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hub / github.com/NVIDIA/TensorRT-LLM / evaluate

Method evaluate

tensorrt_llm/evaluate/interface.py:85–114  ·  view source on GitHub ↗
(self,
                 llm: Any,
                 sampling_params: Optional[SamplingParams] = None,
                 streaming: bool = False)

Source from the content-addressed store, hash-verified

83 return sampling_params
84
85 def evaluate(self,
86 llm: Any,
87 sampling_params: Optional[SamplingParams] = None,
88 streaming: bool = False) -> float:
89 profiler.start("trtllm exec")
90 outputs, references, auxiliaries = [], [], []
91 for prompt, sampling_args, reference, *aux in tqdm(
92 self.generate_samples(), desc="Submitting requests"):
93 if self.apply_chat_template:
94 prompt = self.do_apply_chat_template(llm, prompt)
95 sampling_params = self._get_sampline_params(sampling_params,
96 sampling_args)
97 output = llm.generate_async(
98 prompt,
99 sampling_params,
100 streaming=streaming,
101 )
102 outputs.append(output)
103 references.append(reference)
104 auxiliaries.append(aux)
105 results = []
106 for output in tqdm(outputs, desc="Fetching responses"):
107 results.append(output.result())
108 profiler.stop("trtllm exec")
109 elapsed_time = profiler.elapsed_time_in_sec("trtllm exec")
110 logger.info(f"TRTLLM execution time: {elapsed_time:.3f} seconds.")
111 profiler.reset("trtllm exec")
112
113 score = self.compute_score(results, references, *zip(*auxiliaries))
114 return score
115
116 @staticmethod
117 def command(ctx, *args, **kwargs) -> None:

Callers

nothing calls this directly

Calls 12

generate_samplesMethod · 0.95
_get_sampline_paramsMethod · 0.95
compute_scoreMethod · 0.95
startMethod · 0.45
generate_asyncMethod · 0.45
appendMethod · 0.45
resultMethod · 0.45
stopMethod · 0.45
elapsed_time_in_secMethod · 0.45
infoMethod · 0.45
resetMethod · 0.45

Tested by

no test coverage detected