Method backward

modules/functional/sampling.py:28–31

(ctx, grad_output)

    @staticmethod
    def backward(ctx, grad_output):
        indices, = ctx.saved_tensors
        grad_features = _backend.gather_features_backward(grad_output.contiguous(), indices, ctx.num_points)
        return grad_features, None


gather = Gather.apply