class

GS::Autograd::DivBackward

Inherits GS::Autograd::GradFn < Reference < Object

Gradient function for division: c = a / b dc/da = 1/b, dc/db = -a/b^2

Constructors

new(a_data : Tensor, b_data : Tensor)
Source

Instance methods

backward(grad_output : Tensor) : Array(Tensor | Nil)

Compute gradients w.r.t. inputs given gradient of output Returns array of gradients, one per input (or nil if input doesn't require grad)

Source