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Commit 5890e300 authored by Jun Liu's avatar Jun Liu Committed by GitHub
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[Composable Kernel] update develop branch code to ck_upstream 

Merge pull request #1236 from ROCmSoftwarePlatform/develop
parents 8557901d dfb80c4e
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composable_kernel/src/kernel_wrapper/gridwise_generic_reduction_second_call_threadwise_reduce_all_dims.cpp 0 → 100644
View file @ 5890e300
/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2021 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
#include "config.hpp"
#include "number.hpp"
#include "sequence.hpp"
#include "tensor_descriptor_helper.hpp"
#include "data_type_enum_helper.hpp"
#include "reduction_common.hpp"
#include "gridwise_generic_2d_reduction_direct_threadwise.hpp"
using namespace ck;
using srcDataType =
typename get_datatype_from_enum<static_cast<DataTypeEnum_t>(CK_PARAM_SRC_DATATYPE)>::type;
using dstDataType =
typename get_datatype_from_enum<static_cast<DataTypeEnum_t>(CK_PARAM_DST_DATATYPE)>::type;
using compType =
typename get_datatype_from_enum<static_cast<DataTypeEnum_t>(CK_PARAM_REDUCE_COMPTYPE)>::type;
constexpr index_t BlockSize = CK_PARAM_BLOCKSIZE; // tunable
using toReduceDims = Sequence<CK_PARAM_TOREDUCE_DIMS>;
using invariantDims = Sequence<CK_PARAM_INVARIANT_DIMS>; // this could be empty
constexpr ReduceTensorOp_t op = static_cast<ReduceTensorOp_t>(CK_PARAM_REDUCE_OP);
constexpr NanPropagation_t nanPropaOpt = CK_PARAM_NAN_PROPAGATE == 0
? NanPropagation_t::NOT_PROPAGATE_NAN
: NanPropagation_t::PROPAGATE_NAN;
constexpr ReduceTensorIndices_t reduceIndicesOpt = CK_PARAM_REDUCE_INDICES == 0
? ReduceTensorIndices_t::NO_INDICES
: ReduceTensorIndices_t::FLATTENED_INDICES;
constexpr bool src2d_need_padding = static_cast<bool>(CK_PARAM_SRC2D_PADDING);
constexpr bool dst1d_need_padding = static_cast<bool>(CK_PARAM_DST1D_PADDING);
constexpr bool indexable = reduce_binary_operator<compType, op>::indexable;
constexpr bool need_indices = indexable && (reduceIndicesOpt != ReduceTensorIndices_t::NO_INDICES);
constexpr index_t GredThreadBufferLength = CK_PARAM_THREAD_BUFFER_LENGTH; // tunable
extern "C" __global__ void
gridwise_generic_reduce_2_prepare(int GridSize, int BlkGroupSize, void* __restrict__ ws_global)
{
(void)BlkGroupSize;
void* p_src2dDesc = ws_global;
void* p_dst1dDesc = static_cast<char*>(ws_global) + 2048;
const auto tupleDstLengths = make_tuple(1);
const auto tupleDstStrides = make_tuple(1);
auto dstDesc = make_naive_tensor_descriptor(tupleDstLengths, tupleDstStrides);
const index_t invariantLen = dstDesc.GetLength(Number<0>{});
const index_t toReduceLen = BlkGroupSize;
auto src2dDesc = make_naive_tensor_descriptor_packed(make_tuple(invariantLen, toReduceLen));
constexpr auto copySliceLen = GredThreadBufferLength;
if constexpr(src2d_need_padding)
{
const auto srcPad1 = GridSize * BlockSize - invariantLen;
const auto srcPad2 =
((toReduceLen + copySliceLen - 1) / copySliceLen) * copySliceLen - toReduceLen;
auto src2dDesc_2 =
transform_tensor_descriptor(src2dDesc,
make_tuple(make_pad_transform(invariantLen, 0, srcPad1),
make_pad_transform(toReduceLen, 0, srcPad2)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc_2)*>(p_src2dDesc) = src2dDesc_2;
}
else
{
