J'ai l'erreur suivante en exécutant la première cellule de WINE1 :
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
J'ai essayé avec protobuf==3.20.3 mais [ERROR: tensorboard 2.9.1 has requirement protobuf<3.20,>=3.9.2, but you'll have protobuf 3.20.3 which is incompatible.], puis j'ai essayé avec protobuf==3.19.6 et protobuf==3.19.0 mais j'ai toujours la même TypeError dans le notebook. Quand je fais [fid check], j'ai :
Python : Ok (3.8.10)
Fidle module : Ok (2.0b54)
2022-11-17 16:32:45.862829: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2022-11-17 16:32:45.862861: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
tensorflow : Ok (2.9.0)
tensorflow.keras : Ok (2.9.0)
numpy : Ok (1.23.1)
sklearn : Ok (1.1.3)
skimage : Ok (0.19.3)
matplotlib : Ok (3.6.2)
plotly : Ok (5.11.0)
pandas : Ok (1.5.1)
jupyterlab : Ok (3.5.0)
torch : Ok (1.13.0+cu117)
torchvision : Ok (0.14.0+cu117)
