帶有TensorFlow后端的Keras --- MemoryError

Question

我試圖按照本教程學習一些有關keras的深度學習的知識，但是我不斷收到MemoryError。 您能否指出是什么原因造成的，以及如何處理？

這是代碼：

import numpy as np
from keras import models, regularizers, layers
from keras.datasets import imdb

(train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)

def vectorize_sequences(sequences, dimension=10000):
    results = np.zeros((len(sequences), dimension))
    for i, sequence in enumerate(sequences):
        results[i, sequence] = 1.
    return results


x_train = vectorize_sequences(train_data)

這是回溯（行號與上述代碼中的行號不匹配）

Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "/home/uttam/pycharm-2018.2.4/helpers/pydev/_pydev_bundle/pydev_umd.py", line 197, in runfile
    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
  File "/home/uttam/pycharm-2018.2.4/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "/home/uttam/PycharmProjects/IMDB/imdb.py", line 33, in <module>
    x_train = vectorize_sequences(train_data)
  File "/home/uttam/PycharmProjects/IMDB/imdb.py", line 27, in vectorize_sequences
    results = np.zeros((len(sequences), dimension))
MemoryError

Answer 1

是的，你是對的。 這個問題確實是由vectorize_sequences引起的。

您應該分批執行該邏輯（使用諸如partial_x_train類的切片數據）或使用生成器（ 此處是一個很好的說明和示例）。

我希望這有幫助 ：）