commit tools

This commit is contained in:
fuyangchenghu
2020-06-21 18:42:05 -07:00
parent 968e55c973
commit c1f7c3911f
18 changed files with 1673 additions and 0 deletions
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rm -rf build
mkdir -p build/intermediates/host
cd build/intermediates/host
cmake ../../../src -DCMAKE_CXX_COMPILER=g++ -DCMAKE_SKIP_RPATH=TRUE
make
cd ../../../out
mv main amexec
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//Model_process.h
/**
* @file model_process.h
*
* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
#pragma once
#include "utils.h"
#include "acl/acl.h"
using namespace std;
/**
* ModelProcess
*/
class ModelProcess {
public:
/**
* @brief Constructor
*/
ModelProcess();
/**
* @brief Destructor
*/
~ModelProcess();
/**
* @brief load model from file with mem
* @param [in] modelPath: model path
* @return result
*/
Result LoadModelFromFileWithMem(const char *modelPath);
/**
* @brief unload model
*/
void Unload();
/**
* @brief create model desc
* @return result
*/
Result CreateDesc();
/**
* @brief destroy desc
*/
void DestroyDesc();
/**
* @brief create model input
* @param [in] inputDataBuffer: input buffer
* @param [in] bufferSize: input buffer size
* @return result
*/
Result CreateInput(void *inputDataBuffer, size_t bufferSize);
/**
* @brief destroy input resource
*/
void DestroyInput();
/**
* @brief create output buffer
* @return result
*/
Result CreateOutput();
/**
* @brief destroy output resource
*/
void DestroyOutput();
/**
* @brief model execute
* @return result
*/
Result Execute();
/**
* @brief dump model output result to file
*/
void DumpModelOutputResult();
/**
* @brief get model output result
*/
void OutputModelResult(std::string& s,std::string& modelName,size_t index);
private:
uint32_t modelId_;
size_t modelMemSize_;
size_t modelWeightSize_;
void *modelMemPtr_;
void *modelWeightPtr_;
bool loadFlag_; // model load flag
aclmdlDesc *modelDesc_;
aclmdlDataset *input_;
aclmdlDataset *output_;
};
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//Sample_process.h
/**
* @file sample_process.h
*
* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
#pragma once
#include "utils.h"
#include "acl/acl.h"
using namespace std;
/**
* SampleProcess
*/
class SampleProcess {
public:
/**
* @brief Constructor
*/
SampleProcess();
/**
* @brief Destructor
*/
~SampleProcess();
/**
* @brief init reousce
* @return result
*/
Result InitResource();
/**
* @brief sample process
* @return result
*/
Result Process(vector<string>& params, vector<string>& inputs, size_t idx);
private:
void DestroyResource();
int32_t deviceId_;
aclrtContext context_;
aclrtStream stream_;
};
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//Util.h
/**
* @file utils.h
*
* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
#pragma once
#include <iostream>
#include <sstream>
#include <fstream>
#include <cstring>
#include <string>
#include <map>
#include <vector>
#include <algorithm>
#include <stdio.h>
#include <time.h>
#define INFO_LOG(fmt, args...) fprintf(stdout, "[INFO] " fmt "\n", ##args)
#define WARN_LOG(fmt, args...) fprintf(stdout, "[WARN] " fmt "\n", ##args)
#define ERROR_LOG(fmt, args...) fprintf(stdout, "[ERROR] " fmt "\n", ##args)
using namespace std;
static size_t loop = 1;
typedef enum Result {
SUCCESS = 0,
FAILED = 1
} Result;
/**
* Utils
*/
class Utils {
public:
/**
* @brief create device buffer of file
* @param [in] fileName: file name
* @param [out] fileSize: size of file
* @return device buffer of file
*/
static void *GetDeviceBufferOfFile(std::string fileName, uint32_t &fileSize);
/**
* @brief create buffer of file
* @param [in] fileName: file name
* @param [out] fileSize: size of file
* @return buffer of pic
*/
static void* ReadBinFile(std::string fileName, uint32_t& fileSize);
static void SplitString(std::string& s, std::vector<std::string>& v, char c);
static int str2num(char *str);
static std::string modelName(string& s);
static std::string TimeLine();
static void printCurrentTime();
static void printHelpLetter();
};
#pragma once
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**此工具为模型推理工具**
功能:输入.om模型和模型所需要的输入bin文件,输出模型的输出数据文件
模型必须是通过c7x版本的atc工具转换的om模型,输入bin文件需要符合模型的输入要求
工具为命令行的运行方式,例如
*./amexec --model /home/HwHiAiUser/ljj/colorization.om --input /home/HwHiAiUser/ljj/colorization_input.bin --output /home/HwHiAiUser/ljj/AMEXEC/out/output1 --outfmt TXT --loop 2*
需要注意的是这几个参数的顺序不能颠倒,outfmt与loop为可选参数,默认值分别有BIN、1。其他参数详情可使用--help查询。
运行工具的用户在当前目录需要有创建目录以及执行工具的权限,使用前请自行检查。
dump、profiling以及动态多batch功能暂不支持。
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# Copyright (c) Huawei Technologies Co., Ltd. 2019. All rights reserved.
