5a59467f34ea1b33a10ea8cc205c6b2bbb1bc158,TTS/bin/train_vocoder_wavegrad.py,,train,#Any#Any#Any#Any#Any#Any#Any#Any#,82

Before Change

                                         noise_schedule["min_val"],
                                         noise_schedule["max_val"])
    else:
        model.compute_noise_level(noise_schedule["num_steps"],
                                  noise_schedule["min_val"],
                                  noise_schedule["max_val"])
    for num_iter, data in enumerate(data_loader):
        start_time = time.time()

        // format data

After Change

    c_logger.print_train_start()
    // setup noise schedule
    noise_schedule = c["train_noise_schedule"]
    betas = np.linspace(noise_schedule["min_val"], noise_schedule["max_val"], noise_schedule["num_steps"])
    if hasattr(model, "module"):
        model.module.compute_noise_level(betas)
    else:
        model.compute_noise_level(betas)
    for num_iter, data in enumerate(data_loader):
        start_time = time.time()

Instances