import paddle 报错：Illegal instruction (core dumped)

[YiningWang2]

bug描述 Describe the Bug

安装paddlepaddle-gpu 0.0.0 后import paddle报错：

W0602 18:23:16.900280 715329 tensorrt.cc:56] You are using Paddle compiled with TensorRT, but TensorRT dynamic library is not found. Ignore this if TensorRT is not needed.
The TensorRT that Paddle depends on is not configured correctly.
  Suggestions:
  1. Check if the TensorRT is installed correctly and its version is matched with paddlepaddle you installed.
  2. Configure environment variables as follows:
  - Linux: set LD_LIBRARY_PATH by `export LD_LIBRARY_PATH=...`
  - Windows: set PATH by `set PATH=XXX;%PATH%`
  - Mac: set  DYLD_LIBRARY_PATH by `export DYLD_LIBRARY_PATH=...`
Illegal instruction (core dumped)

---

Detailed info: System：Ubuntu 20.04.1 LTS cuda version：CUDA11.0 python：3.7 DGX_PLATFORM：DGX Server for DGX A100 系统支持avx、avx2指令集

---

paddlepaddle安装指令： python -m pip install paddlepaddle-gpu==0.0.0.post110 -f https://www.paddlepaddle.org.cn/whl/linux/gpu/develop.html

其他补充信息 Additional Supplementary Information

No response

[YiningWang2]

已经试过类似issue的解决方案，import numpy正常，求助大家～

[horacehht]

同 paddle：2.4.0 System：Ubuntu 20.04.1 LTS cuda version：CUDA11.7 python：3.7 显卡：4070ti

import paddle后直接Illegal instruction (core dumped)

[chaudt]

Please support error: Illegal instruction (core dumped) when install package paddle (pip install paddlepaddle)

[Pravesh22]

I think this solution might work, Usually paddle default library is supported on AVX machine only. So, please check whether your machine has AVX extension or not. You can check whether your machine/server is AVX machine or not by using command cat /proc/cpuinfo | grep -i avx and if it gives some output then your machine has AVX otherwise and its not issue of paddle library. Otherwise change NOAVX machine to AVX machine or download NOAVX version of paddle library from this link:

[winterpi]

Could you please share the link ? I use the link follow this page: https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/install/pip/linux-pip.html

cpu、mkl 版本 noavx 机器安装： python3 -m pip download paddlepaddle==2.4.2 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/noavx/stable.html --no-index --no-deps

cpu、openblas 版本 noavx 机器安装： python3 -m pip download paddlepaddle==2.4.2 -f https://www.paddlepaddle.org.cn/whl/linux/openblas/noavx/stable.html --no-index --no-deps

gpu 版本 cuda10.2 noavx 机器安装： python3 -m pip download paddlepaddle-gpu==2.4.2 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/noavx/stable.html --no-index --no-deps

Unfortunately, I got this error:(

ERROR: Could not find a version that satisfies the requirement paddlepaddle==2.4.2 (from versions: none) ERROR: No matching distribution found for paddlepaddle==2.4.2

[niudakok]

paddle：2.6.0 System：Ubuntu 20.04.1 LTS 子系统 cuda version：CUDA12.4 python：3.12.1 显卡：2080ti cpu: Intel(R) Xeon(R) CPU E5-2680 v2

系统信息：

(.conda) (base) root@k_win:~/project# uname -m && cat /etc/*release
x86_64
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=20.04
DISTRIB_CODENAME=focal
DISTRIB_DESCRIPTION="Ubuntu 20.04.6 LTS"
NAME="Ubuntu"
VERSION="20.04.6 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.6 LTS"
VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=focal
UBUNTU_CODENAME=focal
(.conda) (base) root@k_win:~/project# 

安装命令：

python3 -m pip install paddlepaddle-gpu==2.6.0.post120 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html

安装完成后import 报错:

(.conda) (base) root@k_win:~/project# python
Python 3.12.1 | packaged by Anaconda, Inc. | (main, Jan 19 2024, 15:51:05) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
Illegal instruction
(.conda) (base) root@k_win:~/project# 

检查 CPU 是否支持 AVX 指令集：

(.conda) (base) root@k_win:~/project# grep avx /proc/cpuinfo
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology cpuid pni pclmulqdq vmx ssse3 cx16 pcid sse4_1 sse4_2 popcnt aes xsave avx f16c rdrand hypervisor lahf_lm pti ssbd ibrs ibpb stibp tpr_shadow vnmi ept vpid ept_ad fsgsbase smep erms xsaveopt flush_l1d arch_capabilities
......
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology cpuid pni pclmulqdq vmx ssse3 cx16 pcid sse4_1 sse4_2 popcnt aes xsave avx f16c rdrand hypervisor lahf_lm pti ssbd ibrs ibpb stibp tpr_shadow vnmi ept vpid ept_ad fsgsbase smep erms xsaveopt flush_l1d arch_capabilities
(.conda) (base) root@k_win:~/project#