# CMake lowest version requirement
cmake_minimum_required(VERSION 3.5.1)
# project information
project(AME)
# Compile options
add_compile_options(-std=c++11)
add_definitions(-DENABLE_DVPP_INTERFACE)
# Specify target generation path
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY "../../../out")
set(CMAKE_CXX_FLAGS_DEBUG "-fPIC -O0 -g -Wall")
set(CMAKE_CXX_FLAGS_RELEASE "-fPIC -O2 -Wall")
set(INC_PATH $ENV{DDK_PATH})
if (NOT DEFINED ENV{DDK_PATH})
set(INC_PATH "/usr/local/Ascend")
message(STATUS "set default INC_PATH: ${INC_PATH}")
else ()
message(STATUS "env INC_PATH: ${INC_PATH}")
endif()
set(LIB_PATH $ENV{NPU_HOST_LIB})
if (NOT DEFINED ENV{NPU_HOST_LIB})
set(LIB_PATH "/usr/local/Ascend/acllib/lib64/stub/")
message(STATUS "set default LIB_PATH: ${LIB_PATH}")
else ()
message(STATUS "env LIB_PATH: ${LIB_PATH}")
endif()
# Header path
include_directories(
${INC_PATH}/acllib/include/
../inc/
)
# add host lib path
link_directories(
${LIB_PATH}
)
add_executable(main
utils.cpp
# dvpp_process.cpp
model_process.cpp
# singleOp_process.cpp
sample_process.cpp
main.cpp)
target_link_libraries(main
ascendcl acl_cblas acl_dvpp stdc++)
install(TARGETS main DESTINATION ${CMAKE_RUNTIME_OUTPUT_DIRECTORY})
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//main.cpp
/**
* @file main.cpp
*
* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
#include "sample_process.h"
#include "utils.h"
#include<getopt.h>
using namespace std;
bool f_isTXT = false;
bool g_isDevice = false;
string input_Ftype = ".bin";
string model_Ftype = ".om";
string check = "";
void InitAndCheckParams(int argc, char* argv[], vector<string>& params, vector<string>& inputs)
{
const char *optstring="m::i::o::f::hd::p::l::y::";
int c,deb,index;
struct option opts[]={{"model",required_argument,NULL,'m'},
{"input",required_argument,NULL,'i'},
{"output",required_argument,NULL,'o'},
{"outfmt",required_argument,NULL,'f'},
{"help",no_argument,NULL,1},
{"dumpConf",required_argument,NULL,'d'},
{"profConf",required_argument,NULL,'p'},
{"loop",required_argument,NULL,'l'},
{"dymBatch",required_argument,NULL,'y'},
{0,0,0,0}};
while((c=getopt_long(argc,argv,optstring,opts,&index))!=-1)
{
switch(c)
{
case 'm':
check = optarg;
if (check.find(model_Ftype) != string::npos){
params.push_back(optarg);
break;
}
else {
printf("input model file type is not .om , please check your model type!\n");
exit(0);
}
case 'i':
check = optarg;
if (check.find(input_Ftype) == string::npos){
printf("input data file type is not .bin , please check your input file type!\n");
exit(0);
}
params.push_back(optarg);
Utils::SplitString(params[1], inputs, ',');
break;
case 'o':
params.push_back(optarg);
break;
case 'f':
params.push_back(optarg);
break;
case '?':
printf("unknown paramenter\n");
printf("Execute sample failed.\n");
exit(0);
case 'd':
params.push_back(optarg);
break;
case 'p':
params.push_back(optarg);
break;
case 'l':
loop = Utils::str2num(optarg);
if (loop > 100 || loop < 1)
{
printf("loop must in 1 to 100\n");
exit(0);
}
break;
case 'y':
params.push_back(optarg);
break;
case 1:
Utils::printHelpLetter();
exit(0);
default:
printf("unknown paramenter\n");
printf("Execute sample failed.\n");
exit(0);
}
}
}
int main(int argc, char* argv[])
{
vector<string> params;
vector<string> inputs;
InitAndCheckParams(argc, argv, params, inputs);
printf("******************************\n");
printf("Test Start!\n");
if (params.empty() || inputs.empty()) {
printf("Invalid params.\n");
printf("Execute sample failed.\n");
return FAILED;
}
SampleProcess processSample;
Result ret = processSample.InitResource();
if (ret != SUCCESS) {
ERROR_LOG("Sample init resource failed.");
return FAILED;
}
for (size_t i = 0;i < loop;i++){
std::cout << i << endl;
ret = processSample.Process(params, inputs, i);
if (ret != SUCCESS) {
ERROR_LOG("Sample process failed.");
return FAILED;
}
}
INFO_LOG("Execute sample success.");
printf("Test Finish!\n");
printf("******************************\n");
return SUCCESS;
}
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//Model_procccess.cpp
/**
* @file model_process.cpp
*
* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
#include "model_process.h"
#include "utils.h"
#include <sys/types.h>
#include <sys/stat.h>
#include <dirent.h>
#include <cstddef>
using namespace std;
extern bool g_isDevice;
extern bool f_isTXT;
ModelProcess::ModelProcess() :modelId_(0), modelMemSize_(0), modelWeightSize_(0), modelMemPtr_(nullptr),
modelWeightPtr_(nullptr), loadFlag_(false), modelDesc_(nullptr), input_(nullptr), output_(nullptr)
{
}
ModelProcess::~ModelProcess()
{
Unload();
DestroyDesc();
DestroyInput();
DestroyOutput();
}
Result ModelProcess::LoadModelFromFileWithMem(const char *modelPath)
{
if (loadFlag_) {
