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2201f3354a |
@@ -213,6 +213,7 @@ set(HDRS
|
||||
dfem/qfunction_apply.hpp
|
||||
dfem/qfunction_transform.hpp
|
||||
dfem/tuple.hpp
|
||||
dfem/univarsolvers.hpp
|
||||
dfem/util.hpp
|
||||
eltrans.hpp
|
||||
estimators.hpp
|
||||
|
||||
@@ -0,0 +1,263 @@
|
||||
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
|
||||
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
|
||||
// LICENSE and NOTICE for details. LLNL-CODE-806117.
|
||||
//
|
||||
// This file is part of the MFEM library. For more information and source code
|
||||
// availability visit https://mfem.org.
|
||||
//
|
||||
// MFEM is free software; you can redistribute it and/or modify it under the
|
||||
// terms of the BSD-3 license. We welcome feedback and contributions, see file
|
||||
// CONTRIBUTING.md for details.
|
||||
|
||||
/**
|
||||
* @file univarsolvers.hpp
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||||
*
|
||||
* @brief Solvers of functions of a single variable suitable for use in ∂FEM q-functions.
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||||
*/
|
||||
|
||||
#ifndef MFEM_UNIVARSOLVERS
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||||
#define MFEM_UNIVARSOLVERS
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||||
|
||||
#include <cmath>
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||||
#include <limits>
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||||
|
||||
#include "../../config/config.hpp"
|
||||
#include "../../general/enzyme.hpp"
|
||||
#include "../../general/error.hpp"
|
||||
|
||||
#ifdef MFEM_USE_ENZYME
|
||||
|
||||
// Currently needed to work around a bug in LLVM
|
||||
extern void __enzyme_double(void*, size_t);
|
||||
|
||||
namespace mfem
|
||||
{
|
||||
|
||||
namespace future
|
||||
{
|
||||
/// Representation of root search bounds
|
||||
struct Bounds
|
||||
{
|
||||
real_t lower, upper;
|
||||
};
|
||||
|
||||
|
||||
/// Settings for univariate solver
|
||||
struct SolverSettings
|
||||
{
|
||||
real_t residual_abs_tol; ///< Tolerance for convergence check on absolute value of residual
|
||||
real_t residual_rel_tol; ///< Tolerance for convergence check on absolute value of current residual relative to absolute value of residual at initial guess
|
||||
Bounds bounds; ///< Bounds on root
|
||||
int max_iters = 50;
|
||||
};
|
||||
} // namespace future
|
||||
|
||||
namespace internal
|
||||
{
|
||||
/// @cond DO_NOT_DOCUMENT
|
||||
|
||||
using future::SolverSettings;
|
||||
|
||||
// The noinline attribute is neccessary for Enzyme. If this function were to be
|
||||
// inlined in the calling function, The custom derivative rules would not be
|
||||
// found (since the function they refer to would no longer exist).
|
||||
template <auto f, typename T>
|
||||
__attribute__((noinline))
|
||||
MFEM_HOST_DEVICE void SolveNewtonBisection_impl(const real_t* x0_ptr,
|
||||
const T* p_ptr, const SolverSettings* settings_ptr, real_t* x_ptr)
|
||||
{
|
||||
int max_iters = settings_ptr->max_iters;
|
||||
|
||||
const real_t& x0 = *x0_ptr;
|
||||
const T& p = *p_ptr;
|
||||
const SolverSettings& settings = *settings_ptr;
|
||||
const real_t& left_bracket = settings.bounds.lower;
|
||||
const real_t& right_bracket = settings.bounds.upper;
|
||||
real_t& x = *x_ptr;
|
||||
using std::abs;
|
||||
|
||||
auto fprime = [&p](real_t x)
|
||||
{
|
||||
real_t x_dot = 1.0;
|
||||
return __enzyme_fwddiff<real_t>((void*)+f, enzyme_dup, x, x_dot, enzyme_const,
|
||||
p);
|
||||
};
|
||||
|
||||
real_t fl = f(left_bracket, p);
|
||||
real_t fh = f(right_bracket, p);
|
||||
|
||||
// handle corner cases where one of the brackets is the root
|
||||
if (abs(fl) < settings.residual_abs_tol)
|
||||
{
|
||||
x = left_bracket;
|
||||
return;
|
||||
}
|
||||
else if (abs(fh) < settings.residual_abs_tol)
|
||||
{
|
||||
x = right_bracket;
|
||||
return;
|
||||
}
|
||||
|
||||
if (fl * fh > 0)
|
||||
{
|
||||
MFEM_WARNING("Root is not bracketed, solver may diverge.");
|
||||
}
|
||||
|
||||
// clamp initial guess within root brackets
|
||||
