/******************************************************************************* * 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_INNER_PRODUCT_HPP #define CPU_REF_INNER_PRODUCT_HPP #include #include "c_types_map.hpp" #include "cpu_inner_product_pd.hpp" #include "cpu_engine.hpp" #include "type_helpers.hpp" #include "utils.hpp" namespace mkldnn { namespace impl { namespace cpu { template struct ref_inner_product_fwd_t: public cpu_primitive_t { struct pd_t: public cpu_inner_product_fwd_pd_t { pd_t(engine_t *engine, const inner_product_desc_t *adesc, const primitive_attr_t *attr, const inner_product_fwd_pd_t *hint_fwd_pd) : cpu_inner_product_fwd_pd_t(engine, adesc, attr, hint_fwd_pd) {} DECLARE_COMMON_PD_T("ref:any", ref_inner_product_fwd_t); virtual status_t init() override { using namespace prop_kind; using namespace data_type; assert(engine()->kind() == engine_kind::cpu); bool ok = true && this->set_default_params() == status::success && utils::one_of(desc()->prop_kind, forward_training, forward_inference) && desc()->src_desc.data_type == src_type && desc()->weights_desc.data_type == wei_type && desc()->accum_data_type == acc_type && desc()->dst_desc.data_type == dst_type && IMPLICATION(with_bias(), utils::one_of(desc()->bias_desc.data_type, f32, s32, s8, u8)) && attr()->output_scales_.has_default_values() && attr()->post_ops_.len_ <= 1 && IMPLICATION(attr()->post_ops_.len_ == 1, attr()->post_ops_.entry_[0].is_relu(true, false)); return ok ? status::success : status::unimplemented; } }; ref_inner_product_fwd_t(const pd_t *apd, const input_vector &inputs, const output_vector &outputs) : cpu_primitive_t(apd, inputs, outputs) {} typedef typename prec_traits::type src_data_t; typedef typename prec_traits::type wei_data_t; typedef typename prec_traits::type dst_data_t; typedef typename prec_traits::type acc_data_t; virtual void execute(event_t *e) const { switch (pd()->desc()->prop_kind) { case prop_kind::forward_training: case prop_kind::forward_inference: execute_forward(); break; default: assert(!"invalid prop_kind"); } e->set_state(event_t::ready); } private: void execute_forward() const; const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); } }; template struct ref_inner_product_bwd_data_t: public cpu_primitive_t { struct pd_t: public cpu_inner_product_bwd_data_pd_t { pd_t(engine_t *engine, const inner_product_desc_t *adesc, const primitive_attr_t *attr, const inner_product_fwd_pd_t *hint_fwd_pd) : cpu_inner_product_bwd_data_pd_t(engine, adesc, attr, hint_fwd_pd) {} DECLARE_COMMON_PD_T("ref:any", ref_inner_product_bwd_data_t); virtual status_t init() override { using namespace prop_kind; assert(engine()->kind() == engine_kind::cpu); bool ok = true && this->set_default_params() == status::success && utils::one_of(this->desc()->prop_kind, backward, backward_data) && desc()->diff_src_desc.data_type == diff_src_type && desc()->weights_desc.data_type == wei_type && desc()->accum_data_type == acc_type && desc()->diff_dst_desc.data_type == diff_dst_type && attr()->has_default_values(); return ok ? status::success : status::unimplemented; } }; ref_inner_product_bwd_data_t(const pd_t *apd, const input_vector &inputs, const output_vector &outputs) : cpu_primitive_t(apd, inputs, outputs) {} typedef typename prec_traits::type diff_src_data_t; typedef typename prec_traits::type wei_data_t; typedef typename prec_traits::type diff_dst_data_t; typedef typename prec_traits::type acc_data_t; virtual void execute(event_t *e) const { switch (pd()->desc()->prop_kind) { case prop_kind::backward: case prop_kind::backward_data: execute_backward_data(); break; default: assert(!"invalid prop_kind"); } e->set_state(event_t::ready); } private: void execute_backward_data() const; const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); } }; template struct ref_inner_product_bwd_weights_t: public cpu_primitive_t { struct pd_t: public cpu_inner_product_bwd_weights_pd_t { pd_t(engine_t *engine, const inner_product_desc_t *adesc, const primitive_attr_t *attr, const inner_product_fwd_pd_t *hint_fwd_pd) : cpu_inner_product_bwd_weights_pd_t(engine, adesc, attr, hint_fwd_pd) {} DECLARE_COMMON_PD_T("ref:any", ref_inner_product_bwd_weights_t); virtual status_t init() override { using namespace prop_kind; assert(engine()->kind() == engine_kind::cpu); bool ok = true && this->set_default_params() == status::success && utils::one_of(this->desc()->prop_kind, backward, backward_weights) && utils::everyone_is(data_type, this->desc()->src_desc.data_type, this->desc()->diff_dst_desc.data_type, this->desc()->diff_weights_desc.data_type) && IMPLICATION(this->with_bias(), data_type == this->desc()->diff_bias_desc.data_type) && attr()->has_default_values(); return ok ? status::success : status::unimplemented; } }; ref_inner_product_bwd_weights_t(const pd_t *apd, const input_vector &inputs, const output_vector &outputs) : cpu_primitive_t(apd, inputs, outputs) {} typedef typename prec_traits::type data_t; virtual void execute(event_t *e) const { switch (pd()->desc()->prop_kind) { case prop_kind::backward: case prop_kind::backward_weights: execute_backward_weights(); break; default: assert(!"invalid prop_kind"); } e->set_state(event_t::ready); } private: void execute_backward_weights() 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