ERROR_LOG("has already loaded a model");
return FAILED;
}
aclError ret = aclmdlQuerySize(modelPath, &modelMemSize_, &modelWeightSize_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("query model failed, model file is %s", modelPath);
return FAILED;
}
ret = aclrtMalloc(&modelMemPtr_, modelMemSize_, ACL_MEM_MALLOC_NORMAL_ONLY);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("malloc buffer for mem failed, require size is %zu", modelMemSize_);
return FAILED;
}
ret = aclrtMalloc(&modelWeightPtr_, modelWeightSize_, ACL_MEM_MALLOC_NORMAL_ONLY);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("malloc buffer for weight failed, require size is %zu", modelWeightSize_);
return FAILED;
}
ret = aclmdlLoadFromFileWithMem(modelPath, &modelId_, modelMemPtr_,
modelMemSize_, modelWeightPtr_, modelWeightSize_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("load model from file failed, model file is %s", modelPath);
return FAILED;
}
loadFlag_ = true;
INFO_LOG("load model %s success", modelPath);
return SUCCESS;
}
Result ModelProcess::CreateDesc()
{
modelDesc_ = aclmdlCreateDesc();
if (modelDesc_ == nullptr) {
ERROR_LOG("create model description failed");
return FAILED;
}
aclError ret = aclmdlGetDesc(modelDesc_, modelId_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("get model description failed");
return FAILED;
}
INFO_LOG("create model description success");
return SUCCESS;
}
void ModelProcess::DestroyDesc()
{
if (modelDesc_ != nullptr) {
(void)aclmdlDestroyDesc(modelDesc_);
modelDesc_ = nullptr;
}
}
Result ModelProcess::CreateInput(void *inputDataBuffer, size_t bufferSize)
{
if (input_ == nullptr) {
input_ = aclmdlCreateDataset();
if (input_ == nullptr) {
ERROR_LOG("can't create dataset, create input failed");
return FAILED;
}
}
aclDataBuffer* inputData = aclCreateDataBuffer(inputDataBuffer, bufferSize);
if (inputData == nullptr) {
ERROR_LOG("can't create data buffer, create input failed");
return FAILED;
}
aclError ret = aclmdlAddDatasetBuffer(input_, inputData);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("add input dataset buffer failed");
aclDestroyDataBuffer(inputData);
inputData = nullptr;
return FAILED;
}
return SUCCESS;
}
void ModelProcess::DestroyInput()
{
if (input_ == nullptr) {
return;
}
for (size_t i = 0; i < aclmdlGetDatasetNumBuffers(input_); ++i) {
aclDataBuffer* dataBuffer = aclmdlGetDatasetBuffer(input_, i);
aclDestroyDataBuffer(dataBuffer);
}
aclmdlDestroyDataset(input_);
input_ = nullptr;
}
Result ModelProcess::CreateOutput()
{
if (modelDesc_ == nullptr) {
ERROR_LOG("no model description, create ouput failed");
return FAILED;
}
output_ = aclmdlCreateDataset();
if (output_ == nullptr) {
ERROR_LOG("can't create dataset, create output failed");
return FAILED;
}
size_t outputSize = aclmdlGetNumOutputs(modelDesc_);
for (size_t i = 0; i < outputSize; ++i) {
size_t buffer_size = aclmdlGetOutputSizeByIndex(modelDesc_, i);
void *outputBuffer = nullptr;
aclError ret = aclrtMalloc(&outputBuffer, buffer_size, ACL_MEM_MALLOC_NORMAL_ONLY);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("can't malloc buffer, size is %zu, create output failed", buffer_size);
return FAILED;
}
aclDataBuffer* outputData = aclCreateDataBuffer(outputBuffer, buffer_size);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("can't create data buffer, create output failed");
aclrtFree(outputBuffer);
return FAILED;
}
ret = aclmdlAddDatasetBuffer(output_, outputData);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("can't add data buffer, create output failed");
aclrtFree(outputBuffer);
aclDestroyDataBuffer(outputData);
return FAILED;
}
}
INFO_LOG("create model output success");
return SUCCESS;
}
/*
void ModelProcess::DumpModelOutputResult()
{
stringstream ss;
size_t outputNum = aclmdlGetDatasetNumBuffers(output_);
static int executeNum = 0;
for (size_t i = 0; i < outputNum; ++i) {
ss << "output" << ++executeNum << "_" << i << ".bin";
string outputFileName = ss.str();
FILE *outputFile = fopen(outputFileName.c_str(), "wb");
if (outputFile) {
aclDataBuffer* dataBuffer = aclmdlGetDatasetBuffer(output_, i);
void* data = aclGetDataBufferAddr(dataBuffer);
uint32_t len = aclGetDataBufferSize(dataBuffer);
void* outHostData = NULL;
aclError ret = ACL_ERROR_NONE;
if (!g_isDevice) {
ret = aclrtMallocHost(&outHostData, len);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclrtMallocHost failed, ret[%d]", ret);
return;
}
ret = aclrtMemcpy(outHostData, len, data, len, ACL_MEMCPY_DEVICE_TO_HOST);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclrtMemcpy failed, ret[%d]", ret);
(void)aclrtFreeHost(outHostData);
return;
}
fwrite(outHostData, len, sizeof(char), outputFile);
ret = aclrtFreeHost(outHostData);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclrtFreeHost failed, ret[%d]", ret);