x = x0 > right_bracket? right_bracket : x0 < left_bracket? left_bracket : x0;
|
||||
|
||||
// Orient search so that f(xl) < 0
|
||||
real_t xl = left_bracket;
|
||||
real_t xh = right_bracket;
|
||||
if (fl > 0.0)
|
||||
{
|
||||
xl = right_bracket;
|
||||
xh = left_bracket;
|
||||
real_t tmp = fl;
|
||||
fl = fh;
|
||||
fh = tmp;
|
||||
}
|
||||
|
||||
real_t dx_old = abs(right_bracket - left_bracket);
|
||||
real_t dx = dx_old;
|
||||
x = x0;
|
||||
real_t r = f(x, p);
|
||||
real_t dr_dx = fprime(x);
|
||||
real_t r0 = r;
|
||||
for (int i = 0; i < max_iters; i++)
|
||||
{
|
||||
if ((((x - xh) * dr_dx - r)*((x - xl)*dr_dx - r) >= 0.0) ||
|
||||
// Newton out of range
|
||||
(std::abs(2.0*r) > std::abs(
|
||||
dx_old*dr_dx))) // Newton decreasing bracket slower than bisection
|
||||
{
|
||||
// Take bisection step
|
||||
dx_old = dx;
|
||||
dx = 0.5*(xh - xl);
|
||||
real_t x_old = x;
|
||||
x = xl + dx;
|
||||
if (x == x_old) { return; }
|
||||
}
|
||||
else
|
||||
{
|
||||
// Take Newton step
|
||||
dx_old = dx;
|
||||
dx = -r/dr_dx;
|
||||
real_t x_old = x;
|
||||
x += dx;
|
||||
if (x == x_old) { return; }
|
||||
}
|
||||
|
||||
// update residual and jacobian
|
||||
r = f(x, p);
|
||||
dr_dx = fprime(x);
|
||||
|
||||
// Check convergence
|
||||
if (abs(r) < settings.residual_rel_tol*r0 ||
|
||||
abs(r) < settings.residual_abs_tol)
|
||||
{
|
||||
return;
|
||||
}
|
||||
|
||||
// Update bracket
|
||||
if (r < 0.0)
|
||||
{
|
||||
xl = x;
|
||||
fl = r;
|
||||
}
|
||||
else
|
||||
{
|
||||
xh = x;
|
||||
fh = r;
|
||||
}
|
||||
}
|
||||
MFEM_ABORT("Univariate solve did not converge.");
|
||||
}
|
||||
|
||||
template <auto f, typename T>
|
||||
void SolveNewtonBisection_impl_fwddiff(const real_t* x0,
|
||||
const real_t* /* unused shadow */,
|
||||
const T* p, const T* dp,
|
||||
const SolverSettings* settings, const SolverSettings* /* unused shadow */,
|
||||
real_t* x, real_t* dx)
|
||||
{
|
||||
SolveNewtonBisection_impl<f>(x0, p, settings, x);
|
||||
real_t dfdx = __enzyme_fwddiff<real_t>((void*)+f, enzyme_dup, *x, 1.0,
|
||||
enzyme_const, *p);
|
||||
real_t dfdp = __enzyme_fwddiff<real_t>((void*)+f, enzyme_const, *x, enzyme_dup,
|
||||
*p, *dp);
|
||||
*dx = -dfdp/dfdx;
|
||||
}
|
||||
|
||||
|
||||
template<auto f, typename T>
|
||||
void SolveNewtonBisection_impl_aug(const real_t* x0, real_t* x0_bar,
|
||||
const T* p, T* p_bar,
|
||||
const SolverSettings* settings, SolverSettings* settings_bar,
|
||||
real_t* x, real_t* x_bar)
|
||||
{
|
||||
SolveNewtonBisection_impl<f>(x0, p, settings, x);
|
||||
}
|
||||
|
||||
// Change the residual function to return-by-reference so that there is a
|
||||
// slot to provide the downstream cotangent (ie the shadow for y)
|
||||
// in the reverse mode call.
|
||||
template<auto f, typename T>
|
||||
void rbr_wrapper(real_t x, T& p, real_t& y)
|
||||
{
|
||||
y = f(x, p);
|
||||
}
|
||||
|
||||
template<auto f, typename T>
|
||||
void SolveNewtonBisection_impl_rev(const real_t* x0, real_t* x0_bar,
|
||||
const T* p, T* p_bar,
|
||||
const SolverSettings* settings, SolverSettings* settings_bar,
|
||||
real_t* x, real_t* x_bar)
|
||||
{
|
||||
real_t drdx = __enzyme_fwddiff<real_t>((void*)+f, enzyme_dup, *x, 1.0,
|
||||
enzyme_const, *p);
|
||||
real_t lambda = -(*x_bar / drdx);
|
||||
real_t r;
|
||||
__enzyme_autodiff<void>((void*)rbr_wrapper<f, T>, enzyme_const, *x, enzyme_dup,
|
||||
p, p_bar, enzyme_dupnoneed, &r, &lambda);
|
||||
|
||||
// These are logically constants, the root has no sensitivity to these
|
||||
*x0_bar = 0.0;
|
||||
*settings_bar = SolverSettings{};
|
||||
}
|
||||
|
||||
/// @endcond
|
||||
} // namespace internal
|
||||
|
||||
|
||||
namespace future
|
||||
{
|
||||
|
||||
/**
|
||||
* @brief Find the root of a univariate funtion
|
||||
*/
|
||||
template<auto f, typename T>
|
||||
MFEM_HOST_DEVICE __attribute__((always_inline)) real_t SolveNewtonBisection(
|
||||
real_t x0, T p, SolverSettings settings)
|
||||
{
|
||||
// We need to tell Enzyme how much memory in the SolverSettings object is
|
||||
// used by active variables (in the sense of Enzyme activity analysis).
