ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Awesome work!! I am really excited to dig into what you have going on. I really appreciate how well you document tf and offer docker builds with and without gpu.
I am having a problem building the gpu docker file. Of course it has to do with cuDNN. I am not sure why they make it so difficult to get a hold of that. Anyways, here is my last few lines of my docker build output:
sha256sum: WARNING: 1 computed checksum did NOT match
The command '/bin/sh -c CUDNN_DOWNLOAD_SUM=a87cb2df2e5e7cc0a05e266734e679ee1a2fadad6f06af82a76ed81a23b102c8 && curl -fsSL http://developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-linux-x64-v5.1.tgz -O && echo "$CUDNN_DOWNLOAD_SUM cudnn-8.0-linux-x64-v5.1.tgz" | sha256sum -c --strict - && tar -xzf cudnn-8.0-linux-x64-v5.1.tgz -C /usr/local --wildcards 'cuda/lib64/libcudnn.so.*' && rm cudnn-8.0-linux-x64-v5.1.tgz && ldconfig && ln -s /usr/local/cuda/lib64/libcudnn.so.5 /usr/local/cuda/lib64/libcudnn.so' returned a non-zero code: 1
Maybe you want to use the caffe:0.15 base image (#71) to avoid the problem? I think they are different between ubuntu 14 and 16.
Hey @pkmital,
Awesome work!! I am really excited to dig into what you have going on. I really appreciate how well you document tf and offer docker builds with and without gpu.
I am having a problem building the gpu docker file. Of course it has to do with cuDNN. I am not sure why they make it so difficult to get a hold of that. Anyways, here is my last few lines of my docker build output:
Maybe you want to use the caffe:0.15 base image (#71) to avoid the problem? I think they are different between ubuntu 14 and 16.