/* Copyright (c) 2016 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. */ #pragma once #include #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/platform/place.h" namespace paddle { namespace operators { using Tensor = framework::Tensor; /** * Return a updated tensor from source tensor, scattered according to index: * dst[i] = src[index[i]] * input[src]: type-T source Tensor * input[index]: type-int index Tensor (1-D) * return: output tensor */ template void ScatterAssign(const platform::DeviceContext& ctx, const Tensor& src, const Tensor& index, Tensor* output) { PADDLE_ENFORCE(platform::is_cpu_place(ctx.GetPlace())); // check index of shape 1-D PADDLE_ENFORCE(index.dims().size() == 1); int index_size = index.dims()[0]; auto src_dims = src.dims(); auto dst_dims = output->dims(); const T* p_src = src.data(); const int* p_index = index.data(); T* p_output = output->data(); // check src shape and dst shape should match for (int i = 1; i < src_dims.size(); i++) PADDLE_ENFORCE(src_dims[i] == dst_dims[i]); // slice size size_t slice_size = 1; for (int i = 1; i < src_dims.size(); ++i) slice_size *= src_dims[i]; const size_t slice_bytes = slice_size * sizeof(T); for (int i = 0; i < index_size; ++i) { int index_ = p_index[i]; memcpy(p_output + index_ * slice_size, p_src + i * slice_size, slice_bytes); } } } // namespace operators } // namespace paddle