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SivananthamandGitHub
4b84d130dd
* replace github.com/golang/protobuf Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * regenerate tf2openapi Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * remove use of github.com/gogo/protobuf pkg Signed-off-by: Sivanantham Chinnaiyan <[email protected]> --------- Signed-off-by: Sivanantham Chinnaiyan <[email protected]>
404 lines
16 KiB
Go
Generated
404 lines
16 KiB
Go
Generated
// Code generated by protoc-gen-go. DO NOT EDIT.
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// versions:
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// protoc-gen-go v1.28.1
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// protoc v3.14.0
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// source: tensorflow/core/framework/function.proto
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package framework
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import (
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protoreflect "google.golang.org/protobuf/reflect/protoreflect"
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protoimpl "google.golang.org/protobuf/runtime/protoimpl"
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reflect "reflect"
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sync "sync"
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)
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const (
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// Verify that this generated code is sufficiently up-to-date.
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_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
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// Verify that runtime/protoimpl is sufficiently up-to-date.
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_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
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)
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// A library is a set of named functions.
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type FunctionDefLibrary struct {
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state protoimpl.MessageState
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sizeCache protoimpl.SizeCache
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unknownFields protoimpl.UnknownFields
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Function []*FunctionDef `protobuf:"bytes,1,rep,name=function,proto3" json:"function,omitempty"`
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Gradient []*GradientDef `protobuf:"bytes,2,rep,name=gradient,proto3" json:"gradient,omitempty"`
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}
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func (x *FunctionDefLibrary) Reset() {
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*x = FunctionDefLibrary{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_framework_function_proto_msgTypes[0]
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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ms.StoreMessageInfo(mi)
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}
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}
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func (x *FunctionDefLibrary) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*FunctionDefLibrary) ProtoMessage() {}
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func (x *FunctionDefLibrary) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_framework_function_proto_msgTypes[0]
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if protoimpl.UnsafeEnabled && x != nil {
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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if ms.LoadMessageInfo() == nil {
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ms.StoreMessageInfo(mi)
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}
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return ms
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}
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return mi.MessageOf(x)
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}
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// Deprecated: Use FunctionDefLibrary.ProtoReflect.Descriptor instead.
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func (*FunctionDefLibrary) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_framework_function_proto_rawDescGZIP(), []int{0}
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}
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func (x *FunctionDefLibrary) GetFunction() []*FunctionDef {
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if x != nil {
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return x.Function
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}
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return nil
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}
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func (x *FunctionDefLibrary) GetGradient() []*GradientDef {
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if x != nil {
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return x.Gradient
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}
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return nil
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}
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// A function can be instantiated when the runtime can bind every attr
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// with a value. When a GraphDef has a call to a function, it must
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// have binding for every attr defined in the signature.
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//
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// TODO(zhifengc):
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// - device spec, etc.
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type FunctionDef struct {
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state protoimpl.MessageState
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sizeCache protoimpl.SizeCache
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unknownFields protoimpl.UnknownFields
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// The definition of the function's name, arguments, return values,
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// attrs etc.
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Signature *OpDef `protobuf:"bytes,1,opt,name=signature,proto3" json:"signature,omitempty"`
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// Attributes specific to this function definition.
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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"`
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// By convention, "op" in node_def is resolved by consulting with a
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// user-defined library first. If not resolved, "func" is assumed to
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// be a builtin op.
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NodeDef []*NodeDef `protobuf:"bytes,3,rep,name=node_def,json=nodeDef,proto3" json:"node_def,omitempty"`
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// A mapping from the output arg names from `signature` to the
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// outputs from `node_def` that should be returned by the function.
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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"`
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}
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func (x *FunctionDef) Reset() {
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*x = FunctionDef{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_framework_function_proto_msgTypes[1]
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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ms.StoreMessageInfo(mi)
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}
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}
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func (x *FunctionDef) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*FunctionDef) ProtoMessage() {}
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func (x *FunctionDef) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_framework_function_proto_msgTypes[1]
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if protoimpl.UnsafeEnabled && x != nil {
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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if ms.LoadMessageInfo() == nil {
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ms.StoreMessageInfo(mi)
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}
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return ms
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}
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return mi.MessageOf(x)
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}
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// Deprecated: Use FunctionDef.ProtoReflect.Descriptor instead.
