我是在使用bert==0.09的时候，遇到这个问题
原因：
numpy和h5py版本兼容问题，网上说h5py 官方已修复合并到 master 分支，但是还没发新版，在发版之前可以用降级 numpy 的方法跳过这个问题。
所以我找到适合我的应用场景的一组版本，问题就解决了。
解决：
pip3 install --upgrade h5py==2.9.0
pip3 install --upgrade numpy==1.14.2
# 备注：肯定有其它的版本配合，我这没有过多测试
# 另：Linux下解决，mac下 仍然会有报错
bug还原
#首先安装bert==0.09
pip3 install bert==0.09
# 然后，在查看帮助命令的时候报错：
bert-base-serving-start --help
bug显示：
/Users/Davide/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: 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)])
/Users/Davide/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:527: 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_quint8 = np.dtype([("quint8", np.uint8, 1)])
/Users/Davide/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:528: 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_qint16 = np.dtype([("qint16", np.int16, 1)])
/Users/Davide/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:529: 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_quint16 = np.dtype([("quint16", np.uint16, 1)])
/Users/Davide/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:530: 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_qint32 = np.dtype([("qint32", np.int32, 1)])
/Users/Davide/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:535: 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)])
/Users/Davide/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: 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
重点是：
h5py/__init__.py:36: 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`.
然后重新修改下版本后就没问题了！
注意：
系统环境下，可能有其它的包依赖numpy，在切换numpy版本时，需要注意有木有版本ERROR,如我的环境中就有这个问题：
所以这时候，一定要做好取舍，因为h5py报错，也只是 FutureWarning，是在未来的版本中会不支持，但目前并不影响程序运行，所以，还是要根据实际情况来选择，或者还有一个办法，分多套虚拟环境进行部署。