Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Issues with TensorFlow and reverb compatibility in AlphaChip setup #71

Open
rheaj30 opened this issue Nov 25, 2024 · 0 comments
Open

Issues with TensorFlow and reverb compatibility in AlphaChip setup #71

rheaj30 opened this issue Nov 25, 2024 · 0 comments

Comments

@rheaj30
Copy link

rheaj30 commented Nov 25, 2024

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.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant