Commit b3054fea authored by Adam Osewski's avatar Adam Osewski
Browse files

Merge branch 'develop' into aosewski/ck_tile_gemm_policy

parents 7cbc1492 052a7265
...@@ -6,9 +6,13 @@ ...@@ -6,9 +6,13 @@
// clang-format off // clang-format off
// rm rn tm tn vn pd 2p // rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 3, 1, 128, 8,true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 3, 1, 128, 8,true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 3, 1, 256, 4,true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 3, 1, 256, 4,true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 6, 1, 256, 2,true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 6, 1, 256, 2,true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 3, 1, 1024, 1,true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 3, 1, 1024, 1,true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 3, 1, 128, 8,true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 3, 1, 256, 4,true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 6, 1, 256, 2,true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 3, 1, 1024, 1,true, false>>(const S&, A);
// clang-format on // clang-format on
...@@ -6,9 +6,13 @@ ...@@ -6,9 +6,13 @@
// clang-format off // clang-format off
// rm rn tm tn vn pd 2p // rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 1, 256, 8, true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 1, 256, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 1, 256, 4, true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 1, 256, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 1, 1024, 2, true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 1, 1024, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 1, 1024, 1, true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 1, 1024, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 1, 256, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 1, 256, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 1, 1024, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 1, 1024, 1, true, false>>(const S&, A);
// clang-format on // clang-format on
...@@ -6,9 +6,13 @@ ...@@ -6,9 +6,13 @@
// clang-format off // clang-format off
// rm rn tm tn vn pd 2p // rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 1, 256, 8, true, true>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 1, 256, 8, true, true>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 1, 256, 4, true, true>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 1, 256, 4, true, true>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 1, 1024, 2, true, true>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 1, 1024, 2, true, true>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 1, 1024, 1, true, true>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 1, 1024, 1, true, true>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 1, 256, 8, true, true>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 1, 256, 4, true, true>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 1, 1024, 2, true, true>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 1, 1024, 1, true, true>>(const S&, A);
// clang-format on // clang-format on
...@@ -6,8 +6,13 @@ ...@@ -6,8 +6,13 @@
// clang-format off // clang-format off
// rm rn tm tn vn pd 2p // rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 1, 4, 64, 8, true , false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 1, 4, 64, 8, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 4, 64, 4, true , false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 4, 64, 4, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 4, 64, 2, true , false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 4, 64, 2, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 8, 4, 64, 1, true , false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 8, 4, 64, 1, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 1, 4, 64, 8, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 4, 64, 4, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 4, 64, 2, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 8, 4, 64, 1, true , false>>(const S&, A);
// clang-format on // clang-format on
...@@ -6,7 +6,11 @@ ...@@ -6,7 +6,11 @@
// clang-format off // clang-format off
// rm rn tm tn vn pd 2p // rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 1, 4, 64, 1, true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 1, 4, 64, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 1, 4, 64, 2, true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 1, 4, 64, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 4, 64, 1, true, false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 4, 64, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 1, 4, 64, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 1, 4, 64, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 4, 64, 1, true, false>>(const S&, A);
// clang-format on // clang-format on
...@@ -6,7 +6,11 @@ ...@@ -6,7 +6,11 @@
// clang-format off // clang-format off
// rm rn tm tn vn pd 2p // rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 3, 4, 64, 4, true , false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 3, 4, 64, 4, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 6, 4, 64, 2, true , false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 6, 4, 64, 2, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 12, 4, 64, 1, true , false>>(const S&, A); template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 12, 4, 64, 1, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 3, 4, 64, 4, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 6, 4, 64, 2, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 12, 4, 64, 1, true , false>>(const S&, A);
// clang-format on // clang-format on
...@@ -4,7 +4,8 @@ ...@@ -4,7 +4,8 @@
#include <ck_tile/core.hpp> #include <ck_tile/core.hpp>
#include "moe_smoothquant.hpp" #include "moe_smoothquant.hpp"
template <typename DataType_, template <typename InType,
