/
op_def.pb.go
734 lines (662 loc) · 28.1 KB
/
op_def.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.28.1
// protoc v3.21.8
// source: tensorflow/core/framework/op_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)
)
// Defines an operation. A NodeDef in a GraphDef specifies an Op by
// using the "op" field which should match the name of a OpDef.
// LINT.IfChange
type OpDef struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Op names starting with an underscore are reserved for internal use.
// Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9_]*".
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Description of the input(s).
InputArg []*OpDef_ArgDef `protobuf:"bytes,2,rep,name=input_arg,json=inputArg,proto3" json:"input_arg,omitempty"`
// Description of the output(s).
OutputArg []*OpDef_ArgDef `protobuf:"bytes,3,rep,name=output_arg,json=outputArg,proto3" json:"output_arg,omitempty"`
Attr []*OpDef_AttrDef `protobuf:"bytes,4,rep,name=attr,proto3" json:"attr,omitempty"`
// Optional deprecation based on GraphDef versions.
Deprecation *OpDeprecation `protobuf:"bytes,8,opt,name=deprecation,proto3" json:"deprecation,omitempty"`
// One-line human-readable description of what the Op does.
Summary string `protobuf:"bytes,5,opt,name=summary,proto3" json:"summary,omitempty"`
// Additional, longer human-readable description of what the Op does.
Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
// True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
IsCommutative bool `protobuf:"varint,18,opt,name=is_commutative,json=isCommutative,proto3" json:"is_commutative,omitempty"`
// If is_aggregate is true, then this operation accepts N >= 2
// inputs and produces 1 output all of the same type. Should be
// associative and commutative, and produce output with the same
// shape as the input. The optimizer may replace an aggregate op
// taking input from multiple devices with a tree of aggregate ops
// that aggregate locally within each device (and possibly within
// groups of nearby devices) before communicating.
// TODO(josh11b): Implement that optimization.
IsAggregate bool `protobuf:"varint,16,opt,name=is_aggregate,json=isAggregate,proto3" json:"is_aggregate,omitempty"` // for things like add
// Ops are marked as stateful if their behavior depends on some state beyond
// their input tensors (e.g. variable reading op) or if they have
// a side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
// must always produce the same output for the same input and have
// no side-effects.
//
// By default Ops may be moved between devices. Stateful ops should
// either not be moved, or should only be moved if that state can also
// be moved (e.g. via some sort of save / restore).
// Stateful ops are guaranteed to never be optimized away by Common
// Subexpression Elimination (CSE).
IsStateful bool `protobuf:"varint,17,opt,name=is_stateful,json=isStateful,proto3" json:"is_stateful,omitempty"` // for things like variables, queue
// By default, all inputs to an Op must be initialized Tensors. Ops
// that may initialize tensors for the first time should set this
// field to true, to allow the Op to take an uninitialized Tensor as
// input.
AllowsUninitializedInput bool `protobuf:"varint,19,opt,name=allows_uninitialized_input,json=allowsUninitializedInput,proto3" json:"allows_uninitialized_input,omitempty"` // for Assign, etc.
}
func (x *OpDef) Reset() {
*x = OpDef{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_op_def_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *OpDef) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*OpDef) ProtoMessage() {}
func (x *OpDef) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_op_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 OpDef.ProtoReflect.Descriptor instead.
func (*OpDef) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_op_def_proto_rawDescGZIP(), []int{0}
}
func (x *OpDef) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *OpDef) GetInputArg() []*OpDef_ArgDef {
if x != nil {
return x.InputArg
}
return nil
}
func (x *OpDef) GetOutputArg() []*OpDef_ArgDef {
if x != nil {
return x.OutputArg
}
return nil
}
func (x *OpDef) GetAttr() []*OpDef_AttrDef {
if x != nil {
return x.Attr
}
return nil
}
func (x *OpDef) GetDeprecation() *OpDeprecation {
if x != nil {
return x.Deprecation
}
return nil
}
func (x *OpDef) GetSummary() string {
if x != nil {
return x.Summary
}
return ""
}
func (x *OpDef) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *OpDef) GetIsCommutative() bool {
if x != nil {
return x.IsCommutative
}
return false
}
func (x *OpDef) GetIsAggregate() bool {
if x != nil {
return x.IsAggregate
}
return false
}
func (x *OpDef) GetIsStateful() bool {
if x != nil {
return x.IsStateful
}
return false
}
func (x *OpDef) GetAllowsUninitializedInput() bool {
if x != nil {
return x.AllowsUninitializedInput
}
return false
}
// Information about version-dependent deprecation of an op
type OpDeprecation struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// First GraphDef version at which the op is disallowed.
Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
// Explanation of why it was deprecated and what to use instead.
Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
}
func (x *OpDeprecation) Reset() {
*x = OpDeprecation{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_op_def_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *OpDeprecation) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*OpDeprecation) ProtoMessage() {}
func (x *OpDeprecation) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_op_def_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 OpDeprecation.ProtoReflect.Descriptor instead.
func (*OpDeprecation) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_op_def_proto_rawDescGZIP(), []int{1}
}
func (x *OpDeprecation) GetVersion() int32 {
if x != nil {
return x.Version
}
return 0
}
func (x *OpDeprecation) GetExplanation() string {
if x != nil {
return x.Explanation
}
return ""
}
// A collection of OpDefs
type OpList struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Op []*OpDef `protobuf:"bytes,1,rep,name=op,proto3" json:"op,omitempty"`
}
func (x *OpList) Reset() {
*x = OpList{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_op_def_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *OpList) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*OpList) ProtoMessage() {}
func (x *OpList) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_op_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 OpList.ProtoReflect.Descriptor instead.
func (*OpList) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_op_def_proto_rawDescGZIP(), []int{2}
}
func (x *OpList) GetOp() []*OpDef {
if x != nil {
return x.Op
}
return nil
}
// For describing inputs and outputs.
type OpDef_ArgDef struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Name for the input/output. Should match the regexp "[a-z][a-z0-9_]*".
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Human readable description.
Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
// Describes the type of one or more tensors that are accepted/produced
// by this input/output arg. The only legal combinations are:
// - For a single tensor: either the "type" field is set or the
// "type_attr" field is set to the name of an attr with type "type".
// - For a sequence of tensors with the same type: the "number_attr"
// field will be set to the name of an attr with type "int", and
// either the "type" or "type_attr" field will be set as for
// single tensors.
// - For a sequence of tensors, the "type_list_attr" field will be set
// to the name of an attr with type "list(type)".
Type DataType `protobuf:"varint,3,opt,name=type,proto3,enum=tensorflow.DataType" json:"type,omitempty"`
TypeAttr string `protobuf:"bytes,4,opt,name=type_attr,json=typeAttr,proto3" json:"type_attr,omitempty"` // if specified, attr must have type "type"
NumberAttr string `protobuf:"bytes,5,opt,name=number_attr,json=numberAttr,proto3" json:"number_attr,omitempty"` // if specified, attr must have type "int"
// If specified, attr must have type "list(type)", and none of
// type, type_attr, and number_attr may be specified.
TypeListAttr string `protobuf:"bytes,6,opt,name=type_list_attr,json=typeListAttr,proto3" json:"type_list_attr,omitempty"`
// For inputs: if true, the inputs are required to be refs.
//
// By default, inputs can be either refs or non-refs.
//
// For outputs: if true, outputs are refs, otherwise they are not.
IsRef bool `protobuf:"varint,16,opt,name=is_ref,json=isRef,proto3" json:"is_ref,omitempty"`
}
func (x *OpDef_ArgDef) Reset() {
*x = OpDef_ArgDef{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_op_def_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *OpDef_ArgDef) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*OpDef_ArgDef) ProtoMessage() {}
func (x *OpDef_ArgDef) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_op_def_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 OpDef_ArgDef.ProtoReflect.Descriptor instead.
func (*OpDef_ArgDef) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_op_def_proto_rawDescGZIP(), []int{0, 0}
}
func (x *OpDef_ArgDef) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *OpDef_ArgDef) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *OpDef_ArgDef) GetType() DataType {
if x != nil {
return x.Type
}
return DataType_DT_INVALID
}
func (x *OpDef_ArgDef) GetTypeAttr() string {
if x != nil {
return x.TypeAttr
}
return ""
}
func (x *OpDef_ArgDef) GetNumberAttr() string {
if x != nil {
return x.NumberAttr
}
return ""
}
func (x *OpDef_ArgDef) GetTypeListAttr() string {
if x != nil {
return x.TypeListAttr
}
return ""
}
func (x *OpDef_ArgDef) GetIsRef() bool {
if x != nil {
return x.IsRef
}
return false
}
// Description of the graph-construction-time configuration of this
// Op. That is to say, this describes the attr fields that will
// be specified in the NodeDef.
type OpDef_AttrDef struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// A descriptive name for the argument. May be used, e.g. by the
// Python client, as a keyword argument name, and so should match
// the regexp "[a-z][a-z0-9_]+".
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// One of the type names from attr_value.proto ("string", "list(string)",
// "int", etc.).
Type string `protobuf:"bytes,2,opt,name=type,proto3" json:"type,omitempty"`
// A reasonable default for this attribute if the user does not supply
// a value. If not specified, the user must supply a value.
DefaultValue *AttrValue `protobuf:"bytes,3,opt,name=default_value,json=defaultValue,proto3" json:"default_value,omitempty"`
// Human-readable description.
Description string `protobuf:"bytes,4,opt,name=description,proto3" json:"description,omitempty"`
// For type == "int", this is a minimum value. For "list(___)"
// types, this is the minimum length.
HasMinimum bool `protobuf:"varint,5,opt,name=has_minimum,json=hasMinimum,proto3" json:"has_minimum,omitempty"`
Minimum int64 `protobuf:"varint,6,opt,name=minimum,proto3" json:"minimum,omitempty"`
// The set of allowed values. Has type that is the "list" version
// of the "type" field above (uses the "list" field of AttrValue).
