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luoliang
2022-07-22 17:14:48 +08:00
commit b5c1dcf4d8
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102
acl/test/test_gemm.cpp Normal file
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#include "test_common.hpp"
#include "test_perf.hpp"
void PERF_TEST::Test_MatMul(aclCxt *acl_context)
{
int val, type;
int valmax = 8192;
double begin, end, time, acltime;
Common_Test test;
type = CV_32FC1;
for (val = 8; val <= valmax; val *= 2)
{
Mat mat_src(val, val, type);
Mat mat_src1(val, val, type);
Mat mat_dest(val, val, type);
Mat mat_dest1(val, val, type);
test.SetDataRange(mat_src, 32);
test.SetDataRange(mat_src1, 32);
test.SetDataRange(mat_dest, 32);
aclMat aclmat_src(val, val, type, mat_src.data, acl_context);
aclMat aclmat_src1(val, val, type, mat_src1.data, acl_context);
aclMat aclmat_dest(val, val, type, mat_dest.data, acl_context);
int n = 100;
begin = static_cast<double>(getTickCount());
while (n--)
mat_dest = mat_src * mat_src1;
end = static_cast<double>(getTickCount());
time = (end - begin) / getTickFrequency();
n = 100;
begin = static_cast<double>(getTickCount());
while (n--)
MatMul(aclmat_src1, aclmat_src, aclmat_dest);
end = static_cast<double>(getTickCount());
acltime = (end - begin) / getTickFrequency();
aclmat_dest.download(mat_dest1);
bool ret = test.Test_Diff(mat_dest, mat_dest1);
ASSERT_TRUE(ret);
if (val < 128)
cout << "Shape: " << val << " x " << val << "\t\t";
else
cout << "Shape: " << val << " x " << val << "\t";
cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
}
}
void PERF_TEST::Test_Convolution(aclCxt *acl_context)
{
int val, type;
int valmax = 8192;
double begin, end, time, acltime;
Common_Test test;
type = CV_32FC1;
for (val = 8; val <= valmax; val *= 2)
{
Mat mat_src(val, val, type, Scalar{1, 2});
Mat mat_kernel(3, 3, type, Scalar(1, 4));
Mat mat_dest(val, val, type, Scalar{6});
aclMat aclmat_src(val, val, type, mat_src.data, acl_context);
aclMat aclmat_kernel(3, 3, type, mat_kernel.data, acl_context);
aclMat aclmat_dest(val, val, type, mat_dest.data, acl_context);
int n = 1;
begin = static_cast<double>(getTickCount());
while (n--)
filter2D(mat_src, mat_dest, -1, mat_kernel);
end = static_cast<double>(getTickCount());
time = (end - begin) / getTickFrequency();
n = 1;
begin = static_cast<double>(getTickCount());
vector<int64_t> strides{1, 1, 1, 1};
vector<int64_t> pads{1, 1, 1, 1};
while (n--)
Convolution(aclmat_src, aclmat_kernel, aclmat_dest, strides, pads);
end = static_cast<double>(getTickCount());
Mat mat_dest1(aclmat_dest.rows, aclmat_dest.cols, type);
acltime = (end - begin) / getTickFrequency();
aclmat_dest.download(mat_dest1);
cout << mat_dest << endl;
cout << mat_dest1 << endl;
/*
bool ret = test.Test_Diff(mat_dest, mat_dest1);
ASSERT_TRUE(ret);
*/
if (val < 128)
cout << "Shape: " << val << " x " << val << "\t\t";
else
cout << "Shape: " << val << " x " << val << "\t";
cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
}
}