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| import pytest |
| import torch |
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| from audiocraft.models import MusicGen |
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| class TestSEANetModel: |
| def get_musicgen(self): |
| mg = MusicGen.get_pretrained(name='debug', device='cpu') |
| mg.set_generation_params(duration=2.0) |
| return mg |
|
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| def test_base(self): |
| mg = self.get_musicgen() |
| assert mg.frame_rate == 25 |
| assert mg.sample_rate == 32000 |
| assert mg.audio_channels == 1 |
|
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| def test_generate_unconditional(self): |
| mg = self.get_musicgen() |
| wav = mg.generate_unconditional(3) |
| assert list(wav.shape) == [3, 1, 64000] |
|
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| def test_generate_continuation(self): |
| mg = self.get_musicgen() |
| prompt = torch.randn(3, 1, 32000) |
| wav = mg.generate_continuation(prompt, 32000) |
| assert list(wav.shape) == [3, 1, 64000] |
|
|
| prompt = torch.randn(2, 1, 32000) |
| wav = mg.generate_continuation( |
| prompt, 32000, ['youpi', 'lapin dort']) |
| assert list(wav.shape) == [2, 1, 64000] |
|
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| prompt = torch.randn(2, 1, 32000) |
| with pytest.raises(AssertionError): |
| wav = mg.generate_continuation( |
| prompt, 32000, ['youpi', 'lapin dort', 'one too many']) |
|
|
| def test_generate(self): |
| mg = self.get_musicgen() |
| wav = mg.generate( |
| ['youpi', 'lapin dort']) |
| assert list(wav.shape) == [2, 1, 64000] |
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