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#include "test.h"
namespace intgemm {
namespace {
void CompareAs(int8_t * output_old, uint8_t * output_new, Index rows, Index cols) {
for (Index r = 0; r<rows; r++) {
for (Index c = 0; c<cols; c++) {
int a = int(output_old[rows*c + r]);
int b = int(output_new[rows*c + r]);
INFO("Inaccurate at row: " << r << " column " << c << ' '
<< a << ' ' << b);
CHECK(a+127 == b);
}
}
}
template <class Routine> void TestPrepareA(Index rows, Index cols) {
std::mt19937 gen;
// Go somewhat out of range too.
std::uniform_real_distribution<float> dist(-2, 2);
// Create array.
AlignedVector<float> inputA(rows * cols);
for (auto& it : inputA) {
it = dist(gen);
}
AlignedVector<int8_t> oldA(rows * cols);
AlignedVector<uint8_t> newA(rows * cols);
float quant_mult = 64; //From example
Routine::PrepareA(inputA.begin(), oldA.begin(), quant_mult, rows, cols);
Routine::PrepareA(inputA.begin(), newA.begin(), quant_mult, rows, cols);
CompareAs(oldA.begin(), newA.begin(), rows, cols);
}
template <class Routine> void TestPrepareBias(Index rows, Index cols) {
std::mt19937 gen;
// Go somewhat out of range too.
std::uniform_real_distribution<float> dist(-30.0, 30.0);
// Create array.
AlignedVector<float> inputB(rows * cols);
for (auto& it : inputB) {
it = dist(gen);
}
float alpha = 25;
float quant_mult = 127/alpha;
AlignedVector<int8_t> B_prep(inputB.size());
AlignedVector<int8_t> B_quant(inputB.size());
Routine::PrepareB(inputB.begin(), B_prep.begin(), quant_mult, rows, cols);
Routine::Quantize(inputB.begin(), B_quant.begin(), quant_mult, static_cast<intgemm::Index>(inputB.size()));
AlignedVector<float> inputBias(cols);
AlignedVector<float> goldBias(cols);
for (auto& it : goldBias) {
it = dist(gen);
}
int i = 0;
for (auto& it : inputBias) {
it = goldBias[i];
i++;
}
float unquant_mult_forprep = (-1)*(alpha)*(alpha)/(127.0f);
Routine::PrepareBias(B_prep.begin(), rows, cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult_forprep, inputBias.begin(), inputBias.begin()));
int A_rows = 1;
AlignedVector<int8_t> A_prep2(A_rows*rows);
for (auto& it : A_prep2) {
it =1;
}
//Routine::Multiply(A_prep2.begin(), B_prep.begin(), A_rows, rows, cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult_forprep, goldBias.begin(), goldBias.begin()));
//CompareEps(goldBias.begin(), inputBias.begin(), cols, 0.0001f);
AlignedVector<float> slowint_C(cols);
references::Multiply(A_prep2.begin(), B_quant.begin(), slowint_C.begin(), A_rows, rows, cols, [&](int32_t sum, const callbacks::OutputBufferInfo& info) {
return sum * unquant_mult_forprep + goldBias[info.col_idx];
});
CompareEps(slowint_C.begin(), inputBias.begin(), cols, 0.0001f);
}
template <class Routine> void TestMultiplyBiasNew(Index A_rows, Index width, Index B_cols,
float int_tolerance=.1, float float_tolerance=1, float MSE_float_tolerance=0, float MSE_int_tolerance=0) {
std::ostringstream info;
info << Routine::kName << "\t" << A_rows << '\t' << width << '\t' << B_cols << '\n';
// Initialize A and B.
