jax.numpy.fmodΒΆ

jax.numpy.fmod(x1, x2)[source]ΒΆ

Return the element-wise remainder of division.

LAX-backend implementation of fmod().

Original docstring below.

This is the NumPy implementation of the C library function fmod, the remainder has the same sign as the dividend x1. It is equivalent to the Matlab(TM) rem function and should not be confused with the Python modulus operator x1 % x2.

Parameters
  • x1 (array_like) – Dividend.

  • x2 (array_like) – Divisor. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).

  • out (ndarray, None, or tuple of ndarray and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

  • where (array_like, optional) – This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

  • **kwargs – For other keyword-only arguments, see the ufunc docs.

Returns

y – The remainder of the division of x1 by x2. This is a scalar if both x1 and x2 are scalars.

Return type

array_like