def create_argparser()

in scripts/classifier_train.py [0:0]

• 21 lines of code
• 1 McCabe index (conditional complexity)

def create_argparser():
    defaults = dict(
        data_dir="",
        val_data_dir="",
        noised=True,
        iterations=150000,
        lr=3e-4,
        weight_decay=0.0,
        anneal_lr=False,
        batch_size=4,
        microbatch=-1,
        schedule_sampler="uniform",
        resume_checkpoint="",
        log_interval=10,
        eval_interval=5,
        save_interval=10000,
    )
    defaults.update(classifier_and_diffusion_defaults())
    parser = argparse.ArgumentParser()
    add_dict_to_argparser(parser, defaults)
    return parser