La-La-La

D:\Anaconda\envs\vp12\lib\site-packages\torch\nn\modules\rnn.py:51: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.5 and num_layers=1 "num_layers={}".format(dropout, num_layers)) D:\Anaconda\envs\vp12\lib\site-packages\torch\nn\_reduction.py:43: UserWarning: size_average...

When I tried to run evaluatie.py it reported the function incorrectly

2

(rmn) E:\video_caption\rmn\RMN-master>python evaluate.py --dataset=msvd --model=RMN --result_dir=results/msvd_model --attention=gumbel --use_loc --use_rel --use_func --hidden_size=512 --att_size=512 --test_batch_size=2 --beam_size= 2 --eval_metric=CIDEr 335it [01:21, 4.13it/s] init COCO-EVAL scorer tokenization... Traceback (most recent call last): File "evaluate.py",...

Hello dear author: When I test the method you gave, why does the model still retrain?