/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. 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. */ #pragma once #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/operators/math/beam_search.h" namespace paddle { namespace operators { template class BeamSearchOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { auto* ids = context.Input("ids"); auto* scores = context.Input("scores"); auto* pre_ids = context.Input("pre_ids"); auto* pre_scores = context.Input("pre_scores"); PADDLE_ENFORCE_NOT_NULL(scores); PADDLE_ENFORCE_NOT_NULL(pre_ids); PADDLE_ENFORCE_NOT_NULL(pre_scores); size_t level = context.Attr("level"); size_t beam_size = context.Attr("beam_size"); int end_id = context.Attr("end_id"); bool is_accumulated = context.Attr("is_accumulated"); auto selected_ids = context.Output("selected_ids"); auto selected_scores = context.Output("selected_scores"); PADDLE_ENFORCE_NOT_NULL(selected_ids); PADDLE_ENFORCE_NOT_NULL(selected_scores); math::BeamSearchFunctor alg; alg(context.template device_context(), pre_ids, pre_scores, ids, scores, selected_ids, selected_scores, level, beam_size, end_id, is_accumulated); } }; } // namespace operators } // namespace paddle