update README to encourage use of wheels
@@ -26,10 +26,21 @@ For detailed instructions on installing CuPy, see [the installation guide](https
You can install CuPy using `pip`:
```sh
+(Binary Package for CUDA 8.0)
+$ pip install cupy-cuda80
+
+(Binary Package for CUDA 9.0)
+$ pip install cupy-cuda90
+
+(Binary Package for CUDA 9.1)
+$ pip install cupy-cuda91
+
+(Source Package)
$ pip install cupy
```
-Note that if you want to enable CUDA, cuDNN, and/or NCCL, they need to be set up before installation of CuPy.
+The latest version of cuDNN and NCCL libraries are included in binary packages (wheels).
+For the source package, you will need to install cuDNN/NCCL before installing CuPy, if you want to use it.
## Run with Docker
