Saturday, 14 May 2016
SyntaxNet: Neural Models of Syntax.
Installation
Running and training SyntaxNet models requires building this package from source. You'll need to install:
- bazel:
- follow the instructions here
- Note: You must use bazel version 0.2.2, NOT 0.2.2b, due to a WORKSPACE issue
- swig:
apt-get install swigon Ubuntubrew install swigon OSX
- protocol buffers, with a version supported by TensorFlow:
- check your protobuf version with
pip freeze | grep protobuf1 - upgrade to a supported version with
pip install -U protobuf==3.0.0b2
- check your protobuf version with
- asciitree, to draw parse trees on the console for the demo:
pip install asciitree
Once you completed the above steps, you can build and test SyntaxNet with the following commands:
git clone --recursive https://github.com/tensorflow/models.git
cd models/syntaxnet/tensorflow
./configure
cd ..
bazel test syntaxnet/... util/utf8/...
# On Mac, run the following:
bazel test --linkopt=-headerpad_max_install_names \
syntaxnet/... util/utf8/...
Bazel should complete reporting all tests passed.
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