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc)*>(p_src2dDesc) = src2dDesc;
}
if constexpr(dst1d_need_padding)
{
const auto dstPad = GridSize * BlockSize - invariantLen;
auto dst1dDesc_2 =
transform_tensor_descriptor(dstDesc,
make_tuple(make_pad_transform(invariantLen, 0, dstPad)),
make_tuple(Sequence<0>{}),
make_tuple(Sequence<0>{}));
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dst1dDesc_2)*>(p_dst1dDesc) = dst1dDesc_2;
}
else
{
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dstDesc)*>(p_dst1dDesc) = dstDesc;
}
};
struct get_ref_desc_types
{
static constexpr auto ref_tupleDstLengths = make_tuple(8);
static constexpr auto ref_dstDesc =
make_naive_tensor_descriptor(ref_tupleDstLengths, ref_tupleDstLengths);
static constexpr index_t ref_invariantLen = ref_dstDesc.GetLength(Number<0>{});
static constexpr index_t ref_toReduceLen = 8;
static constexpr auto ref_src2dDesc =
make_naive_tensor_descriptor_packed(make_tuple(ref_invariantLen, ref_toReduceLen));
using refType_src2dDesc = decltype(ref_src2dDesc);
using refType_dst1dDesc = decltype(ref_dstDesc);
// used by the DirectThreadWise and DirectWarpWise method
using refType_src2dDesc_padded_12 =
decltype(transform_tensor_descriptor(ref_src2dDesc,
make_tuple(make_pad_transform(ref_invariantLen, 0, 2),
make_pad_transform(ref_toReduceLen, 0, 2)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0>{}, Sequence<1>{})));
using refType_dst1dDesc_padded =
decltype(transform_tensor_descriptor(ref_dstDesc,
make_tuple(make_pad_transform(ref_invariantLen, 0, 2)),
make_tuple(Sequence<0>{}),
make_tuple(Sequence<0>{})));
};
using refType_src2dDesc = typename get_ref_desc_types::refType_src2dDesc;
using refType_dst1dDesc = typename get_ref_desc_types::refType_dst1dDesc;
using refType_src2dDesc_padded_12 = typename get_ref_desc_types::refType_src2dDesc_padded_12;
using refType_dst1dDesc_padded = typename get_ref_desc_types::refType_dst1dDesc_padded;
template <bool need_padding>
static __device__ auto get_reduction_src2d_descriptor(const void* p_src2dDesc)
{
if constexpr(need_padding)
return (*reinterpret_cast<const refType_src2dDesc_padded_12*>(p_src2dDesc));
else
return (*reinterpret_cast<const refType_src2dDesc*>(p_src2dDesc));
};
template <bool need_padding>
static __device__ auto get_reduction_dst1d_descriptor(const void* p_dst1dDesc)
{
if constexpr(need_padding)
return (*reinterpret_cast<const refType_dst1dDesc_padded*>(p_dst1dDesc));
else
return (*reinterpret_cast<const refType_dst1dDesc*>(p_dst1dDesc));
};
extern "C" __global__ void gridwise_generic_reduce_2(int origReduceLen,
float alpha,
const void* __restrict__ p_src_global,
float beta,
void* __restrict__ p_dst_global,
const void CONSTANT* ws_global,
long ws_buf2_bytes_offset,
void* __restrict__ indices_global)
{
(void)p_src_global;
const void* p_src2dDesc = cast_pointer_to_generic_address_space(ws_global);
const void* p_dst1dDesc = static_cast<const char*>(p_src2dDesc) + 2048;
void* ws_buf1_global = const_cast<char*>(static_cast<const char*>(p_src2dDesc) + 4096);
const auto src2dDesc = get_reduction_src2d_descriptor<src2d_need_padding>(p_src2dDesc);
const auto dst1dDesc = get_reduction_dst1d_descriptor<dst1d_need_padding>(p_dst1dDesc);
using gridwise_2d_reduce = GridwiseReduction_xy_to_x_direct_threadwise<BlockSize,
srcDataType,
dstDataType,
compType,
decltype(src2dDesc),
