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当我尝试执行从 PyPI 安装的 NiftyNet 的快速入门说明时，运行 net_segment 时出现以下错误：

net_segment inference -c ~/niftynet/extensions/dense_vnet_abdominal_ct/config.ini 
WARNING:tensorflow:SimpleITK adapter failed to load, reducing the supported file formats.
Traceback (most recent call last):
  File "/usr/local/bin/net_segment", line 11, in <module>
    sys.exit(main())
  File "/usr/local/lib/python2.7/dist-packages/niftynet/__init__.py", line 51, in main
    set_logger()
  File "/usr/local/lib/python2.7/dist-packages/niftynet/io/misc_io.py", line 585, in set_logger
    tf.logging._logger.handlers = []
AttributeError: 'module' object has no attribute '_logger'

我已经在 Linux Mint 18.3 安装（这个）以及带有 SimpleITK 的 Arch Linux 安装上尝试过这个。

这是从安装了 SimpleITK 的 AUR 安装 NiftyNet 的 Arch Linux 上的相同错误。

net_segment inference -c ~/niftynet/extensions/dense_vnet_abdominal_ct/config.ini
Traceback (most recent call last):
  File "/usr/bin/net_segment", line 11, in <module>
    load_entry_point('NiftyNet==0.2.2', 'console_scripts', 'net_segment')()
  File "/usr/lib/python3.6/site-packages/niftynet/__init__.py", line 51, in main
    set_logger()
  File "/usr/lib/python3.6/site-packages/niftynet/io/misc_io.py", line 585, in set_logger
    tf.logging._logger.handlers = []
AttributeError: module 'tensorflow.tools.api.generator.api.logging' has no attribute '_logger'

通过将 TensorFlow 降级到 1.7 版解决。

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1 回答 1

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正如您所发现的，NiftyNet 还不支持 TF 1.8。

于 2018-06-27T16:27:43.467 回答