// 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/dropout.h" #include #include #include #include "paddle/fluid/inference/anakin/convert/helper.h" namespace paddle { namespace inference { namespace anakin { template void DropoutOpConverter::operator()( const framework::proto::OpDesc &op, const framework::BlockDesc &block_desc, 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("Mask").size(), 1); PADDLE_ENFORCE_EQ(op_desc.Output("Out").size(), 1); auto x_name = op_desc.Input("X").front(); auto out_name = op_desc.Output("Out").front(); auto op_name = op_desc.Type() + ":" + op_desc.Output("Out").front(); this->engine_->AddOp(op_name, "Scale", {x_name}, {out_name}); auto dropout_prob = boost::get(op_desc.GetAttr("dropout_prob")); auto factor = 1 - dropout_prob; auto *weight1 = pblock_from_vector( std::vector({factor}), this->engine_); this->engine_->AddOpAttr(op_name, "weight_1", *weight1); this->engine_->AddOpAttr(op_name, "axis", 0); this->engine_->AddOpAttr(op_name, "num_axes", 0); this->engine_->AddOpAttr(op_name, "bias_term", false); } } // namespace anakin } // namespace inference } // namespace paddle REGISTER_ANAKIN_OP_CONVERTER(dropout, DropoutOpConverter);