I'm trying to learn Synatxnet. I have it running through Docker. But I really dont know much about either program Synatxnet or Docker. On
the Github Sytaxnet page <https://github.com/tensorflow/models/tree/master/syntaxnet#installation> it says > The SyntaxNet models are configured via a combination of run-time > flags (which are easy to change) and a text format TaskSpec protocol > buffer. The spec file used in the demo is in > syntaxnet/models/parsey_mcparseface/context.pbtxt. How exactly do I find the spec file to edit it? I compiled SyntaxNet in a Docker container using this Dockerfile <https://github.com/tensorflow/models/blob/master/syntaxnet/Dockerfile> FROM java:8 ENV SYNTAXNETDIR=/opt/tensorflow PATH=$PATH:/root/bin RUN mkdir -p $SYNTAXNETDIR \ && cd $SYNTAXNETDIR \ && apt-get update \ && apt-get install git zlib1g-dev file swig python2.7 python-dev python-pip -y \ && pip install --upgrade pip \ && pip install -U protobuf==3.0.0b2 \ && pip install asciitree \ && pip install numpy \ && wget https://github.com/bazelbuild/bazel/releases/download/0.2.2b/bazel-0.2.2b-installer-linux-x86_64.sh \ && chmod +x bazel-0.2.2b-installer-linux-x86_64.sh \ && ./bazel-0.2.2b-installer-linux-x86_64.sh --user \ && git clone --recursive https://github.com/tensorflow/models.git \ && cd $SYNTAXNETDIR/models/syntaxnet/tensorflow \ && echo "\n\n\n" | ./configure \ && apt-get autoremove -y \ && apt-get clean RUN cd $SYNTAXNETDIR/models/syntaxnet \ && bazel test --genrule_strategy=standalone syntaxnet/... util/utf8 /... WORKDIR $SYNTAXNETDIR/models/syntaxnet CMD [ "sh", "-c", "echo 'Bob brought the pizza to Alice.' | syntaxnet/demo.sh" ] # COMMANDS to build and run # =============================== # mkdir build && cp Dockerfile build/ && cd build # docker build -t syntaxnet . # docker run syntaxnet -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/17211fe9-f2b4-42f6-a1ee-900837cca021%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