|
||||
// Without this, it seems that a bug in LLVM causes this information to
|
||||
// be lost during some optimization pass, and the Enzyme pass fails in
|
||||
// Release builds.
|
||||
// There are 4 real_t members in settings, which is what Enzyme will
|
||||
// consider active.
|
||||
// TODO: File an issue on Enzyme to remind Bill to fix this in LLVM.
|
||||
__enzyme_double((void*)&settings, sizeof(real_t)*4);
|
||||
|
||||
real_t x;
|
||||
internal::SolveNewtonBisection_impl<f>(&x0, &p, &settings, &x);
|
||||
return x;
|
||||
}
|
||||
|
||||
|
||||
} // namespace future
|
||||
} // namespace mfem
|
||||
|
||||
#endif // MFEM_USE_ENZYME
|
||||
#endif // MFEM_UNIVARSOLVERS
|
||||
@@ -53,6 +53,7 @@
|
||||
#include "particleset.hpp"
|
||||
|
||||
#include "dfem/doperator.hpp"
|
||||
#include "dfem/univarsolvers.hpp"
|
||||
|
||||
#ifdef MFEM_USE_MPI
|
||||
#include "pfespace.hpp"
|
||||
|
||||
+11
-5
@@ -321,12 +321,17 @@ void ParL2FaceRestriction::DoubleValuedConformingMult(
|
||||
const int vd = vdim;
|
||||
const bool t = byvdim;
|
||||
const int threshold = ndofs;
|
||||
const int nsdofs = pfes.GetFaceNbrVSize();
|
||||
const int nsdofs = pfes.GetFaceNbrVSize() / vd;
|
||||
auto d_indices1 = scatter_indices1.Read();
|
||||
auto d_indices2 = scatter_indices2.Read();
|
||||
auto d_x = Reshape(x.Read(), t?vd:ndofs, t?ndofs:vd);
|
||||
auto d_x_shared = Reshape(face_nbr_data.Read(),
|
||||
t?vd:nsdofs, t?nsdofs:vd);
|
||||
const int ne_shared = nsdofs / elem_dofs;
|
||||
const int nedof = elem_dofs;
|
||||
// Note: the shape of face_nbr_data, as determined by
|
||||
// ParFiniteElementSpace::ExchangeFaceNbrData, is (elem_dofs, vdim,
|
||||
// ne_shared), independent of the ordering (byNODES or byVDIM) of the finite
|
||||
// element space.
|
||||
auto d_x_shared = Reshape(face_nbr_data.Read(), elem_dofs, vd, ne_shared);
|
||||
auto d_y = Reshape(y.Write(), nface_dofs, vd, 2, nf);
|
||||
mfem::forall(nfdofs, [=] MFEM_HOST_DEVICE (int i)
|
||||
{
|
||||
@@ -346,8 +351,9 @@ void ParL2FaceRestriction::DoubleValuedConformingMult(
|
||||
}
|
||||
else if (idx2>=threshold) // shared boundary
|
||||
{
|
||||
d_y(dof, c, 1, face) = d_x_shared(t?c:(idx2-threshold),
|
||||
t?(idx2-threshold):c);
|
||||
const int e_shared = (idx2 - threshold) / nedof;
|
||||
const int i_shared = (idx2 - threshold) % nedof;
|
||||
d_y(dof, c, 1, face) = d_x_shared(i_shared,c,e_shared);
|
||||
}
|
||||
else // true boundary
|
||||
{
|
||||
|
||||
+3
-6
@@ -1398,20 +1398,17 @@ void L2FaceRestriction::PermuteAndSetSharedFaceDofsScatterIndices2(
|
||||
const int dim = fes.GetMesh()->Dimension();
|
||||
const int dof1d = fes.GetTypicalFE()->GetOrder()+1;
|
||||
fes.GetTypicalFE()->GetFaceMap(face_id2, face_map);
|
||||
Array<int> face_nbr_dofs;
|
||||
const ParFiniteElementSpace &pfes =
|
||||
static_cast<const ParFiniteElementSpace&>(this->fes);
|
||||
pfes.GetFaceNbrElementVDofs(elem_index, face_nbr_dofs);
