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Implement support for sampler order in the backend code

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Gnome Ann
2022-06-13 19:12:23 -04:00
parent a273a5ebc4
commit 2d3db7b4ba
3 changed files with 48 additions and 27 deletions
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27
aiserver.py
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@ -306,6 +306,7 @@ class vars:
acregex_ui = re.compile(r'^ *(>.*)$', re.MULTILINE) # Pattern for matching actions in the HTML-escaped story so we can apply colouring, etc (make sure to encase part to format in parentheses)
comregex_ai = re.compile(r'(?:\n<\|(?:.|\n)*?\|>(?=\n|$))|(?:<\|(?:.|\n)*?\|>\n?)') # Pattern for matching comments to remove them before sending them to the AI
comregex_ui = re.compile(r'(&lt;\|(?:.|\n)*?\|&gt;)') # Pattern for matching comments in the editor
sampler_order = utils.default_sampler_order.copy()
chatmode = False
chatname = "You"
adventure = False
@ -1448,15 +1449,23 @@ if(not vars.use_colab_tpu and vars.model not in ["InferKit", "Colab", "OAI", "Go
new_get_logits_processor.old_get_logits_processor = transformers.generation_utils.GenerationMixin._get_logits_processor
transformers.generation_utils.GenerationMixin._get_logits_processor = new_get_logits_processor
class KoboldLogitsWarperList(LogitsProcessorList):
def __init__(self, beams: int = 1, **kwargs):
self.__warper_list: List[LogitsWarper] = []
self.__warper_list.append(TopKLogitsWarper(top_k=1, min_tokens_to_keep=1 + (beams > 1)))
self.__warper_list.append(TopALogitsWarper(top_a=0.5, min_tokens_to_keep=1 + (beams > 1)))
self.__warper_list.append(TopPLogitsWarper(top_p=0.5, min_tokens_to_keep=1 + (beams > 1)))
self.__warper_list.append(TailFreeLogitsWarper(tfs=0.5, min_tokens_to_keep=1 + (beams > 1)))
self.__warper_list.append(TypicalLogitsWarper(typical=0.5, min_tokens_to_keep=1 + (beams > 1)))
self.__warper_list.append(TemperatureLogitsWarper(temperature=0.5))
def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor, *args, **kwargs):
for k in vars.sampler_order:
scores = self.__warper_list[k](input_ids, scores, *args, **kwargs)
return scores
def new_get_logits_warper(beams: int = 1,) -> LogitsProcessorList:
warper_list = LogitsProcessorList()
warper_list.append(TopKLogitsWarper(top_k=1, min_tokens_to_keep=1 + (beams > 1)))
warper_list.append(TopALogitsWarper(top_a=0.5, min_tokens_to_keep=1 + (beams > 1)))
warper_list.append(TopPLogitsWarper(top_p=0.5, min_tokens_to_keep=1 + (beams > 1)))
warper_list.append(TailFreeLogitsWarper(tfs=0.5, min_tokens_to_keep=1 + (beams > 1)))
warper_list.append(TypicalLogitsWarper(typical=0.5, min_tokens_to_keep=1 + (beams > 1)))
warper_list.append(TemperatureLogitsWarper(temperature=0.5))
return warper_list
return KoboldLogitsWarperList(beams=beams)
def new_sample(self, *args, **kwargs):
assert kwargs.pop("logits_warper", None) is not None
@ -1816,6 +1825,7 @@ else:
def tpumtjgenerate_settings_callback() -> dict:
return {
"sampler_order": vars.sampler_order,
"top_p": float(vars.top_p),
"temp": float(vars.temp),
"top_k": int(vars.top_k),
@ -3910,6 +3920,7 @@ def tpumtjgenerate(txt, minimum, maximum, found_entries=None):
rprange=vars.rep_pen_range,
soft_embeddings=vars.sp,
soft_tokens=soft_tokens,
sampler_order=vars.sampler_order,
)
past = genout
for i in range(vars.numseqs):