import tensorflow出现TypeError: Descriptors cannot not be created directly.
时间: 2023-09-19 09:07:53 浏览: 97
这个错误通常是由于 TensorFlow 版本不兼容或者安装不正确引起的。您可以尝试更新 TensorFlow 版本或者检查您的安装配置是否正确。另外,您也可以尝试重新安装 TensorFlow。
关于这个问题的更详细的解决方法,建议您参考 TensorFlow 官方文档或者相关论坛的讨论。如果您有其他问题或者需要更深入的指导,请随时向我提出。
相关问题
TypeError: Descriptors cannot not be created directly.
This error occurs when you try to create descriptors directly instead of using them as part of a class definition. Descriptors are special objects that are used to define attributes of a class, and they need to be defined within the class definition.
For example, if you want to define a descriptor for a specific attribute of a class, you would define it like this:
```
class MyDescriptor:
def __get__(self, instance, owner):
# code to get the attribute value
pass
def __set__(self, instance, value):
# code to set the attribute value
pass
class MyClass:
my_attr = MyDescriptor()
```
In this example, `MyDescriptor` is defined within the class definition of `MyClass`, and `my_attr` is an attribute of `MyClass` that is defined using `MyDescriptor`.
If you try to create `MyDescriptor` outside of the class definition, you will get the "TypeError: Descriptors cannot not be created directly" error:
```
my_descriptor = MyDescriptor() # TypeError: Descriptors cannot not be created directly
```
TypeError: Descriptors cannot not be created directly
TypeError: Descriptors cannot not be created directly是一个错误信息,它通常出现在运行深度学习python程序时,如mmdetection、mmdetection3d等程序中。这个错误提示意味着不能直接创建descriptors(描述符)。
解决这个问题的方法是重新安装pyqt5,可以使用以下命令进行安装:pip install protobuf==pyqt5。另外,也可以尝试降级protobuf包到3.20.x或更低版本,或者设置PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python来使用纯Python解析,但会导致解析速度变慢。
需要注意的是,如果此错误提示来自_pb2.py文件,那么可能是生成的代码已过时,需要使用protoc >= 3.19.0重新生成protos文件。如果无法立即重新生成protos文件,可以尝试上述提到的其他解决方法。
希望这些信息能帮助你解决TypeError: Descriptors cannot not be created directly的问题。如果还有其他问题,请随时提问。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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