error in eval.py : BrokenPipeError: [Errno 32] Broken pipe

[fikarchamiiiim]

vocab size is 183 number of train videos: 8 number of val videos: 1 number of test videos: 1 ['data/feats/resnet152/data/train-video'] load feats from ['data/feats/resnet152/data/train-video'] max sequence length in data is 28 /home/chamim/SkripsiP3/lib/python3.6/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)) /home/chamim/SkripsiP3/lib/python3.6/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. warnings.warn(warning.format(ret)) init COCO-EVAL scorer eval.py:34: FutureWarning: pandas.io.json.json_normalize is deprecated, use pandas.json_normalize instead json.load(open(opt["input_json"]))['sentences']) /home/chamim/SkripsiP3/lib/python3.6/site-packages/torch/nn/functional.py:1339: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead. warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.") Traceback (most recent call last): File "eval.py", line 122, in main(opt) File "eval.py", line 91, in main test(model, crit, dataset, dataset.get_vocab(), opt) File "eval.py", line 57, in test valid_score = scorer.score(gts, samples, samples.keys()) File "/home/chamim/SkripsiP3/skripsi/video captioning/misc/cocoeval.py", line 88, in score score, scores = scorer.compute_score(gts, res) File "coco-caption/pycocoevalcap/meteor/meteor.py", line 41, in compute_score self.meteor_p.stdin.flush() BrokenPipeError: [Errno 32] Broken pipe

please help me :( when I did an evaluation with eval.py, an error occurred BrokenPipeError: [Errno 32] Broken pipe, is there anything I need to fix? thank you

[HaiyiMei]

Maybe this issue will help you :) url

[fikarchamiiiim]

Thankyou @HaiyiMei

[Sciroccogti]

I ran into this error as well, and I fixed it by directly running the java command in the meteor.py:

java -jar -Xms2G path/to/meteor-1.5.jar -stdio -l en -norm

And it told me that the paraphrase-en.gz is not found, so copy the file to the data dir fixed my error.

I hope this can help someone.