087656c8aa07321034d0ba15102bec5961e8af98,ml_perf/eval_models.py,,main,#,130

Before Change

    models = load_train_times()
    for i, (timestamp, name, path) in enumerate(models):
        if int(name) < FLAGS.start:
            logging.info("Skiping %s", name)
            continue
        winrate = evaluate_model(path)
        if winrate >= FLAGS.winrate:
            print("Model {} beat target after {}s".format(name, timestamp))

After Change

    models = load_train_times()

    // Skip all models earlier than start and apply step.
    models = [x for x in models if int(x[1]) >= FLAGS.start][::FLAGS.step]

    for i, (timestamp, name, path) in enumerate(models):
        winrate = evaluate_model(path)
        if winrate >= FLAGS.winrate:

Instances