/* 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 #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 framework::Tensor; /** * A thin wrapper for gathering on cpu tensor * Return a new tensor from source tensor, gathered according to index * input[src]: type-T source Tensor * input[index]: type-IndexT index Tensor (1-D) * return: output tensor */ template void CPUGather(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 || (index.dims().size() == 2 && index.dims()[1] == 1)); int64_t index_size = index.dims()[0]; auto src_dims = src.dims(); const T* p_src = src.data(); const IndexT* p_index = index.data(); T* p_output = output->data(); // slice size int 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 (int64_t i = 0; i < index_size; ++i) { IndexT index_ = p_index[i]; memcpy(p_output + i * slice_size, p_src + index_ * slice_size, slice_bytes); } } } // namespace operators } // namespace paddle