|
||||
|
||||
for (int face_dof_elem1 = 0; face_dof_elem1 < face_dofs; ++face_dof_elem1)
|
||||
{
|
||||
const int face_dof_elem2 = PermuteFaceL2(dim, face_id1, face_id2,
|
||||
orientation, dof1d, face_dof_elem1);
|
||||
const int volume_dof_elem2 = face_map[face_dof_elem2];
|
||||
const int global_dof_elem2 = face_nbr_dofs[volume_dof_elem2];
|
||||
// Encode the volume DOF index and element index
|
||||
const int global_dof_elem2 = elem_index*elem_dofs + volume_dof_elem2;
|
||||
const int restriction_dof_elem2 = face_dofs*face_index + face_dof_elem1;
|
||||
// Trick to differentiate dof location inter/shared
|
||||
scatter_indices2[restriction_dof_elem2] = ndofs+global_dof_elem2;
|
||||
scatter_indices2[restriction_dof_elem2] = ndofs + global_dof_elem2;
|
||||
}
|
||||
#endif
|
||||
}
|
||||
|
||||
@@ -317,6 +317,9 @@ void HypreParVector::WrapHypreParVector(hypre_ParVector *y, bool owner)
|
||||
|
||||
Vector * HypreParVector::GlobalVector() const
|
||||
{
|
||||
MFEM_VERIFY(size > 0,
|
||||
"GlobalVector method can only be called on vectors wherein each "
|
||||
"process owns one or more entries");
|
||||
hypre_Vector *hv = hypre_ParVectorToVectorAll(*this);
|
||||
Vector *v = new Vector(hv->data, internal::to_int(hv->size));
|
||||
v->MakeDataOwner();
|
||||
|
||||
+299
-174
File diff suppressed because it is too large
Load Diff
@@ -39,6 +39,7 @@ set(UNIT_TESTS_SRCS
|
||||
dfem/test_divergence.cpp
|
||||
dfem/test_lvector_interface.cpp
|
||||
dfem/test_mass.cpp
|
||||
dfem/test_univarsolver.cpp
|
||||
general/test_array.cpp
|
||||
general/test_scan.cpp
|
||||
general/test_arrays_by_name.cpp
|
||||
|
||||
@@ -0,0 +1,359 @@
|
||||
// Copyright (c) 2010-2025, Lawrence Livermore National Security, LLC. Produced
|
||||
// at the Lawrence Livermore National Laboratory. All Rights reserved. See files
|
||||
// LICENSE and NOTICE for details. LLNL-CODE-806117.
|
||||
//
|
||||
// This file is part of the MFEM library. For more information and source code
|
||||
// availability visit https://mfem.org.
|
||||
//
|
||||
// MFEM is free software; you can redistribute it and/or modify it under the
|
||||
// terms of the BSD-3 license. We welcome feedback and contributions, see file
|
||||
// CONTRIBUTING.md for details.
|
||||
|
||||
#include <algorithm>
|
||||
#include <cmath>
|
||||
|
||||
#include "mfem.hpp"
|
||||
#include "unit_tests.hpp"
|
||||
|
||||
#ifdef MFEM_USE_ENZYME
|
||||
|
||||
using mfem::real_t;
|
||||
using namespace mfem::future;
|
||||
|
||||
MFEM_HOST_DEVICE inline real_t FlowResistance(real_t eqps, real_t sigma_y, real_t n, real_t ep_0)
|
||||
{
|
||||
return sigma_y*(1.0 + std::pow((eqps)/ep_0, n));
|
||||
}
|
||||
|
||||
using J2PlasticityParameters = tuple<real_t, real_t, real_t, real_t, real_t, real_t>;
|
||||
|
||||
// Residual function that is solved in the plasticity model.
|
||||
// Made a free function to facilitate Enzyme differentiation.