// If type == "type" or "list(type)" above, then the "type" field
// of "allowed_values.list" has the set of allowed DataTypes.
// If type == "string" or "list(string)", then the "s" field of
// "allowed_values.list" has the set of allowed strings.
AllowedValues *AttrValue `protobuf:"bytes,7,opt,name=allowed_values,json=allowedValues,proto3" json:"allowed_values,omitempty"`
}
func (x *OpDef_AttrDef) Reset() {
*x = OpDef_AttrDef{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_framework_op_def_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *OpDef_AttrDef) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*OpDef_AttrDef) ProtoMessage() {}
func (x *OpDef_AttrDef) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_framework_op_def_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 OpDef_AttrDef.ProtoReflect.Descriptor instead.
func (*OpDef_AttrDef) Descriptor() ([]byte, []int) {
return file_tensorflow_core_framework_op_def_proto_rawDescGZIP(), []int{0, 1}
}
func (x *OpDef_AttrDef) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *OpDef_AttrDef) GetType() string {
if x != nil {
return x.Type
}
return ""
}
func (x *OpDef_AttrDef) GetDefaultValue() *AttrValue {
if x != nil {
return x.DefaultValue
}
return nil
}
func (x *OpDef_AttrDef) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *OpDef_AttrDef) GetHasMinimum() bool {
if x != nil {
return x.HasMinimum
}
return false
}
func (x *OpDef_AttrDef) GetMinimum() int64 {
if x != nil {
return x.Minimum
}
return 0
}
func (x *OpDef_AttrDef) GetAllowedValues() *AttrValue {
if x != nil {
return x.AllowedValues
}
return nil
}
var File_tensorflow_core_framework_op_def_proto protoreflect.FileDescriptor
var file_tensorflow_core_framework_op_def_proto_rawDesc = []byte{
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}
var (
file_tensorflow_core_framework_op_def_proto_rawDescOnce sync.Once
file_tensorflow_core_framework_op_def_proto_rawDescData = file_tensorflow_core_framework_op_def_proto_rawDesc
)
func file_tensorflow_core_framework_op_def_proto_rawDescGZIP() []byte {
file_tensorflow_core_framework_op_def_proto_rawDescOnce.Do(func() {
file_tensorflow_core_framework_op_def_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_framework_op_def_proto_rawDescData)
})
return file_tensorflow_core_framework_op_def_proto_rawDescData
}
var file_tensorflow_core_framework_op_def_proto_msgTypes = make([]protoimpl.MessageInfo, 5)
var file_tensorflow_core_framework_op_def_proto_goTypes = []interface{}{
(*OpDef)(nil), // 0: tensorflow.OpDef
(*OpDeprecation)(nil), // 1: tensorflow.OpDeprecation
(*OpList)(nil), // 2: tensorflow.OpList
(*OpDef_ArgDef)(nil), // 3: tensorflow.OpDef.ArgDef
(*OpDef_AttrDef)(nil), // 4: tensorflow.OpDef.AttrDef
(DataType)(0), // 5: tensorflow.DataType
(*AttrValue)(nil), // 6: tensorflow.AttrValue
}
var file_tensorflow_core_framework_op_def_proto_depIdxs = []int32{
3, // 0: tensorflow.OpDef.input_arg:type_name -> tensorflow.OpDef.ArgDef
3, // 1: tensorflow.OpDef.output_arg:type_name -> tensorflow.OpDef.ArgDef
4, // 2: tensorflow.OpDef.attr:type_name -> tensorflow.OpDef.AttrDef
1, // 3: tensorflow.OpDef.deprecation:type_name -> tensorflow.OpDeprecation
0, // 4: tensorflow.OpList.op:type_name -> tensorflow.OpDef
5, // 5: tensorflow.OpDef.ArgDef.type:type_name -> tensorflow.DataType
6, // 6: tensorflow.OpDef.AttrDef.default_value:type_name -> tensorflow.AttrValue
6, // 7: tensorflow.OpDef.AttrDef.allowed_values:type_name -> tensorflow.AttrValue
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_op_def_proto_init() }
func file_tensorflow_core_framework_op_def_proto_init() {
if File_tensorflow_core_framework_op_def_proto != nil {
return
}
file_tensorflow_core_framework_attr_value_proto_init()
file_tensorflow_core_framework_types_proto_init()
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_framework_op_def_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*OpDef); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_op_def_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*OpDeprecation); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_op_def_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*OpList); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_op_def_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*OpDef_ArgDef); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_framework_op_def_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*OpDef_AttrDef); 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_op_def_proto_rawDesc,
NumEnums: 0,
NumMessages: 5,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_framework_op_def_proto_goTypes,
DependencyIndexes: file_tensorflow_core_framework_op_def_proto_depIdxs,
MessageInfos: file_tensorflow_core_framework_op_def_proto_msgTypes,
}.Build()
File_tensorflow_core_framework_op_def_proto = out.File
file_tensorflow_core_framework_op_def_proto_rawDesc = nil
file_tensorflow_core_framework_op_def_proto_goTypes = nil
file_tensorflow_core_framework_op_def_proto_depIdxs = nil
}