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amazon-archives / amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Apache License 2.0
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Problem with netcdf after built on container #234

Closed spacelover1 closed 4 years ago

spacelover1 commented 4 years ago

I'm kinda facing the same closed issue #25, except that I've built the engine on container, and after running this line in the example document generateNetCDF -d gl_input -i ml-20m_ratings -o gl_input.nc -f features_input -s samples_input -c, the similar error comes up generateNetCDF: command not found.

I got some errors for netcdf using this Dockerfile so I added these lines for installing it:

RUN wget http://archive.ubuntu.com/ubuntu/pool/universe/n/netcdf-cxx/netcdf-cxx_4.3.0+ds.orig.tar.gz && \
    tar xzf netcdf-cxx_4.3.0+ds.orig.tar.gz && \
    cd netcdf-cxx4-4.3.0 && \
    ./configure --disable-filter-testing && \
    make && \
    make install

Any suggestions to solve this? Regards,

spacelover1 commented 4 years ago

So I could finally build the engine successfully, I just wanted to post the changes I've made in Dockerfile that lead to the successful build:

Instead of RUN apt-get install -y libnetcdf-c++4-dev I put:

RUN wget http://archive.ubuntu.com/ubuntu/pool/universe/n/netcdf-cxx/netcdf-cxx_4.3.0+ds.orig.tar.gz && \
    tar xzf netcdf-cxx_4.3.0+ds.orig.tar.gz && \
    cd netcdf-cxx4-4.3.0 && \
    ./configure --disable-filter-testing && \
    make && \
    make install

and instead of ENV PATH=/opt/amazon/dsstne/bin/:${PATH} I used ENV PATH=/opt/amazon/dsstne/build/bin/:${PATH}

I also used Ubuntu 16.04 docker image. Hope this would be helpful.