|
||||
real_t J2PlasticityResidual(real_t delta_eqps, J2PlasticityParameters p)
|
||||
{
|
||||
auto [eqps, q, G, sigma_y, n, ep_0] = p;
|
||||
return q - 3.0*G*delta_eqps - FlowResistance(eqps + delta_eqps, sigma_y, n, ep_0);
|
||||
}
|
||||
|
||||
struct J2Plasticity {
|
||||
static constexpr int dim = 3; ///< spatial dimension
|
||||
static constexpr int N_INTERNAL_STATES = 10;
|
||||
static constexpr real_t tol = 1e-10; ///< relative tolerance on residual mag to judge convergence of return map
|
||||
|
||||
real_t E; ///< Young's modulus
|
||||
real_t nu; ///< Poisson's ratio
|
||||
real_t sigma_y; ///< Yield strength
|
||||
real_t n; ///< Hardening index
|
||||
real_t ep_0; ///< Reference plastic strain
|
||||
|
||||
/// @brief variables required to characterize the hysteresis response
|
||||
struct InternalState {
|
||||
tensor<real_t, dim, dim> plastic_strain;
|
||||
real_t accumulated_plastic_strain;
|
||||
};
|
||||
|
||||
/// Internal state variables in a flattened array for storing in a global field
|
||||
using PackedInternalState = mfem::future::tensor<real_t, N_INTERNAL_STATES>;
|
||||
|
||||
// Unflatten internal state variables
|
||||
MFEM_HOST_DEVICE static inline InternalState unpack_internal_state(
|
||||
const mfem::future::tensor<real_t, N_INTERNAL_STATES>& packed_state)
|
||||
{
|
||||
auto plastic_strain =
|
||||
mfem::future::make_tensor<dim, dim>([&packed_state](int i, int j) { return packed_state[dim * i + j]; });
|
||||
real_t accumulated_plastic_strain = packed_state[N_INTERNAL_STATES - 1];
|
||||
return {plastic_strain, accumulated_plastic_strain};
|
||||
}
|
||||
|
||||
// Flatten internal state variables (for repacking into global field)
|
||||
MFEM_HOST_DEVICE static inline PackedInternalState pack_internal_state(
|
||||
const mfem::future::tensor<real_t, dim, dim>& plastic_strain, real_t accumulated_plastic_strain)
|
||||
{
|
||||
PackedInternalState packed_state{};
|
||||
for (int i = 0, ij = 0; i < dim; i++) {
|
||||
for (int j = 0; j < dim; j++, ij++) {
|
||||
packed_state[ij] = plastic_strain[i][j];
|
||||
}
|
||||
}
|
||||
packed_state[N_INTERNAL_STATES - 1] = accumulated_plastic_strain;
|
||||
return packed_state;
|
||||
}
|
||||
|
||||
// Compute the new stress and the internal state variables
|
||||
MFEM_HOST_DEVICE inline tuple<tensor<real_t, dim, dim>, PackedInternalState>
|
||||
update(tensor<real_t, dim, dim> dudxi,
|
||||
PackedInternalState internal_state,
|
||||
tensor<real_t, dim, dim> J,
|
||||
real_t w) const
|
||||
{
|
||||
auto invJ = inv(J);
|
||||
const auto dudX = dudxi * invJ;
|
||||
auto I = IdentityMatrix<dim>();
|
||||
const real_t K = E / (3.0 * (1.0 - 2.0 * nu));
|
||||
const real_t G = 0.5 * E / (1.0 + nu);
|
||||
|
||||
auto [plastic_strain, accumulated_plastic_strain] = unpack_internal_state(internal_state);
|
||||
|
||||
auto el_strain = sym(dudX) - plastic_strain;
|
||||
auto p = K * tr(el_strain);
|
||||
auto s = 2.0 * G * dev(el_strain);
|
||||
auto q = std::sqrt(1.5) * norm(s);
|
||||
real_t denom = q > 0.0? q : 1.0;
|
||||
auto Np = 1.5 * s / denom;
|
||||
|
||||
if (q > FlowResistance(accumulated_plastic_strain, sigma_y, n, ep_0)) {
|
||||
real_t lb = 0.0;
|
||||
real_t ub = (q - FlowResistance(accumulated_plastic_strain, sigma_y, n, ep_0))/(3*G);
|
||||
SolverSettings settings{1e-10*sigma_y, 1e-10, {lb, ub}};
|
||||
// Use the differentiable univariate root finder.
|
||||
// This has custom derivatives, so it's ok to differentiate this enclosing function.
|
||||
real_t delta_eqps = SolveNewtonBisection<J2PlasticityResidual>(
|
||||
0.5*(lb + ub), make_tuple(accumulated_plastic_strain, q, G, sigma_y, n, ep_0), settings);
|
||||
accumulated_plastic_strain += delta_eqps;
|
||||
plastic_strain += delta_eqps * Np;
|
||||
s -= 2.0 * G * delta_eqps * Np;
|
||||
}
|
||||
auto Q_new = pack_internal_state(plastic_strain, accumulated_plastic_strain);
|
||||
auto stress = s + p * I;
|
||||
const real_t dV = det(J)*w;
|
||||
return {stress*transpose(invJ)*dV, Q_new};
|
||||
}
|
||||
|
||||
MFEM_HOST_DEVICE inline tensor<real_t, dim, dim>
|
||||
stress(tensor<real_t, dim, dim> dudxi,
|
||||
PackedInternalState internal_state,
|
||||
tensor<real_t, dim, dim> J,
|
||||
real_t w) const
|
||||
{
|
||||
auto [stress, internal_state_new] = update(dudxi, internal_state, J, w);
|
||||
return stress;
|
||||
}
|
||||
|
||||
MFEM_HOST_DEVICE inline PackedInternalState
|
||||
internal_state_new(tensor<real_t, dim, dim> dudxi,
|
||||
PackedInternalState internal_state,
|
||||
tensor<real_t, dim, dim> J,
|
||||
real_t w) const
|
||||
{
|
||||
auto [stress, internal_state_new] = update(dudxi, internal_state, J, w);
|
||||
return internal_state_new;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
// Register the custom derivatives for the solver.
