feat: support Qwen3-next on npu device.

[JC-ut0]

1. Support Qwen3-next on NPU device, add linear attention cache.
2. Add triton kernel api, which depends on the merging of feat: adapt for CANN 8.5 and PyTorch 2.7.1 for npu device. #891 .
3. Modified from feat: support qwen3-next on npu device. #945, to resolve merging conflicts and bugs.

[gemini-code-assist]

Code Review

This pull request introduces support for the 'Qwen next' model, involving extensive changes across the build system, environment setup, and core C++ components, including new layers, kernels, and model arguments. A critical security vulnerability has been identified where user-supplied data in RPC requests is validated using CHECK macros, creating a Denial of Service (DoS) attack vector by allowing malformed requests to crash worker processes. It is strongly recommended to replace these CHECK macros with proper error validation and return error statuses. Furthermore, a critical issue exists in the KV cache capacity estimation logic where variable names for key and value head dimensions are swapped, potentially leading to incorrect memory allocation and runtime failures.

[JC-ut0]

/gemini review

[gemini-code-assist]

Code Review

This pull request adds support for the "Qwen3-next" model on NPU devices. A high-severity Denial of Service (DoS) vulnerability has been identified in the RPC handlers of the "WorkerService", where "CHECK" macros used for input validation can cause the worker process to abort on invalid input, allowing remote attackers to crash the worker. Additionally, two critical bugs were found in the cache allocation logic: a typo in the "SSM" cache shape definition and a copy-paste error when handling cache shapes in the worker service. These issues need to be addressed to ensure both correctness and security, specifically by replacing "CHECK" macros with graceful error handling.

[JC-ut0]

/gemini review

[gemini-code-assist]

Code Review

This pull request introduces support for the Qwen3-next model on NPU devices, which includes adding a linear attention cache. The changes are extensive, involving new model layers, kernels, and updates to the build system and data structures. My review identified a critical compilation error related to incorrect pointer access and a couple of high-severity issues where function signatures could lead to unexpected side effects by modifying input tensors. I have provided code suggestions to address these problems.

[yingxudeng]

CI/CD jobs keep hanging then getting skipped. Re-triggering manually, hoping it runs clean this time.

[yq33victor]

LGTM