view_to_simd.hpp

Go to the documentation of this file.

// -----------------------------------------------------------------------------------------------------
// Copyright (c) 2006-2020, Knut Reinert & Freie Universität Berlin
// Copyright (c) 2016-2020, Knut Reinert & MPI für molekulare Genetik
// This file may be used, modified and/or redistributed under the terms of the 3-clause BSD-License
// shipped with this file and also available at: https://github.com/seqan/seqan3/blob/master/LICENSE.md
// -----------------------------------------------------------------------------------------------------
 
#pragma once
 
#include <seqan3/core/detail/pack_algorithm.hpp>
#include <seqan3/core/simd/concept.hpp>
#include <seqan3/core/simd/simd_algorithm.hpp>
#include <seqan3/core/simd/simd_traits.hpp>
#include <seqan3/core/simd/simd.hpp>
#include <seqan3/core/type_traits/range.hpp>
#include <seqan3/core/type_traits/template_inspection.hpp>
#include <seqan3/range/views/detail.hpp>
#include <seqan3/range/views/type_reduce.hpp>
#include <seqan3/range/views/zip.hpp>
#include <seqan3/std/algorithm>
#include <seqan3/std/iterator>
#include <seqan3/std/ranges>
 
#include <seqan3/core/debug_stream.hpp>
 
namespace seqan3::detail
{
 
template <std::ranges::view urng_t, simd::simd_concept simd_t>
class view_to_simd : public std::ranges::view_interface<view_to_simd<urng_t, simd_t>>
{
private:
 
    static_assert(std::ranges::forward_range<urng_t>,
                  "The underlying range must model forward_range.");
    static_assert(std::ranges::input_range<value_type_t<urng_t>>,
                  "Expects the value type of the underlying range to be an input_range.");
    static_assert(std::default_constructible<value_type_t<urng_t>>,
                  "Expects the inner range to be default constructible.");
    static_assert(semialphabet<value_type_t<value_type_t<urng_t>>>,
                  "Expects semi-alphabet as value type of the inner range.");
 
    using inner_range_type = value_type_t<urng_t>; 
    using chunk_type = std::array<simd_t, simd_traits<simd_t>::length>; 
    using scalar_type = typename simd_traits<simd_t>::scalar_type; 
    using max_simd_type = simd_type_t<uint8_t, simd_traits<simd_t>::max_length>;
 
    static constexpr bool fast_load = std::ranges::contiguous_range<inner_range_type> &&
                                      std::sized_sentinel_for<std::ranges::iterator_t<inner_range_type>,
                                                              std::ranges::sentinel_t<inner_range_type>> &&
                                      sizeof(alphabet_rank_t<value_type_t<inner_range_type>>) == 1;
 
    static constexpr uint8_t chunk_size = simd_traits<simd_t>::length;
    static constexpr uint8_t chunks_per_load = simd_traits<simd_t>::max_length / chunk_size;
    static constexpr uint8_t total_chunks = fast_load ? (chunks_per_load * chunks_per_load) : 1;
    static constexpr auto alphabet_size = alphabet_size<value_type_t<inner_range_type>>;
 
    // Forward declare class' iterator type. See definition below.
    struct iterator_type;
 
public:
 
    constexpr view_to_simd() = default; 
    constexpr view_to_simd(view_to_simd const &) = default; 
    constexpr view_to_simd(view_to_simd &&) = default; 
    constexpr view_to_simd & operator=(view_to_simd const &) = default; 
    constexpr view_to_simd & operator=(view_to_simd &&) = default; 
    ~view_to_simd() = default; 
 
    constexpr view_to_simd(urng_t urng, scalar_type const padding_value = alphabet_size) :
        urng{std::move(urng)},
        padding_simd_vector{simd::fill<simd_t>(padding_value)},
        padding_value{padding_value}
    {
        // Check if the size is less or equal the simd size.
        if (std::ranges::distance(urng) > chunk_size)
            throw std::invalid_argument{"The size of the underlying range must be less than or equal to the size of "
                                        "the given simd type!"};
    }
 
