mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-11 08:50:17 +00:00
implicit gemm v3 added lds double buffer
This commit is contained in:
Chao Liu
@@ -3,6 +3,7 @@
|
||||
#include "device.hpp"
|
||||
#include "gridwise_convolution_wrapper.hip.hpp"
|
||||
#include "gridwise_convolution_implicit_gemm_v3_nchw_cyxk_nkhw.hip.hpp"
|
||||
#include "gridwise_convolution_implicit_gemm_v3_lds_double_buffer_nchw_cyxk_nkhw.hip.hpp"
|
||||
|
||||
template <class T, class InDesc, class WeiDesc, class OutDesc>
|
||||
void device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw(InDesc,
|
||||
@@ -98,8 +99,10 @@ void device_convolution_implicit_gemm_v3_nchw_cyxk_nkhw(InDesc,
|
||||
for(index_t i = 0; i < nrepeat; ++i)
|
||||
{
|
||||
constexpr auto gridwise_conv =
|
||||
#if 1
|
||||
#if 0
|
||||
GridwiseConvolutionImplicitGemm_v3_nchw_cyxk_nkhw
|
||||
#else
|
||||
GridwiseConvolutionImplicitGemm_v3_lds_double_buffer_nchw_cyxk_nkhw
|
||||
#endif
|
||||
<GridSize,
|
||||
BlockSize,
|
||||
|
||||
@@ -422,7 +422,7 @@ int main(int argc, char* argv[])
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 1
|
||||
#elif 0
|
||||
// 3x3, 34x34
|
||||
constexpr index_t N = 64;
|
||||
constexpr index_t C = 256;
|
||||
@@ -446,7 +446,7 @@ int main(int argc, char* argv[])
|
||||
|
||||
constexpr index_t HPad = 0;
|
||||
constexpr index_t WPad = 0;
|
||||
#elif 0
|
||||
#elif 1
|
||||
// 3x3 filter, 28x28 image
|
||||
constexpr index_t N = 128;
|
||||
constexpr index_t C = 256;
|
||||
|
||||
@@ -0,0 +1,419 @@
|
||||
#pragma once
|
||||
#include "common.hip.hpp"
|
||||
#include "ConstantTensorDescriptor.hip.hpp"
|
||||
#include "ConstantMergedTensorDescriptor.hip.hpp"
|
||||
#include "ConstantMatrixDescriptor.hip.hpp"
|
||||
#include "blockwise_generic_tensor_slice_op.hip.hpp"
|
||||
#include "blockwise_gemm.hip.hpp"
|
||||
#include "threadwise_tensor_slice_op.hip.hpp"
|
||||
|
||||
// define B = merge(N, Ho, Wo)
|
||||
template <index_t GridSize,
|
||||
index_t BlockSize,
|
||||
class Float,
|
||||
class InGlobalDesc,
|
||||
class WeiGlobalDesc,
|
||||
class OutGlobalDesc,
|
||||
index_t BPerBlock,
|
||||
index_t KPerBlock,
|
||||
index_t CPerBlock,
|
||||
index_t N1,
|
||||
index_t N2,
|
||||
index_t GemmMPerThreadSubC,
|
||||
index_t GemmNPerThreadSubC,
|
||||
index_t GemmMLevel0Cluster,
|
||||
index_t GemmNLevel0Cluster,
|
||||
index_t GemmMLevel1Cluster,
|
||||
index_t GemmNLevel1Cluster,
|
||||
index_t GemmKPerThreadLoop,
|
||||
index_t GemmDataPerReadA,
|
||||
index_t GemmDataPerReadB,
|
||||
class InBlockCopySubLengths_C_N1_B_N2,
|
||||
class InBlockCopyClusterLengths_C_N1_B_N2,
|
||||
index_t InBlockCopySrcDataPerRead_B,
|
||||
index_t InBlockCopyDstDataPerWrite_N2,
|
||||
class WeiBlockCopySubLengths_C_K,
|
||||
class WeiBlockCopyClusterLengths_C_K,
|
||||
index_t WeiBlockCopyDataPerAccess_K>
|
||||
struct GridwiseConvolutionImplicitGemm_v3_lds_double_buffer_nchw_cyxk_nkhw
|
||||
{
|
||||
__device__ void Run(const Float* const __restrict__ p_in_global,
|
||||
const Float* const __restrict__ p_wei_global,
|
||||
Float* const __restrict__ p_out_global) const
|
||||
{
|
||||
// this is a mess
