// 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 HierarchicalSigmoidOpArgumentMapping( const ArgumentMappingContext& ctx) { return KernelSignature("hsigmoid_loss", {"X", "Label", "W", "Bias", "PathTable", "PathCode"}, {"num_classes", "remote_prefetch", "is_sparse"}, {"Out", "PreOut", "W_Out"}); } KernelSignature HierarchicalSigmoidGradOpArgumentMapping( const ArgumentMappingContext& ctx) { if (ctx.IsDenseTensorOutput("W@GRAD")) { return KernelSignature("hsigmoid_loss_grad", {"X", "W", "Label", "PathTable", "PathCode", "Bias", "PreOut", "Out@GRAD"}, {"num_classes", "remote_prefetch", "is_sparse"}, {"X@GRAD", "W@GRAD", "Bias@GRAD"}); } else if (ctx.IsSelectedRowsOutput("W@GRAD")) { return KernelSignature("hsigmoid_loss_grad_sr", {"X", "W", "Label", "PathTable", "PathCode", "Bias", "PreOut", "Out@GRAD"}, {"num_classes", "remote_prefetch", "is_sparse"}, {"X@GRAD", "W@GRAD", "Bias@GRAD"}); } else { return KernelSignature("unregistered", {}, {}, {}); } } } // namespace phi PD_REGISTER_BASE_KERNEL_NAME(hierarchical_sigmoid, hsigmoid_loss); PD_REGISTER_BASE_KERNEL_NAME(hierarchical_sigmoid_grad, hsigmoid_loss_grad); PD_REGISTER_ARG_MAPPING_FN(hierarchical_sigmoid, phi::HierarchicalSigmoidOpArgumentMapping); PD_REGISTER_ARG_MAPPING_FN(hierarchical_sigmoid_grad, phi::HierarchicalSigmoidGradOpArgumentMapping);