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Making large AI models cheaper, faster and more accessible
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ColossalAI/examples/language/palm/run.sh

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[examples] using args and combining two versions for PaLM (#2284)
2 years ago
# distplan in ["colossalai", "pytorch"]
export DISTPAN="colossalai"
# The following options only valid when DISTPAN="colossalai"
export TPDEGREE=1
[example] Modify palm example with the new booster API (#3913) * Modify torch version requirement to adapt torch 2.0 * modify palm example using new booster API * roll back * fix port * polish * polish
1 year ago
export GPUNUM=4
[examples] using args and combining two versions for PaLM (#2284)
2 years ago
export PLACEMENT='cpu'
export USE_SHARD_INIT=False
[example] Modify palm example with the new booster API (#3913) * Modify torch version requirement to adapt torch 2.0 * modify palm example using new booster API * roll back * fix port * polish * polish
1 year ago
export BATCH_SIZE=1
[examples] using args and combining two versions for PaLM (#2284)
2 years ago
[example] Modify palm example with the new booster API (#3913) * Modify torch version requirement to adapt torch 2.0 * modify palm example using new booster API * roll back * fix port * polish * polish
1 year ago
env OMP_NUM_THREADS=12 torchrun --standalone --nproc_per_node=${GPUNUM} --master_port 29501 train.py \
--dummy_data=True --tp_degree=${TPDEGREE} --batch_size=${BATCH_SIZE} --plugin='gemini' \
--placement ${PLACEMENT} --shardinit ${USE_SHARD_INIT} --distplan ${DISTPAN} 2>&1 | tee run.log