mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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31 lines
808 B
Python
31 lines
808 B
Python
#!/usr/bin/env python3
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import os
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import click
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from tensorrt_llm.hlapi import LLM, ModelConfig, SamplingConfig
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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, required=True)
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@click.option("--engine_dir", type=str, default=None)
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def main(model_dir: str, tp_size: int, engine_dir: str):
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config = ModelConfig(model_dir)
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config.parallel_config.tp_size = tp_size
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llm = LLM(config)
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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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prompt = [45, 12, 13]
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sampling_config = SamplingConfig(max_new_tokens=10)
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for output in llm.generate([prompt], sampling_config=sampling_config):
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print(output)
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if __name__ == '__main__':
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main()
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