Update kernel_issue_fix.md
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# How to fix notebook's "kernel issues" on DICE
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Some of the people in mlpractical have been affected by a recent update to the numpy and numercial
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library pushed to DICE last week. The symptom was restarting notebook kernel when someone
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tried to run the exercise involving numpy usage.
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library pushed to DICE last week. It concerns you when you get the message about the kernel was restarted when running code involving numpy usage.
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The reason of this most likely affected people who either 1) ended up with
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default atlas libraries (which has been updated in the meantime) or 2) re-compiled
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numpy with new DICE OpenBLAS already available, but LD_LIBRARY_PATH pointed to the
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version compiled last time - which could introduce some unexepcted behaviours.
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In case you experience those issues you either 1) ended up with
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default atlas libraries (which have been updated in the meantime) or 2) re-compiled
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numpy with the new DICE OpenBLAS already available, but LD_LIBRARY_PATH you set last week put
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priority to load OpenBLAS libraries compiled last time - which could introduce some unexepcted behaviour at runtime.
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## Fix
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## The Fix
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Follow the below setps **before** you activate the old virtual environment. The fix
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basically involves rebuilding the virtual environments. But the whole process is now
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much simpler (due to the fact OpenBLAS is now a deafult numerical library on DICE).
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Follow the below stdps **before** you activate the old virtual environment (or deactivate it once activated). The fix
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basically involves rebuilding the virtual environments. But the whole process is now much simpler due to the fact OpenBLAS is now a deafult numerical library on DICE.
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1) Comment out (or remove) `export=$LD_LIBRARY_PATH...` line in your ~/.bashrc script. Then type
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`unset LD_LIBRARY_PATH` in the terminal. To make sure this variable is not
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@ -45,4 +43,4 @@ If they run, you can simply modify `activate_mlp` alias in `./bashrc`to point to
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`venv2` instead of `venv`
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5) You can also remove both the old `venv` and other not needed anymore
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directories with numpy and OpenBLAS sources in `~/mlpractical/repos-3rd` directory.
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directories with numpy and OpenBLAS sources in `~/mlpractical/repos-3rd` directory.
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