inference-engine/thirdparty/mkl-dnn/src/cpu/ref_pooling.hpp

   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 #ifndef CPU_REF_POOLING_HPP
  18 #define CPU_REF_POOLING_HPP
  19
  20 #include <assert.h>
  21
  22 #include "c_types_map.hpp"
  23 #include "cpu_pooling_pd.hpp"
  24 #include "cpu_engine.hpp"
  25 #include "type_helpers.hpp"
  26 #include "utils.hpp"
  27
  28 namespace mkldnn {
  29 namespace impl {
  30 namespace cpu {
  31
  32 template <impl::data_type_t data_type, impl::data_type_t acc_type = data_type>
  33 struct ref_pooling_fwd_t: public cpu_primitive_t {
  34     struct pd_t: public cpu_pooling_fwd_pd_t {
  35         pd_t(engine_t *engine, const pooling_desc_t *adesc,
  36                 const primitive_attr_t *attr,
  37                 const pooling_fwd_pd_t *hint_fwd_pd)
  38             : cpu_pooling_fwd_pd_t(engine, adesc, attr, hint_fwd_pd) {}
  39
  40         DECLARE_COMMON_PD_T("ref:any", ref_pooling_fwd_t);
  41
  42         virtual status_t init() override {
  43             using namespace prop_kind;
  44             using namespace alg_kind;
  45             assert(engine()->kind() == engine_kind::cpu);
  46             bool ok = true
  47                 && set_default_params() == status::success
  48                 && utils::one_of(desc()->prop_kind, forward_training,
  49                         forward_inference)
  50                 && utils::one_of(desc()->alg_kind, pooling_max,
  51                         pooling_avg_include_padding,
  52                         pooling_avg_exclude_padding)
  53                 && utils::everyone_is(data_type, src_pd()->desc()->data_type,
  54                         dst_pd()->desc()->data_type)
  55                 && desc()->accum_data_type == acc_type
  56                 && attr()->has_default_values();
  57             if (!ok) return status::unimplemented;
  58
  59             bool is_training = desc_.prop_kind == forward_training;
  60             if (desc()->alg_kind == pooling_max && is_training) {
  61                 auto indices_desc = *dst_pd()->desc();
  62                 indices_desc.data_type = pooling_index_data_type(desc());
  63                 ws_pd_ = cpu_memory_t::pd_t(engine_, &indices_desc);
  64             }
  65
  66             return status::success;
  67         }
  68     };
  69
  70     ref_pooling_fwd_t(const pd_t *apd, const input_vector &inputs,
  71             const output_vector &outputs)
  72         : cpu_primitive_t(apd, inputs, outputs) {}
  73
  74     typedef typename prec_traits<data_type>::type data_t;
  75     typedef typename prec_traits<acc_type>::type acc_data_t;
  76
  77     virtual void execute(event_t *e) const {
  78         execute_forward();
  79         e->set_state(event_t::ready);
  80     }
  81
  82 private:
  83     void execute_forward() const;
  84     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
  85 };
  86
  87 template <impl::data_type_t data_type, impl::data_type_t acc_type = data_type>
  88 struct ref_pooling_bwd_t: public cpu_primitive_t {
  89     struct pd_t: public cpu_pooling_bwd_pd_t {
  90         pd_t(engine_t *engine, const pooling_desc_t *adesc,
  91                 const primitive_attr_t *attr,
  92                 const pooling_fwd_pd_t *hint_fwd_pd)
  93             : cpu_pooling_bwd_pd_t(engine, adesc, attr, hint_fwd_pd) {}
  94
  95         DECLARE_COMMON_PD_T("ref:any", ref_pooling_bwd_t);
  96
  97         virtual status_t init() override {
  98             using namespace prop_kind;
  99             using namespace alg_kind;
 100             assert(engine()->kind() == engine_kind::cpu);
 101             bool ok = true
 102                 && set_default_params() == status::success
 103                 && utils::one_of(desc()->prop_kind, backward_data)
 104                 && utils::one_of(desc()->alg_kind, pooling_max,
 105                         pooling_avg_include_padding,
 106                         pooling_avg_exclude_padding)
 107                 && utils::everyone_is(data_type, diff_dst_pd()->desc()->data_type,
 108                         diff_src_pd()->desc()->data_type)
 109                 && IMPLICATION(desc()->alg_kind == pooling_max,
 110                         hint_fwd_pd_ && hint_fwd_pd_->workspace_pd()
 111                         && hint_fwd_pd_->workspace_pd()->engine()->kind()
 112                                 == engine_kind::cpu)
 113                 && attr()->has_default_values();
 114             if (!ok) return status::unimplemented;
 115
 116             if (desc()->alg_kind == pooling_max)
 117                 ws_pd_ = *(cpu_memory_t::pd_t*)hint_fwd_pd_->workspace_pd();
 118
 119             return status::success;
 120         }
 121     };
 122
 123     ref_pooling_bwd_t(const pd_t *apd, const input_vector &inputs,
 124             const output_vector &outputs)
 125         : cpu_primitive_t(apd, inputs, outputs) {}
 126     typedef typename prec_traits<data_type>::type data_t;
 127     typedef typename prec_traits<acc_type>::type acc_data_t;
 128
 129     virtual void execute(event_t *e) const {
 130         execute_backward();
 131         e->set_state(event_t::ready);
 132     }
 133
 134 private:
 135     void execute_backward() const;
 136     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 137 };
 138
 139 }
 140 }
 141 }
 142
 143 #endif
 144
 145 // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s