Skip to content

GitLab

"...git@developer.sourcefind.cn:modelzoo/solov2-pytorch.git" did not exist on "810b71106f0410d6a67ea00bbf2085a0a5d037e9"
Commit ba31eb3e authored by Chao Liu's avatar Chao Liu
Browse files

clean up

parent 08bb4372
Hide whitespace changes
Inline Side-by-side
Showing with 0 additions and 447 deletions
composable_kernel/include/tensor_operation/gridwise_dynamic_gemm.hpp
View file @ ba31eb3e
...@@ -53,452 +53,6 @@ __global__ void run_gridwise_dynamic_gemm_v1(const void __CONSTANT__* p_a_k_m_gl ...@@ -53,452 +53,6 @@ __global__ void run_gridwise_dynamic_gemm_v1(const void __CONSTANT__* p_a_k_m_gl
} }
#endif #endif
#if 0
template <index_t BlockSize,
typename FloatAB,
typename FloatAcc,
typename FloatC,
InMemoryDataOperation CGlobalMemoryDataOperation,
typename AGlobalDesc,
typename BGlobalDesc,
typename CGlobalDesc,
index_t MPerBlock,
index_t NPerBlock,
index_t KPerBlock,
index_t MPerThread,
index_t NPerThread,
index_t KPerThread,
index_t MLevel0Cluster,
index_t NLevel0Cluster,
index_t MLevel1Cluster,
index_t NLevel1Cluster,
typename ABlockTransferThreadSliceLengths_K_M,
typename ABlockTransferThreadClusterLengths_K_M,
typename ABlockTransferThreadClusterArrangeOrder,
typename ABlockTransferSrcAccessOrder,
index_t ABlockTransferSrcVectorDim,
index_t ABlockTransferSrcScalarPerVector,
index_t ABlockTransferDstScalarPerVector_M,
bool AThreadTransferSrcResetCoordinateAfterRun,
typename BBlockTransferThreadSliceLengths_K_N,
typename BBlockTransferThreadClusterLengths_K_N,
typename BBlockTransferThreadClusterArrangeOrder,
typename BBlockTransferSrcAccessOrder,
index_t BBlockTransferSrcVectorDim,
index_t BBlockTransferSrcScalarPerVector,
index_t BBlockTransferDstScalarPerVector_N,
bool BThreadTransferSrcResetCoordinateAfterRun,
typename CThreadTransferSrcDstAccessOrder,
index_t CThreadTransferSrcDstVectorDim,
index_t CThreadTransferDstScalarPerVector,
typename AGlobalIteratorHacks,
typename BGlobalIteratorHacks,
typename CGlobalIteratorHacks,
typename AGlobalMoveSliceWindowIteratorHacks,
typename BGlobalMoveSliceWindowIteratorHacks>
struct GridwiseDynamicGemm_km_kn_m0m1n0n1_v1
{
__host__ __device__ static constexpr index_t GetSharedMemoryNumberOfByte()
{
constexpr auto max_lds_align = math::lcm(Number<ABlockTransferDstScalarPerVector_M>{},
Number<BBlockTransferDstScalarPerVector_N>{},
Number<MPerThread>{},
Number<NPerThread>{});
// A matrix in LDS memory, dst of blockwise copy
// be careful of LDS alignment
constexpr auto a_k_m_block_desc = make_dynamic_naive_tensor_descriptor_aligned_v2(
make_tuple(Number<KPerBlock>{}, Number<MPerBlock>{}), max_lds_align);
// B matrix in LDS memory, dst of blockwise copy
// be careful of LDS alignment
constexpr auto b_k_n_block_desc = make_dynamic_naive_tensor_descriptor_aligned_v2(
make_tuple(Number<KPerBlock>{}, Number<NPerBlock>{}), max_lds_align);
// LDS allocation for A and B: be careful of alignment
constexpr auto a_block_space_size =
math::integer_least_multiple(a_k_m_block_desc.GetElementSpaceSize(), max_lds_align);
constexpr auto b_block_space_size =
math::integer_least_multiple(b_k_n_block_desc.GetElementSpaceSize(), max_lds_align);
return 2 * (a_block_space_size + b_block_space_size) * sizeof(FloatAB);
