Inference pipeline#555

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Dahoas wants to merge 32 commits intomainfrom

inference-pipeline

Commits on Jul 18, 2023

Implementing support for dense rewards
Dahoas
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added "num_return_sequences" param which corresponds to n in Best-of-N sampling

SharathRaparthy
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Dahoas
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updates to "num_return_sequences" param

SharathRaparthy
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Dahoas
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BoN implementation

SharathRaparthy
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Dahoas
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Changed back to default.

SharathRaparthy
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Dahoas
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TopK sampling instead of Top1

SharathRaparthy
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Dahoas
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summed along dim=1

SharathRaparthy
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Dahoas
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Generating samples in chunks

SharathRaparthy
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Dahoas
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added gen_chunk_size parameter

SharathRaparthy
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Dahoas
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chunking in forward prop

SharathRaparthy
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Dahoas
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chunking generations in train and eval

SharathRaparthy
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Dahoas
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Implementing support for dense rewards
Dahoas
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Fix distributed ref_mean, ref_var bug for dense rewards
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Make generation respect max seq length
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Make experience before first round of training
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Refactoring .generate/.generate_eval
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Fix BoN metric support
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Enforce chunk_size param for eval generation when present
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Fix: Don't shuffle prompt dataset
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Move inputs to device
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Fix style
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Fix: Do not shuffle empty experience dataloader
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Make experience before first round of training
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Refactoring .generate/.generate_eval
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Refactored decode, make_experience and added support for external reference models
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Fix BoN sampling after big refactor
Dahoas
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Fixing style
Dahoas
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