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MX GEMM - Add FP6 GEMM Test (#2488)

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* Add F6 GEMM MX Test

* Add BF6 GEMM MX Test
This commit is contained in:
Andriy Roshchenko
2025-07-11 15:32:12 -06:00
committed by GitHub
parent 518dc21ae8
commit 25b359d630
11 changed files with 265 additions and 9 deletions
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20
profiler/include/profiler/profile_gemm_mx_impl.hpp
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@@ -216,12 +216,20 @@ bool profile_gemm_mx_impl(int do_verification,
auto a_data_element = [](float x) {
if constexpr(ck::is_same_v<ADataType, ck::f4x2_pk_t>)
return ck::type_convert<ADataType>(ck::float2_t(x));
else if constexpr(ck::packed_size_v<ADataType> == 32)
return ck::type_convert<ADataType>(ck::float32_t(x));
else if constexpr(ck::packed_size_v<ADataType> == 16)
return ck::type_convert<ADataType>(ck::float16_t(x));
else
return ck::type_convert<ADataType>(x);
};
auto b_data_element = [](float x) {
if constexpr(ck::is_same_v<BDataType, ck::f4x2_pk_t>)
return ck::type_convert<BDataType>(ck::float2_t(x));
else if constexpr(ck::packed_size_v<BDataType> == 32)
return ck::type_convert<BDataType>(ck::float32_t(x));
else if constexpr(ck::packed_size_v<BDataType> == 16)
return ck::type_convert<BDataType>(ck::float16_t(x));
else
return ck::type_convert<BDataType>(x);
};
@@ -247,15 +255,17 @@ bool profile_gemm_mx_impl(int do_verification,
case 1:
a_m_k.GenerateTensorDistr(int_distr{-4, 5}); // Z[-4,4]
b_k_n->GenerateTensorDistr(int_distr{-4, 5}); // Z[-4,4]
a_m_k.GenerateTensorDistr(
int_distr{-4, 4}, ck::identity{}, std::minstd_rand(time(nullptr))); // Z[-4,4]
b_k_n->GenerateTensorDistr(int_distr{-4, 4}); // Z[-4,4]
a_m_k_scale.GenerateTensorDistr(int_distr{125, 129}); // scales: {0.25, 0.5, 1, 2}
b_k_n_scale.GenerateTensorDistr(int_distr{125, 129}); // scales: {0.25, 0.5, 1, 2}
a_m_k_scale.GenerateTensorDistr(int_distr{125, 128}); // scales: {0.25, 0.5, 1, 2}
b_k_n_scale.GenerateTensorDistr(int_distr{125, 128}); // scales: {0.25, 0.5, 1, 2}
break;
default:
a_m_k.GenerateTensorDistr(float_distr{-2.0, 2.0});
a_m_k.GenerateTensorDistr(
float_distr{-2.0, 2.0}, ck::identity{}, std::minstd_rand(time(nullptr)));
a_m_k_scale.GenerateTensorDistr(float_distr{powf(2.0f, -125.0f), 1.0f});
b_k_n->GenerateTensorDistr(float_distr{-2.0, 2.0});