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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
// ----------------------------------------------------------------------------
# include <cppad/cppad.hpp>
# include <omp.h>
namespace {
typedef CPPAD_TESTVECTOR(double) d_vector;
typedef CPPAD_TESTVECTOR( CppAD::AD<double> ) ad_vector;
// algorithm that we are checkpoingint
const size_t length_of_sum_ = 5000;
void long_sum_algo(const ad_vector& ax, ad_vector& ay)
{ ay[0] = 0.0;
for(size_t i = 0; i < length_of_sum_; ++i)
ay[0] += ax[0];
return;
}
// inform CppAD if we are in parallel mode
bool in_parallel(void)
{ return omp_in_parallel() != 0; }
//
// inform CppAD of the current thread number
size_t thread_num(void)
{ return static_cast<size_t>( omp_get_thread_num() ); }
}
// multi_thread_chkpoint_two
bool multi_chkpoint_two(void)
{ bool ok = true;
// OpenMP setup
size_t num_threads = 4; // number of threads
omp_set_dynamic(0); // turn off dynamic thread adjustment
omp_set_num_threads( int(num_threads) ); // set number of OMP threads
// check that multi-threading is possible on this machine
if( omp_get_max_threads() < 2 )
{ std::cout << "This machine does not support multi-threading: ";
}
// create ADFun corresponding to long_sum_algo
size_t n(1), m(1);
ad_vector ax(n), ay(m);
ax[0] = 2.0;
CppAD::Independent(ax);
long_sum_algo(ax, ay);
CppAD::ADFun<double> fun(ax, ay);
// create chkpoint_two version of algorithm
const char* name = "long_sum";
bool internal_bool = false;
bool use_hes_sparsity = false;
bool use_base2ad = false;
bool use_in_parallel = true;
CppAD::chkpoint_two<double> chk_fun( fun, name,
internal_bool, use_hes_sparsity, use_base2ad, use_in_parallel
);
// setup for using CppAD in parallel mode
CppAD::thread_alloc::parallel_setup(num_threads, in_parallel, thread_num);
CppAD::thread_alloc::hold_memory(true);
CppAD::parallel_ad<double>();
// place to hold result for each thread
d_vector y(num_threads);
for(size_t thread = 0; thread < num_threads; thread++)
y[thread] = 0.0;
# pragma omp parallel for
for(int thread = 0; thread < int(num_threads); thread++)
{ ad_vector au(n), av(m);
au[0] = 1.0;
CppAD::Independent(au);
chk_fun(au, av);
CppAD::ADFun<double> f(au, av);
//
d_vector x(n), v(m);
x[0] = double( thread + 1 );
v = f.Forward(0, x);
//
// this assignment has false sharing; i.e., will case cache resets
// (conversion avoids boost vector conversion warning)
y[size_t(thread)] = v[0];
}
// check the results
for(size_t thread = 0; thread < num_threads; thread++)
{ double check = double( length_of_sum_ * (thread + 1) );
ok &= check == y[thread];
}
return ok;
}
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