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ray_train.yaml
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ray_train.yaml
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resources:
accelerators: L4:2
memory: 64+
num_nodes: 2
workdir: .
setup: |
conda activate ray
if [ $? -ne 0 ]; then
conda create -n ray python=3.10 -y
conda activate ray
fi
pip install "ray[train]"
pip install tqdm
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
run: |
sudo chmod 777 -R /var/tmp
conda activate ray
head_ip=`echo "$SKYPILOT_NODE_IPS" | head -n1`
num_nodes=`echo "$SKYPILOT_NODE_IPS" | wc -l`
if [ "$SKYPILOT_NODE_RANK" == "0" ]; then
ps aux | grep ray | grep 6379 &> /dev/null || ray start --head --disable-usage-stats --port 6379
sleep 5
python train.py --num-workers $num_nodes
else
sleep 5
ps aux | grep ray | grep 6379 &> /dev/null || ray start --address $head_ip:6379 --disable-usage-stats
fi