// 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/gather_compute.h" #include #include "lite/backends/arm/math/funcs.h" namespace paddle { namespace lite { namespace kernels { namespace arm { void GatherCompute::Run() { auto& param = this->Param(); auto* p_output = param.Out->mutable_data(); auto index_size = param.Index->dims()[0]; auto src_dims = param.X->dims(); const float* p_src = param.X->data(); const int* p_index = param.Index->data(); int slice_size = 1; for (int i = 1; i < src_dims.size(); ++i) { slice_size *= src_dims[i]; } for (int i = 0; i < index_size; ++i) { int index_ = p_index[i]; memcpy(p_output + i * slice_size, p_src + index_ * slice_size, slice_size * sizeof(float)); } } } // namespace arm } // namespace kernels } // namespace lite } // namespace paddle REGISTER_LITE_KERNEL( gather, kARM, kAny, kNCHW, paddle::lite::kernels::arm::GatherCompute, def) .BindInput("X", {LiteType::GetTensorTy(TARGET(kARM))}) .BindInput("Index", {LiteType::GetTensorTy(TARGET(kARM), PRECISION(kInt32))}) .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kARM))}) .Finalize();