我是CNN（文本）的新手
我有2个ndarray，具有3个维度。
我想将元素train_input.shape[1] = 137更改为100。
但是，当我放置100而不是元素train_input.shape[1] = 137时，会出错。
如何操作？
from sklearn.model_selection import train_test_split
test_data_size = count_test
train_data_size = count_train
print(train_data_size,'',test_data_size)
train_input = title_vector_arr[0:train_data_size]
train_label = ctr_class_arr[0:train_data_size]
test_input = title_vector_arr[train_data_size:]
test_label = ctr_class_arr[train_data_size:]
train_input = np.array(train_input)
train_input = train_input.reshape(train_input.shape[0], #6307
train_input.shape[1], #137
VECTOR_SIZE) #300
test_input = np.array(test_input)
test_input = test_input.reshape(test_input.shape[0], #1000
test_input.shape[1], #137
VECTOR_SIZE) #300
train_input = np.array(train_input)
train_input = train_input.reshape(train_input.shape[0],100, VECTOR_SIZE)
test_input = np.array(test_input)
test_input = test_input.reshape(test_input.shape[0],100, VECTOR_SIZE)
---------------------------------------------------------------------------
MemoryError Traceback (most recent call last)
<ipython-input-63-d4d85efe9179> in <module>
----> 1 train_input = np.array(train_input)
2 train_input = train_input.reshape(train_input.shape[0],100, VECTOR_SIZE)
3 test_input = np.array(test_input)
4 test_input = test_input.reshape(test_input.shape[0],100, VECTOR_SIZE)
MemoryError: