inference-engine/thirdparty/mkl-dnn/src/cpu/ref_inner_product.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_INNER_PRODUCT_HPP
  18 #define CPU_REF_INNER_PRODUCT_HPP
  19
  20 #include <assert.h>
  21
  22 #include "c_types_map.hpp"
  23 #include "cpu_inner_product_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 src_type, impl::data_type_t wei_type = src_type,
  33          impl::data_type_t dst_type = src_type,
  34          impl::data_type_t acc_type = dst_type>
  35 struct ref_inner_product_fwd_t: public cpu_primitive_t {
  36     struct pd_t: public cpu_inner_product_fwd_pd_t {
  37         pd_t(engine_t *engine, const inner_product_desc_t *adesc,
  38                 const primitive_attr_t *attr,
  39                 const inner_product_fwd_pd_t *hint_fwd_pd)
  40             : cpu_inner_product_fwd_pd_t(engine, adesc, attr, hint_fwd_pd) {}
  41
  42         DECLARE_COMMON_PD_T("ref:any", ref_inner_product_fwd_t);
  43
  44         virtual status_t init() override {
  45             using namespace prop_kind;
  46             using namespace data_type;
  47             assert(engine()->kind() == engine_kind::cpu);
  48             bool ok = true
  49                 && this->set_default_params() == status::success
  50                 && utils::one_of(desc()->prop_kind, forward_training,
  51                         forward_inference)
  52                 && desc()->src_desc.data_type == src_type
  53                 && desc()->weights_desc.data_type == wei_type
  54                 && desc()->accum_data_type == acc_type
  55                 && desc()->dst_desc.data_type == dst_type
  56                 && IMPLICATION(with_bias(),
  57                             utils::one_of(desc()->bias_desc.data_type,
  58                                 f32, s32, s8, u8))
  59                 && attr()->output_scales_.has_default_values()
  60                 && attr()->post_ops_.len_ <= 1
  61                 && IMPLICATION(attr()->post_ops_.len_ == 1,
  62                         attr()->post_ops_.entry_[0].is_relu(true, false));
  63             return ok ? status::success : status::unimplemented;
  64         }
  65     };
  66
  67     ref_inner_product_fwd_t(const pd_t *apd, const input_vector &inputs,
  68             const output_vector &outputs)
  69         : cpu_primitive_t(apd, inputs, outputs) {}
  70
  71     typedef typename prec_traits<src_type>::type src_data_t;
  72     typedef typename prec_traits<wei_type>::type wei_data_t;
  73     typedef typename prec_traits<dst_type>::type dst_data_t;
  74     typedef typename prec_traits<acc_type>::type acc_data_t;
  75
  76     virtual void execute(event_t *e) const {
  77         switch (pd()->desc()->prop_kind) {
  78         case prop_kind::forward_training:
  79         case prop_kind::forward_inference:
  80             execute_forward();
  81             break;
  82         default:
  83             assert(!"invalid prop_kind");
  84         }
  85         e->set_state(event_t::ready);
  86     }
  87
  88 private:
  89     void execute_forward() const;
  90     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
  91 };
  92
  93 template <impl::data_type_t diff_src_type, impl::data_type_t wei_type,
  94          impl::data_type_t diff_dst_type,
  95          impl::data_type_t acc_type = diff_src_type>
  96 struct ref_inner_product_bwd_data_t: public cpu_primitive_t {
  97     struct pd_t: public cpu_inner_product_bwd_data_pd_t {
  98         pd_t(engine_t *engine, const inner_product_desc_t *adesc,
  99                 const primitive_attr_t *attr,
 100                 const inner_product_fwd_pd_t *hint_fwd_pd)
 101             : cpu_inner_product_bwd_data_pd_t(engine, adesc, attr, hint_fwd_pd)
 102         {}
 103
 104         DECLARE_COMMON_PD_T("ref:any", ref_inner_product_bwd_data_t);
 105
 106         virtual status_t init() override {
 107             using namespace prop_kind;
 108             assert(engine()->kind() == engine_kind::cpu);
 109             bool ok = true