    template <typename other_urng_t>
    requires !std::same_as<remove_cvref_t<other_urng_t>, view_to_simd> &&
             !std::same_as<other_urng_t, urng_t> &&
             std::ranges::viewable_range<other_urng_t>
    constexpr view_to_simd(other_urng_t && urng, scalar_type const padding_value = alphabet_size) :
        view_to_simd{views::type_reduce(std::forward<other_urng_t>(urng)), padding_value}
    {}
 
    constexpr iterator_type begin() noexcept
    {
        return {*this};
    }
 
    constexpr void begin() const noexcept = delete;
    constexpr void cbegin() const noexcept = delete;
 
    constexpr std::ranges::default_sentinel_t end() noexcept
    {
        return std::ranges::default_sentinel;
    }
 
    constexpr void end() const noexcept = delete;
    constexpr void cend() const noexcept = delete;
 
    constexpr size_t size() const noexcept
        requires std::ranges::sized_range<inner_range_type>
    {
        auto it = std::ranges::max_element(urng, [] (auto & lhs, auto & rhs)
        {
            return std::ranges::size(lhs) < std::ranges::size(rhs);
        });
 
        return (it != std::ranges::end(urng)) ? (std::ranges::size(*it) + chunk_size - 1) / chunk_size : 0;
    }
 
private:
 
    urng_t urng{}; 
    value_type_t<urng_t> empty_inner_range{}; 
    std::array<chunk_type, total_chunks> cached_simd_chunks{}; 
    simd_t padding_simd_vector{}; 
    scalar_type padding_value{}; 
};
 
template <std::ranges::view urng_t, simd::simd_concept simd_t>
class view_to_simd<urng_t, simd_t>::iterator_type
{
public:
    using reference = std::span<std::ranges::range_value_t<chunk_type>>; 
    using value_type = chunk_type; 
    using pointer = void; 
    using difference_type = ptrdiff_t; 
    using iterator_category = std::input_iterator_tag; 
    using iterator_concept = iterator_category; 
 
    constexpr iterator_type()                                  = default; 
    constexpr iterator_type(iterator_type const &)             = default; 
    constexpr iterator_type(iterator_type &&)                  = default; 
    constexpr iterator_type & operator=(iterator_type const &) = default; 
    constexpr iterator_type & operator=(iterator_type &&)      = default; 
    ~iterator_type()                                           = default; 
 
    constexpr iterator_type(view_to_simd & this_view) : this_view{&this_view}, current_chunk_pos{0}
    {
        // Initialise the iterator of the sub ranges.
        size_t seq_id = 0;
        for (auto it = std::ranges::begin(this_view.urng); it != std::ranges::end(this_view.urng); ++it, ++seq_id)
        {
            cached_iter[seq_id] = std::ranges::begin(*it);
            cached_sentinel[seq_id] = std::ranges::end(*it);
        }
 
        // If the batch is not full, i.e. less than chunk_size many sequences, then fill them up with dummy sequences.
        for (; seq_id < chunk_size; ++seq_id)
        {
            cached_iter[seq_id] = std::ranges::begin(this_view.empty_inner_range);
            cached_sentinel[seq_id] = std::ranges::end(this_view.empty_inner_range);
        }
        // Check if this is the final chunk already.
        final_chunk = all_iterators_reached_sentinel();
 
        // Fetch the next available input characters from the sequences and transform them into simd vectors.
        underflow();
    }
 
    constexpr reference operator*() const noexcept
    {
        assert(this_view != nullptr);
        return std::span{this_view->cached_simd_chunks[current_chunk_pos].begin(),
                         (current_chunk_pos == final_chunk_pos) ? final_chunk_size : chunk_size};
    }
 
    constexpr iterator_type & operator++(/*pre-increment*/)
    {
        if constexpr (fast_load)
        { // Check if cached chunks have been already consumed and we need to fetch the next chunks.
            if (current_chunk_pos == final_chunk_pos)
            {
                underflow();
                current_chunk_pos = 0;
            }
            else
            {
                ++current_chunk_pos;
            }
        }
        else // In case fast load is not available only one chunk is filled at a time.
        {
            underflow();
        }
 
        return *this;
    }
 
    constexpr value_type operator++(int /*post-increment*/)
    {
        value_type tmp = this->operator*();
        ++(*this);
        return tmp;
    }
 
