Quickstart example throws warnings

The quickstart example throws some warnings:

WARNING:tensorflow:From /path/to/stable-baselines/stable_baselines/common/policies.py:436: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
WARNING:tensorflow:From /usr/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /usr/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /usr/lib/python3.7/site-packages/tensorflow/python/ops/math_grad.py:102: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Deprecated in favor of operator or tf.math.divide.

stable-baselines is installed from git commit 0eac3f5.

Here is the information collected by tf_env_collect.sh that seems relevant:

== uname -a =====================================================
Linux thamiel 4.19.34-1-MANJARO #1 SMP PREEMPT Sat Apr 6 08:28:55 UTC 2019 x86_64 GNU/Linux

== check pips ===================================================
numpy                             1.16.2    
protobuf                          3.7.0     
tensorflow                        1.13.1    
tensorflow-estimator              1.13.0    
tensorflow-serving-api            1.13.0    
tensorflow-serving-api-gpu        1.13.0

Also:

$ python --version
Python 3.7.3

[nicola-pesavento]

For removing the Tensorflow’s deprecation warnings it’s possible to use the following code too:

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

(Source: https://github.com/tensorflow/tensorflow/issues/27023#issuecomment-523710266 )

[araffin]

as we are moving to PyTorch, this will probably not be fixed. However, to remove the warnings, one can do:

# Filter tensorflow version warnings
import os
# https://stackoverflow.com/questions/40426502/is-there-a-way-to-suppress-the-messages-tensorflow-prints/40426709
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # or any {'0', '1', '2'}
import warnings
# https://stackoverflow.com/questions/15777951/how-to-suppress-pandas-future-warning
warnings.simplefilter(action='ignore', category=FutureWarning)
warnings.simplefilter(action='ignore', category=Warning)
import tensorflow as tf
tf.get_logger().setLevel('INFO')
tf.autograph.set_verbosity(0)
import logging
tf.get_logger().setLevel(logging.ERROR)