适配windows

bert_gen.py

@@ -5,7 +5,7 @@ import commons
 import utils
 from data_utils import TextAudioSpeakerLoader, TextAudioSpeakerCollate
 from tqdm import tqdm
-from multiprocessing import Pool
+import warnings
 
 from text import cleaned_text_to_sequence, get_bert
 
@@ -40,14 +40,14 @@ def process_line(line):
         torch.save(bert, bert_path)
 
 
-lines = []
+if __name__ == '__main__':
-with open(hps.data.training_files) as f:
+    lines = []
-    lines.extend(f.readlines())
+    with open(hps.data.training_files) as f:
+        lines.extend(f.readlines())
 
-with open(hps.data.validation_files) as f:
+    with open(hps.data.validation_files) as f:
-    lines.extend(f.readlines())
+        lines.extend(f.readlines())
 
-
+    with Pool(processes=12) as pool: #A100 suitable config,if coom,please decrease the processess number.
-with Pool(processes=12) as pool: #A100 suitable config,if coom,please decrease the processess number.
+        for _ in tqdm(pool.imap_unordered(process_line, lines)):
-    for _ in tqdm(pool.imap_unordered(process_line, lines)):
+            pass
-        pass