我是在使用bert==0.09的時候，遇到這個問題
原因：
numpy和h5py版本兼容問題，網上說h5py 官方已修復合併到 master 分支，但是還沒發新版，在發版之前可以用降級 numpy 的方法跳過這個問題。
所以我找到適合我的應用場景的一組版本，問題就解決了。
解決：
pip3 install --upgrade h5py==2.9.0
pip3 install --upgrade numpy==1.14.2
# 備註：肯定有其它的版本配合，我這沒有過多測試
# 另：Linux下解決，mac下 仍然會有報錯
bug還原
#首先安裝bert==0.09
pip3 install bert==0.09
# 然後，在查看幫助命令的時候報錯：
bert-base-serving-start --help
bug顯示：
/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
重點是：
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`.
然後重新修改下版本後就沒問題了！
注意：
系統環境下，可能有其它的包依賴numpy，在切換numpy版本時，需要注意有木有版本ERROR,如我的環境中就有這個問題：
所以這時候，一定要做好取捨，因爲h5py報錯，也只是 FutureWarning，是在未來的版本中會不支持，但目前並不影響程序運行，所以，還是要根據實際情況來選擇，或者還有一個辦法，分多套虛擬環境進行部署。