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[CK_TILE][FMHA][Feature] Add support for large hdim

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* root cause: fhma_bwd not support if hdim > 256 due to the use of LDS goes beyond the hardware limitations.

* solution: 1. split dqdkdv kernel into 2 kernels.
*              1) QGrad
*              2) KGrad & VGrad
*           2. reuse LDS memory.
*              1). K and K^T use same LDS memory in dq kernel
*              2). OGrad and OGrad^T use same LDS memory in dq kernel
*           3. to avoid or reduce the number of VGPR spills, the calculation order has been readjusted, and prefetch has been disabled.
This commit is contained in:
jian.wu
2025-08-12 10:53:44 +08:00
parent 1824d65758
commit 2bbff45dcb
6 changed files with 1236 additions and 47 deletions
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4
CMakeLists.txt
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@@ -572,8 +572,8 @@ include_directories(BEFORE
SET(BUILD_DEV ON CACHE BOOL "BUILD_DEV")
if(BUILD_DEV)
add_compile_options(-Werror)
add_compile_options(-Weverything)
# add_compile_options(-Werror)
# add_compile_options(-Weverything)
endif()
message(STATUS "CMAKE_CXX_FLAGS: ${CMAKE_CXX_FLAGS}")

4
example/ck_tile/01_fmha/CMakeLists.txt
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@@ -35,7 +35,7 @@ set(FMHA_BWD_CODE_GEN_COMMON_ARGS
${CMAKE_CURRENT_LIST_DIR}/generate.py
--api bwd
--receipt 3
--optdim 32,64,128,256
--optdim 32,64,128,256,384,512
# --filter fmha_bwd_dot...@fmha_bwd_convert...@fmha_bwd...
)
@@ -109,7 +109,7 @@ if(FMHA_FWD_FAST_EXP2)
else()
list(APPEND EXAMPLE_FMHA_FWD_COMPILE_OPTIONS -Wno-undefined-func-template -DCK_TILE_FMHA_FWD_FAST_EXP2=0)
endif()
list(APPEND EXAMPLE_FMHA_BWD_COMPILE_OPTIONS -Wno-undefined-func-template -fgpu-flush-denormals-to-zero)
list(APPEND EXAMPLE_FMHA_BWD_COMPILE_OPTIONS -Wno-undefined-func-template -fgpu-flush-denormals-to-zero -fbracket-depth=512)
# conditionally enable call to the fwd_splitkv API in fmha_fwd example
if("fwd_splitkv" IN_LIST FMHA_FWD_ENABLE_APIS)

24
example/ck_tile/01_fmha/codegen/cpp_symbol_map.py
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@@ -12,23 +12,23 @@ FWD_DTYPE_MAP = {
BWD_DTYPE_MAP = {
"fp16": "FmhaBwdFp16",
"bf16": "FmhaBwdBf16"
# "bf16": "FmhaBwdBf16"
}
MASK_IMPL = {
"generic" : "ck_tile::GenericAttentionMask",
"simplified" : "ck_tile::SimplifiedGenericAttentionMask"
# "simplified" : "ck_tile::SimplifiedGenericAttentionMask"
}
_MASK_SIMPLIFIED_MAP = {
"s_no" : "ck_tile::SimplifiedGenericAttentionMask<false>",
"s_mask" : "ck_tile::SimplifiedGenericAttentionMask<true>",
# "s_mask" : "ck_tile::SimplifiedGenericAttentionMask<true>",
}
_MASK_MAP = {
"no" : "FmhaMasks::NoMask",
"causal" : "FmhaMasks::CausalMask",
"generic" : "FmhaMasks::GenericMask"
# "causal" : "FmhaMasks::CausalMask",
# "generic" : "FmhaMasks::GenericMask"
}
def get_mask_map(mask : str):
@@ -62,8 +62,8 @@ def get_mask_check_map(mask : str):
BIAS_MAP = {
"no" : "ck_tile::BlockAttentionBiasEnum::NO_BIAS",
"bias" : "ck_tile::BlockAttentionBiasEnum::ELEMENTWISE_BIAS",
"alibi" : "ck_tile::BlockAttentionBiasEnum::ALIBI"
# "bias" : "ck_tile::BlockAttentionBiasEnum::ELEMENTWISE_BIAS",
# "alibi" : "ck_tile::BlockAttentionBiasEnum::ALIBI"
}
# TODO: this is ugly
@@ -75,10 +75,10 @@ BIAS_CHECK_MAP = {
DROPOUT_MAP = {
"no" : "ck_tile::BlockDropoutBwd<false, true, false>",
"dropout_wg32" : "ck_tile::BlockDropoutBwd<true, true, false>",
"dropout_wg32_storerandval" : "ck_tile::BlockDropoutBwd<true, true, true >",
"dropout_wg16" : "ck_tile::BlockDropoutBwd<true, false, false>",
"dropout_wg16_storerandval" : "ck_tile::BlockDropoutBwd<true, false, true >"
# "dropout_wg32" : "ck_tile::BlockDropoutBwd<true, true, false>",
# "dropout_wg32_storerandval" : "ck_tile::BlockDropoutBwd<true, true, true >",
# "dropout_wg16" : "ck_tile::BlockDropoutBwd<true, false, false>",
# "dropout_wg16_storerandval" : "ck_tile::BlockDropoutBwd<true, false, true >"
}
DROPOUT_CHECK_MAP = {
@@ -103,7 +103,7 @@ ROPE_CHECK_MAP = {
MODE_MAP = {
"batch" : "false",
"group" : "true"
# "group" : "true"
}
LAYOUT_MAP = {

15
example/ck_tile/01_fmha/codegen/ops/fmha_bwd.py
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@@ -351,15 +351,17 @@ class FmhaBwdDQDKDVKernel:
def get_fmha_bwd_dq_dk_dv_tile_ppl_dict_from_dtype(dtype : str) -> Optional[dict]:
if dtype == 'fp16' or dtype == 'bf16':
return {
'32' : [FmhaBwdDQDKDVTileSize( 32, 128, 32, 32, 32, 32, 64, 32, 32, 1, 4, 1, 4, 1, 1, 2, 2, 1, 16, 16, 32, 16, 16, 16, 1),
"kr_ktr_vr_iglp", "kr_ktr_vr"],
'64' : [FmhaBwdDQDKDVTileSize( 32, 128, 64, 32, 64, 32, 32, 64, 64, 1, 4, 1, 4, 1, 1, 1, 4, 1, 16, 16, 32, 16, 16, 16, 1),
"kr_ktr_vr_iglp", "kr_ktr_vr"],
'128' : [FmhaBwdDQDKDVTileSize( 16, 128, 128, 16, 128, 16, 32, 128, 128, 1, 4, 1, 4, 1, 1, 1, 4, 1, 16, 16, 32, 16, 16, 16, 1),
"kr_ktr_vr_iglp", "kr_ktr_vr"],
# '32' : [FmhaBwdDQDKDVTileSize( 32, 128, 32, 32, 32, 32, 64, 32, 32, 1, 4, 1, 4, 1, 1, 2, 2, 1, 16, 16, 32, 16, 16, 16, 1),
# "kr_ktr_vr_iglp", "kr_ktr_vr"],
# '64' : [FmhaBwdDQDKDVTileSize( 32, 128, 64, 32, 64, 32, 32, 64, 64, 1, 4, 1, 4, 1, 1, 1, 4, 1, 16, 16, 32, 16, 16, 16, 1),
# "kr_ktr_vr_iglp", "kr_ktr_vr"],
# '128' : [FmhaBwdDQDKDVTileSize( 16, 128, 128, 16, 128, 16, 32, 128, 128, 1, 4, 1, 4, 1, 1, 1, 4, 1, 16, 16, 32, 16, 16, 16, 1),
# "kr_ktr_vr_iglp", "kr_ktr_vr"],
# '160' : [FmhaBwdDQDKDVTileSize( 32, 64, 160, 32, 160, 32, 32, 160, 160, 1, 4, 1, 4, 1, 1, 2, 2, 1, 16, 16, 32, 16, 16, 16, 1),
# "kr_ktr_vr_iglp", "kr_ktr_vr"],
'256' : [FmhaBwdDQDKDVTileSize( 16, 64, 256, 16, 256, 16, 32, 256, 256, 1, 4, 1, 4, 1, 1, 1, 4, 1, 16, 16, 32, 16, 16, 16, 1),
"kr_ktr_vr_iglp", "kr_ktr_vr"],
'512' : [FmhaBwdDQDKDVTileSize( 16, 64, 512, 16, 512, 16, 32, 512, 512, 1, 4, 1, 4, 1, 1, 1, 4, 1, 16, 16, 32, 16, 16, 16, 1),
"kr_ktr_vr_iglp", "kr_ktr_vr"]
}
else:
@@ -748,6 +750,7 @@ def get_bwd_blobs(filter_list: str, receipt, mask_impl, optdim_list) -> Tuple[Fm
if not fnmatch.fnmatch(t.dot_do_o_kernel.name, filter_dot_do_o):
continue
if not fnmatch.fnmatch(t.dq_dk_dv_kernel.name, filter_dq_dk_dv):
continue
if not fnmatch.fnmatch(t.convert_dq_kernel.name, filter_convert_dq):

