pkg/tensorflow/core/framework/function.pb.go

// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.28.1
// 	protoc        v3.21.8
// source: tensorflow/core/framework/function.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)
)

// A library is a set of named functions.
type FunctionDefLibrary struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	Function []*FunctionDef `protobuf:"bytes,1,rep,name=function,proto3" json:"function,omitempty"`
	Gradient []*GradientDef `protobuf:"bytes,2,rep,name=gradient,proto3" json:"gradient,omitempty"`
}

func (x *FunctionDefLibrary) Reset() {
	*x = FunctionDefLibrary{}
	if protoimpl.UnsafeEnabled {
		mi := &file_tensorflow_core_framework_function_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FunctionDefLibrary) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FunctionDefLibrary) ProtoMessage() {}

func (x *FunctionDefLibrary) ProtoReflect() protoreflect.Message {
	mi := &file_tensorflow_core_framework_function_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 FunctionDefLibrary.ProtoReflect.Descriptor instead.
func (*FunctionDefLibrary) Descriptor() ([]byte, []int) {
	return file_tensorflow_core_framework_function_proto_rawDescGZIP(), []int{0}
}

func (x *FunctionDefLibrary) GetFunction() []*FunctionDef {
	if x != nil {
		return x.Function
	}
	return nil
}

func (x *FunctionDefLibrary) GetGradient() []*GradientDef {
	if x != nil {
		return x.Gradient
	}
	return nil
}

// A function can be instantiated when the runtime can bind every attr
// with a value. When a GraphDef has a call to a function, it must
// have binding for every attr defined in the signature.
//
// TODO(zhifengc):
//   - device spec, etc.
type FunctionDef struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The definition of the function's name, arguments, return values,
	// attrs etc.
	Signature *OpDef `protobuf:"bytes,1,opt,name=signature,proto3" json:"signature,omitempty"`
	// Attributes specific to this function definition.
	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"`
	// By convention, "op" in node_def is resolved by consulting with a
	// user-defined library first. If not resolved, "func" is assumed to
	// be a builtin op.
	NodeDef []*NodeDef `protobuf:"bytes,3,rep,name=node_def,json=nodeDef,proto3" json:"node_def,omitempty"`
	// A mapping from the output arg names from `signature` to the
	// outputs from `node_def` that should be returned by the function.
	Ret map[string]string `protobuf:"bytes,4,rep,name=ret,proto3" json:"ret,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
}

func (x *FunctionDef) Reset() {
	*x = FunctionDef{}
	if protoimpl.UnsafeEnabled {
		mi := &file_tensorflow_core_framework_function_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *FunctionDef) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*FunctionDef) ProtoMessage() {}

func (x *FunctionDef) ProtoReflect() protoreflect.Message {
	mi := &file_tensorflow_core_framework_function_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 FunctionDef.ProtoReflect.Descriptor instead.
func (*FunctionDef) Descriptor() ([]byte, []int) {
	return file_tensorflow_core_framework_function_proto_rawDescGZIP(), []int{1}
}

func (x *FunctionDef) GetSignature() *OpDef {
	if x != nil {
		return x.Signature
	}
	return nil
}

func (x *FunctionDef) GetAttr() map[string]*AttrValue {
	if x != nil {
		return x.Attr
	}
	return nil
}

func (x *FunctionDef) GetNodeDef() []*NodeDef {
	if x != nil {
		return x.NodeDef
	}
	return nil
}

func (x *FunctionDef) GetRet() map[string]string {
	if x != nil {
		return x.Ret
	}
	return nil
}

// GradientDef defines the gradient function of a function defined in
// a function library.
//
// A gradient function g (specified by gradient_func) for a function f
// (specified by function_name) must follow the following:
//
// The function 'f' must be a numerical function which takes N inputs
// and produces M outputs. Its gradient function 'g', which is a
// function taking N + M inputs and produces N outputs.
//
// I.e. if we have
//
//	(y1, y2, ..., y_M) = f(x1, x2, ..., x_N),
//
// then, g is
//
//	(dL/dx1, dL/dx2, ..., dL/dx_N) = g(x1, x2, ..., x_N,
//	                                  dL/dy1, dL/dy2, ..., dL/dy_M),
//
// where L is a scalar-value function of (x1, x2, ..., xN) (e.g., the
// loss function). dL/dx_i is the partial derivative of L with respect
// to x_i.
type GradientDef struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	FunctionName string `protobuf:"bytes,1,opt,name=function_name,json=functionName,proto3" json:"function_name,omitempty"` // The function name.
	GradientFunc string `protobuf:"bytes,2,opt,name=gradient_func,json=gradientFunc,proto3" json:"gradient_func,omitempty"` // The gradient function's name.
}