decltype(dst1dDesc),
op,
nanPropaOpt,
reduceIndicesOpt,
false,
true,
GredThreadBufferLength>;
void* const ws_buf2_global =
ws_buf2_bytes_offset > 0
? static_cast<void*>(static_cast<char*>(ws_buf1_global) + ws_buf2_bytes_offset)
: nullptr;
constexpr int RunId = need_indices ? 3 : 1;
gridwise_2d_reduce::template Run<RunId>(
src2dDesc,
dst1dDesc,
origReduceLen,
alpha,
static_cast<const srcDataType* const __restrict__>(ws_buf1_global),
beta,
static_cast<dstDataType* const __restrict__>(p_dst_global),
static_cast<const int* const __restrict__>(ws_buf2_global),
static_cast<int* const __restrict__>(indices_global));
};
composable_kernel/src/kernel_wrapper/gridwise_generic_reduction_second_call_threadwise.cpp → composable_kernel/src/kernel_wrapper/gridwise_generic_reduction_second_call_threadwise_reduce_partial_dims.cpp
View file @ 5890e300
......@@ -42,12 +42,8 @@ using compType =
constexpr index_t BlockSize = CK_PARAM_BLOCKSIZE; // tunable
constexpr index_t srcDims = CK_PARAM_IN_DIMS;
constexpr index_t dstDims = CK_PARAM_OUT_DIMS;
using toReduceDims = Sequence<CK_PARAM_TOREDUCE_DIMS>;
using invariantDims = Sequence<CK_PARAM_INVARIANT_DIMS>; // this could be empty
constexpr ReduceTensorOp_t op = static_cast<ReduceTensorOp_t>(CK_PARAM_REDUCE_OP);
constexpr NanPropagation_t nanPropaOpt = CK_PARAM_NAN_PROPAGATE == 0
? NanPropagation_t::NOT_PROPAGATE_NAN
......@@ -59,16 +55,6 @@ constexpr ReduceTensorIndices_t reduceIndicesOpt = CK_PARAM_REDUCE_INDICES == 0
constexpr bool src2d_need_padding = static_cast<bool>(CK_PARAM_SRC2D_PADDING);
constexpr bool dst1d_need_padding = static_cast<bool>(CK_PARAM_DST1D_PADDING);
////////////////////////////////////////////////////////////////////////////////////////
using specDims = typename sequence_merge<invariantDims, toReduceDims>::type;
static_assert(is_valid_sequence_map<specDims>::value && specDims::Size() == srcDims,
"Wrong invariant and/or toReduce dimensions!");
// The number of invariant dimensions can be zero if all dimension are to be reduced
static_assert(invariantDims::Size() > 0 || dstDims == 1,
"If all source dimensions are reduced, the dest should have only one dimension !!");
constexpr bool indexable = reduce_binary_operator<compType, op>::indexable;
constexpr bool need_indices = indexable && (reduceIndicesOpt != ReduceTensorIndices_t::NO_INDICES);
......@@ -152,12 +138,12 @@ extern "C" __global__ void gridwise_generic_reduce_2_prepare(int GridSize,
make_pad_transform(toReduceLen, 0, srcPad2)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc_2)*>(p_src2dDesc) = src2dDesc_2;
}
else
{
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc)*>(p_src2dDesc) = src2dDesc;
}
......@@ -169,17 +155,17 @@ extern "C" __global__ void gridwise_generic_reduce_2_prepare(int GridSize,
make_tuple(make_pad_transform(invariantLen, 0, dstPad)),
make_tuple(Sequence<0>{}),
make_tuple(Sequence<0>{}));
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dst1dDesc_2)*>(p_dst1dDesc) = dst1dDesc_2;
}
else
{
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dst1dDesc)*>(p_dst1dDesc) = dst1dDesc;
}
};
template <index_t srcDims, index_t dstDims, typename invariantDims, typename toReduceDims>
template <index_t dstDims>
struct get_ref_desc_types
{
static constexpr auto ref_tupleDstLengths =
......@@ -217,16 +203,11 @@ struct get_ref_desc_types
make_tuple(Sequence<0>{})));
