/
node_def.pb.go
376 lines (344 loc) · 16.5 KB
/
node_def.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow/core/framework/node_def.proto
package framework
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 NodeDef struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The name given to this operator. Used for naming inputs,
// logging, visualization, etc. Unique within a single GraphDef.
// Must match the regexp "[A-Za-z0-9.][A-Za-z0-9_>./]*".
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// The operation name. There may be custom parameters in attrs.
// Op names starting with an underscore are reserved for internal use.
Op string `protobuf:"bytes,2,opt,name=op,proto3" json:"op,omitempty"`
// Each input is "node:src_output" with "node" being a string name and
// "src_output" indicating which output tensor to use from "node". If
// "src_output" is 0 the ":0" suffix can be omitted. Regular inputs
// may optionally be followed by control inputs that have the format
// "^node".
Input []string `protobuf:"bytes,3,rep,name=input,proto3" json:"input,omitempty"`
// A (possibly partial) specification for the device on which this
// node should be placed.
// The expected syntax for this string is as follows:
//
// DEVICE_SPEC ::= PARTIAL_SPEC
//
// PARTIAL_SPEC ::= ("/" CONSTRAINT) *
// CONSTRAINT ::= ("job:" JOB_NAME)
//
// | ("replica:" [1-9][0-9]*)
// | ("task:" [1-9][0-9]*)
// | ("device:" [A-Za-z]* ":" ([1-9][0-9]* | "*") )
//
// Valid values for this string include:
// * "/job:worker/replica:0/task:1/device:GPU:3" (full specification)
// * "/job:worker/device:GPU:3" (partial specification)
// * "" (no specification)
//
// If the constraints do not resolve to a single device (or if this
// field is empty or not present), the runtime will attempt to
// choose a device automatically.
Device string `protobuf:"bytes,4,opt,name=device,proto3" json:"device,omitempty"`
// Operation-specific graph-construction-time configuration.
// Note that this should include all attrs defined in the
// corresponding OpDef, including those with a value matching
// the default -- this allows the default to change and makes
// NodeDefs easier to interpret on their own. However, if
// an attr with a default is not specified in this list, the
// default will be used.
// The "names" (keys) must match the regexp "[a-z][a-z0-9_]+" (and
// one of the names from the corresponding OpDef's attr field).
// The values must have a type matching the corresponding OpDef
// attr's type field.
// TODO(josh11b): Add some examples here showing best practices.
Attr map[string]*AttrValue `protobuf:"bytes,5,rep,name=attr,proto3" json:"attr,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
// This stores debug information associated with the node.
ExperimentalDebugInfo *NodeDef_ExperimentalDebugInfo `protobuf:"bytes,6,opt,name=experimental_debug_info,json=experimentalDebugInfo,proto3" json:"experimental_debug_info,omitempty"`
// The complete type of this node. Experimental and subject to change.
// Currently, the field only contains the return types of the node. That will
// extend in the future to contain the entire signature of the node, as a
// function type.
ExperimentalType *FullTypeDef `protobuf:"bytes,7,opt,name=experimental_type,json=experimentalType,proto3" json:"experimental_type,omitempty"`
}
func (x *NodeDef) Reset() {
*x = NodeDef{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_node_def_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NodeDef) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NodeDef) ProtoMessage() {}
func (x *NodeDef) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_node_def_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 NodeDef.ProtoReflect.Descriptor instead.
func (*NodeDef) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_node_def_proto_rawDescGZIP(), []int{0}
}
func (x *NodeDef) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *NodeDef) GetOp() string {
if x != nil {
return x.Op
}
return ""
}
func (x *NodeDef) GetInput() []string {
if x != nil {
return x.Input
}
return nil
}
func (x *NodeDef) GetDevice() string {
if x != nil {
return x.Device
}
return ""
}
func (x *NodeDef) GetAttr() map[string]*AttrValue {
if x != nil {
return x.Attr
}
return nil
}
func (x *NodeDef) GetExperimentalDebugInfo() *NodeDef_ExperimentalDebugInfo {
if x != nil {
return x.ExperimentalDebugInfo
}
return nil
}
func (x *NodeDef) GetExperimentalType() *FullTypeDef {
if x != nil {
return x.ExperimentalType
}
return nil
}
type NodeDef_ExperimentalDebugInfo struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Opaque string inserted into error messages created by the runtime.
//
// This is intended to store the list of names of the nodes from the
// original graph that this node was derived. For example if this node, say
// C, was result of a fusion of 2 nodes A and B, then 'original_node' would
// be {A, B}. This information can be used to map errors originating at the
// current node to some top level source code.
