[310P]fused recurrent gated delta rule pytorch core and ut

[Tflowers-0129]

What this PR does / why we need it?

RFC #7394
Add a PyTorch implementation of the fused recurrent gated delta ruler on 310P.

Does this PR introduce any user-facing change?

NO

How was this patch tested?

UT

• vLLM version: v0.17.0
• vLLM main: vllm-project/vllm@4497431

[github-actions]

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[gemini-code-assist]

Summary of Changes

Hello, 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 introduces a crucial PyTorch fallback implementation for the fused_recurrent_gated_delta_rule operation, specifically targeting Ascend 310P hardware. This ensures that the operation can execute correctly even when the optimized Triton kernel is not available or suitable. Accompanying this implementation are new unit tests designed to rigorously verify its functional equivalence with the existing Triton kernel, thereby enhancing the robustness and reliability of the system on Ascend platforms.

Highlights

• PyTorch Fallback Implementation: A new PyTorch-based fallback for the fused_recurrent_gated_delta_rule operation has been introduced for Ascend 310P devices, ensuring functional correctness when the optimized Triton kernel is not used.
• Unit Testing: Comprehensive unit tests were added to validate the correctness of the new PyTorch fallback by comparing its output against the existing Triton kernel implementation.
• Ascend 910 Specific Testing: The new tests include a mechanism to skip execution if the environment is not an Ascend 910B/C device, ensuring relevant testing for the target hardware.

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[gemini-code-assist]

Code Review

This pull request introduces a PyTorch reference implementation for the fused_recurrent_gated_delta_rule and a corresponding unit test. The implementation is for Ascend 310P devices. My review has identified a critical bug in the state indexing logic that could lead to incorrect behavior when using ssm_state_indices. I have provided a detailed comment with a suggested fix. Additionally, I've recommended enhancing the unit tests to cover this complex part of the logic to prevent future regressions.

[github-actions]

This pull request has conflicts, please resolve those before we can evaluate the pull request.