}
template <bool HasMainKBlockLoop, bool HasDoubleTailKBlockLoop>
__device__ void Run(const AGlobalDesc& a_k_m_global_desc,
const FloatAB* __restrict__ p_a_global,
const BGlobalDesc& b_k_n_global_desc,
const FloatAB* __restrict__ p_b_global,
const CGlobalDesc& c_m0_m1_n0_n1_global_desc,
FloatC* __restrict__ p_c_global,
FloatAB* __restrict__ p_shared_block,
integral_constant<bool, HasMainKBlockLoop>,
integral_constant<bool, HasDoubleTailKBlockLoop>) const
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
const auto K = a_k_m_global_desc.GetLength(I0);
const auto M = a_k_m_global_desc.GetLength(I1);
const auto N = b_k_n_global_desc.GetLength(I1);
// divide block work by [M, N]
#if 0
const auto m_block_work_num = M / Number<MPerBlock>{};
const auto n_block_work_num = N / Number<NPerBlock>{};
const index_t m_block_work_id = get_block_1d_id() / n_block_work_num;
const index_t n_block_work_id = get_block_1d_id() - m_block_work_id * n_block_work_num;
#else
// Hack: this force result into SGPR
const index_t m_block_work_num = __builtin_amdgcn_readfirstlane(M / MPerBlock);
const index_t n_block_work_num = __builtin_amdgcn_readfirstlane(N / NPerBlock);
const index_t m_block_work_id =
__builtin_amdgcn_readfirstlane(get_block_1d_id() / n_block_work_num);
const index_t n_block_work_id = get_block_1d_id() - m_block_work_id * n_block_work_num;
#endif
const index_t m_block_data_on_global = m_block_work_id * MPerBlock;
const index_t n_block_data_on_global = n_block_work_id * NPerBlock;
// lds max alignment
constexpr auto max_lds_align = math::lcm(Number<ABlockTransferDstScalarPerVector_M>{},
Number<BBlockTransferDstScalarPerVector_N>{},
Number<MPerThread>{},
Number<NPerThread>{});
// A matrix in LDS memory, dst of blockwise copy
// be careful of LDS alignment
constexpr auto a_k_m_block_desc = make_dynamic_naive_tensor_descriptor_aligned_v2(
make_tuple(Number<KPerBlock>{}, Number<MPerBlock>{}), max_lds_align);
// B matrix in LDS memory, dst of blockwise copy
// be careful of LDS alignment
constexpr auto b_k_n_block_desc = make_dynamic_naive_tensor_descriptor_aligned_v2(
make_tuple(Number<KPerBlock>{}, Number<NPerBlock>{}), max_lds_align);
// A matrix blockwise copy
auto a_blockwise_copy =
BlockwiseDynamicTensorSliceTransfer_v4<BlockSize,
InMemoryDataOperation::Set,
Sequence<KPerBlock, MPerBlock>,
ABlockTransferThreadSliceLengths_K_M,
ABlockTransferThreadClusterLengths_K_M,
ABlockTransferThreadClusterArrangeOrder,
FloatAB,
FloatAB,
decltype(a_k_m_global_desc),
decltype(a_k_m_block_desc),
ABlockTransferSrcAccessOrder,
Sequence<0, 1>,
ABlockTransferSrcVectorDim,
1,
ABlockTransferSrcScalarPerVector,
ABlockTransferDstScalarPerVector_M,
AddressSpace::Global,
AddressSpace::Lds,
1,
1,
AThreadTransferSrcResetCoordinateAfterRun,
true>(
a_k_m_global_desc,
make_multi_index(0, m_block_data_on_global),
a_k_m_block_desc,
make_multi_index(0, 0));
// B matrix blockwise copy
auto b_blockwise_copy =
BlockwiseDynamicTensorSliceTransfer_v4<BlockSize,
InMemoryDataOperation::Set,
Sequence<KPerBlock, NPerBlock>,
BBlockTransferThreadSliceLengths_K_N,
BBlockTransferThreadClusterLengths_K_N,
BBlockTransferThreadClusterArrangeOrder,
FloatAB,
FloatAB,
