diff --git a/compile_from_source.md b/compile_from_source.md index 2c4a6ad..c126341 100644 --- a/compile_from_source.md +++ b/compile_from_source.md @@ -1,7 +1,7 @@ # Compiling from source Basic steps. -1. `make [target]` where `[target]` is among `cuda92, cuda10x, cuda110, cuda11x, cpuonly` +1. `make [target]` where `[target]` is among `cuda92, cuda10x, cuda110, cuda11x, cuda12x, cpuonly` 2. `CUDA_VERSION=XXX python setup.py install` To run these steps you will need to have the nvcc compiler installed that comes with a CUDA installation. If you use anaconda (recommended) then you can figure out which version of CUDA you are using with PyTorch via the command `conda list | grep cudatoolkit`. Then you can install the nvcc compiler by downloading and installing the same CUDA version from the [CUDA toolkit archive](https://developer.nvidia.com/cuda-toolkit-archive).