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Commit 96c73d70 authored by Chao Liu's avatar Chao Liu
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add missing type convert

parent 2d35fac0
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Showing with 109 additions and 104 deletions
example/01_gemm/gemm_xdl_bf16.cpp
View file @ 96c73d70
......@@ -11,8 +11,7 @@
#include "host_tensor.hpp"
#include "host_tensor_generator.hpp"
#include "device_tensor.hpp"
#include "device_gemm_xdl.hpp"
#include "device_gemm_xdl_c_shuffle.hpp"
#include "device_gemm_xdl_cshuffle.hpp"
#include "element_wise_operation.hpp"
#include "reference_gemm.hpp"
#include "gemm_specialization.hpp"
......@@ -37,47 +36,51 @@ using ALayout = ck::tensor_layout::gemm::RowMajor;
using BLayout = ck::tensor_layout::gemm::ColumnMajor;
using CLayout = ck::tensor_layout::gemm::RowMajor;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
// clang-format off
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdl_C_Shuffle<
ADataType, // ADataType
BDataType, // BDataType
CDataType, // CDataType
AccDataType, // AccDataType
CDataType, // CShuffleDataType
ALayout, // ALayout
BLayout, // BLayout
CLayout, // CLayout
PassThrough, // AElementwiseOperation
PassThrough, // BElementwiseOperation
PassThrough, // CElementwiseOperation
256, // BlockSize
256, // MPerBlock
128, // NPerBlock
32, // KPerBlock
8, // AK1
8, // BK1
32, // MPerXDL
32, // NPerXDL
4, // MXdlPerWave
2, // NXdlPerWave
S<4, 64, 1>, // ABlockTransferThreadClusterLengths_K0_M_K1
S<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
S<1, 0, 2>, // ABlockTransferSrcAccessOrder
2, // ABlockTransferSrcVectorDim
8, // ABlockTransferSrcScalarPerVector
8, // ABlockTransferDstScalarPerVector_K1
true, // ABlockLdsAddExtraM
S<4, 64, 1>, // BBlockTransferThreadClusterLengths_K0_N_K1
S<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
S<1, 0, 2>, // BBlockTransferSrcAccessOrder
2, // BBlockTransferSrcVectorDim
8, // BBlockTransferSrcScalarPerVector
8, // BBlockTransferDstScalarPerVector_K1
true, // BBlockLdsAddExtraN
1, // CShuffleMXdlPerWavePerShuffle
1, // CShuffleNXdlPerWavePerShuffle
S<1, 1, 32, 1, 1, 8>, // CBlockTransferClusterLengths_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl
8>; // CBlockTransferScalarPerVector_NWaveNPerXdl
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle
<ALayout, // typename ALayout,
BLayout, // typename BLayout,
CLayout, // typename CLayout,
ADataType, // typename ADataType,
BDataType, // typename BDataType,
CDataType, // typename CDataType,
AccDataType, // typename GemmAccDataType,
CDataType, // typename CShuffleDataType,
PassThrough, // typename AElementwiseOperation,
PassThrough, // typename BElementwiseOperation,
PassThrough, // typename CElementwiseOperation,
GemmDefault, // GemmSpecialization GemmSpec,
1, // index_t NumGemmKPrefetchStage,
256, // index_t BlockSize,
256, // index_t MPerBlock,
128, // index_t NPerBlock,
32, // index_t KPerBlock,
8, // index_t AK1,
8, // index_t BK1,
32, // index_t MPerXDL,
32, // index_t NPerXDL,
4, // index_t MXdlPerWave,
2, // index_t NXdlPerWave,
S<4, 64, 1>, // typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
S<1, 0, 2>, // typename ABlockTransferThreadClusterArrangeOrder,
S<1, 0, 2>, // typename ABlockTransferSrcAccessOrder,
2, // index_t ABlockTransferSrcVectorDim,
8, // index_t ABlockTransferSrcScalarPerVector,
8, // index_t ABlockTransferDstScalarPerVector_AK1,
1, // bool ABlockLdsExtraM,
S<4, 64, 1>, // typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
S<1, 0, 2>, // typename BBlockTransferThreadClusterArrangeOrder,
S<1, 0, 2>, // typename BBlockTransferSrcAccessOrder,
2, // index_t BBlockTransferSrcVectorDim,
8, // index_t BBlockTransferSrcScalarPerVector,
8, // index_t BBlockTransferDstScalarPerVector_BK1,
1, // bool BBlockLdsExtraN,
1, // index_t CShuffleMXdlPerWavePerShuffle,
1, // index_t CShuffleNXdlPerWavePerShuffle,
S<1, 32, 1, 8>, // typename CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
8>; // index_t CShuffleBlockTransferScalarPerVector_NPerBlock>
// clang-format on
using ReferenceGemmInstance = ck::tensor_operation::host::
......
