mars.tensor.greater¶

mars.tensor.
greater
(x1, x2, out=None, where=None, **kwargs)[source]¶ Return the truth value of (x1 > x2) elementwise.
 Parameters
x1 (array_like) – Input tensors. 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) – Input tensors. 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
out – Array of bools, or a single bool if x1 and x2 are scalars.
 Return type
bool or Tensor of bool
See also
Examples
>>> import mars.tensor as mt
>>> mt.greater([4,2],[2,2]).execute() array([ True, False])
If the inputs are ndarrays, then np.greater is equivalent to ‘>’.
>>> a = mt.array([4,2]) >>> b = mt.array([2,2]) >>> (a > b).execute() array([ True, False])