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,))])