【发布时间】:2016-03-17 08:26:44
【问题描述】:
我试图使用 mnist dataset 使用 Tensorflow 创建一个模型。 我已经正确安装了 Tensorflow,然后当我尝试使用命令创建模型时。
python convolutional.py
我在控制台上收到一条错误消息:
Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting data/train-images-idx3-ubyte.gz
Traceback (most recent call last):
File "convolutional.py", line 316, in <module>
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/default/_app.py", line 30, in run
sys.exit(main(sys.argv))
File "convolutional.py", line 128, in main
train_data = extract_data(train_data_filename, 60000)
File "convolutional.py", line 75, in extract_data
buf = bytestream.read(IMAGE_SIZE * IMAGE_SIZE * num_images)
File "/usr/lib/python2.7/gzip.py", line 261, in read
self._read(readsize)
File "/usr/lib/python2.7/gzip.py", line 312, in _read
uncompress = self.decompress.decompress(buf)
zlib.error: Error -3 while decompressing: invalid block type
我使用的是安装在 14.04 Ubuntu 操作系统中的 Python2.7。
【问题讨论】:
-
从命令行 (shell) 运行 gunzip data/train-images-idx3-ubyte.gz 时发生了什么?有用吗?
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@Yaron ,我执行了你提到的命令,即 sudo gunzip data/train-images-idx3-ubyte.gz ,我得到的消息是 gzip: data/train-images-idx3 -ubyte.gz: 无效压缩数据--违反格式。
标签: python python-2.7 tensorflow