mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
add a proof of concept autodiff jacobian helper class based on adolc
with unit test and FindAdolc cmake module
This commit is contained in:
@@ -2,7 +2,6 @@
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add_subdirectory(Eigen)
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if(EIGEN_BUILD_TESTS)
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include(CTest)
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add_subdirectory(test)
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endif(EIGEN_BUILD_TESTS)
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@@ -98,9 +98,9 @@ namespace adtl {
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}
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namespace Eigen { namespace unsupported { /*@}*/ } }
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namespace Eigen {
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template<> struct EigenNumTraits<adtl::adouble>
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template<> struct NumTraits<adtl::adouble>
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{
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typedef adtl::adouble Real;
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typedef adtl::adouble FloatingPoint;
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@@ -113,4 +113,60 @@ template<> struct EigenNumTraits<adtl::adouble>
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};
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};
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template<typename Functor> class AdolcForwardJacobian : public Functor
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{
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typedef adtl::adouble ActiveScalar;
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public:
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AdolcForwardJacobian() : Functor() {}
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AdolcForwardJacobian(const Functor& f) : Functor(f) {}
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// forward constructors
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template<typename T0>
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AdolcForwardJacobian(const T0& a0) : Functor(a0) {}
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template<typename T0, typename T1>
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AdolcForwardJacobian(const T0& a0, const T1& a1) : Functor(a0, a1) {}
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template<typename T0, typename T1, typename T2>
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AdolcForwardJacobian(const T0& a0, const T1& a1, const T1& a2) : Functor(a0, a1, a2) {}
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typedef typename Functor::InputType InputType;
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typedef typename Functor::ValueType ValueType;
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typedef typename Functor::JacobianType JacobianType;
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typedef Matrix<ActiveScalar, InputType::SizeAtCompileTime, 1> ActiveInput;
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typedef Matrix<ActiveScalar, ValueType::SizeAtCompileTime, 1> ActiveValue;
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void operator() (const InputType& x, ValueType* v, JacobianType* _jac) const
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{
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ei_assert(v!=0);
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if (!_jac)
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{
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Functor::operator()(x, v);
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return;
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}
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JacobianType& jac = *_jac;
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ActiveInput ax = x.template cast<ActiveScalar>();
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ActiveValue av(jac.rows());
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for (int j=0; j<jac.cols(); j++)
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for (int i=0; i<jac.cols(); i++)
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ax[i].setADValue(j, i==j ? 1 : 0);
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Functor::operator()(ax, &av);
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for (int i=0; i<jac.rows(); i++)
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{
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(*v)[i] = av[i].getValue();
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for (int j=0; j<jac.cols(); j++)
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jac.coeffRef(i,j) = av[i].getADValue(j);
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}
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}
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protected:
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};
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}
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#endif // EIGEN_ADLOC_FORWARD
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@@ -1,6 +1,16 @@
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enable_testing()
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include(EigenTesting)
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# ei_add_test(foo "CXXFLAGS" "libs")
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enable_testing()
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find_package(Adolc)
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include_directories(../../test)
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if(ADOLC_FOUND)
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include_directories(${ADOLC_INCLUDES})
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ei_add_property(EIGEN_TESTED_BACKENDS "Adolc")
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ei_add_test(forward_adolc " " ${ADOLC_LIBRARIES})
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else(ADOLC_FOUND)
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ei_add_property(EIGEN_MISSING_BACKENDS "Adolc")
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endif(ADOLC_FOUND)
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132
unsupported/test/forward_adolc.cpp
Normal file
132
unsupported/test/forward_adolc.cpp
Normal file
@@ -0,0 +1,132 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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#define NUMBER_DIRECTIONS 16
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#include <unsupported/Eigen/AdolcForward>
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int adtl::ADOLC_numDir;
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template<typename _Scalar, int NX, int NY>
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struct TestFunc1
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{
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typedef _Scalar Scalar;
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enum {
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InputsAtCompileTime = NX,
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ValuesAtCompileTime = NY
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};
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typedef Matrix<Scalar,InputsAtCompileTime,1> InputType;
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typedef Matrix<Scalar,ValuesAtCompileTime,1> ValueType;
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typedef Matrix<Scalar,ValuesAtCompileTime,InputsAtCompileTime> JacobianType;
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template<typename T>
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void operator() (const Matrix<T,InputsAtCompileTime,1>& x, Matrix<T,ValuesAtCompileTime,1>* _v) const
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{
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Matrix<T,ValuesAtCompileTime,1>& v = *_v;
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v[0] = 2 * x[0] * x[0] + x[0] * x[1];
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v[1] = 3 * x[1] * x[0] + 0.5 * x[1] * x[1];
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if(NX>2)
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{
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v[0] += 0.5 * x[2];
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v[1] += x[2];
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}
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if(NY>2)
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{
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v[2] = 3 * x[1] * x[0] * x[0];
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}
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if (NX>2 && NY>2)
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v[2] *= x[2];
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}
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void operator() (const InputType& x, ValueType* v, JacobianType* _j) const
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{
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(*this)(x, v);
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if(_j)
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{
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JacobianType& j = *_j;
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j(0,0) = 4 * x[0] + x[1];
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j(1,0) = 3 * x[1];
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j(0,1) = x[0];
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j(1,1) = 3 * x[0] + 2 * 0.5 * x[1];
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if (NX>2)
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{
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j(0,2) = 0.5;
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j(1,2) = 1;
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}
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if(NY>2)
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{
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j(2,0) = 3 * x[1] * 2 * x[0];
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j(2,1) = 3 * x[0] * x[0];
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}
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if (NX>2 && NY>2)
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{
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j(2,0) *= x[2];
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j(2,1) *= x[2];
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j(2,2) = 3 * x[1] * x[0] * x[0];
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j(2,2) = 3 * x[1] * x[0] * x[0];
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}
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}
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}
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};
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template<typename Func> void adolc_forward_jacobian(const Func& f)
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{
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typename Func::InputType x = Func::InputType::Random();
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typename Func::ValueType y, yref;
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typename Func::JacobianType j, jref;
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jref.setZero();
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yref.setZero();
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f(x,&yref,&jref);
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// std::cerr << y.transpose() << "\n\n";;
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// std::cerr << j << "\n\n";;
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j.setZero();
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y.setZero();
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AdolcForwardJacobian<Func> autoj(f);
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autoj(x, &y, &j);
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// std::cerr << y.transpose() << "\n\n";;
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// std::cerr << j << "\n\n";;
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VERIFY_IS_APPROX(y, yref);
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VERIFY_IS_APPROX(j, jref);
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}
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void test_forward_adolc()
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{
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adtl::ADOLC_numDir = NUMBER_DIRECTIONS;
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST(( adolc_forward_jacobian(TestFunc1<double,2,2>()) ));
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CALL_SUBTEST(( adolc_forward_jacobian(TestFunc1<double,2,3>()) ));
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CALL_SUBTEST(( adolc_forward_jacobian(TestFunc1<double,3,2>()) ));
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CALL_SUBTEST(( adolc_forward_jacobian(TestFunc1<double,3,3>()) ));
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}
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}
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