百度後的結果:修改/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py文件
dtypes.py", line 499 _np_qint8 = np.dtype([("qint8", np.int8, (1,)])
# 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,))])