AlignedVector<float> A(A_rows * width);
AlignedVector<float> B(width * B_cols);
AlignedVector<float> bias(B_cols);
std::mt19937 gen;
std::uniform_real_distribution<float> dist(-1.0f, 1.0f);
for (auto& it : A) {
it = dist(gen);
}
for (auto& it : B) {
it = dist(gen);
}
for (auto& it : bias) {
it = dist(gen);
}
float alpha = 2.0f;
float quant_mult = 127.0f / alpha;
float unquant_mult = 1.0f / (quant_mult*quant_mult);
AlignedVector<uint8_t> A_prep(A.size());
AlignedVector<int8_t> B_prep(B.size());
Routine::PrepareA(A.begin(), A_prep.begin(), quant_mult, A_rows, width);
Routine::PrepareB(B.begin(), B_prep.begin(), quant_mult, width, B_cols);
AlignedVector<float> test_C(A_rows * B_cols);
/*REFERENCE MULTIPLICATION
*
*
*/
AlignedVector<int8_t> B_quant(B.size());
Routine::Quantize(B.begin(), B_quant.begin(), quant_mult, static_cast<Index>(B.size()));
AlignedVector<float> slowint_C(test_C.size());
// Taking the original A_preparation which means A would be int8_t
AlignedVector<int8_t> A_prep2(A.size());
Routine::PrepareA(A.begin(), A_prep2.begin(), quant_mult, A_rows, width);
references::Multiply(A_prep2.begin(), B_quant.begin(), slowint_C.begin(), A_rows, width, B_cols, [&](int32_t sum, const callbacks::OutputBufferInfo& info) {
return sum * unquant_mult + bias[info.col_idx];
});
AlignedVector<float> float_C(test_C.size());
references::Multiply(A.begin(), B.begin(), float_C.begin(), A_rows, width, B_cols, [&](double sum, const callbacks::OutputBufferInfo& info) {
return static_cast<float>(sum) + bias[info.col_idx];
});
/*ACTUAL MULTIPLICATION
*
*/
float unquant_mult_forprep = (-1.0f)*(alpha)*(alpha)/(127.0f); //Minus one to invert add_ps later on
Routine::PrepareBias(B_prep.begin(), width, B_cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult_forprep, bias.begin(), bias.begin()));
//Routine::PrepareBias(B.begin(), bias.begin(), alpha, width, B_cols);
Routine::Multiply8Shift(A_prep.begin(), B_prep.begin(), A_rows, width, B_cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult, bias.begin(), test_C.begin()));
CompareMSE(float_C.begin(), slowint_C.begin(), test_C.begin(), test_C.size(), info.str(),
int_tolerance, float_tolerance, MSE_float_tolerance, MSE_int_tolerance);
}
template <class Routine> void TestMultiplyShiftNonShift(Index A_rows, Index width, Index B_cols,
float int_tolerance=.1, float float_tolerance=1, float MSE_float_tolerance=0, float MSE_int_tolerance=0) {
std::ostringstream info;
info << Routine::kName << "\t" << A_rows << '\t' << width << '\t' << B_cols << '\n';
// Initialize A and B.
AlignedVector<float> A(A_rows * width);
AlignedVector<float> B(width * B_cols);
AlignedVector<float> bias(B_cols);
std::mt19937 gen;
std::uniform_real_distribution<float> dist(-1.0f, 1.0f);
for (auto& it : A) {
it = dist(gen);
}
for (auto& it : B) {
it = dist(gen);
}
for (auto& it : bias) {
it = 0;
}
float alpha = 2.0f;
float quant_mult = 127.0f / alpha;
float unquant_mult = 1.0f / (quant_mult*quant_mult);
AlignedVector<uint8_t> A_prep(A.size());
AlignedVector<int8_t> A_prep_old(A.size());
AlignedVector<int8_t> B_prep(B.size());
Routine::PrepareA(A.begin(), A_prep.begin(), quant_mult, A_rows, width);
Routine::PrepareA(A.begin(), A_prep_old.begin(), quant_mult, A_rows, width); //Non shited version
Routine::PrepareB(B.begin(), B_prep.begin(), quant_mult, width, B_cols);
AlignedVector<float> test_C(A_rows * B_cols);
/*
* Reference non shift multiplication instead of slowint
*/
AlignedVector<float> slowint_C(test_C.size());
Routine::Multiply(A_prep_old.begin(), B_prep.begin(), A_rows, width, B_cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult, bias.begin(), slowint_C.begin()));
AlignedVector<float> float_C(test_C.size());
references::Multiply(A.begin(), B.begin(), float_C.begin(), A_rows, width, B_cols, [&](double sum, const callbacks::OutputBufferInfo& info) {
return static_cast<float>(sum) + bias[info.col_idx];
});
/*
* Multiply8 shift multiplication
*/
float unquant_mult_forprep = (-1.0f)*(alpha)*(alpha)/(127.0f); //Minus one to invert add_ps later on
Routine::PrepareBias(B_prep.begin(), width, B_cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult_forprep, bias.begin(), bias.begin()));
Routine::Multiply8Shift(A_prep.begin(), B_prep.begin(), A_rows, width, B_cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult, bias.begin(), test_C.begin()));
CompareMSE(float_C.begin(), slowint_C.begin(), test_C.begin(), test_C.size(), info.str(),
int_tolerance, float_tolerance, MSE_float_tolerance, MSE_int_tolerance);
}
template <class Routine> void TestMultiplyShiftInt(Index A_rows, Index width, Index B_cols,
float int_tolerance=.1, float float_tolerance=1, float MSE_float_tolerance=0, float MSE_int_tolerance=0) {
std::ostringstream info;
info << Routine::kName << "\t" << A_rows << '\t' << width << '\t' << B_cols << '\n';
// Initialize A and B.