return;
}
} else {
fwrite(data, len, sizeof(char), outputFile);
}
fclose(outputFile);
outputFile = nullptr;
} else {
ERROR_LOG("create output file [%s] failed", outputFileName.c_str());
return;
}
}
INFO_LOG("dump data success");
return;
}
*/
void ModelProcess::OutputModelResult(std::string& s,std::string& modelName,size_t index)
{
const char* temp_s = s.c_str();
if (NULL == opendir(temp_s)){
mkdir(temp_s,0775);
}
std::string T = Utils::TimeLine();
//std::string t = s.c_str()+"/"+T.c_str();
//const char* time = t.c_str();
string times = s+"/"+T+"_"+to_string(index);
const char* time = times.c_str();
cout << time <<endl;
mkdir(time,0775);
if (NULL == opendir(time))
{
ERROR_LOG("current user does not have permission");
exit(0);
}
for (size_t i = 0; i < aclmdlGetDatasetNumBuffers(output_); ++i) {
aclDataBuffer* dataBuffer = aclmdlGetDatasetBuffer(output_, i);
void* data = aclGetDataBufferAddr(dataBuffer);
uint32_t len = aclGetDataBufferSize(dataBuffer);
aclDataType datatype = aclmdlGetOutputDataType(modelDesc_, i);
void *dims = nullptr;
aclmdlIODims *dim = nullptr;
aclError ret = aclrtMallocHost(&dims, sizeof(aclmdlIODims));
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclrtMallocHost failed, ret[%d]", ret);
return;
}
dim = reinterpret_cast<aclmdlIODims*>(dims);
ret = aclmdlGetOutputDims(modelDesc_, i, dim);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclmdlGetOutputDims failed, ret[%d]", ret);
return;
}
void *outHostData = NULL;
ret = ACL_ERROR_NONE;
void *outData = NULL;
if (!g_isDevice) {
ret = aclrtMallocHost(&outHostData, len);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclrtMallocHost failed, ret[%d]", ret);
return;
}
ret = aclrtMemcpy(outHostData, len, data, len, ACL_MEMCPY_DEVICE_TO_HOST);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclrtMemcpy failed, ret[%d]", ret);
return;
}
switch (datatype)
{
case 0:
outData = reinterpret_cast<float*>(outHostData);
break;
case 1:
outData = reinterpret_cast<aclFloat16*>(outHostData);
break;
case 2:
outData = reinterpret_cast<int8_t*>(outHostData);
break;
case 3:
outData = reinterpret_cast<int*>(outHostData);
break;
case 4:
outData = reinterpret_cast<uint8_t*>(outHostData);
break;
case 6:
outData = reinterpret_cast<int16_t*>(outHostData);
break;
case 7:
outData = reinterpret_cast<uint16_t*>(outHostData);
break;
case 8:
outData = reinterpret_cast<uint32_t*>(outHostData);
break;
case 9:
outData = reinterpret_cast<int64_t*>(outHostData);
break;
case 10:
outData = reinterpret_cast<uint64_t*>(outHostData);
break;
case 11:
outData = reinterpret_cast<double*>(outHostData);
break;
case 12:
outData = reinterpret_cast<bool*>(outHostData);
break;
default :
printf("undefined data type!\n");
break;
}
} else {
outData = reinterpret_cast<float*>(data);
}
if (f_isTXT)
{
ofstream outstr(times+"/"+modelName+"_output_"+to_string(i)+".txt", ios::out);
switch (datatype)
{
case 0:
for (int i = 0; i < len/sizeof(float); i++)
{
float out = *((float*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 1:
for (int i = 0; i < len/sizeof(aclFloat16); i++)
{
aclFloat16 out = *((aclFloat16*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 2:
for (int i = 0; i < len/sizeof(int8_t); i++)
{
int8_t out = *((int8_t*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 3:
for (int i = 0; i < len/sizeof(int); i++)
{
int out = *((int*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 4:
for (int i = 0; i < len/sizeof(uint8_t); i++)
{
uint8_t out = *((uint8_t*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 6:
for (int i = 0; i < len/sizeof(int16_t); i++)
{
int16_t out = *((int16_t*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 7:
for (int i = 0; i < len/sizeof(uint16_t); i++)
{
uint16_t out = *((uint16_t*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 8:
for (int i = 0; i < len/sizeof(uint32_t); i++)
{
uint32_t out = *((uint32_t*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 9:
for (int i = 0; i < len/sizeof(int64_t); i++)
{
int64_t out = *((int64_t*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 10:
for (int i = 0; i < len/sizeof(uint64_t); i++)
{
uint64_t out = *((uint64_t*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 11:
for (int i = 0; i < len/sizeof(double); i++)
{
double out = *((double*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
case 12:
for (int i = 0; i < len/sizeof(bool); i++)
{
int out = *((bool*)outData+i);
outstr << out << " ";
for (int j = 0; j < dim->dimCount; j++)
{
if (i !=0 && i%dim->dims[j] == 0 && dim->dims[j] > 10)
{outstr << "\n" ;}
}
}
break;
default :
printf("undefined data type!\n");
break;
}
outstr.close();
}
else
{
ofstream outstr(times+"/"+modelName+"_output_"+to_string(i)+".bin", ios::out|ios::binary);
