Overall build TRTLLM and deps through CMake build system

This commit is contained in:
Morgan Funtowicz 2024-07-02 17:16:27 +02:00
parent 6dc98abe46
commit 818162e0c2
6 changed files with 198 additions and 20 deletions

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@ -2,3 +2,4 @@ aml
target
server/transformers
server/flash-attention
cmake-build*

23
Dockerfile.trtllm Normal file
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@ -0,0 +1,23 @@
# All the tooling for CUDA
FROM nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04 AS cuda-builder
WORKDIR /usr/src/tgi/backends/trtllm
RUN apt update && apt install -y cmake git git-lfs gcc g++ ninja-build libopenmpi-dev python3-dev python3-pip wget
COPY . /usr/src/tgi
RUN chmod +x scripts/install_tensorrt.sh && scripts/install_tensorrt.sh
RUN cmake -G Ninja -B build -DTRT_LIB_DIR=/usr/local/tensorrt/lib -DTRT_INCLUDE_DIR=/usr/local/tensorrt/include .
RUN cmake --build build --parallel -t tgi_trtllm_backend_impl
# All the tooling for Rust
FROM lukemathwalker/cargo-chef:latest-rust-1.79 AS chef
WORKDIR /usr/src
# Include CUDA related libraries and tools to the Rust based image
COPY --from=cuda-builder /usr/local/cuda /usr/local/cuda
COPY --from=cuda-builder /usr/local/tensorrt /usr/local/tensorrt
COPY --from=cuda-builder /usr/src/tgi/backends/trtllm/build /usr/local/tgi/trtllm/build
ENV PATH=/usr/local/cuda/bin:$PATH
ENV LD_LIBRARY_PATH=/usr/local/tensorrt/lib:$LD_LIBRARY_PATH
RUN apt update && apt install -y cmake git gcc g++ ninja-build libopenmpi3

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@ -1,32 +1,32 @@
cmake_minimum_required(VERSION 3.26)
cmake_minimum_required(VERSION 3.20)
project(tgi-trtllm-backend VERSION 1.0.0)
set(CMAKE_CXX_STANDARD 20)
include(FetchContent)
include(ExternalProject)
option(TGI_TRTLLM_BACKEND_BUILD_TESTS "Enable building the unittests suite" OFF)
set(TGI_TRTLLM_BACKEND_TARGET_CUDA_ARCH_LIST "86-real;89-real;90-real" CACHE STRING "List of CUDA architectures to support")
set(TGI_TRTLLM_BACKEND_TRT_ROOT "/usr/local/tensorrt" CACHE PATH "Path where TensorRT libraries and headers are located")
set(TGI_TRTLLM_BACKEND_TRT_INCLUDE_DIR "${TGI_TRTLLM_BACKEND_TRT_ROOT}/include" CACHE PATH "Path where TensorRT headers are located")
set(TGI_TRTLLM_BACKEND_TRT_LIB_DIR "${TGI_TRTLLM_BACKEND_TRT_ROOT}/lib" CACHE PATH "Path where TensorRT libraries are located")
if (NOT EXISTS ${TGI_TRTLLM_BACKEND_TRT_ROOT})
message(FATAL_ERROR "TensorRT specified location: ${TGI_TRTLLM_BACKEND_TRT_ROOT} doesn't exist")
else ()
if (NOT EXISTS ${TGI_TRTLLM_BACKEND_TRT_INCLUDE_DIR})
message(FATAL_ERROR "TensorRT headers were not found at: ${TGI_TRTLLM_BACKEND_TRT_INCLUDE_DIR}")
endif ()
if (NOT EXISTS ${TGI_TRTLLM_BACKEND_TRT_LIB_DIR})
message(FATAL_ERROR "TensorRT libraries were not found at: ${TGI_TRTLLM_BACKEND_TRT_LIB_DIR}")
endif ()
endif ()
#### External dependencies ####
# Logging library (SPDLOG)
set(SPDLOG_USE_FMT ON)
fetchcontent_declare(
spdlog
GIT_REPOSITORY https://github.com/gabime/spdlog.git
GIT_TAG v2.x
)
fetchcontent_makeavailable(spdlog)
# TensorRT-LLM
fetchcontent_declare(
trtllm
GIT_REPOSITORY https://github.com/nvidia/tensorrt-llm.git
GIT_TAG 9691e12bce7ae1c126c435a049eb516eb119486c
)
fetchcontent_populate(trtllm)
include_directories("${trtllm_SOURCE_DIR}/cpp/include")
message(STATUS "Found TensorRT-LLM: ${trtllm_SOURCE_DIR}")
include(cmake/spdlog.cmake)
include(cmake/trtllm.cmake)
# TGI TRTLLM Backend definition
add_library(tgi_trtllm_backend_impl STATIC include/backend.h lib/backend.cpp)
@ -34,7 +34,7 @@ target_include_directories(tgi_trtllm_backend_impl PRIVATE
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
$<INSTALL_INTERFACE:include>
)
target_link_libraries(tgi_trtllm_backend_impl PUBLIC spdlog::spdlog)
target_link_libraries(tgi_trtllm_backend_impl PUBLIC spdlog::spdlog tensorrt_llm nvinfer_plugin_tensorrt_llm)
#### Unit Tests ####
if (${TGI_TRTLLM_BACKEND_BUILD_TESTS})

