mxnet.np.add

add(x1, x2, out=None, **kwargs)

Add arguments element-wise.

Parameters

  • x2 (x1,) – The arrays 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 (ndarray) – 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.

Returns

  • The sum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars.

  • .. note:: – This operator now supports automatic type promotion. The resulting type will be determined according to the following rules: * If both inputs are of floating number types, the output is the more precise type. * If only one of the inputs is floating number type, the result is that type. * If both inputs are of integer types (including boolean), not supported yet.

Examples

>>> np.add(1.0, 4.0)
5.0
>>>
>>> x1 = np.arange(9.0).reshape((3, 3))
>>> x2 = np.arange(3.0)
>>> np.add(x1, x2)
array([[ 0.,  2.,  4.],
       [ 3.,  5.,  7.],
       [ 6.,  8., 10.]])