Dockerfile.ST-Baseline

From nvidia/cuda

#PyTorch
RUN apt-get update && apt-get install -y python-pip python-dev build-essential libyaml-dev git wget xml-twig-tools libsort-naturally-perl default-jre
RUN pip install --upgrade pip
RUN pip install http://download.pytorch.org/whl/cu90/torch-0.3.0.post4-cp27-cp27mu-linux_x86_64.whl 
RUN pip install torchvision
RUN pip install -U numpy
RUN pip install nltk

RUN cd /opt && \
    git clone https://github.com/quanpn90/OpenNMT-py -b MultiLingual
RUN cd /opt && \
    git clone https://github.com/jniehues-kit/SLT.KIT.git

RUN cd /opt && \
    git clone https://github.com/moses-smt/mosesdecoder.git

RUN cd /opt && \
    git clone https://github.com/rsennrich/subword-nmt.git

RUN cd /opt && \
    wget http://www.cs.umd.edu/%7Esnover/tercom/tercom-0.7.25.tgz && \
    tar xfvz tercom-0.7.25.tgz

RUN cd /opt && wget https://raw.githubusercontent.com/stanojevic/beer/master/packaged/beer_2.0.tar.gz && tar xfvz beer_2.0.tar.gz
RUN cd /opt && git clone https://github.com/rwth-i6/CharacTER.git


#docker run -ti --rm --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=2 nvidia/cuda