public override differentiate(inputs as NDArray<T>, upstream as NDArray<T>) as LayerGradients<T>
Computes input derivatives; there are no parameter derivatives.
| Parameter | Description |
|---|---|
inputs | Original pre-activation tensor. |
upstream | Same-shaped output derivative. |
Derivative bundle for sequential composition.
gradients = activation.differentiate(inputs, upstream)