docker: upgrade apache-tvm-ffi==0.1.0b15 in docker container

[yzh119]

📌 Description

TVM-FFI made a new release with bugfix on potential memory leak:
apache/tvm-ffi#87
This PR bumps the apache-tvm-ffi version in docker container.

🔍 Related Issues

apache/tvm-ffi#87

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Reviewer Notes

[gemini-code-assist]

Summary of Changes

Hello @yzh119, 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 focuses on enhancing the stability of the Docker build environment by updating a critical dependency. The primary goal is to integrate a newer version of apache-tvm-ffi that includes an important bugfix for a potential memory leak, ensuring that the Docker containers benefit from the latest improvements and operate more reliably.

Highlights

• Dependency Upgrade: The apache-tvm-ffi package has been upgraded from version 0.1.0b11 to 0.1.0b15 within the Docker container build process.
• Memory Leak Fix: This upgrade incorporates a bugfix in apache-tvm-ffi that addresses a potential memory leak, improving the stability and efficiency of the Docker environment.

Ignored Files

• Ignored by pattern: .github/workflows/** (1)
  • .github/workflows/release-ci-docker.yml

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[gemini-code-assist]

Code Review

This pull request upgrades the apache-tvm-ffi package to version 0.1.0b15 in the Docker build script to incorporate a memory leak fix. The change is straightforward and correct. I've added a couple of suggestions to combine consecutive pip3 install commands within the script. This will improve efficiency by reducing the number of processes launched and also enhances the script's readability.

[gemini-code-assist]

For better efficiency and readability, you can combine these two pip3 install commands into a single one. This reduces the number of separate processes being invoked.

Suggested change

	pip3 install --upgrade cuda-python==13.0
	pip3 install "nvidia-cudnn-cu13>=9.12.0.46"
	pip3 install --upgrade cuda-python==13.0 "nvidia-cudnn-cu13>=9.12.0.46"

[gemini-code-assist]

Similar to the if branch, you can combine these two pip3 install commands into a single one for better efficiency and readability.

Suggested change

	pip3 install --upgrade cuda-python==12.*
	pip3 install "nvidia-cudnn-cu12>=9.11.0.98"
	pip3 install --upgrade cuda-python==12.* "nvidia-cudnn-cu12>=9.11.0.98"