Hi @albanD, thanks for your explanation about the definition of _convolution_double_backward(). When reading this code, I was confused about the parameter like
output_mask and the target of calculating
Under my superficial understanding of all these,
ggW_r means the gradient of convolution kernel?
xx_r means a requirement,
ggb is the gradient of bias.
Really hope your advice on how to realize these parameters and the calculation of
Thank you very much!