func (x *GradientDef) Reset() {
	*x = GradientDef{}
	if protoimpl.UnsafeEnabled {
		mi := &file_tensorflow_core_framework_function_proto_msgTypes[2]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *GradientDef) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*GradientDef) ProtoMessage() {}

func (x *GradientDef) ProtoReflect() protoreflect.Message {
	mi := &file_tensorflow_core_framework_function_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 GradientDef.ProtoReflect.Descriptor instead.
func (*GradientDef) Descriptor() ([]byte, []int) {
	return file_tensorflow_core_framework_function_proto_rawDescGZIP(), []int{2}
}

func (x *GradientDef) GetFunctionName() string {
	if x != nil {
		return x.FunctionName
	}
	return ""
}

func (x *GradientDef) GetGradientFunc() string {
	if x != nil {
		return x.GradientFunc
	}
	return ""
}

var File_tensorflow_core_framework_function_proto protoreflect.FileDescriptor

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}

var (
	file_tensorflow_core_framework_function_proto_rawDescOnce sync.Once
	file_tensorflow_core_framework_function_proto_rawDescData = file_tensorflow_core_framework_function_proto_rawDesc
)

func file_tensorflow_core_framework_function_proto_rawDescGZIP() []byte {
	file_tensorflow_core_framework_function_proto_rawDescOnce.Do(func() {
		file_tensorflow_core_framework_function_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_framework_function_proto_rawDescData)
	})
	return file_tensorflow_core_framework_function_proto_rawDescData
}

var file_tensorflow_core_framework_function_proto_msgTypes = make([]protoimpl.MessageInfo, 5)
var file_tensorflow_core_framework_function_proto_goTypes = []interface{}{
	(*FunctionDefLibrary)(nil), // 0: tensorflow.FunctionDefLibrary
	(*FunctionDef)(nil),        // 1: tensorflow.FunctionDef
	(*GradientDef)(nil),        // 2: tensorflow.GradientDef
	nil,                        // 3: tensorflow.FunctionDef.AttrEntry
	nil,                        // 4: tensorflow.FunctionDef.RetEntry
	(*OpDef)(nil),              // 5: tensorflow.OpDef
	(*NodeDef)(nil),            // 6: tensorflow.NodeDef
	(*AttrValue)(nil),          // 7: tensorflow.AttrValue
}
var file_tensorflow_core_framework_function_proto_depIdxs = []int32{
	1, // 0: tensorflow.FunctionDefLibrary.function:type_name -> tensorflow.FunctionDef
	2, // 1: tensorflow.FunctionDefLibrary.gradient:type_name -> tensorflow.GradientDef
	5, // 2: tensorflow.FunctionDef.signature:type_name -> tensorflow.OpDef
	3, // 3: tensorflow.FunctionDef.attr:type_name -> tensorflow.FunctionDef.AttrEntry
	6, // 4: tensorflow.FunctionDef.node_def:type_name -> tensorflow.NodeDef
	4, // 5: tensorflow.FunctionDef.ret:type_name -> tensorflow.FunctionDef.RetEntry
	7, // 6: tensorflow.FunctionDef.AttrEntry.value:type_name -> tensorflow.AttrValue
	7, // [7:7] is the sub-list for method output_type
	7, // [7:7] is the sub-list for method input_type
	7, // [7:7] is the sub-list for extension type_name
	7, // [7:7] is the sub-list for extension extendee
	0, // [0:7] is the sub-list for field type_name
}

func init() { file_tensorflow_core_framework_function_proto_init() }
func file_tensorflow_core_framework_function_proto_init() {
	if File_tensorflow_core_framework_function_proto != nil {
		return
	}
	file_tensorflow_core_framework_attr_value_proto_init()
	file_tensorflow_core_framework_node_def_proto_init()
	file_tensorflow_core_framework_op_def_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_tensorflow_core_framework_function_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FunctionDefLibrary); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_tensorflow_core_framework_function_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*FunctionDef); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_tensorflow_core_framework_function_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GradientDef); 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_function_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   5,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_tensorflow_core_framework_function_proto_goTypes,
		DependencyIndexes: file_tensorflow_core_framework_function_proto_depIdxs,
		MessageInfos:      file_tensorflow_core_framework_function_proto_msgTypes,
	}.Build()
	File_tensorflow_core_framework_function_proto = out.File
	file_tensorflow_core_framework_function_proto_rawDesc = nil
	file_tensorflow_core_framework_function_proto_goTypes = nil
	file_tensorflow_core_framework_function_proto_depIdxs = nil
}