init

tokenize_dataset_s2s.py

@@ -19,7 +19,7 @@ tokenizer = EncodecTokenizer.from_pretrained()
 
 def tokenize(example):
     for side in sides:
-        wav = torch.as_tensor(example[f"{side}.audio"]["array"].reshape(1, 1, -1))
+        wav = torch.as_tensor(example[f"{side}.audio"]["array"].reshape(1, 1, -1), dtype=torch.FloatTensor)
         example[f"{side}.audio.tokens"] = tokenizer.wav_to_tokens(
             wav=wav, sample_rate=example[f"{side}.audio"]["sampling_rate"]
         ).numpy().tolist()