inference-engine/thirdparty/mkl-dnn/src/cpu/ref_lrn.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_LRN_FWD_HPP
  18 #define CPU_REF_LRN_FWD_HPP
  19
  20 #include <assert.h>
  21
  22 #include "c_types_map.hpp"
  23 #include "cpu_lrn_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>
  33 struct ref_lrn_fwd_t: public cpu_primitive_t {
  34     struct pd_t: public cpu_lrn_fwd_pd_t {
  35         pd_t(engine_t *engine, const lrn_desc_t *adesc,
  36                 const primitive_attr_t *attr, const lrn_fwd_pd_t *hint_fwd_pd)
  37             : cpu_lrn_fwd_pd_t(engine, adesc, attr, hint_fwd_pd) {}
  38
  39         DECLARE_COMMON_PD_T("ref:any", ref_lrn_fwd_t);
  40
  41         virtual status_t init() override {
  42             using namespace prop_kind;
  43             using namespace alg_kind;
  44             assert(engine()->kind() == engine_kind::cpu);
  45             bool ok = true
  46                 && utils::one_of(desc()->prop_kind, forward_training,
  47                         forward_inference)
  48                 && utils::one_of(desc()->alg_kind, lrn_across_channels,
  49                         lrn_within_channel)
  50                 && utils::everyone_is(data_type, desc()->data_desc.data_type)
  51                 && attr()->has_default_values();
  52             if (!ok) return status::unimplemented;
  53
  54             if (desc_.prop_kind == forward_training) { ws_pd_ = data_pd_; }
  55
  56             return status::success;
  57         }
  58     };
  59
  60     ref_lrn_fwd_t(const pd_t *apd, const input_vector &inputs,
  61             const output_vector &outputs)
  62         : cpu_primitive_t(apd, inputs, outputs) {}
  63     typedef typename prec_traits<data_type>::type data_t;
  64
  65     virtual void execute(event_t *e) const {
  66         using namespace memory_format;
  67         switch (pd()->src_pd()->desc()->format) {
  68         case nChw16c: execute_forward<nChw16c>(); break;
  69         case nChw8c: execute_forward<nChw8c>(); break;
  70         case nchw: execute_forward<nchw>(); break;
  71         case nhwc: execute_forward<nhwc>(); break;
  72         // XXX: fix compatibility with 0.14
  73         // mkldnn_any is used to call ref code for arbitrary format
  74         default: execute_forward<mkldnn_any>();
  75         }
  76         e->set_state(event_t::ready);
  77     }
  78
  79 private:
  80     template<memory_format_t fmt>void execute_forward() const;
  81     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
  82 };
  83
  84 template <impl::data_type_t data_type>
  85 struct ref_lrn_bwd_t: public cpu_primitive_t {
  86     struct pd_t: public cpu_lrn_bwd_pd_t {
  87         pd_t(engine_t *engine, const lrn_desc_t *adesc,
  88                 const primitive_attr_t *attr, const lrn_fwd_pd_t *hint_fwd_pd)
  89             : cpu_lrn_bwd_pd_t(engine, adesc, attr, hint_fwd_pd) {}
  90
  91         DECLARE_COMMON_PD_T("ref:any", ref_lrn_bwd_t);
  92
  93         virtual status_t init() override {
  94             using namespace prop_kind;
  95             using namespace alg_kind;
  96             assert(engine()->kind() == engine_kind::cpu);
  97             bool ok = true
  98                 && utils::one_of(desc()->prop_kind, backward_data)
  99                 && utils::one_of(desc()->alg_kind, lrn_across_channels
 100                         /*, lrn_within_channel */) // not supported yet
 101                 && utils::everyone_is(data_type, desc()->data_desc.data_type)
 102                 && attr()->has_default_values();
 103             if (!ok) return status::unimplemented;
 104
 105             return status::success;
 106         }
 107     };
 108
 109     ref_lrn_bwd_t(const pd_t *apd, const input_vector &inputs,
 110             const output_vector &outputs)
 111         : cpu_primitive_t(apd, inputs, outputs) {}
 112     typedef typename prec_traits<data_type>::type data_t;
 113
 114     virtual void execute(event_t *e) const {
 115         using namespace memory_format;
 116         switch (pd()->src_pd()->desc()->format) {
 117         case nChw16c: execute_backward<nChw16c>(); break;
 118         case nChw8c: execute_backward<nChw8c>(); break;
 119         case nchw: execute_backward<nchw>(); break;
 120         case nhwc: execute_backward<nhwc>(); break;
 121         // XXX: fix compatibility with 0.14
 122         // mkldnn_any is used to call ref code for arbitrary format
 123         default: execute_backward<mkldnn_any>();
 124         }
 125         e->set_state(event_t::ready);
 126     }
 127
 128 private:
 129     template<memory_format_t fmt>void execute_backward() const;
 130     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 131 };
 132
 133 }
 134 }
 135 }
 136
 137 #endif
 138
 139 // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s