AlignedVector<float> A(A_rows * width);
AlignedVector<float> B(width * B_cols);
AlignedVector<float> bias(B_cols);
std::mt19937 gen;
std::uniform_real_distribution<float> dist(-1.0f, 1.0f);
for (auto& it : A) {
it = dist(gen);
}
for (auto& it : B) {
it = dist(gen);
}
for (auto& it : bias) {
it = 0;
}
float alpha = 2.0f;
float quant_mult = 127.0f / alpha;
float unquant_mult = 1.0f / (quant_mult*quant_mult);
AlignedVector<uint8_t> A_prep(A.size());
AlignedVector<int8_t> A_prep_old(A.size());
AlignedVector<int8_t> B_prep(B.size());
Routine::PrepareA(A.begin(), A_prep.begin(), quant_mult, A_rows, width);
Routine::PrepareA(A.begin(), A_prep_old.begin(), quant_mult, A_rows, width); //Non shited version
Routine::PrepareB(B.begin(), B_prep.begin(), quant_mult, width, B_cols);
AlignedVector<float> test_C(A_rows * B_cols);
/*
* Reference float multiplication
*/
AlignedVector<int8_t> B_quant(B.size());
Routine::Quantize(B.begin(), B_quant.begin(), quant_mult, static_cast<Index>(B.size()));
AlignedVector<float> slowint_C(test_C.size());
// Taking the original A_preparation which means A would be int8_t
// references::Multiply(A_prep.begin(), B_quant.begin(), slowint_C.begin(), A_rows, width, B_cols, [&](int32_t sum, const callbacks::OutputBufferInfo& info) {
// return sum * unquant_mult + bias[info.col_idx];
// });
AlignedVector<float> float_C(test_C.size());
references::Multiply(A.begin(), B.begin(), float_C.begin(), A_rows, width, B_cols, [&](double sum, const callbacks::OutputBufferInfo& info) {
return static_cast<float>(sum) + bias[info.col_idx];
});
/*
* Multiply8 shift multiplication
*/
//First prepare SlowInteger Bias:
AlignedVector<int8_t> A_prep2(1*width);
for (auto& it : A_prep2) {
it = 1;
}
AlignedVector<float> ShiftedBias(B_cols);
float unquant_mult_forprep = (-1)*(alpha)*(alpha)/(127.0f); //Minus one to invert add_ps later on
references::Multiply(A_prep2.begin(), B_quant.begin(), ShiftedBias.begin(), 1, width, B_cols, [&](int32_t sum, const callbacks::OutputBufferInfo& info) {
return sum * unquant_mult_forprep + bias[info.col_idx];
});
//Now prepare Fast integer Bias
Routine::PrepareBias(B_prep.begin(), width, B_cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult_forprep, bias.begin(), bias.begin()));
Routine::Multiply8Shift(A_prep.begin(), B_prep.begin(), A_rows, width, B_cols, callbacks::UnquantizeAndAddBiasAndWrite(unquant_mult, bias.begin(), test_C.begin()));
// Reference INT VERSION HERE with ADD127
// Taking the original A_preparation which means A would be int8_t
references::Multiply(A_prep.begin(), B_quant.begin(), slowint_C.begin(), A_rows, width, B_cols, [&](int32_t sum, const callbacks::OutputBufferInfo& info) {
return sum * unquant_mult + ShiftedBias[info.col_idx];
});
CompareMSE(float_C.begin(), slowint_C.begin(), test_C.begin(), test_C.size(), info.str(),
