failed to use "stop_words_list" for tensorrt-llm==0.9.0

[AGI-player]

i use GenerationExecutorWorker for web service, using the parameters stop_words_list = [["hello, yes"]] by modifying the as_inference_request function in exectutor.py as follow:


the ir parameter as follow:

then failed

[byshiue]

Please follow the issue template to share the full end to end reproduced steps. Thank you for cooperation.

[AGI-player]

Please follow the issue template to share the full end to end reproduced steps. Thank you for cooperation.

the trt engine was built with:
trtllm-build --gemm_plugin float16 --max_batch_size=128 --max_input_len=8192 --max_output_len=0 --gpt_attention_plugin float16 --paged_kv_cache enable --remove_input_padding enable --context_fmha enable --max_num_tokens 104448

then use the TensorRT-LLM/examples/apps/fastapi_server.py for web service as follow:
python3 -m apps.fastapi_server path/to/engine/ path/to/tokenizer --port 8001

for parameters setting (temperature and stop words list), i modified the TensorRT-LLM/examples/apps/fastapi_server.py file

and tensorrt_llm/exectutor.py file

if i didn't pass the stop_words_list, it works well.

It failed when i use the stop words list

[Superjomn]

The stop_words_list is not supported well in 0.9.0, maybe you can try the latest main branch, we have refactored the GenerationExecutor, and the stop_words are supported.

[AGI-player]

The stop_words_list is not supported well in 0.9.0, maybe you can try the latest main branch, we have refactored the GenerationExecutor, and the stop_words are supported.

I update the trt version to 0.11.0.dev2024052100，it doesn't work...

[fan-niu]

@Superjomn @byshiue Same question, can you give an example of successful use of stop_words or stop_words_list? Thank you, I am currently using the service started by tensorrtllm_backend, the commit number is 75b0964, and the corresponding tensorrtllm version number is f430a4b

[github-actions]

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