};
using refType_src2dDesc =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::refType_src2dDesc;
using refType_dst1dDesc =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::refType_dst1dDesc;
using refType_src2dDesc = typename get_ref_desc_types<dstDims>::refType_src2dDesc;
using refType_dst1dDesc = typename get_ref_desc_types<dstDims>::refType_dst1dDesc;
using refType_src2dDesc_padded_12 =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::
refType_src2dDesc_padded_12;
using refType_dst1dDesc_padded =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::
refType_dst1dDesc_padded;
typename get_ref_desc_types<dstDims>::refType_src2dDesc_padded_12;
using refType_dst1dDesc_padded = typename get_ref_desc_types<dstDims>::refType_dst1dDesc_padded;
template <bool need_padding>
static __device__ auto get_reduction_src2d_descriptor(const void* p_src2dDesc)
......@@ -251,15 +232,15 @@ extern "C" __global__ void gridwise_generic_reduce_2(int origReduceLen,
const void* __restrict__ p_src_global,
float beta,
void* __restrict__ p_dst_global,
void* __restrict__ ws_global,
const void CONSTANT* ws_global,
long ws_buf2_bytes_offset,
void* __restrict__ indices_global)
{
(void)p_src_global;
const void* p_src2dDesc = ws_global;
const void* p_dst1dDesc = static_cast<char*>(ws_global) + 2048;
void* ws_buf1_global = static_cast<char*>(ws_global) + 4096;
const void* p_src2dDesc = cast_pointer_to_generic_address_space(ws_global);
const void* p_dst1dDesc = static_cast<const char*>(p_src2dDesc) + 2048;
void* ws_buf1_global = const_cast<char*>(static_cast<const char*>(p_src2dDesc) + 4096);
const auto src2dDesc = get_reduction_src2d_descriptor<src2d_need_padding>(p_src2dDesc);
const auto dst1dDesc = get_reduction_dst1d_descriptor<dst1d_need_padding>(p_dst1dDesc);
......
composable_kernel/src/kernel_wrapper/gridwise_generic_reduction_second_call_warpwise_reduce_all_dims.cpp 0 → 100644
View file @ 5890e300
/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2021 Advanced Micro Devices, Inc.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*******************************************************************************/
#include "config.hpp"
#include "number.hpp"
#include "sequence.hpp"
#include "tensor_descriptor_helper.hpp"
#include "data_type_enum_helper.hpp"
#include "reduction_common.hpp"
#include "gridwise_generic_2d_reduction_direct_warpwise.hpp"
using namespace ck;
using srcDataType =
typename get_datatype_from_enum<static_cast<DataTypeEnum_t>(CK_PARAM_SRC_DATATYPE)>::type;
using dstDataType =
typename get_datatype_from_enum<static_cast<DataTypeEnum_t>(CK_PARAM_DST_DATATYPE)>::type;
using compType =
typename get_datatype_from_enum<static_cast<DataTypeEnum_t>(CK_PARAM_REDUCE_COMPTYPE)>::type;
constexpr index_t BlockSize = CK_PARAM_BLOCKSIZE; // tunable
constexpr ReduceTensorOp_t op = static_cast<ReduceTensorOp_t>(CK_PARAM_REDUCE_OP);
constexpr NanPropagation_t nanPropaOpt = CK_PARAM_NAN_PROPAGATE == 0
? NanPropagation_t::NOT_PROPAGATE_NAN
: NanPropagation_t::PROPAGATE_NAN;
constexpr ReduceTensorIndices_t reduceIndicesOpt = CK_PARAM_REDUCE_INDICES == 0
? ReduceTensorIndices_t::NO_INDICES
: ReduceTensorIndices_t::FLATTENED_INDICES;
constexpr bool src2d_need_padding = static_cast<bool>(CK_PARAM_SRC2D_PADDING);
constexpr bool dst1d_need_padding = static_cast<bool>(CK_PARAM_DST1D_PADDING);
