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import numpy as np | |
import torch | |
from TTS.vocoder.models.melgan_generator import MelganGenerator | |
def test_melgan_generator(): | |
model = MelganGenerator() | |
print(model) | |
dummy_input = torch.rand((4, 80, 64)) | |
output = model(dummy_input) | |
assert np.all(output.shape == (4, 1, 64 * 256)) | |
output = model.inference(dummy_input) | |
assert np.all(output.shape == (4, 1, (64 + 4) * 256)) | |