pip安装模型组见版本不对应

pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow 1.15.5 requires numpy<1.19.0,>=1.16.0, but you have numpy 1.21.6 which is incompatible. pytorch-lightning 1.7.7 requires tensorboard>=2.9.1, but you have tensorboard 1.15.0 which is incompatible. onnx 1.13.1 requires protobuf<4,>=3.20.2, but you have protobuf 3.20.0 which is incompatible.