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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from audiocraft.models import MusicGen
class TestSEANetModel:
def get_musicgen(self):
mg = MusicGen.get_pretrained(name='debug', device='cpu')
mg.set_generation_params(duration=2.0)
return mg
def test_base(self):
mg = self.get_musicgen()
assert mg.frame_rate == 25
assert mg.sample_rate == 32000
assert mg.audio_channels == 1
def test_generate_unconditional(self):
mg = self.get_musicgen()
wav = mg.generate_unconditional(3)
assert list(wav.shape) == [3, 1, 64000]
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]
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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