A hot-fix has been released for TensorFlow 2.15 to address an installation issue on Linux platforms. The problem arose due to the TensorFlow 2.15.0 Python package requesting unavailable tensorrt-related packages unless pre-installed or additional flags were provided, causing installation errors or downgrades to TensorFlow 2.14. The fix, TensorFlow 2.15.0.post1, removes these dependencies from the tensorflow[and-cuda] installation method, restoring the intended functionality while maintaining support for TensorRT if it is already installed. Users should specify version 2.15.0.post1 or use a fuzzy version specification to ensure they receive the correct version, as the standard version specification will not install the fixed release. This matters because it ensures seamless installation and functionality of TensorFlow 2.15 alongside NVIDIA CUDA, crucial for developers relying on these tools for machine learning projects.