|
||||
// This needs to be done for every residual function that the solver is applied on,
|
||||
// since the SolveNewtonBisection_impl is a function template, and we need a real
|
||||
// function with an address to specify the custom derivative.
|
||||
|
||||
// Forward mode
|
||||
__attribute__((used))
|
||||
void * __enzyme_register_derivative_newton_bisection_on_j2[2] = {
|
||||
(void*) mfem::internal::SolveNewtonBisection_impl<J2PlasticityResidual, J2PlasticityParameters>,
|
||||
(void*) mfem::internal::SolveNewtonBisection_impl_fwddiff<J2PlasticityResidual, J2PlasticityParameters>
|
||||
};
|
||||
|
||||
// Reverse mode
|
||||
__attribute__((used))
|
||||
void* __enzyme_register_gradient_SolveNewtonBisectionJ2[3] = {
|
||||
(void*)mfem::internal::SolveNewtonBisection_impl<J2PlasticityResidual, J2PlasticityParameters>,
|
||||
(void*)mfem::internal::SolveNewtonBisection_impl_aug<J2PlasticityResidual, J2PlasticityParameters>,
|
||||
(void*)mfem::internal::SolveNewtonBisection_impl_rev<J2PlasticityResidual, J2PlasticityParameters>
|
||||
};
|
||||
|
||||
// Create free functions for Enzyme to differentiate in the tests
|
||||
// Return by value version
|
||||
tensor<real_t, 3, 3> ComputeStress(
|
||||
J2Plasticity* material, tensor<real_t, 3, 3> dudxi,
|
||||
J2Plasticity::PackedInternalState Q, tensor<real_t, 3, 3> J, real_t w)
|
||||
{
|
||||
return material->stress(dudxi, Q, J, w);
|
||||
}
|
||||
|
||||
// Return by reference version
|
||||
void ComputeStressRef(const J2Plasticity* material, const tensor<real_t, 3, 3>& dudxi,
|
||||
const J2Plasticity::PackedInternalState& Q,
|
||||
const tensor<real_t, 3, 3>& J, real_t w,
|
||||
tensor<real_t, 3, 3>& sigma)
|
||||
{
|
||||
sigma = material->stress(dudxi, Q, J, w);
|
||||
}
|
||||
|
||||
template <int dim>
|
||||
real_t elementwise_max_norm(tensor<real_t, dim, dim> A) {
|
||||
real_t maxval = 0;
|
||||
for (int i = 0; i < dim; i++) {
|
||||
for (int j = 0; j < dim; j++) {
|
||||
maxval = std::max(std::abs(A[i][j]), maxval);
|
||||
}
|
||||
}
|
||||
return maxval;
|
||||
}
|
||||
|
||||
|
||||
TEST_CASE("Univariate function solver in a qfunction", "[univar]")
|
||||
{
|
||||
J2Plasticity material{70.0e3, 0.34, 240.0, 0.15, 1e-3};
|
||||
tensor<real_t, 3, 3> H{{{0.947667 , 0.9785799 , 0.33229148},
|
||||
{0.46866846, 0.5698887 , 0.16550303},
|
||||
{0.3101946 , 0.68948054, 0.74676657}}};
|
||||
J2Plasticity::PackedInternalState Q{};
|
||||
const tensor<real_t, 3, 3> J = IdentityMatrix<3>();
|
||||
const real_t w = 1.0;
|
||||
|
||||
SECTION("Correctness")
|
||||
{
|
||||
// Checks that stress after update is on the yield surface.
|
||||
auto [stress, Q_new] = material.update(H, Q, IdentityMatrix<3>(), 1.0);
|
||||
real_t mises = std::sqrt(1.5)*norm(dev(stress));
|
||||
real_t eqps = Q_new[9];
|
||||
// This test only makes sense if the displacement gradient is big enough to
|
||||
// cuase yielding.
