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//Tencent is pleased to support the open source community by making FeatherCNN available. | |
//Copyright (C) 2018 THL A29 Limited, a Tencent company. All rights reserved. | |
//Licensed under the BSD 3-Clause License (the "License"); you may not use this file except | |
//in compliance with the License. You may obtain a copy of the License at | |
// | |
//https://opensource.org/licenses/BSD-3-Clause | |
// | |
//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. | |
#include <net.h> | |
#include <stdio.h> | |
#include <stdlib.h> | |
#include <string> | |
#include <string.h> | |
#include <iostream> | |
#include <fstream> | |
using namespace std; | |
using namespace feather; | |
void PrintBlobData(feather::Net *forward_net, std::string blob_name, int n) | |
{ | |
size_t data_size; | |
forward_net->GetBlobDataSize(&data_size, blob_name); | |
float *arr = (float*) malloc(sizeof(float) * data_size); | |
forward_net->ExtractBlob(arr, blob_name); | |
size_t len = 0; | |
if (n <= 0) | |
len = data_size; | |
else | |
len = n; | |
for (int i = 0; i < len; ++i) | |
{ | |
printf("%f\t", arr[i]); | |
} | |
printf("\n"); | |
free(arr); | |
} | |
void SplitString(const std::string &input, const std::string &delim, std::vector<std::string> &parts) | |
{ | |
for (char *s = strtok((char *)input.data(), (char *)delim.data()); s; s = strtok(NULL, (char *)delim.data())) | |
{ | |
if (s != NULL) | |
{ | |
parts.push_back(s); | |
} | |
} | |
} | |
void test(std::string model_path, std::string data_path, int loop, int num_threads) | |
{ | |
printf("/nPOPO Edit :) /n"); | |
printf("++++++Start Loader++++++\n"); | |
//Initializing Object : forward_net | |
feather::Net forward_net(num_threads); | |
forward_net.InitFromPath(model_path.c_str()); | |
size_t input_size = 224 * 224 * 3 ; | |
float *input = new float[input_size * 20]; | |
std::ifstream in(data_path.c_str()); | |
std::string line; | |
std::string delim = "\t\r\n <>()"; | |
size_t count = 0; | |
double time = 0; | |
while (getline(in, line)) | |
{ | |
for (int i = 0; i < 1; ++i) | |
{ | |
std::vector<std::string> parts; | |
SplitString(line, delim, parts); | |
printf("input size %ld parts size %ld\n", input_size, parts.size()); | |
for (size_t i = 0; i != parts.size(); ++i) | |
{ | |
input[i] = atof(parts[i].c_str()); | |
} | |
for (int i = 0; i < loop; ++i) | |
{ | |
timespec tpstart, tpend; | |
clock_gettime(CLOCK_MONOTONIC, &tpstart); | |
//Forware Propagation aka Prediction | |
forward_net.Forward(input); | |
clock_gettime(CLOCK_MONOTONIC, &tpend); | |
double timedif = 1000000.0 * (tpend.tv_sec - tpstart.tv_sec) + (tpend.tv_nsec - tpstart.tv_nsec) / 1000.0; | |
printf("Prediction costs %lfms\n", timedif / 1000.0); | |
if (i > 0) | |
time += timedif; | |
} | |
printf("--------Average runtime %lfmsi------\n", time / (loop - 1) / 1000.0); | |
printf("POPO Mode :)"); | |
forward_net.PrintBlobData(1); | |
} | |
break; | |
} | |
if (input) | |
{ | |
delete [] input; | |
input = NULL; | |
} | |
} | |
int main(int argc, char* argv[]) | |
{ | |
if (argc == 5) | |
{ | |
size_t num_threads = atoi(argv[4]); | |
size_t loop = atoi(argv[3]); | |
test(std::string(argv[1]), std::string(argv[2]), loop, num_threads); | |
} | |
else | |
{ | |
fprintf(stderr, "Usage: ./testRun [feathermodel] [input_data] [loop_count] [num_threads]\n"); | |
return 0; | |
} | |
return 0; | |
} |
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