decltype(b_k_n_global_desc),
decltype(b_k_n_block_desc),
BBlockTransferSrcAccessOrder,
Sequence<0, 1>,
BBlockTransferSrcVectorDim,
1,
BBlockTransferSrcScalarPerVector,
BBlockTransferDstScalarPerVector_N,
AddressSpace::Global,
AddressSpace::Lds,
1,
1,
BThreadTransferSrcResetCoordinateAfterRun,
true>(
b_k_n_global_desc,
make_multi_index(0, n_block_data_on_global),
b_k_n_block_desc,
make_multi_index(0, 0));
// GEMM definition
// c_mtx += transpose(a_mtx) * b_mtx
// a_mtx[KPerBlock, MPerBlock] is in LDS
// b_mtx[KPerBlocl, NPerBlock] is in LDS
// c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
// register
// sanity check
static_assert(MPerBlock % (MPerThread * MLevel0Cluster * MLevel1Cluster) == 0 &&
NPerBlock % (NPerThread * NLevel0Cluster * NLevel1Cluster) == 0,
"wrong!");
constexpr index_t MRepeat = MPerBlock / (MPerThread * MLevel0Cluster * MLevel1Cluster);
constexpr index_t NRepeat = NPerBlock / (NPerThread * NLevel0Cluster * NLevel1Cluster);
// c_thread_mtx definition: this is a mess
// TODO:: more elegent way of defining c_thread_mtx
constexpr auto c_m0m1_n0n1_thread_desc = make_dynamic_naive_tensor_descriptor_packed_v2(
make_tuple(Number<MRepeat * MPerThread>{}, Number<NRepeat * NPerThread>{}));
const auto blockwise_gemm =
BlockwiseGemm_km_kn_m0m1n0n1_v1<BlockSize,
FloatAB,
FloatAB,
FloatAcc,
decltype(a_k_m_block_desc),
decltype(b_k_n_block_desc),
decltype(c_m0m1_n0n1_thread_desc),
MPerThread,
NPerThread,
KPerThread,
MLevel0Cluster,
NLevel0Cluster,
MLevel1Cluster,
NLevel1Cluster,
MPerThread,
NPerThread>{};
// LDS allocation for A and B: be careful of alignment
constexpr auto a_block_space_size =
math::integer_least_multiple(a_k_m_block_desc.GetElementSpaceSize(), max_lds_align);
constexpr auto b_block_space_size =
math::integer_least_multiple(b_k_n_block_desc.GetElementSpaceSize(), max_lds_align);
FloatAB* p_a_block_double = p_shared_block;
FloatAB* p_b_block_double = p_shared_block + 2 * a_block_space_size;
// register allocation for output
FloatAcc p_c_thread[c_m0m1_n0n1_thread_desc.GetElementSpaceSize()];
// zero out threadwise output
threadwise_matrix_set_zero_v2(c_m0m1_n0n1_thread_desc, p_c_thread);
constexpr auto a_block_slice_copy_step = make_multi_index(KPerBlock, 0);
constexpr auto b_block_slice_copy_step = make_multi_index(KPerBlock, 0);
// hack to control index calculation when iterating over A and B matrix for threadwise copy
constexpr auto a_k_m_global_iterator_hacks = AGlobalIteratorHacks{};
constexpr auto b_k_n_global_iterator_hacks = BGlobalIteratorHacks{};
// hack to control index calculation when move slice window for A and B matrix for
// threadwise copy
constexpr auto a_k_m_global_move_slice_window_iterator_hack =
AGlobalMoveSliceWindowIteratorHacks{};
constexpr auto b_k_n_global_move_slice_window_iterator_hack =
BGlobalMoveSliceWindowIteratorHacks{};
// LDS double buffer: preload data into LDS
{
a_blockwise_copy.RunRead(a_k_m_global_desc, p_a_global, a_k_m_global_iterator_hacks);
b_blockwise_copy.RunRead(b_k_n_global_desc, p_b_global, b_k_n_global_iterator_hacks);
a_blockwise_copy.RunWrite(a_k_m_block_desc, p_a_block_double);
b_blockwise_copy.RunWrite(b_k_n_block_desc, p_b_block_double);
}
