def load_model(self): from chess_zero.agent.model_chess import ChessModel model = ChessModel(self.config) if self.config.opts.new or not load_best_model_weight(model): model.build() save_as_best_model(model) return model
def load_model(self): """ Loads the next generation model from the appropriate directory. If not found, loads the best known model. """ model = ChessModel(self.config) rc = self.config.resource dirs = get_next_generation_model_dirs(rc) if not dirs: logger.debug("loading best model") if self.config.opts.new and not load_best_model_weight(model): model.build() save_as_best_model(model) elif not load_best_model_weight(model): raise RuntimeError("Best model can not loaded!") else: latest_dir = dirs[-1] logger.debug("loading latest model") config_path = os.path.join( latest_dir, rc.next_generation_model_config_filename) weight_path = os.path.join( latest_dir, rc.next_generation_model_weight_filename) model.load(config_path, weight_path) return model
def load_model(self): """ Load the current best model :return ChessModel: current best model """ model = ChessModel(self.config) if self.config.opts.new or not load_best_model_weight(model): model.build() save_as_best_model(model) return model
def start(self): while True: ng_model, model_dir = self.load_next_generation_model() logger.debug(f"start evaluate model {model_dir}") ng_is_great = self.evaluate_model(ng_model) if ng_is_great: logger.debug(f"New Model become best model: {model_dir}") save_as_best_model(ng_model) self.current_model = ng_model self.move_model(model_dir) # i lost my models because of this :(
def start(self): while True: model_dir, config_path, weight_path = self.load_next_generation_model( ) logger.debug("start evaluate model %s" % (model_dir)) ng_is_great = self.evaluate_model() if ng_is_great: logger.debug("New Model become best model: %s" % (model_dir)) save_as_best_model(self.ng_model) self.current_model.load(config_path, weight_path) else: logger.debug("No need to renew the Model.")
def start(self): self.best_model = self.load_best_model() while True: ng_model, model_dir = self.load_next_generation_model() logger.debug(f"start evaluate model {model_dir}") ng_is_great = self.evaluate_model(ng_model) if ng_is_great: logger.debug(f"New Model become best model: {model_dir}") save_as_best_model(ng_model) self.best_model = ng_model self.remove_model(model_dir)
def start(self): """ Start evaluation, endlessly loading the latest models from the directory which stores them and checking if they do better than the current model, saving the result in self.current_model """ while True: ng_model, model_dir = self.load_next_generation_model() logger.debug(f"start evaluate model {model_dir}") ng_is_great = self.evaluate_model(ng_model) if ng_is_great: logger.debug(f"New Model become best model: {model_dir}") save_as_best_model(ng_model) self.current_model = ng_model self.move_model(model_dir)
def start(self): """ Start evaluation, endlessly loading the latest models from the directory which stores them and checking if they do better than the current model, saving the result in self.current_model """ while True: ng_model, model_dir = self.load_next_generation_model() logger.debug(f"start evaluate model {model_dir}") ng_is_great = self.evaluate_model(ng_model) if ng_is_great: logger.debug(f"New Model become best model: {model_dir}") save_as_best_model(ng_model) self.current_model = ng_model self.move_model(model_dir)
def start(self): ng_model = None model_dir = None ng_model, model_dir = self.load_next_generation_model() save_as_best_model(ng_model) self.remove_model(model_dir)
def load_model(self): model = ChessModel(self.config) if self.config.opts.new or not load_best_model_weight(model): model.build() save_as_best_model(model) return model