|
||||
REQUIRE(eqps > 1e-9);
|
||||
real_t Y = FlowResistance(eqps, material.sigma_y, material.n, material.ep_0);
|
||||
CHECK(mises == MFEM_Approx(Y, 0.0, 1e-8));
|
||||
}
|
||||
|
||||
SECTION("JVP")
|
||||
{
|
||||
// Compare forward mode derivative to finite difference approximation
|
||||
|
||||
tensor<real_t, 3, 3> H_dot{{{1.0, 0.0 , 0.0},
|
||||
{0.0, 0.0 , 0.0},
|
||||
{0.0, 0.0 , 0.0}}};
|
||||
|
||||
// Enzyme directional derivative (uses custom derivative of solver)
|
||||
auto sigma_dot = __enzyme_fwddiff<tensor<real_t, 3, 3>>((void*)ComputeStress,
|
||||
enzyme_const, &material,
|
||||
enzyme_dup, H, H_dot,
|
||||
enzyme_const, Q,
|
||||
enzyme_const, J,
|
||||
enzyme_const, w);
|
||||
// sigma_dot = ∂sigma / ∂H[0, 0]
|
||||
REQUIRE(sigma_dot[0][0] > 0.0);
|
||||
|
||||
// Finite difference derivative approximation
|
||||
constexpr int dim = 3;
|
||||
real_t eps = 1e-5;
|
||||
tensor<real_t, 3, 3> sigma = ComputeStress(&material, H, Q, J, w);
|
||||
tensor<real_t, 3, 3> sigma_p = ComputeStress(&material, H + eps*H_dot, Q, J, w);
|
||||
tensor<real_t, 3, 3> sigma_dot_h = (1.0/eps)*(sigma_p - sigma);
|
||||
|
||||
tensor<real_t, 3, 3> rel_error = sigma_dot - sigma_dot_h;
|
||||
for (int i = 0; i < dim; i++) {
|
||||
for (int j = 0; j < dim; j++) {
|
||||
real_t denom = sigma[i][j] != 0? sigma[i][j] : 1.0;
|
||||
rel_error[i][j] /= denom;
|
||||
}
|
||||
}
|
||||
|
||||
CHECK(elementwise_max_norm(rel_error) < 1e-5);
|
||||
}
|
||||
|
||||
SECTION("VJP")
|
||||
{
|
||||
// compare reverse mode derivative to finite differences
|
||||
|
||||
tensor<real_t, 3, 3> sigma;
|
||||
ComputeStressRef(&material, H, Q, J, w, sigma);
|
||||
double epsilon = 1e-6;
|
||||
tensor<real_t, 3, 3> dH{{{1.0, 0.0, 0.0}, {0.0, 0.0, 0.0}, {0.0, 0.0, 0.0}}};
|
||||
auto H_p = H + epsilon*dH;
|
||||
tensor<real_t, 3, 3> sigma_p;
|
||||
ComputeStressRef(&material, H_p, Q, J, w, sigma_p);
|
||||
auto sigma_dot_h = (sigma_p - sigma)/epsilon;
|
||||
// Note: sigma_dot_h[i,j] = ∂sigma[i,j]/∂H[0,0]
|
||||
|
||||
tensor<real_t, 3, 3> sigma_bar{{{1.0, 0.0, 0.0},
|
||||
{0.0, 0.0, 0.0},
|
||||
{0.0, 0.0, 0.0}}};
|
||||
|
||||
tensor<real_t, 3, 3> H_bar{};
|
||||
J2Plasticity::PackedInternalState Q_bar{};
|
||||
tensor<real_t, 3, 3> J_bar{};
|
||||
__enzyme_autodiff<void>(
|
||||
(void*)ComputeStressRef, enzyme_const, &material, enzyme_dup, &H, &H_bar,
|
||||
enzyme_dup, &Q, &Q_bar, enzyme_dup, &J, &J_bar, enzyme_const, w,
|
||||
enzyme_dup, &sigma, &sigma_bar);
|
||||
|
||||
// H_bar[ij] = ∂sigma[0,0]/∂H[i,j]
|
||||
// For this model, we expect the major symmetries in the tangent operator.
