参考:https://blog.csdn.net/zj857328257/article/details/106695604/
根据pychram下面的提示,
找到"D:\Anaconda3\envs\tfn\Lib\site-packages\tensorflow\python\framework\_dtypes.pyd",进行编辑
也可以直接点击报错的蓝地址链接,去到对应文件
把
_np_quint8 = np.dtype([(“quint8”, np.uint8, 1)])
改为
_np_quint8 = np.dtype([("quint8", np.uint8, (1,))])
即
1 改为 (1,)
根据报错中的行数提示,每个都改
改前:
_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)])
改后:
_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,))])
保存,运行,成功!