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"official/projects/mobilebert/distillation.py" did not exist on "2514be1d57e39b7c643be29a0bd355b71f2793bf"
Commit a7ae4f8e authored by Astha Rai's avatar Astha Rai
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Merge branch 'codegen_hiprtc' of github.com:ROCm/composable_kernel into codegen_hiprtc

parents a6055c3c 781005a5
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example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_bf16_n64_n128_instance.cpp
View file @ a7ae4f8e
......@@ -6,7 +6,11 @@
// clang-format off
// rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::bf16_t, 1, 1, 4, 64, 1, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, 1, 1, 4, 64, 2, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, 1, 2, 4, 64, 1, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::int8_t, 1, 1, 4, 64, 1, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::int8_t, 1, 1, 4, 64, 2, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::int8_t, 1, 2, 4, 64, 1, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::fp8_t, 1, 1, 4, 64, 1, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::fp8_t, 1, 1, 4, 64, 2, true , false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::fp8_t, 1, 2, 4, 64, 1, true , false>>(const S&, A);
// clang-format on
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_bf16_n768_instance.cpp
View file @ a7ae4f8e
......@@ -6,7 +6,11 @@
// clang-format off
// rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::bf16_t, 1, 3, 4, 64, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, 1, 6, 4, 64, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, 1, 12, 4, 64, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::int8_t, 1, 3, 4, 64, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::int8_t, 1, 6, 4, 64, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::int8_t, 1, 12, 4, 64, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::fp8_t, 1, 3, 4, 64, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::fp8_t, 1, 6, 4, 64, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::bf16_t, ck_tile::fp8_t, 1, 12, 4, 64, 1, true, false>>(const S&, A);
// clang-format on
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n1024_instance.cpp
View file @ a7ae4f8e
......@@ -15,8 +15,13 @@ template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 16, 4, 64, 1, true
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 1, 1, 256, 4, true ,false>>(const S&, A);
#endif
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 1, 2, 128, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 2, 128, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 2, 128, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 1, 256, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 1, 2, 128, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 2, 128, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 2, 128, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 1, 256, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 1, 2, 128, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 2, 128, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 2, 128, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 1, 256, 1, true, false>>(const S&, A);
// clang-format on
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n1536_instance.cpp
View file @ a7ae4f8e
......@@ -6,8 +6,13 @@
// clang-format off
// rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 3, 4, 64, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 3, 2, 128, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 3, 1, 256, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 6, 1, 256, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 3, 4, 64, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 3, 2, 128, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 3, 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, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 3, 4, 64, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 3, 2, 128, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 3, 1, 256, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 6, 1, 256, 1, true, false>>(const S&, A);
// clang-format on
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n2048_instance.cpp
View file @ a7ae4f8e
......@@ -6,9 +6,13 @@
// clang-format off
// rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 1, 1, 256, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 1, 256, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 1, 256, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 8, 1, 256, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 1, 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, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 4, 1, 256, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 8, 1, 256, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 1, 1, 256, 8, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 1, 256, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 1, 256, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 8, 1, 256, 1, true, false>>(const S&, A);
// clang-format on
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n256_instance.cpp
View file @ a7ae4f8e
......@@ -6,7 +6,11 @@
// clang-format off
// rm rn tm tn vn pd 2p
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 1, 4, 64, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 2, 4, 64, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, 1, 4, 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, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::int8_t, 1, 2, 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, 1, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 1, 4, 64, 4, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 2, 4, 64, 2, true, false>>(const S&, A);
template float moe_smoothquant_<trait_<ck_tile::fp16_t, ck_tile::fp8_t, 1, 4, 4, 64, 1, true, false>>(const S&, A);
// clang-format on
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n3072_instance.cpp
View file @ a7ae4f8e
......@@ -6,9 +6,13 @@
// clang-format off
// 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, 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, 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, 128, 8,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, ck_tile::int8_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, 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
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n4096_instance.cpp
View file @ a7ae4f8e
......@@ -6,9 +6,13 @@
// clang-format off
