Revert "Optimize fmha fwd decode & prefill for gfx950 (#2641)" (#2670)

This reverts commit b7322a521a.
This commit is contained in:
asleepzzz
2025-08-12 20:27:10 +08:00
committed by GitHub
parent b7322a521a
commit 5b39de4bb6
31 changed files with 639 additions and 3545 deletions

View File

@@ -42,8 +42,6 @@ struct BlockGemmARegBRegCRegV1
static constexpr index_t NIterPerWarp = NPerBlock / (NWarp * WarpGemm::kN);
static constexpr index_t KIterPerWarp = KPerBlock / WarpGemm::kK;
static constexpr auto BlockGemmLoopOrder = Problem::BlockGemmLoopOrder;
static constexpr index_t KPack = WarpGemm::kKPerThread;
};
@@ -54,9 +52,8 @@ struct BlockGemmARegBRegCRegV1
using Traits = GemmTraits_<Problem, Policy>;
using WarpGemm = typename Traits::WarpGemm;
using BlockGemmShape = typename Traits::BlockGemmShape;
static constexpr auto BlockGemmLoopOrder = Traits::BlockGemmLoopOrder;
using WarpGemm = typename Traits::WarpGemm;
using BlockGemmShape = typename Traits::BlockGemmShape;
using ADataType = remove_cvref_t<typename Traits::ADataType>;
using BDataType = remove_cvref_t<typename Traits::BDataType>;
@@ -89,36 +86,17 @@ struct BlockGemmARegBRegCRegV1
}
else
{
if constexpr(BlockGemmLoopOrder == GemmLoopOrder::KMN)
{
constexpr auto a_block_outer_dstr_encoding = tile_distribution_encoding<
sequence<NWarp>,
tuple<sequence<MIterPerWarp, MWarp>, sequence<KIterPerWarp>>,
tuple<sequence<1, 0>>,
tuple<sequence<1, 0>>,
sequence<2, 1>,
sequence<0, 0>>{};
constexpr auto a_block_outer_dstr_encoding = tile_distribution_encoding<
sequence<NWarp>,
tuple<sequence<MIterPerWarp, MWarp>, sequence<KIterPerWarp>>,
tuple<sequence<1, 0>>,
tuple<sequence<1, 0>>,
sequence<1, 2>,
sequence<0, 0>>{};
constexpr auto a_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
a_block_outer_dstr_encoding, typename WarpGemm::AWarpDstrEncoding{});
constexpr auto a_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
a_block_outer_dstr_encoding, typename WarpGemm::AWarpDstrEncoding{});
return a_block_dstr_encode;
}
else if constexpr(BlockGemmLoopOrder == GemmLoopOrder::MNK)
{
constexpr auto a_block_outer_dstr_encoding = tile_distribution_encoding<
sequence<NWarp>,
tuple<sequence<MIterPerWarp, MWarp>, sequence<KIterPerWarp>>,
tuple<sequence<1, 0>>,
tuple<sequence<1, 0>>,
sequence<1, 2>,
sequence<0, 0>>{};
constexpr auto a_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
a_block_outer_dstr_encoding, typename WarpGemm::AWarpDstrEncoding{});
return a_block_dstr_encode;
}
return a_block_dstr_encode;
}
}
@@ -140,33 +118,17 @@ struct BlockGemmARegBRegCRegV1
}
else
{
if constexpr(BlockGemmLoopOrder == GemmLoopOrder::KMN)
{
constexpr auto b_block_outer_dstr_encoding = tile_distribution_encoding<
sequence<MWarp>,
tuple<sequence<NIterPerWarp, NWarp>, sequence<KIterPerWarp>>,
tuple<sequence<0, 1>>,
tuple<sequence<0, 1>>,
sequence<2, 1>,
sequence<0, 0>>{};
constexpr auto b_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
b_block_outer_dstr_encoding, typename WarpGemm::BWarpDstrEncoding{});
constexpr auto b_block_outer_dstr_encoding = tile_distribution_encoding<
sequence<MWarp>,
tuple<sequence<NIterPerWarp, NWarp>, sequence<KIterPerWarp>>,
tuple<sequence<0, 1>>,
tuple<sequence<0, 1>>,
sequence<1, 2>,
sequence<0, 0>>{};
constexpr auto b_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
b_block_outer_dstr_encoding, typename WarpGemm::BWarpDstrEncoding{});
return b_block_dstr_encode;
}
else if constexpr(BlockGemmLoopOrder == GemmLoopOrder::MNK)
{
constexpr auto b_block_outer_dstr_encoding = tile_distribution_encoding<
sequence<MWarp>,
tuple<sequence<NIterPerWarp, NWarp>, sequence<KIterPerWarp>>,
tuple<sequence<0, 1>>,
tuple<sequence<0, 1>>,
sequence<1, 2>,
sequence<0, 0>>{};
constexpr auto b_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
b_block_outer_dstr_encoding, typename WarpGemm::BWarpDstrEncoding{});
return b_block_dstr_encode;
}
return b_block_dstr_encode;
}
}
@@ -251,82 +213,40 @@ struct BlockGemmARegBRegCRegV1
constexpr auto c_warp_y_index_zeros = uniform_sequence_gen_t<CWarpDstr::NDimY, 0>{};
// hot loop:
if constexpr(BlockGemmLoopOrder == GemmLoopOrder::KMN)
{
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
// read A warp tensor from A Block window
AWarpTensor a_warp_tensor;
a_warp_tensor.get_thread_buffer() = a_block_tensor.get_y_sliced_thread_data(
