bhack
bhack
Has we removed the limit on the max query points with: https://github.com/google-deepmind/tapnet/issues/147 I think it is not so much practical allocating always to the max. How much resources are we...
Is this the old https://stackoverflow.com/questions/61960609/why-is-rng-different-for-tensorflow-2-and-1 ?
Yes in TF2 `random_uniform` is conditional https://github.com/keras-team/keras/blob/5817ec5745a844a924065c19f4a9ee1cc4a5c66e/keras/backend.py#L1825-L1833 You can reproduce the same behavior in TF2 with `keras.backend.disable_generator_for_rng()`
@qlzh727 This symbol is not exported right? So isn't available in `tensorflow.keras` but only in `keras` right?
As I've mentioend `keras.backend.disable_generator_for_rng` is not part of the public API `from tensorflow import keras` but it is still part of `import keras`. Buf if we search in the source...
Yes but currently I think it is the only workaround that we have also if it is still not officially supported
@cdoersch What is the the main rational of this comment? Do you meant integrating over the pyramids? Do you have an example? ```python # Take only the predictions for the...
I have also another question. In a quite frequent case where we want to start from an arbitrary frame and so we need to process forward and backward to cover...
@cdoersch I've posted here as that comment is in the just released pytorch online notebook and we have already also more than one ticket asking for pytorch online version and...
Is there any PR about this submitted to `astroid`?