🚀 Feature

Support aten::remainder for Scalar x Tensor inputs (aten::remainder(Scalar, Tensor)), and torch.Tensor.__rmod__.
(cc: @mruberry, @rgommers, @emcastillo and @kmaehashi)

Motivation and Pitch

To enhance the compatibility with NumPy’s interface (c.f. #38349).

>>> 5 % numpy.array([1, 2, 3, 4, 5])
array([0, 1, 2, 1, 0])
>>> 5 % torch.tensor([1, 2, 3, 4, 5])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unsupported operand type(s) for %: 'int' and 'Tensor'

References

• [NumPy numpy.remainder]https://numpy.org/doc/stable/reference/generated/numpy.remainder.html)
• Python Array API: remainder(x1, x2, /)
• Python Array API: Reflected Operators