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fixed HeterogeneousNextTokenChooser by using HeterogeneousProcessorWrapper with SequenceBiasLogitsProcessor

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marcusdunn 2023-08-10 09:49:55 -07:00
parent 8453eca41b
commit a64c2a6f89
1 changed files with 52 additions and 45 deletions
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13
server/text_generation_server/utils/tokens.py
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@ -171,7 +171,7 @@ class HeterogeneousNextTokenChooser:
typical_p: List[float], typical_p: List[float],
do_sample: List[bool], do_sample: List[bool],
seeds: List[int], seeds: List[int],
logit_bias: Dict[Tuple[int], float], logit_bias: List[Dict[Tuple[int], float]],
): ):
warpers = [] warpers = []
@ -196,8 +196,14 @@ class HeterogeneousNextTokenChooser:
) )
self.sequence_bias_logits_processor = ( self.sequence_bias_logits_processor = (
SequenceBiasLogitsProcessor(sequence_bias = logit_bias) HeterogeneousProcessorWrapper({
) if any([logit_bias[k] != 0.0 for k in logit_bias]) else None i: SequenceBiasLogitsProcessor(
bias
)
for i, bias in enumerate(logit_bias)
if any([bias[k] != 0.0 for k in bias])
})
) if logit_bias else None
if any([x != 1.0 for x in temperature]): if any([x != 1.0 for x in temperature]):
do_sample = [ do_sample = [
@ -291,6 +297,7 @@ class HeterogeneousNextTokenChooser:
seeds=[pb_.seed for pb_ in pb], seeds=[pb_.seed for pb_ in pb],
device=device, device=device,
dtype=dtype, dtype=dtype,
logit_bias={},
) )