...
Train on MNIST with keras API:
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python3python ./mnist-demo.py |
Batch mode
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sbatch tf_sample.sb squeue |
Simple Example for Pytorch
Interactive mode
Get node for interactive use:
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srun --partition=debug --pty --nodes=1 --ntasks-per-node=8 --gres=gpu:v100:1 -t 01:30:00 --wait=0 --export=ALL /bin/bash |
Once on the compute node, load PowerAI module using one of these:
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module load ibm/powerai/1.6.0.py2 # for python2 environment
module load ibm/powerai/1.6.0.py3 # for python3 environment
module load ibm/powerai # python3 environment by default |
Install samples for Pytorch:
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pytorch-install-samples ~/pytorch-samples
cd ~/pytorch-samples |
Train on MNIST with Pytorch:
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python ./examples/mnist/main.py |
Batch mode
The same can be accomplished in batch mode using the following pytorch_sample.sb script:
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sbatch pytorch_sample.sb
squeue |