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