tensorflow初學者教程 - read_data_sets失敗

Question

我試圖在Linux上運行tutorial。我安裝了gcc,cython,numpy,six。

我可以導入數據，但似乎有某種問題解壓縮它。

任何人都可以幫忙嗎？

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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 

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Answer 1

這似乎與numpy的最新版本的問題。 A recent change將單元素數組視爲標量用於索引的目的是錯誤的。

我已經做了相關的變化上游TensorFlow代碼，但在此期間，您可以編輯this line in input_data.py（L45）爲以下（在該行的末尾添加[0]）：

return numpy.frombuffer(bytestream.read(4), dtype=dt)[0]