outstr.write((char*)outData, len);
outstr.close();
}
if (!g_isDevice) {
ret = aclrtFreeHost(outHostData);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("aclrtFreeHost failed, ret[%d]", ret);
return;
}
}
}
INFO_LOG("output data success");
return;
}
void ModelProcess::DestroyOutput()
{
if (output_ == nullptr) {
return;
}
for (size_t i = 0; i < aclmdlGetDatasetNumBuffers(output_); ++i) {
aclDataBuffer* dataBuffer = aclmdlGetDatasetBuffer(output_, i);
void* data = aclGetDataBufferAddr(dataBuffer);
(void)aclrtFree(data);
(void)aclDestroyDataBuffer(dataBuffer);
}
(void)aclmdlDestroyDataset(output_);
output_ = nullptr;
}
Result ModelProcess::Execute()
{
aclError ret = aclmdlExecute(modelId_, input_, output_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("execute model failed, modelId is %u", modelId_);
return FAILED;
}
INFO_LOG("model execute success");
return SUCCESS;
}
void ModelProcess::Unload()
{
if (!loadFlag_) {
WARN_LOG("no model had been loaded, unload failed");
return;
}
aclError ret = aclmdlUnload(modelId_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("unload model failed, modelId is %u", modelId_);
}
if (modelDesc_ != nullptr) {
(void)aclmdlDestroyDesc(modelDesc_);
modelDesc_ = nullptr;
}
if (modelMemPtr_ != nullptr) {
aclrtFree(modelMemPtr_);
modelMemPtr_ = nullptr;
modelMemSize_ = 0;
}
if (modelWeightPtr_ != nullptr) {
aclrtFree(modelWeightPtr_);
modelWeightPtr_ = nullptr;
modelWeightSize_ = 0;
}
loadFlag_ = false;
INFO_LOG("unload model syccess, model Id is %u", modelId_);
}
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//Sample_process.cpp
/**
* @file sample_process.cpp
*
* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
#include "sample_process.h"
#include "model_process.h"
#include "acl/acl.h"
#include "utils.h"
using namespace std;
extern bool g_isDevice;
extern bool f_isTXT;
SampleProcess::SampleProcess() :deviceId_(0), context_(nullptr), stream_(nullptr)
{
}
SampleProcess::~SampleProcess()
{
DestroyResource();
}
Result SampleProcess::InitResource()
{
// ACL init
const char *aclConfigPath = "";
aclError ret = aclInit(aclConfigPath);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("acl init failed");
return FAILED;
}
INFO_LOG("acl init success");
// open device
ret = aclrtSetDevice(deviceId_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("acl open device %d failed", deviceId_);
return FAILED;
}
INFO_LOG("open device %d success", deviceId_);
// create context (set current)
ret = aclrtCreateContext(&context_, deviceId_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("acl create context failed");
return FAILED;
}
INFO_LOG("create context success");
// create stream
ret = aclrtCreateStream(&stream_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("acl create stream failed");
return FAILED;
}
INFO_LOG("create stream success");
// get run mode
aclrtRunMode runMode;
ret = aclrtGetRunMode(&runMode);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("acl get run mode failed");
return FAILED;
}
g_isDevice = (runMode == ACL_DEVICE);
INFO_LOG("get run mode success");
return SUCCESS;
}
Result SampleProcess::Process(vector<string>& params, vector<string>& input_files, size_t idx)
{
// model init
ModelProcess processModel;
const char* omModelPath = params[0].c_str();
std::string output_path = params[2].c_str();
const char* outfmt = params[3].c_str();
const char* fmt_TXT = "TXT";
f_isTXT = (strcmp(outfmt,fmt_TXT)==0);
const char* dumpConf = params[4].c_str();
const char* profConf = params[5].c_str();
const char* dymBatch = params[6].c_str();
std::string modelPath = params[0].c_str();
std::string modelName = Utils::modelName(modelPath);
Result ret = processModel.LoadModelFromFileWithMem(omModelPath);
if (ret != SUCCESS) {
ERROR_LOG("load model from file failed");
return FAILED;
}
ret = processModel.CreateDesc();
if (ret != SUCCESS) {
ERROR_LOG("create model description failed");
return FAILED;
}
ret = processModel.CreateOutput();
if (ret != SUCCESS) {
ERROR_LOG("create model output failed");
return FAILED;
}
vector<void*> picDevBuffer(input_files.size(),nullptr);
for (size_t index = 0; index < input_files.size(); ++index) {
INFO_LOG("start to process file:%s", input_files[index].c_str());
// model process
uint32_t devBufferSize;
picDevBuffer[index] = Utils::GetDeviceBufferOfFile(input_files[index], devBufferSize);
if (picDevBuffer[index] == nullptr) {
ERROR_LOG("get pic device buffer failed,index is %zu", index);
return FAILED;
}
ret = processModel.CreateInput(picDevBuffer[index], devBufferSize);
if (ret != SUCCESS) {
ERROR_LOG("model create input failed");
for (size_t i = 0; i <= index; i++) {
aclrtFree(picDevBuffer[i]);
}
return FAILED;
}
// loop end
