/
tf_function.pb.go
510 lines (455 loc) · 21.5 KB
/
tf_function.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow/core/profiler/protobuf/tf_function.proto
package protobuf
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)
)
// All possible execution modes of a tf-function.
type TfFunctionExecutionMode int32
const (
// Yet to be set.
TfFunctionExecutionMode_INVALID_MODE TfFunctionExecutionMode = 0
// Eager execution.
TfFunctionExecutionMode_EAGER_MODE TfFunctionExecutionMode = 1
// Graph execution with tracing.
TfFunctionExecutionMode_TRACED_MODE TfFunctionExecutionMode = 2
// Graph execution without tracing.
TfFunctionExecutionMode_NOT_TRACED_MODE TfFunctionExecutionMode = 3
// Concrete function.
TfFunctionExecutionMode_CONCRETE_MODE TfFunctionExecutionMode = 4
)
// Enum value maps for TfFunctionExecutionMode.
var (
TfFunctionExecutionMode_name = map[int32]string{
0: "INVALID_MODE",
1: "EAGER_MODE",
2: "TRACED_MODE",
3: "NOT_TRACED_MODE",
4: "CONCRETE_MODE",
}
TfFunctionExecutionMode_value = map[string]int32{
"INVALID_MODE": 0,
"EAGER_MODE": 1,
"TRACED_MODE": 2,
"NOT_TRACED_MODE": 3,
"CONCRETE_MODE": 4,
}
)
func (x TfFunctionExecutionMode) Enum() *TfFunctionExecutionMode {
p := new(TfFunctionExecutionMode)
*p = x
return p
}
func (x TfFunctionExecutionMode) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (TfFunctionExecutionMode) Descriptor() protoreflect.EnumDescriptor {
return file_tensorflow_core_profiler_protobuf_tf_function_proto_enumTypes[0].Descriptor()
}
func (TfFunctionExecutionMode) Type() protoreflect.EnumType {
return &file_tensorflow_core_profiler_protobuf_tf_function_proto_enumTypes[0]
}
func (x TfFunctionExecutionMode) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use TfFunctionExecutionMode.Descriptor instead.
func (TfFunctionExecutionMode) EnumDescriptor() ([]byte, []int) {
return file_tensorflow_core_profiler_protobuf_tf_function_proto_rawDescGZIP(), []int{0}
}
// All possible compilers that can be used to compile a tf-function in the graph
// mode.
type TfFunctionCompiler int32
const (
// Yet to be set.
TfFunctionCompiler_INVALID_COMPILER TfFunctionCompiler = 0
// Any other compiler.
TfFunctionCompiler_OTHER_COMPILER TfFunctionCompiler = 1
// If some instance of the function is compiled with XLA and some is compiled
// with Non-XLA, use "MIXED_COMPILER".
TfFunctionCompiler_MIXED_COMPILER TfFunctionCompiler = 2
// XLA compiler.
TfFunctionCompiler_XLA_COMPILER TfFunctionCompiler = 3
// MLIR compiler.
TfFunctionCompiler_MLIR_COMPILER TfFunctionCompiler = 4
)
// Enum value maps for TfFunctionCompiler.
var (
TfFunctionCompiler_name = map[int32]string{
0: "INVALID_COMPILER",
1: "OTHER_COMPILER",
2: "MIXED_COMPILER",
3: "XLA_COMPILER",
4: "MLIR_COMPILER",
}
TfFunctionCompiler_value = map[string]int32{
"INVALID_COMPILER": 0,
"OTHER_COMPILER": 1,
"MIXED_COMPILER": 2,
"XLA_COMPILER": 3,
"MLIR_COMPILER": 4,
}
)
func (x TfFunctionCompiler) Enum() *TfFunctionCompiler {
p := new(TfFunctionCompiler)
*p = x
return p
}
func (x TfFunctionCompiler) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (TfFunctionCompiler) Descriptor() protoreflect.EnumDescriptor {
return file_tensorflow_core_profiler_protobuf_tf_function_proto_enumTypes[1].Descriptor()
}
func (TfFunctionCompiler) Type() protoreflect.EnumType {
return &file_tensorflow_core_profiler_protobuf_tf_function_proto_enumTypes[1]
}
func (x TfFunctionCompiler) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use TfFunctionCompiler.Descriptor instead.
func (TfFunctionCompiler) EnumDescriptor() ([]byte, []int) {
return file_tensorflow_core_profiler_protobuf_tf_function_proto_rawDescGZIP(), []int{1}
}
// Metrics associated with a particular execution mode of a tf-function.
type TfFunctionMetrics struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Number of invocations to the function in that execution mode.
