BLSTM Encoder retreival issue about infersent HOT 7 CLOSED

/usr/local/lib/python2.7/dist-packages/torch/serialization.py:284: SourceChangeWarning: source code of class 'models.BLSTMEncoder' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
26126
Found 10694(/11704) words with glove vectors
Vocab size : 10694
Traceback (most recent call last):
  File "sentEmbed.py", line 19, in <module>
    embeddings = infersent.encode(sentences, tokenize=True)
  File "/home/ritvik/InferSent-master/encoder/models.py", line 209, in encode
    embeddings = np.vstack(embeddings)
  File "/usr/local/lib/python2.7/dist-packages/numpy/core/shape_base.py", line 237, in vstack
    return _nx.concatenate([atleast_2d(_m) for _m in tup], 0)
ValueError: all the input array dimensions except for the concatenation axis must match exactly

 File "/home/ritvik/InferSent-master/encoder/models.py", line 208, in encode
    print(batch.size())
TypeError: 'int' object is not callable

from random import randint
import numpy as np
import torch
GLOVE_PATH = '../dataset/GloVe/glove.840B.300d.txt'
infersent = torch.load('infersent.allnli.pickle')
infersent.set_glove_path(GLOVE_PATH)

sentences=[]
with open('/home/ritvik/train.data') as f:
	for line in f:
		line=line.strip()
		tabs=line.split('\t')
		sentences.append(tabs[2])
		sentences.append(tabs[3])

print sentences[:5]
infersent.build_vocab(sentences, tokenize=True)
embeddings = infersent.encode(sentences, tokenize=True)
print('nb sentences encoded : {0}'.format(len(embeddings)))