Issues with unresolved externals from TensorFlow 2.4 C++ on Windows

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Unresolved externals occur when the linker cannot find the definitions for external symbols referenced in your code. If you are encountering unresolved externals when using TensorFlow 2.4 C++ on Windows, here are some steps you can take to address the issue:

  1. Verify Correct Configuration: Ensure that you have set up your project configuration correctly for building TensorFlow. Make sure you have included the necessary header files and linked against the TensorFlow library.

  2. Link Against TensorFlow Library: Ensure that you have linked against the TensorFlow library properly. Add the TensorFlow library path to your project's linker settings and specify the TensorFlow library file (e.g., tensorflow.lib) as an additional library dependency.

  3. Check Compiler Flags: Ensure that you have set the appropriate compiler flags for your project. TensorFlow requires specific compiler flags and settings for building C++ applications. Make sure you have followed the TensorFlow documentation and set the necessary flags, such as -D_GLIBCXX_USE_CXX11_ABI=0 or -D_GLIBCXX_USE_CXX11_ABI=1, depending on your TensorFlow version.

  4. Check Architecture and Configuration: Verify that your project's architecture and configuration (e.g., Debug or Release) match the TensorFlow library you are linking against. Make sure you are using the correct 32-bit or 64-bit version of the TensorFlow library that matches your project's configuration.

  5. Include Additional Dependencies: TensorFlow may have additional dependencies that need to be included in your project. Make sure you have included any required external libraries or header files as specified in the TensorFlow documentation.

  6. Resolve Library Conflicts: Check for potential conflicts with other libraries in your project. If you are using other libraries that have conflicting symbols or dependencies with TensorFlow, you may need to adjust the order of libraries or resolve the conflicts manually.

  7. Verify TensorFlow Version Compatibility: Ensure that the TensorFlow C++ library version you are using is compatible with your project. Incompatible versions may result in unresolved externals or other issues. Make sure you have downloaded the correct version of the TensorFlow library for your project.

  8. Rebuild TensorFlow Library: If none of the above steps resolve the issue, consider rebuilding the TensorFlow library from source to ensure compatibility with your project. Follow the TensorFlow documentation and build instructions to rebuild the library with the necessary configurations and settings.

By following these steps and ensuring proper configuration and linking, you should be able to resolve the unresolved externals when using TensorFlow 2.4 C++ on Windows.