printf("Inference begin time: ");
Utils::printCurrentTime();
ret = processModel.Execute();
printf("Inference end time: ");
Utils::printCurrentTime();
if (ret != SUCCESS) {
ERROR_LOG("model execute failed");
for (size_t i = 0; i < index; i++) {
aclrtFree(picDevBuffer[i]);
}
return FAILED;
}
// print the top 5 confidence values with indexes.use function DumpModelOutputResult
// if want to dump output result to file in the current directory
//processModel.DumpModelOutputResult();
processModel.OutputModelResult(output_path,modelName,idx);
processModel.DestroyInput();
}
// release model input buffer
for (size_t i = 0; i < input_files.size(); i++) {
aclrtFree(picDevBuffer[i]);
}
return SUCCESS;
}
void SampleProcess::DestroyResource()
{
aclError ret;
if (stream_ != nullptr) {
ret = aclrtDestroyStream(stream_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("destroy stream failed");
}
stream_ = nullptr;
}
INFO_LOG("end to destroy stream");
if (context_ != nullptr) {
ret = aclrtDestroyContext(context_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("destroy context failed");
}
context_ = nullptr;
}
INFO_LOG("end to destroy context");
ret = aclrtResetDevice(deviceId_);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("reset device failed");
}
INFO_LOG("end to reset device is %d", deviceId_);
ret = aclFinalize();
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("finalize acl failed");
}
INFO_LOG("end to finalize acl");
}
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//Util.cpp
/**
* @file utils.cpp
*
* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*/
#include "utils.h"
#include <sys/time.h>
#include "acl/acl.h"
using namespace std;
extern bool g_isDevice;
extern bool f_isTXT;
void* Utils::ReadBinFile(std::string fileName, uint32_t &fileSize)
{
std::ifstream binFile(fileName, std::ifstream::binary);
if (binFile.is_open() == false) {
ERROR_LOG("open file %s failed", fileName.c_str());
return nullptr;
}
binFile.seekg(0, binFile.end);
uint32_t binFileBufferLen = binFile.tellg();
if (binFileBufferLen == 0) {
ERROR_LOG("binfile is empty, filename is %s", fileName.c_str());
binFile.close();
return nullptr;
}
binFile.seekg(0, binFile.beg);
void* binFileBufferData = nullptr;
aclError ret = ACL_ERROR_NONE;
if (!g_isDevice) {
ret = aclrtMallocHost(&binFileBufferData, binFileBufferLen);
if (binFileBufferData == nullptr) {
ERROR_LOG("malloc binFileBufferData failed");
binFile.close();
return nullptr;
}
} else {
ret = aclrtMalloc(&binFileBufferData, binFileBufferLen, ACL_MEM_MALLOC_NORMAL_ONLY);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("malloc device buffer failed. size is %u", binFileBufferLen);
binFile.close();
return nullptr;
}
}
binFile.read(static_cast<char *>(binFileBufferData), binFileBufferLen);
binFile.close();
fileSize = binFileBufferLen;
return binFileBufferData;
}
void* Utils::GetDeviceBufferOfFile(std::string fileName, uint32_t &fileSize)
{
uint32_t inputHostBuffSize = 0;
void* inputHostBuff = Utils::ReadBinFile(fileName, inputHostBuffSize);
if (inputHostBuff == nullptr) {
return nullptr;
}
if (!g_isDevice) {
void *inBufferDev = nullptr;
uint32_t inBufferSize = inputHostBuffSize;
aclError ret = aclrtMalloc(&inBufferDev, inBufferSize, ACL_MEM_MALLOC_NORMAL_ONLY);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("malloc device buffer failed. size is %u", inBufferSize);
aclrtFreeHost(inputHostBuff);
return nullptr;
}
ret = aclrtMemcpy(inBufferDev, inBufferSize, inputHostBuff, inputHostBuffSize, ACL_MEMCPY_HOST_TO_DEVICE);
if (ret != ACL_ERROR_NONE) {
ERROR_LOG("memcpy failed. device buffer size is %u, input host buffer size is %u",
inBufferSize, inputHostBuffSize);
aclrtFree(inBufferDev);
aclrtFreeHost(inputHostBuff);
return nullptr;
}
aclrtFreeHost(inputHostBuff);
fileSize = inBufferSize;
return inBufferDev;
} else {
fileSize = inputHostBuffSize;
return inputHostBuff;
}
}
void Utils::SplitString(std::string& s, std::vector<std::string>& v, char c)
{
std::string::size_type pos1, pos2;
pos2 = s.find(c);
pos1 = 0;
while(std::string::npos != pos2)
{
v.push_back(s.substr(pos1, pos2-pos1));
pos1 = pos2 + 1;
pos2 = s.find(c, pos1);
}
if(pos1 != s.length())
v.push_back(s.substr(pos1));
}
int Utils::str2num(char *str)
{
int n = 0;
int flag = 0;
while(*str >= '0' && *str <= '9')
{
n = n*10 + (*str - '0');
str++;
}
if(flag == 1)
{
n = -n;
}
return n;
}
std::string Utils::modelName(string& s)
{
string::size_type position1,position2;
position1 = s.find_last_of("/");
if (position1 == s.npos)
{
position1 = 0;
}
position2 = s.find_last_of(".");
std::string modelName = s.substr(position1,position2-position1);
return modelName;
}
std::string Utils::TimeLine()
{
time_t currentTime = time(NULL);
char chCurrentTime[64];
