python - Is there a way to suppress the messages TensorFlow prints?

Question

I think that those messages are really important for the first few times but then it is just useless. It is actually making things worse to read and debug.

I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so.8.0 locally I tensorflow/stream_executor/dso_loader.cc:119] Couldn't open CUDA library libcudnn.so. LD_LIBRARY_PATH: I tensorflow/stream_executor/cuda/cuda_dnn.cc:3459] Unable to load cuDNN DSO I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so.8.0 locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so.8.0 locally

Is there a way to suppress the ones that just say it was successful?

Answer 1

UPDATE (beyond 1.14): see my more thorough answer here (this is a dupe question anyway): https://stackoverflow.com/a/38645250/6557588

In addition to Wintro's answer, you can also disable/suppress TensorFlow logs from the C side (i.e. the uglier ones starting with single characters: I, E, etc.); the issue open regarding logging has been updated to state that you can now control logging via an environmental variable. You can now change the level by setting the environmental variable called TF_CPP_MIN_LOG_LEVEL; it defaults to 0 (all logs shown), but can be set to 1 to filter out INFO logs, 2 to additionally filter out WARNING logs, and 3 to additionally filter out ERROR logs. It appears to be in master now, and will likely be a part of future version (i.e. versions after r0.11). See this page for more information. Here is an example of changing the verbosity using Python:

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # or any {'0', '1', '2'}
import tensorflow as tf

You can set this environmental variable in the environment that you run your script in. For example, with bash this can be in the file ~/.bashrc, /etc/environment, /etc/profile, or in the actual shell as:

TF_CPP_MIN_LOG_LEVEL=2 python my_tf_script.py