inference-engine/thirdparty/mkl-dnn/src/cpu/jit_avx512_common_1x1_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_AVX512_COMMON_1x1_CONVOLUTION_HPP
  18 #define CPU_JIT_AVX512_COMMON_1x1_CONVOLUTION_HPP
  19
  20 #include "c_types_map.hpp"
  21 #include "cpu_convolution_pd.hpp"
  22 #include "cpu_engine.hpp"
  23 #include "cpu_reducer.hpp"
  24 #include "jit_avx512_common_1x1_conv_kernel.hpp"
  25 #include "jit_uni_1x1_conv_utils.hpp"
  26 #include "jit_transpose_src_utils.hpp"
  27 #include "mkldnn_thread.hpp"
  28 #include "utils.hpp"
  29
  30 namespace mkldnn {
  31 namespace impl {
  32 namespace cpu {
  33
  34 template <bool with_relu, impl::data_type_t src_type,
  35          impl::data_type_t wei_type = src_type,
  36          impl::data_type_t dst_type = src_type>
  37 struct _jit_avx512_common_1x1_convolution_fwd_t : public cpu_primitive_t {
  38     // TODO: (Roma) Code duplication duplication! Remove with templates
  39     //              (maybe...)!
  40     struct pd_t: public _cpu_convolution_fwd_pd_t<with_relu> {
  41         pd_t(engine_t *engine,
  42                 const typename pd_t::base_desc_t *adesc,
  43                 const primitive_attr_t *attr,
  44                 const typename pd_t::base_class *hint_fwd_pd)
  45             : _cpu_convolution_fwd_pd_t<with_relu>(engine, adesc, attr,
  46                     hint_fwd_pd)
  47             , jcp_(), rtus_() {}
  48
  49         DECLARE_COMMON_PD_T(
  50                 JIT_IMPL_NAME_HELPER("jit_1x1:", avx512_common, ""),
  51                 _jit_avx512_common_1x1_convolution_fwd_t);
  52
  53         virtual status_t init() override {
  54             using namespace prop_kind;
  55             using namespace utils;
  56             assert(this->engine()->kind() == engine_kind::cpu);
  57             bool ok = true
  58                 && this->set_default_params() == status::success
  59                 && utils::one_of(this->cdesc_().prop_kind, forward_training,
  60                         forward_inference)
  61                 && this->cdesc_().alg_kind == alg_kind::convolution_direct
  62                 && this->cdesc_().src_desc.data_type == src_type
  63                 && this->cdesc_().weights_desc.data_type == wei_type
  64                 && this->cdesc_().dst_desc.data_type == dst_type
  65                 && implication(this->with_bias(),
  66                     dst_type == this->cdesc_().bias_desc.data_type)
  67                 && implication(with_relu && dst_type == data_type::s32
  68                     && everyone_is(data_type::s16, src_type, wei_type),
  69                     this->negative_slope() == 0.);
  70             if (!ok) return status::unimplemented;
  71
  72             const convolution_desc_t *conv_d = &this->cdesc_();
  73             const memory_desc_t *src_d = this->src_pd_.desc();
  74             rtus_prepare(this, conv_d, src_d, this->dst_pd_.desc());
  75             return jit_avx512_common_1x1_conv_kernel::init_conf(jcp_,
  76                     *conv_d, *src_d, *this->weights_pd_.desc(),
  77                     *this->dst_pd_.desc(), *this->attr(),
  78                     with_relu, this->negative_slope(),
  79                     omp_get_max_threads(), rtus_.reduce_src_);
  80         }
  81
  82         jit_1x1_conv_conf_t jcp_;
  83         struct reduce_to_unit_stride_t {
  84             convolution_desc_t conv_d_;
  85             bool reduce_src_;
  86         } rtus_;
  87
  88       protected:
  89         virtual status_t set_default_params() override {
  90             using namespace memory_format;
  91             if (this->src_pd_.desc()->format == any)
  92                 CHECK(this->src_pd_.set_format(nChw16c));
  93             if (this->dst_pd_.desc()->format == any)
  94                 CHECK(this->dst_pd_.set_format(nChw16c));
  95             if (this->weights_pd_.desc()->format == any) {
  96                 if (dst_type == data_type::f32 && src_type == data_type::f32
  97                     && wei_type == data_type::f32)
  98                         CHECK(this->weights_pd_.set_format(this->with_groups()
  99                                                 ? gOIhw16i16o : OIhw16i16o));
 100                 else if (dst_type == data_type::s32
 101                     && src_type == data_type::s16
 102                     && wei_type == data_type::s16)
 103                         CHECK(this->weights_pd_.set_format(this->with_groups()
