Installation

Select your preferences and run the install command.

OS: Linux macOS Windows

Version: Stable Nightly Source

Stable Release.
Nightly build with latest features.
Install GluonNLP from source.

Backend: Native CUDA MKL-DNN CUDA + MKL-DNN

Build-in backend for CPU.
Required to run on Nvidia GPUs.
Accelerate Intel CPU performance.
Enable both Nvidia GPUs and Intel CPU acceleration.

Prerequisites:

  • Requires pip >= 9.. Python 3.5+ are supported.

  • Nightly build provides latest features for enthusiasts.

Command:

pip install --upgrade mxnet gluonnlp

# Here we assume CUDA 10.0 is installed. You can change the number
# according to your own CUDA version.
pip install --upgrade mxnet-cu100 gluonnlp

pip install --upgrade mxnet-mkl gluonnlp

# Here we assume CUDA 10.0 is installed. You can change the number
# according to your own CUDA version.
pip install --upgrade mxnet-cu100mkl gluonnlp

pip install --pre --upgrade mxnet https://github.com/dmlc/gluon-nlp/tarball/master

pip install --pre --upgrade mxnet-cu100 https://github.com/dmlc/gluon-nlp/tarball/master

pip install --pre --upgrade mxnet-mkl https://github.com/dmlc/gluon-nlp/tarball/master

pip install --pre --upgrade mxnet-cu100mkl https://github.com/dmlc/gluon-nlp/tarball/master

pip install --pre --upgrade mxnet
git clone https://github.com/dmlc/gluon-nlp --branch master
cd gluon-nlp && python setup.py install --user

pip install --pre --upgrade mxnet-cu100
git clone https://github.com/dmlc/gluon-nlp
cd gluon-nlp && python setup.py install --user

pip install --pre --upgrade mxnet-mkl
git clone https://github.com/dmlc/gluon-nlp
cd gluon-nlp && python setup.py install --user

pip install --pre --upgrade mxnet-cu100mkl
git clone https://github.com/dmlc/gluon-nlp
cd gluon-nlp && python setup.py install --user

Next steps