Merge pull request #3 from TimDettmers/cpuonly

Add a CPU-only build option

1 files changed, 2 insertions, 2 deletions

diff --git a/compile_from_source.md b/compile_from_source.md
index c6a8b18..71b0c09 100644
--- a/compile_from_source.md
+++ b/compile_from_source.md
@@ -1,12 +1,12 @@
 # Compiling from source
 
 Basic steps.
-1. `make cudaXXX` where `cudaXXX` is among `cuda92, cuda10x, cuda110, cuda11x`
+1. `make [target]` where `[target]` is among `cuda92, cuda10x, cuda110, cuda11x, 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). 
 
-For your convenience, there is a install script int he root directory that installs CUDA 11.1 locally and configures it automatically. After installing you should add the `bin` sub-directory to the `$PATH` variable to make the compiler visible to your system. To do this you can add this to your `.bashrc` by executing these commands:
+For your convenience, there is an installation script in the root directory that installs CUDA 11.1 locally and configures it automatically. After installing you should add the `bin` sub-directory to the `$PATH` variable to make the compiler visible to your system. To do this you can add this to your `.bashrc` by executing these commands:
 ```bash
 echo "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64/" >> ~/.bashrc
 echo "export PATH=$PATH:/usr/local/cuda/bin/" >> ~/.bashrc