GOSTCoin CUDA miner project, compatible with most nvidia cards, containing only gostd algo
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/*
*
* Copyright 2008-2012 NVIDIA Corporation
*
* 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.
*/
#include <thrust/random/normal_distribution.h>
#include <thrust/random/uniform_real_distribution.h>
#include <thrust/detail/cstdint.h>
#include <thrust/detail/integer_traits.h>
// for floating point infinity
#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC
#include <math_constants.h>
#else
#include <limits>
#endif
namespace thrust
{
namespace random
{
template<typename RealType>
normal_distribution<RealType>
::normal_distribution(RealType a, RealType b)
:super_t(),m_param(a,b)
{
} // end normal_distribution::normal_distribution()
template<typename RealType>
normal_distribution<RealType>
::normal_distribution(const param_type &parm)
:super_t(),m_param(parm)
{
} // end normal_distribution::normal_distribution()
template<typename RealType>
void normal_distribution<RealType>
::reset(void)
{
super_t::reset();
} // end normal_distribution::reset()
template<typename RealType>
template<typename UniformRandomNumberGenerator>
typename normal_distribution<RealType>::result_type
normal_distribution<RealType>
::operator()(UniformRandomNumberGenerator &urng)
{
return operator()(urng, m_param);
} // end normal_distribution::operator()()
template<typename RealType>
template<typename UniformRandomNumberGenerator>
typename normal_distribution<RealType>::result_type
normal_distribution<RealType>
::operator()(UniformRandomNumberGenerator &urng,
const param_type &parm)
{
return super_t::sample(urng, parm.first, parm.second);
} // end normal_distribution::operator()()
template<typename RealType>
typename normal_distribution<RealType>::param_type
normal_distribution<RealType>
::param(void) const
{
return m_param;
} // end normal_distribution::param()
template<typename RealType>
void normal_distribution<RealType>
::param(const param_type &parm)
{
m_param = parm;
} // end normal_distribution::param()
template<typename RealType>
typename normal_distribution<RealType>::result_type
normal_distribution<RealType>
::min THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
return -this->max();
} // end normal_distribution::min()
template<typename RealType>
typename normal_distribution<RealType>::result_type
normal_distribution<RealType>
::max THRUST_PREVENT_MACRO_SUBSTITUTION (void) const
{
// XXX this solution is pretty terrible
// we can't use numeric_traits<RealType>::max because nvcc will
// complain that it is a __host__ function
union
{
thrust::detail::uint32_t inf_as_int;
float result;
} hack;
hack.inf_as_int = 0x7f800000u;
return hack.result;
} // end normal_distribution::max()
template<typename RealType>
typename normal_distribution<RealType>::result_type
normal_distribution<RealType>
::mean(void) const
{
return m_param.first;
} // end normal_distribution::mean()
template<typename RealType>
typename normal_distribution<RealType>::result_type
normal_distribution<RealType>
::stddev(void) const
{
return m_param.second;
} // end normal_distribution::stddev()
template<typename RealType>
bool normal_distribution<RealType>
::equal(const normal_distribution &rhs) const
{
return m_param == rhs.param();
}
template<typename RealType>
template<typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
normal_distribution<RealType>
::stream_out(std::basic_ostream<CharT,Traits> &os) const
{
typedef std::basic_ostream<CharT,Traits> ostream_type;
typedef typename ostream_type::ios_base ios_base;
// save old flags and fill character
const typename ios_base::fmtflags flags = os.flags();
const CharT fill = os.fill();
const CharT space = os.widen(' ');
os.flags(ios_base::dec | ios_base::fixed | ios_base::left);
os.fill(space);
os << mean() << space << stddev();
// restore old flags and fill character
os.flags(flags);
os.fill(fill);
return os;
}
template<typename RealType>
template<typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
normal_distribution<RealType>
::stream_in(std::basic_istream<CharT,Traits> &is)
{
typedef std::basic_istream<CharT,Traits> istream_type;
typedef typename istream_type::ios_base ios_base;
// save old flags
const typename ios_base::fmtflags flags = is.flags();
is.flags(ios_base::skipws);
is >> m_param.first >> m_param.second;
// restore old flags
is.flags(flags);
return is;
}
template<typename RealType>
bool operator==(const normal_distribution<RealType> &lhs,
const normal_distribution<RealType> &rhs)
{
return thrust::random::detail::random_core_access::equal(lhs,rhs);
}
template<typename RealType>
bool operator!=(const normal_distribution<RealType> &lhs,
const normal_distribution<RealType> &rhs)
{
return !(lhs == rhs);
}
template<typename RealType,
typename CharT, typename Traits>
std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits> &os,
const normal_distribution<RealType> &d)
{
return thrust::random::detail::random_core_access::stream_out(os,d);
}
template<typename RealType,
typename CharT, typename Traits>
std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits> &is,
normal_distribution<RealType> &d)
{
return thrust::random::detail::random_core_access::stream_in(is,d);
}
} // end random
} // end thrust