int_tolerance, float_tolerance, MSE_float_tolerance, MSE_int_tolerance);
}
// Bias
TEST_CASE("PrepareBias SSSE3", "[Add127]") {
if (kCPU < CPUType::SSSE3) return;
TestPrepareBias<SSSE3::Kernels8>(256,256);
TestPrepareBias<SSSE3::Kernels8>(2048,256);
TestPrepareBias<SSSE3::Kernels8>(512,512);
}
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX2
TEST_CASE("PrepareBias AVX2", "[Add127]") {
if (kCPU < CPUType::AVX2) return;
TestPrepareBias<AVX2::Kernels8>(256,256);
TestPrepareBias<AVX2::Kernels8>(2048,256);
TestPrepareBias<AVX2::Kernels8>(512,512);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512BW
TEST_CASE("PrepareBias AVX512F", "[Add127]") {
if (kCPU < CPUType::AVX512BW) return;
TestPrepareBias<AVX512BW::Kernels8>(256,256);
TestPrepareBias<AVX512BW::Kernels8>(2048,256);
TestPrepareBias<AVX512BW::Kernels8>(512,512);
}
#endif
//A
TEST_CASE("PrepareA SSSE3", "[Add127]") {
if (kCPU < CPUType::SSSE3) return;
TestPrepareA<SSSE3::Kernels8>(64,64);
TestPrepareA<SSSE3::Kernels8>(256,256);
TestPrepareA<SSSE3::Kernels8>(512,512);
TestPrepareA<SSSE3::Kernels8>(2048,256);
}
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX2
TEST_CASE("PrepareA AVX2", "[Add127]") {
if (kCPU < CPUType::AVX2) return;
TestPrepareA<AVX2::Kernels8>(64,64);
TestPrepareA<AVX2::Kernels8>(256,256);
TestPrepareA<AVX2::Kernels8>(512,512);
TestPrepareA<AVX2::Kernels8>(2048,256);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512BW
TEST_CASE("PrepareA AVX512F", "[Add127]") {
if (kCPU < CPUType::AVX512BW) return;
TestPrepareA<AVX512BW::Kernels8>(64,64);
TestPrepareA<AVX512BW::Kernels8>(256,256);
TestPrepareA<AVX512BW::Kernels8>(512,512);
TestPrepareA<AVX512BW::Kernels8>(2048,256);
}
#endif
// Multiply
TEST_CASE ("Multiply SSSE3 8bit Shift with bias", "[Add127]") {
if (kCPU < CPUType::SSSE3) return;
TestMultiplyBiasNew<SSSE3::Kernels8>(1, 64, 8, 0.11f, 0.1f, 0.06f, 0.05f);
TestMultiplyBiasNew<SSSE3::Kernels8>(8, 256, 256, 0.45f, 0.54f, 0.17f, 0.16f);
TestMultiplyBiasNew<SSSE3::Kernels8>(8, 2048, 256, 1.7f, 1.7f, 0.46f, 0.43f);
TestMultiplyBiasNew<SSSE3::Kernels8>(320, 256, 256, 0.56f, 0.64f, 0.16f, 0.15f);
TestMultiplyBiasNew<SSSE3::Kernels8>(472, 256, 256, 0.46f, 0.62f, 0.17f, 0.16f);
TestMultiplyBiasNew<SSSE3::Kernels8>(248, 256, 256, 0.48f, 0.64f, 0.16f, 0.15f);
TestMultiplyBiasNew<SSSE3::Kernels8>(200, 256, 256, 0.55f, 0.74f, 0.17f, 0.16f);
}
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX2
TEST_CASE ("Multiply AVX2 8bit Shift with bias", "[Add127]") {
if (kCPU < CPUType::AVX2) return;
TestMultiplyBiasNew<AVX2::Kernels8>(1, 64, 8, 0.11f, 0.11f, 0.06f, 0.05f);
TestMultiplyBiasNew<AVX2::Kernels8>(8, 256, 256, 0.49f, 0.54f, 0.17f, 0.16f);
TestMultiplyBiasNew<AVX2::Kernels8>(8, 2048, 256, 1.57f, 1.66f, 0.46f, 0.46f);
TestMultiplyBiasNew<AVX2::Kernels8>(320, 256, 256, 0.49f, 0.64f, 0.16f, 0.15f);
