maxframe.tensor.mod#

maxframe.tensor.mod(x1, x2, out=None, where=None, **kwargs)[source]#

Return element-wise remainder of division.

Computes the remainder complementary to the floor_divide function. It is equivalent to the Python modulus operator``x1 % x2`` and has the same sign as the divisor x2. The MATLAB function equivalent to np.remainder is mod.

Warning

This should not be confused with:

Python 3.7’s math.remainder and C’s remainder, which computes the IEEE remainder, which are the complement to round(x1 / x2).
The MATLAB rem function and or the C % operator which is the complement to int(x1 / x2).

Parameters:

x1 (array_like) – Dividend array.
x2 (array_like) – Divisor array.
out (Tensor, None, or tuple of Tensor 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 tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs

Returns:

y – The element-wise remainder of the quotient floor_divide(x1, x2). Returns a scalar if both x1 and x2 are scalars.

Return type:

Tensor

See also

floor_divide: Equivalent of Python // operator.
divmod: Simultaneous floor division and remainder.
fmod: Equivalent of the MATLAB rem function.

divide, floor

Notes

Returns 0 when x2 is 0 and both x1 and x2 are (tensors of) integers.

Examples

>>> import maxframe.tensor as mt

>>> mt.remainder([4, 7], [2, 3]).execute()
array([0, 1])
>>> mt.remainder(mt.arange(7), 5).execute()
array([0, 1, 2, 3, 4, 0, 1])

maxframe.tensor.mod#

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