fix: one-shot generation not to concatenate duplicates

Signed-off-by: paperspace <29749331+aarnphm@users.noreply.github.com>

openllm-python/src/_openllm_tiny/_llm.py

@@ -200,7 +200,6 @@ class LLM:
     if stop_token_ids is not None:
       attrs.update({'stop_token_ids': stop_token_ids})
     config = self.config.model_construct_env(**attrs)
-    texts, token_ids = [[]] * config['n'], [[]] * config['n']
     async for result in self.generate_iterator(
       prompt,
       prompt_token_ids=prompt_token_ids,
@@ -208,18 +207,7 @@ class LLM:
       adapter_name=adapter_name,
       **config.model_dump(),
     ):
-      for output in result.outputs:
-        texts[output.index].append(output.text)
-        token_ids[output.index].extend(output.token_ids)
+      pass
     if (final_result := result) is None:
       raise RuntimeError('No result is returned.')
-    converted = GenerationOutput.from_vllm(final_result)
-    return converted.model_copy(
-      update=dict(
-        prompt=prompt,
-        outputs=[
-          output.model_copy(update=dict(text=''.join(texts[output.index]), token_ids=token_ids[output.index]))
-          for output in converted.outputs
-        ],
-      )
-    )
+    return GenerationOutput.from_vllm(final_result).model_copy(update=dict(prompt=prompt))