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The description and the 'A single update step of the model.'-illustration doesn't match.
alive = max_pool(state_grid[:, :, 3], (3,3)) > 0.1 state_grid = state_grid * cast(alive, float32)
But the collab notebook (and the illustration):
pre_life_mask = get_living_mask(x)
.. update state ...
post_life_mask = get_living_mask(x) life_mask = pre_life_mask & post_life_mask return x * tf.cast(life_mask, tf.float32)
In the colab notebook, cells are only living if they were living and are living after the update ?
What is the reason behind this modified life_mask ?
life_mask
The text was updated successfully, but these errors were encountered:
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The description and the 'A single update step of the model.'-illustration doesn't match.
But the collab notebook (and the illustration):
.. update state ...
In the colab notebook, cells are only living if they were living and are living after the update ?
What is the reason behind this modified
life_mask
?The text was updated successfully, but these errors were encountered: