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

   1 /*******************************************************************************
   2 * Copyright 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_types.h>
  19 #include "mkldnn.h"
  20
  21 #include "c_types_map.hpp"
  22 #include "type_helpers.hpp"
  23 #include "utils.hpp"
  24
  25 using namespace mkldnn::impl;
  26 using namespace mkldnn::impl::utils;
  27 using namespace mkldnn::impl::status;
  28 using namespace mkldnn::impl::prop_kind;
  29 using namespace mkldnn::impl::alg_kind;
  30 using namespace mkldnn::impl::types;
  31
  32 namespace {
  33 status_t depthwise_desc_init(depthwise_desc_t *depthwise_desc, prop_kind_t prop_kind,
  34         alg_kind_t alg_kind, const memory_desc_t *src_desc, const memory_desc_t *dst_desc,
  35         const memory_desc_t *weights_desc, const memory_desc_t *bias_desc) {
  36     bool args_ok = true
  37         && !any_null(depthwise_desc, src_desc, dst_desc)
  38         && one_of(prop_kind, forward_training, forward_inference)
  39         && one_of(alg_kind, depthwise_scale_shift, depthwise_prelu);
  40     if (!args_ok) return invalid_arguments;
  41
  42     auto dd = depthwise_desc_t();
  43     dd.primitive_kind = primitive_kind::depthwise;
  44     dd.prop_kind = prop_kind;
  45     dd.alg_kind = alg_kind;
  46     dd.src_desc = *src_desc;
  47     dd.dst_desc = *dst_desc;
  48     dd.weights_desc = *weights_desc;
  49
  50     const bool with_bias = bias_desc && bias_desc->format != memory_format::undef;
  51     dd.bias_desc = with_bias ? *bias_desc : zero_md();
  52
  53     bool consistency = true
  54         && memory_desc_wrapper(dd.src_desc).nelems()
  55         && memory_desc_wrapper(dd.dst_desc).nelems();
  56     if (!consistency) return invalid_arguments;
  57
  58     *depthwise_desc = dd;
  59     return success;
  60 }
  61 }
  62
  63 status_t mkldnn_depthwise_forward_desc_init(depthwise_desc_t *depthwise_desc,
  64         prop_kind_t prop_kind, alg_kind_t alg_kind,
  65         const memory_desc_t *src_desc, const memory_desc_t *dst_desc, const memory_desc_t *weights_desc,
  66         const memory_desc_t *bias_desc) {
  67     if (!one_of(prop_kind, forward_training, forward_inference))
  68         return invalid_arguments;
  69     return depthwise_desc_init(depthwise_desc, prop_kind, alg_kind, src_desc, dst_desc,
  70                                weights_desc, bias_desc);
  71 }
  72
  73 status_t mkldnn_depthwise_forward_desc_init(depthwise_desc_t *depthwise_desc,
  74         prop_kind_t prop_kind, alg_kind_t alg_kind,
  75         const memory_desc_t *src_desc, const memory_desc_t *dst_desc, const memory_desc_t *weights_desc) {
  76     if (!one_of(prop_kind, forward_training, forward_inference))
  77         return invalid_arguments;
  78     return depthwise_desc_init(depthwise_desc, prop_kind, alg_kind, src_desc, dst_desc,
  79                                weights_desc, nullptr);
  80 }