1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
|
#include "../test.h"
#include "../../aligned.h"
#include "../../kernels.h"
#include <numeric>
namespace intgemm {
template <CPUType CPUType_, typename Type_>
void kernel_multiply_test() {
if (kCPU < CPUType_)
return;
using vec_t = vector_t<CPUType_, Type_>;
constexpr static auto VECTOR_LENGTH = sizeof(vec_t) / sizeof(Type_);
AlignedVector<Type_> input1(VECTOR_LENGTH);
AlignedVector<Type_> input2(VECTOR_LENGTH);
AlignedVector<Type_> output(VECTOR_LENGTH);
std::iota(input1.begin(), input1.end(), -int(VECTOR_LENGTH / 2));
std::iota(input2.begin(), input2.end(), -int(VECTOR_LENGTH / 3));
*output.template as<vec_t>() = kernels::multiply<Type_>(*input1.template as<vec_t>(), *input2.template as<vec_t>());
for (std::size_t i = 0; i < output.size(); ++i)
CHECK(output[i] == Type_(input1[i] * input2[i]));
}
template INTGEMM_SSE2 void kernel_multiply_test<CPUType::SSE2, int8_t>();
template INTGEMM_SSE2 void kernel_multiply_test<CPUType::SSE2, int16_t>();
template INTGEMM_SSE2 void kernel_multiply_test<CPUType::SSE2, int>();
template INTGEMM_SSE2 void kernel_multiply_test<CPUType::SSE2, float>();
template INTGEMM_SSE2 void kernel_multiply_test<CPUType::SSE2, double>();
KERNEL_TEST_CASE("multiply/int8 SSE2") { return kernel_multiply_test<CPUType::SSE2, int8_t>(); }
KERNEL_TEST_CASE("multiply/int16 SSE2") { return kernel_multiply_test<CPUType::SSE2, int16_t>(); }
KERNEL_TEST_CASE("multiply/int SSE2") { return kernel_multiply_test<CPUType::SSE2, int>(); }
KERNEL_TEST_CASE("multiply/float SSE2") { return kernel_multiply_test<CPUType::SSE2, float>(); }
KERNEL_TEST_CASE("multiply/double SSE2") { return kernel_multiply_test<CPUType::SSE2, double>(); }
template INTGEMM_AVX2 void kernel_multiply_test<CPUType::AVX2, int8_t>();
template INTGEMM_AVX2 void kernel_multiply_test<CPUType::AVX2, int16_t>();
template INTGEMM_AVX2 void kernel_multiply_test<CPUType::AVX2, int>();
template INTGEMM_AVX2 void kernel_multiply_test<CPUType::AVX2, float>();
template INTGEMM_AVX2 void kernel_multiply_test<CPUType::AVX2, double>();
KERNEL_TEST_CASE("multiply/int8 AVX2") { return kernel_multiply_test<CPUType::AVX2, int8_t>(); }
KERNEL_TEST_CASE("multiply/int16 AVX2") { return kernel_multiply_test<CPUType::AVX2, int16_t>(); }
KERNEL_TEST_CASE("multiply/int AVX2") { return kernel_multiply_test<CPUType::AVX2, int>(); }
KERNEL_TEST_CASE("multiply/float AVX2") { return kernel_multiply_test<CPUType::AVX2, float>(); }
KERNEL_TEST_CASE("multiply/double AVX2") { return kernel_multiply_test<CPUType::AVX2, double>(); }
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512
template INTGEMM_AVX512BW void kernel_multiply_test<CPUType::AVX512BW, int8_t>();
template INTGEMM_AVX512BW void kernel_multiply_test<CPUType::AVX512BW, int16_t>();
template INTGEMM_AVX512BW void kernel_multiply_test<CPUType::AVX512BW, int>();
template INTGEMM_AVX512BW void kernel_multiply_test<CPUType::AVX512BW, float>();
template INTGEMM_AVX512BW void kernel_multiply_test<CPUType::AVX512BW, double>();
KERNEL_TEST_CASE("multiply/int8 AVX512BW") { return kernel_multiply_test<CPUType::AVX512BW, int8_t>(); }
KERNEL_TEST_CASE("multiply/int16 AVX512BW") { return kernel_multiply_test<CPUType::AVX512BW, int16_t>(); }
KERNEL_TEST_CASE("multiply/int AVX512BW") { return kernel_multiply_test<CPUType::AVX512BW, int>(); }
KERNEL_TEST_CASE("multiply/float AVX512BW") { return kernel_multiply_test<CPUType::AVX512BW, float>(); }
KERNEL_TEST_CASE("multiply/double AVX512BW") { return kernel_multiply_test<CPUType::AVX512BW, double>(); }
#endif
}
|