Making large AI models cheaper, faster and more accessible
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pip install -r requirements.txt
# inference
python infer.py --model "test"
# train
torchrun --standalone --nproc_per_node 4 train.py \
--num_epoch 1 \
--model_name "test" \
--plugin "ep" \
--batch_size 1
torchrun --standalone --nproc_per_node 4 train.py \
--num_epoch 1 \
--model_name "test" \
--plugin "ep_zero" \
--batch_size 1 \
--zero_stage 1 \
--extra_dp_size 2 \
torchrun --standalone --nproc_per_node 4 train.py \
--num_epoch 1 \
--model_name "test" \
--plugin "ep_zero" \
--batch_size 1 \
--zero_stage 2 \
--extra_dp_size 2 \
torchrun --standalone --nproc_per_node 4 train.py \
--model_name "test" \
--plugin "hybrid" \
--num_epoch 1 \
--pp_size 2 \
--dp_size 1 \
--ep_size 2 \
--zero_stage 1 \
--batch_size 1