DeprecationWarning: In future, it will be an error for 'np.bool' scalars to be interpreted as an index
This started happening on 2024-10-24 when TensorFlow v2.18.0 was released with NumPy 2.0 support and NumPy 2.0 entered the CI system (PyTorch had long had support there). The diff in the packages installed between the previous day and the first failing run is
2024-10-23
2024-10-24
numpy 1.26.4
numpy 2.0.2
protobuf 4.25.5
protobuf 5.28.3
tensorboard 2.17.1
tensorboard 2.18.0
tensorflow 2.17.0
tensorflow 2.18.0
tf_keras 2.17.0
tf_keras 2.18.0
tinycss2 1.3.0
tinycss2 1.4.0
Werkzeug 3.0.4
Werkzeug 3.0.5
We should try to see if we can fix this behavior to avoid the DeprecationWarning. Worse case scenario we add it to the existing filterwarnings.
With NumPy 2.0, PyTorch now has a
This started happening on 2024-10-24 when TensorFlow v2.18.0 was released with NumPy 2.0 support and NumPy 2.0 entered the CI system (PyTorch had long had support there). The diff in the packages installed between the previous day and the first failing run is
We should try to see if we can fix this behavior to avoid the
DeprecationWarning. Worse case scenario we add it to the existingfilterwarnings.