21 template <
typename Derived>
26 template <
typename Derived>
29 const unsigned int qp,
KokkosADDiffusion(const InputParameters ¶meters)
const InputParameters & parameters() const
Get the parameters of the object.
KOKKOS_FUNCTION Moose::Kokkos::ADReal computeQpResidual(const unsigned int i, const unsigned int qp, AssemblyDatum &datum) const
DualNumber< Real, DNDerivativeType, false > ADReal
static InputParameters validParams()
const ADVariableGradient _grad_u
Gradient of the current solution at quadrature points.
const ADVariableTestGradient _grad_test
Gradient of the current test function.
The base class for a user to derive their own Kokkos kernels using automatic differentiation (AD)...
The Kokkos object that holds thread-private data in the parallel operations of Kokkos kernels...