mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-26 05:32:57 +08:00
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
#!/usr/bin/env python3
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import os
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from typing import Optional
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import click
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from tensorrt_llm._tensorrt_engine import LLM as TrtLLM
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from tensorrt_llm.llmapi import LLM, BuildConfig, SamplingParams
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@click.command()
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@click.option("--model_dir", type=str, required=True)
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@click.option("--tp_size", type=int, default=1)
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@click.option("--engine_dir", type=str, default=None)
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@click.option("--backend", type=str, default=None)
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def main(model_dir: str, tp_size: int, engine_dir: str, backend: Optional[str]):
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build_config = BuildConfig()
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build_config.max_batch_size = 8
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build_config.max_input_len = 256
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build_config.max_seq_len = 512
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backend = backend or "tensorrt"
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assert backend in ["pytorch", "tensorrt"]
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llm_cls = TrtLLM if backend == "tensorrt" else LLM
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kwargs = {} if backend == "pytorch" else {"build_config": build_config}
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llm = llm_cls(model_dir, tensor_parallel_size=tp_size, **kwargs)
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if engine_dir is not None and os.path.abspath(
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engine_dir) != os.path.abspath(model_dir):
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llm.save(engine_dir)
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sampling_params = SamplingParams(max_tokens=10, end_id=-1)
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prompt_token_ids = [45, 12, 13]
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for output in llm.generate([prompt_token_ids],
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sampling_params=sampling_params):
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print(output)
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if __name__ == '__main__':
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main()
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