# 来自 CAL 代码
# Main
Run = ExptPeerRegC10CAL(
    {"--is_train": True,   # why 居然可以这么写？
    "--is_plot_results": False,
    "--is_class_resolved": False,
    "--is_load": False,
    "--exp_name": exp_name,
    "--dataset": dataset,
    "--netARCH": netARCH,
    "--num_classes": 10,
    "--lossfunc": lossfunc,
    "--optimizer": "SGD",
    "--lr": 0.1, # 0.1
    "--lr_scheduler": "step",
    "--weight_decay": 0.0005,
    "--lr_decay_step_size": 60, # 60
    "--lr_decay_rate": 0.1, # 0.1
    "--batch_size": 128,
    "--max_epoch": max_epoch,
    "--is_validate": False,
    "--val_ratio": 0.0,
    "--with_noise": with_noise,
    "--noise_label_fname": noise_file,
    "--is_peerloss": is_peer,
    "--alpha": 0.0,
    "--alpha_scheduler": 'seg',
    "--alpha_list": alpha_list,
    "--milestones": milestones,
    "--gpu_idx": gpu_idx,
    "--chosen_classes": chosen_classes,
    "--sample_weight_path": sample_weight_path,
    "--beta_path": None,
    }, 
    json_path = json_path,
    outputfile= outfile
)
Run.train()