vector-quantize-pytorch
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What is the difference between Grouped VQ and Multi-codebook VQ when used for Autoregressive LLM training?
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If I use a Grouped-VQ with two groups and codebook size =100, then the count of final speech tokens is 100 * 100 = 10000; If I use a 2-codebook VQ with codebook size= 100, then the count of the final speech tokens is also 100 * 100 = 10000?