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No, you can't use and for this. In Python, a and b always, always, always means b if a else a. It cannot be overridden and cannot mean anything else. Likewise not, and any other boolean keywords, ...
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#1: Initial revision
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r~~
·
2023-09-05T20:01:10Z (over 1 year ago)
No, you can't use `and` for this. In Python, `a and b` always, always, always means `b if a else a`. It cannot be overridden and cannot mean anything else. Likewise `not`, and any other boolean *keywords*, as opposed to operators. You could instead write `a & b`, which should mean the same thing as `tf.logical_and(a, b)` among TensorFlow tensors, [per the documentation](https://www.tensorflow.org/api_docs/python/tf/math/logical_and). The [documentation](https://www.tensorflow.org/api_docs/python/tf/math/logical_not) for `logical_not` in TensorFlow doesn't indicate an operator synonym, but in other Python libraries the `~` operator can be used for this purpose.