// Copyright (c) 2018 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/convert/activation.h" #include #include using anakin::graph::GraphGlobalMem; using anakin::AK_FLOAT; using anakin::saber::NV; using anakin::saber::Shape; namespace paddle { namespace inference { namespace anakin { ActivationOpConverter::ActivationOpConverter(const std::string &op_type) : op_type_(op_type) { auto it = anakin_ops_type_.find(op_type_); PADDLE_ENFORCE(it != anakin_ops_type_.end(), "activation op type is not support"); anakin_op_type_ = it->second; } void ActivationOpConverter::operator()(const framework::proto::OpDesc &op, const framework::Scope &scope, bool test_mode) { framework::OpDesc op_desc(op, nullptr); PADDLE_ENFORCE_EQ(op_desc.Input("X").size(), 1); PADDLE_ENFORCE_EQ(op_desc.Output("Out").size(), 1); auto op_name = op_desc.Type() + ":" + op_desc.Output("Out").front(); auto input_name = op_desc.Input("X").front(); auto output_name = op_desc.Output("Out").front(); engine_->AddOp(op_name, "Activation", {input_name}, {output_name}); engine_->AddOpAttr(op_name, "type", anakin_op_type_); if (op_type_ == "relu") { engine_->AddOpAttr(op_name, "alpha", 0); } } } // namespace anakin } // namespace inference } // namespace paddle REGISTER_ANAKIN_OP_CONVERTER(relu, ReluOpConverter); REGISTER_ANAKIN_OP_CONVERTER(sigmoid, SigmoidOpConverter); REGISTER_ANAKIN_OP_CONVERTER(tanh, TanhOpConverter);