Bonjour!
En essayant de rouler la ligne suivante:
history = model.fit(x_train,
y_train,
epochs = 100,
batch_size = 10,
verbose = fit_verbosity,
validation_data = (x_test, y_test),
callbacks = [savemodel_callback])
J'ai l'erreur suivante:
ValueError: The following argument(s) are not supported with the native Keras format: ['options']
J'ai tendance à croire que mon installation des dépendances n'est pas la bonne:
Check environment :
Python : Ok (3.8.10)
Fidle module : Ok (2.3.0)
2024-01-28 17:21:45.279626: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2024-01-28 17:21:45.314604: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2024-01-28 17:21:45.314911: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-01-28 17:21:45.917676: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
keras : Ok (2.13.1)
numpy : Ok (1.24.1)
sklearn : Ok (1.3.2)
yaml : Ok (6.0.1)
skimage : Ok (0.21.0)
matplotlib : Ok (3.7.4)
plotly : Ok (5.18.0)
pandas : Ok (2.0.3)
jupyterlab : Ok (4.0.11)
torch : Ok (2.1.2+cpu)
torchvision : Ok (0.16.2+cpu)
lightning : Ok (2.1.3)
Vous auriez un avis? Est-ce qu'un environnement Docker au lieu de l'installation venv serait meilleur?