 104                                                 ? gOIhw8i16o2i : OIhw8i16o2i));
 105             }
 106             if (this->bias_pd_.desc()->format == any)
 107                 CHECK(this->bias_pd_.set_format(x));
 108             return status::success;
 109         }
 110     };
 111
 112     template <cpu_isa_t isa, typename conv_t>
 113     friend void init_rtus_driver(conv_t *self);
 114     _jit_avx512_common_1x1_convolution_fwd_t(const pd_t *pd,
 115                                           const input_vector &inputs,
 116                                           const output_vector &outputs)
 117         : cpu_primitive_t(&conf_, inputs, outputs), conf_(*pd)
 118         , kernel_(nullptr), rtus_driver_(nullptr), ws_per_thread_(0)
 119         , scratch_(nullptr), padded_bias_(nullptr)
 120     {
 121         kernel_ = new jit_avx512_common_1x1_conv_kernel(conf_.jcp_,
 122                     *conf_.attr());
 123
 124         init_rtus_driver<avx512_common>(this);
 125
 126         if (conf_.want_padded_bias()) {
 127             const auto &j = conf_.jcp_;
 128             assert(j.ngroups == 1);
 129             padded_bias_ = (dst_data_t *)malloc(sizeof(dst_data_t) * j.oc, 64);
 130             for (int oc = j.oc_without_padding; oc < j.oc; ++oc)
 131                 padded_bias_[oc] = 0;
 132         }
 133     }
 134
 135     ~_jit_avx512_common_1x1_convolution_fwd_t() {
 136         delete kernel_;
 137         delete rtus_driver_;
 138         free(scratch_);
 139         free(padded_bias_);
 140     }
 141
 142     typedef typename prec_traits<src_type>::type src_data_t;
 143     typedef typename prec_traits<wei_type>::type wei_data_t;
 144     typedef typename prec_traits<dst_type>::type dst_data_t;
 145
 146     virtual void execute(event_t *e) {
 147         execute_forward();
 148         e->set_state(event_t::ready);
 149     }
 150
 151   private:
 152     void execute_forward();
 153     pd_t conf_;
 154     jit_avx512_common_1x1_conv_kernel *kernel_;
 155     /* reduction to unit stride */
 156     rtus_driver_t<avx512_common> *rtus_driver_;
 157     size_t ws_per_thread_;
 158     src_data_t *scratch_;
 159     dst_data_t *padded_bias_;
 160 };
 161
 162 using jit_avx512_common_1x1_convolution_fwd_f32_t
 163         = _jit_avx512_common_1x1_convolution_fwd_t<false, data_type::f32>;
 164 using jit_avx512_common_1x1_convolution_relu_f32_t
 165         = _jit_avx512_common_1x1_convolution_fwd_t<true, data_type::f32>;
 166 using jit_avx512_common_1x1_convolution_fwd_s16s16s32_t
 167         = _jit_avx512_common_1x1_convolution_fwd_t<false, data_type::s16,
 168             data_type::s16, data_type::s32>;
 169 using jit_avx512_common_1x1_convolution_relu_s16s16s32_t
 170         = _jit_avx512_common_1x1_convolution_fwd_t<true, data_type::s16,
 171             data_type::s16, data_type::s32>;
 172
 173 template <impl::data_type_t diff_dst_type,
 174           impl::data_type_t wei_type = diff_dst_type,
 175           impl::data_type_t diff_src_type = diff_dst_type>
 176 struct _jit_avx512_common_1x1_convolution_bwd_data_t : public cpu_primitive_t {
 177     struct pd_t : public cpu_convolution_bwd_data_pd_t {
 178         pd_t(engine_t *engine,
 179                 const convolution_desc_t *adesc,
 180                 const primitive_attr_t *attr,
 181                 const convolution_fwd_pd_t *hint_fwd_pd)
 182             : cpu_convolution_bwd_data_pd_t(engine, adesc, attr, hint_fwd_pd)
 183             , jcp_(), rtus_() {}
 184
 185         DECLARE_COMMON_PD_T(
 186                 JIT_IMPL_NAME_HELPER("jit_1x1:", avx512_common, ""),
 187                 _jit_avx512_common_1x1_convolution_bwd_data_t);
 188
 189         virtual status_t init() override {
 190             using namespace prop_kind;
 191             assert(this->engine()->kind() == engine_kind::cpu);
 192             bool ok = true
 193                 && this->set_default_params() == status::success
 194                 && this->desc()->prop_kind == backward_data
 195                 && this->desc()->alg_kind == alg_kind::convolution_direct
 196                 && this->desc()->diff_dst_desc.data_type == diff_dst_type
 197                 && this->desc()->weights_desc.data_type == wei_type
 198                 && this->desc()->diff_src_desc.data_type == diff_src_type;
 199             if (!ok) return status::unimplemented;
 200
 201             const convolution_desc_t *conv_d = this->desc();
