562 lines
24 KiB
C++
562 lines
24 KiB
C++
#pragma once
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/*
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* Copyright (C) 2024 Brett Terpstra
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <https://www.gnu.org/licenses/>.
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*/
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#ifndef BLT_GP_PROGRAM_H
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#define BLT_GP_PROGRAM_H
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#include <cstddef>
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#include <functional>
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#include <type_traits>
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#include <string_view>
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#include <string>
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#include <utility>
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#include <iostream>
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#include <algorithm>
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#include <memory>
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#include <array>
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#include <thread>
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#include <mutex>
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#include <atomic>
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#include <condition_variable>
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#include <stdexcept>
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#include <blt/std/ranges.h>
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#include <blt/std/hashmap.h>
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#include <blt/std/types.h>
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#include <blt/std/utility.h>
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#include <blt/std/memory.h>
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#include <blt/std/thread.h>
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#include <blt/gp/fwdecl.h>
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#include <blt/gp/typesystem.h>
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#include <blt/gp/operations.h>
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#include <blt/gp/transformers.h>
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#include <blt/gp/selection.h>
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#include <blt/gp/tree.h>
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#include <blt/gp/stack.h>
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#include <blt/gp/config.h>
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#include <blt/gp/random.h>
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namespace blt::gp
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{
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struct argc_t
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{
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blt::u32 argc = 0;
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blt::u32 argc_context = 0;
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[[nodiscard]] bool is_terminal() const
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{
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return argc == 0;
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}
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};
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struct operator_info
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{
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// types of the arguments
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std::vector<type_id> argument_types;
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// return type of this operator
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type_id return_type;
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// number of arguments for this operator
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argc_t argc;
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// function to call this operator
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detail::callable_t function;
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// function used to transfer values between stacks
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//detail::transfer_t transfer;
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};
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struct operator_storage
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{
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// indexed from return TYPE ID, returns index of operator
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blt::expanding_buffer<std::vector<operator_id>> terminals;
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blt::expanding_buffer<std::vector<operator_id>> non_terminals;
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blt::expanding_buffer<std::vector<std::pair<operator_id, blt::size_t>>> operators_ordered_terminals;
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// indexed from OPERATOR ID (operator number)
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blt::hashset_t<operator_id> static_types;
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std::vector<operator_info> operators;
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std::vector<detail::print_func_t> print_funcs;
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std::vector<std::optional<std::string_view>> names;
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};
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template<typename Context = detail::empty_t>
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class operator_builder
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{
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friend class gp_program;
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friend class blt::gp::detail::operator_storage_test;
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public:
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explicit operator_builder(type_provider& system): system(system)
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{}
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template<typename ArgType, typename Return, typename... Args>
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operator_builder& add_operator(const operation_t<ArgType, Return(Args...)>& op, bool is_static = false)
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{
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auto return_type_id = system.get_type<Return>().id();
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auto operator_id = blt::gp::operator_id(storage.operators.size());
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operator_info info;
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if constexpr (sizeof...(Args) > 0)
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{
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(add_non_context_argument<Args>(info.argument_types), ...);
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}
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info.argc.argc_context = info.argc.argc = sizeof...(Args);
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info.return_type = system.get_type<Return>().id();
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((std::is_same_v<detail::remove_cv_ref<Args>, Context> ? info.argc.argc -= 1 : (blt::size_t) nullptr), ...);
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auto& operator_list = info.argc.argc == 0 ? storage.terminals : storage.non_terminals;
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operator_list[return_type_id].push_back(operator_id);
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BLT_ASSERT(info.argc.argc_context - info.argc.argc <= 1 && "Cannot pass multiple context as arguments!");
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info.function = op.template make_callable<Context>();
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// info.transfer = [](std::optional<std::reference_wrapper<stack_allocator>> to, stack_allocator& from) {
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//#if BLT_DEBUG_LEVEL >= 3
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// auto value = from.pop<Return>();
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// //BLT_TRACE_STREAM << value << "\n";
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// if (to){
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// to->get().push(value);
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// }
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//#else
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// if (to)
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// {
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// to->get().push(from.pop<Return>());
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// } else
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// {
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// from.pop<Return>();
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// }
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//#endif
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//
