mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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2a115dae84
Co-authored-by: DreamGenX <x@dreamgen.com> Co-authored-by: Ace-RR <78812427+Ace-RR@users.noreply.github.com> Co-authored-by: bprus <39293131+bprus@users.noreply.github.com> Co-authored-by: janpetrov <janpetrov@icloud.com>
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
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, 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, required=True)
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@click.option("--engine_dir", type=str, default=None)
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@click.option("--prompt", type=str, default=None)
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def main(model_dir: str, tp_size: int, engine_dir: str, prompt: 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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sampling_params = SamplingParams(max_new_tokens=10, end_id=-1)
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# For intentional failure test, need a simple prompt here to start LLM
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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 prompt is not None:
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for output in llm.generate([prompt], 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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