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[Do not land] Temp changes for testing chunked attention #4501

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[Do not land] Temp changes for testing chunked attention #4501

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15 changes: 8 additions & 7 deletions examples/llm-eval/lm-eval-harness/lm_eval_tensorrt_llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,7 @@ def __init__(
self.moe_expert_parallel_size = moe_expert_parallel_size
self.moe_backend = moe_backend
trt_kv_cache_config = TRT_KvCacheConfig(enable_block_reuse=False)
trt_kv_cache_config.free_gpu_memory_fraction = free_gpu_memory_fraction
trt_kv_cache_config.free_gpu_memory_fraction = 0.5
if max_tokens_kv_cache is not None:
trt_kv_cache_config.max_tokens = max_tokens_kv_cache

Expand Down Expand Up @@ -109,7 +109,8 @@ def __init__(
model=model,
tensor_parallel_size=tp,
trust_remote_code=trust_remote_code,
enable_chunked_prefill=False,
enable_chunked_prefill=True,
max_num_tokens=2048,
pytorch_backend_config=pytorch_config,
tokenizer=self.tokenizer,
kv_cache_config=trt_kv_cache_config,
Expand Down Expand Up @@ -292,11 +293,11 @@ def _get_sp(gen_kwargs):
# process the output of the request i
r_out: RequestOutput = futures.pop(i).result()
stop_words = future_stop_words.pop(i)
for word in stop_words:
txt = r_out.outputs[0].text
word_index = txt.find(word)
if word_index >= 0:
txt = txt[:word_index]
txt = r_out.outputs[0].text
# for word in stop_words:
# word_index = txt.find(word)
# if word_index >= 0:
# txt = txt[:word_index]
results.append(txt)

return results
Expand Down