mars.tensor.add¶

mars.tensor.
add
(x1, x2, out=None, where=None, **kwargs)[source]¶ Add arguments elementwise.
 Parameters
x1 (array_like) – The tensors to be added. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which may be the shape of one or the other).x2 (array_like) – The tensors to be added. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which may be the shape of one or the other).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
add – The sum of x1 and x2, elementwise. Returns a scalar if both x1 and x2 are scalars.
 Return type
Tensor or scalar
Notes
Equivalent to x1 + x2 in terms of tensor broadcasting.
Examples
>>> import mars.tensor as mt
>>> mt.add(1.0, 4.0).execute() 5.0 >>> x1 = mt.arange(9.0).reshape((3, 3)) >>> x2 = mt.arange(3.0) >>> mt.add(x1, x2).execute() array([[ 0., 2., 4.], [ 3., 5., 7.], [ 6., 8., 10.]])