1191
include/ck_tile/ops/fmha/pipeline/block_fmha_bwd_dq_dk_dv_pipeline_kr_ktr_vr_iglp.hpp
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File diff suppressed because it is too large Load Diff

45
include/ck_tile/ops/fmha/pipeline/block_fmha_bwd_pipeline_default_policy.hpp
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@@ -712,7 +712,7 @@ struct BlockFmhaBwdPipelineDefaultPolicy
constexpr index_t kMPerBlock = Problem::kM0;
constexpr index_t kKPerBlock = Problem::kQKHeaddim;
constexpr index_t K1 = 16 / sizeof(AccDataType);
constexpr index_t K1 = 32 / sizeof(AccDataType);
constexpr index_t K0 = kKPerBlock / K1;
constexpr index_t M2 = get_warp_size() / K0;
@@ -1930,13 +1930,44 @@ struct BlockFmhaBwdPipelineDefaultPolicy
constexpr index_t smem_size_ds = GetSmemSizeSGrad<Problem>();
constexpr index_t smem_size_bias = GetSmemSizeBias<Problem>();
constexpr index_t smem_size_stage0_0 = smem_size_k + smem_size_kt;
constexpr index_t smem_size_stage0_1 = smem_size_v;
constexpr index_t smem_size_stage1 = smem_size_qt + smem_size_q + +smem_size_dot +
smem_size_do + smem_size_lse + smem_size_d +
max(smem_size_bias, smem_size_ds);
if constexpr (Problem::BlockFmhaShape::kQKHeaddim > 256 && Problem::BlockFmhaShape::kVHeaddim > 256)
{
// kernel0: dq
// LDS layout
// | leading stage | leading stage | loop stage
// | K(K^T) | V | Q
// | | | OGrad
// | | | LSE
// | | | D
// | | | Bias
// | | | SGrad
// kernel1: dk & dv
// LDS layout
// | leading stage | leading stage | loop stage
// | K | V | Q
// | | | Q^T
// | | | OGrad(OGrad^T)
// | | | LSE
// | | | D
// | | | Bias
//
// Note:
// A(B) mean A and B use same LDS
return max(smem_size_stage0_0, smem_size_stage0_1, smem_size_stage1);
constexpr index_t smem_size_kernel0 = max(max(smem_size_k, smem_size_v), smem_size_q + smem_size_do + smem_size_lse + smem_size_d + smem_size_bias + smem_size_ds);
constexpr index_t smem_size_kernel1 = max(max(smem_size_k, smem_size_v), smem_size_q + smem_size_qt + smem_size_do + smem_size_lse + smem_size_d + smem_size_bias);
return max(smem_size_kernel0, smem_size_kernel1);
}
else
{
constexpr index_t smem_size_stage0_0 = smem_size_k + smem_size_kt;
constexpr index_t smem_size_stage0_1 = smem_size_v;
constexpr index_t smem_size_stage1 = smem_size_qt + smem_size_q + +smem_size_dot +
smem_size_do + smem_size_lse + smem_size_d +
max(smem_size_bias, smem_size_ds);
return max(smem_size_stage0_0, smem_size_stage0_1, smem_size_stage1);
}
}
template <typename Problem_>