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

   1 /*******************************************************************************
   2 * Copyright 2019 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_BINARIZATION_HPP
  18 #define CPU_REF_BINARIZATION_HPP
  19
  20 #include <assert.h>
  21
  22 #include "cpu_binarization_pd.hpp"
  23 #include "cpu_engine.hpp"
  24 #include "type_helpers.hpp"
  25 #include "utils.hpp"
  26 #include "c_types_map.hpp"
  27
  28 namespace mkldnn {
  29 namespace impl {
  30 namespace cpu {
  31
  32 template <impl::data_type_t src_type>
  33 struct ref_binarization_fwd_t: public cpu_primitive_t {
  34     struct pd_t: public cpu_binarization_fwd_pd_t {
  35         pd_t(engine_t *engine, const binarization_desc_t *adesc,
  36                 const primitive_attr_t *attr,
  37                 const binarization_fwd_pd_t *hint_fwd_pd)
  38             : cpu_binarization_fwd_pd_t(engine, adesc, attr, hint_fwd_pd) {}
  39
  40         DECLARE_COMMON_PD_T("ref:any", ref_binarization_fwd_t);
  41
  42         virtual status_t init() override {
  43             using namespace prop_kind;
  44             assert(engine()->kind() == engine_kind::cpu);
  45
  46             bool ok = true
  47                 && utils::one_of(desc()->prop_kind, forward_training, forward_inference)
  48                 && utils::everyone_is(src_type, desc()->src_desc.data_type, desc()->weights_desc.data_type,
  49                         desc()->output_mask_desc.data_type)
  50                 && utils::everyone_is(data_type::bin, desc()->dst_desc.data_type)
  51                 && utils::one_of(desc()->alg_kind, mkldnn_binarization_depthwise)
  52                 && attr()->has_default_values();
  53             if (!ok) return status::unimplemented;
  54
  55             return status::success;
  56         }
  57     };
  58
  59     ref_binarization_fwd_t(const pd_t *apd, const input_vector &inputs,
  60             const output_vector &outputs)
  61         : cpu_primitive_t(apd, inputs, outputs) {}
  62
  63     typedef typename prec_traits<src_type>::type src_data_t;
  64
  65     virtual void execute(event_t *e) const {
  66         execute_forward();
  67         e->set_state(event_t::ready);
  68     }
  69
  70 private:
  71     void execute_forward() const;
  72     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
  73 };
  74
  75 }
  76 }
  77 }
  78
  79 #endif