Building TensorRT-OSS on SLES 15 & make error 2

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

Description

Following GitHub - NVIDIA/TensorRT: NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. (Building TensorRT-OSS) on SLES 15. Getting errors about
CUDA_ARCHITECTURES is empty for target “nvinfer_plugin” during cmake.

Is that something I need to address? If so, what should I do? tried -DCUDA_ARCHITECTURES but didn’t work.

Environment

TensorRT Version: 10.0.1
GPU Type: A2
Nvidia Driver Version:
CUDA Version: 12.2.0
CUDNN Version: 8.9
Operating System + Version: 5.14.21-150500.55.7-default
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag): Baremetal

Steps To Reproduce

Following GitHub - NVIDIA/TensorRT: NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. (Building TensorRT-OSS).
Example: Linux (x86-64) build with default cuda-12.5*

 cd $TRT_OSSPATH mkdir -p build && cd build 
 cmake .. -DTRT_LIB_DIR=$TRT_LIBPATH -DTRT_OUT_DIR=`pwd`/out

Getting CMake Warnings like this:
Policy CMP0104 is not set: CMAKE_CUDA_ARCHITECUTRES now detected for NVCC, empty CUDA_ARCHITECUTRES now allows…

   CUDA_ARCHITECTURES is empty for target "nvinfer_plugin".
2

After using -Wno-dev and -DGPU_ARCHS, I was able to reach the make step.

I am getting errors like this:

make[1]: *** [CMakeFiles/Makefile2:1223: plugin/CMakFiles/nvifer_plugin_static.dir/all] Error 2
make[1]: *** [CMakeFiles/Makefile2:1249: plugin/CMakeFiles/nvinfer_plugin.dir/all] Error 2
make: *** [Makefile:156: all] Error 2

Any suggestion to fix them?