mirror of
https://github.com/matrix-construct/construct
synced 2024-11-18 07:50:57 +01:00
102 lines
2 KiB
C++
102 lines
2 KiB
C++
// Matrix Construct
|
|
//
|
|
// Copyright (C) Matrix Construct Developers, Authors & Contributors
|
|
// Copyright (C) 2016-2021 Jason Volk <jason@zemos.net>
|
|
//
|
|
// Permission to use, copy, modify, and/or distribute this software for any
|
|
// purpose with or without fee is hereby granted, provided that the above
|
|
// copyright notice and this permission notice is present in all copies. The
|
|
// full license for this software is available in the LICENSE file.
|
|
|
|
#pragma once
|
|
#define HAVE_IRCD_MATH_NORM_H
|
|
|
|
namespace ircd::math
|
|
{
|
|
template<class T,
|
|
class D>
|
|
void
|
|
norm(const vector_view<T> &out,
|
|
const vector_view<const T> &in,
|
|
const simd::lane_type<T> &eps,
|
|
const vector_view<D> &tmp);
|
|
}
|
|
|
|
/// Renormalization.
|
|
///
|
|
/// TODO: Figure out how to use less double
|
|
template<class T,
|
|
class D>
|
|
inline void
|
|
ircd::math::norm(const vector_view<T> &__restrict__ out,
|
|
const vector_view<const T> &__restrict__ in,
|
|
const simd::lane_type<T> &epsilon,
|
|
const vector_view<D> &tmp)
|
|
{
|
|
using singlep = simd::lane_type<T>;
|
|
using doublep = simd::lane_type<D>;
|
|
|
|
static_assert(simd::lanes<T>() == simd::lanes<D>());
|
|
assert(out.size() >= in.size());
|
|
assert(tmp.size() >= in.size());
|
|
|
|
const size_t num
|
|
{
|
|
in.size()
|
|
};
|
|
|
|
const size_t elems
|
|
{
|
|
num * simd::lanes<T>()
|
|
};
|
|
|
|
const doublep mean
|
|
(
|
|
//TODO: XXX
|
|
math::mean<singlep, doublep>(vector_view<const singlep>
|
|
{
|
|
reinterpret_cast<const singlep *>(in.data()), elems
|
|
})
|
|
);
|
|
|
|
for(uint i(0); i < num; ++i)
|
|
{
|
|
const auto wider
|
|
{
|
|
lane_cast<D>(in[i])
|
|
};
|
|
|
|
tmp[i] = wider - mean;
|
|
|
|
const auto res
|
|
{
|
|
pow(tmp[i], 2)
|
|
};
|
|
|
|
out[i] = lane_cast<T>(res);
|
|
}
|
|
|
|
const doublep s
|
|
(
|
|
//TODO: XXX
|
|
math::mean<singlep, doublep>(vector_view<const singlep>
|
|
{
|
|
reinterpret_cast<const singlep *>(out.data()), elems
|
|
})
|
|
);
|
|
|
|
const doublep divisor
|
|
(
|
|
sqrt(s + epsilon)
|
|
);
|
|
|
|
for(uint i(0); i < num; ++i)
|
|
{
|
|
const auto res
|
|
{
|
|
tmp[i] / divisor
|
|
};
|
|
|
|
out[i] = lane_cast<T>(res);
|
|
}
|
|
}
|