// 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, 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, 1, 4, 1, 1024, 1, 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, ck_tile::int8_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, 2, 1, 1024, 2, 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
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n4096_tp_instance.cpp
View file @ a7ae4f8e
......@@ -6,9 +6,13 @@
// clang-format off
// 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, 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, 1, 4, 1, 1024, 1, 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, ck_tile::int8_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, 2, 1, 1024, 2, 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
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n512_instance.cpp
View file @ a7ae4f8e
......@@ -6,8 +6,13 @@
// clang-format off
// 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, 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, 1, 8, 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, 8, 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, ck_tile::int8_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, 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
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n64_n128_instance.cpp
View file @ a7ae4f8e
......@@ -6,7 +6,11 @@
// clang-format off
// 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, 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, 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, 2, 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
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fp16_n768_instance.cpp
View file @ a7ae4f8e
......@@ -6,7 +6,11 @@
// clang-format off
// 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, 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, 3, 4, 64, 4, 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, 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
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_fwd_api.cpp
View file @ a7ae4f8e
......@@ -4,7 +4,8 @@
#include <ck_tile/core.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_N_, // each thread repeat along N
ck_tile::index_t ThreadPerBlock_M_, // num threads along M
......@@ -12,7 +13,8 @@ template <typename DataType_,
ck_tile::index_t Vector_N_, // vector size along N
bool kPadN_,
bool kTwoPass_>
using trait_ = moe_smoothquant_traits_<DataType_,
using trait_ = moe_smoothquant_traits_<InType,
OutType,
Repeat_M_,
Repeat_N_,
ThreadPerBlock_M_,
......@@ -21,108 +23,108 @@ using trait_ = moe_smoothquant_traits_<DataType_,
kPadN_,
kTwoPass_>;
template <typename data_type>
template <typename in_type, typename out_type>
float moe_smoothquant_dispatch(moe_smoothquant_traits /*t*/,
moe_smoothquant_args a,
const ck_tile::stream_config& s)
{
float r = -1;
// clang-format off
// rm rn tm tn vn pd 2p
// rm rn tm tn vn pd 2p
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) {
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
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) {
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)
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
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) {
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)
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)
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
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) {
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)
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
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) {
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)
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)
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
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) {
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)
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)
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
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) {
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)
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)
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
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) {
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)
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)
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
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) {
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)
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)
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
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) {
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)
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)
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
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;
// clang-format on
......@@ -132,13 +134,21 @@ float moe_smoothquant(moe_smoothquant_traits t,
moe_smoothquant_args a,
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
throw std::runtime_error("Without supported instances!");
......
example/ck_tile/14_moe_smoothquant/instances/moe_smoothquant_instance_common.hpp
View file @ a7ae4f8e
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#include <ck_tile/core.hpp>
#include "moe_smoothquant.hpp"
......@@ -11,7 +11,8 @@
using S = ck_tile::stream_config;
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_N_, // each thread repeat along N
ck_tile::index_t ThreadPerBlock_M_, // num threads along M
......@@ -19,7 +20,8 @@ template <typename DataType_,
ck_tile::index_t Vector_N_, // vector size along N
bool kPadN_,
bool kTwoPass_>
using trait_ = moe_smoothquant_traits_<DataType_,
using trait_ = moe_smoothquant_traits_<InputType_,
OutputType_,
Repeat_M_,
Repeat_N_,
ThreadPerBlock_M_,
......@@ -31,14 +33,15 @@ using trait_ = moe_smoothquant_traits_<DataType_,
template <typename Traits_>
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<
typename MoeSmoothquantTypeConfig<DataType>::XDataType,
typename MoeSmoothquantTypeConfig<DataType>::XScaleDataType,
typename MoeSmoothquantTypeConfig<DataType>::ComputeDataType,
typename MoeSmoothquantTypeConfig<DataType>::YScaleDataType,
typename MoeSmoothquantTypeConfig<DataType>::QYDataType,
typename MoeSmoothquantTypeConfig<InputType, OutputType>::XDataType,
typename MoeSmoothquantTypeConfig<InputType, OutputType>::SmoothScaleDataType,
typename MoeSmoothquantTypeConfig<InputType, OutputType>::ComputeDataType,
typename MoeSmoothquantTypeConfig<InputType, OutputType>::YScaleDataType,
typename MoeSmoothquantTypeConfig<InputType, OutputType>::QYDataType,
typename Traits_::Shape,
Traits_::kPadN,
Traits_::kTwoPass>;
......
