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batch_rhomdos.py
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batch_rhomdos.py
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from webapp import random_string, initialize_game, EPSILON_STEP
import logging
from logging import ERROR
from games import Rhomdos, RhomdosRender
import os
INFO_LOGGER = logging.getLogger('info_logger')
ERROR_LOGGER = logging.getLogger('error_logger')
ERROR_LOGGER.isEnabledFor(ERROR)
game_kwargs = {'width': 12, 'height': 12, 'depth': 12, 'init_alive_prob': 0.25}
r, mu = initialize_game('Rhomdos', game_kwargs=game_kwargs)
game_name = 'Rhomdos'
model_load_from = f'storage/models/{game_name}_model.h5'
if __name__ == '__main__':
image_files = os.listdir('storage/3D')
for file in image_files:
os.remove(f'storage/3D/{file}')
epsilon = float(mu.get_epsilon(game_name))
if epsilon > 0.85:
epsilon = 0.85
sess_id = random_string()
new_test, s, mngf, mxgf = r.training_sample(epsilon=epsilon, load_from=model_load_from, grad_step_scalar=100)
epsilon += EPSILON_STEP
mu.set_epsilon(epsilon, game_name)
mu.send_sample(mu.sample_to_json(sess_id, game_name=game_name, ruleset=new_test,
grad_steps=s, grad_max=mxgf, grad_min=mngf))
rule_args, rule_kwargs = Rhomdos.rulevector2args(new_test)
game_render = Rhomdos(**rule_kwargs, width=12, height=12, depth=12, init_alive_prob=0.25)
app = RhomdosRender(game_render, storage_path=f'storage/3D/{sess_id}', duration=10, as_gif=True,
gif_name=f'storage/images/Rhomdos_{sess_id}.gif')
app.run()
mu.add_game(sess_id, game_render)