nvlabs-sana / scripts /infer_run_inference_geneval_diffusers.sh
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#!/bin/bash
# ================= sampler & data =================
np=8 # number of GPU to use
default_step=20 # 14
default_sample_nums=533
default_sampling_algo="dpm-solver"
default_add_label=''
# parser
config_file=$1
model_paths=$2
for arg in "$@"
do
case $arg in
--step=*)
step="${arg#*=}"
shift
;;
--sampling_algo=*)
sampling_algo="${arg#*=}"
shift
;;
--add_label=*)
add_label="${arg#*=}"
shift
;;
--model_path=*)
model_paths="${arg#*=}"
shift
;;
--exist_time_prefix=*)
exist_time_prefix="${arg#*=}"
shift
;;
--if_save_dirname=*)
if_save_dirname="${arg#*=}"
shift
;;
*)
;;
esac
done
sample_nums=$default_sample_nums
samples_per_gpu=$((sample_nums / np))
add_label=${add_label:-$default_add_label}
echo "Sample numbers: $sample_nums"
echo "Add label: $add_label"
echo "Exist time prefix: $exist_time_prefix"
cmd_template="DPM_TQDM=True python scripts/inference_geneval_diffusers.py \
--model_path=$model_paths \
--gpu_id {gpu_id} --start_index {start_index} --end_index {end_index}"
if [ -n "${add_label}" ]; then
cmd_template="${cmd_template} --add_label ${add_label}"
fi
echo "==================== inferencing ===================="
for gpu_id in $(seq 0 $((np - 1))); do
start_index=$((gpu_id * samples_per_gpu))
end_index=$((start_index + samples_per_gpu))
if [ $gpu_id -eq $((np - 1)) ]; then
end_index=$sample_nums
fi
cmd="${cmd_template//\{config_file\}/$config_file}"
cmd="${cmd//\{model_path\}/$model_paths}"
cmd="${cmd//\{gpu_id\}/$gpu_id}"
cmd="${cmd//\{start_index\}/$start_index}"
cmd="${cmd//\{end_index\}/$end_index}"
echo "Running on GPU $gpu_id: samples $start_index to $end_index"
eval CUDA_VISIBLE_DEVICES=$gpu_id $cmd &
done
wait
echo infer finally done