dtypes.py", line 499 _np_qint8 = np.dtype([("qint8", np.int8, (1,)])

Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 63, in <module>
from tensorflow.python.framework.framework_lib import *
File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/framework_lib.py", line 76, in <module>
from tensorflow.python.framework.ops import Graph
File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 45, in <module>
from tensorflow.python.framework import dtypes
File "/home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py", line 499
_np_qint8 = np.dtype([("qint8", np.int8, (1,)])

==================================================================================================

cd /home/luo/anaconda3/envs/tf2019/lib/python3.6/site-packages/tensorflow/python/framework/

vim dtypes.py

 

# Numpy representation for quantized dtypes.

#

# These are magic strings that are used in the swig wrapper to identify

# quantized types.

# TODO(mrry,keveman): Investigate Numpy type registration to replace this

# hard-coding of names.

_Np_qint8 np.dtype # = ([( "qint8" np.int8 1)])

_Np_quint8 np.dtype # = ([( "quint8" np.uint8 1)])

_Np_qint16 np.dtype # = ([( "qint16" np.int16 1)])

_Np_quint16 np.dtype # = ([( "quint16" np.uint16 1)])

_Np_qint32 np.dtype # = ([( "qint32" np.int32 1)])

_np_qint8 np.dtype = ([( "qint8" np.int8 (1))])

_np_quint8 np.dtype = ([( "quint8" np.uint8 (1))])

_np_qint16 np.dtype = ([( "qint16" np.int16 (1))])

_np_quint16 np.dtype = ([( "quint16" np.uint16 (1))])

_np_qint32 np.dtype = ([( "qint32" np.int32 (1))])

 

# Custom struct dtype for directly-fed ResourceHandles of supported type(s).

#np_resource = np.dtype([("resource", np.ubyte, 1)])

np_resource = np.dtype([("resource", np.ubyte, (1,))])