File size: 1,398 Bytes
dc71c15 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
set -x
EVAL_DATA_DIR=eval
OUTPUT_DIR=eval_output
CKPT=DAMO-NLP-SG/VideoLLaMA2-7B
CKPT_NAME=$(echo $CKPT | rev | cut -d'/' -f1 | rev)
gpu_list="${CUDA_VISIBLE_DEVICES:-0}"
IFS=',' read -ra GPULIST <<< "$gpu_list"
# divide data via the number of GPUs per task
GPUS_PER_TASK=1
CHUNKS=$((${#GPULIST[@]}/$GPUS_PER_TASK))
output_file=${OUTPUT_DIR}/egoschema/answers/${CKPT_NAME}/merge.csv
if [ ! -f "$output_file" ]; then
for IDX in $(seq 0 $((CHUNKS-1))); do
# select the GPUs for the task
gpu_devices=$(IFS=,; echo "${GPULIST[*]:$(($IDX*$GPUS_PER_TASK)):$GPUS_PER_TASK}")
TRANSFORMERS_OFFLINE=1 CUDA_VISIBLE_DEVICES=${gpu_devices} python3 videollama2/eval/inference_video_mcqa_egoschema.py \
--model-path ${CKPT} \
--video-folder ${EVAL_DATA_DIR}/egoschema/good_clips_git \
--question-file ${EVAL_DATA_DIR}/egoschema/questions.json \
--answer-file ${OUTPUT_DIR}/egoschema/answers/${CKPT_NAME}/${CHUNKS}_${IDX}.csv \
--num-chunks $CHUNKS \
--chunk-idx $IDX &
done
wait
# Clear out the output file if it exists.
> "$output_file"
echo 'q_uid, answer' >> "$output_file"
# Loop through the indices and concatenate each file.
for IDX in $(seq 0 $((CHUNKS-1))); do
cat ${OUTPUT_DIR}/egoschema/answers/${CKPT_NAME}/${CHUNKS}_${IDX}.csv >> "$output_file"
done
fi |