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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]>
457 lines
19 KiB
Go
Generated
457 lines
19 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/tensor.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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// Protocol buffer representing a tensor.
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type TensorProto 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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Dtype DataType `protobuf:"varint,1,opt,name=dtype,proto3,enum=tensorflow.DataType" json:"dtype,omitempty"`
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// Shape of the tensor. TODO(touts): sort out the 0-rank issues.
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TensorShape *TensorShapeProto `protobuf:"bytes,2,opt,name=tensor_shape,json=tensorShape,proto3" json:"tensor_shape,omitempty"`
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// Version number.
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//
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// In version 0, if the "repeated xxx" representations contain only one
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// element, that element is repeated to fill the shape. This makes it easy
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// to represent a constant Tensor with a single value.
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VersionNumber int32 `protobuf:"varint,3,opt,name=version_number,json=versionNumber,proto3" json:"version_number,omitempty"`
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// Serialized raw tensor content from either Tensor::AsProtoTensorContent or
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// memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
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// can be used for all tensor types. The purpose of this representation is to
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// reduce serialization overhead during RPC call by avoiding serialization of
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// many repeated small items.
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TensorContent []byte `protobuf:"bytes,4,opt,name=tensor_content,json=tensorContent,proto3" json:"tensor_content,omitempty"`
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// DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
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// have some pointless zero padding for each value here.
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HalfVal []int32 `protobuf:"varint,13,rep,packed,name=half_val,json=halfVal,proto3" json:"half_val,omitempty"`
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// DT_FLOAT.
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FloatVal []float32 `protobuf:"fixed32,5,rep,packed,name=float_val,json=floatVal,proto3" json:"float_val,omitempty"`
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// DT_DOUBLE.
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DoubleVal []float64 `protobuf:"fixed64,6,rep,packed,name=double_val,json=doubleVal,proto3" json:"double_val,omitempty"`
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// DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
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IntVal []int32 `protobuf:"varint,7,rep,packed,name=int_val,json=intVal,proto3" json:"int_val,omitempty"`
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// DT_STRING
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StringVal [][]byte `protobuf:"bytes,8,rep,name=string_val,json=stringVal,proto3" json:"string_val,omitempty"`
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// DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
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// and imaginary parts of i-th single precision complex.
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ScomplexVal []float32 `protobuf:"fixed32,9,rep,packed,name=scomplex_val,json=scomplexVal,proto3" json:"scomplex_val,omitempty"`
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// DT_INT64
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Int64Val []int64 `protobuf:"varint,10,rep,packed,name=int64_val,json=int64Val,proto3" json:"int64_val,omitempty"`
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// DT_BOOL
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BoolVal []bool `protobuf:"varint,11,rep,packed,name=bool_val,json=boolVal,proto3" json:"bool_val,omitempty"`
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// DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
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// and imaginary parts of i-th double precision complex.
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DcomplexVal []float64 `protobuf:"fixed64,12,rep,packed,name=dcomplex_val,json=dcomplexVal,proto3" json:"dcomplex_val,omitempty"`
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// DT_RESOURCE
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ResourceHandleVal []*ResourceHandleProto `protobuf:"bytes,14,rep,name=resource_handle_val,json=resourceHandleVal,proto3" json:"resource_handle_val,omitempty"`
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// DT_VARIANT
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VariantVal []*VariantTensorDataProto `protobuf:"bytes,15,rep,name=variant_val,json=variantVal,proto3" json:"variant_val,omitempty"`
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// DT_UINT32
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Uint32Val []uint32 `protobuf:"varint,16,rep,packed,name=uint32_val,json=uint32Val,proto3" json:"uint32_val,omitempty"`
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// DT_UINT64
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Uint64Val []uint64 `protobuf:"varint,17,rep,packed,name=uint64_val,json=uint64Val,proto3" json:"uint64_val,omitempty"`
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}
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func (x *TensorProto) Reset() {
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*x = TensorProto{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_framework_tensor_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 *TensorProto) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*TensorProto) ProtoMessage() {}
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func (x *TensorProto) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_framework_tensor_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 TensorProto.ProtoReflect.Descriptor instead.
