// 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 "lite/kernels/arm/lod_reset_compute.h" #include "lite/backends/arm/math/funcs.h" namespace paddle { namespace lite { namespace kernels { namespace arm { void LodResetCompute::PrepareForRun() {} void LodResetCompute::Run() { auto& ctx = this->ctx_->template As(); auto& param = this->Param(); const auto* x_data = param.X->data(); auto* o_data = param.Out->mutable_data(); memcpy(o_data, x_data, sizeof(float) * param.X->numel()); auto lod = param.Out->mutable_lod(); if (param.Y) { if (param.Y->lod().size()) { *lod = param.Y->lod(); } else { const auto* y_data = param.Y->data(); (*lod).resize(1); (*lod)[0].resize(param.Y->numel()); for (int i = 0; i < param.Y->numel(); i++) { (*lod)[0][i] = y_data[i]; } } } else { (*lod).resize(1); for (auto id : param.target_lod) { (*lod)[0].push_back(id); } } } } // namespace arm } // namespace kernels } // namespace lite } // namespace paddle REGISTER_LITE_KERNEL(lod_reset, kARM, kFloat, kNCHW, paddle::lite::kernels::arm::LodResetCompute, def) .BindInput("X", {LiteType::GetTensorTy(TARGET(kARM))}) .BindInput("Y", {LiteType::GetTensorTy(TARGET(kARM))}) .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kARM))}) .Finalize();