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"""
Tests that the NV-WaveNet class is producing audio
"""
import torch
from scipy.io.wavfile import write
import nv_wavenet
from wavenet import WaveNet
import utils
import json

if __name__ == '__main__':
    config = json.loads(open('config.json').read())
    wavenet_config = config["wavenet_config"]
    model = WaveNet(**wavenet_config).cuda()
    weights = model.export_weights()
    wavenet = nv_wavenet.NVWaveNet(**weights)
    num_samples = 10*1000
    batch_size = config['train_config']['batch_size']
    cond_input = torch.zeros([2 * wavenet_config['n_residual_channels'], batch_size, wavenet_config['n_layers'], num_samples]).cuda()

    samples = wavenet.infer(cond_input, nv_wavenet.Impl.PERSISTENT)[0]
   
    audio = utils.mu_law_decode_numpy(samples.cpu().numpy(), 256)
    audio = utils.MAX_WAV_VALUE * audio
    wavdata = audio.astype('int16')
    write('audio.wav',16000, wavdata)
