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Update Readme #9

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Update Readme #9

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Update Readme 
Signed-off-by: Romain Keramitas <[email protected]>
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@r0mainK
r0mainK committed Jun 8, 2018
commit 94e6f89e5c9b4e582c80c3869a90ddad4d852e88
12 changes: 10 additions & 2 deletions README.md
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Expand Up @@ -33,12 +33,20 @@ Building
```
cmake -DCMAKE_BUILD_TYPE=Release . && make
```
It requires cudart, curand >=8.0 and OpenMP 4.0 compatible compiler (**that is, not gcc <=4.8**).

It requires cudart, curand >=8.0, OpenMP 4.0 compatible compiler (**that is, not gcc <=4.8**) and
cmake >= 3.2.
If [numpy](http://www.numpy.org/) headers are not found,
specify the includes path with defining `NUMPY_INCLUDES`.
If you do not want to build the Python native module, add `-D DISABLE_PYTHON=y`.
If CUDA is not automatically found, add `-D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-8.0`
(change the path to the actual one).
(change the path to the actual one).
If you are building in a Docker container you may encounter the following error:
`Could NOT find CUDA (missing: CUDA_TOOLKIT_ROOT_DIR CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY)`
This means you need to install the rest of the CUDA toolkit, which can be installed like in the
`nvidia/cuda:8.0-devrel` [Dockerfile](https://gitlab.com/nvidia/cuda/blob/ubuntu16.04/8.0/devel/Dockerfile).
If you still run into `Could NOT find CUDA (missing: CUDA_INCLUDE_DIRS)` then run:
```ln -s /usr/local/cuda/targets/x86_64-linux/include/* /usr/local/cuda/include/```

Python users: if you are using Linux x86-64 and CUDA 8.0, then you can
install this easily:
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