/******************************************************************************* * Copyright 2016-2018 Intel Corporation * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *******************************************************************************/ #ifndef CPU_REF_ELTWISE_HPP #define CPU_REF_ELTWISE_HPP #include #include "c_types_map.hpp" #include "cpu_eltwise_pd.hpp" #include "cpu_engine.hpp" #include "type_helpers.hpp" #include "utils.hpp" #include "cpu_isa_traits.hpp" namespace mkldnn { namespace impl { namespace cpu { struct ref_eltwise_scalar_fwd_t { public: ref_eltwise_scalar_fwd_t(alg_kind_t alg, float alpha, float beta); // note that eltwise.scale is ignored ref_eltwise_scalar_fwd_t(const post_ops_t::entry_t::eltwise_t &eltwise); float compute_scalar(float s); const alg_kind_t alg_; const float alpha_; const float beta_; }; template struct ref_eltwise_fwd_t: public cpu_primitive_t { struct pd_t: public cpu_eltwise_fwd_pd_t { pd_t(engine_t *engine, const eltwise_desc_t *adesc, const primitive_attr_t *attr, const eltwise_fwd_pd_t *hint_fwd_pd) : cpu_eltwise_fwd_pd_t(engine, adesc, attr, hint_fwd_pd) {} DECLARE_COMMON_PD_T("ref:any", ref_eltwise_fwd_t); virtual status_t init() override { using namespace prop_kind; using namespace memory_format; using namespace utils; assert(engine()->kind() == engine_kind::cpu); auto src_d = memory_desc_wrapper(src_pd()); use_dense_ = false || src_d.is_dense() || (src_d.is_dense(true) && is_zero_preserved()); use_nCspBc_padded_ = !use_dense_ && one_of(desc()->data_desc.format, nChw8c, nChw16c, nCdhw8c, nCdhw16c) && src_d.only_padded_dim(1) && src_d.is_dense(true); if (has_zero_dim_memory()) use_dense_ = use_nCspBc_padded_ = false; const bool use_generic = !use_dense_ && !use_nCspBc_padded_; bool ok = true && one_of(desc()->prop_kind, forward_training, forward_inference) && everyone_is(data_type, desc()->data_desc.data_type) && IMPLICATION(use_generic, one_of(src_d.ndims(), 4, 5)) && attr()->has_default_values() && IMPLICATION(data_type == data_type::bf16, mayiuse(avx512_core)); if (!ok) return status::unimplemented; return status::success; } bool use_dense_, use_nCspBc_padded_; }; ref_eltwise_fwd_t(const pd_t *apd, const input_vector &inputs, const output_vector &outputs) : cpu_primitive_t(apd, inputs, outputs) { } ~ref_eltwise_fwd_t() {} typedef typename prec_traits::type data_t; virtual void execute(event_t *e) const { if (pd()->use_dense_) execute_forward_dense(); else if (pd()->use_nCspBc_padded_) execute_forward_nCspBc_padded(); else execute_forward_generic(); e->set_state(event_t::ready); } private: void execute_forward_nCspBc_padded() const; void execute_forward_dense() const; void execute_forward_generic() const; const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); } }; template struct ref_eltwise_bwd_t: public cpu_primitive_t { struct pd_t: public cpu_eltwise_bwd_pd_t { pd_t(engine_t *engine, const eltwise_desc_t *adesc, const primitive_attr_t *attr, const eltwise_fwd_pd_t *hint_fwd_pd) : cpu_eltwise_bwd_pd_t(engine, adesc, attr, hint_fwd_pd) {} DECLARE_COMMON_PD_T("ref:any", ref_eltwise_bwd_t); virtual status_t init() override { using namespace prop_kind; using namespace utils; assert(engine()->kind() == engine_kind::cpu); bool ok = true && desc()->prop_kind == backward_data && everyone_is(data_type, desc()->data_desc.data_type, desc()->diff_data_desc.data_type) && attr()->has_default_values() && IMPLICATION(data_type == data_type::bf16, mayiuse(avx512_core)); if (!ok) return status::unimplemented; auto diff_dst_d = memory_desc_wrapper(diff_dst_pd()); const bool same_fmt_ = diff_dst_d == memory_desc_wrapper(src_pd()); use_dense_ = true && same_fmt_ && diff_dst_d.is_dense(true) && is_zero_preserved() && !has_zero_dim_memory(); const bool use_generic = !use_dense_; if (use_generic && !one_of(diff_dst_d.ndims(), 4, 5)) return status::unimplemented; return status::success; } bool use_dense_; }; ref_eltwise_bwd_t(const pd_t *apd, const input_vector &inputs, const output_vector &outputs) : cpu_primitive_t(apd, inputs, outputs) {} ~ref_eltwise_bwd_t() {} typedef typename prec_traits::type data_t; virtual void execute(event_t *e) const { if (pd()->use_dense_) execute_backward_dense(); else execute_backward_generic(); e->set_state(event_t::ready); } private: void execute_backward_dense() const; void execute_backward_generic() const; const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); } }; } } } #endif // vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s