example/ck_tile/14_moe_smoothquant/moe_smoothquant.cpp
View file @ a7ae4f8e
......@@ -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("v", "1", "cpu validation 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("repeat", "20", "hot iter");
......@@ -71,7 +72,7 @@ auto create_args(int argc, char* argv[])
return std::make_tuple(result, arg_parser);
}
template <typename DataType>
template <typename InputType, typename OutputType>
bool run(const ck_tile::ArgParser& arg_parser)
{
ck_tile::index_t tokens = arg_parser.get_int("t");
......@@ -81,7 +82,8 @@ bool run(const ck_tile::ArgParser& arg_parser)
stride = hidden_size;
ck_tile::index_t experts = arg_parser.get_int("e");
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 do_validation = arg_parser.get_int("v");
int warmup = arg_parser.get_int("warmup");
......@@ -89,17 +91,17 @@ bool run(const ck_tile::ArgParser& arg_parser)
assert(stride >= hidden_size);
using TypeConfig = MoeSmoothquantTypeConfig<DataType>;
using TypeConfig = MoeSmoothquantTypeConfig<InputType, OutputType>;
using XDataType = typename TypeConfig::XDataType;
using XScaleDataType = typename TypeConfig::XScaleDataType;
using YScaleDataType = typename TypeConfig::YScaleDataType;
using QYDataType = typename TypeConfig::QYDataType;
using ComputeDataType = typename TypeConfig::ComputeDataType;
using XDataType = typename TypeConfig::XDataType;
using SmoothScaleDataType = typename TypeConfig::SmoothScaleDataType;
using YScaleDataType = typename TypeConfig::YScaleDataType;
using QYDataType = typename TypeConfig::QYDataType;
using ComputeDataType = typename TypeConfig::ComputeDataType;
// host verify
ck_tile::HostTensor<XDataType> x_host({tokens, hidden_size}, {stride, 1});
ck_tile::HostTensor<XScaleDataType> xscale_host({experts * hidden_size});
ck_tile::HostTensor<SmoothScaleDataType> smscale_host({experts * hidden_size});
ck_tile::HostTensor<ck_tile::index_t> topk_ids_host({tokens, topk});
ck_tile::HostTensor<YScaleDataType> yscale_host_ref({topk * tokens}, {1});
......@@ -110,26 +112,26 @@ bool run(const ck_tile::ArgParser& arg_parser)
topid_unique_gen<ck_tile::index_t>(topk_ids_host.mData, tokens, topk, experts, 11937);
ck_tile::FillUniformDistribution<XDataType>{-.5f, .5f}(x_host);
ck_tile::FillUniformDistribution<XScaleDataType>{1e-3, .5f}(xscale_host);
ck_tile::FillUniformDistribution<SmoothScaleDataType>{1e-3, .5f}(smscale_host);
ck_tile::DeviceMem x_buf(x_host.get_element_space_size_in_bytes());
ck_tile::DeviceMem xscale_buf(xscale_host.get_element_space_size_in_bytes());
ck_tile::DeviceMem smscale_buf(smscale_host.get_element_space_size_in_bytes());
ck_tile::DeviceMem topk_ids_buf(topk_ids_host.get_element_space_size_in_bytes());
ck_tile::DeviceMem yscale_buf(yscale_host_dev.get_element_space_size_in_bytes());
ck_tile::DeviceMem qy_buf(qy_host_dev.get_element_space_size_in_bytes());
x_buf.ToDevice(x_host.data());
xscale_buf.ToDevice(xscale_host.data());
smscale_buf.ToDevice(smscale_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
<< ", 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(),
xscale_buf.GetDeviceBuffer(),
smscale_buf.GetDeviceBuffer(),
topk_ids_buf.GetDeviceBuffer(),
yscale_buf.GetDeviceBuffer(),
qy_buf.GetDeviceBuffer(),
......@@ -143,9 +145,10 @@ bool run(const ck_tile::ArgParser& arg_parser)
float ave_time = moe_smoothquant(
traits, args, ck_tile::stream_config{nullptr, true, kname ? 1 : 0, warmup, repeat});
std::size_t num_byte =
sizeof(XDataType) * tokens * hidden_size + sizeof(XScaleDataType) * topk * hidden_size +
sizeof(YScaleDataType) * topk * tokens + sizeof(QYDataType) * topk * tokens * hidden_size;
std::size_t num_byte = sizeof(XDataType) * tokens * hidden_size +