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func (*FunctionDef) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_framework_function_proto_rawDescGZIP(), []int{1}
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}
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func (x *FunctionDef) GetSignature() *OpDef {
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if x != nil {
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return x.Signature
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}
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return nil
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}
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func (x *FunctionDef) GetAttr() map[string]*AttrValue {
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if x != nil {
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return x.Attr
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}
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return nil
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}
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func (x *FunctionDef) GetNodeDef() []*NodeDef {
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if x != nil {
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return x.NodeDef
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}
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return nil
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}
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func (x *FunctionDef) GetRet() map[string]string {
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if x != nil {
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return x.Ret
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}
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return nil
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}
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// GradientDef defines the gradient function of a function defined in
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// a function library.
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//
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// A gradient function g (specified by gradient_func) for a function f
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// (specified by function_name) must follow the following:
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//
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// The function 'f' must be a numerical function which takes N inputs
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// and produces M outputs. Its gradient function 'g', which is a
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// function taking N + M inputs and produces N outputs.
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//
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// I.e. if we have
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//
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// (y1, y2, ..., y_M) = f(x1, x2, ..., x_N),
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//
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// then, g is
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//
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// (dL/dx1, dL/dx2, ..., dL/dx_N) = g(x1, x2, ..., x_N,
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// dL/dy1, dL/dy2, ..., dL/dy_M),
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//
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// where L is a scalar-value function of (x1, x2, ..., xN) (e.g., the
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// loss function). dL/dx_i is the partial derivative of L with respect
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// to x_i.
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type GradientDef struct {
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state protoimpl.MessageState
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sizeCache protoimpl.SizeCache
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unknownFields protoimpl.UnknownFields
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FunctionName string `protobuf:"bytes,1,opt,name=function_name,json=functionName,proto3" json:"function_name,omitempty"` // The function name.
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GradientFunc string `protobuf:"bytes,2,opt,name=gradient_func,json=gradientFunc,proto3" json:"gradient_func,omitempty"` // The gradient function's name.
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}
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func (x *GradientDef) Reset() {
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*x = GradientDef{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_framework_function_proto_msgTypes[2]
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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ms.StoreMessageInfo(mi)
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}
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}
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func (x *GradientDef) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*GradientDef) ProtoMessage() {}
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func (x *GradientDef) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_framework_function_proto_msgTypes[2]
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if protoimpl.UnsafeEnabled && x != nil {
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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if ms.LoadMessageInfo() == nil {
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ms.StoreMessageInfo(mi)
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}
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return ms
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}
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return mi.MessageOf(x)
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}
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// Deprecated: Use GradientDef.ProtoReflect.Descriptor instead.
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func (*GradientDef) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_framework_function_proto_rawDescGZIP(), []int{2}
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}
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func (x *GradientDef) GetFunctionName() string {
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if x != nil {
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return x.FunctionName
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}
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return ""
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}
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func (x *GradientDef) GetGradientFunc() string {
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if x != nil {
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return x.GradientFunc
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}
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return ""
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}
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var File_tensorflow_core_framework_function_proto protoreflect.FileDescriptor
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var file_tensorflow_core_framework_function_proto_rawDesc = []byte{
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0x73, 0x6f, 0x72, 0x66, 0x6c, 0x6f, 0x77, 0x2f, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x66, 0x6c,
|
|
0x6f, 0x77, 0x2f, 0x67, 0x6f, 0x2f, 0x63, 0x6f, 0x72, 0x65, 0x2f, 0x66, 0x72, 0x61, 0x6d, 0x65,
|
|
0x77, 0x6f, 0x72, 0x6b, 0xf8, 0x01, 0x01, 0x62, 0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33,
|
|
}
|
|
|
|
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
|
|
}
|