Issues with TensorFlow and reverb compatibility in AlphaChip setup

I've been attempting to set up AlphaChip for my project but encountered several errors related to TensorFlow and reverb compatibility. Here's a detailed summary of the issue:

Problem Overview:
Error Messages: Undefined symbols in libpybind.so and version mismatches between TensorFlow and reverb.

Environment: Python 3.10.10, TensorFlow 2.18.0, dm-reverb 0.10.0, CUDA 12.1, cuDNN 8.9.

Steps Taken:
Installed Dependencies:

TensorFlow 2.18.0

dm-reverb 0.10.0

Set environment variables for DREAMPlace and placement cost binary.

Checked CUDA and cuDNN Compatibility:

Confirmed CUDA 12.1 and cuDNN 8.9 are installed.

Ran scripts to check if TensorFlow recognizes the GPU.

Investigated Protobuf Version:

Checked Protobuf version to ensure compatibility with TensorFlow.

Created a Clean Environment:

Set up a new conda environment with Python 3.10.

Reinstalled TensorFlow and reverb in the new environment.

Despite these efforts, the issue persists. I would appreciate any guidance or insights into resolving these compatibility issues. If possible, please provide suggestions for troubleshooting or point me towards resources that could help.

No source files or tests are identified. Start by reproducing the AlphaChip setup with Python 3.10.10, TensorFlow 2.18.0, dm-reverb 0.10.0, CUDA 12.1, and cuDNN 8.9, then isolate the undefined-symbol and version-mismatch errors. Done means identifying compatible dependency versions or documenting a confirmed resolution.

Written by the indexing model from the issue text.