Installation

The conda package includes the required pre-compiled libraries for Windows and Linux.

macOS is not supported

conda install -c conda-forge pycudadecon

GPU requirements

This software requires a CUDA-compatible NVIDIA GPU. The underlying cudadecon libraries have been compiled against different versions of the CUDA toolkit. The required CUDA libraries are bundled in the conda distributions so you don’t need to install the CUDA toolkit separately. If desired, you can pick which version of CUDA you’d like based on your needs, but please note that different versions of the CUDA toolkit have different GPU driver requirements:

To specify a specific cudatoolkit version, install as follows:

conda install -c condaforge pycudadecon cuda-version=<11 or 12>

CUDA toolkit	Linux x86_64 driver	Win x86_64 driver
11.8	≥ 520.61.05	≥ 522.06
11.7	≥ 515.43.04	≥ 516.01
11.6	≥ 510.39.01	≥ 511.23
11.5	≥ 495.29.05	≥ 496.04
11.4	≥ 470.42.01	≥ 471.11
11.3	≥ 465.19.01	≥ 465.89
11.2	≥ 460.27.03	≥ 460.82
11.1	≥ 455.23	≥ 456.38
11.0	≥ 450.36.06	≥ 451.22
10.2	≥ 440.33	≥ 441.22

For the most recent information on GPU driver compatibility, please see the NVIDIA CUDA Toolkit Release Notes.

If you run into trouble, feel free to open an issue on github and describe your setup.