Ubuntu 16.0下导入Snorkel的GenerativeModel时出现Illegal instruction (core dumped)报错求助

Hey there, let's work through that frustrating Illegal instruction (core dumped) error you're seeing when trying to import GenerativeModel from Snorkel on Ubuntu 16.04. This issue almost always ties to incompatible CPU instruction sets or outdated package versions that don't play nice with your older system. Here are practical steps to resolve it:

1. Verify CPU Instruction Set Compatibility #

This error often pops up when a pre-compiled package (like Snorkel or its dependencies) uses advanced CPU instructions (e.g., AVX2, FMA) that your processor doesn't support.

• First, check what instructions your CPU supports:

  cat /proc/cpuinfo | grep flags
  

• Look for flags like avx2 or fma—if they're missing, you'll need to install packages compiled for older CPUs. For example, downgrade NumPy to a version that doesn't require these instructions:

  pip install numpy==1.16.6 --no-binary :all:
  

  The --no-binary :all: flag forces a source compile tailored to your CPU.

2. Downgrade Snorkel to a Ubuntu 16.04-Compatible Version #

Newer Snorkel versions drop support for older operating systems like Ubuntu 16.04. Try installing a legacy version that's known to work:

pip uninstall -y snorkel
pip install snorkel==0.9.6

Version 0.9.6 is a reliable choice for older systems, as it doesn't rely on the latest CPU instruction sets or system libraries.

3. Compile Snorkel From Source #

If pre-built packages still cause issues, compiling from source ensures the code is optimized for your specific hardware:

• Uninstall any existing Snorkel installation:

  pip uninstall -y snorkel
  

• Clone the Snorkel repository and switch to the compatible 0.9.6 branch:

  git clone https://github.com/snorkel-team/snorkel.git
  cd snorkel
  git checkout 0.9.6
  

• Install required dependencies:

  pip install -r requirements.txt
  

• Compile and install Snorkel:

  python setup.py install
  

4. Update System Compilers #

Ubuntu 16.04 ships with older GCC versions, which can cause compatibility issues during compilation. Update to a newer (but still compatible) GCC version:

sudo apt-get update
sudo apt-get install gcc-5 g++-5
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 50 --slave /usr/bin/g++ g++ /usr/bin/g++-5

This ensures your system uses a compiler that can handle the source code without generating unsupported instructions.

Give these steps a try—start with downgrading Snorkel and NumPy first, as those are the quickest fixes. If those don't work, compiling from source should resolve the instruction set mismatch.

内容的提问来源于stack exchange，提问作者Ly Harriet Bui