typename OutType,
ck_tile::index_t Repeat_M_, // each thread repeat along M ck_tile::index_t Repeat_M_, // each thread repeat along M
ck_tile::index_t Repeat_N_, // each thread repeat along N ck_tile::index_t Repeat_N_, // each thread repeat along N
ck_tile::index_t ThreadPerBlock_M_, // num threads along M ck_tile::index_t ThreadPerBlock_M_, // num threads along M
...@@ -12,7 +13,8 @@ template <typename DataType_, ...@@ -12,7 +13,8 @@ template <typename DataType_,
ck_tile::index_t Vector_N_, // vector size along N ck_tile::index_t Vector_N_, // vector size along N
bool kPadN_, bool kPadN_,
bool kTwoPass_> bool kTwoPass_>
using trait_ = moe_smoothquant_traits_<DataType_, using trait_ = moe_smoothquant_traits_<InType,
OutType,
Repeat_M_, Repeat_M_,
Repeat_N_, Repeat_N_,
ThreadPerBlock_M_, ThreadPerBlock_M_,
...@@ -21,7 +23,7 @@ using trait_ = moe_smoothquant_traits_<DataType_, ...@@ -21,7 +23,7 @@ using trait_ = moe_smoothquant_traits_<DataType_,
kPadN_, kPadN_,
kTwoPass_>; kTwoPass_>;
template <typename data_type> template <typename in_type, typename out_type>
float moe_smoothquant_dispatch(moe_smoothquant_traits /*t*/, float moe_smoothquant_dispatch(moe_smoothquant_traits /*t*/,
moe_smoothquant_args a, moe_smoothquant_args a,
const ck_tile::stream_config& s) const ck_tile::stream_config& s)
...@@ -30,99 +32,99 @@ float moe_smoothquant_dispatch(moe_smoothquant_traits /*t*/, ...@@ -30,99 +32,99 @@ float moe_smoothquant_dispatch(moe_smoothquant_traits /*t*/,
// clang-format off // clang-format off
// rm rn tm tn vn pd 2p // rm rn tm tn vn pd 2p
if(a.hidden_size <= 64) { if(a.hidden_size <= 64) {
r = moe_smoothquant_<trait_<data_type, 1, 1, 4, 64, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 1, 4, 64, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 128) { else if(a.hidden_size <= 128) {
if (a.hidden_size % 2 == 0) if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 1, 4, 64, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 1, 4, 64, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 2, 4, 64, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 4, 64, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 256) { else if(a.hidden_size <= 256) {
if (a.hidden_size % 4 == 0) if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 1, 4, 64, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 1, 4, 64, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 4, 64, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 4, 64, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 4, 4, 64, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 4, 64, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 512) { else if(a.hidden_size <= 512) {
if (a.hidden_size % 8 == 0) if (a.hidden_size % 8 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 1, 4, 64, 8, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 1, 4, 64, 8, true, false>>(s, a);
else if (a.hidden_size % 4 == 0) else if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 4, 64, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 4, 64, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 4, 4, 64, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 4, 64, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 8, 4, 64, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 8, 4, 64, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 768) { else if(a.hidden_size <= 768) {
if (a.hidden_size % 4 == 0) if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 3, 4, 64, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 3, 4, 64, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 6, 4, 64, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 6, 4, 64, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1,12, 4, 64, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1,12, 4, 64, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 1024) { else if(a.hidden_size <= 1024) {
if (a.hidden_size % 8 == 0) if (a.hidden_size % 8 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 1, 2, 128, 8, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 1, 2, 128, 8, true, false>>(s, a);
else if (a.hidden_size % 4 == 0) else if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 2, 128, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 2, 128, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 4, 2, 128, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 2, 128, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 4, 1, 256, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 1, 256, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 1536) { else if(a.hidden_size <= 1536) {
if (a.hidden_size % 8 == 0) if (a.hidden_size % 8 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 3, 4, 64, 8, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 3, 4, 64, 8, true, false>>(s, a);
else if (a.hidden_size % 4 == 0) else if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 3, 2, 128, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 3, 2, 128, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 3, 1, 256, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 3, 1, 256, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 6, 1, 256, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 6, 1, 256, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 2048) { else if(a.hidden_size <= 2048) {
if (a.hidden_size % 8 == 0) if (a.hidden_size % 8 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 1, 1, 256, 8, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 1, 1, 256, 8, true, false>>(s, a);
else if (a.hidden_size % 4 == 0) else if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 1, 256, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 1, 256, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 4, 1, 256, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 1, 256, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 8, 1, 256, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 8, 1, 256, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 3072) { else if(a.hidden_size <= 3072) {