if constexpr(HasMainKBlockLoop)
{
FloatAB* p_a_block_even = p_a_block_double;
FloatAB* p_b_block_even = p_b_block_double;
FloatAB* p_a_block_odd = p_a_block_double + a_block_space_size;
FloatAB* p_b_block_odd = p_b_block_double + b_block_space_size;
index_t k_block_data_begin = 0;
// LDS double buffer: main body
// use Do-While loop instead of For loop to simplify control flow
do
{
// even iteration
a_blockwise_copy.MoveSrcSliceWindow(a_k_m_global_desc,
a_block_slice_copy_step,
a_k_m_global_move_slice_window_iterator_hack);
b_blockwise_copy.MoveSrcSliceWindow(b_k_n_global_desc,
b_block_slice_copy_step,
b_k_n_global_move_slice_window_iterator_hack);
__syncthreads();
// LDS doubel buffer: load next data from device mem
a_blockwise_copy.RunRead(
a_k_m_global_desc, p_a_global, a_k_m_global_iterator_hacks);
b_blockwise_copy.RunRead(
b_k_n_global_desc, p_b_global, b_k_n_global_iterator_hacks);
// LDS double buffer: GEMM on current data
blockwise_gemm.Run(p_a_block_even, p_b_block_even, p_c_thread);
// LDS double buffer: store next data to LDS
a_blockwise_copy.RunWrite(a_k_m_block_desc, p_a_block_odd);
b_blockwise_copy.RunWrite(b_k_n_block_desc, p_b_block_odd);
// odd iteration
a_blockwise_copy.MoveSrcSliceWindow(a_k_m_global_desc,
a_block_slice_copy_step,
a_k_m_global_move_slice_window_iterator_hack);
b_blockwise_copy.MoveSrcSliceWindow(b_k_n_global_desc,
b_block_slice_copy_step,
b_k_n_global_move_slice_window_iterator_hack);
__syncthreads();
// LDS doubel buffer: load next data from device mem
a_blockwise_copy.RunRead(
a_k_m_global_desc, p_a_global, a_k_m_global_iterator_hacks);
b_blockwise_copy.RunRead(
b_k_n_global_desc, p_b_global, b_k_n_global_iterator_hacks);
// LDS double buffer: GEMM on current data
blockwise_gemm.Run(p_a_block_odd, p_b_block_odd, p_c_thread);
// LDS double buffer: store next data to LDS
a_blockwise_copy.RunWrite(a_k_m_block_desc, p_a_block_even);
b_blockwise_copy.RunWrite(b_k_n_block_desc, p_b_block_even);
k_block_data_begin += 2 * KPerBlock;
} while(k_block_data_begin < K - 2 * KPerBlock);
}
// LDS double buffer: tail
if constexpr(HasDoubleTailKBlockLoop) // if has 2 iteration left
{
a_blockwise_copy.MoveSrcSliceWindow(a_k_m_global_desc,
a_block_slice_copy_step,
a_k_m_global_move_slice_window_iterator_hack);
b_blockwise_copy.MoveSrcSliceWindow(b_k_n_global_desc,
b_block_slice_copy_step,
b_k_n_global_move_slice_window_iterator_hack);
__syncthreads();
// LDS double buffer: load last data from device mem
a_blockwise_copy.RunRead(a_k_m_global_desc, p_a_global, a_k_m_global_iterator_hacks);
b_blockwise_copy.RunRead(b_k_n_global_desc, p_b_global, b_k_n_global_iterator_hacks);
// LDS double buffer: GEMM on 2nd-last data
blockwise_gemm.Run(p_a_block_double, p_b_block_double, p_c_thread);
// LDS double buffer: store last data to LDS
a_blockwise_copy.RunWrite(a_k_m_block_desc, p_a_block_double + a_block_space_size);
b_blockwise_copy.RunWrite(b_k_n_block_desc, p_b_block_double + b_block_space_size);
__syncthreads();
// LDS double buffer: GEMM on last data
blockwise_gemm.Run(p_a_block_double + a_block_space_size,
p_b_block_double + b_block_space_size,
p_c_thread);
}
else // if has 1 iteration left
{
__syncthreads();
// LDS double buffer: GEMM on last data
