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spmm.cuh
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spmm.cuh
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/*
* Copyright (c) 2020 NVIDIA Corporation.
*
* 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.
*/
#ifndef SPMM_CUH
#define SPMM_CUH
#include "gpu.cuh"
#include <cusparse.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/CUDAUtils.h>
#include <c10/cuda/CUDACachingAllocator.h>
#include <torch/extension.h>
#include <torch/script.h>
namespace minkowski {
template <typename th_int_type>
torch::Tensor coo_spmm(torch::Tensor const &rows, torch::Tensor const &cols,
torch::Tensor const &vals, int64_t const dim_i,
int64_t const dim_j, torch::Tensor const &mat2,
int64_t const spmm_algorithm_id, bool const is_sorted);
template <typename th_int_type>
std::vector<torch::Tensor> // output, sorted rows, sorted cols, sorted vals.
coo_spmm_average(torch::Tensor const &rows, torch::Tensor const &cols,
int64_t const dim_i, int64_t const dim_j,
torch::Tensor const &mat2, int64_t const spmm_algorithm_id);
} // namespace minkowski
#endif