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