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139 lines
2.0 KiB
139 lines
2.0 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/utils/Util.h"
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#include <stdio.h>
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#include "hl_gpu.h"
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#include "paddle/gserver/gradientmachines/GradientMachine.h"
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#include "TrainerConfig.pb.h"
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#include <stdlib.h>
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#include <fstream>
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#include "ParameterUpdater.h"
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namespace paddle {
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/**
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* TesterConfig
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* general configs for training
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*/
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struct TesterConfig {
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/**
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* indicate test period
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*/
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int testPeriod;
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/**
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* indicate whether to save previous batch state
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*/
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bool prevBatchState;
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/**
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* log period
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*/
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int logPeriod;
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/**
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* loadsave parameters in pserver
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*/
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bool loadsaveParametersInPserver;
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/**
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* feat file
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*/
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std::string featFile;
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/**
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* predict output dir
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*/
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std::string predictOutputDir;
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/**
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* trianer id
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*/
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int trainerId;
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/**
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* distribute test
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*/
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bool distributeTest;
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/**
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* training state
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*/
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MachineState* trainState;
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/**
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* test state
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*/
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MachineState* testState;
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/**
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* model list
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*/
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std::string modelList;
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/**
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* test passes
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*/
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int testPass;
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/**
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* num passes
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*/
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int numPasses;
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/**
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* saving period
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*/
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int savingPeriod;
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/**
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* test wait
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*/
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int testWait;
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/**
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* init model path
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*/
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std::string initModelPath;
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/**
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* save only one
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*/
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bool saveOnlyOne;
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/**
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* testing mode
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*/
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bool testing;
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/**
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* mode
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*/
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int mode;
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/**
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* config loc
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*/
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std::string config;
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};
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} // namespace paddle
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