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// SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
// SPDX-FileCopyrightText: Bradley M. Bell <bradbell@seanet.com>
// SPDX-FileContributor: 2003-22 Bradley M. Bell
// ----------------------------------------------------------------------------
// Test that reverse mode handles conditional expressions properly
// in that infinity and nans do not propagate thouh un-used case.
# include <cppad/cppad.hpp>
bool cond_exp_rev(void)
{ bool ok = true;
using CppAD::vector;
using CppAD::AD;
AD<double> anan = std::numeric_limits<double>::quiet_NaN();
AD<double> azero = 0.0;
size_t n = 2;
vector< AD<double> > ax(n), ay;
ax[0] = 1.0;
ax[1] = anan;
Independent(ax);
// AbsOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], fabs(ax[1]) ));
// AcosOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], acos(ax[1]) ));
// AddvvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], ax[0] + ax[1] ));
// AddpvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], 1.0 + ax[1] ));
// AsinOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], asin(ax[1]) ));
// AtanOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], atan(ax[1]) ));
// CosOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], cos(ax[1]) ));
// CoshOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], cosh(ax[1]) ));
// DivvvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], ax[0] / ax[1] ));
// DivpvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], 1.0 / ax[1] ));
// DivvpOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], ax[1] / 2.0 ));
// ErfOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], erf(ax[1]) ));
// ExpOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], exp(ax[1]) ));
// LogOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], log(ax[1]) ));
// MulvvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], ax[0] * ax[1] ));
// MulpvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], 2.0 * ax[1] ));
// PowvvOP
// uses check in log, mul, and exp
ay.push_back( CondExpGt(ax[0], azero, ax[0], pow(ax[1], ax[1]) ));
// PowvpOP
// uses check in log, mul, and exp
ay.push_back( CondExpGt(ax[0], azero, ax[0], pow(ax[1], 2.0) ));
// PowpvOP
// uses check in log, mul, and exp
ay.push_back( CondExpGt(ax[0], azero, ax[0], pow(2.0, ax[1]) ));
// SignOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], sign(ax[1]) ));
// SinOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], sin(ax[1]) ));
// SinhOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], sinh(ax[1]) ));
// SqrtOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], sqrt(ax[1]) ));
// SubvvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], ax[0] - ax[1] ));
// SubpvOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], 1.0 - ax[1] ));
// SubvpOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], ax[1] - 1.0 ));
// TanOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], tan(ax[1]) ));
// TanhOp
ay.push_back( CondExpGt(ax[0], azero, ax[0], tanh(ax[1]) ));
// create f : x -> y
size_t m = ay.size();
CppAD::ADFun<double> f(ax, ay);
// weighting vector and reverse mode derivative
vector<double> w(m), dw(n);
for(size_t i = 0; i < m; i++)
w[i] = 0.0;
// check DivvOp
for(size_t i = 0; i < m; i++)
{ w[i] = 1.0;
dw = f.Reverse(1, w);
ok &= dw[0] == 1.0;
ok &= dw[1] == 0.0;
w[i] = 0.0;
}
return ok;
}
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