|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
import pytest |
|
import torch |
|
|
|
from nemo.collections.tts.parts.utils.helpers import regulate_len, sort_tensor, unsort_tensor |
|
|
|
|
|
def sample_duration_input(max_length=64, group_size=2, batch_size=3): |
|
generator = torch.Generator() |
|
generator.manual_seed(0) |
|
lengths = torch.randint(max_length // 4, max_length - 7, (batch_size,), generator=generator) |
|
durs = torch.ones(batch_size, max_length) * group_size |
|
durs[0, lengths[0]] += 1 |
|
durs[2, lengths[2]] -= 1 |
|
enc = torch.randint(16, 64, (batch_size, max_length, 17)) |
|
return durs, enc, lengths |
|
|
|
|
|
@pytest.mark.unit |
|
def test_sort_unsort(): |
|
durs_in, enc_in, dur_lens = sample_duration_input(batch_size=13) |
|
print("In: ", enc_in) |
|
sorted_enc, sorted_len, sorted_ids = sort_tensor(enc_in, dur_lens) |
|
unsorted_enc = unsort_tensor(sorted_enc, sorted_ids) |
|
print("Out: ", unsorted_enc) |
|
|
|
assert torch.all(unsorted_enc == enc_in) |
|
|
|
|
|
@pytest.mark.unit |
|
def test_regulate_len(): |
|
group_size = 2 |
|
durs_in, enc_in, dur_lens = sample_duration_input(group_size=group_size) |
|
enc_out, lens_out = regulate_len(durs_in, enc_in, group_size=group_size, dur_lens=dur_lens) |
|
|
|
sum_diff = lens_out - torch.mul(lens_out // group_size, group_size) |
|
assert sum_diff.sum(dim=0) == 0 |
|
|
|
diff = lens_out - durs_in.sum(dim=1) |
|
assert torch.max(diff) < group_size |
|
|