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set(SPDLOG_USE_FMT ON)
fetchcontent_declare(
spdlog
GIT_REPOSITORY https://github.com/gabime/spdlog.git
GIT_TAG v2.x
)
fetchcontent_makeavailable(spdlog)

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set(NVTX_DISABLE OFF)
set(BUILD_PYT OFF)
set(BUILD_PYBIND OFF)
set(BUILD_MICRO_BENCHMARKS OFF)
set(BUILD_BENCHMARKS OFF)
set(BUILD_TESTS OFF)
set(TRT_INCLUDE_DIR ${TGI_TRTLLM_BACKEND_TRT_INCLUDE_DIR})
set(TRT_LIB_DIR ${TGI_TRTLLM_BACKEND_TRT_LIB_DIR})
set(CMAKE_CUDA_ARCHITECTURES ${TGI_TRTLLM_BACKEND_TARGET_CUDA_ARCH_LIST})
message(STATUS "Building for CUDA Architectures: ${CMAKE_CUDA_ARCHITECTURES}")
if (${CMAKE_BUILD_TYPE} STREQUAL "Debug")
set(FAST_BUILD ON)
else ()
set(FAST_BUILD OFF)
endif ()
fetchcontent_declare(
trtllm
GIT_REPOSITORY https://github.com/nvidia/tensorrt-llm.git
GIT_TAG 9691e12bce7ae1c126c435a049eb516eb119486c
GIT_SHALLOW TRUE
)
fetchcontent_makeavailable(trtllm)
message(STATUS "Found TensorRT-LLM: ${trtllm_SOURCE_DIR}")
execute_process(COMMAND git lfs init WORKING_DIRECTORY "${trtllm_SOURCE_DIR}/")
execute_process(COMMAND git lfs pull WORKING_DIRECTORY "${trtllm_SOURCE_DIR}/")
add_subdirectory("${trtllm_SOURCE_DIR}/cpp")
include_directories("${trtllm_SOURCE_DIR}/cpp/include")

