inference-engine/thirdparty/mkl-dnn/src/cpu/jit_sse42_convolution.hpp

   1 /*******************************************************************************
   2 * Copyright 2017-2018 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_JIT_SSE42_CONVOLUTION_HPP
  18 #define CPU_JIT_SSE42_CONVOLUTION_HPP
  19
  20 #include "c_types_map.hpp"
  21 #include "cpu_convolution_pd.hpp"
  22 #include "cpu_engine.hpp"
  23 #include "jit_primitive_conf.hpp"
  24 #include "jit_sse42_conv_kernel_f32.hpp"
  25 #include "jit_uni_depthwise.hpp"
  26
  27 namespace mkldnn {
  28 namespace impl {
  29 namespace cpu {
  30
  31 struct jit_sse42_convolution_fwd_t: public cpu_primitive_t {
  32     struct pd_t: public cpu_convolution_fwd_pd_t {
  33         pd_t(engine_t *engine,
  34                 const convolution_desc_t *adesc,
  35                 const primitive_attr_t *attr,
  36                 const typename pd_t::base_class *hint_fwd_pd)
  37             : cpu_convolution_fwd_pd_t(engine, adesc, attr, hint_fwd_pd)
  38             , jcp_(), jcp_dw_() {}
  39
  40         DECLARE_COMMON_PD_T(
  41                 JIT_IMPL_NAME_HELPER("jit:", sse42, ""),
  42                 jit_sse42_convolution_fwd_t);
  43
  44         virtual status_t init() override {
  45             using namespace prop_kind;
  46             assert(this->engine()->kind() == engine_kind::cpu);
  47             bool ok = true
  48                 && this->set_default_params() == status::success
  49                 && utils::one_of(this->desc()->prop_kind, forward_training,
  50                         forward_inference)
  51                 && utils::one_of(this->desc()->alg_kind,
  52                            alg_kind::convolution_auto,
  53                            alg_kind::convolution_direct)
  54                 && !this->has_zero_dim_memory()
  55                 && utils::everyone_is(data_type::f32,
  56                         this->desc()->src_desc.data_type,
  57                         this->desc()->weights_desc.data_type,
  58                         this->desc()->dst_desc.data_type)
  59                 && IMPLICATION(this->with_bias(),
  60                         data_type::f32 == this->desc()->bias_desc.data_type);
  61             if (!ok) return status::unimplemented;
  62
  63             status_t status = jit_sse42_conv_fwd_kernel_f32::init_conf(jcp_, *this->desc(),
  64                     *this->src_pd_.desc(), *this->weights_pd_.desc(),
  65                     *this->dst_pd_.desc(), *this->attr());
  66             if (status != status::success) return status;
  67
  68             if (jcp_.with_dw_conv) {
  69                 status_t sts_dw = jit_uni_dw_conv_row_f32<sse42>::init_conf(jcp_, jcp_dw_, *this->attr());
  70                 if (sts_dw != status::success) return sts_dw;
  71             }
  72
  73             auto scratchpad = scratchpad_registry().registrar();
  74             jit_sse42_conv_fwd_kernel_f32::init_scratchpad(scratchpad, jcp_, jcp_dw_);
  75
  76             return status::success;
  77         }
  78
  79         jit_conv_conf_t jcp_;
  80         jit_conv_conf_t jcp_dw_;
  81
  82     protected:
  83         virtual status_t set_default_params() override {
  84             using namespace memory_format;
  85
  86             const bool flat = this->IC() == 3 || this->IC() == 1;
  87             if (this->src_pd_.desc()->format == any)
  88                 CHECK(this->src_pd_.set_format(flat
  89                     ? utils::pick(this->ndims() - 3, ncw, nchw)
  90                     : utils::pick(this->ndims() - 3, nCw8c, nChw8c)));
  91             if (this->dst_pd_.desc()->format == any)
  92                 CHECK(this->dst_pd_.set_format(utils::pick(this->ndims() - 3,
  93                     nCw8c, nChw8c)));
  94             if (this->weights_pd_.desc()->format == any)
  95                 CHECK(this->weights_pd_.set_format(this->with_groups()
  96                     ? utils::pick(2 * this->ndims() - 6 + flat, gOIw8i8o,
  97                         gOwi8o, gOIhw8i8o, gOhwi8o)
  98                     : utils::pick(2 * this->ndims() - 6 + flat, OIw8i8o, Owi8o,
  99                         OIhw8i8o, Ohwi8o)));
 100             if (this->bias_pd_.desc()->format == any)
 101                 CHECK(this->bias_pd_.set_format(x));
 102             if (this->desc()->alg_kind == alg_kind::convolution_auto)
 103                 CHECK(this->set_alg_kind(alg_kind::convolution_direct));
 104             return status::success;
 105         }
 106     };
 107
 108     jit_sse42_convolution_fwd_t(const pd_t *apd, const input_vector &inputs,
 109             const output_vector &outputs)
 110         : cpu_primitive_t(apd, inputs, outputs)
 111     {
 112         kernel_ = new jit_sse42_conv_fwd_kernel_f32(pd()->jcp_, pd()->jcp_dw_, *pd()->attr());
 113
 114         if (pd()->jcp_.with_dw_conv) {
 115             kernel_dw_ = new jit_uni_dw_conv_row_f32<sse42>(pd()->jcp_dw_, *pd()->attr(), pd()->jcp_dw_.ch_block);
 116         }
 117     }
 118
 119     ~jit_sse42_convolution_fwd_t() {
 120         delete kernel_;
 121
 122         if (pd()->jcp_.with_dw_conv) {
 123             delete kernel_dw_;
 124         }
 125     };
 126
 127     typedef typename prec_traits<data_type::f32>::type data_t;
 128
 129     virtual void execute(event_t *e) const {
 130         if (pd()->jcp_.with_dw_conv)
 131             execute_forward_with_dw_conv();
 132         else
 133             execute_forward();
 134
 135         e->set_state(event_t::ready);
 136     }
 137
 138 private:
 139     void execute_forward() const;
 140     void execute_forward_with_dw_conv() const;
 141     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 142
 143     jit_sse42_conv_fwd_kernel_f32 *kernel_;
 144     jit_uni_dw_conv_row_f32<sse42> *kernel_dw_;
 145 };
 146
 147 }
 148 }
 149 }
 150
 151 #endif