example/01_gemm/gemm_xdl_fp16.cpp
View file @ 96c73d70
......@@ -46,7 +46,7 @@ static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpeciali
static constexpr auto GemmMNPadding = ck::tensor_operation::device::GemmSpecialization::MNPadding;
// clang-format off
#if 0
#if 1
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle
//######| 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|
......
example/01_gemm/gemm_xdl_int8.cpp
View file @ 96c73d70
......@@ -11,8 +11,7 @@
#include "host_tensor.hpp"
#include "host_tensor_generator.hpp"
#include "device_tensor.hpp"
#include "device_gemm_xdl.hpp"
#include "device_gemm_xdl_c_shuffle.hpp"
#include "device_gemm_xdl_cshuffle.hpp"
#include "element_wise_operation.hpp"
#include "reference_gemm.hpp"
#include "gemm_specialization.hpp"
......@@ -20,64 +19,63 @@
template <ck::index_t... Is>
using S = ck::Sequence<Is...>;
using F32 = float;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
using PassThrough = ck::tensor_operation::element_wise::PassThrough;
using ADataType = int8_t;
using BDataType = int8_t;
using CDataType = int32_t;
using CDataType = int8_t;
using AccDataType = int32_t;
using CShuffleDataType = int32_t;
using CShuffleDataType = int8_t;
using ALayout = ck::tensor_layout::gemm::RowMajor;
using BLayout = ck::tensor_layout::gemm::ColumnMajor;
using CLayout = ck::tensor_layout::gemm::RowMajor;
static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::Default;
// clang-format off
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemmXdl_C_Shuffle<
ADataType, // ADataType
BDataType, // BDataType
CDataType, // CDataType
AccDataType, // AccDataType
CShuffleDataType, // CShuffleDataType
ALayout, // ALayout
BLayout, // BLayout
CLayout, // CLayout
PassThrough, // AElementwiseOperation
PassThrough, // BElementwiseOperation
PassThrough, // CElementwiseOperation
256, // BlockSize
256, // MPerBlock
128, // NPerBlock
64, // KPerBlock
16, // AK1
16, // BK1
32, // MPerXDL
32, // NPerXDL
4, // MXdlPerWave
2, // NXdlPerWave
S<4, 64, 1>, // ABlockTransferThreadClusterLengths_K0_M_K1
S<1, 0, 2>, // ABlockTransferThreadClusterArrangeOrder
S<1, 0, 2>, // ABlockTransferSrcAccessOrder
2, // ABlockTransferSrcVectorDim
16, // ABlockTransferSrcScalarPerVector
16, // ABlockTransferDstScalarPerVector_K1
true, // ABlockLdsAddExtraM
S<4, 64, 1>, // BBlockTransferThreadClusterLengths_K0_N_K1
S<1, 0, 2>, // BBlockTransferThreadClusterArrangeOrder
S<1, 0, 2>, // BBlockTransferSrcAccessOrder
2, // BBlockTransferSrcVectorDim
16, // BBlockTransferSrcScalarPerVector
16, // BBlockTransferDstScalarPerVector_K1
true, // BBlockLdsAddExtraN
1, // CShuffleMXdlPerWavePerShuffle
1, // CShuffleNXdlPerWavePerShuffle
S<1, 1, 32, 1, 1, 8>, // CBlockTransferClusterLengths_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl
4>; // CBlockTransferScalarPerVector_NWaveNPerXdl
using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Xdl_CShuffle<
ALayout, // typename ALayout,
BLayout, // typename BLayout,
CLayout, // typename CLayout,
ADataType, // typename ADataType,
BDataType, // typename BDataType,
CDataType, // typename CDataType,
AccDataType, // typename GemmAccDataType,
CShuffleDataType, // typename CShuffleDataType,
PassThrough, // typename AElementwiseOperation,
PassThrough, // typename BElementwiseOperation,
PassThrough, // typename CElementwiseOperation,
GemmDefault, // GemmSpecialization GemmSpec,
1, // index_t NumGemmKPrefetchStage,
256, // index_t BlockSize,
256, // index_t MPerBlock,
128, // index_t NPerBlock,
64, // index_t KPerBlock,
16, // index_t AK1,
16, // index_t BK1,
32, // index_t MPerXDL,