TestMultiplyBiasNew<AVX2::Kernels8>(472, 256, 256, 0.46f, 0.62f, 0.17f, 0.16f);
TestMultiplyBiasNew<AVX2::Kernels8>(248, 256, 256, 0.48f, 0.64f, 0.16f, 0.15f);
TestMultiplyBiasNew<AVX2::Kernels8>(200, 256, 256, 0.55f, 0.74f, 0.17f, 0.16f);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512BW
TEST_CASE ("Multiply AVX512F 8bit Shift with bias", "[Add127]") {
if (kCPU < CPUType::AVX512BW) return;
TestMultiplyBiasNew<AVX512BW::Kernels8>(1, 64, 8, 0.0001f, 0.05f, 0.03f, 0.001f);
TestMultiplyBiasNew<AVX512BW::Kernels8>(8, 256, 256, 0.0001f, 0.22f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512BW::Kernels8>(8, 2048, 256, 0.0001f, 0.61f, 0.17f, 0.001f);
TestMultiplyBiasNew<AVX512BW::Kernels8>(320, 256, 256, 0.0001f, 0.27f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512BW::Kernels8>(472, 256, 256, 0.0001f, 0.33f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512BW::Kernels8>(248, 256, 256, 0.0001f, 0.27f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512BW::Kernels8>(200, 256, 256, 0.0001f, 0.28f, 0.06f, 0.001f);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512VNNI
TEST_CASE ("Multiply AVX512VNNI 8bit Shift with bias", "[Add127]") {
if (kCPU < CPUType::AVX512VNNI) return;
TestMultiplyBiasNew<AVX512VNNI::Kernels8>(1, 64, 8, 0.0001f, 0.05f, 0.03f, 0.001f);
TestMultiplyBiasNew<AVX512VNNI::Kernels8>(8, 256, 256, 0.0001f, 0.22f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512VNNI::Kernels8>(8, 2048, 256, 0.0001f, 0.61f, 0.17f, 0.001f);
TestMultiplyBiasNew<AVX512VNNI::Kernels8>(320, 256, 256, 0.0001f, 0.27f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512VNNI::Kernels8>(472, 256, 256, 0.0001f, 0.33f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512VNNI::Kernels8>(248, 256, 256, 0.0001f, 0.27f, 0.06f, 0.001f);
TestMultiplyBiasNew<AVX512VNNI::Kernels8>(200, 256, 256, 0.0001f, 0.28f, 0.06f, 0.001f);
}
#endif
//Multiply old vs new
TEST_CASE ("Multiply SSSE3 8bit Shift vs nonshift", "[Add127]") {
if (kCPU < CPUType::SSSE3) return;
TestMultiplyShiftNonShift<SSSE3::Kernels8>(1, 64, 8, 0.00001f, 0.1f, 0.06f, 0.00001f);
TestMultiplyShiftNonShift<SSSE3::Kernels8>(8, 256, 256, 0.00001f, 0.54f, 0.17f, 0.00001f);
TestMultiplyShiftNonShift<SSSE3::Kernels8>(8, 2048, 256, 17.9f, 1.7f, 0.46f, 4.2f); //Big difference here because the non-shift version is very bad
TestMultiplyShiftNonShift<SSSE3::Kernels8>(320, 256, 256, 1.2f, 0.64f, 0.16f, 0.006f);
TestMultiplyShiftNonShift<SSSE3::Kernels8>(472, 256, 256, 1.1f, 0.62f, 0.17f, 0.006f);
TestMultiplyShiftNonShift<SSSE3::Kernels8>(248, 256, 256, 0.9f, 0.64f, 0.16f, 0.007f);
TestMultiplyShiftNonShift<SSSE3::Kernels8>(200, 256, 256, 1, 0.74f, 0.17f, 0.006f);
}
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX2
TEST_CASE ("Multiply AVX2 8bit Shift vs nonshift", "[Add127]") {
