* Copyright (c) 2023 Huawei Device Co., Ltd.
* 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.
*/
#include "common.h"
#include <numeric>
#include <inttypes.h>
#include <securec.h>
* getDimInfo: get dim info from data file(int64_t)
* param:
* fp: the testing datafile object
*
* return :
* dim_info: array to store the info of the dim in datafile, like
* [4,3,3,6,3,162(3*3*6*3)],4 is dim size,3,3,6,3 is the dim shape data_size:
* the size of the testing data including the data file
* */
void getDimInfo(FILE *fp, std::vector<int64_t>* dim_info) {
const int MAX_HEAD_SIZE = 50;
uint32_t *dim_buffer = reinterpret_cast<uint32_t *>(malloc(MAX_HEAD_SIZE * sizeof(uint32_t)));
size_t ret = fread(dim_buffer, sizeof(uint32_t), MAX_HEAD_SIZE, fp);
if (ret == 0) {
free(dim_buffer);
return;
}
dim_info->push_back(*dim_buffer);
uint64_t data_size = 1;
uint32_t i = 1;
for (; i <= dim_info->at(0); i++) {
dim_info->push_back(*(dim_buffer + i));
data_size *= *(dim_buffer + i);
}
dim_info->push_back(data_size);
free(dim_buffer);
}
* readTestDataFile: read test date from hisi .t datafile(int64_t)
* param:
* infile: the path of hisi .t datafile
* return:
* dim_info: array to store the info of the dim in datafile, like [4,3,3,6,3],4
* is dim size,3,3,6,3 is the dim shape
* */
void *readTestDataFile(std::string infile, std::vector<int64_t>* dim_info1) {
printf("\n [common.cpp] Loading data from: %s\n", infile.c_str());
FILE *fp;
fp = fopen(infile.c_str(), "r");
if (fp == nullptr) {
printf("ERROR: cant't open file %s\n", infile.c_str());
return nullptr;
} else {
std::vector<int64_t> dim_info;
std::vector<int64_t>* ptr_dim_info = &dim_info;
getDimInfo(fp, ptr_dim_info);
uint64_t data_size = ptr_dim_info->at(ptr_dim_info->size() - 1);
fclose(fp);
fp = fopen(infile.c_str(), "r");
if (fp == nullptr) {
printf("ERROR: cant't open file %s\n", infile.c_str());
return nullptr;
}
uint32_t *memory = reinterpret_cast<uint32_t *>(malloc((dim_info[0] + 1) * sizeof(uint32_t)));
size_t ret = fread(memory, sizeof(uint32_t), (dim_info[0] + 1), fp);
if (ret == 0) {
free(memory);
fclose(fp);
return nullptr;
}
uint32_t *data = reinterpret_cast<uint32_t *>(malloc((data_size) * sizeof(uint32_t)));
size_t ret2 = fread(data, sizeof(uint32_t), data_size, fp);
if (ret2 == 0) {
free(data);
fclose(fp);
return nullptr;
}
free(memory);
fclose(fp);
for (int i = 0; i < dim_info[0]; i++) {
dim_info1->push_back(dim_info[i + 1]);
}
printf("\n [common.cpp] Read test data file Over, get dimInfo as: (");
int count = dim_info1->size();
for (int i = 0; i < count; i++) {
printf("%" PRId64, dim_info1->at(i));
}
printf(")\n");
return data;
}
}
* allclose
* param:
* a:compared file a
* b:compared file b
* count: the count size which will compare
* rtol:
* atol:
* return:
* true or false
* */
bool allclose(float *a, float *b, uint64_t count, float rtol = 1e-05,
float atol = 1e-08, bool isquant = false) {
uint32_t i = 0;
uint32_t fail_count = 0;
float tol = 0;
float tol1 = 0;
float tol2 = 0;
bool nan_occur_in_accuray = false;
float sum = 0.0f;
static float sum_all;
static float maximum = 0;
static float minimum = 0;
static uint64_t c = 0;
if (a == nullptr || b == nullptr) {
return false;
}
for (; i < count; ++i) {
sum = sum + fabs(a[i] - b[i]) / (atol + rtol * fabs(b[i]));
sum_all = sum_all + fabs(a[i] - b[i]) / (atol + rtol * fabs(b[i]));
maximum = std::max(maximum, fabs(a[i] - b[i]) / (atol + rtol * fabs(b[i])));
minimum = std::min(minimum, fabs(a[i] - b[i]) / (atol + rtol * fabs(b[i])));
if (isnan(a[i]) || isinf(a[i])) {
fail_count = fail_count + 1;
nan_occur_in_accuray = true;
if (fail_count < 100) {
printf(" i = %2u: %+f | %+f\n", i, a[i], b[i]);
}
} else if (fabs(a[i] - b[i]) > (atol + rtol * fabs(b[i]))) {
