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#!/usr/bin/env bash
# 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}\"}"
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