strftime(chCurrentTime, sizeof(chCurrentTime), "%Y%m%d_%H%M%S", localtime(&currentTime));
std::string stCurrentTime = chCurrentTime;
return stCurrentTime;
}
void Utils::printCurrentTime()
{
char szBuf[256] = {0};
struct timeval tv;
struct timezone tz;
struct tm *p;
gettimeofday(&tv, &tz);
p = localtime(&tv.tv_sec);
printf("%02d-%02d-%02d %02d:%02d:%02d.%06ld\n", p->tm_year + 1900, p->tm_mon + 1, p->tm_mday, p->tm_hour, p->tm_min, p->tm_sec, tv.tv_usec);
}
void Utils::printHelpLetter()
{
cout<< "generate offline model inference output file example:" << endl;
cout<< "./amexec --model /home/HwHiAiUser/ljj/colorization.om --input /home/HwHiAiUser/ljj/colorization_input.bin --output /home/HwHiAiUser/ljj/AMEXEC/out/output1 --outfmt TXT --loop 2" << endl << endl;
cout<< "arguments explain:" << endl;
cout<< " --model Model file path" << endl;
cout<< " --input Input data path(only accept binary data file) If there are several file, please seprate by ','" << endl;
cout<< " --output Output path(User needs to have permission to create directories)" << endl;
cout<< " --outfmt Output file format (TXT or BIN, default BIN)" << endl;
cout<< " --loop loop time(must in 1 to 100)" << endl;
cout<< " --dumpConf dump configure file path (Do not support now)" << endl;
cout<< " --profConf profiling configure file path (Do not support now)" << endl;
cout<< " --dymBatch dynamic batch (Do not support now)" << endl << endl << endl;
cout<< "NOTECE: " << endl;
cout<< " The order of parameter must follow in --model --input --output --outfmt --loop " << endl;
}
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# imgtobin
imgtobin能够生成模型推理所需的输入数据,以.bin格式保存。
有两类数据,一类是图片数据,另一类是模型需要的第二个输入数据,如fasterrcnn的第二个输入是图片的shape信息。
## 使用方法
-i后跟**目录**表示转换图片,-i后跟**文件路径**表示转换第二类数据。
### 第一类图片:
- 脚本会将 -i 后指定的图片目录下的所有图片按参数设置做相应的预处理,并以"文件名.bin"命名保存在-o指定的输出目录下。
```
python3 imgtobin.py -i ./images -w 416 -h 416 -f BGR -a NCHW -m [104,117,123] -c [1,1,1] -o ./out
```
### 第二类:
- 第二类数据,需要新建一个文件,文件模板为test.txtinput_node为数据,shape为数据的shape信息。
- 第二类数据只需 -i、-t、-o三个参数。
- 参数 -i 需要指定文件的路径,-t 需要指定数据类型,-o指定输出目录。
```
python3 imgtobin.py -i ./test.txt -t uint8 -o ./out
```
## 参数说明
| 参数名 | 说明 |
| - | - |
| -i | 图片的输入目录或第二个输入的文件路径 |
| -w | 输出图片宽 |
| -h | 输出图片高 |
| -f | 输出图片色彩格式,支持(BGR/RGB/YUV/GRAY |
| -a | 输出图片格式,支持(NCHW/NHWC) |
| -t | 图片或第二个数据的输出数据类型,支持(float32/uint8/int32/uint32 |
| -m | 减均值,默认为[0,0,0],顺序与图片色彩格式保持一致 <br>当色彩格式为yuv时,设置[0,0] <br>当色彩格式为gray时,设置[0] |
| -c | 归一化,默认为 [1,1,1],顺序与图片色彩格式保持一致 <br>当色彩格式为yuv时,设置[1,1] <br>当色彩格式为gray时,设置[1] |
| -o | 输出目录 |
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# !/usr/bin/env python3
# -*- coding: UTF-8 -*-
#
# =======================================================================
#
# Copyright (C) 2018, Hisilicon Technologies Co., Ltd. All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1 Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2 Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# 3 Neither the names of the copyright holders nor the names of the
# contributors may be used to endorse or promote products derived from this
# software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
# =======================================================================
#
import argparse
import configparser
import cv2 as cv
import numpy as np
import json
import os
import re
import sys
def get_args():
parser = argparse.ArgumentParser(
conflict_handler='resolve',
description='''eg1: python3 imgtobin.py
-i ./images -w 416 -h 416 -f BGR -a NCHW -m [104,117,123] -o ./out
eg2: python3 imgtobin.py -i ./test.txt -t uint8''')
parser.add_argument('-i', '--input', required=True, type=str, \
help='folder of input image or file of other input.')
parser.add_argument('-w', '--width', type=int, \
help='resized image width before inference.')
parser.add_argument('-h', '--height', type=int, \
help='resized image height before inference.')
parser.add_argument('-f', '--output_image_format', default='BGR', type=str, \
help='output image format in (BGR/RGB/YUV/GRAY).')
parser.add_argument('-a', '--output_format', default='NCHW', type=str, \
help='output format in (NCHW/NHWC).')
parser.add_argument('-t', '--output_type', required=True, type=str, \
help='output type in (float32/uint8/int32/uint32).')
parser.add_argument('-m', '--mean', default='[0, 0, 0]', \
help='reduce mean for each channel.')
parser.add_argument('-c', '--coefficient', default='[1, 1, 1]', \
help='multiplying coefficients for each channel.')
parser.add_argument('-o', '--output', default='./', \
help='output path.')
return parser.parse_args()
def eprint(*args, **kwargs):
"""print error message to stderr
"""
print(*args, file=sys.stderr, **kwargs)
def check_args(args):
"""check console parameters according to restrictions.
