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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 batch_float_test
{
using batch_type = B;
using value_type = typename B::value_type;
static constexpr size_t size = B::size;
using array_type = std::array<value_type, size>;
using bool_array_type = std::array<bool, size>;
array_type lhs;
array_type rhs;
batch_float_test()
{
for (size_t i = 0; i < size; ++i)
{
lhs[i] = value_type(i) / 4 + value_type(1.2) * std::sqrt(value_type(i + 0.25));
if (lhs[i] == value_type(0))
{
lhs[i] += value_type(0.1);
}
rhs[i] = value_type(10.2) / (i + 2) + value_type(0.25);
}
}
void test_reciprocal() const
{
// reciprocal
{
array_type res, expected;
std::transform(lhs.cbegin(), lhs.cend(), expected.begin(),
[](const value_type& l)
{ return value_type(1) / l; });
batch_type res1 = reciprocal(batch_lhs());
res1.store_unaligned(res.data());
size_t diff = detail::get_nb_diff_near(res, expected, 1e-12f);
INFO("reciprocal");
CHECK_EQ(diff, 0);
}
}
void test_rsqrt() const
{
// rsqrt
{
array_type res, expected;
std::transform(lhs.cbegin(), lhs.cend(), expected.begin(),
[](const value_type& l)
{ return std::ceil((value_type(1) / std::sqrt(l)) * value_type(100)); });
batch_type res1 = ceil(rsqrt(batch_lhs()) * value_type(100));
res1.store_unaligned(res.data());
size_t diff = detail::get_nb_diff_near(res, expected, 1.5f * std::pow(2, 12));
INFO("rsqrt");
CHECK_EQ(diff, 0);
}
}
void test_sqrt() const
{
// sqrt
{
array_type expected;
std::transform(lhs.cbegin(), lhs.cend(), expected.begin(),
[](const value_type& l)
{ return std::sqrt(l); });
batch_type res = sqrt(batch_lhs());
INFO("sqrt");
CHECK_BATCH_EQ(res, expected);
}
}
void test_haddp() const
{
batch_type haddp_input[size];
for (size_t i = 0; i < size; i += 2)
{
haddp_input[i] = batch_lhs();
if (i + 1 < size)
{
haddp_input[i + 1] = batch_rhs();
}
}
array_type expected;
std::fill(expected.begin(), expected.end(), value_type(0));
for (size_t i = 0; i < size; ++i)
{
for (size_t j = 0; j < size; j += 2)
{
expected[j] += lhs[i];
if (j + 1 < size)
{
expected[j + 1] += rhs[i];
}
}
}
auto res = haddp(haddp_input);
INFO("haddp");
CHECK_BATCH_EQ(res, expected);
}
private:
batch_type batch_lhs() const
{
return batch_type::load_unaligned(lhs.data());
}
batch_type batch_rhs() const
{
return batch_type::load_unaligned(rhs.data());
}
};
TEST_CASE_TEMPLATE("[xsimd batch float]", B, BATCH_FLOAT_TYPES)
{
batch_float_test<B> Test;
SUBCASE("reciprocal") { Test.test_reciprocal(); }
SUBCASE("sqrt") { Test.test_sqrt(); }
SUBCASE("rsqrt") { Test.test_rsqrt(); }
SUBCASE("haddp") { Test.test_haddp(); }
}
#endif
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