if (a.hidden_size % 8 == 0) if (a.hidden_size % 8 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 3, 1, 128, 8, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 3, 1, 128, 8, true, false>>(s, a);
else if (a.hidden_size % 4 == 0) else if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 3, 1, 256, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 3, 1, 256, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 6, 1, 256, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 6, 1, 256, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 3, 1, 1024, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 3, 1, 1024, 1, true, false>>(s, a);
} }
else if(a.hidden_size <= 4096) { else if(a.hidden_size <= 4096) {
if (a.hidden_size % 8 == 0) if (a.hidden_size % 8 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 1, 256, 8, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 1, 256, 8, true, false>>(s, a);
else if (a.hidden_size % 4 == 0) else if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 4, 1, 256, 4, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 1, 256, 4, true, false>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 1, 1024, 2, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 1, 1024, 2, true, false>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 4, 1, 1024, 1, true, false>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 1, 1024, 1, true, false>>(s, a);
} }
else if(a.hidden_size > 4096) { else if(a.hidden_size > 4096) {
if (a.hidden_size % 8 == 0) if (a.hidden_size % 8 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 1, 256, 8, true, true>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 1, 256, 8, true, true>>(s, a);
else if (a.hidden_size % 4 == 0) else if (a.hidden_size % 4 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 4, 1, 256, 4, true, true>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 1, 256, 4, true, true>>(s, a);
else if (a.hidden_size % 2 == 0) else if (a.hidden_size % 2 == 0)
r = moe_smoothquant_<trait_<data_type, 1, 2, 1, 1024, 2, true, true>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 2, 1, 1024, 2, true, true>>(s, a);
else else
r = moe_smoothquant_<trait_<data_type, 1, 4, 1, 1024, 1, true, true>>(s, a); r = moe_smoothquant_<trait_<in_type, out_type, 1, 4, 1, 1024, 1, true, true>>(s, a);
} }
return r; return r;
// clang-format on // clang-format on
...@@ -132,13 +134,21 @@ float moe_smoothquant(moe_smoothquant_traits t, ...@@ -132,13 +134,21 @@ float moe_smoothquant(moe_smoothquant_traits t,
moe_smoothquant_args a, moe_smoothquant_args a,
const ck_tile::stream_config& s) const ck_tile::stream_config& s)
{ {
if(t.data_type.compare("fp16") == 0) if(t.in_type.compare("fp16") == 0 && t.out_type == "int8")
{ {
return moe_smoothquant_dispatch<ck_tile::fp16_t>(t, a, s); return moe_smoothquant_dispatch<ck_tile::fp16_t, ck_tile::int8_t>(t, a, s);
} }
else if(t.data_type.compare("bf16") == 0) else if(t.in_type.compare("fp16") == 0 && t.out_type == "fp8")
{ {
return moe_smoothquant_dispatch<ck_tile::bf16_t>(t, a, s); return moe_smoothquant_dispatch<ck_tile::fp16_t, ck_tile::fp8_t>(t, a, s);
}
else if(t.in_type.compare("bf16") == 0 && t.out_type == "int8")
{
return moe_smoothquant_dispatch<ck_tile::bf16_t, ck_tile::int8_t>(t, a, s);
}
else if(t.in_type.compare("bf16") == 0 && t.out_type == "fp8")
{
return moe_smoothquant_dispatch<ck_tile::bf16_t, ck_tile::fp8_t>(t, a, s);
} }
else else
throw std::runtime_error("Without supported instances!"); throw std::runtime_error("Without supported instances!");
......
...@@ -11,7 +11,8 @@ ...@@ -11,7 +11,8 @@
using S = ck_tile::stream_config; using S = ck_tile::stream_config;
using A = moe_smoothquant_args; using A = moe_smoothquant_args;
template <typename DataType_, template <typename InputType_,
typename OutputType_,
ck_tile::index_t Repeat_M_, // each thread repeat along M ck_tile::index_t Repeat_M_, // each thread repeat along M
ck_tile::index_t Repeat_N_, // each thread repeat along N ck_tile::index_t Repeat_N_, // each thread repeat along N
ck_tile::index_t ThreadPerBlock_M_, // num threads along M ck_tile::index_t ThreadPerBlock_M_, // num threads along M
...@@ -19,7 +20,8 @@ template <typename DataType_, ...@@ -19,7 +20,8 @@ template <typename DataType_,
ck_tile::index_t Vector_N_, // vector size along N ck_tile::index_t Vector_N_, // vector size along N
bool kPadN_, bool kPadN_,
bool kTwoPass_> bool kTwoPass_>
using trait_ = moe_smoothquant_traits_<DataType_, using trait_ = moe_smoothquant_traits_<InputType_,
OutputType_,
Repeat_M_, Repeat_M_,
Repeat_N_, Repeat_N_,
ThreadPerBlock_M_, ThreadPerBlock_M_,
...@@ -31,14 +33,15 @@ using trait_ = moe_smoothquant_traits_<DataType_, ...@@ -31,14 +33,15 @@ using trait_ = moe_smoothquant_traits_<DataType_,
template <typename Traits_> template <typename Traits_>
float moe_smoothquant_(const S& s, A a) float moe_smoothquant_(const S& s, A a)
{ {
using DataType = typename Traits_::DataType; using InputType = typename Traits_::InputType;
using OutputType = typename Traits_::OutputType;
using PipelineProblem = ck_tile::SmoothquantPipelineProblem< using PipelineProblem = ck_tile::SmoothquantPipelineProblem<
typename MoeSmoothquantTypeConfig<DataType>::XDataType, typename MoeSmoothquantTypeConfig<InputType, OutputType>::XDataType,
typename MoeSmoothquantTypeConfig<DataType>::SmoothScaleDataType, typename MoeSmoothquantTypeConfig<InputType, OutputType>::SmoothScaleDataType,
typename MoeSmoothquantTypeConfig<DataType>::ComputeDataType, typename MoeSmoothquantTypeConfig<InputType, OutputType>::ComputeDataType,
typename MoeSmoothquantTypeConfig<DataType>::YScaleDataType, typename MoeSmoothquantTypeConfig<InputType, OutputType>::YScaleDataType,
typename MoeSmoothquantTypeConfig<DataType>::QYDataType, typename MoeSmoothquantTypeConfig<InputType, OutputType>::QYDataType,
typename Traits_::Shape, typename Traits_::Shape,
Traits_::kPadN, Traits_::kPadN,
Traits_::kTwoPass>; Traits_::kTwoPass>;
......
