Update flashinfer version to 0.6.0

[Fridge003]

Motivation

Waiting for release of Flashinfer 0.6.0

PRs dependent on this upgrade:

#13535 (#15414)
#15546
#15422
#15514
#15347
#14668
#16232
#16279
...

Modifications

Accuracy Tests

Benchmarking and Profiling

Checklist

• Format your code according to the Format code with pre-commit.
• Add unit tests according to the Run and add unit tests.
• Update documentation according to Write documentations.
• Provide accuracy and speed benchmark results according to Test the accuracy and Benchmark the speed.
• Follow the SGLang code style guidance.
• Work with maintainers to merge your PR. See the PR Merge Process

[gemini-code-assist]

Summary of Changes

Hello @Fridge003, 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 updates the FlashInfer library to version 0.6.0 across the project's configuration and dependency management files. This essential upgrade ensures that the project is aligned with the latest FlashInfer release, which is a prerequisite for several other pending pull requests and helps maintain compatibility and leverage new optimizations from the library.

Highlights

• FlashInfer Version Update: The FLASHINFER_VERSION argument in the Dockerfile has been updated from 0.5.3 to 0.6.0.
• Python Dependency Alignment: The flashinfer_python and flashinfer_cubin dependencies in pyproject.toml have been upgraded to version 0.6.0 to match the new FlashInfer release.
• Engine Version Assertion: The version assertion for flashinfer_python in engine.py has been updated to 0.6.0 to ensure compatibility checks are current.
• CI Script Update: The FLASHINFER_VERSION variable in the ci_install_dependency.sh script has been updated to 0.6.0.

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[Fridge003]

cc @DarkSharpness

[gemini-code-assist]

Code Review

This pull request updates the flashinfer dependency to version 0.6.0. The changes are consistent across the Dockerfile, Python project dependencies, runtime version assertions, and CI installation scripts. My review includes one suggestion to improve maintainability by centralizing the version number.