if (kCPU < CPUType::AVX2) return;
TestMultiplyShiftNonShift<AVX2::Kernels8>(1, 64, 8, 0.00001f, 0.11f, 0.06f, 0.00001f);
TestMultiplyShiftNonShift<AVX2::Kernels8>(8, 256, 256, 0.00001f, 0.54f, 0.17f, 0.00001f);
TestMultiplyShiftNonShift<AVX2::Kernels8>(8, 2048, 256, 9.4f, 1.66f, 0.46f, 1.67f); //Big difference here because the non-shift version is very bad
TestMultiplyShiftNonShift<AVX2::Kernels8>(320, 256, 256, 0.0001f, 0.64f, 0.16f, 0.0001f);
TestMultiplyShiftNonShift<AVX2::Kernels8>(472, 256, 256, 0.0001f, 0.62f, 0.17f, 0.0001f);
TestMultiplyShiftNonShift<AVX2::Kernels8>(248, 256, 256, 0.0001f, 0.64f, 0.16f, 0.0001f);
TestMultiplyShiftNonShift<AVX2::Kernels8>(200, 256, 256, 0.0001f, 0.74f, 0.17f, 0.0001f);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512BW
TEST_CASE ("Multiply AVX512F 8bit Shift vs nonshift", "[Add127]") {
if (kCPU < CPUType::AVX512BW) return;
TestMultiplyShiftNonShift<AVX512BW::Kernels8>(1, 64, 8, 0.0001f, 0.05f, 0.03f, 0.001f);
TestMultiplyShiftNonShift<AVX512BW::Kernels8>(8, 256, 256, 0.0001f, 0.22f, 0.06f, 0.001f);
TestMultiplyShiftNonShift<AVX512BW::Kernels8>(8, 2048, 256, 3.51f, 0.61f, 0.17f, 0.3f);
TestMultiplyShiftNonShift<AVX512BW::Kernels8>(320, 256, 256, 0.0001f, 0.27f, 0.06f, 0.001f);
TestMultiplyShiftNonShift<AVX512BW::Kernels8>(472, 256, 256, 0.0001f, 0.33f, 0.06f, 0.001f);
TestMultiplyShiftNonShift<AVX512BW::Kernels8>(248, 256, 256, 0.0001f, 0.27f, 0.06f, 0.001f);
TestMultiplyShiftNonShift<AVX512BW::Kernels8>(200, 256, 256, 0.0001f, 0.28f, 0.06f, 0.001f);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512VNNI
TEST_CASE ("Multiply AVX512VNNI 8bit Shift vs nonshift", "[Add127]") {
if (kCPU < CPUType::AVX512VNNI) return;
TestMultiplyShiftNonShift<AVX512VNNI::Kernels8>(1, 64, 8, 0.00001f, 0.05f, 0.03f, 0.00001f);
TestMultiplyShiftNonShift<AVX512VNNI::Kernels8>(8, 256, 256, 0.00001f, 0.22f, 0.06f, 0.00001f);
TestMultiplyShiftNonShift<AVX512VNNI::Kernels8>(8, 2048, 256, 0.0001f, 0.61f, 0.17f, 0.0001f);
TestMultiplyShiftNonShift<AVX512VNNI::Kernels8>(320, 256, 256, 0.00001f, 0.27f, 0.06f, 0.00001f);
TestMultiplyShiftNonShift<AVX512VNNI::Kernels8>(472, 256, 256, 0.00001f, 0.33f, 0.06f, 0.00001f);
TestMultiplyShiftNonShift<AVX512VNNI::Kernels8>(248, 256, 256, 0.00001f, 0.27f, 0.06f, 0.00001f);
TestMultiplyShiftNonShift<AVX512VNNI::Kernels8>(200, 256, 256, 0.00001f, 0.28f, 0.06f, 0.00001f);
}
#endif
//Multiply Shift vs int shift implementation
TEST_CASE ("Multiply SSSE3 8bit Shift vs Int", "[Add127]") {
if (kCPU < CPUType::SSSE3) return;
TestMultiplyShiftInt<SSSE3::Kernels8>(1, 64, 8, 0.0001f, 0.1f, 0.06f, 0.0001f);
TestMultiplyShiftInt<SSSE3::Kernels8>(8, 256, 256, 0.0001f, 0.54f, 0.17f, 0.0001f);
TestMultiplyShiftInt<SSSE3::Kernels8>(8, 2048, 256, 0.0001f, 1.7f, 0.46f, 0.0001f);