tol = tol + fabs(a[i] - b[i]) / (fabs(b[i]) + 1);
tol1 = tol1 + fabs(a[i] - b[i]);
tol2 = tol2 + fabs(a[i] - b[i]) / fabs(b[i]);
fail_count = fail_count + 1;
if (fail_count < 100) {
printf(" i = %2u: %+f | %+f\n", i, a[i], b[i]);
}
}
if (i == count - 1) {
printf(" ......\n");
printf("\n *** Total fail_count: %u\n", fail_count);
if (fail_count != 0) {
printf("\n fabs(a[i] - b[i])/(fabs(b[i])+1) : %f\n",
tol / fail_count);
printf("\n fabs(a[i] - b[i]) : %f\n", tol1 / fail_count);
printf("\n fabs(a[i] - b[i])/fabs(b[i]) : %f\n", tol2 / fail_count);
}
c = c + count;
printf("\n avg : %f\n", sum / count);
printf("\n min : %f\n", minimum);
printf("\n max : %f\n", maximum);
printf("\n avg_all : %f\n", sum_all / c);
printf("\n");
std::fstream file;
file.open("cout.csv", std::ios::app);
file << ","
<< "1,"
<< "0," << maximum;
if (fail_count == 0) {
file << "," << sum_all / c;
} else {
file << "," << tol / fail_count;
}
file.close();
}
}
if (nan_occur_in_accuray) {
printf("\n[common.cpp] eval output include some NAN/INF\n");
return false;
}
if (fail_count > 0) {
printf("\n *** These data compare failed: atol = %f, rtol = %f\n", atol,
rtol);
printf("\n");
if (isquant) {
if (tol / fail_count < 0.04) {
return true;
}
}
return false;
}
return true;
}
bool allclose_int8(uint8_t *a, uint8_t *b, uint64_t count, float rtol = 1e-05,
float atol = 1e-08, bool isquant = false) {
uint32_t i = 0;
uint32_t fail_count = 0;
float tol = 0;
float tol1 = 0;
float tol2 = 0;
bool nan_occur_in_accuray = false;
float sum = 0.0f;
static float sum_all;
static float maximum = 0;
static float minimum = 0;
static uint64_t c = 0;
if (a == nullptr || b == nullptr) {
return false;
}
for (; i < count; ++i) {
sum = sum + fabs(a[i] - b[i]) / (atol + rtol * fabs(b[i]));
sum_all = sum_all + fabs(a[i] - b[i]) / (atol + rtol * fabs(b[i]));
maximum = std::max(static_cast<double>(maximum),
static_cast<double>(fabs(a[i] - b[i])) / (atol + rtol * fabs(b[i])));
minimum = std::min(static_cast<double>(minimum),
static_cast<double>(fabs(a[i] - b[i])) / (atol + rtol * fabs(b[i])));
if (isnan(a[i]) || isinf(a[i])) {
fail_count = fail_count + 1;
nan_occur_in_accuray = true;
if (fail_count < 100) {
printf(" i = %2u: %+f | %+f\n", i, static_cast<float>(a[i]), static_cast<float>(b[i]));
}
} else if (fabs(a[i] - b[i]) > 0) {
tol = tol + fabs(a[i] - b[i]) / (fabs(b[i]) + 1);
tol1 = tol1 + fabs(a[i] - b[i]);
tol2 = tol2 + fabs(a[i] - b[i]) / fabs(b[i]);
fail_count = fail_count + 1;
printf("%2d", static_cast<int>(fabs(a[i] - b[i])));
printf(" i = %2u: %2d | %2d\n", i, a[i], b[i]);
}
if (i == count - 1) {
printf(" ……\n");
printf("\n *** Total fail_count: %u\n", fail_count);
if (fail_count != 0) {
printf("\n fabs(a[i] - b[i])/(fabs(b[i])+1) : %f\n",
tol / fail_count);
printf("\n fabs(a[i] - b[i]) : %f\n", tol1 / fail_count);
printf("\n fabs(a[i] - b[i])/fabs(b[i]) : %f\n", tol2 / fail_count);
}
c = c + count;
printf("\n avg : %f\n", sum / count);
printf("\n min : %f\n", minimum);
printf("\n max : %f\n", maximum);
printf("\n avg_all : %f\n", sum_all / c);
printf("\n");
std::fstream file;
file.open("cout.csv", std::ios::app);
file << ","
<< "1,"
<< "0," << maximum;
if (fail_count == 0) {
file << "," << sum_all / c;
} else {
file << "," << tol / fail_count;
}
file.close();
}
}
if (nan_occur_in_accuray) {
printf("\n[common.cpp] eval output include some NAN/INF\n");
return false;
}
if (fail_count > 0) {
printf("\n *** These data compare failed: atol = %f, rtol = %f\n", atol,
rtol);
printf("\n");
if (isquant) {
if (tol / fail_count < 0.04) {
return true;
}
}
return false;
}
return true;
}
* compFp32WithTData: compare the data with the data in hisi .t file
* param:
* actualOutputData: the result of ge
* expectedDataFile: the path of hisi .t result file
