/
gpu_autotuning.pb.go
458 lines (408 loc) · 18.9 KB
/
gpu_autotuning.pb.go
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// This is used for convolution logging. Also see
// tensorflow/core/protobuf/autotuing.h
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow/compiler/xla/service/gpu/gpu_autotuning.proto
package gpu
import (
data "github.com/airenas/go-tf-serving-protogen/tensorflow/compiler/xla/data"
service "github.com/airenas/go-tf-serving-protogen/tensorflow/compiler/xla/service"
protobuf "github.com/airenas/go-tf-serving-protogen/tensorflow/core/protobuf"
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 ConvInstructionLog struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Instruction *service.HloInstructionProto `protobuf:"bytes,1,opt,name=instruction,proto3" json:"instruction,omitempty"`
OperandShapes []*data.ShapeProto `protobuf:"bytes,2,rep,name=operand_shapes,json=operandShapes,proto3" json:"operand_shapes,omitempty"`
ResultAddress uint64 `protobuf:"varint,3,opt,name=result_address,json=resultAddress,proto3" json:"result_address,omitempty"`
OperandAddresses []uint64 `protobuf:"varint,4,rep,packed,name=operand_addresses,json=operandAddresses,proto3" json:"operand_addresses,omitempty"`
}
func (x *ConvInstructionLog) Reset() {
*x = ConvInstructionLog{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ConvInstructionLog) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ConvInstructionLog) ProtoMessage() {}
func (x *ConvInstructionLog) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_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 ConvInstructionLog.ProtoReflect.Descriptor instead.
func (*ConvInstructionLog) Descriptor() ([]byte, []int) {
return file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescGZIP(), []int{0}
}
func (x *ConvInstructionLog) GetInstruction() *service.HloInstructionProto {
if x != nil {
return x.Instruction
}
return nil
}
func (x *ConvInstructionLog) GetOperandShapes() []*data.ShapeProto {
if x != nil {
return x.OperandShapes
}
return nil
}
func (x *ConvInstructionLog) GetResultAddress() uint64 {
if x != nil {
return x.ResultAddress
}
return 0
}
func (x *ConvInstructionLog) GetOperandAddresses() []uint64 {
if x != nil {
return x.OperandAddresses
}
return nil
}
type DenylistedAlgorithm struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Id int64 `protobuf:"varint,1,opt,name=id,proto3" json:"id,omitempty"`
TensorOps bool `protobuf:"varint,2,opt,name=tensor_ops,json=tensorOps,proto3" json:"tensor_ops,omitempty"`
}
func (x *DenylistedAlgorithm) Reset() {
*x = DenylistedAlgorithm{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DenylistedAlgorithm) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DenylistedAlgorithm) ProtoMessage() {}
func (x *DenylistedAlgorithm) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_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 DenylistedAlgorithm.ProtoReflect.Descriptor instead.
func (*DenylistedAlgorithm) Descriptor() ([]byte, []int) {
return file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescGZIP(), []int{1}
}
func (x *DenylistedAlgorithm) GetId() int64 {
if x != nil {
return x.Id
}
return 0
}
func (x *DenylistedAlgorithm) GetTensorOps() bool {
if x != nil {
return x.TensorOps
}
return false
}
type AlgorithmDenylistEntry struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Hlo string `protobuf:"bytes,1,opt,name=hlo,proto3" json:"hlo,omitempty"`
Cc *protobuf.ComputeCapability `protobuf:"bytes,2,opt,name=cc,proto3" json:"cc,omitempty"`
CudnnVersion *protobuf.CudnnVersion `protobuf:"bytes,3,opt,name=cudnn_version,json=cudnnVersion,proto3" json:"cudnn_version,omitempty"`
BlasVersion string `protobuf:"bytes,5,opt,name=blas_version,json=blasVersion,proto3" json:"blas_version,omitempty"`
Algos []*DenylistedAlgorithm `protobuf:"bytes,4,rep,name=algos,proto3" json:"algos,omitempty"`
}
func (x *AlgorithmDenylistEntry) Reset() {
*x = AlgorithmDenylistEntry{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *AlgorithmDenylistEntry) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*AlgorithmDenylistEntry) ProtoMessage() {}
func (x *AlgorithmDenylistEntry) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_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 AlgorithmDenylistEntry.ProtoReflect.Descriptor instead.