merge_sequences(sequence<kIter, mIter>{}, a_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, a_warp_y_lengths));
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
// read B warp tensor from B block tensor
BWarpTensor b_warp_tensor;
b_warp_tensor.get_thread_buffer() = b_block_tensor.get_y_sliced_thread_data(
merge_sequences(sequence<kIter, nIter>{}, b_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, b_warp_y_lengths));
// read C warp tensor from C block tensor
using c_iter_idx = std::conditional_t<TransposeC,
sequence<nIter, mIter>,
sequence<mIter, nIter>>;
CWarpTensor c_warp_tensor;
c_warp_tensor.get_thread_buffer() = c_block_tensor.get_y_sliced_thread_data(
merge_sequences(c_iter_idx{}, c_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
// warp GEMM
WarpGemm{}(c_warp_tensor, a_warp_tensor, b_warp_tensor);
// write C warp tensor into C block tensor
c_block_tensor.set_y_sliced_thread_data(
merge_sequences(c_iter_idx{}, c_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
c_warp_tensor.get_thread_buffer());
});
});
});
}
else if constexpr(BlockGemmLoopOrder == GemmLoopOrder::MNK)
{
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
// read A warp tensor from A Block window
AWarpTensor a_warp_tensor;
a_warp_tensor.get_thread_buffer() = a_block_tensor.get_y_sliced_thread_data(
merge_sequences(sequence<mIter, kIter>{}, a_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, a_warp_y_lengths));
static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
// read A warp tensor from A Block window
AWarpTensor a_warp_tensor;
// read B warp tensor from B block tensor
BWarpTensor b_warp_tensor;
b_warp_tensor.get_thread_buffer() = b_block_tensor.get_y_sliced_thread_data(
merge_sequences(sequence<nIter, kIter>{}, b_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, b_warp_y_lengths));
a_warp_tensor.get_thread_buffer() = a_block_tensor.get_y_sliced_thread_data(
merge_sequences(sequence<mIter, kIter>{}, a_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, a_warp_y_lengths));
// read C warp tensor from C block tensor
using c_iter_idx = std::
conditional_t<TransposeC, sequence<nIter, mIter>, sequence<mIter, nIter>>;
CWarpTensor c_warp_tensor;
c_warp_tensor.get_thread_buffer() = c_block_tensor.get_y_sliced_thread_data(
merge_sequences(c_iter_idx{}, c_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
// read B warp tensor from B block tensor
BWarpTensor b_warp_tensor;
// warp GEMM
WarpGemm{}(c_warp_tensor, a_warp_tensor, b_warp_tensor);
b_warp_tensor.get_thread_buffer() = b_block_tensor.get_y_sliced_thread_data(
merge_sequences(sequence<nIter, kIter>{}, b_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, b_warp_y_lengths));
// read C warp tensor from C block tensor
CWarpTensor c_warp_tensor;
c_warp_tensor.get_thread_buffer() = c_block_tensor.get_y_sliced_thread_data(
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
// warp GEMM
WarpGemm{}(c_warp_tensor, a_warp_tensor, b_warp_tensor);
// write C warp tensor into C block tensor
c_block_tensor.set_y_sliced_thread_data(
merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
c_warp_tensor.get_thread_buffer());
});
// write C warp tensor into C block tensor
c_block_tensor.set_y_sliced_thread_data(
merge_sequences(c_iter_idx{}, c_warp_y_index_zeros),
merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
c_warp_tensor.get_thread_buffer());
});
});
}
});
}
CK_TILE_DEVICE static constexpr auto MakeCBlockTile()

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@@ -4,7 +4,6 @@
#pragma once
#include "ck_tile/core.hpp"
#include "ck_tile/ops/gemm/pipeline/gemm_pipeline_ag_bg_cr_scheduler.hpp"
namespace ck_tile {
@@ -14,8 +13,7 @@ template <typename ADataType_,
typename CDataType_,
index_t kBlockSize_,
typename BlockGemmShape_,
GemmLoopOrder BlockGemmLoopOrder_ = GemmLoopOrder::KMN,
index_t NumWaveGroups_ = 1>
index_t NumWaveGroups_ = 1>
struct BlockGemmProblem
{
using ADataType = remove_cvref_t<ADataType_>;
@@ -23,9 +21,8 @@ struct BlockGemmProblem
using CDataType = remove_cvref_t<CDataType_>;
using BlockGemmShape = remove_cvref_t<BlockGemmShape_>;
static constexpr index_t kBlockSize = kBlockSize_;
static constexpr index_t NumWaveGroups = NumWaveGroups_;
static constexpr GemmLoopOrder BlockGemmLoopOrder = BlockGemmLoopOrder_;
static constexpr index_t kBlockSize = kBlockSize_;
static constexpr index_t NumWaveGroups = NumWaveGroups_;
};
} // namespace ck_tile