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// };
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storage.operators.push_back(info);
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storage.print_funcs.push_back([](std::ostream& out, stack_allocator& stack) {
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out << stack.pop<Return>();
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});
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storage.names.push_back(op.get_name());
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if (is_static)
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storage.static_types.insert(operator_id);
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return *this;
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}
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operator_storage&& build()
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{
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blt::hashset_t<type_id> has_terminals;
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for (const auto& v : blt::enumerate(storage.terminals))
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{
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if (!v.second.empty())
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has_terminals.insert(v.first);
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}
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for (const auto& op_r : blt::enumerate(storage.non_terminals))
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{
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if (op_r.second.empty())
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continue;
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auto return_type = op_r.first;
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std::vector<std::pair<operator_id, blt::size_t>> ordered_terminals;
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for (const auto& op : op_r.second)
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{
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// count number of terminals
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blt::size_t terminals = 0;
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for (const auto& type : storage.operators[op].argument_types)
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{
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if (has_terminals.contains(type))
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terminals++;
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}
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ordered_terminals.emplace_back(op, terminals);
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}
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bool found_terminal_inputs = false;
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bool matches_argc = false;
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for (const auto& terms : ordered_terminals)
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{
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if (terms.second == storage.operators[terms.first].argc.argc)
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matches_argc = true;
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if (terms.second != 0)
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found_terminal_inputs = true;
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if (matches_argc && found_terminal_inputs)
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break;
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}
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if (!found_terminal_inputs)
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BLT_ABORT(("Failed to find function with terminal arguments for return type " + std::to_string(return_type)).c_str());
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if (!matches_argc)
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{
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BLT_ABORT(("Failed to find a function which purely translates types "
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"(that is all input types are terminals) for return type " + std::to_string(return_type)).c_str());
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}
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std::sort(ordered_terminals.begin(), ordered_terminals.end(), [](const auto& a, const auto& b) {
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return a.second > b.second;
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});
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auto first_size = *ordered_terminals.begin();
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auto iter = ordered_terminals.begin();
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while (++iter != ordered_terminals.end() && iter->second == first_size.second)
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{}
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ordered_terminals.erase(iter, ordered_terminals.end());
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storage.operators_ordered_terminals[return_type] = ordered_terminals;
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}
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return std::move(storage);
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}
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private:
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template<typename T>
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void add_non_context_argument(decltype(operator_info::argument_types)& types)
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{
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if constexpr (!std::is_same_v<Context, detail::remove_cv_ref<T>>)
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{
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types.push_back(system.get_type<T>().id());
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}
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}
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type_provider& system;
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operator_storage storage;
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};
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class gp_program
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{
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public:
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/**
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* Note about context size: This is required as context is passed to every operator in the GP tree, this context will be provided by your
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* call to one of the evaluator functions. This was the nicest way to provide this as C++ lacks reflection
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*
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* @param system type system to use in tree generation
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* @param engine random engine to use throughout the program.
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* @param context_size number of arguments which are always present as "context" to the GP system / operators
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*/
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explicit gp_program(type_provider& system, blt::u64 seed):
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system(system), seed(seed)
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{ create_threads(); }
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explicit gp_program(type_provider& system, blt::u64 seed, prog_config_t config):
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system(system), seed(seed), config(config)
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{ create_threads(); }
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template<typename Crossover, typename Mutation, typename Reproduction, typename CreationFunc = decltype(default_next_pop_creator<Crossover, Mutation, Reproduction>)>
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void create_next_generation(Crossover&& crossover_selection, Mutation&& mutation_selection, Reproduction&& reproduction_selection,
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CreationFunc& func = default_next_pop_creator<Crossover, Mutation, Reproduction>)
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{
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// should already be empty
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next_pop.clear();
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crossover_selection.pre_process(*this, current_pop, current_stats);
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mutation_selection.pre_process(*this, current_pop, current_stats);
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reproduction_selection.pre_process(*this, current_pop, current_stats);
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auto args = get_selector_args();
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func(args, std::forward<Crossover>(crossover_selection), std::forward<Mutation>(mutation_selection),
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std::forward<Reproduction>(reproduction_selection));
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}
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void evaluate_fitness()
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{
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evaluate_fitness_internal();
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}
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/**
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* takes in a reference to a function for the fitness evaluation function (must return a value convertable to double)
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* The lambda must accept a tree for evaluation, and an index (current tree)
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*
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* tree_t& current_tree, blt::size_t index_of_tree
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*
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* Container must be concurrently accessible from multiple threads using operator[]
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*
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* NOTE: 0 is considered the best, in terms of standardized fitness
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*/
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template<typename FitnessFunc>
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void generate_population(type_id root_type, FitnessFunc& fitness_function)
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{
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current_pop = config.pop_initializer.get().generate(
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{*this, root_type, config.population_size, config.initial_min_tree_size, config.initial_max_tree_size});
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if (config.threads == 1)
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{
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BLT_INFO("Starting with single thread variant!");
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thread_execution_service = new std::function([this, &fitness_function](blt::size_t) {
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for (const auto& ind : blt::enumerate(current_pop.get_individuals()))
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{
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fitness_function(ind.second.tree, ind.second.fitness, ind.first);
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if (ind.second.fitness.adjusted_fitness > current_stats.best_fitness)
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current_stats.best_fitness = ind.second.fitness.adjusted_fitness;
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if (ind.second.fitness.adjusted_fitness < current_stats.worst_fitness)
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current_stats.worst_fitness = ind.second.fitness.adjusted_fitness;
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current_stats.overall_fitness = current_stats.overall_fitness + ind.second.fitness.adjusted_fitness;
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}
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});
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} else
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{
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BLT_INFO("Starting thread execution service!");
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std::scoped_lock lock(thread_helper.thread_function_control);
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thread_execution_service = new std::function([this, &fitness_function](blt::size_t) {
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thread_helper.barrier.wait();
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if (thread_helper.evaluation_left > 0)
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{
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while (thread_helper.evaluation_left > 0)
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{
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blt::size_t size = 0;
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blt::size_t begin = 0;
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blt::size_t end = thread_helper.evaluation_left.load(std::memory_order_relaxed);
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do
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{
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size = std::min(end, config.evaluation_size);
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begin = end - size;
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} while (!thread_helper.evaluation_left.compare_exchange_weak(end, end - size,
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std::memory_order::memory_order_relaxed,
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std::memory_order::memory_order_relaxed));
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for (blt::size_t i = begin; i < end; i++)
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{
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auto& ind = current_pop.get_individuals()[i];
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fitness_function(ind.tree, ind.fitness, i);
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auto old_best = current_stats.best_fitness.load(std::memory_order_relaxed);
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while (ind.fitness.adjusted_fitness > old_best &&
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!current_stats.best_fitness.compare_exchange_weak(old_best, ind.fitness.adjusted_fitness,
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std::memory_order_relaxed, std::memory_order_relaxed));
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auto old_worst = current_stats.worst_fitness.load(std::memory_order_relaxed);
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while (ind.fitness.adjusted_fitness < old_worst &&
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!current_stats.worst_fitness.compare_exchange_weak(old_worst, ind.fitness.adjusted_fitness,
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std::memory_order_relaxed, std::memory_order_relaxed));
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auto old_overall = current_stats.overall_fitness.load(std::memory_order_relaxed);
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while (!current_stats.overall_fitness.compare_exchange_weak(old_overall,
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ind.fitness.adjusted_fitness + old_overall,
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std::memory_order_relaxed,
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std::memory_order_relaxed));
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}
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}
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}
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thread_helper.barrier.wait();
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});
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thread_helper.thread_function_condition.notify_all();
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}
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evaluate_fitness_internal();
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}
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void next_generation()
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{
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current_pop = std::move(next_pop);
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current_generation++;
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}
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inline auto& get_current_pop()
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{
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return current_pop;
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}
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template<blt::size_t size>
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std::array<blt::size_t, size> get_best_indexes()
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{
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std::array<blt::size_t, size> arr;
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std::vector<std::pair<blt::size_t, double>> values;
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values.reserve(current_pop.get_individuals().size());
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for (const auto& ind : blt::enumerate(current_pop.get_individuals()))
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values.emplace_back(ind.first, ind.second.fitness.adjusted_fitness);
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std::sort(values.begin(), values.end(), [](const auto& a, const auto& b) {
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return a.second > b.second;
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});
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for (blt::size_t i = 0; i < size; i++)
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arr[i] = values[i].first;
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return arr;
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}
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template<blt::size_t size>
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auto get_best_trees()
