- jax.numpy.divmod(x1, x2, /)#
Return element-wise quotient and remainder simultaneously.
LAX-backend implementation of
Original docstring below.
New in version 1.13.0.
np.divmod(x, y)is equivalent to
(x // y, x % y), but faster because it avoids redundant work. It is used to implement the Python built-in function
divmodon NumPy arrays.
x1 (array_like) – Dividend array.
x2 (array_like) – Divisor array. If
x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
- Return type:
out1 (ndarray) – Element-wise quotient resulting from floor division. This is a scalar if both x1 and x2 are scalars.
out2 (ndarray) – Element-wise remainder from floor division. This is a scalar if both x1 and x2 are scalars.