inference-engine/thirdparty/mkl-dnn/src/cpu/jit_avx512_core_x8s8s32x_1x1_convolution.hpp

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   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
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  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.
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  16
  17 #ifndef CPU_JIT_AVX512_CORE_X8S8S32X_1X1_CONVOLUTION_HPP
  18 #define CPU_JIT_AVX512_CORE_X8S8S32X_1X1_CONVOLUTION_HPP
  19
  20 #include "c_types_map.hpp"
  21 #include "memory_tracking.hpp"
  22 #include "mkldnn_thread.hpp"
  23 #include "utils.hpp"
  24
  25 #include "cpu_convolution_pd.hpp"
  26 #include "cpu_engine.hpp"
  27
  28 #include "jit_avx512_core_x8s8s32x_1x1_conv_kernel.hpp"
  29 #include "jit_uni_1x1_conv_utils.hpp"
  30
  31 namespace mkldnn {
  32 namespace impl {
  33 namespace cpu {
  34
  35 template<impl::data_type_t src_type, impl::data_type_t dst_type>
  36 struct jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t : public cpu_primitive_t {
  37     struct pd_t: public cpu_convolution_fwd_pd_t {
  38         pd_t(engine_t *engine, const convolution_desc_t *adesc,
  39                 const primitive_attr_t *attr,
  40                 const typename pd_t::base_class *hint_fwd_pd)
  41             : cpu_convolution_fwd_pd_t(engine, adesc, attr, hint_fwd_pd)
  42             , jcp_(), rtus_() {}
  43
  44         DECLARE_COMMON_PD_T(
  45                 JIT_IMPL_NAME_HELPER("jit_int8_1x1:", avx512_core, ""),
  46                 jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t<
  47                 src_type, dst_type>);
  48
  49         virtual status_t init() override {
  50             using namespace prop_kind;
  51             using namespace utils;
  52             assert(this->engine()->kind() == engine_kind::cpu);
  53             bool ok = true
  54                 && this->set_default_params() == status::success
  55                 && utils::one_of(this->desc()->prop_kind, forward_training,
  56                         forward_inference)
  57                 && utils::one_of(this->desc()->alg_kind,
  58                         alg_kind::convolution_auto,
  59                         alg_kind::convolution_direct)
  60                 && !this->has_zero_dim_memory()
  61                 && this->desc()->src_desc.data_type == src_type
  62                 && this->desc()->dst_desc.data_type == dst_type
  63                 && this->desc()->weights_desc.data_type == data_type::s8
  64                 && IMPLICATION(this->with_bias(), utils::one_of(
  65                             this->desc()->bias_desc.data_type, data_type::f32,
  66                             data_type::s32, data_type::s8, data_type::u8))
  67                 && this->desc()->accum_data_type == data_type::s32;
  68             if (!ok) return status::unimplemented;
  69
  70             const convolution_desc_t *conv_d = this->desc();
  71             const memory_desc_t *src_d = this->src_pd_.desc();
  72             rtus_prepare(this, conv_d, src_d, this->dst_pd_.desc());
  73
  74             status_t status =
  75                 jit_avx512_core_x8s8s32x_1x1_conv_kernel::init_conf(jcp_,
  76                         *conv_d, *src_d, *this->weights_pd_.desc(),
  77                         *this->dst_pd_.desc(), *this->bias_pd_.desc(),
  78                         *this->attr(), mkldnn_get_max_threads(),
  79                         rtus_.reduce_src_);
  80             if (status != status::success) return status;
  81
  82             auto scratchpad = scratchpad_registry().registrar();
  83             jit_avx512_core_x8s8s32x_1x1_conv_kernel::init_scratchpad(
  84                     scratchpad, jcp_, *this->attr());
  85
  86             rtus_prepare_space_info(this, scratchpad);
  87
  88             return status::success;
  89         }
  90
  91         jit_1x1_conv_conf_t jcp_;
  92         reduce_to_unit_stride_t rtus_;
  93
  94     protected:
  95         virtual status_t set_default_params() override {
  96             using namespace memory_format;
  97             bool is_sign_input =
  98                 this->desc()->src_desc.data_type == data_type::s8;
  99
 100             if (this->src_pd_.desc()->format == any)
 101                 CHECK(this->src_pd_.set_format(nhwc));
 102             if (this->dst_pd_.desc()->format == any)
 103                 CHECK(this->dst_pd_.set_format(nhwc));
 104             if (this->weights_pd_.desc()->format == any)
 105                 CHECK(this->weights_pd_.set_format(this->with_groups()
 106                     ? (is_sign_input ? gOIhw4i16o4i_s8s8 : gOIhw4i16o4i)
 107                     : (is_sign_input ? OIhw4i16o4i_s8s8 : OIhw4i16o4i)));
 108             if (this->bias_pd_.desc()->format == any)
 109                 CHECK(this->bias_pd_.set_format(x));
 110             if (this->desc()->alg_kind == alg_kind::convolution_auto)
 111                 CHECK(this->set_alg_kind(alg_kind::convolution_direct));
 112
 113             return status::success;
 114         }
 115     };
 116
 117     template <cpu_isa_t isa, typename conv_t>
 118     friend void init_rtus_driver(conv_t *self);
 119
 120     jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t(const pd_t *apd,
 121             const input_vector &inputs, const output_vector &outputs)
 122         : cpu_primitive_t(apd, inputs, outputs)
 123         , kernel_(nullptr), rtus_driver_(nullptr)
 124     {
 125         kernel_ = new jit_avx512_core_x8s8s32x_1x1_conv_kernel(pd()->jcp_,
 126                     *pd()->attr());
 127         init_rtus_driver<avx512_common>(this);
 128     }
 129
 130     ~jit_avx512_core_x8s8s32x_1x1_convolution_fwd_t() {
 131         delete kernel_;
 132         delete rtus_driver_;
 133     }
 134
 135     typedef typename prec_traits<src_type>::type src_data_t;
 136     typedef typename prec_traits<data_type::s8>::type wei_data_t;
 137     typedef typename prec_traits<dst_type>::type dst_data_t;
 138     typedef typename prec_traits<data_type::s32>::type acc_data_t;
 139
 140     virtual void execute(event_t *e) const {
 141         execute_forward();
 142         e->set_state(event_t::ready);
 143     }
 144
 145   private:
 146     void execute_forward() const;
 147     void execute_forward_thr(const int ithr, const int nthr,
 148             const src_data_t *src, const wei_data_t *weights,
 149             const char *bias, dst_data_t *dst,
 150             const memory_tracking::grantor_t &scratchpad) const;
 151     const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 152
 153     jit_avx512_core_x8s8s32x_1x1_conv_kernel *kernel_;
 154     rtus_driver_t<avx512_common> *rtus_driver_;
 155 };
 156
 157 }
 158 }
 159 }
 160
 161 #endif