sizeof(SmoothScaleDataType) * topk * hidden_size +
sizeof(YScaleDataType) * topk * tokens +
sizeof(QYDataType) * topk * tokens * hidden_size;
float gb_per_sec = num_byte / 1.E6 / ave_time;
std::cout << ", " << ave_time * 1.E3 << " us, " << gb_per_sec << " GB/s" << std::flush;
......@@ -165,11 +168,11 @@ bool run(const ck_tile::ArgParser& arg_parser)
for(int i_h = 0; i_h < hidden_size; ++i_h)
{
auto v_xscale = ck_tile::type_convert<ComputeDataType>(
xscale_host(i_expert * hidden_size + i_h));
auto v_smscale = ck_tile::type_convert<ComputeDataType>(
smscale_host(i_expert * hidden_size + i_h));
auto v_x = ck_tile::type_convert<ComputeDataType>(x_host(i_token, i_h));
// y_host(i_token * topk + i_topk, i_h) = v_x * v_xscale;
y_host(i_topk * tokens + i_token, i_h) = v_x * v_xscale;
// y_host(i_token * topk + i_topk, i_h) = v_x * v_smscale;
y_host(i_topk * tokens + i_token, i_h) = v_x * v_smscale;
}
}
};
......@@ -250,14 +253,23 @@ int main(int argc, char* argv[])
if(!result)
return -1;
const std::string data_type = arg_parser.get_str("prec");
if(data_type == "fp16")
const std::string prec_i = arg_parser.get_str("prec_i");
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;
......
example/ck_tile/14_moe_smoothquant/moe_smoothquant.hpp
View file @ a7ae4f8e
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
......@@ -8,27 +8,14 @@
#include "ck_tile/ops/smoothquant.hpp"
#include <string>
template <typename DataType>
struct MoeSmoothquantTypeConfig;
template <>
struct MoeSmoothquantTypeConfig<ck_tile::half_t>
{
using XDataType = ck_tile::half_t;
using XScaleDataType = float;
using YScaleDataType = float;
using QYDataType = ck_tile::int8_t;
using ComputeDataType = float;
};
template <>
struct MoeSmoothquantTypeConfig<ck_tile::bf16_t>
template <typename InputType, typename OutputType>
struct MoeSmoothquantTypeConfig
{
using XDataType = ck_tile::bf16_t;
using XScaleDataType = float;
using YScaleDataType = float;
using QYDataType = ck_tile::int8_t;
using ComputeDataType = float;
using XDataType = InputType;
using SmoothScaleDataType = float;
using YScaleDataType = float;
using QYDataType = OutputType;
using ComputeDataType = float;
};
// runtime args
......@@ -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
template <typename DataType_,
template <typename InputType_,
typename OutputType_,
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 ThreadPerBlock_M_, // num threads along M
......@@ -47,7 +35,8 @@ template <typename DataType_,
bool kTwoPass_>
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_assert((ThreadPerBlock_M_ * ThreadPerBlock_N_) % warpSize == 0);
......@@ -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
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&);
example/ck_tile/14_moe_smoothquant/script/smoke_test.sh
View file @ a7ae4f8e
......@@ -2,29 +2,31 @@
EXE=build/bin/tile_example_moe_smoothquant
for pr_i in "fp16" "bf16" ; do
$EXE -prec=$pr_i -t=99 -h=13
$EXE -prec=$pr_i -t=17 -h=16
$EXE -prec=$pr_i -t=1 -h=100
$EXE -prec=$pr_i -t=4 -h=128
$EXE -prec=$pr_i -t=80 -h=127
$EXE -prec=$pr_i -t=22 -h=255 -stride=256
$EXE -prec=$pr_i -t=7 -h=599
$EXE -prec=$pr_i -t=19 -h=512
$EXE -prec=$pr_i -t=33 -h=313 -stride=1000
$EXE -prec=$pr_i -t=11 -h=510
$EXE -prec=$pr_i -t=171 -h=676 -stride=818
$EXE -prec=$pr_i -t=91 -h=636
$EXE -prec=$pr_i -t=12 -h=768 -stride=800
$EXE -prec=$pr_i -t=100 -h=766 -stride=812
$EXE -prec=$pr_i -t=31 -h=1024
$EXE -prec=$pr_i -t=64 -h=1000 -stride=1004
$EXE -prec=$pr_i -t=8 -h=1501
$EXE -prec=$pr_i -t=3 -h=1826
$EXE -prec=$pr_i -t=5 -h=2040
$EXE -prec=$pr_i -t=7 -h=2734
$EXE -prec=$pr_i -t=1 -h=3182
$EXE -prec=$pr_i -t=9 -h=4096
$EXE -prec=$pr_i -t=3 -h=8192
$EXE -prec=$pr_i -t=1 -h=10547
