jax.numpy.divide#
- jax.numpy.divide(x1, x2, /)#
Divide arguments element-wise.
LAX-backend implementation of
numpy.divide()
.Original docstring below.
- Parameters:
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).
- Returns:
y – The quotient
x1/x2
, element-wise. This is a scalar if both x1 and x2 are scalars.- Return type:
ndarray or scalar