 110                 && this->set_default_params() == status::success
 111                 && utils::one_of(this->desc()->prop_kind, backward,
 112                         backward_data)
 113                 && desc()->diff_src_desc.data_type == diff_src_type
 114                 && desc()->weights_desc.data_type == wei_type
 115                 && desc()->accum_data_type == acc_type
 116                 && desc()->diff_dst_desc.data_type == diff_dst_type
 117                 && attr()->has_default_values();
 118             return ok ? status::success : status::unimplemented;
 119         }
 120     };
 121
 122     ref_inner_product_bwd_data_t(const pd_t *apd, const input_vector &inputs,
 123             const output_vector &outputs)
 124         : cpu_primitive_t(apd, inputs, outputs) {}
 125
 126     typedef typename prec_traits<diff_src_type>::type diff_src_data_t;
 127     typedef typename prec_traits<wei_type>::type wei_data_t;
 128     typedef typename prec_traits<diff_dst_type>::type diff_dst_data_t;
 129     typedef typename prec_traits<acc_type>::type acc_data_t;
 130
 131     virtual void execute(event_t *e) const {
 132         switch (pd()->desc()->prop_kind) {
 133         case prop_kind::backward:
 134         case prop_kind::backward_data:
 135             execute_backward_data();
 136             break;
 137         default:
 138             assert(!"invalid prop_kind");
 139         }
 140         e->set_state(event_t::ready);
 141     }
 142
 143 private:
 144     void execute_backward_data() const;
 145     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 146 };
 147
 148 template <impl::data_type_t data_type>
 149 struct ref_inner_product_bwd_weights_t: public cpu_primitive_t {
 150     struct pd_t: public cpu_inner_product_bwd_weights_pd_t {
 151         pd_t(engine_t *engine, const inner_product_desc_t *adesc,
 152                 const primitive_attr_t *attr,
 153                 const inner_product_fwd_pd_t *hint_fwd_pd)
 154             : cpu_inner_product_bwd_weights_pd_t(engine, adesc, attr,
 155                     hint_fwd_pd) {}
 156
 157         DECLARE_COMMON_PD_T("ref:any", ref_inner_product_bwd_weights_t);
 158
 159         virtual status_t init() override {
 160             using namespace prop_kind;
 161             assert(engine()->kind() == engine_kind::cpu);
 162             bool ok = true
 163                 && this->set_default_params() == status::success
 164                 && utils::one_of(this->desc()->prop_kind, backward,
 165                         backward_weights)
 166                 && utils::everyone_is(data_type,
 167                         this->desc()->src_desc.data_type,
 168                         this->desc()->diff_dst_desc.data_type,
 169                         this->desc()->diff_weights_desc.data_type)
 170                 && IMPLICATION(this->with_bias(),
 171                         data_type == this->desc()->diff_bias_desc.data_type)
 172                 && attr()->has_default_values();
 173             return ok ? status::success : status::unimplemented;
 174         }
 175     };
 176
 177     ref_inner_product_bwd_weights_t(const pd_t *apd, const input_vector &inputs,
 178             const output_vector &outputs)
 179         : cpu_primitive_t(apd, inputs, outputs) {}
 180     typedef typename prec_traits<data_type>::type data_t;
 181
 182     virtual void execute(event_t *e) const {
 183         switch (pd()->desc()->prop_kind) {
 184         case prop_kind::backward:
 185         case prop_kind::backward_weights:
 186             execute_backward_weights();
 187             break;
 188         default:
 189             assert(!"invalid prop_kind");
 190         }
 191         e->set_state(event_t::ready);
 192     }
 193
 194 private:
 195     void execute_backward_weights() const;
 196     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 197 };
 198
 199 }
 200 }
 201 }
 202
 203 #endif
 204
 205 // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s