chore(format): run black on dev (#2102)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

infer/lib/train/utils.py

@@ -66,6 +66,7 @@ def load_checkpoint_d(checkpoint_path, combd, sbd, optimizer=None, load_opt=1):
     return model, optimizer, learning_rate, iteration
 """
 
+
 def load_checkpoint(checkpoint_path, model, optimizer=None, load_opt=1):
     assert os.path.isfile(checkpoint_path)
     checkpoint_dict = torch.load(checkpoint_path, map_location="cpu")
@@ -130,6 +131,7 @@ def save_checkpoint(model, optimizer, learning_rate, iteration, checkpoint_path)
         checkpoint_path,
     )
 
+
 """
 def save_checkpoint_d(combd, sbd, optimizer, learning_rate, iteration, checkpoint_path):
     logger.info(
@@ -157,6 +159,7 @@ def save_checkpoint_d(combd, sbd, optimizer, learning_rate, iteration, checkpoin
     )
 """
 
+
 def summarize(
     writer,
     global_step,

infer/modules/vc/hash.py

@@ -27,18 +27,22 @@ class TorchSeedContext:
 half_hash_len = 512
 expand_factor = 65536 * 8
 
+
 @singleton_variable
 def original_audio_storage():
     return np.load(pathlib.Path(__file__).parent / "lgdsng.npz")
 
+
 @singleton_variable
 def original_audio():
     return original_audio_storage()["a"]
 
+
 @singleton_variable
 def original_audio_time_minus():
     return original_audio_storage()["t"]
 
+
 @singleton_variable
 def original_audio_freq_minus():
     return original_audio_storage()["f"]