tensorflow的鼻子测试:大量调试输出，如何禁用 [英] nosetests with tensorflow: lots of debugging output, how to disable

问题描述

当我在TensorFlow的某些测试脚本中使用nosetests时，我从TensorFlow获得了很多调试输出:

When I use nosetests with some test scripts with TensorFlow, I get's lots of debugging output from TensorFlow:

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很有用，但对于我的情况可能非常有用，或者至少绝对不是该特定文件中的测试.

That verbose debug output from TensorFlow might be useful in some case but very probably not for my cases, or at least definitely not the tests in this specific file.

如何禁用它们?

推荐答案

我现在正在这样做:

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

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