OriginalNodeNames []string `protobuf:"bytes,1,rep,name=original_node_names,json=originalNodeNames,proto3" json:"original_node_names,omitempty"`
// This is intended to store the list of names of the functions from the
// original graph that this node was derived. For example if this node, say
// C, was result of a fusion of node A in function FA and node B in function
// FB, then `original_funcs` would be {FA, FB}. If the node is in the top
// level graph, the `original_func` is empty. This information, with the
// `original_node_names` can be used to map errors originating at the
// current ndoe to some top level source code.
OriginalFuncNames []string `protobuf:"bytes,2,rep,name=original_func_names,json=originalFuncNames,proto3" json:"original_func_names,omitempty"`
}
func (x *NodeDef_ExperimentalDebugInfo) Reset() {
*x = NodeDef_ExperimentalDebugInfo{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_node_def_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NodeDef_ExperimentalDebugInfo) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NodeDef_ExperimentalDebugInfo) ProtoMessage() {}
func (x *NodeDef_ExperimentalDebugInfo) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_node_def_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 NodeDef_ExperimentalDebugInfo.ProtoReflect.Descriptor instead.
func (*NodeDef_ExperimentalDebugInfo) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_node_def_proto_rawDescGZIP(), []int{0, 1}
}
func (x *NodeDef_ExperimentalDebugInfo) GetOriginalNodeNames() []string {
if x != nil {
return x.OriginalNodeNames
}
return nil
}
func (x *NodeDef_ExperimentalDebugInfo) GetOriginalFuncNames() []string {
if x != nil {
return x.OriginalFuncNames
}
return nil
}
var File_tensorflow_core_framework_node_def_proto protoreflect.FileDescriptor
var file_tensorflow_core_framework_node_def_proto_rawDesc = []byte{
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}
var (
file_tensorflow_core_framework_node_def_proto_rawDescOnce sync.Once
file_tensorflow_core_framework_node_def_proto_rawDescData = file_tensorflow_core_framework_node_def_proto_rawDesc
)
func file_tensorflow_core_framework_node_def_proto_rawDescGZIP() []byte {
file_tensorflow_core_framework_node_def_proto_rawDescOnce.Do(func() {
file_tensorflow_core_framework_node_def_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_framework_node_def_proto_rawDescData)
})
return file_tensorflow_core_framework_node_def_proto_rawDescData
}
var file_tensorflow_core_framework_node_def_proto_msgTypes = make([]protoimpl.MessageInfo, 3)
var file_tensorflow_core_framework_node_def_proto_goTypes = []interface{}{
(*NodeDef)(nil), // 0: tensorflow.NodeDef
nil, // 1: tensorflow.NodeDef.AttrEntry
(*NodeDef_ExperimentalDebugInfo)(nil), // 2: tensorflow.NodeDef.ExperimentalDebugInfo
(*FullTypeDef)(nil), // 3: tensorflow.FullTypeDef
(*AttrValue)(nil), // 4: tensorflow.AttrValue
}
var file_tensorflow_core_framework_node_def_proto_depIdxs = []int32{
1, // 0: tensorflow.NodeDef.attr:type_name -> tensorflow.NodeDef.AttrEntry
2, // 1: tensorflow.NodeDef.experimental_debug_info:type_name -> tensorflow.NodeDef.ExperimentalDebugInfo
3, // 2: tensorflow.NodeDef.experimental_type:type_name -> tensorflow.FullTypeDef
4, // 3: tensorflow.NodeDef.AttrEntry.value:type_name -> tensorflow.AttrValue
4, // [4:4] is the sub-list for method output_type
4, // [4:4] is the sub-list for method input_type
4, // [4:4] is the sub-list for extension type_name
4, // [4:4] is the sub-list for extension extendee
0, // [0:4] is the sub-list for field type_name
}
func init() { file_tensorflow_core_framework_node_def_proto_init() }
func file_tensorflow_core_framework_node_def_proto_init() {
if File_tensorflow_core_framework_node_def_proto != nil {
return
}
file_tensorflow_core_framework_attr_value_proto_init()
file_tensorflow_core_framework_full_type_proto_init()
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_framework_node_def_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NodeDef); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_node_def_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NodeDef_ExperimentalDebugInfo); 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_framework_node_def_proto_rawDesc,
NumEnums: 0,
NumMessages: 3,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_framework_node_def_proto_goTypes,
DependencyIndexes: file_tensorflow_core_framework_node_def_proto_depIdxs,
MessageInfos: file_tensorflow_core_framework_node_def_proto_msgTypes,
}.Build()
File_tensorflow_core_framework_node_def_proto = out.File
file_tensorflow_core_framework_node_def_proto_rawDesc = nil
file_tensorflow_core_framework_node_def_proto_goTypes = nil
file_tensorflow_core_framework_node_def_proto_depIdxs = nil
}