我正在尝试运行 tutorial在 Linux 上。我安装了gcc、cython、numpy、six。
我可以导入数据，但解包时似乎出现了某种问题。
有人可以帮忙吗？
Python 2.7.3 (default, Jun 22 2015, 19:43:34)
[GCC 4.6.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import g3doc.tutorials.mnist.input_data as input_data
>>> mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Extracting MNIST_data/train-images-idx3-ubyte.gz
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "g3doc/tutorials/mnist/input_data.py", line 175, in read_data_sets
train_images = extract_images(local_file)
File "g3doc/tutorials/mnist/input_data.py", line 60, in extract_images
buf = bytestream.read(rows * cols * num_images)
File "/usr/lib/python2.7/gzip.py", line 263, in read
chunk = self.extrabuf[offset: offset + size]
TypeError: only integer scalar arrays can be converted to a scalar index
>>> mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
Extracting MNIST_data/train-images-idx3-ubyte.gz
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "g3doc/tutorials/mnist/input_data.py", line 175, in read_data_sets
train_images = extract_images(local_file)
File "g3doc/tutorials/mnist/input_data.py", line 60, in extract_images
buf = bytestream.read(rows * cols * num_images)
File "/usr/lib/python2.7/gzip.py", line 263, in read
chunk = self.extrabuf\[offset: offset + size]
TypeError: only integer scalar arrays can be converted to a scalar index
请您参考如下方法:
这似乎是最新版本的 Numpy 的问题。 recent change出于索引目的将单元素数组视为标量是错误的。
我已经对上游 TensorFlow 代码进行了相关更改，但与此同时您可以编辑 this line in input_data.py (L45) 如下(在行尾添加 [0]):
return numpy.frombuffer(bytestream.read(4), dtype=dt)[0]
