The tensorflow python module - part 004.

If you using the tensorflow then you can get some warnings.
You can use warnings python package to manage all of this:

[mythcat@desk ~]$ $ python3
Python 3.5.2 (default, Jul 10 2019, 11:58:48)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import warnings
>>> import tensorflow as tf
/home/mythcat/.local/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: 
Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be 
understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/mythcat/.local/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: 
Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be 
understood as (type, (1,)) / '(1,)type'.
...

/home/mythcat/.local/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: 
FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of 
numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
>>>
>>> warnings.filterwarnings('ignore')
>>>
[7]+  Stopped                 python3

Use it in this way to filter these warnings:

[mythcat@desk ~]$ $ python3
Python 3.5.2 (default, Jul 10 2019, 11:58:48)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import warnings
>>> warnings.filterwarnings('ignore',category=FutureWarning)
>>> import tensorflow as tf
>>>