the mismatch error happened when using the pretarined model you provide. about rmn HOT 5 CLOSED

Sorry, I can not reproduce your errors, you can check the tensors' sizes step by step (5200 is a strange number). The training of the model is not very stable, so the final result of MSVD in the paper is an average of three models' results.

from rmn.

thanks for your tips
i try to reproduce the project again using another machine but the same error is reported
the error i met before

i attempt to debug the evaluate.py according to your suggestions
the strange number 5200 occurs as follows:

the errors may be caused by the parameters' size inside the bi_lstm
so could you show the screenshot pictures just like the same with the second pictures i uploaded when you run the evaluate.py in debug mode.
it confused me a lot and i do want to find out the reason.
and i argue that the core problem still is that the net structure is incompitable with the msvd checkpoint files.
thank you for your kindly and generous help again!

from rmn.

make sure you didn't change the size parameter in utils.opt.py, and run with the following command:
python evaluate.py --dataset=msvd --model=RMN --result_dir=results/msvd_model --use_loc --use_rel --use_func --hidden_size=512 --att_size=1024 --test_batch_size=2 --beam_size=2 --eval_metric=CIDEr

And I tried to output the size as you did, but I didn't find anything wrong:

from rmn.

Note that the hidden size for msvd is 512 as mentioned in the paper.

from rmn.

Ooops... i got it wrong and you found it!
the hidden size parameter set in my run command, 1000 for msr-vtt, did not replaced by 512 for msvd.
u're so cool & nice.
thanks a lot for your timely help and reply! : )

from rmn.