Count uint64 `protobuf:"varint,1,opt,name=count,proto3" json:"count,omitempty"`
// The sum of "self-execution" time of this function over those invocations.
SelfTimePs uint64 `protobuf:"varint,2,opt,name=self_time_ps,json=selfTimePs,proto3" json:"self_time_ps,omitempty"`
}
func (x *TfFunctionMetrics) Reset() {
*x = TfFunctionMetrics{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_profiler_protobuf_tf_function_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *TfFunctionMetrics) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*TfFunctionMetrics) ProtoMessage() {}
func (x *TfFunctionMetrics) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_profiler_protobuf_tf_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 TfFunctionMetrics.ProtoReflect.Descriptor instead.
func (*TfFunctionMetrics) Descriptor() ([]byte, []int) {
return file_tensorflow_core_profiler_protobuf_tf_function_proto_rawDescGZIP(), []int{0}
}
func (x *TfFunctionMetrics) GetCount() uint64 {
if x != nil {
return x.Count
}
return 0
}
func (x *TfFunctionMetrics) GetSelfTimePs() uint64 {
if x != nil {
return x.SelfTimePs
}
return 0
}
// Statistics for a tf-function.
type TfFunction struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// A map from each execution mode to its corresponding metrics.
Metrics map[int32]*TfFunctionMetrics `protobuf:"bytes,1,rep,name=metrics,proto3" json:"metrics,omitempty" protobuf_key:"varint,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
// Total tracing count from the program's beginning (i.e. beyond the profiling
// period) of this tf-function.
TotalTracingCount int64 `protobuf:"varint,2,opt,name=total_tracing_count,json=totalTracingCount,proto3" json:"total_tracing_count,omitempty"`
// Compiler used to compile this function.
Compiler TfFunctionCompiler `protobuf:"varint,3,opt,name=compiler,proto3,enum=tensorflow.profiler.TfFunctionCompiler" json:"compiler,omitempty"`
// Percentage of time spent in the expensive calls to this function in the
// profiled period.
ExpensiveCallPercent float64 `protobuf:"fixed64,4,opt,name=expensive_call_percent,json=expensiveCallPercent,proto3" json:"expensive_call_percent,omitempty"`
}
func (x *TfFunction) Reset() {
*x = TfFunction{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_profiler_protobuf_tf_function_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *TfFunction) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*TfFunction) ProtoMessage() {}
func (x *TfFunction) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_profiler_protobuf_tf_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 TfFunction.ProtoReflect.Descriptor instead.
func (*TfFunction) Descriptor() ([]byte, []int) {
return file_tensorflow_core_profiler_protobuf_tf_function_proto_rawDescGZIP(), []int{1}
}
func (x *TfFunction) GetMetrics() map[int32]*TfFunctionMetrics {
if x != nil {
return x.Metrics
}
return nil
}
func (x *TfFunction) GetTotalTracingCount() int64 {
if x != nil {
return x.TotalTracingCount
}
return 0
}
func (x *TfFunction) GetCompiler() TfFunctionCompiler {
if x != nil {
return x.Compiler
}
return TfFunctionCompiler_INVALID_COMPILER
}
func (x *TfFunction) GetExpensiveCallPercent() float64 {
if x != nil {
return x.ExpensiveCallPercent
}
return 0
}
// Statistics for all tf-functions.
type TfFunctionDb struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// A map from function name to the statistics of that function.
TfFunctions map[string]*TfFunction `protobuf:"bytes,1,rep,name=tf_functions,json=tfFunctions,proto3" json:"tf_functions,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
}
func (x *TfFunctionDb) Reset() {
*x = TfFunctionDb{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_profiler_protobuf_tf_function_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *TfFunctionDb) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*TfFunctionDb) ProtoMessage() {}
func (x *TfFunctionDb) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_profiler_protobuf_tf_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 TfFunctionDb.ProtoReflect.Descriptor instead.
func (*TfFunctionDb) Descriptor() ([]byte, []int) {
return file_tensorflow_core_profiler_protobuf_tf_function_proto_rawDescGZIP(), []int{2}
}
func (x *TfFunctionDb) GetTfFunctions() map[string]*TfFunction {
if x != nil {
return x.TfFunctions
}
return nil
}
var File_tensorflow_core_profiler_protobuf_tf_function_proto protoreflect.FileDescriptor
var file_tensorflow_core_profiler_protobuf_tf_function_proto_rawDesc = []byte{
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