logic routines

The following no-backprop numpy functions should be wrapped so that they can accept tensors or numpy arrays (or both). These should all still return numpy arrays.

mygrad.logic

• logical_and (via numpy override)
• logical_or (via numpy override)
• logical_not (via numpy override)
• logical_xor (via numpy override)
• allclose (via numpy override)
• isclose
• greater (via numpy override)
• greater_equal (via numpy override)
• less (via numpy override)
• less_equal (via numpy override)
• equal (via numpy override)
• not_equal

A wrapper might be useful here so that any tensors passed to the functions simply have their underlying numpy-arrays passed instead.

We ought not expose sophisticated arguments, like out, casting, order, signature, subok, or extobj

[davidmascharka]

That’s just the bitwise operators. This is still open

[samaocarpenter]

Is this issue still open? I see that David made a pull request, but I don’t know if it addresses this issue or just the bitwise operators.