Skip to content

GitLab

Commit 840a617d authored by Wenkai's avatar Wenkai
Browse files

use static kernel

parent 04da3554
Expand all Hide whitespace changes
Inline Side-by-side
Showing with 1019 additions and 101 deletions
example/01_gemm/gemm_xdl_fp16_splitk.cpp
View file @ 840a617d
......@@ -12,6 +12,7 @@
#include "device_tensor.hpp"
#include "device_gemm_xdl.hpp"
#include "device_gemm_xdl_splitk_c_shuffle.hpp"
#include "device_gemm_xdl_splitk_c_shuffle_static.hpp"
#include "device_gemm_xdl_cshuffle.hpp"
#include "element_wise_operation.hpp"
#include "reference_gemm.hpp"
......@@ -44,6 +45,19 @@ using CElementOp = ck::tensor_operation::element_wise::PassThrough;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
#if USEING_STATIC_KERNEL
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffleStatic
//######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
//######| | | | Type| Type| Type| Type| DataType| Elementwise| Elementwise| Elementwise| Spacialization| Prefetch| Size| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MWaveMPerXdl| ScalarPerVector|
//######| | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerXdl| _NWaveNPerXdl|
//######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
//<Row, Row, Row, F16, F16, F16, F32, F16, AElementOp, BElementOp, CElementOp, GemmDefault, 3, 256, 16, 128, 32, 8, 2, 16, 16, 1, 2, S<1, 4, 16, 4>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 2, 2, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 8, 1, 2, S<1, 4, 1, 64>, 2>;
<Row, Row, Row, F16, F16, F16, F32, F16, AElementOp, BElementOp, CElementOp, GemmDefault, 2, 256, 16, 128, 32, 8, 2, 16, 16, 1, 2, S<1, 4, 16, 4>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 2, 2, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 8, 1, 2, S<1, 4, 1, 64>, 2>;
//<Row, Col, Row, F16, F16, F16, F32, F16, AElementOp, BElementOp, CElementOp, GemmDefault, 1, 256, 16, 128, 128, 8, 8, 16, 16, 1, 2, S<1, 16, 16, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, S<1, 16, 16, 1>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 8, 8, 1, 1, 2, S<1, 4, 1, 64>, 2>;
//<Row, Row, Row, F16, F16, F16, F32, F16, AElementOp, BElementOp, CElementOp, GemmDefault, 4, 256, 16, 128, 32, 8, 2, 16, 16, 1, 2, S<1, 4, 16, 4>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 2, 2, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 8, 1, 2, S<1, 4, 1, 64>, 2>;
#else
// clang-format off
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShuffle
//######| ALayout| BLayout| CLayout| AData| BData| CData| AccData| CShuffle| A| B| C| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
......@@ -52,9 +66,11 @@ using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdlSplitKCShu
//######| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
<Row, Row, Row, F16, F16, F16, F32, F16, AElementOp, BElementOp, CElementOp, GemmDefault, 3, 256, 16, 128, 32, 8, 2, 16, 16, 1, 2, S<1, 4, 16, 4>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 2, 2, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 8, 1, 1, S<1, 16, 1, 16>, 2>;
//<Row, Row, Row, F16, F16, F16, F32, F16, AElementOp, BElementOp, CElementOp, GemmDefault, 4, 256, 16, 128, 32, 8, 2, 16, 16, 1, 2, S<1, 4, 16, 4>, S<0, 2, 1, 3>, S<0, 2, 1, 3>, 3, 2, 2, 1, S<1, 8, 32, 1>, S<0, 1, 3, 2>, S<0, 1, 3, 2>, 2, 4, 2, 8, 1, 1, S<1, 16, 1, 16>, 2>;
// clang-format on
#endif
using ReferenceGemmInstance = ck::tensor_operation::host::
ReferenceGemm<ADataType, BDataType, CDataType, AccDataType, AElementOp, BElementOp, CElementOp>;
......
include/ck/tensor_operation/gpu/grid/block_to_ctile_map.hpp
View file @ 840a617d
......@@ -239,6 +239,79 @@ struct BlockToCTileMap_KSplit_M00_N0_M01Adapt
CGridDesc_M_N c_grid_desc_m_n_;
};
// 2D slices of column-vectors in 3D space
// This C-tile map dynamically adjusts M01 when C-tile index is out of range
template <index_t MPerBlock, index_t NPerBlock, typename CGridDesc_M_N>
struct BlockToCTileMap_KSplit_M00_N0_M01Adapt_Static
{
static constexpr auto I0 = Number<0>{};
static constexpr auto I1 = Number<1>{};
static constexpr auto I2 = Number<2>{};
static constexpr auto I3 = Number<3>{};
__host__ __device__ BlockToCTileMap_KSplit_M00_N0_M01Adapt_Static() = default;
__host__ __device__ BlockToCTileMap_KSplit_M00_N0_M01Adapt_Static(const CGridDesc_M_N& c_grid_desc_m_n)
: c_grid_desc_m_n_(c_grid_desc_m_n)
{
}
__host__ constexpr index_t CalculateGridSize(const CGridDesc_M_N& c_grid_desc_m_n) const
{
const auto M0 = math::integer_divide_ceil(c_grid_desc_m_n.GetLength(I0), MPerBlock);
const auto N0 = math::integer_divide_ceil(c_grid_desc_m_n.GetLength(I1), NPerBlock);
const index_t grid_size = M0 * N0 * KSplit_;
return grid_size;
}
template <typename TopIdx>
__host__ __device__ constexpr auto CalculateBottomIndex(const TopIdx& idx_top) const
{
auto block_1d_id = idx_top[I0];
const auto M0 = math::integer_divide_ceil(c_grid_desc_m_n_.GetLength(I0), MPerBlock);
const auto N0 = math::integer_divide_ceil(c_grid_desc_m_n_.GetLength(I1), NPerBlock);
#if 1
const index_t idx_ksplit = block_1d_id / (M0 * N0);
block_1d_id = block_1d_id % (M0 * N0);
#else
const index_t idx_ksplit = block_1d_id % KSplit_;
block_1d_id = block_1d_id / KSplit_;
#endif
index_t idx_N0 = block_1d_id % N0;
index_t idx_M0 = block_1d_id / N0;
const auto M01_adapt = (idx_M0 < M0 - M0 % M01_) ? M01_ : M0 % M01_;
index_t idx_M00 = idx_M0 / M01_;
index_t idx_M01 = idx_M0 % M01_;
index_t idx_N0_M01_local = idx_N0 + idx_M01 * N0;
return make_tuple(idx_ksplit,
idx_N0_M01_local % M01_adapt + idx_M00 * M01_,
idx_N0_M01_local / M01_adapt);
}
template <typename CTileIdx, typename CTileDim>
__host__ __device__ bool ValidCTileIndex(const CTileIdx& /* c_tile_idx */,
const CTileDim& /* c_tile_dim */) const
{
return true; // always valid provided that user gets grid size from CalculateGridSize()
}
__host__ bool CheckValidity(const CGridDesc_M_N& /* c_grid_desc_m_n */) const { return true; }
private:
static constexpr auto M01_ = Number<8>{};
static constexpr auto KSplit_ = Number<K_batch>{};
CGridDesc_M_N c_grid_desc_m_n_;
};
// Blocks of row-vectors
template <index_t MPerBlock,
index_t NPerBlock,
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v2.hpp
View file @ 840a617d
......@@ -139,12 +139,12 @@ struct GridwiseGemmPipeline_v2<2>
__host__ __device__ static constexpr bool IsSupported(index_t num_loop)
{
// TODO: improve applicability
return num_loop > 2;
return num_loop >= 3;
}
__host__ __device__ static constexpr bool CalculateHasMainLoop(index_t num_loop)
{
return num_loop > 2;
return num_loop >= 5;
}
template <bool HasMainLoop,
......@@ -179,20 +179,31 @@ struct GridwiseGemmPipeline_v2<2>
index_t num_loop)
{
// global read 0
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, I0);
static_for<0, 2, 1>{}([&](auto i_pre){
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<i_pre>{});
s_nop();
// move to 1
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<i_pre>{});
s_nop();
// global read 1
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I1);
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, I1);
// move to i_pre + 1
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
});
// Initialize C
c_thread_buf.Clear();
// LDS write 0
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I0);
// global Read 2
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
// LDS write 0
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I0);
// global Read 2
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, I0);
index_t i = 0;
// main body
......@@ -200,87 +211,92 @@ struct GridwiseGemmPipeline_v2<2>
{
do
{
// move to i + 2
