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-rw-r--r--thirdparty/oidn/mkl-dnn/src/cpu/simple_concat.cpp126
1 files changed, 0 insertions, 126 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/cpu/simple_concat.cpp b/thirdparty/oidn/mkl-dnn/src/cpu/simple_concat.cpp
deleted file mode 100644
index 0420f87aa5..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/cpu/simple_concat.cpp
+++ /dev/null
@@ -1,126 +0,0 @@
-/*******************************************************************************
-* Copyright 2017-2018 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 "mkldnn_thread.hpp"
-
-#include "simple_concat.hpp"
-
-namespace mkldnn {
-namespace impl {
-namespace cpu {
-
-using namespace memory_tracking::names;
-
-template <data_type_t data_type>
-status_t simple_concat_t<data_type>::execute(const exec_ctx_t &ctx) const {
- auto scratchpad = this->scratchpad(ctx);
- auto iptrs = scratchpad.template get<const data_t *>(key_concat_iptrs);
- auto optrs = scratchpad.template get<data_t *>(key_concat_optrs);
- auto nelems_to_copy = scratchpad.template get<dim_t>(key_concat_nelems);
- auto is = scratchpad.template get<strides_t>(key_concat_istrides);
-
- const int num_arrs = pd()->n_inputs();
- const int *perm = pd()->perm_, *iperm = pd()->iperm_;
- const int concat_dim = pd()->concat_dim();
- auto o_base_ptr = CTX_OUT_MEM(data_t *, MKLDNN_ARG_DST);
-
- for (int a = 0; a < num_arrs; ++a) {
- const memory_desc_wrapper i_d(pd()->src_md(a));
- const memory_desc_wrapper o_d(pd()->src_image_md(a));
-
- iptrs[a] = CTX_IN_MEM(const data_t *, MKLDNN_ARG_MULTIPLE_SRC + a)
- + i_d.blk_off(0);
- optrs[a] = o_base_ptr + o_d.blk_off(0);
- nelems_to_copy[a] = pd()->nelems_to_concat(i_d);
- for (int i = 0; i < MKLDNN_MAX_NDIMS; i++) {
- if (i < perm[concat_dim])
- is[a][i] = size_t(i_d.blocking_desc().strides[iperm[i]]);
- else
- is[a][i] = 0;
- }
- }
-
- const memory_desc_wrapper o_d(pd()->src_image_md(0));
-
- strides_t os = { 0 };
- for (int i = 0; i < perm[concat_dim]; i++)
- os[i] = o_d.blocking_desc().strides[iperm[i]];
-
- dims_t phys_dims;
- for (size_t i = 0; i < sizeof(phys_dims)/sizeof(phys_dims[0]); i++)
- phys_dims[i] = (i < (size_t)perm[concat_dim])
- ? o_d.dims()[iperm[i]] / pd()->blocks_[iperm[i]] : 1;
-
- if (perm[concat_dim] == 0) {
- for (int a = 0; a < num_arrs; ++a) {
- const data_t *i = &iptrs[a][0];
- data_t *o = &optrs[a][0];
- parallel_nd((ptrdiff_t)nelems_to_copy[a],
- [&](ptrdiff_t e) { o[e] = i[e]; });
- }
- } else {
- parallel_nd(phys_dims[0], phys_dims[1], phys_dims[2], phys_dims[3],
- phys_dims[4], num_arrs,
- [&](dim_t n0, dim_t n1, dim_t n2, dim_t n3, dim_t n4, int a) {
- // XXX: this code may access uninitialized values in is[*][0-4] --
- // that's why we have to set them to zero although this is
- // probably benign
- size_t in_off = is[a][0] * n0 + is[a][1] * n1 + is[a][2] * n2
- + is[a][3] * n3 + is[a][4] * n4;
- size_t out_off = os[0] * n0 + os[1] * n1 + os[2] * n2
- + os[3] * n3 + os[4] * n4;
- const data_t *i = &iptrs[a][in_off];
- data_t *o = &optrs[a][out_off];
-#if defined(__GNUC__) && !defined(__INTEL_COMPILER)
- // The code below performs data copying: o[e] = i[e]
- // and uses a workaround to make GNU compilers optimize it
- uint8_t *ptro = reinterpret_cast<uint8_t *>(o);
- const uint8_t *ptri = reinterpret_cast<const uint8_t *>(i);
- const dim_t main_part =
- nelems_to_copy[a] * sizeof(data_t) / sizeof(uint32_t);
- const dim_t tail_part =
- nelems_to_copy[a] % sizeof(data_t) / sizeof(uint32_t);
-
- PRAGMA_OMP_SIMD()
- for (dim_t e = 0; e < main_part; ++e) {
- *(reinterpret_cast<uint32_t *>(ptro))
- = *(reinterpret_cast<const uint32_t *>(ptri));
- ptro += sizeof(uint32_t);
- ptri += sizeof(uint32_t);
- }
- for (dim_t e = 0; e < tail_part; ++e) {
- *ptro = *ptri;
- ++ptro;
- ++ptri;
- }
-#else
- PRAGMA_OMP_SIMD()
- for (dim_t e = 0; e < nelems_to_copy[a]; ++e) o[e] = i[e];
-#endif
- });
- }
-
- return status::success;
-}
-
-template struct simple_concat_t<data_type::f32>;
-template struct simple_concat_t<data_type::u8>;
-template struct simple_concat_t<data_type::s8>;
-template struct simple_concat_t<data_type::s32>;
-
-}
-}
-}