main_trec_sobj.py

import argparse

import pytorch_lightning as pl

from problem import DataModule
from problem.lit_recurrent_cls import LightningRecurrent_CLS
from problem.cls_problem import CLSProblemMultiObj
from evolution import Optimizer
import warnings
warnings.filterwarnings("ignore")
import logging
logging.disable(logging.CRITICAL)
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 

def parse_args():
    parser = argparse.ArgumentParser()
    parser = CLSProblemMultiObj.add_arguments(parser)
    parser = pl.Trainer.add_argparse_args(parser)
    parser = DataModule.add_argparse_args(parser)
    parser = DataModule.add_cache_arguments(parser)
    parser = LightningRecurrent_CLS.add_model_specific_args(parser)
    parser = LightningRecurrent_CLS.add_learning_specific_args(parser)
    parser = Optimizer.add_optimizer_specific_args(parser)
    parser.add_argument("--seed", type=int, default=42)

    args = parser.parse_args()

    args.num_terminal = args.num_main + 1
    args.l_main = args.h_main * (args.max_arity - 1) + 1
    args.l_adf = args.h_adf * (args.max_arity - 1) + 1
    args.main_length = args.h_main + args.l_main
    args.adf_length = args.h_adf + args.l_adf
    args.chromosome_length = (
        args.num_main * args.main_length + args.num_adf * args.adf_length
    )
    args.D = args.chromosome_length
    args.mutation_rate = args.adf_length / args.chromosome_length

    return args


def main():
    # get args
    args = parse_args()

    # solve problems
    problem = CLSProblemMultiObj(args)
    problem.single_obj = True
    # problem.progress_bar = 10
    problem.weights_summary = "top"

    optimizer = Optimizer(args)

    print('Run')

    population, objs = optimizer.ga(problem, return_best= False)

    # chromosome = ast.literal_eval(population)
    for i, idv in enumerate(population):
        symbols, _, _ = problem.replace_value_with_symbol(population[i])
        print(f"Individual {i + 1}: {objs[i]}, chromosome: {symbols}")
        problem.make_graph(idv, prefix=f"{args.task_name}.idv_{i+1}")
    
    # chromosome = [int(x) for x in chromosome]
        problem.evaluate(population[i])

if __name__ == "__main__":
    main()