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ColossalAI/examples/inference/stable_diffusion/run_benchmark.sh

43 lines
1.4 KiB

#!/bin/bash
models=("PixArt-alpha/PixArt-XL-2-1024-MS" "stabilityai/stable-diffusion-3-medium-diffusers")
parallelism=(1 2 4 8)
resolutions=(1024 2048 3840)
modes=("colossalai" "diffusers")
CUDA_VISIBLE_DEVICES_set_n_least_memory_usage() {
local n=${1:-"9999"}
echo "GPU Memory Usage:"
local FIRST_N_GPU_IDS=$(nvidia-smi --query-gpu=memory.used --format=csv \
| tail -n +2 \
| nl -v 0 \
| tee /dev/tty \
| sort -g -k 2 \
| awk '{print $1}' \
| head -n $n)
export CUDA_VISIBLE_DEVICES=$(echo $FIRST_N_GPU_IDS | sed 's/ /,/g')
echo "Now CUDA_VISIBLE_DEVICES is set to:"
echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
}
for model in "${models[@]}"; do
for p in "${parallelism[@]}"; do
for resolution in "${resolutions[@]}"; do
for mode in "${modes[@]}"; do
if [[ "$mode" == "colossalai" && "$p" == 1 ]]; then
continue
fi
if [[ "$mode" == "diffusers" && "$p" != 1 ]]; then
continue
fi
CUDA_VISIBLE_DEVICES_set_n_least_memory_usage $p
cmd="python examples/inference/stable_diffusion/benchmark_sd3.py -m \"$model\" -p $p --mode $mode --log -H $resolution -w $resolution"
echo "Executing: $cmd"
eval $cmd
done
done
done
done