constexpr bool indexable = reduce_binary_operator<compType, op>::indexable;
constexpr bool need_indices = indexable && (reduceIndicesOpt != ReduceTensorIndices_t::NO_INDICES);
constexpr index_t GredAccessesPerThreadInWarp = CK_PARAM_ACCESSES_PER_THREAD_INWARP; // tunable
extern "C" __global__ void
gridwise_generic_reduce_2_prepare(int GridSize, int BlkGroupSize, void* __restrict__ ws_global)
{
(void)BlkGroupSize;
void* p_src2dDesc = ws_global;
void* p_dst1dDesc = static_cast<char*>(ws_global) + 2048;
const auto tupleDstLengths = make_tuple(1);
const auto tupleDstStrides = make_tuple(1);
auto dstDesc = make_naive_tensor_descriptor(tupleDstLengths, tupleDstStrides);
const index_t invariantLen = dstDesc.GetLength(Number<0>{});
const index_t toReduceLen = BlkGroupSize;
auto src2dDesc = make_naive_tensor_descriptor_packed(make_tuple(invariantLen, toReduceLen));
constexpr auto copySliceLen = warpSize * GredAccessesPerThreadInWarp;
if constexpr(src2d_need_padding)
{
const auto srcPad1 = GridSize * BlockSize / warpSize - invariantLen;
const auto srcPad2 =
((toReduceLen + copySliceLen - 1) / copySliceLen) * copySliceLen - toReduceLen;
auto src2dDesc_2 =
transform_tensor_descriptor(src2dDesc,
make_tuple(make_pad_transform(invariantLen, 0, srcPad1),
make_pad_transform(toReduceLen, 0, srcPad2)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc_2)*>(p_src2dDesc) = src2dDesc_2;
}
else
{
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc)*>(p_src2dDesc) = src2dDesc;
}
if constexpr(dst1d_need_padding)
{
const auto dstPad = GridSize * BlockSize / warpSize - invariantLen;
auto dst1dDesc_2 =
transform_tensor_descriptor(dstDesc,
make_tuple(make_pad_transform(invariantLen, 0, dstPad)),
make_tuple(Sequence<0>{}),
make_tuple(Sequence<0>{}));
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dst1dDesc_2)*>(p_dst1dDesc) = dst1dDesc_2;
}
else
{
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dstDesc)*>(p_dst1dDesc) = dstDesc;
}
};
struct get_ref_desc_types
{
static constexpr auto ref_tupleDstLengths = make_tuple(8);
static constexpr auto ref_dstDesc =
make_naive_tensor_descriptor(ref_tupleDstLengths, ref_tupleDstLengths);
static constexpr index_t ref_invariantLen = ref_dstDesc.GetLength(Number<0>{});
static constexpr index_t ref_toReduceLen = 8;
static constexpr auto ref_src2dDesc =
make_naive_tensor_descriptor_packed(make_tuple(ref_invariantLen, ref_toReduceLen));
using refType_src2dDesc = decltype(ref_src2dDesc);
using refType_dst1dDesc = decltype(ref_dstDesc);
// used by the DirectThreadWise and DirectWarpWise method
using refType_src2dDesc_padded_12 =
decltype(transform_tensor_descriptor(ref_src2dDesc,
make_tuple(make_pad_transform(ref_invariantLen, 0, 2),
make_pad_transform(ref_toReduceLen, 0, 2)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0>{}, Sequence<1>{})));
using refType_dst1dDesc_padded =
decltype(transform_tensor_descriptor(ref_dstDesc,
make_tuple(make_pad_transform(ref_invariantLen, 0, 2)),
make_tuple(Sequence<0>{}),
make_tuple(Sequence<0>{})));
};
using refType_src2dDesc = typename get_ref_desc_types::refType_src2dDesc;
using refType_dst1dDesc = typename get_ref_desc_types::refType_dst1dDesc;
using refType_src2dDesc_padded_12 = typename get_ref_desc_types::refType_src2dDesc_padded_12;
using refType_dst1dDesc_padded = typename get_ref_desc_types::refType_dst1dDesc_padded;
