evahteev
diff --git a/‎llama_cpp/llama.py
Copy file name to clipboardExpand all lines: llama_cpp/llama.py
+39-67Lines changed: 39 additions & 67 deletions b/‎llama_cpp/llama.py
Copy file name to clipboardExpand all lines: llama_cpp/llama.py
+39-67Lines changed: 39 additions & 67 deletions
@@ -351,55 +351,19 @@ def _create_completion(
         else:
             stop_sequences = []
 
-        text_offset = 0
-        text_offsets: List[int] = []
-        token_logprobs: List[float] = []
-        tokens: List[str] = []
-        top_logprobs: List[Dict[str, float]] = []
-
-        self.reset()
-        self.eval(prompt_tokens)
-
         if logprobs is not None and self.params.logits_all is False:
             raise ValueError(
                 "logprobs is not supported for models created with logits_all=False"
             )
 
-        if logprobs is not None:
-            token_strs = [
-                self.detokenize([token]).decode("utf-8") for token in prompt_tokens
-            ]
-            logprobs_all = [
-                [Llama.logit_to_logprob(logit) for logit in row]
-                for row in self.all_logits
-            ]
-            for token, token_str, logprobs_token in zip(
-                prompt_tokens, token_strs, logprobs_all
-            ):
-                text_offsets.append(text_offset)
-                text_offset += len(token_str)
-                tokens.append(token_str)
-                sorted_logprobs = list(
-                    sorted(
-                        zip(logprobs_token, range(len(logprobs_token))), reverse=True
-                    )
-                )
-                token_logprobs.append(sorted_logprobs[int(token)][0])
-                top_logprob = {
-                    self.detokenize([llama_cpp.llama_token(i)]).decode("utf-8"): logprob
-                    for logprob, i in sorted_logprobs[:logprobs]
-                }
-                top_logprob.update({token_str: sorted_logprobs[int(token)][0]})
-                top_logprobs.append(top_logprob)
-
         finish_reason = "length"
-        while True:
-            token = self.sample(
-                top_k=top_k,
-                top_p=top_p,
-                temp=temperature,
-                repeat_penalty=repeat_penalty,
-            )
+        for token in self.generate(
+            prompt_tokens,
+            top_k=top_k,
+            top_p=top_p,
+            temp=temperature,
+            repeat_penalty=repeat_penalty,
+        ):
             if token == llama_cpp.llama_token_eos():
                 text = self.detokenize(completion_tokens)
                 finish_reason = "stop"
@@ -443,34 +407,10 @@ def _create_completion(
                     ],
                 }
 
-            if logprobs is not None:
-                # TODO: Confirm wether this should happen before or after
-                # next eval.
-                token_str = self.detokenize([token]).decode("utf-8")
-                text_offsets.append(text_offset)
-                text_offset += len(token_str)
-                tokens.append(token_str)
-                logprobs_token = [
-                    Llama.logit_to_logprob(logit) for logit in self.all_logits[-1]
-                ]
-                sorted_logprobs = list(
-                    sorted(
-                        zip(logprobs_token, range(len(logprobs_token))), reverse=True
-                    )
-                )
-                token_logprobs.append(sorted_logprobs[int(token)][0])
-                top_logprob = {
-                    self.detokenize([llama_cpp.llama_token(i)]).decode("utf-8"): logprob
-                    for logprob, i in sorted_logprobs[:logprobs]
-                }
-                top_logprob.update({token_str: logprobs_token[int(token)]})
-                top_logprobs.append(top_logprob)
-
             if len(completion_tokens) >= max_tokens:
                 text = self.detokenize(completion_tokens)
                 finish_reason = "length"
                 break
-            self.eval([token])
 
         if stream:
             yield {
@@ -499,6 +439,38 @@ def _create_completion(
 
         logprobs_or_none: Optional[CompletionLogprobs] = None
         if logprobs is not None:
+            text_offset = 0
+            text_offsets: List[int] = []
+            token_logprobs: List[float] = []
+            tokens: List[str] = []
+            top_logprobs: List[Dict[str, float]] = []
+
+            all_tokens = prompt_tokens + completion_tokens
+            all_token_strs = [
+                self.detokenize([token]).decode("utf-8") for token in all_tokens
+            ]
+            all_logprobs = [
+                [Llama.logit_to_logprob(logit) for logit in row]
+                for row in self.all_logits
+            ]
+            for token, token_str, logprobs_token in zip(
+                all_tokens, all_token_strs, all_logprobs
+            ):
+                text_offsets.append(text_offset)
+                text_offset += len(token_str)
+                tokens.append(token_str)
+                sorted_logprobs = list(
+                    sorted(
+                        zip(logprobs_token, range(len(logprobs_token))), reverse=True
+                    )
+                )
+                token_logprobs.append(sorted_logprobs[int(token)][0])
+                top_logprob = {
+                    self.detokenize([llama_cpp.llama_token(i)]).decode("utf-8"): logprob
+                    for logprob, i in sorted_logprobs[:logprobs]
+                }
+                top_logprob.update({token_str: sorted_logprobs[int(token)][0]})
+                top_logprobs.append(top_logprob)
             logprobs_or_none = {
                 "tokens": tokens,
                 "text_offset": text_offsets,