Purdue University

Cannot use pip after loading ml-toolkit modules

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Pip throws an error after loading the machine learning modules. How can I fix it?

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Machine learning modules (tensorflow, pytorch, opencv etc.) include a version of pip that is newer than the one installed with Anaconda. As a result it will throw an error when you try to use it.

$ pip --version
Traceback (most recent call last):
  File "/apps/cent7/anaconda/5.1.0-py36/bin/pip", line 7, in <module>
    from pip import main
ImportError: cannot import name 'main'

The preferred way to use pip with the machine learning modules is to invoke it via Python as shown below.

$ python -m pip --version

How can I get access to Sentaurus software?

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How can I get access to Sentaurus tools for micro- and nano-electronics design?

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Sentaurus software license requires a signed NDA. Please contact Dr. Mark Johnson, Director of ECE Instructional Laboratories to complete the process.

Once the licensing process is complete and you have been added into a cae2 Unix group, you could use Sentaurus on RCAC community clusters by loading the corresponding environment module:

module load sentaurus

Julia package installation

Users do not have write permission to the default julia package installation destination. However, users can install packages into home directory under ~/.julia.

Users can side step this by explicitly defining where to put julia packages:

$ export JULIA_DEPOT_PATH=$HOME/.julia
$ julia -e 'using Pkg; Pkg.add("PackageName")'