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Copy pathtest_error_gamma.cpp
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162 lines (151 loc) · 5.48 KB
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/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay, Wolf Vollprecht and *
* Martin Renou *
* Copyright (c) QuantStack *
* Copyright (c) Serge Guelton *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#include "xsimd/xsimd.hpp"
#ifndef XSIMD_NO_SUPPORTED_ARCHITECTURE
#include "test_utils.hpp"
template <class B>
struct error_gamma_test
{
using batch_type = B;
using value_type = typename B::value_type;
static constexpr size_t size = B::size;
using vector_type = std::vector<value_type>;
size_t nb_input;
vector_type input;
vector_type gamma_input;
vector_type gamma_neg_input;
vector_type expected;
error_gamma_test()
{
nb_input = size * 10000;
input.resize(nb_input);
gamma_input.resize(nb_input);
gamma_neg_input.resize(nb_input);
for (size_t i = 0; i < nb_input; ++i)
{
input[i] = value_type(-1.5) + i * value_type(3) / nb_input;
gamma_input[i] = value_type(0.5) + i * value_type(3) / nb_input;
gamma_neg_input[i] = value_type(-3.99) + i * value_type(0.9) / nb_input;
}
expected.resize(nb_input);
}
void test_error_functions()
{
// erf
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ return std::erf(v); });
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, input, i);
out = erf(in);
detail::load_batch(ref, expected, i);
INFO("erf");
CHECK_BATCH_EQ(ref, out);
}
}
// erfc
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ return std::erfc(v); });
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, input, i);
out = erfc(in);
detail::load_batch(ref, expected, i);
INFO("erfc");
CHECK_BATCH_EQ(ref, out);
}
}
}
void test_gamma_functions()
{
// tgamma
{
std::transform(gamma_input.cbegin(), gamma_input.cend(), expected.begin(),
[](const value_type& v)
{ return std::tgamma(v); });
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, gamma_input, i);
out = tgamma(in);
detail::load_batch(ref, expected, i);
INFO("tgamma");
CHECK_BATCH_EQ(ref, out);
}
}
// tgamma (negative input)
{
std::transform(gamma_neg_input.cbegin(), gamma_neg_input.cend(), expected.begin(),
[](const value_type& v)
{ return std::tgamma(v); });
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, gamma_neg_input, i);
out = tgamma(in);
detail::load_batch(ref, expected, i);
INFO("tgamma (negative input)");
CHECK_BATCH_EQ(ref, out);
}
}
// lgamma
{
std::transform(gamma_input.cbegin(), gamma_input.cend(), expected.begin(),
[](const value_type& v)
{ return std::lgamma(v); });
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, gamma_input, i);
out = lgamma(in);
detail::load_batch(ref, expected, i);
INFO("lgamma");
CHECK_BATCH_EQ(ref, out);
}
}
#if !(XSIMD_WITH_AVX && !XSIMD_WITH_AVX2)
// tgamma (negative input)
{
std::transform(gamma_neg_input.cbegin(), gamma_neg_input.cend(), expected.begin(),
[](const value_type& v)
{ return std::lgamma(v); });
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, gamma_neg_input, i);
out = lgamma(in);
detail::load_batch(ref, expected, i);
INFO("lgamma (negative input)");
CHECK_BATCH_EQ(ref, out);
}
}
#endif
}
};
TEST_CASE_TEMPLATE("[error gamma]", B, BATCH_FLOAT_TYPES)
{
error_gamma_test<B> Test;
SUBCASE("error")
{
Test.test_error_functions();
}
SUBCASE("gamma")
{
Test.test_gamma_functions();
}
}
#endif