python - "synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'." problem in TensorFlow

Question

I installed TensorFlow 1.10.1 but when I tried to import TensorFlow it said that I need TensorFlow version 1.10.0. Thus, I installed it and now I get the following warnings:

>>> import tensorflow
C:UsersPCAnaconda3envsutlibsite-packagesensorflowpythonframeworkdtypes.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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorflowpythonframeworkdtypes.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'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:UsersPCAnaconda3envsutlibsite-packagesensorflowpythonframeworkdtypes.py:518: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorflowpythonframeworkdtypes.py:519: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorflowpythonframeworkdtypes.py:520: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorflowpythonframeworkdtypes.py:525: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorboardcompatensorflow_stubdtypes.py:541: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorboardcompatensorflow_stubdtypes.py:542: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorboardcompatensorflow_stubdtypes.py:543: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorboardcompatensorflow_stubdtypes.py:544: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorboardcompatensorflow_stubdtypes.py:545: 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)])
C:UsersPCAnaconda3envsutlibsite-packagesensorboardcompatensorflow_stubdtypes.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)])

Answer 1

If you're using TF 2.0 a quick solution would be to downgrade your numpy to 1.16.4. (I used 1.17 and received the same warning messages).

1. pip uninstall numpy 
2. pip install numpy==1.16.4

See here (thanks to ymodak)