mnist.py 文件源码

def load(batch_size, test_batch_size, n_labelled=None):
    filepath = '/tmp/mnist.pkl.gz'
    url = 'http://www.iro.umontreal.ca/~lisa/deep/data/mnist/mnist.pkl.gz'

    if not os.path.isfile(filepath):
        print "Couldn't find MNIST dataset in /tmp, downloading..."
        urllib.urlretrieve(url, filepath)

    with gzip.open('/tmp/mnist.pkl.gz', 'rb') as f:
        train_data, dev_data, test_data = pickle.load(f)

    return (
        mnist_generator(train_data, batch_size, n_labelled), 
        mnist_generator(dev_data, test_batch_size, n_labelled), 
        mnist_generator(test_data, test_batch_size, n_labelled)
    )