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
// LDS write i
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I0);
// global Read i + 2
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
// LDS write i
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I0);
// global Read i + 2
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, I0);
block_sync_lds();
// GEMM i
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
block_sync_lds();
static_for<0, 2, 1>{}([&](auto i_main){
block_sync_lds();
// move to i + 3
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
// GEMM i
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
// LDS write i + 1
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I1);
// global read i + 3
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I1);
block_sync_lds();
// LDS write i + 1
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I1);
// global read i + 3
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, I1);
// move to i + 3
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
block_sync_lds();
// LDS write i + 1
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<(i_main + 1) % 2>{});
// global read i + 3
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<(i_main + 1) % 2>{});
// GEMM i + 1
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
// LDS write i + 1
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<(i_main + 1) % 2>{});
// global read i + 3
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<(i_main + 1) % 2>{});
block_sync_lds();
});
i += 2;
} while(i < (num_loop - 2));
} while(i < (num_loop - 4));
}
// tail
if (i > num_loop - 2)
if (i == num_loop - 3)
{
block_sync_lds();
// GEMM num_loop - 2
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
block_sync_lds();
// LDS write num_loop - 1
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I0);
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I0);
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I1);
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I1);
block_sync_lds();
// GEMM num_loop - 1
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
}
// tail
else if (i == num_loop - 2)
{
// Write num_loop - 2
block_sync_lds();
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I0);
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I0);
block_sync_lds();
// GEMM num_loop - 2
// GEMM num_loop - 1
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
}
block_sync_lds();
// tail
else if (i == num_loop - 4)
{
static_for<0, 4, 1>{}([&](auto i_res){
block_sync_lds();
// LDS write num_loop - 1
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I1);
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I1);
// GEMM num_loop - 2
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
block_sync_lds();
if constexpr(i_res < 3)
{
block_sync_lds();
if constexpr(i_res < 1)
{
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
}
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<(i_res + 1) % 2>{});
if constexpr(i_res < 1)
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I1);
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<(i_res + 1) % 2>{});
if constexpr(i_res < 1)
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, I1);
}
});
// GEMM num_loop - 1
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
}
}
......@@ -300,12 +316,12 @@ struct GridwiseGemmPipeline_v2<3>
__host__ __device__ static constexpr bool IsSupported(index_t num_loop)
{
// TODO: improve applicability
return num_loop > 3;
return num_loop >= 4;
}
__host__ __device__ static constexpr bool CalculateHasMainLoop(index_t num_loop)
{
return num_loop > 3;
return num_loop >= 7;
}
template <bool HasMainLoop,
......@@ -342,8 +358,13 @@ struct GridwiseGemmPipeline_v2<3>
static_for<0, 3, 1>{}([&](auto i_pre){
// global read i_pre
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<i_pre>{});
s_nop();
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<i_pre>{});
s_nop();
// move to i_pre + 1
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
......@@ -352,6 +373,16 @@ struct GridwiseGemmPipeline_v2<3>
// Initialize C
c_thread_buf.Clear();
// LDS write i_main
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, I0);
// global Read i_main + 3
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, I0);
// LDS write i_main
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, I0);
// global Read i_main + 3
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, I0);
index_t i = 0;
// main body
......@@ -360,85 +391,118 @@ struct GridwiseGemmPipeline_v2<3>
do
{
static_for<0, 3, 1>{}([&](auto i_main){
block_sync_lds();
// LDS write i_main
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<i_main>{});
// global Read i_main + 3
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<i_main>{});
// GEMM i_main
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
// LDS write i_main
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<i_main>{});
// global Read i_main + 3
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<i_main>{});
block_sync_lds();
// move to i_main + 3
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
block_sync_lds();
// GEMM i_main
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
// LDS write i_main
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<(i_main + 1) % 3>{});
// global Read i_main + 3
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<(i_main + 1) % 3>{});
block_sync_lds();
// LDS write i_main
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<(i_main + 1) % 3>{});
// global Read i_main + 3
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<(i_main + 1) % 3>{});
});
i += 3;
} while(i < (num_loop - 3));
} while(i < (num_loop - 6));
}
// tail
if (i == num_loop - 3)
if (i == num_loop - 6)
{
static_for<0, I3, 1>{}([&](auto i_res){
// Write num_loop - 3
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<i_res>{});
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<i_res>{});
static_for<0, 6, 1>{}([&](auto i_res){
block_sync_lds();
// GEMM num_loop - 3
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
if constexpr(i_res < 5)
{
block_sync_lds();
if constexpr(i_res < 2)
{
// move to i_res + 3
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
}
// LDS write i_res
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<(i_res + 1) % 3>{});
if constexpr(i_res < 2)
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<(i_res + 1) % 3>{});
// LDS write i_res
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<(i_res + 1) % 3>{});
if constexpr(i_res < 2)
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<(i_res + 1) % 3>{});
}
});
}
// tail
else if (i == num_loop - 2)
else if (i == num_loop - 5)
{
static_for<0, I2, 1>{}([&](auto i_res){
// Write num_loop
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<i_res>{});
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<i_res>{});
static_for<0, 5, 1>{}([&](auto i_res){
block_sync_lds();
// GEMM num_loop
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
if constexpr(i_res < 4)
{
block_sync_lds();
if constexpr(i_res < 1)
{
// move to i_res + 3
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
}
// LDS write i_res
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<(i_res + 1) % 3>{});
if constexpr(i_res < 1)
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<(i_res + 1) % 3>{});
// LDS write i_res
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<(i_res + 1) % 3>{});
if constexpr(i_res < 1)
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<(i_res + 1) % 3>{});
}
});
}
// tail
else if (i == num_loop - 1)
else if (i == num_loop - 4)
{
static_for<0, I1, 1>{}([&](auto i_res){
// Write num_loop
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<i_res>{});
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<i_res>{});
static_for<0, 4, 1>{}([&](auto i_res){
block_sync_lds();
// GEMM num_loop
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
block_sync_lds();
if constexpr(i_res < 3)
{
block_sync_lds();
// LDS write i_res
a_blockwise_copy.RunWrite(a_block_desc, a_block_buf, Number<(i_res + 1) % 3>{});
// LDS write i_res
b_blockwise_copy.RunWrite(b_block_desc, b_block_buf, Number<(i_res + 1) % 3>{});