...@@ -63,7 +63,8 @@ auto create_args(int argc, char* argv[]) ...@@ -63,7 +63,8 @@ auto create_args(int argc, char* argv[])
.insert("stride", "-1", "stride per row, if -1 then equal to hidden_size") .insert("stride", "-1", "stride per row, if -1 then equal to hidden_size")
.insert("v", "1", "cpu validation or not") .insert("v", "1", "cpu validation or not")
.insert("kname", "1", "print kernel name or not") .insert("kname", "1", "print kernel name or not")
.insert("prec", "fp16", "precision") .insert("prec_i", "fp16", "input precision, fp16/bf16")
.insert("prec_o", "int8", "precision, int8/fp8")
.insert("warmup", "5", "cold iter") .insert("warmup", "5", "cold iter")
.insert("repeat", "20", "hot iter"); .insert("repeat", "20", "hot iter");
...@@ -71,7 +72,7 @@ auto create_args(int argc, char* argv[]) ...@@ -71,7 +72,7 @@ auto create_args(int argc, char* argv[])
return std::make_tuple(result, arg_parser); return std::make_tuple(result, arg_parser);
} }
template <typename DataType> template <typename InputType, typename OutputType>
bool run(const ck_tile::ArgParser& arg_parser) bool run(const ck_tile::ArgParser& arg_parser)
{ {
ck_tile::index_t tokens = arg_parser.get_int("t"); ck_tile::index_t tokens = arg_parser.get_int("t");
...@@ -81,7 +82,8 @@ bool run(const ck_tile::ArgParser& arg_parser) ...@@ -81,7 +82,8 @@ bool run(const ck_tile::ArgParser& arg_parser)
stride = hidden_size; stride = hidden_size;
ck_tile::index_t experts = arg_parser.get_int("e"); ck_tile::index_t experts = arg_parser.get_int("e");
ck_tile::index_t topk = arg_parser.get_int("k"); ck_tile::index_t topk = arg_parser.get_int("k");
std::string data_type = arg_parser.get_str("prec"); std::string prec_i = arg_parser.get_str("prec_i");
std::string prec_o = arg_parser.get_str("prec_o");
int kname = arg_parser.get_int("kname"); int kname = arg_parser.get_int("kname");
int do_validation = arg_parser.get_int("v"); int do_validation = arg_parser.get_int("v");
int warmup = arg_parser.get_int("warmup"); int warmup = arg_parser.get_int("warmup");
...@@ -89,7 +91,7 @@ bool run(const ck_tile::ArgParser& arg_parser) ...@@ -89,7 +91,7 @@ bool run(const ck_tile::ArgParser& arg_parser)
assert(stride >= hidden_size); assert(stride >= hidden_size);
using TypeConfig = MoeSmoothquantTypeConfig<DataType>; using TypeConfig = MoeSmoothquantTypeConfig<InputType, OutputType>;
using XDataType = typename TypeConfig::XDataType; using XDataType = typename TypeConfig::XDataType;
using SmoothScaleDataType = typename TypeConfig::SmoothScaleDataType; using SmoothScaleDataType = typename TypeConfig::SmoothScaleDataType;
...@@ -122,11 +124,11 @@ bool run(const ck_tile::ArgParser& arg_parser) ...@@ -122,11 +124,11 @@ bool run(const ck_tile::ArgParser& arg_parser)
smscale_buf.ToDevice(smscale_host.data()); smscale_buf.ToDevice(smscale_host.data());
topk_ids_buf.ToDevice(topk_ids_host.data()); topk_ids_buf.ToDevice(topk_ids_host.data());
std::cout << "[" << data_type << "]" std::cout << "[" << prec_i << "-" << prec_o << "]"
<< " tokens:" << tokens << ", hidden_size:" << hidden_size << ", stride:" << stride << " tokens:" << tokens << ", hidden_size:" << hidden_size << ", stride:" << stride
<< ", experts:" << experts << ", topk:" << topk << std::flush; << ", experts:" << experts << ", topk:" << topk << std::flush;
moe_smoothquant_traits traits{data_type}; moe_smoothquant_traits traits{prec_i, prec_o};
moe_smoothquant_args args{x_buf.GetDeviceBuffer(), moe_smoothquant_args args{x_buf.GetDeviceBuffer(),
smscale_buf.GetDeviceBuffer(), smscale_buf.GetDeviceBuffer(),
...@@ -251,14 +253,23 @@ int main(int argc, char* argv[]) ...@@ -251,14 +253,23 @@ int main(int argc, char* argv[])
if(!result) if(!result)
return -1; return -1;
const std::string data_type = arg_parser.get_str("prec"); const std::string prec_i = arg_parser.get_str("prec_i");
if(data_type == "fp16") const std::string prec_o = arg_parser.get_str("prec_o");
if(prec_i == "fp16" && prec_o == "int8")
{
return run<ck_tile::half_t, ck_tile::int8_t>(arg_parser) ? 0 : -2;
}
else if(prec_i == "fp16" && prec_o == "fp8")
{
return run<ck_tile::half_t, ck_tile::fp8_t>(arg_parser) ? 0 : -2;
}
else if(prec_i == "bf16" && prec_o == "int8")
{ {
return run<ck_tile::half_t>(arg_parser) ? 0 : -2; return run<ck_tile::bf16_t, ck_tile::int8_t>(arg_parser) ? 0 : -2;
} }
else if(data_type == "bf16") else if(prec_i == "bf16" && prec_o == "fp8")
{ {
return run<ck_tile::bf16_t>(arg_parser) ? 0 : -2; return run<ck_tile::bf16_t, ck_tile::fp8_t>(arg_parser) ? 0 : -2;
} }
return -3; return -3;
......
