带有张量流的鼻子测试：大量调试输出，如何禁用

Question

当我将nosetests 与一些带有 TensorFlow 的测试脚本一起使用时，我从 TensorFlow 中得到了很多调试输出：

az@azmacbookpro ~/P/crnn> nosetests tests/test_TFUtil.py 
Level 1:tensorflow:Registering FakeQuantWithMinMaxArgs (<function _FakeQuantWithMinMaxArgsGradient at 0x112306048>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x1126ba9d8>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x1126ba950>) in gradient.
...
Level 1:tensorflow:Registering Fact (<function _set_call_cpp_shape_fn.<locals>.call_without_requiring at 0x1122c0268>) in default shape functions.
Level 1:tensorflow:Registering TensorSummary (None) in gradient.
Level 1:tensorflow:Registering queue_runners ((<class 'tensorflow.core.protobuf.queue_runner_pb2.QueueRunnerDef'>, <function QueueRunner.to_proto at 0x1130687b8>, <function QueueRunner.from_proto at 0x113068840>)) in proto functions.
E
======================================================================
...
-------------------- >> begin captured logging << --------------------
tensorflow: Level 1: Registering FakeQuantWithMinMaxArgs (<function _FakeQuantWithMinMaxArgsGradient at 0x112306048>) in gradient.
tensorflow: Level 1: Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x1126ba9d8>) in gradient.
tensorflow: Level 1: Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x1126ba950>) in gradient.
...
tensorflow: Level 1: Registering queue_runners ((<class 'tensorflow.core.protobuf.queue_runner_pb2.QueueRunnerDef'>, <function QueueRunner.to_proto at 0x1130687b8>, <function QueueRunner.from_proto at 0x113068840>)) in proto functions.
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
...

TensorFlow 的详细调试输出在某些情况下可能有用，但很可能不适用于我的情况，或者至少绝对不是这个特定文件中的测试。

如何禁用它们？

Answer 1

我现在正在这样做：

import logging
logging.getLogger('tensorflow').disabled = True

Answer 2

你可以试试nosetests tests/test_TFUtil.py --nologcapture。

附：你能从测试文件中发布一些代码吗？谢谢。