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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 AudioGen
class TestAudioGenModel:
def get_audiogen(self):
ag = AudioGen.get_pretrained(name='debug', device='cpu')
ag.set_generation_params(duration=2.0, extend_stride=2.)
return ag
def test_base(self):
ag = self.get_audiogen()
assert ag.frame_rate == 25
assert ag.sample_rate == 16000
assert ag.audio_channels == 1
def test_generate_continuation(self):
ag = self.get_audiogen()
prompt = torch.randn(3, 1, 16000)
wav = ag.generate_continuation(prompt, 16000)
assert list(wav.shape) == [3, 1, 32000]
prompt = torch.randn(2, 1, 16000)
wav = ag.generate_continuation(
prompt, 16000, ['youpi', 'lapin dort'])
assert list(wav.shape) == [2, 1, 32000]
prompt = torch.randn(2, 1, 16000)
with pytest.raises(AssertionError):
wav = ag.generate_continuation(
prompt, 16000, ['youpi', 'lapin dort', 'one too many'])
def test_generate(self):
ag = self.get_audiogen()
wav = ag.generate(
['youpi', 'lapin dort'])
assert list(wav.shape) == [2, 1, 32000]
def test_generate_long(self):
ag = self.get_audiogen()
ag.max_duration = 3.
ag.set_generation_params(duration=4., extend_stride=2.)
wav = ag.generate(
['youpi', 'lapin dort'])
assert list(wav.shape) == [2, 1, 16000 * 4]
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