text: /*******************************************************************************
  * 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 <mkldnn_types.h>
  #include "mkldnn.h"
  
  #include "c_types_map.hpp"
  #include "type_helpers.hpp"
  #include "utils.hpp"
  
  using namespace mkldnn::impl;
  using namespace mkldnn::impl::utils;
  using namespace mkldnn::impl::status;
  using namespace mkldnn::impl::prop_kind;
  using namespace mkldnn::impl::alg_kind;
  using namespace mkldnn::impl::types;
  
  namespace {
  status_t depthwise_desc_init(depthwise_desc_t *depthwise_desc, prop_kind_t prop_kind,
          alg_kind_t alg_kind, const memory_desc_t *src_desc, const memory_desc_t *dst_desc,
          const memory_desc_t *weights_desc, const memory_desc_t *bias_desc) {
      bool args_ok = true
          && !any_null(depthwise_desc, src_desc, dst_desc)
          && one_of(prop_kind, forward_training, forward_inference)
          && one_of(alg_kind, depthwise_scale_shift, depthwise_prelu);
      if (!args_ok) return invalid_arguments;
  
      auto dd = depthwise_desc_t();
      dd.primitive_kind = primitive_kind::depthwise;
      dd.prop_kind = prop_kind;
      dd.alg_kind = alg_kind;
      dd.src_desc = *src_desc;
      dd.dst_desc = *dst_desc;
      dd.weights_desc = *weights_desc;
  
      const bool with_bias = bias_desc && bias_desc->format != memory_format::undef;
      dd.bias_desc = with_bias ? *bias_desc : zero_md();
  
      bool consistency = true
          && memory_desc_wrapper(dd.src_desc).nelems()
          && memory_desc_wrapper(dd.dst_desc).nelems();
      if (!consistency) return invalid_arguments;
  
      *depthwise_desc = dd;
      return success;
  }
  }
  
  status_t mkldnn_depthwise_forward_desc_init(depthwise_desc_t *depthwise_desc,
          prop_kind_t prop_kind, alg_kind_t alg_kind,
          const memory_desc_t *src_desc, const memory_desc_t *dst_desc, const memory_desc_t *weights_desc,
          const memory_desc_t *bias_desc) {
      if (!one_of(prop_kind, forward_training, forward_inference))
          return invalid_arguments;
      return depthwise_desc_init(depthwise_desc, prop_kind, alg_kind, src_desc, dst_desc,
                                 weights_desc, bias_desc);
  }
  
  status_t mkldnn_depthwise_forward_desc_init(depthwise_desc_t *depthwise_desc,
          prop_kind_t prop_kind, alg_kind_t alg_kind,
          const memory_desc_t *src_desc, const memory_desc_t *dst_desc, const memory_desc_t *weights_desc) {
      if (!one_of(prop_kind, forward_training, forward_inference))
          return invalid_arguments;
      return depthwise_desc_init(depthwise_desc, prop_kind, alg_kind, src_desc, dst_desc,
                                 weights_desc, nullptr);
  }
  