func (*AlgorithmDenylistEntry) Descriptor() ([]byte, []int) {
return file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescGZIP(), []int{2}
}
func (x *AlgorithmDenylistEntry) GetHlo() string {
if x != nil {
return x.Hlo
}
return ""
}
func (x *AlgorithmDenylistEntry) GetCc() *protobuf.ComputeCapability {
if x != nil {
return x.Cc
}
return nil
}
func (x *AlgorithmDenylistEntry) GetCudnnVersion() *protobuf.CudnnVersion {
if x != nil {
return x.CudnnVersion
}
return nil
}
func (x *AlgorithmDenylistEntry) GetBlasVersion() string {
if x != nil {
return x.BlasVersion
}
return ""
}
func (x *AlgorithmDenylistEntry) GetAlgos() []*DenylistedAlgorithm {
if x != nil {
return x.Algos
}
return nil
}
type AlgorithmDenylist struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Entries []*AlgorithmDenylistEntry `protobuf:"bytes,1,rep,name=entries,proto3" json:"entries,omitempty"`
}
func (x *AlgorithmDenylist) Reset() {
*x = AlgorithmDenylist{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *AlgorithmDenylist) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*AlgorithmDenylist) ProtoMessage() {}
func (x *AlgorithmDenylist) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_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 AlgorithmDenylist.ProtoReflect.Descriptor instead.
func (*AlgorithmDenylist) Descriptor() ([]byte, []int) {
return file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescGZIP(), []int{3}
}
func (x *AlgorithmDenylist) GetEntries() []*AlgorithmDenylistEntry {
if x != nil {
return x.Entries
}
return nil
}
var File_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto protoreflect.FileDescriptor
var file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDesc = []byte{
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}
var (
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescOnce sync.Once
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescData = file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDesc
)
func file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescGZIP() []byte {
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescOnce.Do(func() {
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescData)
})
return file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDescData
}
var file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes = make([]protoimpl.MessageInfo, 4)
var file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_goTypes = []interface{}{
(*ConvInstructionLog)(nil), // 0: xla.gpu.ConvInstructionLog
(*DenylistedAlgorithm)(nil), // 1: xla.gpu.DenylistedAlgorithm
(*AlgorithmDenylistEntry)(nil), // 2: xla.gpu.AlgorithmDenylistEntry
(*AlgorithmDenylist)(nil), // 3: xla.gpu.AlgorithmDenylist
(*service.HloInstructionProto)(nil), // 4: xla.HloInstructionProto
(*data.ShapeProto)(nil), // 5: xla.ShapeProto
(*protobuf.ComputeCapability)(nil), // 6: tensorflow.ComputeCapability
(*protobuf.CudnnVersion)(nil), // 7: tensorflow.CudnnVersion
}
var file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_depIdxs = []int32{
4, // 0: xla.gpu.ConvInstructionLog.instruction:type_name -> xla.HloInstructionProto
5, // 1: xla.gpu.ConvInstructionLog.operand_shapes:type_name -> xla.ShapeProto
6, // 2: xla.gpu.AlgorithmDenylistEntry.cc:type_name -> tensorflow.ComputeCapability
7, // 3: xla.gpu.AlgorithmDenylistEntry.cudnn_version:type_name -> tensorflow.CudnnVersion
1, // 4: xla.gpu.AlgorithmDenylistEntry.algos:type_name -> xla.gpu.DenylistedAlgorithm
2, // 5: xla.gpu.AlgorithmDenylist.entries:type_name -> xla.gpu.AlgorithmDenylistEntry
6, // [6:6] is the sub-list for method output_type
6, // [6:6] is the sub-list for method input_type
6, // [6:6] is the sub-list for extension type_name
6, // [6:6] is the sub-list for extension extendee
0, // [0:6] is the sub-list for field type_name
}
func init() { file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_init() }
func file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_init() {
if File_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ConvInstructionLog); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DenylistedAlgorithm); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*AlgorithmDenylistEntry); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*AlgorithmDenylist); 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_compiler_xla_service_gpu_gpu_autotuning_proto_rawDesc,
NumEnums: 0,
NumMessages: 4,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_goTypes,
DependencyIndexes: file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_depIdxs,
MessageInfos: file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_msgTypes,
}.Build()
File_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto = out.File
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_rawDesc = nil
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_goTypes = nil
file_tensorflow_compiler_xla_service_gpu_gpu_autotuning_proto_depIdxs = nil
}