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test(freevc): remove unused code

This commit is contained in:
Enno Hermann 2024-11-13 22:55:46 +01:00
parent fce3137e0d
commit d488441b75
1 changed files with 3 additions and 15 deletions
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18
tests/vc_tests/test_freevc.py
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@ -22,15 +22,12 @@ BATCH_SIZE = 3
class TestFreeVC(unittest.TestCase):
def _create_inputs(self, config, batch_size=2):
input_dummy = torch.rand(batch_size, 30 * config.audio["hop_length"]).to(device)
input_lengths = torch.randint(100, 30 * config.audio["hop_length"], (batch_size,)).long().to(device)
input_lengths[-1] = 30 * config.audio["hop_length"]
spec = torch.rand(batch_size, 30, config.audio["filter_length"] // 2 + 1).to(device)
mel = torch.rand(batch_size, 30, config.audio["n_mel_channels"]).to(device)
spec_lengths = torch.randint(20, 30, (batch_size,)).long().to(device)
spec_lengths[-1] = spec.size(2)
waveform = torch.rand(batch_size, spec.size(2) * config.audio["hop_length"]).to(device)
return input_dummy, input_lengths, mel, spec, spec_lengths, waveform
return mel, spec, spec_lengths, waveform
@staticmethod
def _create_inputs_inference():
@ -38,15 +35,6 @@ class TestFreeVC(unittest.TestCase):
target_wav = torch.rand(16000)
return source_wav, target_wav
@staticmethod
def _check_parameter_changes(model, model_ref):
count = 0
for param, param_ref in zip(model.parameters(), model_ref.parameters()):
assert (param != param_ref).any(), "param {} with shape {} not updated!! \n{}\n{}".format(
count, param.shape, param, param_ref
)
count += 1
def test_methods(self):
config = FreeVCConfig()
model = FreeVC(config).to(device)
@ -69,7 +57,7 @@ class TestFreeVC(unittest.TestCase):
model.train()
print(" > Num parameters for FreeVC model:%s" % (count_parameters(model)))
_, _, mel, spec, spec_lengths, waveform = self._create_inputs(config, batch_size)
mel, spec, spec_lengths, waveform = self._create_inputs(config, batch_size)
wavlm_vec = model.extract_wavlm_features(waveform)
wavlm_vec_lengths = torch.ones(batch_size, dtype=torch.long)
@ -86,7 +74,7 @@ class TestFreeVC(unittest.TestCase):
model = FreeVC(config).to(device)
model.eval()
_, _, mel, _, _, waveform = self._create_inputs(config, batch_size)
mel, _, _, waveform = self._create_inputs(config, batch_size)
wavlm_vec = model.extract_wavlm_features(waveform)
wavlm_vec_lengths = torch.ones(batch_size, dtype=torch.long)