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//
// Copyright (c) 2017 The Khronos Group Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
#ifndef TEST_CONFORMANCE_CLCPP_UTILS_TEST_GENERATE_INPUTS_HPP
#define TEST_CONFORMANCE_CLCPP_UTILS_TEST_GENERATE_INPUTS_HPP
#include <random>
#include <limits>
#include <type_traits>
#include <algorithm>
#include <cmath>
#include "../common.hpp"
template <class type>
std::vector<type> generate_input(size_t count,
const type& min,
const type& max,
const std::vector<type> special_cases,
typename std::enable_if<
is_vector_type<type>::value
&& std::is_integral<typename scalar_type<type>::type>::value
// std::uniform_int_distribution<> does not work in VS2015 for cl_uchar and cl_char,
// because VS2015 thinks that use cl_int, because VS2015 thinks cl_uchar cl_char are
// not int types
&& !(std::is_same<typename scalar_type<type>::type, cl_uchar>::value
|| std::is_same<typename scalar_type<type>::type, cl_char>::value)
>::type* = 0)
{
typedef typename scalar_type<type>::type SCALAR;
const size_t vec_size = vector_size<type>::value;
std::vector<type> input(count);
std::random_device rd;
std::mt19937 gen(rd());
std::vector<std::uniform_int_distribution<SCALAR>> dists(vec_size);
for(size_t i = 0; i < vec_size; i++)
{
dists[i] = std::uniform_int_distribution<SCALAR>(min.s[i], max.s[i]);
}
for(auto& i : input)
{
for(size_t j = 0; j < vec_size; j++)
{
i.s[j] = dists[j](gen);
}
}
input.insert(input.begin(), special_cases.begin(), special_cases.end());
input.resize(count);
return input;
}
template <class type>
std::vector<type> generate_input(size_t count,
const type& min,
const type& max,
const std::vector<type> special_cases,
typename std::enable_if<
is_vector_type<type>::value
&& std::is_integral<typename scalar_type<type>::type>::value
// std::uniform_int_distribution<> does not work in VS2015 for cl_uchar and cl_char,
// because VS2015 thinks that use cl_int, because VS2015 thinks cl_uchar cl_char are
// not int types
&& (std::is_same<typename scalar_type<type>::type, cl_uchar>::value
|| std::is_same<typename scalar_type<type>::type, cl_char>::value)
>::type* = 0)
{
typedef typename scalar_type<type>::type SCALAR;
const size_t vec_size = vector_size<type>::value;
std::vector<type> input(count);
std::random_device rd;
std::mt19937 gen(rd());
std::vector<std::uniform_int_distribution<cl_int>> dists(vec_size);
for(size_t i = 0; i < vec_size; i++)
{
dists[i] = std::uniform_int_distribution<cl_int>(
static_cast<cl_int>(min.s[i]),
static_cast<cl_int>(max.s[i])
);
}
for(auto& i : input)
{
for(size_t j = 0; j < vec_size; j++)
{
i.s[j] = static_cast<SCALAR>(dists[j](gen));
}
}
input.insert(input.begin(), special_cases.begin(), special_cases.end());
input.resize(count);
return input;
}
template <class type>
std::vector<type> generate_input(size_t count,
const type& min,
const type& max,
const std::vector<type> special_cases,
typename std::enable_if<
!is_vector_type<type>::value
&& std::is_integral<type>::value
// std::uniform_int_distribution<> does not work in VS2015 for cl_uchar and cl_char,
// because VS2015 thinks that use cl_int, because VS2015 thinks cl_uchar cl_char are
// not int types
&& !(std::is_same<type, cl_uchar>::value || std::is_same<type, cl_char>::value)
>::type* = 0)
{
std::vector<type> input(count);
std::random_device rd;
std::mt19937 gen(rd());
std::uniform_int_distribution<type> dis(min, max);
for(auto& i : input)
{
i = dis(gen);
}
input.insert(input.begin(), special_cases.begin(), special_cases.end());
input.resize(count);
return input;
}
template <class type>
std::vector<type> generate_input(size_t count,
const type& min,
const type& max,
const std::vector<type> special_cases,
typename std::enable_if<
!is_vector_type<type>::value
&& std::is_integral<type>::value
// std::uniform_int_distribution<> does not work in VS2015 for cl_uchar and cl_char,
// because VS2015 thinks that use cl_int, because VS2015 thinks cl_uchar cl_char are
// not int types
&& (std::is_same<type, cl_uchar>::value || std::is_same<type, cl_char>::value)
>::type* = 0)
{
std::vector<type> input(count);
std::random_device rd;
std::mt19937 gen(rd());
std::uniform_int_distribution<cl_int> dis(
static_cast<cl_int>(min), static_cast<cl_int>(max)
);
for(auto& i : input)
{
i = static_cast<type>(dis(gen));
}