|
||||
// TODO: fidn more elegent way of specifying (or calculating) performance parameters
|
||||
static_assert(N2 == GemmNPerThreadSubC, "wrong!");
|
||||
static_assert((N1 * N2 * BPerBlock) %
|
||||
(GemmNPerThreadSubC * GemmNLevel0Cluster * GemmNLevel1Cluster) ==
|
||||
0,
|
||||
"wrong!");
|
||||
|
||||
constexpr auto I0 = Number<0>{};
|
||||
constexpr auto I1 = Number<1>{};
|
||||
constexpr auto I2 = Number<2>{};
|
||||
constexpr auto I3 = Number<3>{};
|
||||
constexpr auto I4 = Number<4>{};
|
||||
constexpr auto I5 = Number<5>{};
|
||||
constexpr auto I6 = Number<6>{};
|
||||
constexpr auto I7 = Number<7>{};
|
||||
|
||||
constexpr auto in_n_c_h_w_global_desc = InGlobalDesc{};
|
||||
constexpr auto wei_c_y_x_k_global_desc = WeiGlobalDesc{};
|
||||
constexpr auto out_n_k_h_w_global_desc = OutGlobalDesc{};
|
||||
|
||||
constexpr index_t N = in_n_c_h_w_global_desc.GetLength(I0);
|
||||
constexpr index_t C = in_n_c_h_w_global_desc.GetLength(I1);
|
||||
constexpr index_t Hi = in_n_c_h_w_global_desc.GetLength(I2);
|
||||
constexpr index_t Wi = in_n_c_h_w_global_desc.GetLength(I3);
|
||||
|
||||
constexpr index_t K = out_n_k_h_w_global_desc.GetLength(I1);
|
||||
constexpr index_t Ho = out_n_k_h_w_global_desc.GetLength(I2);
|
||||
constexpr index_t Wo = out_n_k_h_w_global_desc.GetLength(I3);
|
||||
|
||||
constexpr index_t Y = wei_c_y_x_k_global_desc.GetLength(I1);
|
||||
constexpr index_t X = wei_c_y_x_k_global_desc.GetLength(I2);
|
||||
|
||||
static_assert(N % (N1 * N2) == 0, "wrong! cannot divice N evenly among thread");
|
||||
|
||||
constexpr index_t N0 = N / (N1 * N2);
|
||||
|
||||
constexpr index_t B = N0 * Ho * Wo;
|
||||
|
||||
// divide block work by [K, B]
|
||||
static_assert(K % KPerBlock == 0 && B % BPerBlock == 0 && C % (2 * CPerBlock) == 0,
|
||||
"wrong! cannot divide work evenly among block");
|
||||
|
||||
constexpr index_t KBlockWork = K / KPerBlock;
|
||||
constexpr index_t BBlockWork = B / BPerBlock;
|
||||
|
||||
constexpr auto block_work_desc =
|
||||
make_ConstantTensorDescriptor_default_rank_packed(Sequence<KBlockWork, BBlockWork>{});
|
||||
|
||||
const auto block_work_multi_id =
|
||||
block_work_desc.GetMultiIndexFrom1dIndex(get_block_1d_id());
|
||||
|
||||
const index_t k_block_data_on_global = block_work_multi_id[0] * KPerBlock;
|
||||
const index_t b_block_data_on_global = block_work_multi_id[1] * BPerBlock;
|
||||
|
||||
// input tensor
|
||||
// memory layout descriptor in device memory [N0, N1, N2, C, H, W]
|
||||
constexpr auto in_n0_n1_n2_c_h_w_global_mem_desc =
|
||||
in_n_c_h_w_global_desc.Fold(I0, Number<N1>{}, Number<N2>{});
|
||||
|
||||
// merged tensor descriptor in device memory [C, N1, B, N2], src of blockwise copy
|
||||
constexpr auto in_c_n1_b_n2_global_merged_desc = make_ConstantMergedTensorDescriptor(
|
||||
in_n0_n1_n2_c_h_w_global_mem_desc.Slice(I4, Number<Ho>{}).Slice(I5, Number<Wo>{}),
|
||||
Sequence<3>{},
|
||||
Sequence<1>{},
|
||||
Sequence<0, 4, 5>{},
|
||||
Sequence<2>{});
|
||||
|
||||
// memory layout descriptor in LDS [C, N1, B, N2], dst of blockwise copy
|
||||
// be careful of LDS alignment
|
||||
