主要是因为tensorr-llm中依赖的CUBIN（二进制代码）是基于cuda12.x编译生成的，想要跑只能更新驱动。
Tensorrt-LLM 编译安装 蘑菇 v100 32G ubuntu 22.04 NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 12.4安装miniconda conda create -n py310 python==3.10.12 conda activate py310 conda install mpi4py apt-install git-lfs git lfs install git clone --recursive github.com/NVIDIA/Tenso...
之前玩内测版的时候就需要cuda-12.x,正式出来仍是需要cuda-12.x,主要是因为tensorr-llm中依赖的CUBIN(二进制代码)是基于cuda12.x编译生成的,想要跑只能更新驱动。 I’ve verified with our CUDA team. A CUBIN built with CUDA 12.x will not loadin CUDA 11.x. CUDA 12.x is required to use TensorR...
The TensorRT ecosystem includes the TensorRT compiler, TensorRT-LLM, TensorRT Model Optimizer, TensorRT for RTX, and TensorRT Cloud. Download NowDocumentationForum How TensorRT Works Speed up inference by 36X compared to CPU-only platforms. Built on the NVIDIA® CUDA® parallel programming model...
初始化 TRT-LLM 子模块：git lfs installgit submodule update --init --recursive 从 HuggingFace 下载 LLaMa 模型：huggingface-cli loginhuggingface-cli download meta-llama/Llama-2-7b-hf 启动 Triton Server Docker 容器：# Replace <yy.mm> with the version of Triton you want to use.# The command ...
准备 TensorRT-LLM 环境 1. 构建 Notebook 所需镜像。FROM docker.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04ENV DEBIAN_FRONTEND=noninteractiveRUN apt-get update && apt-get upgrade -y && \ apt-get install -y --no-install-recommends \ libgl1 libglib2.0-0 wget git curl vim...
Base Docker image for TensorRT-LLM Backend is updated tonvcr.io/nvidia/tritonserver:24.07-py3. The dependent TensorRT version is updated to 10.4.0. The dependent CUDA version is updated to 12.5.1. The dependent PyTorch version is updated to 2.4.0. ...
准备TensorRT-LLM 环境 1.构建 Notebook 所需镜像。 FROM docker.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04 ENV DEBIAN_FRONTEND=noninteractive RUN apt-getupdate&& apt-getupgrade-y && \ apt-getinstall-y--no-install-recommends \ libgl1 libglib2.0-0wget git curl vim \ ...
TensorRT-LLM正式出来有半个月了,一直没有时间玩,周末趁着有时间跑一下。 之前玩内测版的时候就需要cuda-12.x,正式出来仍是需要cuda-12.x,主要是因为tensorr-llm中依赖的CUBIN(二进制代码)是基于cuda12.x编译生成的,想要跑只能更新驱动。 I’ve verified with our CUDA team. A CUBIN built with CUDA 12....
3.1. 设置TensorRT-LLM环境 下面我们参考TensorRT-LLM的官网[1]进行设置。 # 安装docker sudo apt-get install docker # 部署nvidia ubuntu容器 docker run --runtime=nvidia --gpus all -v /home/ubuntu/data:/data -p 8000:8000 --entrypoint /bin/bash -itd nvidia/cuda:12.4.0-devel-ubuntu22.04 ...