/* * Copyright © 2021 "DrasLorus" * * Permission is hereby granted, free of charge, to any person obtaining a copy of this * file and associated documentation files (the “Software”), * to deal in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of * the Software, and to permit persons to whom the Software is furnished to do so, * subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A * PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT * HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF * CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE * OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ #ifndef _MAX_TEMPLATE_HPP_ #define _MAX_TEMPLATE_HPP_ 1 #include #include #include #ifdef _MAX_IS_TOP_ uint16_t do_max_redx_64(const uint16_t in_array[64]); uint16_t do_max_tail_64(const uint16_t in_array[64]); uint16_t do_max_head_64(const uint16_t in_array[64]); uint16_t do_max_loop_64(const uint16_t in_array[64]); uint16_t do_max_redx_127(const uint16_t in_array[64]); uint16_t do_max_tail_127(const uint16_t in_array[64]); uint16_t do_max_head_127(const uint16_t in_array[64]); uint16_t do_max_loop_127(const uint16_t in_array[64]); #endif template struct max_pow2 { template static T process(const T values[N]) { static_assert(N > 2, "N cannot be less than 3!"); T half_values[N / 2]; #pragma HLS array_partition variable = half_values complete for (uint8_t i = 0; i < N / 2; i++) { #pragma HLS unroll const uint8_t j = i << 1; const uint8_t jp1 = j + 1; half_values[i] = (values[j] < values[jp1] ? values[jp1] : values[j]); } return max_pow2::process(half_values); } }; template <> struct max_pow2<2> { template static T process(const T values[2]) { return (values[0] < values[1] ? values[1] : values[0]); } }; /* TRUE MAX TEMPLATE BELOW */ /** * @brief Defines supported schedules * */ typedef enum { REDUCED, LOOPED, TAILED, HEADED } max_type_t; /* REDUCED *****************/ /** * @brief Recursive template to implement a completely reduced scheduling * * @tparam N Input size * @tparam bEven True if N is even, false otherwise. * Can use the Macro IS_EVEN() */ template class max_reduced { public: template static T process(const T values[N]); }; /* REDUCED when N is even */ template class max_reduced { private: static constexpr unsigned half = N >> 1; public: template static T process(const T values[N]); }; /* REDUCED when N is odd */ template class max_reduced { private: static constexpr unsigned Nm1 = N - 1; static constexpr unsigned half = (Nm1 >> 1); static constexpr unsigned halfp1 = half + 1; public: template static T process(const T values[N]); }; template <> class max_reduced<1, false> { public: template static T process(const T values[1]) { return values[0]; } }; template <> class max_reduced<2, true> { public: template static T process(const T values[2]) { return (values[0] < values[1] ? values[1] : values[0]); } }; template <> class max_reduced<3, false> { public: template static T process(const T values[3]) { const T max2 = (values[0] < values[1] ? values[1] : values[0]); return (values[2] < max2 ? max2 : values[2]); } }; #define IS_EVEN(N) (((N >> 1) << 1) == N) template template T max_reduced::process(const T values[N]) { static_assert(N > 2, "N cannot be less than 3!"); T half_values[half]; loop_redx_max: for (uint8_t i = 0; i < half; i++) { const uint8_t j = i << 1; const uint8_t jp1 = j + 1; half_values[i] = (values[j] < values[jp1] ? values[jp1] : values[j]); } return max_reduced::process(half_values); } template template T max_reduced::process(const T values[N]) { static_assert(N > 3, "N cannot be less than 3!"); T half_values[halfp1]; #pragma HLS array_partition variable=half_values complete for (uint8_t i = 0; i < half; i++) { #pragma HLS unroll const uint8_t j = i << 1; const uint8_t jp1 = j + 1; half_values[i] = (values[j] < values[jp1] ? values[jp1] : values[j]); } half_values[half] = values[Nm1]; return max_reduced::process(half_values); } /** * @brief User friendly max template * * @tparam N Input Size * @tparam Ver Schedule wanted. Default: REDUCED */ template class max_template : public max_reduced { }; template <> class max_template<1, TAILED> { public: template static T process(const T values[1]) { return values[0]; } }; template <> class max_template<2, TAILED> { public: template static T process(const T values[2]) { return (values[0] < values[1] ? values[1] : values[0]); } }; template class max_template { private: static constexpr unsigned Nm1 = N - 1; public: template static T process(const T values[N]) { const T max_Nm1 = max_template::process(values); return (max_Nm1 < values[Nm1] ? values[Nm1] : max_Nm1); } }; template <> class max_template<1, HEADED> { public: template static T process(const T values[1]) { return values[0]; } }; template <> class max_template<2, HEADED> { public: template static T process(const T values[2]) { return (values[0] < values[1] ? values[1] : values[0]); } }; template class max_template { private: static constexpr unsigned Nm1 = N - 1; public: template static T process(const T values[N]) { const T max_Nm1 = max_template::process(values + 1); return (max_Nm1 < values[0] ? values[0] : max_Nm1); } }; template class max_template { public: template static T process(const T values[N]) { T max_value = values[0]; loop_max: for (unsigned u = 1; u < N; u++) { const T value = values[u]; max_value = (max_value < value ? value : max_value); } return max_value; } }; #undef IS_EVEN #endif // _MAX_TEMPLATE_HPP_