    constexpr bool operator==(std::ranges::default_sentinel_t const &) const noexcept
    {
        return at_end;
    }
 
    friend constexpr bool operator==(std::ranges::default_sentinel_t const &, iterator_type const & rhs) noexcept
    {
        return rhs.at_end;
    }
 
    constexpr bool operator!=(std::ranges::default_sentinel_t const &) const noexcept
    {
        return !at_end;
    }
 
    friend constexpr bool operator!=(std::ranges::default_sentinel_t const &, iterator_type const & rhs) noexcept
    {
        return !rhs.at_end;
    }
 
private:
    auto unpack(max_simd_type const & row) const
    {
        if constexpr (chunk_size == simd_traits<max_simd_type>::length / 2)  // upcast into 2 vectors.
        {
            return std::array{simd::upcast<simd_t>(extract_halve<0>(row)),  // 1. half
                              simd::upcast<simd_t>(extract_halve<1>(row))}; // 2. half
        }
        else if constexpr (chunk_size == simd_traits<max_simd_type>::length / 4) // upcast into 4 vectors.
        {
            return std::array{simd::upcast<simd_t>(extract_quarter<0>(row)),  // 1. quarter
                              simd::upcast<simd_t>(extract_quarter<1>(row)),  // 2. quarter
                              simd::upcast<simd_t>(extract_quarter<2>(row)),  // 3. quarter
                              simd::upcast<simd_t>(extract_quarter<3>(row))}; // 4. quarter
        }
        else if constexpr (chunk_size == simd_traits<max_simd_type>::length / 8) // upcast into 8 vectors.
        {
            return std::array{simd::upcast<simd_t>(extract_eighth<0>(row)),   // 1. eighth
                              simd::upcast<simd_t>(extract_eighth<1>(row)),   // 2. eighth
                              simd::upcast<simd_t>(extract_eighth<2>(row)),   // 3. eighth
                              simd::upcast<simd_t>(extract_eighth<3>(row)),   // 4. eighth
                              simd::upcast<simd_t>(extract_eighth<4>(row)),   // 5. eighth
                              simd::upcast<simd_t>(extract_eighth<5>(row)),   // 6. eighth
                              simd::upcast<simd_t>(extract_eighth<6>(row)),   // 7. eighth
                              simd::upcast<simd_t>(extract_eighth<7>(row))};  // 8. eighth
        }
        else
        {
            return std::array{simd::upcast<simd_t>(row)};
        }
    }
 
    constexpr void split_into_sub_matrices(std::array<max_simd_type, simd_traits<max_simd_type>::length> matrix) const
    {
        auto apply_padding = [this] (simd_t const vec)
        {
            return (vec == simd::fill<simd_t>(static_cast<uint8_t>(~0))) ? this_view->padding_simd_vector : vec;
        };
 
        // Iterate over the rows of the matrix
        for (uint8_t row = 0; row < static_cast<uint8_t>(matrix.size()); ++row)
        {
            // split a row into multiple chunks of size `chunk_size`
            auto chunked_row = unpack(matrix[row]);
 
            if constexpr (chunked_row.size() == 1)
            {
                this_view->cached_simd_chunks[0][row] = apply_padding(std::move(chunked_row[0]));
            }
            else // Parse the tuple elements and store them in the cached simd chunks.
            {
                static_assert(chunked_row.size() == chunks_per_load, "Expected chunks_per_load many simd vectors.");
 
                for (uint8_t chunk = 0; chunk < chunks_per_load; ++chunk)  // store chunks in respective cached entries.
                {
                    size_t idx = chunk * chunks_per_load + row / chunk_size;
                    this_view->cached_simd_chunks[idx][row % chunk_size] = apply_padding(std::move(chunked_row[chunk]));
                }
            }
        }
    }
 
    constexpr bool all_iterators_reached_sentinel() const noexcept
    {
        using std::get;
 
        return std::ranges::all_of(views::zip(cached_iter, cached_sentinel), [] (auto && iterator_sentinel_pair)
        {
            return get<0>(iterator_sentinel_pair) == get<1>(iterator_sentinel_pair);
        });
    }
 
