wassname/TTS
1
0
Fork 0
mirror of https://github.com/wassname/TTS.git synced 2026-09-11 12:00:24 +08:00
Code Issues Packages Projects Releases Wiki Activity

Style update

Browse Source
This commit is contained in:
Eren Gölge
2021-09-10 08:30:33 +00:00
parent a89eb12aca
commit d6e29ef98a
3 changed files with 36 additions and 36 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tests/data_tests/test_loader.py
+33 -33
View File
@@ -68,15 +68,15 @@ class TestTTSDataset(unittest.TestCase):
for i, data in enumerate(dataloader):
if i == self.max_loader_iter:
break
text_input = data['text']
text_lengths = data['text_lengths']
speaker_name = data['speaker_names']
linear_input = data['linear']
mel_input = data['mel']
mel_lengths = data['mel_lengths']
stop_target = data['stop_targets']
item_idx = data['item_idxs']
wavs = data['waveform']
text_input = data["text"]
text_lengths = data["text_lengths"]
speaker_name = data["speaker_names"]
linear_input = data["linear"]
mel_input = data["mel"]
mel_lengths = data["mel_lengths"]
stop_target = data["stop_targets"]
item_idx = data["item_idxs"]
wavs = data["waveform"]
neg_values = text_input[text_input < 0]
check_count = len(neg_values)
@@ -113,14 +113,14 @@ class TestTTSDataset(unittest.TestCase):
for i, data in enumerate(dataloader):
if i == self.max_loader_iter:
break
text_input = data['text']
text_lengths = data['text_lengths']
speaker_name = data['speaker_names']
linear_input = data['linear']
mel_input = data['mel']
mel_lengths = data['mel_lengths']
stop_target = data['stop_targets']
item_idx = data['item_idxs']
text_input = data["text"]
text_lengths = data["text_lengths"]
speaker_name = data["speaker_names"]
linear_input = data["linear"]
mel_input = data["mel"]
mel_lengths = data["mel_lengths"]
stop_target = data["stop_targets"]
item_idx = data["item_idxs"]
avg_length = mel_lengths.numpy().mean()
assert avg_length >= last_length
@@ -139,14 +139,14 @@ class TestTTSDataset(unittest.TestCase):
for i, data in enumerate(dataloader):
if i == self.max_loader_iter:
break
text_input = data['text']
text_lengths = data['text_lengths']
speaker_name = data['speaker_names']
linear_input = data['linear']
mel_input = data['mel']
mel_lengths = data['mel_lengths']
stop_target = data['stop_targets']
item_idx = data['item_idxs']
text_input = data["text"]
text_lengths = data["text_lengths"]
speaker_name = data["speaker_names"]
linear_input = data["linear"]
mel_input = data["mel"]
mel_lengths = data["mel_lengths"]
stop_target = data["stop_targets"]
item_idx = data["item_idxs"]
# check mel_spec consistency
wav = np.asarray(self.ap.load_wav(item_idx[0]), dtype=np.float32)
@@ -188,14 +188,14 @@ class TestTTSDataset(unittest.TestCase):
for i, data in enumerate(dataloader):
if i == self.max_loader_iter:
break
text_input = data['text']
text_lengths = data['text_lengths']
speaker_name = data['speaker_names']
linear_input = data['linear']
mel_input = data['mel']
mel_lengths = data['mel_lengths']
stop_target = data['stop_targets']
item_idx = data['item_idxs']
text_input = data["text"]
text_lengths = data["text_lengths"]
speaker_name = data["speaker_names"]
linear_input = data["linear"]
mel_input = data["mel"]
mel_lengths = data["mel_lengths"]
stop_target = data["stop_targets"]
item_idx = data["item_idxs"]
if mel_lengths[0] > mel_lengths[1]:
idx = 0