constexpr auto in_c_n1_b_n2_block_mem_desc =
|
||||
make_ConstantTensorDescriptor_default_rank_aligned(
|
||||
Sequence<CPerBlock, N1, BPerBlock, N2>{}, Number<InBlockCopyDstDataPerWrite_N2>{});
|
||||
|
||||
// this check is ad-hoc
|
||||
// TODO: need to properly implement tensor descriptor with alignment
|
||||
static_assert(in_c_n1_b_n2_block_mem_desc.GetStride(I1) % GemmDataPerReadB == 0,
|
||||
"GemmDataPerReadB alignment requirement is not satisfied");
|
||||
|
||||
// input blockwise copy
|
||||
// slice a merged tensor, reorder and copy to a normal tensor
|
||||
// this copy operator already has blockwise offset built-in
|
||||
const auto blockwise_in_copy = BlockwiseGenericTensorSliceCopy_v1<
|
||||
BlockSize,
|
||||
Float,
|
||||
decltype(in_c_n1_b_n2_global_merged_desc),
|
||||
decltype(in_c_n1_b_n2_block_mem_desc),
|
||||
decltype(in_c_n1_b_n2_block_mem_desc.GetLengths()),
|
||||
InBlockCopySubLengths_C_N1_B_N2,
|
||||
InBlockCopyClusterLengths_C_N1_B_N2,
|
||||
Sequence<0, 1, 3, 2>, // thread_arrange_order [C, N1, N2, B]
|
||||
Sequence<1, 3, 0, 2>, // src_access_order [N1, N2, C, B]
|
||||
Sequence<0, 1, 2, 3>, // dst_access_order [C, N1, B, N2]
|
||||
InBlockCopySrcDataPerRead_B,
|
||||
InBlockCopyDstDataPerWrite_N2>({0, 0, b_block_data_on_global, 0}, {0, 0, 0, 0});
|
||||
|
||||
// weight tensor
|
||||
// tensor descriptor in device memory, src of blockwise copy
|
||||
constexpr auto wei_c_k_global_desc = wei_c_y_x_k_global_desc.Extract(I0, I3);
|
||||
|
||||
// tensor descriptor in LDS, dst of blockwise copy
|
||||
// be careful of LDS alignment
|
||||
constexpr auto wei_c_k_block_desc = make_ConstantTensorDescriptor_default_rank_aligned(
|
||||
Sequence<CPerBlock, KPerBlock>{},
|
||||
Number<mod_conv::max(WeiBlockCopyDataPerAccess_K, GemmDataPerReadA)>{});
|
||||
|
||||
// operator for blockwise copy of weight into LDS
|
||||
// slice a tensor, and copy it into another tensor
|
||||
// this copy operator already have blockwise offset built-in
|
||||
const auto blockwise_wei_copy =
|
||||
#if 0
|
||||
BlockwiseGenericTensorSliceCopy_v1<BlockSize,
|
||||
Float,
|
||||
decltype(wei_c_k_global_desc),
|
||||
decltype(wei_c_k_block_desc),
|
||||
decltype(wei_c_k_block_desc.GetLengths()),
|
||||
WeiBlockCopySubLengths_C_K,
|
||||
WeiBlockCopyClusterLengths_C_K,
|
||||
Sequence<0, 1>, // thread_arrange_order [C, K]
|
||||
Sequence<0, 1>, // src_access_order [C, K]
|
||||
Sequence<0, 1>, // dst_access_order [C, K]
|
||||
WeiBlockCopyDataPerAccess_K,
|
||||
WeiBlockCopyDataPerAccess_K>(
|
||||
{0, k_block_data_on_global}, {0, 0});
|
||||
#else
|
||||
Blockwise2dTensorCopy3<BlockSize,
|
||||
Float,
|
||||
decltype(wei_c_k_global_desc),
|
||||
decltype(wei_c_k_block_desc),
|
||||
decltype(wei_c_k_block_desc.GetLengths()),
|
||||
WeiBlockCopyDataPerAccess_K>({0, k_block_data_on_global},
|
||||
{0, 0});
|
||||
#endif
|
||||
|
||||
// GEMM definition
|
||||
// c_mtx += transpose(a_mtx) * b_mtx
|
||||
// a_mtx[CPerBlock, KPerBlock] is in LDS
|
||||
// b_mtx[CPerBlocl, N1 * BPerBlock * N2] is in LDS
|
||||
// c_mtx[KPerBlock, N1 * BPerBlock * N2] is distributed among threads, and saved in