$EXE -prec=$pr_i -t=3 -h=17134
for pr_o in "int8" "fp8" ; do
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=99 -h=13
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=17 -h=16
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=1 -h=100
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=4 -h=128
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=80 -h=127
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=22 -h=255 -stride=256
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=7 -h=599
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=19 -h=512
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=33 -h=313 -stride=1000
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=11 -h=510
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=171 -h=676 -stride=818
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=91 -h=636
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=12 -h=768 -stride=800
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=100 -h=766 -stride=812
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=31 -h=1024
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=64 -h=1000 -stride=1004
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=8 -h=1501
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=3 -h=1826
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=5 -h=2040
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=7 -h=2734
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=1 -h=3182
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=9 -h=4096
$EXE -prec_i=$pr_i -prec_o=$pr_o -t=3 -h=8192
$EXE -prec_i=$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
example/ck_tile/15_fused_moe/README.md
View file @ a7ae4f8e
......@@ -8,6 +8,9 @@ The benifit of this fused-moe:
* much less kernel instance, easy to maintain
# Implementation and feature support
## NOTES:
currently gate+up in fp16 case will very easily cause accumulator overflow the fp16 max(65504), hence result in INF. Please use BF16 for gate+up case, API side will have no check for this.
## moe-sorting
this is a common pre-process step before the actual moe-gemm. The purpose is to transform the moe loop over from token-by-token to expert-by-expert, make sure very workgroup is working for a single expert (B matrix). Besides, we extend this op to do the zeroing of the output buffer(to be used for reduce buffer with atomic)
......
example/ck_tile/15_fused_moe/fused_moe.hpp
View file @ a7ae4f8e
......@@ -26,7 +26,7 @@ struct fused_moe_args
ck_tile::index_t block_m; // block_m, used to devide the input
ck_tile::index_t hidden_size; // k
ck_tile::index_t intermediate_size; // n / TP, for Gate. if Gate+Up, Down need divide by 2
ck_tile::index_t intermediate_size; // n / TP, for Gate. and Up, Down is also this value
ck_tile::index_t num_tokens; // input number of tokens for current iteration
ck_tile::index_t num_experts; // number of groups
ck_tile::index_t topk; // need this?
......@@ -45,7 +45,8 @@ struct fused_moe_traits
std::string prec_sq; // smooth quant scale
std::string prec_kw; // topk-weight data type
int block_m;
int gate_only;
int activation; // 0:gelu, 1:silu
int gate_only; // 0:g1u0, 1:g1u1
int fused_quant; // 0:no-sweep, 1:smooth-dynamic-quant, 2:dynamic-quant
};
......
example/ck_tile/15_fused_moe/fused_moegemm.hpp
View file @ a7ae4f8e
......@@ -77,7 +77,8 @@ struct fused_moegemm_traits
std::string prec_sq; // smooth quant scale
std::string prec_kw; // topk-weight data type
int block_m;
int gate_only;
int activation; // 0:gelu, 1:silu
int gate_only; // 0:g1u0, 1:g1u1
int fused_quant; // 0:no-sweep, 1:smooth-dynamic-quant, 2:dynamic-quant
};
......
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