input.insert(input.begin(), special_cases.begin(), special_cases.end());
input.resize(count);
return input;
}
template <class type>
std::vector<type> generate_input(size_t count,
const type& min,
const type& max,
const std::vector<type> special_cases,
typename std::enable_if<
is_vector_type<type>::value
&& std::is_floating_point<typename scalar_type<type>::type>::value
>::type* = 0)
{
typedef typename scalar_type<type>::type SCALAR;
const size_t vec_size = vector_size<type>::value;
std::vector<type> input(count);
std::random_device rd;
std::mt19937 gen(rd());
std::vector<std::uniform_real_distribution<SCALAR>> dists(vec_size);
for(size_t i = 0; i < vec_size; i++)
{
// Fatal error
if(std::fpclassify(max.s[i]) == FP_SUBNORMAL || std::fpclassify(min.s[i]) == FP_SUBNORMAL)
{
log_error("ERROR: min and max value for input generation CAN NOT BE subnormal\n");
}
dists[i] = std::uniform_real_distribution<SCALAR>(min.s[i], max.s[i]);
}
for(auto& i : input)
{
for(size_t j = 0; j < vec_size; j++)
{
SCALAR x = dists[j](gen);
while(std::fpclassify(x) == FP_SUBNORMAL)
{
x = dists[j](gen);
}
i.s[j] = x;
}
}
input.insert(input.begin(), special_cases.begin(), special_cases.end());
input.resize(count);
return input;
}
template <class type>
std::vector<type> generate_input(size_t count,
const type& min,
const type& max,
const std::vector<type> special_cases,
typename std::enable_if<
!is_vector_type<type>::value
&& std::is_floating_point<type>::value
>::type* = 0)
{
// Fatal error
if(std::fpclassify(max) == FP_SUBNORMAL || std::fpclassify(min) == FP_SUBNORMAL)
{
log_error("ERROR: min and max value for input generation CAN NOT BE subnormal\n");
}
std::vector<type> input(count);
std::random_device rd;
std::mt19937 gen(rd());
std::uniform_real_distribution<type> dis(min, max);
for(auto& i : input)
{
type x = dis(gen);
while(std::fpclassify(x) == FP_SUBNORMAL)
{
x = dis(gen);
}
i = x;
}
input.insert(input.begin(), special_cases.begin(), special_cases.end());
input.resize(count);
return input;
}
template <class type>
std::vector<type> generate_output(size_t count,
typename scalar_type<type>::type svalue = typename scalar_type<type>::type(0),
typename std::enable_if<is_vector_type<type>::value>::type* = 0)
{
type value;
for(size_t i = 0; i < vector_size<type>::value; i++)
value.s[i] = svalue;
return std::vector<type>(count, value);
}
template <class type>
std::vector<type> generate_output(size_t count,
type svalue = type(0),
typename std::enable_if<!is_vector_type<type>::value>::type* = 0)
{
return std::vector<type>(count, svalue);
}
template<class T, class K>
void prepare_special_cases(std::vector<T>& in1_spec_cases, std::vector<K>& in2_spec_cases)
{
if(in1_spec_cases.empty() || in2_spec_cases.empty())
{
return;
}
size_t new_size = in1_spec_cases.size() * in2_spec_cases.size();
std::vector<T> new_in1(new_size);
std::vector<K> new_in2(new_size);
for(size_t i = 0; i < in1_spec_cases.size(); i++)
{
for(size_t j = 0; j < in2_spec_cases.size(); j++)
{
new_in1[(i * in2_spec_cases.size()) + j] = in1_spec_cases[i];
new_in2[(i * in2_spec_cases.size()) + j] = in2_spec_cases[j];
}
}
in1_spec_cases = new_in1;
in2_spec_cases = new_in2;
}
template<class T, class K, class M>
void prepare_special_cases(std::vector<T>& in1_spec_cases,
std::vector<K>& in2_spec_cases,
std::vector<M>& in3_spec_cases)
{
if(in3_spec_cases.empty())
{
return prepare_special_cases(in1_spec_cases, in2_spec_cases);
}
else if (in2_spec_cases.empty())
{
return prepare_special_cases(in1_spec_cases, in3_spec_cases);
}
else if (in1_spec_cases.empty())
{
return prepare_special_cases(in2_spec_cases, in3_spec_cases);
}
size_t new_size = in1_spec_cases.size() * in2_spec_cases.size() * in3_spec_cases.size();
std::vector<T> new_in1(new_size);
std::vector<K> new_in2(new_size);
std::vector<M> new_in3(new_size);
for(size_t i = 0; i < in1_spec_cases.size(); i++)
{
for(size_t j = 0; j < in2_spec_cases.size(); j++)
{
for(size_t k = 0; k < in3_spec_cases.size(); k++)
{
size_t idx =
(i * in2_spec_cases.size() * in3_spec_cases.size())
+ (j * in3_spec_cases.size())
+ k;
new_in1[idx] = in1_spec_cases[i];
new_in2[idx] = in2_spec_cases[j];
new_in3[idx] = in3_spec_cases[k];
}
}
}
in1_spec_cases = new_in1;
in2_spec_cases = new_in2;
in3_spec_cases = new_in3;
}
#endif // TEST_CONFORMANCE_CLCPP_UTILS_TEST_GENERATE_INPUTS_HPP