|
||||
// register
|
||||
constexpr auto a_c_k_block_mtx_desc =
|
||||
make_ConstantMatrixDescriptor(Number<CPerBlock>{},
|
||||
Number<KPerBlock>{},
|
||||
Number<wei_c_k_block_desc.GetStride(I0)>{});
|
||||
|
||||
constexpr auto b_c_n1bn2_block_mtx_desc =
|
||||
make_ConstantMatrixDescriptor(Number<CPerBlock>{},
|
||||
Number<N1 * BPerBlock * N2>{},
|
||||
Number<in_c_n1_b_n2_block_mem_desc.GetStride(I0)>{});
|
||||
|
||||
// sanity check
|
||||
static_assert(KPerBlock % (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster) ==
|
||||
0,
|
||||
"wrong!");
|
||||
|
||||
constexpr index_t GemmMRepeat =
|
||||
KPerBlock / (GemmMPerThreadSubC * GemmMLevel0Cluster * GemmMLevel1Cluster);
|
||||
|
||||
// c_thread_mtx definition: this is a mess
|
||||
// TODO:: more elegent way of defining c_thread_mtx
|
||||
constexpr auto c_k0k2_n1n2_thread_mtx_desc = make_ConstantMatrixDescriptor(
|
||||
Number<GemmMRepeat * GemmMPerThreadSubC>{}, Number<N1 * N2>{});
|
||||
|
||||
const auto blockwise_gemm = BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2<
|
||||
BlockSize,
|
||||
decltype(a_c_k_block_mtx_desc),
|
||||
decltype(b_c_n1bn2_block_mtx_desc),
|
||||
decltype(c_k0k2_n1n2_thread_mtx_desc),
|
||||
GemmMPerThreadSubC,
|
||||
GemmNPerThreadSubC,
|
||||
GemmMLevel0Cluster,
|
||||
GemmNLevel0Cluster,
|
||||
GemmMLevel1Cluster,
|
||||
GemmNLevel1Cluster,
|
||||
GemmKPerThreadLoop,
|
||||
GemmDataPerReadA,
|
||||
GemmDataPerReadB>{};
|
||||
|
||||
// choose GEMM implementation here
|
||||
const auto run_blockwise_gemm = [&](auto... Xs) {
|
||||
#if 1
|
||||
return blockwise_gemm.Run(Xs...);
|
||||
#elif 0
|
||||
return blockwise_gemm.Run_asm(Xs...);
|
||||
#endif
|
||||
};
|
||||
|
||||
// LDS allocation for input and weight: be careful of alignment
|
||||
constexpr index_t max_align = mod_conv::max(InBlockCopyDstDataPerWrite_N2,
|
||||
WeiBlockCopyDataPerAccess_K,
|
||||
GemmDataPerReadA,
|
||||
GemmDataPerReadB);
|
||||
|
||||
constexpr index_t in_block_space =
|
||||
in_c_n1_b_n2_block_mem_desc.GetElementSpace(Number<max_align>{});
|
||||
|
||||
constexpr index_t wei_block_space = wei_c_k_block_desc.GetElementSpace(Number<max_align>{});
|
||||
|
||||
__shared__ Float p_in_block_double[2 * in_block_space];
|
||||
__shared__ Float p_wei_block_double[2 * wei_block_space];
|
||||
|
||||
// register allocation for output
|
||||
Float p_out_thread[c_k0k2_n1n2_thread_mtx_desc.GetElementSpace()];
|
||||
|
||||
// zero out threadwise output
|
||||
threadwise_matrix_set_zero(c_k0k2_n1n2_thread_mtx_desc, p_out_thread);
|
||||
|
||||
// do work
|
||||
for(index_t y = 0; y < Y; ++y)
|
||||
{
|
||||
for(index_t x = 0; x < X; ++x)
|
||||
{
|
||||
// calculate origin of block input and weight tensor on global memory
|
||||
const Float* p_in_block_on_global =
|
||||
p_in_global + in_n_c_h_w_global_desc.GetOffsetFromMultiIndex(0, 0, y, x);
|
||||
|
||||
const Float* p_wei_block_on_global =
|
||||
p_wei_global + wei_c_y_x_k_global_desc.GetOffsetFromMultiIndex(0, y, x, 0);
|
||||
|
||||
// LDS double buffer: preload data into LDS
|
||||
{
|
||||
Float p_in_register_clipboard[blockwise_in_copy.GetRegisterClipboardSize()];
|
||||
Float p_wei_register_clipboard[blockwise_wei_copy.GetRegisterClipboardSize()];
|
||||
|
||||
blockwise_in_copy.RunLoadRegisterClipboard(p_in_block_on_global,
|
||||
p_in_register_clipboard);
|
||||
blockwise_wei_copy.RunLoadRegisterClipboard(p_wei_block_on_global,
|
||||
p_wei_register_clipboard);
|
||||
|
||||
blockwise_in_copy.RunStoreRegisterClipboard(p_in_register_clipboard,
|
||||
p_in_block_double);
|
||||
blockwise_wei_copy.RunStoreRegisterClipboard(p_wei_register_clipboard,
|
||||
p_wei_block_double);
|
||||
}
|
||||
|
||||
// LDS double buffer: main body
|
||||
for(index_t c_block_data_begin = 0; c_block_data_begin + 2 * CPerBlock < C;
|
||||
c_block_data_begin += 2 * CPerBlock)
|
||||
{
|
||||
#pragma unroll
|
||||
for(index_t iloop = 0; iloop < 2; ++iloop)
|
||||
{
|
||||
const bool even_loop = (iloop % 2 == 0);
|
||||
|
||||
Float* p_in_block_now =
|
||||
even_loop ? p_in_block_double : p_in_block_double + in_block_space;
|
||||
Float* p_wei_block_now =
|
||||
even_loop ? p_wei_block_double : p_wei_block_double + wei_block_space;
|
||||
|
||||
Float* p_in_block_next =
|
||||
even_loop ? p_in_block_double + in_block_space : p_in_block_double;
|
||||
Float* p_wei_block_next =
|
||||
even_loop ? p_wei_block_double + wei_block_space : p_wei_block_double;
|
||||
|
||||
Float p_in_register_clipboard[blockwise_in_copy.GetRegisterClipboardSize()];
|
||||
Float
|
||||
p_wei_register_clipboard[blockwise_wei_copy.GetRegisterClipboardSize()];
|
||||
|
||||
p_in_block_on_global += CPerBlock * in_n_c_h_w_global_desc.GetStride(I1);
|
||||
p_wei_block_on_global += CPerBlock * wei_c_y_x_k_global_desc.GetStride(I0);
|
||||
|
||||
__syncthreads();
|
||||
|
||||
// LDS doubel buffer: load next data from device mem
|
||||
blockwise_in_copy.RunLoadRegisterClipboard(p_in_block_on_global,
|
||||
p_in_register_clipboard);
|
||||
blockwise_wei_copy.RunLoadRegisterClipboard(p_wei_block_on_global,
|
||||
p_wei_register_clipboard);
|
||||
|
||||
// LDS double buffer: GEMM on current data
|
||||
run_blockwise_gemm(p_wei_block_now, p_in_block_now, p_out_thread);
|
||||
|
||||
// LDS double buffer: store next data to LDS
|
||||
blockwise_in_copy.RunStoreRegisterClipboard(p_in_register_clipboard,
|
||||
p_in_block_next);
|
||||
blockwise_wei_copy.RunStoreRegisterClipboard(p_wei_register_clipboard,
|
||||
p_wei_block_next);
|
||||
}
|
||||
}
|
||||
|
||||
// LDS double buffer: tail
|
||||
{
|
||||
Float p_in_register_clipboard[blockwise_in_copy.GetRegisterClipboardSize()];
|
||||
Float p_wei_register_clipboard[blockwise_wei_copy.GetRegisterClipboardSize()];
|
||||
|
||||
// even iteration
|
||||
p_in_block_on_global += CPerBlock * in_n_c_h_w_global_desc.GetStride(I1);
|
||||
p_wei_block_on_global += CPerBlock * wei_c_y_x_k_global_desc.GetStride(I0);
|
||||
|
||||
__syncthreads();
|
||||
|
||||
// LDS doubel buffer: load next data from device mem
|
||||
blockwise_in_copy.RunLoadRegisterClipboard(p_in_block_on_global,
|
||||
p_in_register_clipboard);
|
||||
blockwise_wei_copy.RunLoadRegisterClipboard(p_wei_block_on_global,
|
||||
p_wei_register_clipboard);
|
||||
|