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#!/bin/bash
set -ex
TRT_VER="10.1.0.27"
# Align with the pre-installed cuDNN / cuBLAS / NCCL versions from
# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-24-05.html#rel-24-05
CUDA_VER="12.4" # 12.4.1
# Keep the installation for cuDNN if users want to install PyTorch with source codes.
# PyTorch 2.3.x can compile with cuDNN v9.
CUDNN_VER="9.1.0.70-1"
NCCL_VER="2.21.5-1+cuda12.4"
CUBLAS_VER="12.4.5.8-1"
# Align with the pre-installed CUDA / NVCC / NVRTC versions from
# https://docs.nvidia.com/cuda/archive/12.4.1/cuda-toolkit-release-notes/index.html
NVRTC_VER="12.4.127-1"
for i in "$@"; do
case $i in
--TRT_VER=?*) TRT_VER="${i#*=}";;
--CUDA_VER=?*) CUDA_VER="${i#*=}";;
--CUDNN_VER=?*) CUDNN_VER="${i#*=}";;
--NCCL_VER=?*) NCCL_VER="${i#*=}";;
--CUBLAS_VER=?*) CUBLAS_VER="${i#*=}";;
*) ;;
esac
shift
done
NVCC_VERSION_OUTPUT=$(nvcc --version)
if [[ $(echo $NVCC_VERSION_OUTPUT | grep -oP "\d+\.\d+" | head -n 1) != ${CUDA_VER} ]]; then
echo "The version of pre-installed CUDA is not equal to ${CUDA_VER}."
exit 1
fi
install_ubuntu_requirements() {
apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates
ARCH=$(uname -m)
if [ "$ARCH" = "amd64" ];then ARCH="x86_64";fi
if [ "$ARCH" = "aarch64" ];then ARCH="sbsa";fi
curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${ARCH}/cuda-keyring_1.0-1_all.deb
dpkg -i cuda-keyring_1.0-1_all.deb
apt-get update
if [[ $(apt list --installed | grep libcudnn9) ]]; then
apt-get remove --purge -y --allow-change-held-packages libcudnn9*
fi
if [[ $(apt list --installed | grep libnccl) ]]; then
apt-get remove --purge -y --allow-change-held-packages libnccl*
fi
if [[ $(apt list --installed | grep libcublas) ]]; then
apt-get remove --purge -y --allow-change-held-packages libcublas*
fi
if [[ $(apt list --installed | grep cuda-nvrtc-dev) ]]; then
apt-get remove --purge -y --allow-change-held-packages cuda-nvrtc-dev*
fi
CUBLAS_CUDA_VERSION=$(echo $CUDA_VER | sed 's/\./-/g')
apt-get install -y --no-install-recommends libcudnn9-cuda-12=${CUDNN_VER} libcudnn9-dev-cuda-12=${CUDNN_VER}
apt-get install -y --no-install-recommends libnccl2=${NCCL_VER} libnccl-dev=${NCCL_VER}
apt-get install -y --no-install-recommends libcublas-${CUBLAS_CUDA_VERSION}=${CUBLAS_VER} libcublas-dev-${CUBLAS_CUDA_VERSION}=${CUBLAS_VER}
# NVRTC static library doesn't exist in NGC PyTorch container.
NVRTC_CUDA_VERSION=$(echo $CUDA_VER | sed 's/\./-/g')
apt-get install -y --no-install-recommends cuda-nvrtc-dev-${NVRTC_CUDA_VERSION}=${NVRTC_VER}
apt-get clean
rm -rf /var/lib/apt/lists/*
}
install_centos_requirements() {
CUBLAS_CUDA_VERSION=$(echo $CUDA_VER | sed 's/\./-/g')
yum -y update
yum -y install epel-release
yum remove -y libnccl* && yum -y install libnccl-${NCCL_VER} libnccl-devel-${NCCL_VER}
yum remove -y libcublas* && yum -y install libcublas-${CUBLAS_CUDA_VERSION}-${CUBLAS_VER} libcublas-devel-${CUBLAS_CUDA_VERSION}-${CUBLAS_VER}
yum clean all
}
install_tensorrt() {
PY_VERSION=$(python3 -c 'import sys; print(".".join(map(str, sys.version_info[0:2])))')
PARSED_PY_VERSION=$(echo "${PY_VERSION//./}")
TRT_CUDA_VERSION="12.4"
if [ -z "$RELEASE_URL_TRT" ];then
ARCH=${TRT_TARGETARCH}
if [ -z "$ARCH" ];then ARCH=$(uname -m);fi
if [ "$ARCH" = "arm64" ];then ARCH="aarch64";fi
if [ "$ARCH" = "amd64" ];then ARCH="x86_64";fi
if [ "$ARCH" = "x86_64" ];then DIR_NAME="x64-agnostic"; else DIR_NAME=${ARCH};fi
if [ "$ARCH" = "aarch64" ];then OS1="Ubuntu22_04" && OS2="Ubuntu-22.04" && OS="ubuntu-22.04"; else OS1="Linux" && OS2="Linux" && OS="linux";fi
RELEASE_URL_TRT=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.1.0/tars/TensorRT-${TRT_VER}.${OS2}.${ARCH}-gnu.cuda-${TRT_CUDA_VERSION}.tar.gz
fi
wget --no-verbose ${RELEASE_URL_TRT} -O /tmp/TensorRT.tar
tar -xf /tmp/TensorRT.tar -C /usr/local/
mv /usr/local/TensorRT-${TRT_VER} /usr/local/tensorrt
pip3 install /usr/local/tensorrt/python/tensorrt-*-cp${PARSED_PY_VERSION}-*.whl
rm -rf /tmp/TensorRT.tar
}
# Install base packages depending on the base OS
ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
case "$ID" in
debian)
install_ubuntu_requirements
install_tensorrt
;;
ubuntu)
install_ubuntu_requirements
install_tensorrt
;;
centos)
install_centos_requirements
install_tensorrt
;;
*)
echo "Unable to determine OS..."
exit 1
;;
esac