[AMD] change fused rms quant interface for aiter upgrade

[yctseng0211]

Motivation

The interface of fused_rms_mxfp4_quant should be changed once aiter upgraded

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 @yctseng0211, 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 primarily focuses on adapting the codebase to an upgraded version of AITemplate. It updates the AITemplate commit reference in the Docker build configuration and adjusts the interface of the "fused_rms_mxfp4_quant" function within the DeepSeek-V2 model's implementation to maintain compatibility with the new AITemplate version.

Highlights

• AITemplate Version Upgrade: The AITemplate commit version referenced in the Dockerfile has been updated from "v0.1.7.post2" to "v0.1.7.post4" to align with newer AITemplate developments.
• Fused RMS Interface Adjustment: The call to the "fused_rms_mxfp4_quant" function in the DeepSeek-V2 model's implementation was modified to accommodate a change in its return signature, specifically by adding an underscore "_" to capture an additional, now unused, return value.

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[gemini-code-assist]

Code Review

This pull request updates the aiter dependency to v0.1.7.post4 and adapts the code to a change in the fused_rms_mxfp4_quant function's interface. The modification in python/sglang/srt/models/deepseek_v2.py correctly adjusts the tuple unpacking to accommodate the new return signature. The changes are consistent and look correct.