||||
// LDS double buffer: GEMM on current data
|
||||
run_blockwise_gemm(p_wei_block_double, p_in_block_double, p_out_thread);
|
||||
|
||||
// LDS double buffer: store next data to LDS
|
||||
blockwise_in_copy.RunStoreRegisterClipboard(p_in_register_clipboard,
|
||||
p_in_block_double + in_block_space);
|
||||
blockwise_wei_copy.RunStoreRegisterClipboard(
|
||||
p_wei_register_clipboard, p_wei_block_double + wei_block_space);
|
||||
|
||||
// odd iteration
|
||||
__syncthreads();
|
||||
|
||||
// LDS double buffer: GEMM on current data
|
||||
run_blockwise_gemm(p_wei_block_double + wei_block_space,
|
||||
p_in_block_double + in_block_space,
|
||||
p_out_thread);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// copy output: register to global memory
|
||||
{
|
||||
constexpr index_t K2 = GemmMPerThreadSubC;
|
||||
constexpr index_t K1 = GemmMLevel0Cluster * GemmMLevel1Cluster;
|
||||
constexpr index_t K0 = K / (K1 * K2);
|
||||
|
||||
// define tensor descriptor for threadwise copy
|
||||
// output memory layout descriptor in register
|
||||
constexpr auto out_k0_k1_k2_n1_n0_h_w_n2_thread_mem_desc =
|
||||
make_ConstantTensorDescriptor_default_rank_packed(
|
||||
Sequence<KPerBlock / (K1 * K2), 1, K2, N1, 1, 1, 1, N2>{});
|
||||
|
||||
// output tensor descriptor in register, src of threadwise copy
|
||||
constexpr auto out_n0_n1_n2_k0_k1_k2_h_w_thread_desc =
|
||||
out_k0_k1_k2_n1_n0_h_w_n2_thread_mem_desc.ReorderGivenNew2Old(
|
||||
Sequence<4, 3, 7, 0, 1, 2, 5, 6>{});
|
||||
|
||||
// output memory layout descriptor in device memory, dst of threadwise copy
|
||||
constexpr auto out_n0_n1_n2_k0_k1_k2_h_w_global_mem_desc =
|
||||
out_n_k_h_w_global_desc.Fold(I1, Number<K1>{}, Number<K2>{})
|
||||
.Fold(I0, Number<N1>{}, Number<N2>{});
|
||||
|
||||
// calculate origin of thread output 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 k_thread_data_on_global =
|
||||
k_block_data_on_global + c_thread_mtx_on_block.row;
|
||||
|
||||
const index_t b_thread_data_on_global =
|
||||
b_block_data_on_global + c_thread_mtx_on_block.col / N2;
|
||||
|
||||
// output merged global tensor descriptor, for calculating origin of thread tensor
|
||||
// in global memory
|
||||
constexpr auto out_k_n1_b_n2_global_merged_desc = make_ConstantMergedTensorDescriptor(
|
||||
out_n0_n1_n2_k0_k1_k2_h_w_global_mem_desc.Unfold(I3, I5),
|
||||
Sequence<3>{},
|
||||
Sequence<1>{},
|
||||
Sequence<0, 4, 5>{},
|
||||
Sequence<2>{});
|
||||
|
||||
// origin of dst in device memory
|
||||
Float* p_out_thread_on_global =
|
||||
p_out_global +
|
||||
out_k_n1_b_n2_global_merged_desc.GetOffsetFromMultiIndex(
|
||||
k_thread_data_on_global, 0, b_thread_data_on_global, 0);
|
||||
|
||||
threadwise_generic_tensor_slice_copy(out_n0_n1_n2_k0_k1_k2_h_w_thread_desc,
|
||||
p_out_thread,
|
||||
{0, 0, 0, 0, 0, 0, 0, 0},
|
||||
out_n0_n1_n2_k0_k1_k2_h_w_global_mem_desc,
|
||||
p_out_thread_on_global,
|
||||
{0, 0, 0, 0, 0, 0, 0, 0},
|
||||
out_n0_n1_n2_k0_k1_k2_h_w_thread_desc.GetLengths(),
|
||||
arithmetic_sequence_gen<0, 8, 1>::SeqType{});
|
||||
}
|
||||
}
|
||||
};
|
||||
Reference in New Issue
Block a user