成功搭建TensorFlow；示例失败

Question

从源码构建TensorFlow成功后，第一个测试样例通过，第二个失败：

1) 第一次测试：OK

$ python
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print(sess.run(a + b))
42

2) 第二次测试：失败
测试文件：tensorflow/models/image/mnist/convolutional.py

$ sudo python convolutional.py
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcurand.so.8.0 locally
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
Extracting data/train-labels-idx1-ubyte.gz
Extracting data/t10k-images-idx3-ubyte.gz
Extracting data/t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
  File "convolutional.py", line 339, in <module>
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 44, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "convolutional.py", line 231, in main
    logits, train_labels_node))
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 1684, in sparse_softmax_cross_entropy_with_logits
    labels, logits)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 1533, in _ensure_xent_args
    "named arguments (labels=..., logits=..., ...)" % name)
ValueError: Only call `sparse_softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...)

由于convolutional.py 是安装指南中报告的测试之一，我希望它没问题。

我运行了项目目录中的所有测试，结果如下：

• MNIST：失败
• AlexNet：通过
• Cifar10：失败
• ImageNet：通过

我是否在构建中做错了什么，或者我在运行这些测试时做错了什么？

参考：https://www.tensorflow.org/get_started/os_setup
平台：Linux/Ubuntu 16.04，nVidia Quadro M6000，启用 CUDA。

Answer 1

来自Tensorflow web site：

请在 GitHub 上的 TensorFlow 问题跟踪器上报告错误、功能请求和安装/兼容性问题。

这似乎是一个安装问题，通过在 GitHub 上打开一个问题来处理更合适。