Refactor generation sampling parameters (e.g. top k, temperature) into "Sampling" classes #5416
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#4164 has a full description of the intention here. Basically, to avoid exploding
generate(...)
with more arguments, I've added one genericSampler
parameter that allows for arbitrary transformations of the generation probability distribution conditioned on the past. This allows users to specify custom ways of sampling (e.g. insert a specific token after a previous one, etc.)In the process, I've added some basic tests around these samplers; existing tests pass otherwise.