 202             const memory_desc_t *diff_src_d = this->diff_src_pd_.desc();
 203             rtus_prepare(this, conv_d, diff_src_d, this->diff_dst_pd_.desc());
 204             return jit_avx512_common_1x1_conv_kernel::init_conf(jcp_,
 205                             *conv_d, *diff_src_d, *this->weights_pd_.desc(),
 206                             *this->diff_dst_pd_.desc(), *this->attr(),
 207                             omp_get_max_threads(), rtus_.reduce_src_);
 208         }
 209
 210         // TODO (Roma): structs conf header cleanup
 211         jit_1x1_conv_conf_t jcp_;
 212         struct reduce_to_unit_stride_t {
 213             convolution_desc_t conv_d_;
 214             bool reduce_src_;
 215         } rtus_;
 216
 217     protected:
 218         virtual status_t set_default_params() override {
 219             using namespace memory_format;
 220
 221             if (this->diff_src_pd_.desc()->format == any)
 222                 CHECK(this->diff_src_pd_.set_format(nChw16c));
 223             if (this->diff_dst_pd_.desc()->format == any)
 224                 CHECK(this->diff_dst_pd_.set_format(nChw16c));
 225             if (this->weights_pd_.desc()->format == any) {
 226                 if (diff_dst_type == data_type::f32
 227                     && diff_src_type == data_type::f32
 228                     && wei_type == data_type::f32) {
 229                     CHECK(this->weights_pd_.set_format(this->with_groups()
 230                         ? gIOhw16o16i : IOhw16o16i));
 231                 }
 232                 else if (diff_dst_type == data_type::s16
 233                     && diff_src_type == data_type::s32
 234                     && wei_type == data_type::s16)
 235                         CHECK(this->weights_pd_.set_format(this->with_groups()
 236                                                 ? gOIhw8o16i2o : OIhw8o16i2o));
 237             }
 238
 239             return status::success;
 240         }
 241     };
 242
 243     template <cpu_isa_t isa, typename conv_t>
 244     friend void init_rtus_driver(conv_t *self);
 245     _jit_avx512_common_1x1_convolution_bwd_data_t(const pd_t *pd,
 246                                               const input_vector &inputs,
 247                                               const output_vector &outputs)
 248         : cpu_primitive_t(&conf_, inputs, outputs), conf_(*pd)
 249         , kernel_(nullptr), rtus_driver_(nullptr), ws_per_thread_(0)
 250         , scratch_(nullptr)
 251     {
 252         kernel_ = new jit_avx512_common_1x1_conv_kernel(conf_.jcp_,
 253                     *conf_.attr());
 254         init_rtus_driver<avx512_common>(this);
 255     }
 256     ~_jit_avx512_common_1x1_convolution_bwd_data_t()
 257     {
 258         delete kernel_;
 259         delete rtus_driver_;
 260         free(scratch_);
 261     }
 262
 263     typedef typename prec_traits<diff_dst_type>::type diff_dst_data_t;
 264     typedef typename prec_traits<wei_type>::type wei_data_t;
 265     typedef typename prec_traits<diff_src_type>::type diff_src_data_t;
 266
 267     virtual void execute(event_t *e) {
 268         switch (conf_.desc()->prop_kind) {
 269         case prop_kind::backward_data:
 270             execute_backward_data();
 271             break;
 272         default:
 273             assert(!"invalid prop_kind");
 274         }
 275         e->set_state(event_t::ready);
 276     }
 277
 278   private:
 279     void execute_backward_data();
 280     pd_t conf_;
 281     jit_avx512_common_1x1_conv_kernel *kernel_;
 282     /* reduction to unit stride */
 283     rtus_driver_t<avx512_common> *rtus_driver_;
 284     size_t ws_per_thread_;
 285     diff_src_data_t *scratch_;
 286 };
 287
 288 using jit_avx512_common_1x1_convolution_bwd_data_f32_t
 289         = _jit_avx512_common_1x1_convolution_bwd_data_t<data_type::f32>;
 290 using jit_avx512_common_1x1_convolution_bwd_data_s16s16s32_t
 291         = _jit_avx512_common_1x1_convolution_bwd_data_t<data_type::s16,
 292             data_type::s16, data_type::s32>;
 293
 294 struct jit_avx512_common_1x1_convolution_bwd_weights_t : public cpu_primitive_t
 295 {
 296     struct pd_t : public cpu_convolution_bwd_weights_pd_t {
 297         pd_t(engine_t *engine,
 298                 const convolution_desc_t *adesc,
 299                 const primitive_attr_t *attr,
 300                 const convolution_fwd_pd_t *hint_fwd_pd)
 301             : cpu_convolution_bwd_weights_pd_t(engine, adesc, attr, hint_fwd_pd)