|
||||
// Hence H_bar \approx sigma_dot_h
|
||||
|
||||
const double abs_tol = 1e-12;
|
||||
const double rel_tol = 5e-6;
|
||||
for (int i = 0; i < 3; i++) {
|
||||
for (int j = 0; j < 3; j++) {
|
||||
CHECK(H_bar[i][j] == MFEM_Approx(sigma_dot_h[i][j], abs_tol, rel_tol));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
real_t nthroot_res(real_t x, tuple<real_t, real_t> p)
|
||||
{
|
||||
auto [index, radicand] = p;
|
||||
return std::pow(x, index) - radicand;
|
||||
}
|
||||
|
||||
__attribute__((used))
|
||||
void* __enzyme_register_gradient_solver[3] = {
|
||||
(void*)mfem::internal::SolveNewtonBisection_impl<nthroot_res, tuple<real_t, real_t>>,
|
||||
(void*)mfem::internal::SolveNewtonBisection_impl_aug<nthroot_res, tuple<real_t, real_t>>,
|
||||
(void*)mfem::internal::SolveNewtonBisection_impl_rev<nthroot_res, tuple<real_t, real_t>>
|
||||
};
|
||||
|
||||
TEST_CASE("Univariate solver reverse mode derivative", "[univar]")
|
||||
{
|
||||
auto mysqrt = [](real_t x) -> real_t
|
||||
{
|
||||
real_t x0 = x;
|
||||
real_t index = 2.0;
|
||||
real_t ub = std::max(1.0, x);
|
||||
SolverSettings settings{1e-12, 1e-12, {0, ub}};
|
||||
return SolveNewtonBisection<nthroot_res>(x0, make_tuple(index, x), settings);
|
||||
};
|
||||
|
||||
real_t x = 2.0;
|
||||
real_t dydx = __enzyme_autodiff<real_t>((void*)+mysqrt, enzyme_out, x);
|
||||
CHECK(dydx == MFEM_Approx(0.5/std::sqrt(2.0)));
|
||||
}
|
||||
|
||||
TEST_CASE("Univariate function solver robustness", "[univar]")
|
||||
{
|
||||
SolverSettings settings{1e-12, 1e-12};
|
||||
|
||||
SECTION("Simple case")
|
||||
{
|
||||
auto Nthroot = [&settings](real_t x, real_t n) {
|
||||
real_t x0 = std::max(x, 1.0);
|
||||
settings.bounds = {0.0, x0};
|
||||
return SolveNewtonBisection<nthroot_res>(x0, make_tuple(n, x), settings);
|
||||
};
|
||||
real_t x = 8.0;
|
||||
real_t y = Nthroot(x, 3.0);
|
||||
CHECK(y == MFEM_Approx(2.0));
|
||||
}
|
||||
|
||||
SECTION("Stiff problem")
|
||||
{
|
||||
auto f = [](real_t x, real_t p) { return std::pow(x, p) - 1.0; };
|
||||
real_t x0 = 0.1;
|
||||
real_t p = 50;
|
||||
settings.bounds = {0.0, 5.1};
|
||||
real_t x = SolveNewtonBisection<+f>(x0, p, settings);
|
||||
CHECK(x == MFEM_Approx(1.0));
|
||||
}
|
||||
|
||||
SECTION("Works where Newton diverges")
|
||||
{
|
||||
auto f = [](double x, int) { return std::atan(x); };
|
||||
real_t x0 = 1.5;
|
||||
settings.bounds = {0.0, 2.0};
|
||||
real_t x = SolveNewtonBisection<+f>(x0, int{}, settings);
|
||||
CHECK(std::abs(x) == MFEM_Approx(0.0));
|
||||
}
|
||||
}
|
||||
|
||||
#endif // MFEM_USE_ENZYME
|
||||
@@ -117,3 +117,52 @@ TEST_CASE("Vector FE Face Restriction", "[FaceRestriction]")
|
||||
gf2 -= gf;
|
||||
REQUIRE(gf2.Normlinf() == MFEM_Approx(0.0));
|
||||
}
|
||||
|
||||
#ifdef MFEM_USE_MPI
|
||||
|
||||
TEST_CASE("L2 Face Restriction", "[FaceRestriction][Parallel]")
|
||||
{
|
||||
const int dim = GENERATE(2, 3);
|
||||
constexpr int nx = 3;
|
||||
constexpr int order = 2;
|
||||
constexpr int vdim = 2;
|
||||
const Ordering::Type ordering = GENERATE(Ordering::byNODES, Ordering::byVDIM);
|
||||
|
||||
Mesh serial_mesh = MakeCartesianMesh(nx, dim);
|
||||
ParMesh mesh(MPI_COMM_WORLD, serial_mesh);
|
||||
|
||||
L2_FECollection fec(order, dim, BasisType::GaussLobatto);
|
||||
ParFiniteElementSpace fes(&mesh, &fec, vdim, ordering);
|
||||
|
||||
auto *R = fes.GetFaceRestriction(ElementDofOrdering::LEXICOGRAPHIC,
|
||||
FaceType::Interior);
|
||||
|
||||
Vector vals({1.0, 2.0});
|
||||
VectorConstantCoefficient coeff(vals);
|
||||
|
||||
ParGridFunction gf(&fes);
|
||||
gf.ProjectCoefficient(coeff);
|
||||
|
||||
Vector face_vec(R->Height());
|
||||
R->Mult(gf, face_vec);
|
||||
|
||||
const int nf = mesh.GetNFbyType(FaceType::Interior);
|
||||
const int face_dofs = fes.GetTypicalTraceElement()->GetDof();
|
||||
auto h_face_vec = Reshape(face_vec.HostRead(), face_dofs, vdim, 2, nf);
|
||||
|
||||
for (int f = 0; f < nf; ++f)
|
||||
{
|
||||
for (int m = 0; m < 2; ++m)
|
||||
{
|
||||
for (int c = 0; c < vdim; ++c)
|
||||
{
|
||||
for (int i = 0; i < face_dofs; ++i)
|
||||
{
|
||||
REQUIRE(h_face_vec(i, c, m, f) == vals[c]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
Reference in New Issue
Block a user