32, // index_t NPerXDL,
4, // index_t MXdlPerWave,
2, // index_t NXdlPerWave,
S<4, 64, 1>, // typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
S<1, 0, 2>, // typename ABlockTransferThreadClusterArrangeOrder,
S<1, 0, 2>, // typename ABlockTransferSrcAccessOrder,
2, // index_t ABlockTransferSrcVectorDim,
16, // index_t ABlockTransferSrcScalarPerVector,
16, // index_t ABlockTransferDstScalarPerVector_AK1,
1, // bool ABlockLdsExtraM,
S<4, 64, 1>, // typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
S<1, 0, 2>, // typename BBlockTransferThreadClusterArrangeOrder,
S<1, 0, 2>, // typename BBlockTransferSrcAccessOrder,
2, // index_t BBlockTransferSrcVectorDim,
8, // index_t BBlockTransferSrcScalarPerVector,
8, // index_t BBlockTransferDstScalarPerVector_BK1,
1, // bool BBlockLdsExtraN,
1, // index_t CShuffleMXdlPerWavePerShuffle,
1, // index_t CShuffleNXdlPerWavePerShuffle,
S<1, 64, 1, 4>, // typename CShuffleBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
16>; // index_t CShuffleBlockTransferScalarPerVector_NPerBlock>
// clang-format on
using ReferenceGemmInstance = ck::tensor_operation::host::
......
include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer.hpp
View file @ 96c73d70
......@@ -51,7 +51,7 @@ template <typename SrcData,
typename DstData,
typename SrcDesc,
typename DstDesc,
typename DstElementwiseOperation,
typename ElementwiseOperation,
typename SliceLengths,
typename DimAccessOrder,
index_t DstVectorDim,
......@@ -70,12 +70,11 @@ struct ThreadwiseTensorSliceTransfer_v1r3
using DstCoordStep = decltype(make_tensor_coordinate_step(DstDesc{}, Index{}));
__device__ constexpr ThreadwiseTensorSliceTransfer_v1r3(
const DstDesc& dst_desc,
const Index& dst_slice_origin_idx,
const DstElementwiseOperation& dst_element_op)
__device__ constexpr ThreadwiseTensorSliceTransfer_v1r3(const DstDesc& dst_desc,
const Index& dst_slice_origin_idx,
const ElementwiseOperation& element_op)
: dst_coord_(make_tensor_coordinate(dst_desc, dst_slice_origin_idx)),
dst_element_op_{dst_element_op}
element_op_{element_op}
{
static_assert(SrcDesc::IsKnownAtCompileTime(),
"wrong! SrcDesc need to known at compile-time");
......@@ -136,13 +135,13 @@ struct ThreadwiseTensorSliceTransfer_v1r3
constexpr index_t src_offset = src_desc.CalculateOffset(
src_slice_origin_idx + idx_md + i * dst_scalar_step_in_vector);
SrcData dst_v;
SrcData v;
// apply element-wise operation
dst_element_op_(dst_v, src_buf[Number<src_offset>{}]);
element_op_(v, src_buf[Number<src_offset>{}]);
// apply type convert
dst_vector.template AsType<DstData>()(i) = type_convert<DstData>(dst_v);
dst_vector.template AsType<DstData>()(i) = type_convert<DstData>(v);
});
const bool is_dst_valid =
......@@ -213,7 +212,7 @@ struct ThreadwiseTensorSliceTransfer_v1r3
private:
DstCoord dst_coord_;
const DstElementwiseOperation dst_element_op_;
const ElementwiseOperation element_op_;
}; // namespace ThreadwiseTensorSliceTransfer_v1r3
// Assume:
......
include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r1.hpp
View file @ 96c73d70
......@@ -102,8 +102,13 @@ struct ThreadwiseTensorSliceTransfer_v6r1
// apply pointwise operation
static_for<0, ScalarPerVector, 1>{}([&](auto i) {
element_op_(dst_vector_container.template AsType<DstData>()(i),
src_vector_container.template AsType<SrcData>()[i]);
SrcData v;
// apply element-wise operation
element_op_(v, src_vector_container.template AsType<SrcData>()[i]);
// apply type convert
dst_vector_container.template AsType<DstData>()(i) = type_convert<DstData>(v);
});
const bool is_dst_valid =
......
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