# mars.tensor.cos¶

mars.tensor.cos(x, out=None, where=None, **kwargs)[source]

Cosine element-wise.

x : array_like
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 array 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

y : Tensor
The corresponding cosine values.

If out is provided, the function writes the result into it, and returns a reference to out. (See Examples)

M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions. New York, NY: Dover, 1972.

>>> import mars.tensor as mt

>>> mt.cos(mt.array([0, mt.pi/2, mt.pi])).execute()
array([  1.00000000e+00,   6.12303177e-17,  -1.00000000e+00])
>>>
>>> # Example of providing the optional output parameter
>>> out1 = mt.empty(1)
>>> out2 = mt.cos([0.1], out1)
>>> out2 is out1
True
>>>
>>> # Example of ValueError due to provision of shape mis-matched out
>>> mt.cos(mt.zeros((3,3)),mt.zeros((2,2)))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: operands could not be broadcast together with shapes (3,3) (2,2)