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# The port for communication. Note that if you want to run multiple tasks on the same machine, | |
# you need to specify different port numbers. | |
export MASTER_PORT=6091 | |
export CUDA_VISIBLE_DEVICES=4,5,6,7 | |
export GPUS_PER_NODE=4 | |
########################## Evaluate Refcoco ########################## | |
user_dir=../../ofa_module | |
bpe_dir=../../utils/BPE | |
selected_cols=0,4,2,3 | |
data=../../dataset/refcoco_data/refcoco_val.tsv | |
path=../../checkpoints/refcoco_base_best.pt | |
result_path=../../results/refcoco | |
split='refcoco_val' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |
data=../../dataset/refcoco_data/refcoco_testA.tsv | |
path=../../checkpoints/refcoco_base_best.pt | |
result_path=../../results/refcoco | |
split='refcoco_testA' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |
data=../../dataset/refcoco_data/refcoco_testB.tsv | |
path=../../checkpoints/refcoco_base_best.pt | |
result_path=../../results/refcoco | |
split='refcoco_testB' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |
######################### Evaluate Refcocoplus ########################## | |
data=../../dataset/refcocoplus_data/refcocoplus_val.tsv | |
path=../../checkpoints/refcocoplus_base_best.pt | |
result_path=../../results/refcocoplus | |
split='refcocoplus_val' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |
data=../../dataset/refcocoplus_data/refcocoplus_testA.tsv | |
path=../../checkpoints/refcocoplus_base_best.pt | |
result_path=../../results/refcocoplus | |
split='refcocoplus_testA' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |
data=../../dataset/refcocoplus_data/refcocoplus_testB.tsv | |
path=../../checkpoints/refcocoplus_base_best.pt | |
result_path=../../results/refcocoplus | |
split='refcocoplus_testB' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |
########################## Evaluate Refcocog ########################## | |
data=../../dataset/refcocog_data/refcocog_val.tsv | |
path=../../checkpoints/refcocog_base_best.pt | |
result_path=../../results/refcocog | |
split='refcocog_val' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |
data=../../dataset/refcocog_data/refcocog_test.tsv | |
path=../../checkpoints/refcocog_base_best.pt | |
result_path=../../results/refcocog | |
split='refcocog_test' | |
python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \ | |
${data} \ | |
--path=${path} \ | |
--user-dir=${user_dir} \ | |
--task=refcoco \ | |
--batch-size=16 \ | |
--log-format=simple --log-interval=10 \ | |
--seed=7 \ | |
--gen-subset=${split} \ | |
--results-path=${result_path} \ | |
--beam=5 \ | |
--min-len=4 \ | |
--max-len-a=0 \ | |
--max-len-b=4 \ | |
--no-repeat-ngram-size=3 \ | |
--fp16 \ | |
--num-workers=0 \ | |
--model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" | |