blockwise_gemm.Run(p_a_block_double, p_b_block_double, p_c_thread);
}
// output: register to global memory
{
constexpr auto M1 = Number<MPerThread * MLevel0Cluster * MLevel1Cluster>{};
constexpr auto N1 = Number<NPerThread * NLevel0Cluster * NLevel1Cluster>{};
// define input tensor descriptor for threadwise copy
// thread input tensor, src of threadwise copy
constexpr auto c_m0_m1_n0_n1_thread_desc =
make_dynamic_naive_tensor_descriptor_packed_v2(make_tuple(Number<MRepeat>{},
Number<MPerThread>{},
Number<NRepeat>{},
Number<NPerThread>{}));
// calculate origin of thread input tensor on global memory
// blockwise GEMM c matrix starting index
const auto c_thread_mtx_on_block =
blockwise_gemm.GetBeginOfThreadMatrixC(get_thread_local_1d_id());
const index_t m_thread_data_on_global =
m_block_data_on_global + c_thread_mtx_on_block.row;
const index_t n_thread_data_on_global =
n_block_data_on_global + c_thread_mtx_on_block.col;
// hack to control index calculation when iterating over c_m0_m1_n0_n1_global tensor
constexpr auto c_m0_m1_n0_n1_global_tensor_iterator_hacks = CGlobalIteratorHacks{};
constexpr auto tmp = make_unmerge_transform(make_tuple(
Number<MRepeat>{}, Number<MPerThread>{}, Number<NRepeat>{}, Number<NPerThread>{}));
ThreadwiseDynamicTensorSliceTransfer_v1r3<
FloatAcc,
FloatC,
decltype(c_m0_m1_n0_n1_thread_desc),
decltype(c_m0_m1_n0_n1_global_desc),
Sequence<MRepeat, MPerThread, NRepeat, NPerThread>,
CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector,
AddressSpace::Vgpr,
AddressSpace::Global,
CGlobalMemoryDataOperation,
1,
true>(c_m0_m1_n0_n1_global_desc,
make_multi_index(m_thread_data_on_global / M1,
m_thread_data_on_global % M1,
n_thread_data_on_global / N1,
n_thread_data_on_global % N1))
.Run(c_m0_m1_n0_n1_thread_desc,
make_tuple(I0, I0, I0, I0),
p_c_thread,
c_m0_m1_n0_n1_global_desc,
p_c_global,
c_m0_m1_n0_n1_global_tensor_iterator_hacks);
}
}
template <bool HasMainKBlockLoop, bool HasDoubleTailKBlockLoop>
__device__ void Run(const AGlobalDesc& a_k_m_global_desc,
const FloatAB* __restrict__ p_a_global,
const BGlobalDesc& b_k_n_global_desc,
const FloatAB* __restrict__ p_b_global,
const CGlobalDesc& c_m0_m1_n0_n1_global_desc,
FloatC* __restrict__ p_c_global,
integral_constant<bool, HasMainKBlockLoop>,
integral_constant<bool, HasDoubleTailKBlockLoop>) const
{
constexpr index_t shared_block_size = GetSharedMemoryNumberOfByte() / sizeof(FloatAB);
__shared__ FloatAB p_shared_block[shared_block_size];
Run(a_k_m_global_desc,
p_a_global,
b_k_n_global_desc,
p_b_global,
c_m0_m1_n0_n1_global_desc,
p_c_global,
p_shared_block,
integral_constant<bool, HasMainKBlockLoop>{},
integral_constant<bool, HasDoubleTailKBlockLoop>{});
}
};
#else
template <index_t BlockSize, template <index_t BlockSize,
typename FloatAB, typename FloatAB,
typename FloatAcc, typename FloatAcc,
...@@ -950,7 +504,6 @@ struct GridwiseDynamicGemm_km_kn_m0m1n0n1_v1 ...@@ -950,7 +504,6 @@ struct GridwiseDynamicGemm_km_kn_m0m1n0n1_v1
integral_constant<bool, HasDoubleTailKBlockLoop>{}); integral_constant<bool, HasDoubleTailKBlockLoop>{});
} }
}; };
#endif
} // namespace ck } // namespace ck
#endif #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