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synced 2026-02-04 17:39:25 +08:00
fix padding
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@@ -314,6 +314,7 @@ class Qwen2LM(TransformerLM):
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else:
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instruct_token = [torch.empty(0).to(text_token[0])] * len(text_token)
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instruct_token_emb = [torch.empty(0, 896).to(text_token_emb[0])] * len(text_token)
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instruct_token_len = torch.zeros(len(text_token)).to(text_token_len)
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for i in range(len(text_token)):
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# bistream sequence
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if random.random() < 0.5 and speech_token_len[i] / text_token_len[i] > self.mix_ratio[1] / self.mix_ratio[0]:
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