Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
409 views
in Technique[技术] by (71.8m points)

python - FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated

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 appreciated.

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
2018-01-19 17:11:38.695932: I C:f_jenkinshomeworkspace
el-winMwindowsPY36ensorflowcoreplatformcpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

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 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

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

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...