Add quickstart options and docs for GPU

website/_harp.json

@@ -71,7 +71,8 @@
                 { "id": 3, "title": "3.x", "checked": true }]
             },
             { "id": "config", "title": "Configuration", "multiple": true, "options": [
-                {"id": "venv", "title": "virtualenv", "help": "Use a virtual environment and install spaCy into a user directory" }]
+                {"id": "venv", "title": "virtualenv", "help": "Use a virtual environment and install spaCy into a user directory" },
+                {"id": "gpu", "title": "GPU", "help": "Run spaCy on GPU to make it faster. Requires an NVDIA graphics card with CUDA 2+. See section below for more info."}]
             },
             { "id": "model", "title": "Models", "multiple": true, "options": [
                 { "id": "en", "title": "English", "meta": "50MB" },

website/docs/usage/index.jade

@@ -21,10 +21,15 @@ p
     +qs({config: 'venv', os: 'linux'}) source .env/bin/activate
     +qs({config: 'venv', os: 'windows'}) .env\Scripts\activate
 
-    +qs({package: 'pip'}) pip install -U spacy
+    +qs({config: 'gpu', os: 'mac'}) export CUDA_HOME=/usr/local/cuda-8.0
+    +qs({config: 'gpu', os: 'mac'}) export PATH=$PATH:$CUDA_HOME/bin
+    +qs({config: 'gpu', os: 'linux'}) export CUDA_HOME=/usr/local/cuda-8.0
+    +qs({config: 'gpu', os: 'linux'}) export PATH=$PATH:$CUDA_HOME/bin
+    +qs({config: 'gpu', package: 'pip'}) pip install -U chainer
+    +qs({config: 'gpu', package: 'conda'}) conda install -c anaconda chainer
 
-    +qs({package: 'conda'}) conda config --add channels conda-forge
-    +qs({package: 'conda'}) conda install spacy
+    +qs({package: 'pip'}) pip install -U spacy
+    +qs({package: 'conda'}) conda install -c conda-forge spacy
 
     +qs({package: 'source'}) git clone https://github.com/explosion/spaCy
     +qs({package: 'source'}) cd spaCy
@@ -80,6 +85,39 @@ p
     |  #[+a("https://github.com/conda-forge/spacy-feedstock") this repository].
     |  Improvements and pull requests to the recipe and setup are always appreciated.
 
++h(2, "gpu") Run spaCy with GPU
+
+p
+    |  As of v2.0, spaCy's comes with neural network models that are implemented
+    |  in our machine learning library, #[+a(gh("thinc")) Thinc]. For GPU
+    |  support, we've been grateful to use the work of
+    |  #[+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.
+
++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
+
 +h(2, "source") Compile from source
 
 p

website/docs/usage/v2.jade

@@ -168,10 +168,17 @@ p
     python -m spacy download es # default Spanish model
     python -m spacy download xx_ent_web_md # multi-language NER
 
+p
+    |  spaCy v2.0 comes with new and improved neural network models for English,
+    |  German, French and Spanish, as well as a multi-language named entity
+    |  recognition model trained on Wikipedia. #[strong GPU usage] is now
+    |  supported via #[+a("http://chainer.org") Chainer]'s CuPy module.
+
 +infobox
-    |  #[strong Details:] #[+src(gh("spacy-models")) spacy-models]
-    |  #[+a("/docs/api/language-models") Languages]
-    |  #[strong Usage:] #[+a("/docs/usage/models") Models]
+    |  #[strong Details:] #[+a("/docs/api/language-models") Languages],
+    |  #[+src(gh("spacy-models")) spacy-models]
+    |  #[strong Usage:] #[+a("/docs/usage/models") Models],
+    |  #[+a("/docs/usage#gpu") Using spaCy with GPU]
 
 +h(2, "incompat") Backwards incompatibilities