...@@ -8,26 +8,13 @@ ...@@ -8,26 +8,13 @@
#include "ck_tile/ops/smoothquant.hpp" #include "ck_tile/ops/smoothquant.hpp"
#include <string> #include <string>
template <typename DataType> template <typename InputType, typename OutputType>
struct MoeSmoothquantTypeConfig; struct MoeSmoothquantTypeConfig
template <>
struct MoeSmoothquantTypeConfig<ck_tile::half_t>
{
using XDataType = ck_tile::half_t;
using SmoothScaleDataType = float;
using YScaleDataType = float;
using QYDataType = ck_tile::int8_t;
using ComputeDataType = float;
};
template <>
struct MoeSmoothquantTypeConfig<ck_tile::bf16_t>
{ {
using XDataType = ck_tile::bf16_t; using XDataType = InputType;
using SmoothScaleDataType = float; using SmoothScaleDataType = float;
using YScaleDataType = float; using YScaleDataType = float;
using QYDataType = ck_tile::int8_t; using QYDataType = OutputType;
using ComputeDataType = float; using ComputeDataType = float;
}; };
...@@ -37,7 +24,8 @@ struct moe_smoothquant_args : public ck_tile::MoeSmoothquantHostArgs ...@@ -37,7 +24,8 @@ struct moe_smoothquant_args : public ck_tile::MoeSmoothquantHostArgs
}; };
// this is used to pattern-match internl kernel implementation, not to instantiate kernel // this is used to pattern-match internl kernel implementation, not to instantiate kernel
template <typename DataType_, template <typename InputType_,
typename OutputType_,
ck_tile::index_t Repeat_M_, // each thread repeat along M ck_tile::index_t Repeat_M_, // each thread repeat along M
ck_tile::index_t Repeat_N_, // each thread repeat along N ck_tile::index_t Repeat_N_, // each thread repeat along N
ck_tile::index_t ThreadPerBlock_M_, // num threads along M ck_tile::index_t ThreadPerBlock_M_, // num threads along M
...@@ -47,7 +35,8 @@ template <typename DataType_, ...@@ -47,7 +35,8 @@ template <typename DataType_,
bool kTwoPass_> bool kTwoPass_>
struct moe_smoothquant_traits_ struct moe_smoothquant_traits_
{ {
using DataType = ck_tile::remove_cvref_t<DataType_>; using InputType = ck_tile::remove_cvref_t<InputType_>;
using OutputType = ck_tile::remove_cvref_t<OutputType_>;
static constexpr bool is_warp_per_row = ThreadPerBlock_N_ <= warpSize; static constexpr bool is_warp_per_row = ThreadPerBlock_N_ <= warpSize;
static_assert((ThreadPerBlock_M_ * ThreadPerBlock_N_) % warpSize == 0); static_assert((ThreadPerBlock_M_ * ThreadPerBlock_N_) % warpSize == 0);
...@@ -108,7 +97,8 @@ float moe_smoothquant_(const ck_tile::stream_config& s, moe_smoothquant_args a); ...@@ -108,7 +97,8 @@ float moe_smoothquant_(const ck_tile::stream_config& s, moe_smoothquant_args a);
// This is the public API, will be generated by script // This is the public API, will be generated by script
struct moe_smoothquant_traits struct moe_smoothquant_traits
{ {
std::string data_type; std::string in_type; // input type
std::string out_type; // output type
}; };
float moe_smoothquant(moe_smoothquant_traits, moe_smoothquant_args, const ck_tile::stream_config&); float moe_smoothquant(moe_smoothquant_traits, moe_smoothquant_args, const ck_tile::stream_config&);
...@@ -2,29 +2,31 @@ ...@@ -2,29 +2,31 @@
EXE=build/bin/tile_example_moe_smoothquant EXE=build/bin/tile_example_moe_smoothquant
for pr_i in "fp16" "bf16" ; do for pr_i in "fp16" "bf16" ; do
$EXE -prec=$pr_i -t=99 -h=13 for pr_o in "int8" "fp8" ; do
$EXE -prec=$pr_i -t=17 -h=16 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=99 -h=13
$EXE -prec=$pr_i -t=1 -h=100 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=17 -h=16
$EXE -prec=$pr_i -t=4 -h=128 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=1 -h=100
$EXE -prec=$pr_i -t=80 -h=127 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=4 -h=128
$EXE -prec=$pr_i -t=22 -h=255 -stride=256 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=80 -h=127
$EXE -prec=$pr_i -t=7 -h=599 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=22 -h=255 -stride=256
$EXE -prec=$pr_i -t=19 -h=512 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=7 -h=599
