4311d7b6cd2b7a0faa63d4091896b8480f145279,examples/train_model.py,TrainLoop,__init__,#TrainLoop#Any#,114

Before Change

        self.world_num_exs = self.world.num_examples()
        if self.world_num_exs is not None:
            self.max_exs = opt["num_epochs"] * self.world_num_exs
            self.max_parleys = math.ceil(self.max_exs / opt["batchsize"])
        self.best_valid = 0
        self.impatience = 0
        self.saved = False
        self.valid_world = None

After Change

        self.num_epochs = opt["num_epochs"] if opt["num_epochs"] > 0 else float("inf")
        self.max_train_time = opt["max_train_time"] if opt["max_train_time"] > 0 else float("inf")
        self.log_every_n_secs = opt["log_every_n_secs"] if opt["log_every_n_secs"] > 0 else float("inf")
        self.val_every_n_secs = opt["validation_every_n_secs"] if opt["validation_every_n_secs"] > 0 else float("inf")
        self.best_valid = 0
        self.impatience = 0
        self.saved = False
        self.valid_world = None

Instances