PyTorch: cpp_extension.py:184: UserWarning: Error checking compiler version

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The warning message "cpp_extension.py:184: UserWarning: Error checking compiler version" in PyTorch's cpp_extension.py module indicates an issue while checking the version of the compiler.

This warning usually occurs during the compilation process of PyTorch's C++ extension modules. The cpp_extension.py module is responsible for compiling C++ code into dynamic libraries that can be used by PyTorch.

The warning itself does not necessarily indicate a problem with your code or the functionality of PyTorch. It's more of an informational message indicating that the compiler version check encountered an error.

To troubleshoot this warning, you can take the following steps:

  1. Check Compiler Installation: Ensure that the required compiler is installed on your system and properly configured. For PyTorch, you typically need a C++ compiler compatible with your operating system (e.g., Visual Studio on Windows, GCC on Linux).

  2. Verify Compiler Path: Make sure the compiler executable is in your system's PATH environment variable. This allows PyTorch to find and use the compiler during the compilation process.

  3. Compiler Compatibility: Ensure that the installed compiler version is compatible with the version of PyTorch you are using. Refer to the PyTorch documentation or release notes for the specific compiler version requirements.

  4. Upgrade PyTorch: If you are using an older version of PyTorch, consider upgrading to the latest version. Newer versions may have improvements and better error handling for the compiler version check.

Keep in mind that the warning itself might not affect the functionality of PyTorch unless it leads to an actual compilation error. If your code runs without any issues and produces the desired results, you can typically ignore this warning.

However, if the warning is causing problems during the compilation or preventing your code from executing correctly, you may need to investigate further or seek help from the PyTorch community or support channels for assistance with the specific issue.