inference-engine/thirdparty/mkl-dnn/src/cpu/gemm_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_GEMM_INNER_PRODUCT_HPP
  18 #define CPU_GEMM_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 #include "gemm/gemm.hpp"
  28 #include "gemm_inner_product_utils.hpp"
  29
  30 namespace mkldnn {
  31 namespace impl {
  32 namespace cpu {
  33
  34 template <impl::data_type_t data_type>
  35 struct gemm_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(GEMM_IMPL_STR, gemm_inner_product_fwd_t);
  43
  44         virtual status_t init() override {
  45             using namespace utils;
  46             assert(engine()->kind() == engine_kind::cpu);
  47
  48             bool ok = true
  49                 && this->set_default_params() == status::success
  50                 && one_of(desc()->prop_kind, prop_kind::forward_training,
  51                         prop_kind::forward_inference)
  52                 && !has_zero_dim_memory()
  53                 && everyone_is(data_type, desc()->src_desc.data_type,
  54                         desc()->weights_desc.data_type,
  55                         desc()->dst_desc.data_type)
  56                 && IMPLICATION(this->with_bias(),
  57                         data_type == desc()->bias_desc.data_type)
  58                 && attr()->post_ops_.len_ <= 1
  59                 && IMPLICATION(attr()->post_ops_.len_ == 1,
  60                         attr()->post_ops_.entry_[0].is_eltwise())
  61                 && dense_gemm_consitency_check(src_pd(), weights_pd(),
  62                         dst_pd());
  63             return ok ? status::success : status::unimplemented;
  64         }
  65     };
  66
  67     gemm_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         bool has_bias = pd()->with_bias(),
  71              has_eltwise = pd()->attr()->post_ops_.len_ == 1,
  72              has_scale = !pd()->attr()->output_scales_.has_default_values();
  73         postops_in_ip_ = has_bias || has_eltwise || has_scale;
  74         pp_kernel_ = new inner_product_utils::pp_kernel_t<data_type, data_type>(
  75                 apd);
  76     }
  77     ~gemm_inner_product_fwd_t() { delete pp_kernel_; }
  78
  79     typedef typename prec_traits<data_type>::type data_t;
  80
  81     virtual void execute(event_t *e) const {
  82         execute_forward();
  83         e->set_state(event_t::ready);
  84     }
  85
  86 private:
  87     void execute_forward() const;
  88     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
  89
  90     inner_product_utils::pp_kernel_t<data_type, data_type> *pp_kernel_;
  91     bool postops_in_ip_;
  92 };
  93
  94 template <impl::data_type_t data_type>
  95 struct gemm_inner_product_bwd_data_t: public cpu_primitive_t {
  96     struct pd_t: public cpu_inner_product_bwd_data_pd_t {
  97         pd_t(engine_t *engine, const inner_product_desc_t *adesc,
  98                 const primitive_attr_t *attr,
  99                 const inner_product_fwd_pd_t *hint_fwd_pd)
 100             : cpu_inner_product_bwd_data_pd_t(engine, adesc, attr,
 101                     hint_fwd_pd) {}
 102
 103         DECLARE_COMMON_PD_T(GEMM_IMPL_STR, gemm_inner_product_bwd_data_t);
 104
 105         virtual status_t init() override {
 106             using namespace utils;
 107             assert(engine()->kind() == engine_kind::cpu);
 108
 109             bool ok = true
 110                 && this->set_default_params() == status::success
 111                 && desc()->prop_kind == prop_kind::backward_data
 112                 && !has_zero_dim_memory()
 113                 && everyone_is(data_type, desc()->diff_src_desc.data_type,
 114                         desc()->weights_desc.data_type,
 115                         desc()->diff_dst_desc.data_type)
 116                 && attr()->has_default_values()
 117                 && dense_gemm_consitency_check(diff_src_pd(), weights_pd(),
 118                         diff_dst_pd());
 119             return ok ? status::success : status::unimplemented;
 120         }
 121     };
 122
 123     gemm_inner_product_bwd_data_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
 128     virtual void execute(event_t *e) const {
 129         execute_backward_data();
 130         e->set_state(event_t::ready);
 131     }
 132
 133 private:
 134     void execute_backward_data() const;
 135     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 136 };
 137
 138 template <impl::data_type_t data_type>
 139 struct gemm_inner_product_bwd_weights_t: public cpu_primitive_t {
 140     struct pd_t: public cpu_inner_product_bwd_weights_pd_t {
 141         pd_t(engine_t *engine, const inner_product_desc_t *adesc,
 142                 const primitive_attr_t *attr,
 143                 const inner_product_fwd_pd_t *hint_fwd_pd)
 144             : cpu_inner_product_bwd_weights_pd_t(engine, adesc, attr,
 145                     hint_fwd_pd) {}
 146
 147         DECLARE_COMMON_PD_T(GEMM_IMPL_STR, gemm_inner_product_bwd_weights_t);
 148
 149         virtual status_t init() override {
 150             using namespace utils;
 151             assert(engine()->kind() == engine_kind::cpu);
 152             bool ok = true
 153                 && this->set_default_params() == status::success
 154                 && desc()->prop_kind == prop_kind::backward_weights
 155                 && !has_zero_dim_memory()
 156                 && everyone_is(data_type, desc()->src_desc.data_type,
 157                         desc()->diff_weights_desc.data_type,
 158                         desc()->diff_dst_desc.data_type)
 159                 && attr()->has_default_values()
 160                 && dense_gemm_consitency_check(src_pd(), diff_weights_pd(),
 161                         diff_dst_pd());
 162
 163             return ok ? status::success : status::unimplemented;
 164         }
 165     };
 166
 167     gemm_inner_product_bwd_weights_t(const pd_t *apd, const input_vector &inputs,
 168             const output_vector &outputs)
 169         : cpu_primitive_t(apd, inputs, outputs) {}
 170     typedef typename prec_traits<data_type>::type data_t;
 171
 172     virtual void execute(event_t *e) const {
 173         execute_backward_weights();
 174         e->set_state(event_t::ready);
 175     }
 176
 177 private:
 178     void execute_backward_weights() const;
 179     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 180 };
 181
 182 }
 183 }
 184 }
 185
 186 #endif
 187
 188 // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
 189