protected override void BackPropInternal(Tensor outputGradient)
{
Tensor.Conv2DInputsGradient(outputGradient, Kernels, Stride, InputsGradient[0]);
Tensor.Conv2DKernelsGradient(Inputs[0], outputGradient, Stride, Tensor.PaddingType.Valid, KernelsGradient);
if (UseBias)
{
BiasGradient.Add(outputGradient.SumBatches());
}
}
protected override void BackPropInternal(Tensor outputGradient)
{
// for explanation watch https://www.youtube.com/watch?v=8H2ODPNxEgA&t=898s
// each input is responsible for the output error proportionally to weights it is multiplied by
Weights.Transposed().Mul(outputGradient, InputsGradient[0]);
WeightsGradient.Add(outputGradient.Mul(Inputs[0].Transposed()).SumBatches(), WeightsGradient);
if (UseBias)
{
BiasGradient.Add(outputGradient.SumBatches(), BiasGradient);
}
}