* rtol:
* atol:
* return:
* true of false
* */
bool compFp32WithTData(float *actualOutputData, const std::string& expectedDataFile,
float rtol = 1e-05, float atol = 1e-08,
bool isquant = false) {
std::vector<int64_t> dim_info;
std::vector<int64_t>* ptr_dim_info = &dim_info;
float *expectedOutputData =
reinterpret_cast<float *>(readTestDataFile(expectedDataFile, ptr_dim_info));
uint32_t i = 0;
uint64_t data_size = 1;
data_size = accumulate(dim_info.begin(), dim_info.end(), 1, std::multiplies<uint64_t>());
printf("[common.cpp] expected output data:");
for (; i < data_size && i < 10; i++) {
printf("%4f ", expectedOutputData[i]);
}
printf("\n");
if (isquant) {
bool ret = allclose(actualOutputData, expectedOutputData, data_size, rtol, atol,
true);
free(expectedOutputData);
return ret;
}
bool ret = allclose(actualOutputData, expectedOutputData, data_size, rtol, atol);
free(expectedOutputData);
return ret;
}
bool compUint8WithTData(uint8_t *actualOutputData, const std::string& expectedDataFile,
float rtol = 1e-05, float atol = 1e-08,
bool isquant = false) {
std::vector<int64_t> dim_info;
std::vector<int64_t>* ptr_dim_info = &dim_info;
auto dataFile = readTestDataFile(expectedDataFile, ptr_dim_info);
if(dataFile == nullptr){
return false;
}
uint8_t *expectedOutputData =
reinterpret_cast<uint8_t *>(dataFile);
uint32_t i = 0;
uint64_t data_size = 1;
data_size = accumulate(dim_info.begin(), dim_info.end(), 1, std::multiplies<uint64_t>());
printf("\n [common.cpp] expected output data:\n");
for (; i < data_size && i < 10; i++) {
printf("%4hhu ", static_cast<unsigned char>(expectedOutputData[i]));
}
printf("\n");
if (isquant) {
bool ret = allclose_int8(actualOutputData, expectedOutputData, data_size, rtol,
atol, true);
free(expectedOutputData);
return ret;
}
bool ret = allclose_int8(actualOutputData, expectedOutputData, data_size, rtol,
atol);
free(expectedOutputData);
return ret;
}
* ReadFile: read file of model
* param:
* file: file location
* size: file size
* return:
* buf of file
* */
char *ReadFile(const char *file, size_t* size) {
printf("[common.cpp] Loading data from: %s\n", file);
std::ifstream ifs(file);
if (!ifs.good()) {
return nullptr;
}
if (!ifs.is_open()) {
ifs.close();
return nullptr;
}
ifs.seekg(0, std::ios::end);
*size = ifs.tellg();
char *buf = new char[*size];
if (buf == nullptr) {
ifs.close();
return nullptr;
}
ifs.seekg(0, std::ios::beg);
ifs.read(buf, *size);
ifs.close();
printf("[common.cpp]Read Binary Data Over, get tensorSize as: %" PRId64 ".\n", static_cast<int64_t>(*size));
return buf;
}
void PackNCHWToNHWCFp32(const char *src, char *dst, int batch, int plane, int channel) {
for (int n = 0; n < batch; n++) {
for (int c = 0; c < channel; c++) {
for (int hw = 0; hw < plane; hw++) {
int nhwc_index = n * channel * plane + hw * channel + c;
int nchw_index = n * channel * plane + c * plane + hw;
dst[nhwc_index * 4] = src[nchw_index * 4];
dst[nhwc_index * 4 + 1] = src[nchw_index * 4 + 1];
dst[nhwc_index * 4 + 2] = src[nchw_index * 4 + 2];
dst[nhwc_index * 4 + 3] = src[nchw_index * 4 + 3];
}
}
}
return;
}
char **TransStrVectorToCharArrays(const std::vector<std::string> &s) {
char **charArr = static_cast<char **>(malloc(s.size() * sizeof(char *)));
for (size_t i = 0; i < s.size(); i++) {
charArr[i] = static_cast<char *>(malloc((s[i].size() + 1)));
errno_t ret = memcpy_s(charArr[i], s[i].size(), s[i].c_str(), s[i].size());
if (ret != EOK) {
printf("memcpy_s failed, ret: %d\n", ret);
}
*(charArr[i] + s[i].size()) = '\0';
}
return charArr;
}
std::vector<std::string> TransCharArraysToStrVector(char **c, const size_t &num) {
std::vector<std::string> str;
for (size_t i = 0; i < num; i++) {
str.push_back(std::string(c[i]));
}
return str;
}