Llm Mgmn Trtllm Serve#

Source NVIDIA/TensorRT-LLM.

 1#!/bin/bash
 2#SBATCH -A <account>
 3#SBATCH -p <partition>
 4#SBATCH -t 01:00:00
 5#SBATCH -N 2
 6#SBATCH --ntasks-per-node=8
 7#SBATCH -o logs/trtllm-serve.out
 8#SBATCH -e logs/trtllm-serve.err
 9#SBATCH -J trtllm-serve
10
11### Run trtllm-serve with pytorch backend on Slurm
12
13# NOTE, this feature is experimental and may not work on all systems.
14# The trtllm-llmapi-launch is a script that launches the LLM-API code on
15# Slurm-like systems, and can support multi-node and multi-GPU setups.
16
17# Note that, the number of MPI processes should be the same as the model world
18# size. e.g. For tensor_parallel_size=16, you may use 2 nodes with 8 gpus for
19# each, or 4 nodes with 4 gpus for each or other combinations.
20
21# This docker image should have tensorrt_llm installed, or you need to install
22# it in the task.
23
24# The following variables are expected to be set in the environment:
25# You can set them via --export in the srun/sbatch command.
26#   CONTAINER_IMAGE: the docker image to use, you'd better install tensorrt_llm in it, or install it in the task.
27#   MOUNT_DIR: the directory to mount in the container
28#   MOUNT_DEST: the destination directory in the container
29#   WORKDIR: the working directory in the container
30#   SOURCE_ROOT: the path to the TensorRT-LLM source
31#   PROLOGUE: the prologue to run before the script
32#   LOCAL_MODEL: the local model directory to use, NOTE: downloading from HF is
33#      not supported in Slurm mode, you need to download the model and put it in
34#      the LOCAL_MODEL directory.
35
36
37echo "Starting trtllm-serve..."
38# Just launch trtllm-serve job with trtllm-llmapi-launch command.
39srun -l \
40    --container-image=${CONTAINER_IMAGE} \
41    --container-mounts=${MOUNT_DIR}:${MOUNT_DEST} \
42    --container-workdir=${WORKDIR} \
43    --export=ALL,PYTHONPATH=${SOURCE_ROOT} \
44    --mpi=pmix \
45    bash -c "
46        set -ex
47        $PROLOGUE
48        export PATH=$PATH:~/.local/bin
49
50        trtllm-llmapi-launch \
51         trtllm-serve $LOCAL_MODEL \
52            --tp_size 16 \
53            --backend pytorch \
54            ${ADDITIONAL_OPTIONS}
55    "