| /* | |
| * Copyright (c) 2020 NVIDIA Corporation. | |
| * Copyright (c) 2018-2020 Chris Choy (chrischoy@ai.stanford.edu). | |
| * | |
| * Permission is hereby granted, free of charge, to any person obtaining a copy | |
| * of this software and associated documentation files (the "Software"), to deal | |
| * in the Software without restriction, including without limitation the rights | |
| * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| * copies of the Software, and to permit persons to whom the Software is | |
| * furnished to do so, subject to the following conditions: | |
| * | |
| * The above copyright notice and this permission notice shall be included in | |
| * all copies or substantial portions of the Software. | |
| * | |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING | |
| * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS | |
| * IN THE SOFTWARE. | |
| * | |
| * Please cite "4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural | |
| * Networks", CVPR'19 (https://arxiv.org/abs/1904.08755) if you use any part | |
| * of the code. | |
| */ | |
| namespace minkowski { | |
| template <typename Dtype, typename Itype, typename ByteAllocator> | |
| void NonzeroAvgPoolingForwardKernelGPU( | |
| Dtype const *d_in_feat, // | |
| default_types::size_type const in_nrows, // | |
| Dtype *d_out_feat, // | |
| default_types::size_type const out_nrows, // | |
| Dtype *d_num_nonzero, // | |
| default_types::size_type const nchannel, // | |
| gpu_kernel_map<Itype, ByteAllocator> const &kernel_map, // | |
| bool const use_avg, | |
| ByteAllocator &allocator, // | |
| cusparseHandle_t cushandle, cudaStream_t stream); | |
| template <typename Dtype, typename Itype, typename ByteAllocator> | |
| void NonzeroAvgPoolingBackwardKernelGPU( | |
| Dtype *d_grad_in_feat, // | |
| default_types::size_type const in_nrows, // | |
| Dtype const *d_grad_out_feat, // | |
| default_types::size_type const out_nrows, // | |
| Dtype const *d_num_nonzero, // | |
| default_types::size_type const nchannel, // | |
| gpu_kernel_map<Itype, ByteAllocator> const &kernel_map, bool const use_avg, | |
| cudaStream_t stream); | |
| } // end namespace minkowski | |