template <bool need_padding>
static __device__ auto get_reduction_src2d_descriptor(const void* p_src2dDesc)
{
if constexpr(need_padding)
return (*reinterpret_cast<const refType_src2dDesc_padded_12*>(p_src2dDesc));
else
return (*reinterpret_cast<const refType_src2dDesc*>(p_src2dDesc));
};
template <bool need_padding>
static __device__ auto get_reduction_dst1d_descriptor(const void* p_dst1dDesc)
{
if constexpr(need_padding)
return (*reinterpret_cast<const refType_dst1dDesc_padded*>(p_dst1dDesc));
else
return (*reinterpret_cast<const refType_dst1dDesc*>(p_dst1dDesc));
};
extern "C" __global__ void gridwise_generic_reduce_2(int origReduceLen,
float alpha,
const void* __restrict__ p_src_global,
float beta,
void* __restrict__ p_dst_global,
const void CONSTANT* ws_global,
long ws_buf2_bytes_offset,
void* __restrict__ indices_global)
{
(void)p_src_global;
const void* p_src2dDesc = cast_pointer_to_generic_address_space(ws_global);
const void* p_dst1dDesc = static_cast<const char*>(p_src2dDesc) + 2048;
void* ws_buf1_global = const_cast<char*>(static_cast<const char*>(p_src2dDesc) + 4096);
const auto src2dDesc = get_reduction_src2d_descriptor<src2d_need_padding>(p_src2dDesc);
const auto dst1dDesc = get_reduction_dst1d_descriptor<dst1d_need_padding>(p_dst1dDesc);
using gridwise_2d_reduce =
GridwiseReduction_xy_to_x_direct_warpwise<BlockSize,
srcDataType,
dstDataType,
compType,
decltype(src2dDesc),
decltype(dst1dDesc),
op,
nanPropaOpt,
reduceIndicesOpt,
false,
true,
GredAccessesPerThreadInWarp>;
void* const ws_buf2_global =
ws_buf2_bytes_offset > 0
? static_cast<void*>(static_cast<char*>(ws_buf1_global) + ws_buf2_bytes_offset)
: nullptr;
constexpr int RunId = need_indices ? 3 : 1;
gridwise_2d_reduce::template Run<RunId>(
src2dDesc,
dst1dDesc,
origReduceLen,
alpha,
static_cast<const srcDataType* const __restrict__>(ws_buf1_global),
beta,
static_cast<dstDataType* const __restrict__>(p_dst_global),
static_cast<const int* const __restrict__>(ws_buf2_global),
static_cast<int* const __restrict__>(indices_global));
};
composable_kernel/src/kernel_wrapper/gridwise_generic_reduction_second_call_warpwise.cpp → composable_kernel/src/kernel_wrapper/gridwise_generic_reduction_second_call_warpwise_reduce_partial_dims.cpp
View file @ 5890e300
......@@ -42,12 +42,8 @@ using compType =
constexpr index_t BlockSize = CK_PARAM_BLOCKSIZE; // tunable
constexpr index_t srcDims = CK_PARAM_IN_DIMS;
constexpr index_t dstDims = CK_PARAM_OUT_DIMS;
using toReduceDims = Sequence<CK_PARAM_TOREDUCE_DIMS>;
using invariantDims = Sequence<CK_PARAM_INVARIANT_DIMS>; // this could be empty
constexpr ReduceTensorOp_t op = static_cast<ReduceTensorOp_t>(CK_PARAM_REDUCE_OP);
constexpr NanPropagation_t nanPropaOpt = CK_PARAM_NAN_PROPAGATE == 0
? NanPropagation_t::NOT_PROPAGATE_NAN
......@@ -59,16 +55,6 @@ constexpr ReduceTensorIndices_t reduceIndicesOpt = CK_PARAM_REDUCE_INDICES == 0
constexpr bool src2d_need_padding = static_cast<bool>(CK_PARAM_SRC2D_PADDING);
constexpr bool dst1d_need_padding = static_cast<bool>(CK_PARAM_DST1D_PADDING);
////////////////////////////////////////////////////////////////////////////////////////
using specDims = typename sequence_merge<invariantDims, toReduceDims>::type;
static_assert(is_valid_sequence_map<specDims>::value && specDims::Size() == srcDims,
"Wrong invariant and/or toReduce dimensions!");
