subtract(x1, x2, out=None, where=None, **kwargs)¶
Subtract arguments, element-wise.
- x1, x2 : array_like
- The tensors to be subtracted from each 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 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.
- y : Tensor
- The difference of x1 and x2, element-wise. Returns a scalar if both x1 and x2 are scalars.
x1 - x2in terms of tensor broadcasting.
>>> import mars.tensor as mt
>>> mt.subtract(1.0, 4.0).execute() -3.0
>>> x1 = mt.arange(9.0).reshape((3, 3)) >>> x2 = mt.arange(3.0) >>> mt.subtract(x1, x2).execute() array([[ 0., 0., 0.], [ 3., 3., 3.], [ 6., 6., 6.]])