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remote_tensor_handle.pb.go
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remote_tensor_handle.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.26.0
// protoc v3.16.0
// source: tensorflow/core/protobuf/remote_tensor_handle.proto
package for_core_protos_go_proto
import (
tensor_shape_go_proto "github.com/frankpacini/tensorflow/tensorflow/go/core/framework/tensor_shape_go_proto"
types_go_proto "github.com/frankpacini/tensorflow/tensorflow/go/core/framework/types_go_proto"
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 ResourceDtypeAndShape struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Dtype types_go_proto.DataType `protobuf:"varint,1,opt,name=dtype,proto3,enum=tensorflow.DataType" json:"dtype,omitempty"`
Shape *tensor_shape_go_proto.TensorShapeProto `protobuf:"bytes,2,opt,name=shape,proto3" json:"shape,omitempty"`
}
func (x *ResourceDtypeAndShape) Reset() {
*x = ResourceDtypeAndShape{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_protobuf_remote_tensor_handle_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ResourceDtypeAndShape) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ResourceDtypeAndShape) ProtoMessage() {}
func (x *ResourceDtypeAndShape) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_protobuf_remote_tensor_handle_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 ResourceDtypeAndShape.ProtoReflect.Descriptor instead.
func (*ResourceDtypeAndShape) Descriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescGZIP(), []int{0}
}
func (x *ResourceDtypeAndShape) GetDtype() types_go_proto.DataType {
if x != nil {
return x.Dtype
}
return types_go_proto.DataType_DT_INVALID
}
func (x *ResourceDtypeAndShape) GetShape() *tensor_shape_go_proto.TensorShapeProto {
if x != nil {
return x.Shape
}
return nil
}
type RemoteTensorHandle struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The ID of the operation that produced this tensor.
OpId int64 `protobuf:"varint,1,opt,name=op_id,json=opId,proto3" json:"op_id,omitempty"`
// The index into the outputs of the operation that produced this tensor.
OutputNum int32 `protobuf:"varint,2,opt,name=output_num,json=outputNum,proto3" json:"output_num,omitempty"`
// Device where the tensor is located. Cannot be empty.
// For multi-device functions, it's the default device passed to placer.
Device string `protobuf:"bytes,3,opt,name=device,proto3" json:"device,omitempty"`
// Device of the operation producing this tensor. Can be empty if the
// operation producing this tensor is a multi-device function.
OpDevice string `protobuf:"bytes,4,opt,name=op_device,json=opDevice,proto3" json:"op_device,omitempty"`
// Tensor type.
Dtype types_go_proto.DataType `protobuf:"varint,5,opt,name=dtype,proto3,enum=tensorflow.DataType" json:"dtype,omitempty"`
// Optional data types and shapes of a remote resource variable.
ResourceDtypesAndShapes []*ResourceDtypeAndShape `protobuf:"bytes,6,rep,name=resource_dtypes_and_shapes,json=resourceDtypesAndShapes,proto3" json:"resource_dtypes_and_shapes,omitempty"`
}
func (x *RemoteTensorHandle) Reset() {
*x = RemoteTensorHandle{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_protobuf_remote_tensor_handle_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *RemoteTensorHandle) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*RemoteTensorHandle) ProtoMessage() {}
func (x *RemoteTensorHandle) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_protobuf_remote_tensor_handle_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 RemoteTensorHandle.ProtoReflect.Descriptor instead.
func (*RemoteTensorHandle) Descriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescGZIP(), []int{1}
}
func (x *RemoteTensorHandle) GetOpId() int64 {
if x != nil {
return x.OpId
}
return 0
}
func (x *RemoteTensorHandle) GetOutputNum() int32 {
if x != nil {
return x.OutputNum
}
return 0
}
func (x *RemoteTensorHandle) GetDevice() string {
if x != nil {
return x.Device
}
return ""
}
func (x *RemoteTensorHandle) GetOpDevice() string {
if x != nil {
return x.OpDevice
}
return ""
}
func (x *RemoteTensorHandle) GetDtype() types_go_proto.DataType {
if x != nil {
return x.Dtype
}
return types_go_proto.DataType_DT_INVALID
}
func (x *RemoteTensorHandle) GetResourceDtypesAndShapes() []*ResourceDtypeAndShape {
if x != nil {
return x.ResourceDtypesAndShapes
}
return nil
}
var File_tensorflow_core_protobuf_remote_tensor_handle_proto protoreflect.FileDescriptor
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var (
file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescOnce sync.Once
file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescData = file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDesc
)
func file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescGZIP() []byte {
file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescOnce.Do(func() {
file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescData)
})
return file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDescData
}
var file_tensorflow_core_protobuf_remote_tensor_handle_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_tensorflow_core_protobuf_remote_tensor_handle_proto_goTypes = []interface{}{
(*ResourceDtypeAndShape)(nil), // 0: tensorflow.eager.ResourceDtypeAndShape
(*RemoteTensorHandle)(nil), // 1: tensorflow.eager.RemoteTensorHandle
(types_go_proto.DataType)(0), // 2: tensorflow.DataType
(*tensor_shape_go_proto.TensorShapeProto)(nil), // 3: tensorflow.TensorShapeProto
}
var file_tensorflow_core_protobuf_remote_tensor_handle_proto_depIdxs = []int32{
2, // 0: tensorflow.eager.ResourceDtypeAndShape.dtype:type_name -> tensorflow.DataType
3, // 1: tensorflow.eager.ResourceDtypeAndShape.shape:type_name -> tensorflow.TensorShapeProto
2, // 2: tensorflow.eager.RemoteTensorHandle.dtype:type_name -> tensorflow.DataType
0, // 3: tensorflow.eager.RemoteTensorHandle.resource_dtypes_and_shapes:type_name -> tensorflow.eager.ResourceDtypeAndShape
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_protobuf_remote_tensor_handle_proto_init() }
func file_tensorflow_core_protobuf_remote_tensor_handle_proto_init() {
if File_tensorflow_core_protobuf_remote_tensor_handle_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_protobuf_remote_tensor_handle_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ResourceDtypeAndShape); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_protobuf_remote_tensor_handle_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*RemoteTensorHandle); 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_protobuf_remote_tensor_handle_proto_rawDesc,
NumEnums: 0,
NumMessages: 2,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_protobuf_remote_tensor_handle_proto_goTypes,
DependencyIndexes: file_tensorflow_core_protobuf_remote_tensor_handle_proto_depIdxs,
MessageInfos: file_tensorflow_core_protobuf_remote_tensor_handle_proto_msgTypes,
}.Build()
File_tensorflow_core_protobuf_remote_tensor_handle_proto = out.File
file_tensorflow_core_protobuf_remote_tensor_handle_proto_rawDesc = nil
file_tensorflow_core_protobuf_remote_tensor_handle_proto_goTypes = nil
file_tensorflow_core_protobuf_remote_tensor_handle_proto_depIdxs = nil
}