 302             , jcp_(), rtus_() {}
 303
 304         DECLARE_COMMON_PD_T(
 305                 JIT_IMPL_NAME_HELPER("jit_1x1:", avx512_common, ""),
 306                 jit_avx512_common_1x1_convolution_bwd_weights_t);
 307
 308         virtual status_t init() override {
 309             using namespace prop_kind;
 310             assert(this->engine()->kind() == engine_kind::cpu);
 311             bool ok = true
 312                 && this->set_default_params() == status::success
 313                 && this->desc()->prop_kind == backward_weights
 314                 && this->desc()->alg_kind == alg_kind::convolution_direct
 315                 && utils::everyone_is(data_type::f32,
 316                         this->desc()->src_desc.data_type,
 317                         this->desc()->diff_weights_desc.data_type,
 318                         this->desc()->diff_dst_desc.data_type)
 319                 && utils::implication(this->with_bias(),
 320                         data_type::f32 == desc()->diff_bias_desc.data_type);
 321             if (!ok) return status::unimplemented;
 322
 323             const convolution_desc_t *conv_d = this->desc();
 324             const memory_desc_t *src_d = this->src_pd_.desc();
 325             rtus_prepare(this, conv_d, src_d, this->diff_dst_pd_.desc());
 326             return jit_avx512_common_1x1_conv_kernel::init_conf(jcp_,
 327                             *conv_d, *src_d, *this->diff_weights_pd_.desc(),
 328                             *this->diff_dst_pd_.desc(), *this->attr(),
 329                             omp_get_max_threads(), rtus_.reduce_src_);
 330         }
 331
 332         // TODO (Roma): structs conf header cleanup
 333         jit_1x1_conv_conf_t jcp_;
 334
 335         struct reduce_to_unit_stride_t {
 336             convolution_desc_t conv_d_;
 337             bool reduce_src_;
 338         } rtus_;
 339
 340     protected:
 341         virtual status_t set_default_params() override {
 342             using namespace memory_format;
 343
 344             if (this->src_pd_.desc()->format == any)
 345                 CHECK(this->src_pd_.set_format(nChw16c));
 346             if (this->diff_dst_pd_.desc()->format == any)
 347                 CHECK(this->diff_dst_pd_.set_format(nChw16c));
 348             if (this->diff_weights_pd_.desc()->format == any)
 349                 CHECK(this->diff_weights_pd_.set_format(this->with_groups()
 350                                                 ? gOIhw16i16o : OIhw16i16o));
 351             if (this->diff_bias_pd_.desc()->format == any)
 352                 CHECK(this->diff_bias_pd_.set_format(x));
 353             return status::success;
 354         }
 355     };
 356
 357     template <cpu_isa_t isa, typename conv_t>
 358     friend void init_rtus_driver(conv_t *self);
 359     jit_avx512_common_1x1_convolution_bwd_weights_t(const pd_t *pd,
 360                                                  const input_vector &inputs,
 361                                                  const output_vector &outputs);
 362     ~jit_avx512_common_1x1_convolution_bwd_weights_t() {
 363         delete kernel_;
 364         delete acc_ker_;
 365         delete reducer_bias_;
 366         delete rtus_driver_;
 367         delete trans_kernel_;
 368         free(bctx_);
 369         free(ws_reduction_);
 370         free(scratch_);
 371         free(tr_src_);
 372         free(padded_bias_);
 373     }
 374
 375     typedef typename prec_traits<data_type::f32>::type data_t;
 376
 377     virtual void execute(event_t *e) {
 378         switch (conf_.desc()->prop_kind) {
 379         case prop_kind::backward_weights:
 380             execute_backward_weights();
 381             break;
 382         default:
 383             assert(!"invalid prop_kind");
 384         }
 385         e->set_state(event_t::ready);
 386     }
 387
 388   private:
 389     void execute_backward_weights();
 390
 391     pd_t conf_;
 392     jit_avx512_common_1x1_conv_kernel *kernel_;
 393     cpu_accumulator_1d_t<data_type::f32> *acc_ker_;
 394     cpu_reducer_t<data_type::f32> *reducer_bias_;
 395     jit_transpose4x16_src *trans_kernel_;
 396
 397     /* reduction to unit stride */
 398     rtus_driver_t<avx512_common> *rtus_driver_;
 399     size_t ws_per_thread_;
 400     data_t *scratch_;
 401     data_t *padded_bias_;
 402
 403     simple_barrier::ctx_t *bctx_;
 404     data_t *tr_src_;
 405     data_t *ws_reduction_;
 406 };
 407
 408 }
 409 }
 410 }
 411
 412 #endif