ValueError：连接轴的所有输入数组维度必须完全匹配

Question

 import pandas as pd
 import numpy as np
 import spacy
 from tqdm import tqdm

 import re
 import time
 import pickle

 pd.set_option('display.max_colwidth', 200)
 train = pd.read_csv("/content/drive/MyDrive/constraint_Hindi_Train - Sheet1.csv")
 test = pd.read_csv("/content/drive/MyDrive/Test Set - test.csv")
 train.head()

import tensorflow_hub as hub
import tensorflow as tf
pip install tensorflow-hub

elmo = hub.load("https://tfhub.dev/google/elmo/2")

def elmo_vectors(x):
  return (elmo.signatures["default"](tf.constant(x.tolist()))["elmo"])

  with tf.compat.v1.Session() as sess:
    sess.run(tf.compat.v1.global_variables_initializer())
    sess.run(tf.compat.v1.tables_initializer())
    return sess.run(tf.reduce_mean(embeddings,1))


list_train = [train[i:i+100] for i in range(0,train.shape[0],100)]

list_test = [test[i:i+100] for i in range(0,test.shape[0],100)]


elmo_train = [elmo_vectors(x['Post']) for x in list_train]
elmo_test = [elmo_vectors(x['Post']) for x in list_test]

elmo_train_new = np.concatenate(elmo_train, axis = 0)
elmo_test_new = np.concatenate(elmo_test, axis = 0)`

当我执行代码以获取句子的特征时，我得到一个错误：

value error:all the input array dimensions for the concatenation axis 
must match exactly, but along dimension 1, the array at index 0 has 
size 178 and the array at index 1 has size 67. 

先谢谢你