evaluation_config.pb.go

// Copyright 2019 The TensorFlow Authors. All Rights Reserved.
//
//Licensed under the Apache License, Version 2.0 (the "License");
//you may not use this file except in compliance with the License.
//You may obtain a copy of the License at
//
//http://www.apache.org/licenses/LICENSE-2.0
//
//Unless required by applicable law or agreed to in writing, software
//distributed under the License is distributed on an "AS IS" BASIS,
//WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
//See the License for the specific language governing permissions and
//limitations under the License.
//==============================================================================

// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.31.0
// 	protoc        (unknown)
// source: tensorflow/lite/tools/evaluation/proto/evaluation_config.proto

package proto

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)
)

// Contains parameters that define how an EvaluationStage will be executed.
// This would typically be validated only once during initialization, so should
// not contain any variables that change with each run.
//
// Next ID: 3
type EvaluationStageConfig struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	Name *string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
	// Specification defining what this stage does, and any required parameters.
	Specification *ProcessSpecification `protobuf:"bytes,2,opt,name=specification" json:"specification,omitempty"`
}

func (x *EvaluationStageConfig) Reset() {
	*x = EvaluationStageConfig{}
	if protoimpl.UnsafeEnabled {
		mi := &file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *EvaluationStageConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*EvaluationStageConfig) ProtoMessage() {}

func (x *EvaluationStageConfig) ProtoReflect() protoreflect.Message {
	mi := &file_tensorflow_lite_tools_evaluation_proto_evaluation_config_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 EvaluationStageConfig.ProtoReflect.Descriptor instead.
func (*EvaluationStageConfig) Descriptor() ([]byte, []int) {
	return file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescGZIP(), []int{0}
}

func (x *EvaluationStageConfig) GetName() string {
	if x != nil && x.Name != nil {
		return *x.Name
	}
	return ""
}

func (x *EvaluationStageConfig) GetSpecification() *ProcessSpecification {
	if x != nil {
		return x.Specification
	}
	return nil
}

// Metrics returned from EvaluationStage.LatestMetrics() need not have all
// fields set.
type EvaluationStageMetrics struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Total number of times the EvaluationStage is run.
	NumRuns *int32 `protobuf:"varint,1,opt,name=num_runs,json=numRuns" json:"num_runs,omitempty"`
	// Process-specific numbers such as latencies, accuracy, etc.
	ProcessMetrics *ProcessMetrics `protobuf:"bytes,2,opt,name=process_metrics,json=processMetrics" json:"process_metrics,omitempty"`
}

func (x *EvaluationStageMetrics) Reset() {
	*x = EvaluationStageMetrics{}
	if protoimpl.UnsafeEnabled {
		mi := &file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *EvaluationStageMetrics) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*EvaluationStageMetrics) ProtoMessage() {}

func (x *EvaluationStageMetrics) ProtoReflect() protoreflect.Message {
	mi := &file_tensorflow_lite_tools_evaluation_proto_evaluation_config_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 EvaluationStageMetrics.ProtoReflect.Descriptor instead.
func (*EvaluationStageMetrics) Descriptor() ([]byte, []int) {
	return file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescGZIP(), []int{1}
}

func (x *EvaluationStageMetrics) GetNumRuns() int32 {
	if x != nil && x.NumRuns != nil {
		return *x.NumRuns
	}
	return 0
}

func (x *EvaluationStageMetrics) GetProcessMetrics() *ProcessMetrics {
	if x != nil {
		return x.ProcessMetrics
	}
	return nil
}

var File_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto protoreflect.FileDescriptor

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var (
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	file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescData = file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDesc
)

func file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescGZIP() []byte {
	file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescOnce.Do(func() {
		file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescData)
	})
	return file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDescData
}

var file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_goTypes = []interface{}{
	(*EvaluationStageConfig)(nil),  // 0: tflite.evaluation.EvaluationStageConfig
	(*EvaluationStageMetrics)(nil), // 1: tflite.evaluation.EvaluationStageMetrics
	(*ProcessSpecification)(nil),   // 2: tflite.evaluation.ProcessSpecification
	(*ProcessMetrics)(nil),         // 3: tflite.evaluation.ProcessMetrics
}
var file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_depIdxs = []int32{
	2, // 0: tflite.evaluation.EvaluationStageConfig.specification:type_name -> tflite.evaluation.ProcessSpecification
	3, // 1: tflite.evaluation.EvaluationStageMetrics.process_metrics:type_name -> tflite.evaluation.ProcessMetrics
	2, // [2:2] is the sub-list for method output_type
	2, // [2:2] is the sub-list for method input_type
	2, // [2:2] is the sub-list for extension type_name
	2, // [2:2] is the sub-list for extension extendee
	0, // [0:2] is the sub-list for field type_name
}

func init() { file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_init() }
func file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_init() {
	if File_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto != nil {
		return
	}
	file_tensorflow_lite_tools_evaluation_proto_evaluation_stages_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*EvaluationStageConfig); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*EvaluationStageMetrics); 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_lite_tools_evaluation_proto_evaluation_config_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   2,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_goTypes,
		DependencyIndexes: file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_depIdxs,
		MessageInfos:      file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_msgTypes,
	}.Build()
	File_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto = out.File
	file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_rawDesc = nil
	file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_goTypes = nil
	file_tensorflow_lite_tools_evaluation_proto_evaluation_config_proto_depIdxs = nil
}