![]() ![]() Even if you face the problem, Check your anaconda/lib folder, run ll libomp, do you see some old libiomp5.dylib file Remove it. The fact is, since we are running everything within the “py27” conda environment, it is suggested that you install any new python 2.7 packages also within this environment, e.g. conda install -c anaconda tensorflow python -m ipykernel install -user -nametf2 Run the model again and see if it is working. If you now launch jupyter notebook from your terminal, you shall be able to see this “Python2.7” kernel right below the original one, usually named “Python 3”.Īlthough we’ve finished creating the python 2.7 kernel, there’s still something to carry in one’s mind. Where we name the new python 2.7 kernel as “Python2.7”, which again can be named differently. (py27) python -m ipykernel install -name Python2.7 2) In that folder, open up file kernel.json and edit option 'displayname'. ![]() Where we name the new environment as “py27”. 1) Use jupyter kernelspec list to see the folder the kernel is located in. In this post, I tried to answer once and for all the perennial question, how do I install Python packages in the Jupyter notebook. ![]() We need, of course, a brand new python 2.7 installed. In that case, the scripts would be conda uninstall setuptools In case of error concerning setuptools, you may reinstall it before the update. It can be tricky when someone asks you to use Python 2.7 in a jupyter notebook nowadays, but not impossible: Up-to-Date Anacondaīefore we start installing anything, let’s update anaconda. I go ahead and include the g for groups since there may be files currently set at rw-r-r- and without it, we'd have rw-r-rw- which is odd.Adding a Python 2.7 Kernel in Jupyter - Allen's Whiteboard I believe a statement like the following would be sufficient: chmod -R go+wX /home/jovyan. As a result, I believe we should make all directories executable and all files writable for others. This won't affect the HOME setting, but it does affect the effective UID. ![]() I think we're going to need to change the permissions on /home/jovyan (and below) in order to properly support user's wishing to run their pods as a different UID (including pip install -user.So this would be a great example of the kinds of things people would need to deal with. Although we no longer publish the gpu image (there are some licensing concerns relative to CUDA that we're looking into), we do use this as an example for how to build a custom kernel image that is not built from a jupyter docker-stacks image. When you do make the changes to the Dockerfile for the gpu image, could you also make the same changes to the docs. - thank you for the update - I don't think this is time-sensitive. ![]()
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