ATan Derivative#
- class src.model.SurrogateGradient.ATan(*args, **kwargs)#
Bases:
Function
Class that implements the SuperSpike function as the surrogate gradient for the backward pass.
- static backward(ctx, grad_output: Tensor) Tensor #
Backward pass using surrogate gradient function:
- static forward(ctx, input_: Tensor) Tensor #
Forward pass using 'Heaviside step function'
- spiking_mode = 'binary'#
- surrogate_scale = 2.0#