Hi there,
I want to write a custom convolution_backward_overrideable function with cudnn backend.
It should return a tuple with std::make_tuple(grad_input,grad_weight, grad_bias).
The weight and input could be handled by using cudnn_convolution_backward_input and  cudnn_convolution_backward_weight.
But according to 31524 1, handling bias inside convolution is deprecated.  However, I could not find examples or docs about how to handle bias in this case.
Is there any example on how to handle the bias? Or Is letting bias to 0 is acceptable?