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func (*TensorProto) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_framework_tensor_proto_rawDescGZIP(), []int{0}
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}
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func (x *TensorProto) GetDtype() DataType {
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if x != nil {
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return x.Dtype
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}
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return DataType_DT_INVALID
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}
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func (x *TensorProto) GetTensorShape() *TensorShapeProto {
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if x != nil {
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return x.TensorShape
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}
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return nil
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}
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func (x *TensorProto) GetVersionNumber() int32 {
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if x != nil {
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return x.VersionNumber
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}
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return 0
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}
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func (x *TensorProto) GetTensorContent() []byte {
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if x != nil {
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return x.TensorContent
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}
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return nil
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}
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func (x *TensorProto) GetHalfVal() []int32 {
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if x != nil {
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return x.HalfVal
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}
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return nil
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}
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func (x *TensorProto) GetFloatVal() []float32 {
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if x != nil {
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return x.FloatVal
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}
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return nil
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}
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func (x *TensorProto) GetDoubleVal() []float64 {
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if x != nil {
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return x.DoubleVal
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}
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return nil
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}
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func (x *TensorProto) GetIntVal() []int32 {
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if x != nil {
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return x.IntVal
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}
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return nil
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}
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func (x *TensorProto) GetStringVal() [][]byte {
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if x != nil {
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return x.StringVal
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}
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return nil
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}
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func (x *TensorProto) GetScomplexVal() []float32 {
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if x != nil {
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return x.ScomplexVal
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}
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return nil
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}
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func (x *TensorProto) GetInt64Val() []int64 {
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if x != nil {
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return x.Int64Val
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}
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return nil
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}
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func (x *TensorProto) GetBoolVal() []bool {
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if x != nil {
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return x.BoolVal
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}
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return nil
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}
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func (x *TensorProto) GetDcomplexVal() []float64 {
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if x != nil {
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return x.DcomplexVal
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}
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return nil
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}
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func (x *TensorProto) GetResourceHandleVal() []*ResourceHandleProto {
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if x != nil {
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return x.ResourceHandleVal
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}
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return nil
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}
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func (x *TensorProto) GetVariantVal() []*VariantTensorDataProto {
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if x != nil {
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return x.VariantVal
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}
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return nil
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}
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func (x *TensorProto) GetUint32Val() []uint32 {
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if x != nil {
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return x.Uint32Val
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}
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return nil
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}
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func (x *TensorProto) GetUint64Val() []uint64 {
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if x != nil {
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return x.Uint64Val
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}
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return nil
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}
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// Protocol buffer representing the serialization format of DT_VARIANT tensors.
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type VariantTensorDataProto 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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// Name of the type of objects being serialized.
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TypeName string `protobuf:"bytes,1,opt,name=type_name,json=typeName,proto3" json:"type_name,omitempty"`
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// Portions of the object that are not Tensors.
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Metadata []byte `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
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// Tensors contained within objects being serialized.
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Tensors []*TensorProto `protobuf:"bytes,3,rep,name=tensors,proto3" json:"tensors,omitempty"`
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}
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func (x *VariantTensorDataProto) Reset() {
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*x = VariantTensorDataProto{}
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if protoimpl.UnsafeEnabled {
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mi := &file_tensorflow_core_framework_tensor_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 *VariantTensorDataProto) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*VariantTensorDataProto) ProtoMessage() {}
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func (x *VariantTensorDataProto) ProtoReflect() protoreflect.Message {
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mi := &file_tensorflow_core_framework_tensor_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 VariantTensorDataProto.ProtoReflect.Descriptor instead.
