pymc.math.neq#

pymc.math.neq = Elemwise(scalar_op=NEQ,inplace_pattern=<frozendict {}>)[source]#

a != b

Computes element-wise inequality comparison between two tensors.

Parameters:

aTensorLike: First input tensor
bTensorLike: Second input tensor

Returns:

TensorVariable: Output tensor of type bool, with 1 (True) where a != b, and 0 (False) elsewhere.

Notes

Due to Python rules, it is not possible to overload the inequality symbol != for hashable objects and have it return something other than a boolean, so neq must always be used to compute the Elemwise inequality of TensorVariables (which are hashable).

Examples

>>> import pytensor
>>> import pytensor.tensor as pt
>>> x = pt.vector("x")
>>> y = pt.vector("y")
>>> f = pytensor.function([x, y], pt.neq(x, y))
>>> f([1, 2, 3], [1, 4, 3])
array([False,  True, False])