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Update GPU instructions

This commit is contained in:
Matthew Honnibal 2017-06-04 12:03:22 +02:00
parent 1d3b012e56
commit e77ed953f4
1 changed files with 1 additions and 13 deletions
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website/docs/usage/index.jade
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@ -96,27 +96,15 @@ p
| #[+a("http://chainer.org") Chainer]'s CuPy module, which provides
| a NumPy-compatible interface for GPU arrays.
+aside("Why is this so complicated?")
| Installing Chainer when no GPU is available currently causes an
| error. We therefore do not specify Chainer as a dependency. However,
| CuPy will be split out into
| #[+a("https://www.slideshare.net/beam2d/chainer-v2-alpha/7") its own package]
| in Chainer v2.0. We'll have a smoother installation process for this
| in an upcoming version.
p
| First, install follows the normal CUDA installation procedure. Next, set
| your environment variables so that the installation will be able to find
| CUDA. Next, install Chainer, and check that CuPy can be imported
| correctly. Finally, install spaCy.
| CUDA. Finally, install spaCy.
+code(false, "bash").
export CUDA_HOME=/usr/local/cuda-8.0 # Or wherever your CUDA is
export PATH=$PATH:$CUDA_HOME/bin
pip install chainer
python -c "import cupy; assert cupy" # Check it installed
pip install spacy
python -c "import thinc.neural.gpu_ops" # Check the GPU ops were built