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func (*VariantTensorDataProto) Descriptor() ([]byte, []int) {
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return file_tensorflow_core_framework_tensor_proto_rawDescGZIP(), []int{1}
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}
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func (x *VariantTensorDataProto) GetTypeName() string {
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if x != nil {
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return x.TypeName
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}
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return ""
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}
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func (x *VariantTensorDataProto) GetMetadata() []byte {
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if x != nil {
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return x.Metadata
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}
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return nil
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}
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func (x *VariantTensorDataProto) GetTensors() []*TensorProto {
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if x != nil {
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return x.Tensors
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}
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return nil
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}
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var File_tensorflow_core_framework_tensor_proto protoreflect.FileDescriptor
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var file_tensorflow_core_framework_tensor_proto_rawDesc = []byte{
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|
|
}
|
|
|
|
var (
|
|
file_tensorflow_core_framework_tensor_proto_rawDescOnce sync.Once
|
|
file_tensorflow_core_framework_tensor_proto_rawDescData = file_tensorflow_core_framework_tensor_proto_rawDesc
|
|
)
|
|
|
|
func file_tensorflow_core_framework_tensor_proto_rawDescGZIP() []byte {
|
|
file_tensorflow_core_framework_tensor_proto_rawDescOnce.Do(func() {
|
|
file_tensorflow_core_framework_tensor_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_framework_tensor_proto_rawDescData)
|
|
})
|
|
return file_tensorflow_core_framework_tensor_proto_rawDescData
|
|
}
|
|
|
|
var file_tensorflow_core_framework_tensor_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
|
|
var file_tensorflow_core_framework_tensor_proto_goTypes = []interface{}{
|
|
(*TensorProto)(nil), // 0: tensorflow.TensorProto
|
|
(*VariantTensorDataProto)(nil), // 1: tensorflow.VariantTensorDataProto
|
|
(DataType)(0), // 2: tensorflow.DataType
|
|
(*TensorShapeProto)(nil), // 3: tensorflow.TensorShapeProto
|
|
(*ResourceHandleProto)(nil), // 4: tensorflow.ResourceHandleProto
|
|
}
|
|
var file_tensorflow_core_framework_tensor_proto_depIdxs = []int32{
|
|
2, // 0: tensorflow.TensorProto.dtype:type_name -> tensorflow.DataType
|
|
3, // 1: tensorflow.TensorProto.tensor_shape:type_name -> tensorflow.TensorShapeProto
|
|
4, // 2: tensorflow.TensorProto.resource_handle_val:type_name -> tensorflow.ResourceHandleProto
|
|
1, // 3: tensorflow.TensorProto.variant_val:type_name -> tensorflow.VariantTensorDataProto
|
|
0, // 4: tensorflow.VariantTensorDataProto.tensors:type_name -> tensorflow.TensorProto
|
|
5, // [5:5] is the sub-list for method output_type
|
|
5, // [5:5] is the sub-list for method input_type
|
|
5, // [5:5] is the sub-list for extension type_name
|
|
5, // [5:5] is the sub-list for extension extendee
|
|
0, // [0:5] is the sub-list for field type_name
|
|
}
|
|
|
|
func init() { file_tensorflow_core_framework_tensor_proto_init() }
|
|
func file_tensorflow_core_framework_tensor_proto_init() {
|
|
if File_tensorflow_core_framework_tensor_proto != nil {
|
|
return
|
|
}
|
|
file_tensorflow_core_framework_resource_handle_proto_init()
|
|
file_tensorflow_core_framework_tensor_shape_proto_init()
|
|
file_tensorflow_core_framework_types_proto_init()
|
|
if !protoimpl.UnsafeEnabled {
|
|
file_tensorflow_core_framework_tensor_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*TensorProto); i {
|
|
case 0:
|
|
return &v.state
|
|
case 1:
|
|
return &v.sizeCache
|
|
case 2:
|
|
return &v.unknownFields
|
|
default:
|
|
return nil
|
|
}
|
|
}
|
|
file_tensorflow_core_framework_tensor_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
|
|
switch v := v.(*VariantTensorDataProto); 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_tensor_proto_rawDesc,
|
|
NumEnums: 0,
|
|
NumMessages: 2,
|
|
NumExtensions: 0,
|
|
NumServices: 0,
|
|
},
|
|
GoTypes: file_tensorflow_core_framework_tensor_proto_goTypes,
|
|
DependencyIndexes: file_tensorflow_core_framework_tensor_proto_depIdxs,
|
|
MessageInfos: file_tensorflow_core_framework_tensor_proto_msgTypes,
|
|
}.Build()
|
|
File_tensorflow_core_framework_tensor_proto = out.File
|
|
file_tensorflow_core_framework_tensor_proto_rawDesc = nil
|
|
file_tensorflow_core_framework_tensor_proto_goTypes = nil
|
|
file_tensorflow_core_framework_tensor_proto_depIdxs = nil
|
|
}
|