mirror of https://github.com/coqui-ai/TTS.git
34 lines
852 B
Python
34 lines
852 B
Python
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import random
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import numpy as np
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import torch
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from TTS.vocoder.models.wavernn import WaveRNN
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def test_wavernn():
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model = WaveRNN(
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rnn_dims=512,
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fc_dims=512,
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mode=10,
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mulaw=False,
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pad=2,
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use_aux_net=True,
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use_upsample_net=True,
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upsample_factors=[4, 8, 8],
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feat_dims=80,
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compute_dims=128,
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res_out_dims=128,
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num_res_blocks=10,
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hop_length=256,
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sample_rate=22050,
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)
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dummy_x = torch.rand((2, 1280))
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dummy_m = torch.rand((2, 80, 9))
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y_size = random.randrange(20, 60)
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dummy_y = torch.rand((80, y_size))
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output = model(dummy_x, dummy_m)
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assert np.all(output.shape == (2, 1280, 4 * 256)), output.shape
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output = model.inference(dummy_y, True, 5500, 550)
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assert np.all(output.shape == (256 * (y_size - 1),))
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