After updating my Numpy
and Tensorflow
I am getting these kind of warnings. I had already tried these, but nothing works, every suggestion will be
I had tried with these and it had solved same problem for me , just put these at top of your code
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"]="3"
You could upgrade h5py
pip install --upgrade h5py
Previously i was getting same error , i just had used warnings() module . I had used these code after your all imports,
import warnings
warnings.filterwarnings('ignore', '.*do not.*',)
This might or might not be your case, but the same warning is also spit out from h5py
package:
/home/user/bin/conda3/lib/python3.6/site-packages/h5py/__init__.py:34
: FutureWarning: Conversion of the second argument of issubdtype fromfloat
tonp.floating
is deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type
. from ._conv import register_converters as _register_converters
For anyone coming here with this problem, it is a known h5py issue, introduced with numpy 1.14. As stated by the devs:
You can ignore the warning, it's not going to cause any issues at the moment, but you should upgrade to the next release of h5py when it becomes available.
... so it's harmless. The fix has just been merged to master. But until the update is released, the workaround is to downgrade numpy to a previous version:
pip install numpy==1.13.0
Update: h5py
has released the RC build with the fix. The following command should do it:
pip install h5py==2.8.0rc1
Update (FINAL): there's a full-fledged release now. So you can simply run:
pip install --upgrade h5py
You can also use the following code to have the warning lines erased from the terminal by using the following lines at the beginning of your code.
import numpy as np, sys, tensorflow as tf
print('\nStart of Code...\n')
FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
Start of Code...
import numpy as np, sys, tensorflow as tf
for i in range(3): # Add this for loop.
sys.stdout.write('\033[F') # Back to previous line.
sys.stdout.write('\033[K') # Clear line.
print('\nStart of Code...\n')
Start of Code...
This is due to a version conflict between h5py and numpy. All you need to do is degrade your numpy version through command as below:
pip install numpy==1.13.0