:return: True or False
"""
check_flag = True
is_dir = True
if os.path.isdir(args.input):
#print(args)
if not os.listdir(args.input):
eprint('[ERROR] input image path=%r is empty.' % path)
check_flag = False
elif os.path.isfile(args.input):
is_dir = False
else:
eprint('[ERROR] input path=%r does not exist.' % path)
check_flag = False
if args.output_image_format not in ('BGR','RGB', 'YUV', 'GRAY'):
eprint("ERROR:Convert to %d is not support"%(args.output_image_format))
check_flag = False
# if os.path.isfile(args.output_path):
# eprint('[ERROR] argument output_path should be a folder.')
# elif not os.path.exists(args.output_path):
# os.makedirs(args.output_path)
# if not 16 <= args.model_width <= 4096:
# eprint('[ERROR] resized image width should between 16 and 4096.')
# check_flag = False
# if not 16 <= args.model_height <= 4096:
# eprint('[ERROR] resized image height should between 16 andd 4096.')
# check_flag = False
return check_flag, is_dir
def convert_img(args, input_img):
if args.output_image_format == 'BGR':
converted_input_img = input_img
elif args.output_image_format == 'RGB':
converted_input_img = cv.cvtColor(input_img, cv.COLOR_BGR2RGB)
elif args.output_image_format == 'YUV':
if input_img.shape[0] % 2 == 1:
if input_img.shape[1] % 2 == 1:
input_img = cv.resize(input_img, ((input_img.shape[0] + 1), (input_img.shape[1] + 1)))
else:
input_img = cv.resize(input_img, ((input_img.shape[0] + 1), input_img.shape[1]))
elif input_img.shape[1] % 2 == 1:
input_img = cv.resize(input_img, (input_img.shape[0], input_img.shape[1] + 1))
converted_input_img = cv.cvtColor(input_img, cv.COLOR_BGR2YUV_I420)
elif args.output_image_format == 'GRAY':
converted_input_img = cv.cvtColor(input_img, cv.COLOR_BGR2GRAY)
return converted_input_img
def resize_img(args, input_img):
resized_img = cv.resize(input_img, (args.width, args.height))
return resized_img
def change_type(args, input_img):
if args.output_type == 'float32':
change_type_img = input_img.astype(np.float32)
elif args.output_type == 'int32':
change_type_img = input_img.astype(np.int32)
elif args.output_type == 'uint32':
change_type_img = input_img.astype(np.uint32)
else:
change_type_img = input_img.astype(np.uint8)
return change_type_img
def mean(args, input_img):
if isinstance (args.mean, str):
args.mean = json.loads(args.mean)
input_img = input_img.astype(np.float32)
if args.output_image_format == 'GRAY':
input_img[:, :] -= args.mean[0]
elif args.output_image_format in ('BGR', 'RGB'):
input_img[:, :, 0] -= args.mean[0]
input_img[:, :, 1] -= args.mean[1]
input_img[:, :, 2] -= args.mean[2]
else:
input_img[: int(args.width / 1.5), :] -= args.mean[0]
input_img[int(args.width / 1.5) :, :: 2] -= args.mean[1]
input_img[int(args.width / 1.5) :, 1: 2] -= args.mean[2]
return input_img
def coefficient(args, input_img):
if isinstance (args.coefficient, str):
args.coefficient = json.loads(args.coefficient)
input_img = input_img.astype(np.float32)
if args.output_image_format == 'GRAY':
input_img[:, :] *= args.coefficient[0]
elif args.output_image_format in ('BGR', 'RGB'):
input_img[:, :, 0] *= args.coefficient[0]
input_img[:, :, 1] *= args.coefficient[1]
input_img[:, :, 2] *= args.coefficient[2]
else:
input_img[: int(args.width / 1.5), :] *= args.coefficient[0]
input_img[int(args.width / 1.5) :, :: 2] *= args.coefficient[1]
input_img[int(args.width / 1.5) :, 1: 2] *= args.coefficient[2]
return input_img
def change_format(args, input_img):
if args.output_format == 'NCHW':
if args.output_image_format in ('RGB', 'BGR'):
change_format_img = input_img.transpose(2,0,1).copy()
return change_format_img
return input_img
def mkdir_output(args):
if not os.path.exists(args.output):
os.makedirs(args.output)
return
def main():
"""main function to receive params them change data to bin.
"""
args = get_args()
ret,is_dir = check_args(args)
if ret:
if is_dir:
img_names = os.listdir(args.input)
for img_name in img_names:
img_path = os.path.join(args.input, img_name)
input_img = cv.imread(img_path)
if args.output_image_format == 'YUV':
resized_img1 = resize_img(args, input_img)
converted_img = convert_img(args, resized_img1)
mean_img = mean(args, converted_img)
else:
converted_img = convert_img(args, input_img)
resized_img = resize_img(args, converted_img)
mean_img = mean(args, resized_img)
coefficient_img = coefficient(args, mean_img)
change_type_img = change_type(args, coefficient_img)
change_format_img = change_format(args, change_type_img)
out_path = os.path.join(args.output, os.path.splitext(img_name)[0] + ".bin")
mkdir_output(args)
change_format_img.tofile(out_path)
else:
config = configparser.ConfigParser()
config.read(args.input)
input_node = json.loads(config['baseconf']['input_node'])
shape = json.loads(config['baseconf']['shape'])
input_node_np = np.array(input_node)
change_type_img_info = change_type(args, input_node_np)
img_info = np.reshape(change_type_img_info, shape)
out_path = os.path.join(args.output, os.path.splitext(args.input)[0] + ".bin")
mkdir_output(args)
img_info.tofile(out_path)
if __name__ == '__main__':
main()
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[baseconf]
input_node=[1200,1150,416,416]
shape=[1,4]