    constexpr simd_t convert_single_column()
        noexcept
    {
        simd_t simd_column{};
        for (size_t idx = 0u; idx < chunk_size; ++idx)
        {
            if (cached_iter[idx] == cached_sentinel[idx])
            {
                simd_column[idx] = this_view->padding_value;
            }
            else
            {
                simd_column[idx] = static_cast<scalar_type>(seqan3::to_rank(*cached_iter[idx]));
                ++cached_iter[idx];
            }
        };
        return simd_column;
    }
 
    template <typename array_t>
    constexpr void update_final_chunk_position(array_t const & iterators_before_update) noexcept
    {
        size_t max_distance = 0;
        for (auto && [it, sent] : views::zip(iterators_before_update, cached_sentinel))
            max_distance = std::max<size_t>(std::ranges::distance(it, sent), max_distance);
 
        assert(max_distance > 0);
        assert(max_distance <= (total_chunks * chunk_size));
 
        --max_distance;
        final_chunk_pos = max_distance  / chunk_size;
        // first we should be able to check the chunk position.
        final_chunk_size = (max_distance % chunk_size) + 1;
    }
 
    constexpr void underflow()
        requires fast_load
    {
        at_end = final_chunk;
        if (at_end)  // reached end of stream.
            return;
        // For the efficient load we assume at most one byte sized alphabets.
        // Hence we can load `simd_traits<simd_t>::max_length` length many elements at once.
        // Depending on the packing of `simd_t` we can prefetch blocks and store them in the `cached_simd_chunks`.
        // E.g. assume `simd_t` with length 8 on SSE4 with max length 16.
        // To fill the 16x16 matrix we need four 8x8 matrices.
        // Thus, for the 8 sequences we need to load two times 16 consecutive bytes to fill the matrix, i.e. two loads
        // see figure below.
        //
        //       0    1  ...    7 |   8    9  ...   15
        // 0  [a00, a01, ..., a07]|[a08, a09, ..., a15]  // first load of seq a reads 16 characters
        // 1  [b00, b01, ..., b07]|[b08, b09, ..., b15]  // first load of seq b reads 16 characters
        //            ...         |        ...
        // 7  [g00, g01, ..., g07]|[g08, g09, ..., g15]  // first load of seq g reads 16 characters
        //    ----------------------------------------
        // 8  [a16, a17, ..., a23]|[a24, a25, ..., a31]  // second load of seq a reads next 16 characters
        // 9  [b16, b17, ..., b23]|[b24, b25, ..., b31]  // second load of seq b reads next 16 characters
        //            ...         |        ...
        // 15 [g16, g17, ..., g23]|[g24, g25, ..., g31]  // second load of seq g reads next 16 characters
        //
        // This quadratic byte matrix can be transposed efficiently with simd instructions.
        // If the target simd scalar type is bigger we can apply the same mechanism but have then 16 4x4 matrices
        // (32 bit) or 256 2x2 matrices (64 bit).
 
        constexpr int8_t max_size = simd_traits<simd_t>::max_length;
        std::array<max_simd_type, max_size> matrix{};
        decltype(cached_iter) iterators_before_update{cached_iter}; // Keep track of iterators before the update.
        // Iterate over each sequence.
        for (uint8_t sequence_pos = 0; sequence_pos < chunk_size; ++sequence_pos)
        {  // Iterate over each block depending on the packing of the target simd vector.
            for (uint8_t chunk_pos = 0; chunk_pos < chunks_per_load; ++chunk_pos)
            {
                uint8_t pos = chunk_pos * chunk_size + sequence_pos; // matrix entry to fill
                if (cached_sentinel[sequence_pos] - cached_iter[sequence_pos] >= max_size)
                { // Not in final block, thus load directly from memory.
                    matrix[pos] = simd::load<max_simd_type>(std::addressof(*cached_iter[sequence_pos]));
                    std::advance(cached_iter[sequence_pos], max_size);
                }
                else  // Loads the final block byte wise in order to not load from uninitialised memory.
                {
                    matrix[pos] = simd::fill<max_simd_type>(~0);
                    auto & sequence_it = cached_iter[sequence_pos];
                    for (int8_t idx = 0; sequence_it != cached_sentinel[sequence_pos]; ++sequence_it, ++idx)
                        matrix[pos][idx] = seqan3::to_rank(*sequence_it);
                }
            }
        }
 
