在Grace Hopper上安装
安装 TensorRT-LLM(已在 Ubuntu 22.04 上测试)。
pip3 install torch==2.5.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124 sudo apt-get -y install libopenmpi-dev && pip3 install tensorrt_llm
如果使用PyTorch NGC Container镜像,则不需要执行安装支持CUDA的PyTorch包的先决步骤。
通过在Python中运行以下内容来检查安装是否正常(已在Python 3.10上测试):
from tensorrt_llm import LLM, SamplingParams prompts = [ "Hello, my name is", "The president of the United States is", "The capital of France is", "The future of AI is", ] sampling_params = SamplingParams(temperature=0.8, top_p=0.95) llm = LLM(model="TinyLlama/TinyLlama-1.1B-Chat-v1.0") outputs = llm.generate(prompts, sampling_params) # Print the outputs. for output in outputs: prompt = output.prompt generated_text = output.outputs[0].text print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")