inference-engine/thirdparty/mkl-dnn/src/common/eltwise.cpp

   1 /*******************************************************************************
   2 * Copyright 2016-2018 Intel Corporation
   3 *
   4 * Licensed under the Apache License, Version 2.0 (the "License");
   5 * you may not use this file except in compliance with the License.
   6 * You may obtain a copy of the License at
   7 *
   8 *     http://www.apache.org/licenses/LICENSE-2.0
   9 *
  10 * Unless required by applicable law or agreed to in writing, software
  11 * distributed under the License is distributed on an "AS IS" BASIS,
  12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 * See the License for the specific language governing permissions and
  14 * limitations under the License.
  15 *******************************************************************************/
  16
  17 #include <assert.h>
  18 #include "mkldnn.h"
  19
  20 #include "c_types_map.hpp"
  21 #include "type_helpers.hpp"
  22 #include "utils.hpp"
  23
  24 using namespace mkldnn::impl;
  25 using namespace mkldnn::impl::utils;
  26 using namespace mkldnn::impl::status;
  27 using namespace mkldnn::impl::prop_kind;
  28 using namespace mkldnn::impl::alg_kind;
  29 using namespace mkldnn::impl::types;
  30
  31 namespace {
  32 status_t eltwise_desc_init(eltwise_desc_t *eltwise_desc, prop_kind_t prop_kind,
  33         alg_kind_t alg_kind, const memory_desc_t *data_desc,
  34         const memory_desc_t *diff_data_desc, float alpha, float beta) {
  35     bool args_ok = true
  36         && !any_null(eltwise_desc, data_desc)
  37         && one_of(prop_kind, forward_training, forward_inference,
  38                 backward_data)
  39         && one_of(alg_kind, eltwise_relu, eltwise_tanh, eltwise_elu,
  40                   eltwise_square, eltwise_abs, eltwise_sqrt, eltwise_linear,
  41                   eltwise_bounded_relu, eltwise_soft_relu, eltwise_logistic,
  42                   eltwise_clamp, eltwise_exp, eltwise_not)
  43         && IMPLICATION(prop_kind == backward_data, diff_data_desc != nullptr);
  44     if (!args_ok) return invalid_arguments;
  45
  46     auto ed = eltwise_desc_t();
  47     ed.primitive_kind = primitive_kind::eltwise;
  48     ed.prop_kind = prop_kind;
  49     ed.alg_kind = alg_kind;
  50
  51     ed.data_desc = *data_desc;
  52     ed.diff_data_desc =
  53         (ed.prop_kind == backward_data) ? *diff_data_desc : zero_md();
  54
  55     ed.alpha = alpha;
  56     ed.beta = beta;
  57
  58     bool consistency = true
  59         && IMPLICATION(ed.prop_kind == backward_data,
  60                 array_cmp(ed.diff_data_desc.dims, ed.data_desc.dims,
  61                     ed.diff_data_desc.ndims));
  62     if (!consistency) return invalid_arguments;
  63
  64     *eltwise_desc = ed;
  65     return success;
  66 }
  67 }
  68
  69 status_t mkldnn_eltwise_forward_desc_init(eltwise_desc_t *eltwise_desc,
  70         prop_kind_t prop_kind, alg_kind_t alg_kind,
  71         const memory_desc_t *data_desc, float alpha, float beta) {
  72     if (!one_of(prop_kind, forward_training, forward_inference))
  73         return invalid_arguments;
  74     return eltwise_desc_init(eltwise_desc, prop_kind, alg_kind, data_desc,
  75             nullptr, alpha, beta);
  76 }
  77
  78 status_t mkldnn_eltwise_backward_desc_init(eltwise_desc_t *eltwise_desc,
  79         alg_kind_t alg_kind, const memory_desc_t *diff_data_desc,
  80         const memory_desc_t *data_desc, float alpha, float beta) {
  81     return eltwise_desc_init(eltwise_desc, backward_data, alg_kind, data_desc,
  82             diff_data_desc, alpha, beta);
  83 }
  84
  85 // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s