Quickstart example throws warnings

[dniku]

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

[araffin]

Hello,
Thanks for pointing out deprecation warnings, some of them seem easy to solve (cast, divide), for others, we need to be careful or to upgrade the minimum tf version.

And for this one 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: I don't where it does come from...

[araffin]

Looking at the warnings again, they may come from tensorflow itself... see tensorflow/tensorflow#25996
so there is no way of fixing them from stable-baselines repo.

[araffin]

Will be closed by #366

[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)

[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: tensorflow/tensorflow#27023 (comment) )