// The number of invariant dimensions can be zero if all dimension are to be reduced
static_assert(invariantDims::Size() > 0 || dstDims == 1,
"If all source dimensions are reduced, the dest should have only one dimension !!");
constexpr bool indexable = reduce_binary_operator<compType, op>::indexable;
constexpr bool need_indices = indexable && (reduceIndicesOpt != ReduceTensorIndices_t::NO_INDICES);
......@@ -153,12 +139,12 @@ extern "C" __global__ void gridwise_generic_reduce_2_prepare(int GridSize,
make_pad_transform(toReduceLen, 0, srcPad2)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc_2)*>(p_src2dDesc) = src2dDesc_2;
}
else
{
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(src2dDesc)*>(p_src2dDesc) = src2dDesc;
}
......@@ -170,17 +156,17 @@ extern "C" __global__ void gridwise_generic_reduce_2_prepare(int GridSize,
make_tuple(make_pad_transform(invariantLen, 0, dstPad)),
make_tuple(Sequence<0>{}),
make_tuple(Sequence<0>{}));
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dst1dDesc_2)*>(p_dst1dDesc) = dst1dDesc_2;
}
else
{
if(hipThreadIdx_x == 0)
if(get_thread_local_1d_id() == 0)
*static_cast<decltype(dst1dDesc)*>(p_dst1dDesc) = dst1dDesc;
}
};
template <index_t srcDims, index_t dstDims, typename invariantDims, typename toReduceDims>
template <index_t dstDims>
struct get_ref_desc_types
{
static constexpr auto ref_tupleDstLengths =
......@@ -218,16 +204,11 @@ struct get_ref_desc_types
make_tuple(Sequence<0>{})));
};
using refType_src2dDesc =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::refType_src2dDesc;
using refType_dst1dDesc =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::refType_dst1dDesc;
using refType_src2dDesc = typename get_ref_desc_types<dstDims>::refType_src2dDesc;
using refType_dst1dDesc = typename get_ref_desc_types<dstDims>::refType_dst1dDesc;
using refType_src2dDesc_padded_12 =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::
refType_src2dDesc_padded_12;
using refType_dst1dDesc_padded =
typename get_ref_desc_types<srcDims, dstDims, invariantDims, toReduceDims>::
refType_dst1dDesc_padded;
typename get_ref_desc_types<dstDims>::refType_src2dDesc_padded_12;
using refType_dst1dDesc_padded = typename get_ref_desc_types<dstDims>::refType_dst1dDesc_padded;
template <bool need_padding>
static __device__ auto get_reduction_src2d_descriptor(const void* p_src2dDesc)
......@@ -252,15 +233,15 @@ extern "C" __global__ void gridwise_generic_reduce_2(int origReduceLen,
const void* __restrict__ p_src_global,
float beta,
void* __restrict__ p_dst_global,
void* __restrict__ ws_global,
const void CONSTANT* ws_global,
long ws_buf2_bytes_offset,
void* __restrict__ indices_global)
{
(void)p_src_global;
const void* p_src2dDesc = ws_global;
const void* p_dst1dDesc = static_cast<char*>(ws_global) + 2048;
void* ws_buf1_global = static_cast<char*>(ws_global) + 4096;
const void* p_src2dDesc = cast_pointer_to_generic_address_space(ws_global);
const void* p_dst1dDesc = static_cast<const char*>(p_src2dDesc) + 2048;
void* ws_buf1_global = const_cast<char*>(static_cast<const char*>(p_src2dDesc) + 4096);
const auto src2dDesc = get_reduction_src2d_descriptor<src2d_need_padding>(p_src2dDesc);
const auto dst1dDesc = get_reduction_dst1d_descriptor<dst1d_need_padding>(p_dst1dDesc);
......
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