$EXE -prec=$pr_i -t=33 -h=313 -stride=1000 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=19 -h=512
$EXE -prec=$pr_i -t=11 -h=510 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=33 -h=313 -stride=1000
$EXE -prec=$pr_i -t=171 -h=676 -stride=818 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=11 -h=510
$EXE -prec=$pr_i -t=91 -h=636 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=171 -h=676 -stride=818
$EXE -prec=$pr_i -t=12 -h=768 -stride=800 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=91 -h=636
$EXE -prec=$pr_i -t=100 -h=766 -stride=812 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=12 -h=768 -stride=800
$EXE -prec=$pr_i -t=31 -h=1024 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=100 -h=766 -stride=812
$EXE -prec=$pr_i -t=64 -h=1000 -stride=1004 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=31 -h=1024
$EXE -prec=$pr_i -t=8 -h=1501 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=64 -h=1000 -stride=1004
$EXE -prec=$pr_i -t=3 -h=1826 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=8 -h=1501
$EXE -prec=$pr_i -t=5 -h=2040 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=3 -h=1826
$EXE -prec=$pr_i -t=7 -h=2734 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=5 -h=2040
$EXE -prec=$pr_i -t=1 -h=3182 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=7 -h=2734
$EXE -prec=$pr_i -t=9 -h=4096 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=1 -h=3182
$EXE -prec=$pr_i -t=3 -h=8192 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=9 -h=4096
$EXE -prec=$pr_i -t=1 -h=10547 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=3 -h=8192
$EXE -prec=$pr_i -t=3 -h=17134 $EXE -prec_i=$pr_i -prec_o=$pr_o -t=1 -h=10547
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=3 -h=17134
done
done done
// SPDX-License-Identifier: MIT // SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved. // Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <hip/hip_runtime.h> #include <hip/hip_runtime.h>
...@@ -51,7 +51,7 @@ float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stre ...@@ -51,7 +51,7 @@ float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stre
ck_tile::sequence<M_Warp, N_Warp, K_Warp>, ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>; ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
using TilePartitioner = ck_tile::GemmTilePartitioner<CodegenGemmShape>; using TilePartitioner = ck_tile::GemmTile2DPartitioner<CodegenGemmShape>;
using GemmEpilogue = std::conditional_t< using GemmEpilogue = std::conditional_t<
CShuffleEpilogue, CShuffleEpilogue,
...@@ -63,8 +63,8 @@ float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stre ...@@ -63,8 +63,8 @@ float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stre
kOutputRank, kOutputRank,
1, 1,
0, 0,
TilePartitioner::kM, TilePartitioner::MPerBlock,
TilePartitioner::kN>>, TilePartitioner::NPerBlock>>,
ck_tile::Default2DEpilogue< ck_tile::Default2DEpilogue<
ck_tile::Default2DEpilogueProblem<AccDataType, CDataType, kPadM, kPadN>>>; ck_tile::Default2DEpilogueProblem<AccDataType, CDataType, kPadM, kPadN>>>;
......
...@@ -15,7 +15,6 @@ ...@@ -15,7 +15,6 @@
#include "ck_tile/ops/gemm.hpp" #include "ck_tile/ops/gemm.hpp"
#include "ck_tile/host.hpp" #include "ck_tile/host.hpp"
#include "grouped_gemm.hpp" #include "grouped_gemm.hpp"
#include "utils.hpp"
namespace { namespace {
...@@ -102,7 +101,7 @@ using Kernel = ck_tile::GroupedGemmKernel<TilePartitioner, ...@@ -102,7 +101,7 @@ using Kernel = ck_tile::GroupedGemmKernel<TilePartitioner,
GemmEpilogue<CLayout>>; GemmEpilogue<CLayout>>;
}; // namespace }; // namespace
std::size_t GetWorkspaceSize(const std::vector<grouped_gemm_kargs>& gemm_descs) std::size_t get_workspace_size(const std::vector<grouped_gemm_kargs>& gemm_descs)
{ {
return ::Kernel<std::nullptr_t, std::nullptr_t, std::nullptr_t>::GetWorkSpaceSize(gemm_descs); return ::Kernel<std::nullptr_t, std::nullptr_t, std::nullptr_t>::GetWorkSpaceSize(gemm_descs);
} }
......
