【源码编译错误】nvcc error : 'cudafe++' died due to signal 9 (Kill signal) #4136
Description
环境：
| 类别 | 具体配置 |
|---|---|
| 操作系统 | Ubuntu 24.04 |
| Python | 3.12 |
| CUDA | 12.6 |
| GPU | RTX 4090（24GB 显存，1 张） |
| CPU | 16 vCPU，Intel(R) Xeon(R) Platinum 8352V @ 2.10GHz |
| 内存 | 64GB |
问题描述
我在linux中源码编译gpu版的fastdeploy，遇到如下错误：
[2025-09-16 19:22:33,441] [ INFO] spawn.py:38 - /usr/local/cuda/bin/nvcc -I/root/miniconda3/lib/python3.12/site-packages/paddle/include -I/root/miniconda3/lib/python3.12/site-packages/paddle/include/third_party -I/root/miniconda3/lib/python3.12/site-packages/paddle/include/paddle/phi/api/include/compat -I/root/miniconda3/lib/python3.12/site-packages/paddle/include/paddle/phi/api/include/compat/torch/csrc/api/include -I/usr/local/cuda/include -I/root/miniconda3/include/python3.12 -I/root/miniconda3/include/python3.12 -c /root/workspace/FastDeploy/custom_ops/gpu_ops/cutlass_kernels/fp8_gemm_fused/autogen/launch_gemm_kernel_block128x128x64_warp128x32x64_mma16x8x32_stage7.cu -o /root/workspace/FastDeploy/custom_ops/build/fastdeploy_ops/lib.linux-x86_64-cpython-312/launch_gemm_kernel_block128x128x64_warp128x32x64_mma16x8x32_stage7.cu.o -DPADDLE_WITH_CUDA -DEIGEN_USE_GPU -ccbin cc -Xcompiler -fPIC --expt-relaxed-constexpr -DNVCC -gencode arch=compute_89,code=sm_89 -gencode arch=compute_86,code=sm_86 -DPADDLE_DEV -DPADDLE_ON_INFERENCE -DPy_LIMITED_API=0x03090000 -Igpu_ops/cutlass_kernels -Ithird_party/cutlass/include -Ithird_party/cutlass/tools/util/include -Igpu_ops/fp8_gemm_with_cutlass -Igpu_ops -Ithird_party/nlohmann_json/include -DENABLE_SCALED_MM_C2X=1 -Igpu_ops/cutlass_kernels/w8a8 -DENABLE_BF16 -Igpu_ops/moe -DENABLE_FP8 -Igpu_ops/cutlass_kernels/fp8_gemm_fused/autogen -w -DPADDLE_WITH_CUSTOM_KERNEL -DPADDLE_EXTENSION_NAME=fastdeploy_ops -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++17
nvcc error : 'cudafe++' died due to signal 9 (Kill signal)
我的指令如下：
python3 -m pip install paddlepaddle-gpu==3.2.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu126/
build.sh 1 python false "[86,89]"
我想请问一下是否是内存不足的问题？如果是的话，应该如何设置呢？
一些尝试
- 安装ccache无用
- 按如下设置也无用
export MAX_JOBS=1
export OMP_NUM_THREADS=1