}
});
}
......@@ -501,8 +565,13 @@ struct GridwiseGemmPipeline_v2<4>
static_for<0, 4, 1>{}([&](auto i_pre){
// global read i_pre
a_blockwise_copy.RunRead(a_grid_desc, a_grid_buf, Number<i_pre>{});
s_nop();
b_blockwise_copy.RunRead(b_grid_desc, b_grid_buf, Number<i_pre>{});
s_nop();
// move to i_pre + 1
a_blockwise_copy.MoveSrcSliceWindow(a_grid_desc, a_block_copy_step);
b_blockwise_copy.MoveSrcSliceWindow(b_grid_desc, b_block_copy_step);
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4r2.hpp
View file @ 840a617d
......@@ -47,6 +47,11 @@ __global__ void
__shared__ FloatAB p_shared_block[shared_block_size];
//void* kargs_ptr = (&p_a_grid)+0x40;
//if(get_block_1d_id()==1&&get_thread_local_1d_id()==0)
// printf("kargs=0x%p, kargs+64=%d\n", (&p_a_grid), *static_cast<int*>(kargs_ptr));
GridwiseGemm::template Run<HasMainKBlockLoop>(p_a_grid,
p_b_grid,
p_c_grid,
......@@ -124,6 +129,9 @@ struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2
static constexpr auto I6 = Number<6>{};
static constexpr auto I7 = Number<7>{};
static constexpr auto IM = Number<M_matrix>{};
static constexpr auto IN = Number<N_matrix>{};
// K1 should be Number<...>
static constexpr auto AK0 = Number<KPerBlock / AK1Value>{};
static constexpr auto BK0 = Number<KPerBlock / BK1Value>{};
......@@ -257,6 +265,18 @@ struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2
make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}));
}
__host__ __device__ static constexpr auto
MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock_Static(const CMNGridDesc& )
{
const auto M = IM;
const auto N = IN;
const auto MBlock = Number<M / MPerBlock>{};
const auto NBlock = Number<N / NPerBlock>{};
return make_naive_tensor_descriptor_packed(make_tuple(MBlock, Number<MPerBlock>{}, NBlock, Number<NPerBlock>{}));
}
// return block_id to C matrix tile idx (m0, n0) mapping
__host__ __device__ static constexpr auto MakeCBlockClusterAdaptor(
const CMNGridDesc& c_m_n_grid_desc, index_t /* M01 */, index_t /* N01 */, index_t KBatch)
......@@ -265,6 +285,14 @@ struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2
c_m_n_grid_desc, 8, KBatch);
}
// return block_id to C matrix tile idx (m0, n0) mapping
__host__ __device__ static constexpr auto MakeCBlockClusterAdaptorStatic(
const CMNGridDesc& c_m_n_grid_desc)
{
return BlockToCTileMap_KSplit_M00_N0_M01Adapt_Static<MPerBlock, NPerBlock, CMNGridDesc>(
c_m_n_grid_desc);
}
__host__ __device__ static constexpr auto
GetCBlockDescriptor_MBlock_MPerBlock_NBlock_NPerBlock()
{
......@@ -278,9 +306,15 @@ struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2
Number<CShuffleNRepeatPerShuffle * NWave * NPerXDL>{}));
}
#if USEING_STATIC_KERNEL
using CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock =
decltype(MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock_Static(CMNGridDesc{}));
using CBlockClusterAdaptor = decltype(MakeCBlockClusterAdaptorStatic(CMNGridDesc{}));
#else
using CGridDesc_MBlock_MPerBlock_NBlock_NPerBlock =
decltype(MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock(CMNGridDesc{}));
using CBlockClusterAdaptor = decltype(MakeCBlockClusterAdaptor(CMNGridDesc{}, 1, 1, 1));
#endif
template <bool HasMainKBlockLoop>
__device__ static void Run(const FloatAB* __restrict__ p_a_grid,
......
include/ck/utility/common_header.hpp
View file @ 840a617d
......@@ -47,3 +47,32 @@
#ifdef CK_USE_AMD_MFMA
#include "amd_xdlops.hpp"
#endif
#define USEING_STATIC_KERNEL 1
#define MNKB_16_1152_5120_8 0
#define MNKB_16_5120_384_3 1
#define MNKB_16_1280_5120_8 1
#define MNKB_16_5120_1280_5 1
#if MNKB_16_1152_5120_8
#define M_matrix 16
#define N_matrix 1152
#define K_matrix 5120
#define K_batch 8
#elif MNKB_16_5120_384_3
#define M_matrix 16
#define N_matrix 5120
#define K_matrix 384
#define K_batch 4
#elif MNKB_16_1280_5120_8
#define M_matrix 16
#define N_matrix 1280
#define K_matrix 5120
#define K_batch 8
#elif MNKB_16_5120_1280_5
#define M_matrix 16
#define N_matrix 5120
#define K_matrix 1280
#define K_batch 5
#endif
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment