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *EmbeddingInfo) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*EmbeddingInfo) ProtoMessage() {}
func (x *EmbeddingInfo) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_python_keras_protobuf_projector_config_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 EmbeddingInfo.ProtoReflect.Descriptor instead.
func (*EmbeddingInfo) Descriptor() ([]byte, []int) {
return file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescGZIP(), []int{1}
}
func (x *EmbeddingInfo) GetTensorName() string {
if x != nil {
return x.TensorName
}
return ""
}
func (x *EmbeddingInfo) GetMetadataPath() string {
if x != nil {
return x.MetadataPath
}
return ""
}
func (x *EmbeddingInfo) GetBookmarksPath() string {
if x != nil {
return x.BookmarksPath
}
return ""
}
func (x *EmbeddingInfo) GetTensorShape() []uint32 {
if x != nil {
return x.TensorShape
}
return nil
}
func (x *EmbeddingInfo) GetSprite() *SpriteMetadata {
if x != nil {
return x.Sprite
}
return nil
}
func (x *EmbeddingInfo) GetTensorPath() string {
if x != nil {
return x.TensorPath
}
return ""
}
type ProjectorConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Path to the checkpoint file. Use either this or model_checkpoint_dir.
ModelCheckpointPath string `protobuf:"bytes,1,opt,name=model_checkpoint_path,json=modelCheckpointPath,proto3" json:"model_checkpoint_path,omitempty"`
Embeddings []*EmbeddingInfo `protobuf:"bytes,2,rep,name=embeddings,proto3" json:"embeddings,omitempty"`
// Path to the checkpoint directory. The directory will be scanned for the
// latest checkpoint file.
ModelCheckpointDir string `protobuf:"bytes,3,opt,name=model_checkpoint_dir,json=modelCheckpointDir,proto3" json:"model_checkpoint_dir,omitempty"`
}
func (x *ProjectorConfig) Reset() {
*x = ProjectorConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_python_keras_protobuf_projector_config_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ProjectorConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ProjectorConfig) ProtoMessage() {}
func (x *ProjectorConfig) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_python_keras_protobuf_projector_config_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 ProjectorConfig.ProtoReflect.Descriptor instead.
func (*ProjectorConfig) Descriptor() ([]byte, []int) {
return file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescGZIP(), []int{2}
}
func (x *ProjectorConfig) GetModelCheckpointPath() string {
if x != nil {
return x.ModelCheckpointPath
}
return ""
}
func (x *ProjectorConfig) GetEmbeddings() []*EmbeddingInfo {
if x != nil {
return x.Embeddings
}
return nil
}
func (x *ProjectorConfig) GetModelCheckpointDir() string {
if x != nil {
return x.ModelCheckpointDir
}
return ""
}
var File_tensorflow_python_keras_protobuf_projector_config_proto protoreflect.FileDescriptor
var file_tensorflow_python_keras_protobuf_projector_config_proto_rawDesc = []byte{
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func file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescGZIP() []byte {
file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescOnce.Do(func() {
file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescData)
})
return file_tensorflow_python_keras_protobuf_projector_config_proto_rawDescData
}
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var file_tensorflow_python_keras_protobuf_projector_config_proto_goTypes = []interface{}{
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(*EmbeddingInfo)(nil), // 1: third_party.tensorflow.python.keras.protobuf.EmbeddingInfo
(*ProjectorConfig)(nil), // 2: third_party.tensorflow.python.keras.protobuf.ProjectorConfig
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2, // [2:2] is the sub-list for method output_type
2, // [2:2] is the sub-list for method input_type
2, // [2:2] is the sub-list for extension type_name
2, // [2:2] is the sub-list for extension extendee
0, // [0:2] is the sub-list for field type_name
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func file_tensorflow_python_keras_protobuf_projector_config_proto_init() {
if File_tensorflow_python_keras_protobuf_projector_config_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
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default:
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switch v := v.(*ProjectorConfig); 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_python_keras_protobuf_projector_config_proto_rawDesc,
NumEnums: 0,
NumMessages: 3,
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GoTypes: file_tensorflow_python_keras_protobuf_projector_config_proto_goTypes,
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MessageInfos: file_tensorflow_python_keras_protobuf_projector_config_proto_msgTypes,
}.Build()
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file_tensorflow_python_keras_protobuf_projector_config_proto_rawDesc = nil
file_tensorflow_python_keras_protobuf_projector_config_proto_goTypes = nil
file_tensorflow_python_keras_protobuf_projector_config_proto_depIdxs = nil
}