关闭Tensorflow调试信息开关

通过调试信息，我指的是TensorFlow在我的终端中显示的关于加载的库和找到的设备等的信息，而不是Python错误。

I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:900] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties: 
name: Graphics Device
major: 5 minor: 2 memoryClockRate (GHz) 1.0885
pciBusID 0000:04:00.0
Total memory: 12.00GiB
Free memory: 11.83GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0:   Y 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:717] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Graphics Device, pci bus id: 0000:04:00.0)
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:51] Creating bin of max chunk size 1.0KiB
...

当前回答

可以通过os关闭所有调试日志。环境:

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 
import tensorflow as tf

在tf 0.12和1.0上测试

在细节,

0 = all messages are logged (default behavior)
1 = INFO messages are not printed
2 = INFO and WARNING messages are not printed
3 = INFO, WARNING, and ERROR messages are not printed

2017-02-08 19:23:32

其他回答

我用这篇文章解决了无法删除所有警告#27045，解决方案是:

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

2019-07-31 15:58:54

可以通过os关闭所有调试日志。环境:

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 
import tensorflow as tf

在tf 0.12和1.0上测试

在细节,

0 = all messages are logged (default behavior)
1 = INFO messages are not printed
2 = INFO and WARNING messages are not printed
3 = INFO, WARNING, and ERROR messages are not printed

2017-02-08 19:23:32

是的，我正在使用tf 2.0 beta，并想启用/禁用默认日志记录。tf1中的环境变量和方法。X似乎不再存在了。

我在PDB中发现了这个方法:

# close the TF2 logger
tf2logger = tf.get_logger()
tf2logger.error('Close TF2 logger handlers')
tf2logger.root.removeHandler(tf2logger.root.handlers[0])

然后添加自己的日志记录器API(在本例中是基于文件的)

logtf = logging.getLogger('DST')
logtf.setLevel(logging.DEBUG)

# file handler
logfile='/tmp/tf_s.log'
fh = logging.FileHandler(logfile)
fh.setFormatter( logging.Formatter('fh %(asctime)s %(name)s %(filename)s:%(lineno)d :%(message)s') )
logtf.addHandler(fh)
logtf.info('writing to %s', logfile)

2019-08-12 18:35:52

对于tensorflow 2.1.0，以下代码运行正常。

import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)

2020-02-03 19:05:38

我使用的是Tensorflow 2.3.1版本，上面的解决方案都没有完全有效。直到我找到这个包裹。

像这样安装:

水蟒,

python -m pip install silence-tensorflow

ide,

pip install silence-tensorflow

并在第一行代码中添加:

from silence_tensorflow import silence_tensorflow
silence_tensorflow()

就是这样!

2020-12-09 10:38:08

关闭Tensorflow调试信息开关

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