maxframe.tensor.greater

maxframe.tensor.greater(x1, x2, out=None, where=None, **kwargs)

Return the truth value of (x1 > x2) element-wise.

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 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.

• **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

greater_equal, less, less_equal, equal, not_equal

Examples

>>> import maxframe.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])