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CUDA: generalized (mma) FA, add Volta support (#17505)

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* CUDA: generalized (mma) FA, add Volta support

* use struct for MMA FA kernel config

---------

Co-authored-by: Aman Gupta <aman>
This commit is contained in:
Johannes Gäßler
2025-12-03 16:57:05 +01:00
committed by GitHub
co-authored by Aman Gupta <aman>
parent 190c4838bd
commit 2e1c9cd814
10 changed files with 966 additions and 759 deletions
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ggml/src/ggml-cuda/mmf.cuh
+29 -30
View File
@@ -37,23 +37,19 @@ static __global__ void mul_mat_f(
typedef tile<16, 8, T> tile_A;
typedef tile<tile_B_I, 8, T> tile_B;
typedef tile<16, tile_C_J, float> tile_C;
constexpr bool a_supported = tile_A::supported();
constexpr bool b_supported = tile_B::supported();
constexpr bool c_supported = tile_C::supported();
constexpr bool supported = a_supported && b_supported && c_supported;
#else
constexpr bool I_16_supported = tile<16, 8, T>::supported() && tile<16, 8, float>::supported();
constexpr bool I_32_supported = tile<32, 8, T>::supported() && tile<32, 8, float>::supported();
constexpr bool supported = I_16_supported || I_32_supported;
constexpr int I_preferred = I_16_supported ? 16 : 32; // For Turing MMA both work but 16 is ~1% faster.
typedef tile<I_preferred, 8, T> tile_A;
typedef tile<8, 8, T> tile_B;
typedef tile<I_preferred, 8, float> tile_C;
#ifdef VOLTA_MMA_AVAILABLE
if constexpr (!std::is_same_v<T, half2>) {NO_DEVICE_CODE;} else {
typedef tile<32, 4, T, DATA_LAYOUT_I_MAJOR> tile_A;
typedef tile< 8, 4, T, DATA_LAYOUT_I_MAJOR_MIRRORED> tile_B;
typedef tile<32, 8, float, DATA_LAYOUT_I_MAJOR> tile_C;
#else
typedef tile<16, 8, T> tile_A;
typedef tile<8, 8, T> tile_B;
typedef tile<16, 8, float> tile_C;
#endif // VOLTA_MMA_AVAILABLE
#endif // defined(AMD_WMMA_AVAILABLE)
if constexpr (!supported) {
if constexpr (!tile_A::supported() || !tile_B::supported() || !tile_C::supported()) {
NO_DEVICE_CODE;
return;
}
@@ -248,6 +244,9 @@ static __global__ void mul_mat_f(
}
}
}
#ifdef VOLTA_MMA_AVAILABLE
}
#endif //VOLTA_MMA_AVAILABLE
#else
GGML_UNUSED_VARS(x, y, ids, dst,
ncols, ncols_dst_total, nchannels_dst, stride_row, stride_col_y, stride_col_dst,
@@ -278,27 +277,24 @@ static __global__ void mul_mat_f_ids(
typedef tile<16, 8, T> tile_A;
typedef tile<tile_B_I, 8, T> tile_B;
typedef tile<16, tile_C_J, float> tile_C;
constexpr bool a_supported = tile_A::supported();
constexpr bool b_supported = tile_B::supported();
constexpr bool c_supported = tile_C::supported();
constexpr bool supported = a_supported && b_supported && c_supported;
#else
constexpr bool I_16_supported = tile<16, 8, T>::supported() && tile<16, 8, float>::supported();
constexpr bool I_32_supported = tile<32, 8, T>::supported() && tile<32, 8, float>::supported();
constexpr bool supported = I_16_supported || I_32_supported;
constexpr int I_preferred = I_16_supported ? 16 : 32; // For Turing MMA both work but 16 is ~1% faster.
typedef tile<I_preferred, 8, T> tile_A;
typedef tile<8, 8, T> tile_B;
typedef tile<I_preferred, 8, float> tile_C;
#ifdef VOLTA_MMA_AVAILABLE
if constexpr (!std::is_same_v<T, half2>) {NO_DEVICE_CODE;} else {
typedef tile<32, 4, T, DATA_LAYOUT_I_MAJOR> tile_A;
typedef tile< 8, 4, T, DATA_LAYOUT_I_MAJOR_MIRRORED> tile_B;
typedef tile<32, 8, float, DATA_LAYOUT_I_MAJOR> tile_C;
#else
typedef tile<16, 8, T> tile_A;
typedef tile<8, 8, T> tile_B;
typedef tile<16, 8, float> tile_C;
#endif // VOLTA_MMA_AVAILABLE
#endif // defined(AMD_WMMA_AVAILABLE)
if constexpr (!supported) {
if constexpr (!tile_A::supported() || !tile_B::supported() || !tile_C::supported()) {
NO_DEVICE_CODE;
return;
}
constexpr int warp_size = ggml_cuda_get_physical_warp_size();
constexpr int tile_k_padded = warp_size + 4;
constexpr int ntA = rows_per_block / tile_A::I;
@@ -517,6 +513,9 @@ static __global__ void mul_mat_f_ids(
}
}
}
#ifdef VOLTA_MMA_AVAILABLE
}
#endif // VOLTA_MMA_AVAILABLE
#else
GGML_UNUSED_VARS(x, y, ids_src_compact, ids_dst_compact, expert_bounds, dst,
ncols, ncols_dst_total, nchannels_dst, stride_row, stride_col_y, stride_col_dst,