|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2022 Google Inc. All rights reserved. | 
|  | // http://ceres-solver.org/ | 
|  | // | 
|  | // Redistribution and use in source and binary forms, with or without | 
|  | // modification, are permitted provided that the following conditions are met: | 
|  | // | 
|  | // * Redistributions of source code must retain the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer. | 
|  | // * Redistributions in binary form must reproduce the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer in the documentation | 
|  | //   and/or other materials provided with the distribution. | 
|  | // * Neither the name of Google Inc. nor the names of its contributors may be | 
|  | //   used to endorse or promote products derived from this software without | 
|  | //   specific prior written permission. | 
|  | // | 
|  | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
|  | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | 
|  | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | 
|  | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE | 
|  | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | 
|  | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
|  | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | 
|  | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | 
|  | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | 
|  | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | 
|  | // POSSIBILITY OF SUCH DAMAGE. | 
|  | // | 
|  | // Author: joydeepb@cs.utexas.edu (Joydeep Biswas) | 
|  |  | 
|  | #include "ceres/internal/config.h" | 
|  |  | 
|  | #ifndef CERES_NO_CUDA | 
|  |  | 
|  | #include "cuda_runtime.h" | 
|  |  | 
|  | namespace ceres::internal { | 
|  |  | 
|  | // Convert an array of double (FP64) values to float (FP32). Both arrays must | 
|  | // already be on GPU memory. | 
|  | void CudaFP64ToFP32(const double* input, | 
|  | float* output, | 
|  | const int size, | 
|  | cudaStream_t stream); | 
|  |  | 
|  | // Convert an array of float (FP32) values to double (FP64). Both arrays must | 
|  | // already be on GPU memory. | 
|  | void CudaFP32ToFP64(const float* input, | 
|  | double* output, | 
|  | const int size, | 
|  | cudaStream_t stream); | 
|  |  | 
|  | // Set all elements of the array to the FP32 value 0. The array must be in GPU | 
|  | // memory. | 
|  | void CudaSetZeroFP32(float* output, const int size, cudaStream_t stream); | 
|  |  | 
|  | // Set all elements of the array to the FP64 value 0. The array must be in GPU | 
|  | // memory. | 
|  | void CudaSetZeroFP64(double* output, const int size, cudaStream_t stream); | 
|  |  | 
|  | // Compute x = x + double(y). Input array is float (FP32), output array is | 
|  | // double (FP64). Both arrays must already be on GPU memory. | 
|  | void CudaDsxpy(double* x, float* y, const int size, cudaStream_t stream); | 
|  |  | 
|  | }  // namespace ceres::internal | 
|  |  | 
|  | #endif  // CERES_NO_CUDA |