python pickle UnicodeDecodeError

python pickle UnicodeDecodeError,python,pickle,mnist,Python,Pickle,Mnist,我正在尝试加载mnist字符数据集(遵循此处概述的教程:) 当我运行load\u data\u包装函数时,我得到了错误 UnicodeDecodeError: 'ascii' codec can't decode byte 0x90 in position 614: ordinal not in range(128) 运行的代码是: import numpy as np import gzip def load_data(): f = gzip.open('../data/mnis

我正在尝试加载mnist字符数据集(遵循此处概述的教程:)

当我运行load\u data\u包装函数时,我得到了错误

UnicodeDecodeError: 'ascii' codec can't decode byte 0x90 in position 614: ordinal not in range(128)
运行的代码是:

import numpy as np
import gzip


def load_data():
    f = gzip.open('../data/mnist.pkl.gz', 'rb')
    training_data, validation_data, test_data = pickle.load(f)
    f.close()
    return (training_data, validation_data, test_data)

def load_data_wrapper():
    tr_d, va_d, te_d = load_data()
    training_inputs = [np.reshape(x, (784,1)) for x in tr_d[0]]
    training_results = [vectorized_result(y) for y in tr_d[1]]
    training_data = zip(training_inputs, training_results)
    validation_inputs = [np.reshape(x,(784, 1))for x in va_d[0]]
    validation_data = zip(validation_inputs, va_d[1])
    test_inputs = [np.reshape(x, (784, 1)) for x in te_d[0]]
    test_data = zip(test_inputs, te_d[1])
    return(training_data, validation_data, test_data)

def vectorized_result(j):
    e = np.zeros((10,1))
    e[j] = 1.0
    return e

更新:问题似乎是我试图用Python2.x修改过的Python3.6解压

如前所述,主要问题是Python2.xCpickle和Python3.xPickle之间的不兼容

将编码设置为“latin-1”似乎有效

training_data, validation_data, test_data = pickle.load(f, encoding='latin1')
这里的答案帮助很大:

您可以尝试以下方法:

  import chainer  
  train, test = chainer.datasets.get_mnist(ndim=1)