fn
relu
→Tensorrelu(input: Tensor)Element-wise rectified linear unit.
Returns the positive part of each entry, zeroing out negatives.
Parameters
inputTensorInput tensor.
Returns
TensorElement-wise result with the same shape as input.
Notes
Mathematical definition:
Sub-gradient at is conventionally taken as zero. Standard activation in CNNs / MLPs.
Examples
>>> import lucid
>>> x = lucid.tensor([1.0, 2.0, 3.0])
>>> lucid.relu(x)
Tensor([...])