diff options
Diffstat (limited to 'thirdparty/oidn/mkl-dnn/src/cpu/ref_shuffle.cpp')
| -rw-r--r-- | thirdparty/oidn/mkl-dnn/src/cpu/ref_shuffle.cpp | 153 |
1 files changed, 0 insertions, 153 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/ref_shuffle.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/ref_shuffle.cpp deleted file mode 100644 index af27743110..0000000000 --- a/thirdparty/oidn/mkl-dnn/src/cpu/ref_shuffle.cpp +++ /dev/null @@ -1,153 +0,0 @@ -/******************************************************************************* -* Copyright 2018 Intel Corporation -* -* Licensed under the Apache License, Version 2.0 (the "License"); -* you may not use this file except in compliance with the License. -* You may obtain a copy of the License at -* -* http://www.apache.org/licenses/LICENSE-2.0 -* -* Unless required by applicable law or agreed to in writing, software -* distributed under the License is distributed on an "AS IS" BASIS, -* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -* See the License for the specific language governing permissions and -* limitations under the License. -*******************************************************************************/ - -#include <assert.h> -#include <math.h> - -#include "c_types_map.hpp" -#include "mkldnn_thread.hpp" -#include "type_helpers.hpp" - -#include "ref_shuffle.hpp" - -namespace mkldnn { -namespace impl { -namespace cpu { - -using namespace format_tag; - -template <int data_type_size> -template <mkldnn_format_tag_t tag> -void ref_shuffle_t<data_type_size>::execute_(const exec_ctx_t &ctx) const { - using namespace prop_kind; - using namespace utils; - - const memory_desc_wrapper data_d(pd()->data_md()); - - auto i_arg = pd()->is_fwd() ? MKLDNN_ARG_SRC : MKLDNN_ARG_DIFF_DST; - auto o_arg = pd()->is_fwd() ? MKLDNN_ARG_DST : MKLDNN_ARG_DIFF_SRC; - auto input = CTX_IN_MEM(const data_t *, i_arg); - auto output = CTX_OUT_MEM(data_t *, o_arg); - - const int axis = pd()->axis(); - const int axis_size = pd()->axis_size(); - - const int MB = pd()->MB(); - const int C = pd()->C(); - int H = 1, W = 1, D = 1, HW = 1, SP = 1; - const bool has_spatial = utils::one_of(data_d.ndims(), 3, 4 ,5); - if (has_spatial) - { - D = pd()->D(); - H = pd()->H(); - W = pd()->W(); - HW = H * W; - SP = D * HW; - } - const size_t stride_mb = data_d.blocking_desc().strides[0]; - constexpr int blksize = one_of(tag, nChw16c, nCdhw16c) ? 16 : 8; - - if (axis == 1 && one_of(tag, nChw16c, nChw8c, nCdhw16c, nCdhw16c)) { -#if MKLDNN_THR == MKLDNN_THR_OMP -# pragma omp parallel for collapse(3) schedule(static) - for (int mb = 0; mb < MB; ++mb) - for (int cb = 0; cb < C; cb += blksize) - for (int sp = 0; sp < SP; ++sp) { - const size_t off = mb * stride_mb + sp * blksize; - const size_t output_off = off + cb * SP; - PRAGMA_OMP_SIMD() - for (int cc = 0; cc < nstl::min(blksize, C - cb); ++cc) - { - int input_c = rev_transposed_[cb + cc]; - const size_t input_off = off + input_c / blksize * SP * blksize - + input_c % blksize; - output[output_off + cc] = input[input_off]; - } - } -#else - parallel_nd(MB, utils::div_up(C, blksize), SP, [&](int mb, int c, - int sp) { - const size_t off = mb * stride_mb + sp * blksize; - const int cb = c * blksize; - const size_t output_off = off + cb * SP; - for (int cc = 0; cc < nstl::min(blksize, C - cb); ++cc) - { - int input_c = rev_transposed_[cb + cc]; - const size_t input_off = off + input_c / blksize * SP * blksize - + input_c % blksize; - output[output_off + cc] = input[input_off]; - } - }); -#endif - } else if (axis == 1 && one_of(tag, nhwc, ndhwc)) { - parallel_nd(MB, SP, [&](int mb, int sp) { - const size_t off = mb * stride_mb + sp * C; - PRAGMA_OMP_SIMD() - for (int c = 0; c < C; ++c) - output[off + c] = input[off + rev_transposed_[c]]; - }); - } else if (axis == 1 && one_of(tag, nchw, ncdhw)) { - parallel_nd(MB, C, [&](int mb, int c) { - const size_t output_off = mb * stride_mb + c * SP; - const size_t input_off = mb * stride_mb + rev_transposed_[c] * SP; - PRAGMA_OMP_SIMD() - for (int sp = 0; sp < SP; ++sp) { - output[output_off + sp] = input[input_off + sp]; - } - }); - } else { - auto dims = pd()->desc()->data_desc.dims; - auto ndims = pd()->desc()->data_desc.ndims; - const size_t outer_size = utils::array_product(dims, axis); - const size_t inner_size = utils::array_product(dims + axis + 1, - ndims - axis - 1); - const size_t dim = axis_size * inner_size; - - parallel_nd(outer_size, axis_size, inner_size, [&](size_t ou, int a, - size_t in) - { - const size_t off = ou * dim + in; - auto &o = output[data_d.off_l(off + a * inner_size)]; - o = input[data_d.off_l(off + rev_transposed_[a] * inner_size)]; - }); - } -} - -template void ref_shuffle_t<4>::execute_<nCdhw16c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<nChw16c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<nCdhw8c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<nChw8c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<ncdhw>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<nchw>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<ndhwc>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<nhwc>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<4>::execute_<any>(const exec_ctx_t &ctx) const; - -template void ref_shuffle_t<1>::execute_<nCdhw16c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<nChw16c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<nCdhw8c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<nChw8c>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<ncdhw>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<nchw>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<ndhwc>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<nhwc>(const exec_ctx_t &ctx) const; -template void ref_shuffle_t<1>::execute_<any>(const exec_ctx_t &ctx) const; - -} -} -} - -// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s |