[CI] Update system cuda version 12.4->12.8

[mshr-h]

Fix cudnn errors due to version mismatch between system and torch dependency

link to the jenkins log: https://ci.tlcpack.ai/blue/organizations/jenkins/tvm-gpu/detail/PR-18775/11/pipeline

tests/python/relax/test_codegen_cudnn.py::test_conv2d_offload[data_shape1-weight_shape1-float32-True-none] Could not load symbol cudnnGetLibConfig. Error: /usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9: undefined symbol: cudnnGetLibConfig

validated the fix with the following local ci script

python3 tests/scripts/ci.py gpu -d tvm.ci_gpu --tests tests/python/relax/test_codegen_cudnn.py::test_conv2d_offload

[gemini-code-assist]

Summary of Changes

Hello @mshr-h, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request resolves critical cudnnGetLibConfig errors observed in the continuous integration pipeline by upgrading the CUDA base image used for GPU testing. The change ensures that the CI environment has a compatible cuDNN version, thereby stabilizing the test suite and preventing failures related to library mismatches.

Highlights

• CUDA Version Update: The CUDA base image in the CI GPU Dockerfile has been updated from 12.4.1 to 12.8.1.
• CUDNN Error Resolution: This update specifically addresses cudnnGetLibConfig errors encountered in CI, which were due to a version mismatch between cuDNN and the CUDA environment.

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Changelog

• docker/Dockerfile.ci_gpu
  • Updated the FROM instruction to use nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04.

Activity

• The author identified a cudnnGetLibConfig error in Jenkins logs (link provided).
• The fix was validated locally using a specific CI script targeting test_codegen_cudnn.py::test_conv2d_offload.

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Code Review

This pull request correctly updates the CUDA version in the ci_gpu Docker image to fix a cuDNN version mismatch. My review focuses on the potential side effects of this version bump on other dependencies within the image. I've added a comment highlighting the need to update other libraries like JAX and PyTorch which appear to be pinned to older CUDA versions to ensure the overall stability and consistency of the CI environment.