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大佬的代码简洁至极!发现一些问题:ADM infer部分,当前预测的dt_predict 为小数,而非整数,直接拼在p_code上,作为下一步的输入。这种方式貌似和训练时输入都是整数不相符,有可能出现意想不到的结果。建议改为: dt_predict = torch.round(dt_predict).clamp(1, self.max_duration_token)
The text was updated successfully, but these errors were encountered:
👌有时间测试一下
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大佬的代码简洁至极!发现一些问题:ADM infer部分,当前预测的dt_predict 为小数,而非整数,直接拼在p_code上,作为下一步的输入。这种方式貌似和训练时输入都是整数不相符,有可能出现意想不到的结果。建议改为:
dt_predict = torch.round(dt_predict).clamp(1, self.max_duration_token)
The text was updated successfully, but these errors were encountered: