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<unikey>@login$ qsub -I -P <project> qsub: waiting for job 466227.pbstraining to start qsub: job 466227.pbstraining ready <unikey>@hpc213 ~$ cd /project/<project> <unikey>@hpc213 <project>$ module load python/3.87.27 cuda/10.2.89 openmpi-gcc/4.1.1 <unikey>@hpc213 <project>$ virtualenv --system-site-packages /project/<project>/tf <unikey>@hpc213 <project>$ source tf/bin/activate (tf) <unikey>@hpc213 <project>$ pip install -U /usr/local/tensorflow/v100/cuda10.2/tensorflow-2.7.0-cp38cp37-cp38cp37-linux_x86_64.whl |
There are severl combinations of python and tensorflow version you can install. See available versions of Tensorflow by executing:
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You can optionally install most other packages as normal (an interactive job is recommended though). For example, to install/upgrade Keras, run:
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