...@@ -52,8 +52,8 @@ auto create_args(int argc, char* argv[]) ...@@ -52,8 +52,8 @@ auto create_args(int argc, char* argv[])
return std::make_tuple(result, arg_parser); return std::make_tuple(result, arg_parser);
} }
std::size_t GetWorkspaceSize(const std::vector<grouped_gemm_kargs>& gemm_descs); std::size_t get_workspace_size(const std::vector<grouped_gemm_kargs>& gemm_descs);
float grouped_gemm_calc(const std::vector<grouped_gemm_kargs>& gemm_descs, float grouped_gemm(const std::vector<grouped_gemm_kargs>& gemm_descs,
const ck_tile::stream_config& s, const ck_tile::stream_config& s,
void* p_workspace_); void* p_workspace_);
...@@ -31,7 +31,7 @@ float invoke_gemm(int n_warmup, ...@@ -31,7 +31,7 @@ float invoke_gemm(int n_warmup,
{ {
ck_tile::DeviceMem gemm_workspace; ck_tile::DeviceMem gemm_workspace;
gemm_workspace.Realloc(GetWorkspaceSize(args)); gemm_workspace.Realloc(get_workspace_size(args));
float ave_time = grouped_gemm<ALayout, BLayout, CLayout>( float ave_time = grouped_gemm<ALayout, BLayout, CLayout>(
args, args,
...@@ -128,16 +128,16 @@ int run_grouped_gemm_example_with_layouts(int argc, ...@@ -128,16 +128,16 @@ int run_grouped_gemm_example_with_layouts(int argc,
const ck_tile::index_t N = Ns[i]; const ck_tile::index_t N = Ns[i];
const ck_tile::index_t K = Ks[i]; const ck_tile::index_t K = Ks[i];
stride_As[i] = f_get_default_stride(M, N, stride_As[i], a_layout); stride_As[i] = ck_tile::get_default_stride(M, N, stride_As[i], a_layout);
stride_Bs[i] = f_get_default_stride(K, N, stride_Bs[i], b_layout); stride_Bs[i] = ck_tile::get_default_stride(K, N, stride_Bs[i], b_layout);
stride_Cs[i] = f_get_default_stride(M, N, stride_Cs[i], CLayout{}); stride_Cs[i] = ck_tile::get_default_stride(M, N, stride_Cs[i], CLayout{});
a_m_k_tensors.push_back( a_m_k_tensors.push_back(ck_tile::HostTensor<ADataType>(
ck_tile::HostTensor<ADataType>(f_host_tensor_descriptor(M, K, stride_As[i], a_layout))); ck_tile::host_tensor_descriptor(M, K, stride_As[i], a_layout)));
b_k_n_tensors.push_back( b_k_n_tensors.push_back(ck_tile::HostTensor<BDataType>(
ck_tile::HostTensor<BDataType>(f_host_tensor_descriptor(K, N, stride_Bs[i], b_layout))); ck_tile::host_tensor_descriptor(K, N, stride_Bs[i], b_layout)));
c_m_n_tensors.push_back(ck_tile::HostTensor<CDataType>( c_m_n_tensors.push_back(ck_tile::HostTensor<CDataType>(
f_host_tensor_descriptor(M, N, stride_Cs[i], CLayout{}))); ck_tile::host_tensor_descriptor(M, N, stride_Cs[i], CLayout{})));
std::cout << "gemm[" << i << "]" std::cout << "gemm[" << i << "]"
<< " a_m_k: " << a_m_k_tensors[i].mDesc << " b_k_n: " << b_k_n_tensors[i].mDesc << " a_m_k: " << a_m_k_tensors[i].mDesc << " b_k_n: " << b_k_n_tensors[i].mDesc
...@@ -178,7 +178,7 @@ int run_grouped_gemm_example_with_layouts(int argc, ...@@ -178,7 +178,7 @@ int run_grouped_gemm_example_with_layouts(int argc,
for(int i = 0; i < group_count; ++i) for(int i = 0; i < group_count; ++i)
{ {
ck_tile::HostTensor<CDataType> c_m_n_host_ref( ck_tile::HostTensor<CDataType> c_m_n_host_ref(
f_host_tensor_descriptor(Ms[i], Ns[i], stride_Cs[i], CLayout{})); ck_tile::host_tensor_descriptor(Ms[i], Ns[i], stride_Cs[i], CLayout{}));
c_m_n_host_ref.SetZero(); c_m_n_host_ref.SetZero();
ck_tile::reference_gemm<ADataType, BDataType, AccDataType, CDataType>( ck_tile::reference_gemm<ADataType, BDataType, AccDataType, CDataType>(
a_m_k_tensors[i], b_k_n_tensors[i], c_m_n_host_ref); a_m_k_tensors[i], b_k_n_tensors[i], c_m_n_host_ref);
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
template <typename TLayout>
constexpr auto
f_host_tensor_descriptor(std::size_t row, std::size_t col, std::size_t stride, TLayout layout)
{
using namespace ck_tile::literals;
if constexpr(std::is_same_v<decltype(layout), ck_tile::tensor_layout::gemm::RowMajor>)
{
return ck_tile::HostTensorDescriptor({row, col}, {stride, 1_uz});
}
else
{
return ck_tile::HostTensorDescriptor({row, col}, {1_uz, stride});
}
}
template <typename TLayout>
constexpr auto
f_get_default_stride(std::size_t row, std::size_t col, std::size_t stride, TLayout layout)
{
if(stride == 0)
{
if constexpr(std::is_same_v<decltype(layout), ck_tile::tensor_layout::gemm::RowMajor>)
{
return col;
}
else
{
return row;
}
}
else
return stride;
}
...@@ -56,7 +56,6 @@ ...@@ -56,7 +56,6 @@
#include "ck_tile/core/tensor/tile_window_utils.hpp" #include "ck_tile/core/tensor/tile_window_utils.hpp"
#include "ck_tile/core/tensor/transpose_tile.hpp" #include "ck_tile/core/tensor/transpose_tile.hpp"
#include "ck_tile/core/tensor/update_tile.hpp" #include "ck_tile/core/tensor/update_tile.hpp"
#include "ck_tile/core/utility/amd_address_space.hpp"
#include "ck_tile/core/utility/bit_cast.hpp" #include "ck_tile/core/utility/bit_cast.hpp"
#include "ck_tile/core/utility/functional.hpp" #include "ck_tile/core/utility/functional.hpp"
#include "ck_tile/core/utility/functional_with_tuple.hpp" #include "ck_tile/core/utility/functional_with_tuple.hpp"
......
