MinkowskiEngine/src/gpu.cu

/*
 * Copyright (c) 2020 NVIDIA CORPORATION.
 * Copyright (c) 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.
 */
#include <cstdio>
#include <iomanip>
#include <iostream>

#include "gpu.cuh"

namespace minkowski {

const char *cublasGetErrorString(cublasStatus_t error) {
  switch (error) {
  case CUBLAS_STATUS_SUCCESS:
    return "CUBLAS_STATUS_SUCCESS";
  case CUBLAS_STATUS_NOT_INITIALIZED:
    return "CUBLAS_STATUS_NOT_INITIALIZED";
  case CUBLAS_STATUS_ALLOC_FAILED:
    return "CUBLAS_STATUS_ALLOC_FAILED";
  case CUBLAS_STATUS_INVALID_VALUE:
    return "CUBLAS_STATUS_INVALID_VALUE";
  case CUBLAS_STATUS_ARCH_MISMATCH:
    return "CUBLAS_STATUS_ARCH_MISMATCH";
  case CUBLAS_STATUS_MAPPING_ERROR:
    return "CUBLAS_STATUS_MAPPING_ERROR";
  case CUBLAS_STATUS_EXECUTION_FAILED:
    return "CUBLAS_STATUS_EXECUTION_FAILED";
  case CUBLAS_STATUS_INTERNAL_ERROR:
    return "CUBLAS_STATUS_INTERNAL_ERROR";
#if CUDA_VERSION >= 6000
  case CUBLAS_STATUS_NOT_SUPPORTED:
    return "CUBLAS_STATUS_NOT_SUPPORTED";
#endif
#if CUDA_VERSION >= 6050
  case CUBLAS_STATUS_LICENSE_ERROR:
    return "CUBLAS_STATUS_LICENSE_ERROR";
#endif
  }
  return "Unknown cublas status";
}

const char *cusparseGetErrorString(cusparseStatus_t error) {
  // Read more at: http://docs.nvidia.com/cuda/cusparse/index.html#ixzz3f79JxRar
  switch (error) {
  case CUSPARSE_STATUS_SUCCESS:
    return "The operation completed successfully.";
  case CUSPARSE_STATUS_NOT_INITIALIZED:
    return "CUSPARSE_STATUS_NOT_INITIALIZED";

  case CUSPARSE_STATUS_ALLOC_FAILED:
    return "CUSPARSE_STATUS_ALLOC_FAILED";

  case CUSPARSE_STATUS_INVALID_VALUE:
    return "CUSPARSE_STATUS_INVALID_VALUE";

  case CUSPARSE_STATUS_ARCH_MISMATCH:
    return "CUSPARSE_STATUS_ARCH_MISMATCH";

  case CUSPARSE_STATUS_MAPPING_ERROR:
    return "CUSPARSE_STATUS_MAPPING_ERROR";

  case CUSPARSE_STATUS_EXECUTION_FAILED:
    return "CUSPARSE_STATUS_EXECUTION_FAILED";

  case CUSPARSE_STATUS_INTERNAL_ERROR:
    return "CUSPARSE_STATUS_INTERNAL_ERROR";

  case CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED:
    return "CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED";
  }

  return "<unknown>";
}

cusparseHandle_t getCurrentCUDASparseHandle() {
  cusparseHandle_t handle;
  CUSPARSE_CHECK(cusparseCreate(&handle));
  return handle;
}

static std::string format_size(uint64_t size) {
  std::ostringstream os;
  os.precision(2);
  os << std::fixed;
  if (size <= 1024) {
    os << size << " bytes";
  } else if (size <= 1048576) {
    os << (size / 1024.0);
    os << " KiB";
  } else if (size <= 1073741824ULL) {
    os << size / 1048576.0;
    os << " MiB";
  } else {
    os << size / 1073741824.0;
    os << " GiB";
  }
  return os.str();
}

std::pair<size_t, size_t> get_memory_info() {
  size_t device_free;
  size_t device_total;
  CUDA_CHECK(cudaMemGetInfo(&device_free, &device_total));
  return std::make_pair(device_total, device_free);
}

} // end namespace minkowski