[src] Function arrayfire::convolve2_gradient_nn

pub fn convolve2_gradient_nn<T>(
  incoming_grad: &Array<T>, 
  original_signal: &Array<T>, 
  original_filter: &Array<T>, 
  convolved_output: &Array<T>, 
  strides: Dim4, 
  padding: Dim4, 
  dilation: Dim4, 
  grad_type: ConvGradientType 
) -> Array<T> where
  T: HasAfEnum + RealFloating, 

Backward pass gradient of 2D convolution

Parameters

• incoming_gradient gradients to be distributed in backwards pass
• original_signal input signal to forward pass of convolution assumed structure of input is ( d0 x d1 x d2 x N )
• original_filter input filter to forward pass of convolution assumed structure of input is ( d0 x d1 x d2 x N )
• convolved_output output from forward pass of convolution
• strides are distance between consecutive elements along each dimension for original convolution
• padding specifies padding width along each dimension for original convolution
• dilation specifies filter dilation along each dimension for original convolution
• grad_type specifies which gradient to return

Return Values

Gradient Array w.r.t input generated from convolve2_nn