inference-engine/thirdparty/mkl-dnn/src/cpu/jit_avx512_core_u8s8s32x_wino_convolution.hpp

   1 /*******************************************************************************
   2 * Copyright 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_AVX512_CORE_U8S8S32X_WINO_CONVOLUTION_HPP
  18 #define CPU_JIT_AVX512_CORE_U8S8S32X_WINO_CONVOLUTION_HPP
  19
  20 #include <assert.h>
  21
  22 #include "c_types_map.hpp"
  23 #include "cpu_convolution_pd.hpp"
  24 #include "cpu_engine.hpp"
  25 #include "mkldnn_thread.hpp"
  26 #include "type_helpers.hpp"
  27 #include "utils.hpp"
  28
  29 #include "jit_primitive_conf.hpp"
  30
  31 #include "jit_generator.hpp"
  32
  33 namespace mkldnn {
  34 namespace impl {
  35 namespace cpu {
  36
  37 struct jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t;
  38 struct jit_avx512_core_u8s8s32x_wino_conv_src_trans_t;
  39 struct jit_avx512_core_u8s8s32x_wino_conv_dst_trans_t;
  40
  41 template <data_type_t dst_data_type>
  42 struct jit_avx512_core_u8s8s32x_wino_convolution_fwd_t : public cpu_primitive_t {
  43     struct pd_t : public cpu_convolution_fwd_pd_t {
  44         pd_t(engine_t *engine, const convolution_desc_t *adesc,
  45                 const primitive_attr_t *attr,
  46                 const typename pd_t::base_class *hint_fwd_pd)
  47             :  cpu_convolution_fwd_pd_t(engine, adesc, attr, hint_fwd_pd)
  48             , jcp_()
  49         {}
  50         DECLARE_COMMON_PD_T(
  51                 JIT_IMPL_NAME_HELPER("jit_int8_wino:", avx512_core, ""),
  52                 jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<dst_data_type>);
  53
  54         virtual status_t init() override {
  55             using namespace prop_kind;
  56             using namespace memory_format;
  57             assert(this->engine()->kind() == engine_kind::cpu);
  58             bool ok = true
  59                 && this->set_default_params() == status::success
  60                 && utils::one_of(this->desc()->prop_kind,
  61                                     forward_training, forward_inference)
  62                 && utils::one_of(this->desc()->alg_kind,
  63                            alg_kind::convolution_auto,
  64                            alg_kind::convolution_winograd)
  65                 && !this->has_zero_dim_memory()
  66                 && this->desc()->src_desc.data_type == data_type::u8
  67                 && this->desc()->dst_desc.data_type == dst_data_type
  68                 && this->desc()->weights_desc.data_type == data_type::s8
  69                 && IMPLICATION(this->with_bias(),
  70                     utils::one_of(this->desc()->bias_desc.data_type,
  71                                                 data_type::f32, data_type::s32,
  72                                                 data_type::s8, data_type::u8))
  73                 && this->desc()->accum_data_type == data_type::s32;
  74
  75             if (!ok) return status::unimplemented;
  76
  77             status_t status = jit_conf();
  78             if (status != status::success) return status;
  79
  80             init_scratchpad();
  81
  82             if (status == status::success
  83                     && this->desc()->alg_kind == alg_kind::convolution_auto)
  84                 this->set_alg_kind(alg_kind::convolution_winograd);
  85             return status;
  86         }
  87
  88         jit_conv_conf_2x3_wino_t jcp_;
  89
  90     protected:
  91         status_t jit_conf();
  92         void init_scratchpad();
  93
  94         virtual status_t set_default_params() override {
  95             using namespace memory_format;
  96             if (this->src_pd_.desc()->format == any)
  97                 CHECK(this->src_pd_.set_format(nhwc));
  98             if (this->dst_pd_.desc()->format == any)
  99                 CHECK(this->dst_pd_.set_format(nhwc));
 100             if (this->bias_pd_.desc()->format == any)
 101                 CHECK(this->bias_pd_.set_format(x));
 102             return status::success;
 103         }
 104     };
 105
 106     typedef typename prec_traits<data_type::u8>::type src_data_t;
 107     typedef typename prec_traits<data_type::s8>::type wei_data_t;
 108     typedef typename prec_traits<data_type::s32>::type acc_data_t;
 109     typedef typename prec_traits<dst_data_type>::type dst_data_t;
 110
 111     jit_avx512_core_u8s8s32x_wino_convolution_fwd_t(const pd_t *apd,
 112             const input_vector &inputs, const output_vector &outputs);
 113     ~jit_avx512_core_u8s8s32x_wino_convolution_fwd_t();
 114
 115     virtual void execute(event_t *e) const {
 116         execute_forward();
 117         e->set_state(event_t::ready);
 118     }
 119
 120 private:
 121     const float *adjust_oscales(const memory_tracking::grantor_t &scratchpad)
 122         const;
 123     void execute_forward() const;
 124     void execute_forward_small_mb() const;
 125     void execute_forward_mbN() const;
 126     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 127
 128     jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t *kernel_;
 129     jit_avx512_core_u8s8s32x_wino_conv_src_trans_t *src_trans_;
 130     jit_avx512_core_u8s8s32x_wino_conv_dst_trans_t *dst_trans_;
 131 };
 132
 133 }
 134 }
 135 }
 136
 137 #endif
 138
 139 // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s