4
0
mirror of https://github.com/nerfstudio-project/nerfstudio.git synced 2026-11-10 18:17:31 +08:00
nerfstudio/scripts/benchmarking/launch_eval_blender.sh
evonneng af58b32cc8
restructuring debugging tools doc (#647)
* not done; restrucutre debugging part;

* 1) fixed all developer guides 2) fixed first_nerf error 3) moved run_actions

* removed md
2022-10-04 09:43:11 -07:00

77 lines
2.2 KiB
Bash
Executable File

helpFunction_launch_eval()
{
echo "Usage: $0 -m method_name -o output_dir -t timestamp -g [OPTIONAL] gpu_list"
echo -e "\t-m name of method to benchmark (e.g. nerfacto, instant-ngp)"
echo -e "\t-o base directory for where all the benchmarks are stored (e.g. outputs/)"
echo -e "\t-t timstamp, if using launch_train_blender.sh will be of format %Y-%m-%d_%H%M%S"
echo -e "\t-g [OPTIONAL] list of space-separated gpu numbers to launch train on (e.g. 0 2 4 5)"
exit 1 # Exit program after printing help
}
while getopts "m:o:t:g" opt; do
case "$opt" in
m ) method_name="$OPTARG" ;;
o ) output_dir="$OPTARG" ;;
t ) timestamp="$OPTARG" ;;
g ) gpu_list="$OPTARG" ;;
? ) helpFunction_launch_eval ;;
esac
done
if [ -z "$method_name" ]; then
echo "Missing method name"
helpFunction_launch_eval
fi
if [ -z "$output_dir" ]; then
echo "Missing output directory location"
helpFunction_launch_eval
fi
if [ -z "$timestamp" ]; then
echo "Missing timestamp specification"
helpFunction_launch_eval
fi
shift $((OPTIND-1))
# Deal with gpu's. If passed in, use those.
GPU_IDX=("$@")
if [ -z "$GPU_IDX" ]; then
echo "no gpus set... finding available gpus"
# Find available devices
num_device=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l)
START=0
END=${num_device}-1
GPU_IDX=()
for (( id=$START; id<$END; id++ )); do
free_mem=$(nvidia-smi --query-gpu=memory.free --format=csv -i $id | grep -Eo [0-9]+)
if [[ $free_mem -gt 10000 ]]; then
GPU_IDX+=( $id )
fi
done
fi
echo available gpus... ${GPU_IDX[@]}
DATASETS=("mic" "ficus" "chair" "hotdog" "materials" "drums" "ship" "lego")
idx=0
len=${#GPU_IDX[@]}
((len=len-1))
for dataset in ${DATASETS[@]}; do
export CUDA_VISIBLE_DEVICES=${GPU_IDX[$idx]}
config_path="${output_dir}/blender_${dataset}_${timestamp::-7}/${method_name}/${timestamp}/config.yml"
ns-eval --load-config=${config_path} \
--output-path=${output_dir}/${method_name}/blender_${dataset}_${timestamp}.json &
echo "Launched ${config_path} on gpu ${GPU_IDX[$idx]}"
# update gpu
if [ $idx == $len ]; then
idx=0
else
((idx=idx+1))
fi
done