// Copyright (c) 2019 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. #include "paddle/fluid/inference/anakin/op_teller.h" namespace paddle { namespace inference { namespace anakin { // Just tell by the op_types. struct SimpleOpTypeSetTeller : public Teller { SimpleOpTypeSetTeller() { teller_set.insert("mul"); teller_set.insert("fc"); teller_set.insert("conv2d_fusion"); teller_set.insert("split"); teller_set.insert("relu"); teller_set.insert("pool2d"); teller_set.insert("elementwise_add"); teller_set.insert("elementwise_mul"); teller_set.insert("concat"); teller_set.insert("tanh"); teller_set.insert("conv2d"); teller_set.insert("batch_norm"); teller_set.insert("softmax"); teller_set.insert("flatten2"); teller_set.insert("reshape2"); teller_set.insert("transpose2"); teller_set.insert("density_prior_box"); teller_set.insert("detection_out"); teller_set.insert("dropout"); teller_set.insert("sigmoid"); teller_set.insert("sum"); teller_set.insert("depthwise_conv2d"); teller_set.insert("prior_box"); } bool operator()(const std::string& op_type, const framework::OpDesc& desc) override { return teller_set.count(op_type); } private: std::unordered_set teller_set; }; bool OpTeller::Tell(const std::string& op_type, const framework::OpDesc& desc) { for (auto& teller : tellers_) { if ((*teller)(op_type, desc)) return true; } return false; } OpTeller::OpTeller() { tellers_.emplace_back(new SimpleOpTypeSetTeller); } } // namespace anakin } // namespace inference } // namespace paddle