#!/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=1091

user_dir=../../ofa_module
bpe_dir=../../utils/BPE

data=../../dataset/caption_data/ocr_scene_test.tsv
path=../../checkpoints/ofa_cn_ocr_base.pt
result_path=../../results/ocr
selected_cols=0,1,2
split='test'

CUDA_VISIBLE_DEVICES=0,1,2,3 python3 -m torch.distributed.launch --nproc_per_node=4 --master_port=${MASTER_PORT} ../../evaluate.py \
    ${data} \
    --path=${path} \
    --user-dir=${user_dir} \
    --task=ocr \
    --batch-size=16 \
    --log-format=simple --log-interval=10 \
    --seed=7 \
    --gen-subset=${split} \
    --results-path=${result_path} \
    --beam=5 \
    --max-len-b=64 \
    --no-repeat-ngram-size=0 \
    --fp16 \
    --num-workers=0 \
    --model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\",\"resnet_model_path\":None}"