Implemented logit processors and stop criteria's

llama_cpp/llama.py

@@ -316,6 +316,7 @@ class Llama:
         mirostat_tau: llama_cpp.c_float,
         mirostat_eta: llama_cpp.c_float,
         penalize_nl: bool = True,
+        logits_processors=None
     ):
         assert self.ctx is not None
         assert len(self.eval_logits) > 0
@@ -328,6 +329,10 @@ class Llama:
             else last_n_tokens_size
         )
         logits = self.eval_logits[-1]
+        for processor in logits_processors:
+            logits = processor(list(self.eval_tokens), logits)
+
+        self.eval_logits[-1] = logits
         nl_logit = logits[self._token_nl]
         candidates = self._candidates
         for i, logit in enumerate(logits):
@@ -436,6 +441,8 @@ class Llama:
         mirostat_eta: float = 0.1,
         mirostat_tau: float = 5.0,
         penalize_nl: bool = True,
+        logits_processors=None
+
     ):
         """Sample a token from the model.
 
@@ -468,6 +475,8 @@ class Llama:
             mirostat_tau=llama_cpp.c_float(mirostat_tau),
             mirostat_eta=llama_cpp.c_float(mirostat_eta),
             penalize_nl=penalize_nl,
+            logits_processors=logits_processors
+
         )
 
     def generate(
@@ -484,6 +493,7 @@ class Llama:
         mirostat_mode: int = 0,
         mirostat_tau: float = 5.0,
         mirostat_eta: float = 0.1,
+        logits_processors=None
     ) -> Generator[int, Optional[Sequence[int]], None]:
         """Create a generator of tokens from a prompt.
 
@@ -541,6 +551,7 @@ class Llama:
                 mirostat_mode=mirostat_mode,
                 mirostat_tau=mirostat_tau,
                 mirostat_eta=mirostat_eta,
+                logits_processors=logits_processors
             )
             tokens_or_none = yield token
             tokens = [token]
@@ -637,6 +648,8 @@ class Llama:
         mirostat_tau: float = 5.0,
         mirostat_eta: float = 0.1,
         model: Optional[str] = None,
+        logits_processors=None,
+        stopping_criterias=None
     ) -> Union[Iterator[Completion], Iterator[CompletionChunk]]:
         assert self.ctx is not None
         completion_id: str = f"cmpl-{str(uuid.uuid4())}"
@@ -700,6 +713,7 @@ class Llama:
             frequency_penalty=frequency_penalty,
             presence_penalty=presence_penalty,
             repeat_penalty=repeat_penalty,
+            logits_processors=logits_processors
         ):
             if token == self._token_eos:
                 text = self.detokenize(completion_tokens)
@@ -707,6 +721,14 @@ class Llama:
                 break
 
             completion_tokens.append(token)
+            for stopping_crit in stopping_criterias:
+                if stopping_crit(completion_tokens, None):
+                    text = self.detokenize(completion_tokens)
+                    finish_reason = "stop"
+                    break
+
+            if finish_reason == "stop":
+                break
 
             all_text = self.detokenize(completion_tokens)
 
@@ -1006,6 +1028,8 @@ class Llama:
         mirostat_tau: float = 5.0,
         mirostat_eta: float = 0.1,
         model: Optional[str] = None,
+        logits_processors=None,
+        stopping_criterias=None
     ) -> Union[Completion, Iterator[CompletionChunk]]:
         """Generate text from a prompt.
 
@@ -1048,6 +1072,9 @@ class Llama:
             mirostat_tau=mirostat_tau,
             mirostat_eta=mirostat_eta,
             model=model,
+            logits_processors=logits_processors,
+            stopping_criterias=stopping_criterias
+
         )
         if stream:
             chunks: Iterator[CompletionChunk] = completion_or_chunks