mars.tensor.floor¶

mars.tensor.
floor
(x, out=None, where=None, **kwargs)[source]¶ Return the floor of the input, elementwise.
The floor of the scalar x is the largest integer i, such that i <= x. It is often denoted as \(\lfloor x \rfloor\).
 Parameters
x (array_like) – Input data.
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 freshlyallocated 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 floor of each element in x.
 Return type
Tensor or scalar
Notes
Some spreadsheet programs calculate the “floortowardszero”, in other words
floor(2.5) == 2
. NumPy instead uses the definition of floor where floor(2.5) == 3.Examples
>>> import mars.tensor as mt
>>> a = mt.array([1.7, 1.5, 0.2, 0.2, 1.5, 1.7, 2.0]) >>> mt.floor(a).execute() array([2., 2., 1., 0., 1., 1., 2.])