maximum

→Tensor

maximum(input: Tensor, other: Tensor | Scalar)

Element-wise maximum with broadcasting.

Returns the larger of the two operands at each position. NaN propagates: if either entry is NaN the result is NaN.

inputTensor

Left operand.

otherTensor or scalar

Right operand. Broadcasts against input following the standard broadcasting rules; Python scalars are promoted to a tensor of matching dtype.

Tensor

Element-wise result with shape broadcast(input.shape, other.shape) and dtype determined by the usual type-promotion rules.

Mathematical definition:

\text{out}_i = \max(\text{input}_i, \text{other}_i)

Gradient flows to whichever operand achieves the maximum; ties are split arbitrarily.

>>> import lucid
>>> a = lucid.tensor([1.0, 2.0, 3.0])
>>> b = lucid.tensor([4.0, 5.0, 6.0])
>>> lucid.maximum(a, b)
Tensor([...])