import numpy as np | |
import tensorflow as tf | |
from TTS.vocoder.tf.models.melgan_generator import MelganGenerator | |
def test_melgan_generator(): | |
hop_length = 256 | |
model = MelganGenerator() | |
# pylint: disable=no-value-for-parameter | |
dummy_input = tf.random.uniform((4, 80, 64)) | |
output = model(dummy_input, training=False) | |
assert np.all(output.shape == (4, 1, 64 * hop_length)), output.shape | |