// SPDX-License-Identifier: MIT // SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved. // Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once #pragma once
...@@ -12,18 +12,37 @@ ...@@ -12,18 +12,37 @@
namespace ck_tile { namespace ck_tile {
enum struct address_space_enum template <typename, bool>
struct safe_underlying_type;
template <typename T>
struct safe_underlying_type<T, true>
{
using type = std::underlying_type_t<T>;
};
template <typename T>
struct safe_underlying_type<T, false>
{
using type = void;
};
template <typename T>
using safe_underlying_type_t = typename safe_underlying_type<T, std::is_enum<T>::value>::type;
enum struct address_space_enum : std::uint16_t
{ {
generic, generic = 0,
global, global,
lds, lds,
sgpr, sgpr,
vgpr, constant,
vgpr
}; };
enum struct memory_operation_enum enum struct memory_operation_enum : std::uint16_t
{ {
set, set = 0,
atomic_add, atomic_add,
atomic_max, atomic_max,
add add
...@@ -109,4 +128,30 @@ CK_TILE_DEVICE void s_nop(index_t cnt = 0) ...@@ -109,4 +128,30 @@ CK_TILE_DEVICE void s_nop(index_t cnt = 0)
#endif #endif
} }
#define CK_CONSTANT_ADDRESS_SPACE \
__attribute__((address_space( \
static_cast<safe_underlying_type_t<address_space_enum>>(address_space_enum::constant))))
template <typename T>
__device__ T* cast_pointer_to_generic_address_space(T CK_CONSTANT_ADDRESS_SPACE* p)
{
// cast a pointer in "Constant" address space (4) to "Generic" address space (0)
// only c-style pointer cast seems be able to be compiled
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wold-style-cast"
return (T*)(p); // NOLINT(old-style-cast)
#pragma clang diagnostic pop
}
template <typename T>
__host__ __device__ T CK_CONSTANT_ADDRESS_SPACE* cast_pointer_to_constant_address_space(T* p)
{
// cast a pointer in "Generic" address space (0) to "Constant" address space (4)
// only c-style pointer cast seems be able to be compiled;
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wold-style-cast"
return (T CK_CONSTANT_ADDRESS_SPACE*)p; // NOLINT(old-style-cast)
#pragma clang diagnostic pop
}
} // namespace ck_tile } // namespace ck_tile
// SPDX-License-Identifier: MIT
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck_tile/core/config.hpp"
// Address Space for AMDGCN
// https://llvm.org/docs/AMDGPUUsage.html#address-space
namespace ck_tile {
#define CK_CONSTANT_ADDRESS_SPACE __attribute__((address_space(4)))
template <typename T>
__device__ T* cast_pointer_to_generic_address_space(T CK_CONSTANT_ADDRESS_SPACE* p)
{
// cast a pointer in "Constant" address space (4) to "Generic" address space (0)
// only c-style pointer cast seems be able to be compiled
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wold-style-cast"
return (T*)p; // NOLINT(old-style-cast)
#pragma clang diagnostic pop
}
template <typename T>
__host__ __device__ T CK_CONSTANT_ADDRESS_SPACE* cast_pointer_to_constant_address_space(T* p)
{
// cast a pointer in "Generic" address space (0) to "Constant" address space (4)
// only c-style pointer cast seems be able to be compiled
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wold-style-cast"
return (T CK_CONSTANT_ADDRESS_SPACE*)p; // NOLINT(old-style-cast)
#pragma clang diagnostic pop
}
} // namespace ck_tile
...@@ -109,4 +109,22 @@ CK_TILE_HOST_DEVICE PY c_style_pointer_cast(PX p_x) ...@@ -109,4 +109,22 @@ CK_TILE_HOST_DEVICE PY c_style_pointer_cast(PX p_x)
#pragma clang diagnostic pop #pragma clang diagnostic pop
} }
template <typename CompareTo, typename... Rest>
struct is_any_of : std::false_type
{
};
template <typename CompareTo, typename FirstType>
struct is_any_of<CompareTo, FirstType> : std::is_same<CompareTo, FirstType>
{
};
template <typename CompareTo, typename FirstType, typename... Rest>
struct is_any_of<CompareTo, FirstType, Rest...>
: std::integral_constant<bool,
std::is_same<CompareTo, FirstType>::value ||
is_any_of<CompareTo, Rest...>::value>
{
};
} // namespace ck_tile } // namespace ck_tile
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