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#!/bin/bash | ||
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dev=1 # list CUDA devices to use | ||
logdir="logs" # log dir for storing checkpoints and metrics | ||
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mkdir -p $logdir | ||
CUDA_VISIBLE_DEVICES=$dev python scripts/train.py --conf examples/graph-network.yaml --dataset QM9 --dataset-root ~/data/qm9 --dataset-arg energy_U0 --log-dir $logdir --redirect true & | ||
echo "Starting training... (saving logs at $logdir/log)" |
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