TestMultiplyShiftInt<SSSE3::Kernels8>(320, 256, 256, 0.0001f, 0.64f, 0.16f, 0.0001f);
TestMultiplyShiftInt<SSSE3::Kernels8>(472, 256, 256, 0.0001f, 0.62f, 0.17f, 0.0001f);
TestMultiplyShiftInt<SSSE3::Kernels8>(248, 256, 256, 0.0001f, 0.64f, 0.16f, 0.0001f);
TestMultiplyShiftInt<SSSE3::Kernels8>(200, 256, 256, 0.0001f, 0.74f, 0.17f, 0.0001f);
}
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX2
TEST_CASE ("Multiply AVX2 8bit Shift vs Int", "[Add127]") {
if (kCPU < CPUType::AVX2) return;
TestMultiplyShiftInt<AVX2::Kernels8>(1, 64, 8, 0.0001f, 0.11f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX2::Kernels8>(8, 256, 256, 0.0001f, 0.54f, 0.17f, 0.0001f);
TestMultiplyShiftInt<AVX2::Kernels8>(8, 2048, 256, 0.0001f, 1.66f, 0.46f, 0.0001f);
TestMultiplyShiftInt<AVX2::Kernels8>(320, 256, 256, 0.0001f, 0.64f, 0.16f, 0.0001f);
TestMultiplyShiftInt<AVX2::Kernels8>(472, 256, 256, 0.0001f, 0.62f, 0.17f, 0.0001f);
TestMultiplyShiftInt<AVX2::Kernels8>(248, 256, 256, 0.0001f, 0.64f, 0.16f, 0.0001f);
TestMultiplyShiftInt<AVX2::Kernels8>(200, 256, 256, 0.0001f, 0.74f, 0.17f, 0.0001f);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512BW
TEST_CASE ("Multiply AVX512F 8bit Shift vs Int", "[Add127]") {
if (kCPU < CPUType::AVX512BW) return;
TestMultiplyShiftInt<AVX512BW::Kernels8>(1, 64, 8, 0.0001f, 0.05f, 0.03f, 0.0001f);
TestMultiplyShiftInt<AVX512BW::Kernels8>(8, 256, 256, 0.0001f, 0.22f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512BW::Kernels8>(8, 2048, 256, 0.0001f, 0.61f, 0.17f, 0.0001f);
TestMultiplyShiftInt<AVX512BW::Kernels8>(320, 256, 256, 0.0001f, 0.27f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512BW::Kernels8>(472, 256, 256, 0.0001f, 0.33f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512BW::Kernels8>(248, 256, 256, 0.0001f, 0.27f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512BW::Kernels8>(200, 256, 256, 0.0001f, 0.28f, 0.06f, 0.0001f);
}
#endif
#ifdef INTGEMM_COMPILER_SUPPORTS_AVX512VNNI
TEST_CASE ("Multiply AVX512VNNI 8bit Shift vs Int", "[Add127]") {
if (kCPU < CPUType::AVX512VNNI) return;
TestMultiplyShiftInt<AVX512VNNI::Kernels8>(1, 64, 8, 0.0001f, 0.05f, 0.03f, 0.0001f);
TestMultiplyShiftInt<AVX512VNNI::Kernels8>(8, 256, 256, 0.0001f, 0.22f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512VNNI::Kernels8>(8, 2048, 256, 0.0001f, 0.61f, 0.17f, 0.0001f);
TestMultiplyShiftInt<AVX512VNNI::Kernels8>(320, 256, 256, 0.0001f, 0.27f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512VNNI::Kernels8>(472, 256, 256, 0.0001f, 0.33f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512VNNI::Kernels8>(248, 256, 256, 0.0001f, 0.27f, 0.06f, 0.0001f);
TestMultiplyShiftInt<AVX512VNNI::Kernels8>(200, 256, 256, 0.0001f, 0.28f, 0.06f, 0.0001f);
}
#endif
} // namespace
} // namespace intgemm
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