        // Handle final chunk which might not end at an offset which is not a multiple of `chunk_size`.
        final_chunk = all_iterators_reached_sentinel();
 
        if (final_chunk)
            update_final_chunk_position(iterators_before_update);
 
        simd::transpose(matrix);
        split_into_sub_matrices(std::move(matrix));
    }
 
    constexpr void underflow()
        requires !fast_load
    {
        at_end = final_chunk;
        if (at_end)  // reached end of stream.
            return;
 
        decltype(cached_iter) iterators_before_update{cached_iter}; // Keep track of iterators before the update.
        for (size_t i = 0; i < chunk_size; ++i)
            this_view->cached_simd_chunks[0][i] = convert_single_column();
 
        final_chunk = all_iterators_reached_sentinel();
 
        if (final_chunk)
            update_final_chunk_position(iterators_before_update);
    }
 
    std::array<std::ranges::iterator_t<inner_range_type>, chunk_size> cached_iter{};
    std::array<std::ranges::sentinel_t<inner_range_type>, chunk_size> cached_sentinel{};
    view_to_simd * this_view{nullptr};
    uint8_t final_chunk_size{chunk_size};
    uint8_t final_chunk_pos{total_chunks - 1};
    uint8_t current_chunk_pos{0};
    bool final_chunk{false};
    bool at_end{false};
};
 
// ============================================================================
//  to_simd_fn (adaptor definition)
// ============================================================================
 
template <simd::simd_concept simd_t>
struct to_simd_fn
{
    using padding_t = typename simd_traits<simd_t>::scalar_type;
 
    constexpr auto operator()(padding_t const padding_value) const noexcept
    {
        return detail::adaptor_from_functor{*this, padding_value};
    }
 
    constexpr auto operator()() const noexcept
    {
        return detail::adaptor_from_functor{*this};
    }
 
    template <std::ranges::range urng_t>
    constexpr auto operator()(urng_t && urange, padding_t const padding_value) const noexcept
    {
        static_assert(std::ranges::forward_range<urng_t>,
            "The underlying range in views::to_simd must model std::ranges::forward_range.");
        static_assert(std::ranges::viewable_range<urng_t>,
            "The underlying range in views::to_simd must model std::ranges::viewable_range.");
        static_assert(std::ranges::input_range<value_type_t<urng_t>>,
            "The value type of the underlying range must model std::ranges::input_range.");
        static_assert(semialphabet<value_type_t<value_type_t<urng_t>>>,
            "The value type of the inner ranges must model seqan3::semialphabet.");
 
        return view_to_simd<type_reduce_view<urng_t>, simd_t>{std::forward<urng_t>(urange), padding_value};
    }
 
    template <std::ranges::range urng_t>
    constexpr auto operator()(urng_t && urange) const noexcept
    {
        static_assert(std::ranges::forward_range<urng_t>,
            "The underlying range in views::to_simd must model std::ranges::forward_range.");
        static_assert(std::ranges::viewable_range<urng_t>,
            "The underlying range in views::to_simd must model std::ranges::viewable_range.");
        static_assert(std::ranges::input_range<value_type_t<urng_t>>,
            "The value type of the underlying range must model std::ranges::input_range.");
        static_assert(semialphabet<value_type_t<value_type_t<urng_t>>>,
            "The value type of the inner ranges must model seqan3::semialphabet.");
 
        return view_to_simd<type_reduce_view<urng_t>, simd_t>{std::forward<urng_t>(urange)};
    }
 
    template <std::ranges::range urng_t>
    constexpr friend auto operator|(urng_t && urange, to_simd_fn const & me)
    {
        return me(std::forward<urng_t>(urange));
    }
};
 
} // namespace seqan3::detail
 
namespace seqan3::views
{
 
template <simd::simd_concept simd_t>
inline constexpr auto to_simd = detail::to_simd_fn<simd_t>{};
 
} // namespace seqan3::views