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{
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return convert_array<std::array<std::reference_wrapper<tree_t>, size>>(get_best_indexes<size>(),
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[this](auto&& arr, blt::size_t index) -> tree_t& {
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return current_pop.get_individuals()[arr[index]].tree;
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},
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std::make_integer_sequence<blt::size_t, size>());
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}
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template<blt::size_t size>
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auto get_best_individuals()
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{
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return convert_array<std::array<std::reference_wrapper<individual>, size>>(get_best_indexes<size>(),
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[this](auto&& arr, blt::size_t index) -> individual& {
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return current_pop.get_individuals()[arr[index]];
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},
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std::make_integer_sequence<blt::size_t, size>());
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}
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[[nodiscard]] bool should_terminate() const
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{
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return current_generation >= config.max_generations;
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}
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[[nodiscard]] bool should_thread_terminate() const
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{
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return should_terminate() || thread_helper.lifetime_over;
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}
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[[nodiscard]] random_t& get_random() const;
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[[nodiscard]] inline type_provider& get_typesystem()
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{
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return system;
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}
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inline operator_id select_terminal(type_id id)
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{
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// we wanted a terminal, but could not find one, so we will select from a function that has a terminal
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if (storage.terminals[id].empty())
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return select_non_terminal_too_deep(id);
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return get_random().select(storage.terminals[id]);
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}
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inline operator_id select_non_terminal(type_id id)
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{
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return get_random().select(storage.non_terminals[id]);
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}
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inline operator_id select_non_terminal_too_deep(type_id id)
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{
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return get_random().select(storage.operators_ordered_terminals[id]).first;
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}
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inline operator_info& get_operator_info(operator_id id)
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{
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return storage.operators[id];
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}
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inline detail::print_func_t& get_print_func(operator_id id)
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{
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return storage.print_funcs[id];
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}
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inline std::optional<std::string_view> get_name(operator_id id)
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{
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return storage.names[id];
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}
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inline std::vector<operator_id>& get_type_terminals(type_id id)
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{
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return storage.terminals[id];
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}
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inline std::vector<operator_id>& get_type_non_terminals(type_id id)
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{
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return storage.non_terminals[id];
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}
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inline bool is_static(operator_id id)
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{
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return storage.static_types.contains(static_cast<blt::size_t>(id));
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}
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inline void set_operations(operator_storage&& op)
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{
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storage = std::move(op);
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}
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[[nodiscard]] inline auto get_current_generation() const
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{
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return current_generation.load();
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}
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[[nodiscard]] inline auto& get_population_stats()
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{
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return current_stats;
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}
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~gp_program()
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{
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thread_helper.lifetime_over = true;
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thread_helper.barrier.notify_all();
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for (auto& thread : thread_helper.threads)
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{
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if (thread->joinable())
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thread->join();
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}
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auto* cpy = thread_execution_service.load(std::memory_order_acquire);
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thread_execution_service = nullptr;
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delete cpy;
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|
}
|
|
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|
private:
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|
type_provider& system;
|
|
|
|
operator_storage storage;
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|
population_t current_pop;
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|
population_stats current_stats;
|
|
population_t next_pop;
|
|
std::atomic_uint64_t current_generation = 0;
|
|
|
|
blt::u64 seed;
|
|
prog_config_t config;
|
|
|
|
struct concurrency_storage
|
|
{
|
|
std::vector<std::unique_ptr<std::thread>> threads;
|
|
|
|
std::mutex thread_function_control;
|
|
std::condition_variable thread_function_condition {};
|
|
|
|
std::atomic_uint64_t evaluation_left = 0;
|
|
|
|
std::atomic_bool lifetime_over = false;
|
|
blt::barrier barrier;
|
|
|
|
explicit concurrency_storage(blt::size_t threads): barrier(threads, lifetime_over)
|
|
{}
|
|
} thread_helper{config.threads};
|
|
|
|
// for convenience, shouldn't decrease performance too much
|
|
std::atomic<std::function<void(blt::size_t)>*> thread_execution_service = nullptr;
|
|
|
|
inline selector_args get_selector_args()
|
|
{
|
|
return {*this, next_pop, current_pop, current_stats, config, get_random()};
|
|
}
|
|
|
|
template<typename Return, blt::size_t size, typename Accessor, blt::size_t... indexes>
|
|
inline Return convert_array(std::array<blt::size_t, size>&& arr, Accessor&& accessor,
|
|
std::integer_sequence<blt::size_t, indexes...>)
|
|
{
|
|
return Return{accessor(arr, indexes)...};
|
|
}
|
|
|
|
void create_threads();
|
|
|
|
void evaluate_fitness_internal()
|
|
{
|
|
current_stats.clear();
|
|
if (config.threads != 1)
|
|
thread_helper.evaluation_left.store(current_pop.get_individuals().size(), std::memory_order_release);
|
|
(*thread_execution_service)(0);
|
|
|
|
current_stats.average_fitness = current_stats.overall_fitness / static_cast<double>(config.population_size);
|
|
}
|
|
};
|
|
|
|
}
|
|
|
|
#endif //BLT_GP_PROGRAM_H
|