// Copyright (c) 2022 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/phi/core/compat/op_utils.h" namespace phi { KernelSignature RnnOpArgumentMapping(const ArgumentMappingContext& ctx) { return KernelSignature("rnn", {"Input", "PreState", "WeightList", "SequenceLength"}, {"dropout_prob", "is_bidirec", "input_size", "hidden_size", "num_layers", "mode", "seed", "is_test"}, {"Out", "DropoutState", "State", "Reserve"}); } KernelSignature RnnGradOpArgumentMapping(const ArgumentMappingContext& ctx) { return KernelSignature("rnn_grad", {"Input", "PreState", "WeightList", "SequenceLength", "Out", "DropoutState", "Reserve", GradVarName("Out"), GradVarName("State")}, {"dropout_prob", "is_bidirec", "input_size", "hidden_size", "num_layers", "mode", "seed", "is_test"}, {GradVarName("Input"), GradVarName("PreState"), GradVarName("WeightList")}); } } // namespace phi PD_REGISTER_ARG_MAPPING_FN(rnn, phi::RnnOpArgumentMapping); PD_REGISTER_ARG_MAPPING_FN(rnn_grad, phi::RnnGradOpArgumentMapping);