[CI/Build] Upgrade CANN to 8.2.RC1.alpha003

[MengqingCao]

What this PR does / why we need it?

Upgrade CANN to 8.2.RC1.alpha003

Does this PR introduce any user-facing change?

Need to upgrade CANN to 8.2.RC1.alpha003

How was this patch tested?

CI passed with existing test.

• vLLM version: v0.9.1
• vLLM main: vllm-project/vllm@afb7cff

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 53.87%. Comparing base (c30ddb8) to head (41959b5).
Report is 89 commits behind head on main.

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #1653       +/-   ##
===========================================
+ Coverage   27.39%   53.87%   +26.47%     
===========================================
  Files          56       80       +24     
  Lines        6191     9964     +3773     
===========================================
+ Hits         1696     5368     +3672     
- Misses       4495     4596      +101     

Flag	Coverage Δ
unittests	53.87% <ø> (+26.47%)	⬆️

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[github-actions]

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

[Yikun]

Consdier the CANN alpha3 release bring many oom and internal error, we will not ugprade this

[1] https://github.com/vllm-project/vllm-ascend/actions/runs/16133440759/job/45525106786?pr=1653

RuntimeError: replay:build/CMakeFiles/torch_npu.dir/compiler_depend.ts:201 NPU function error: c10_npu::acl::AclmdlRIExecuteAsync(model_ri_, c10_npu::getCurrentNPUStream()), error code is 507000

[2] OOM as unexpected:
https://github.com/vllm-project/vllm-ascend/actions/runs/16133440759/job/45525106780?pr=1653

RuntimeError: NPU out of memory. Tried to allocate 98.00 MiB (NPU 0; 29.50 GiB total capacity; 1010.15 MiB already allocated; 1010.15 MiB current active; 39.48 MiB free; 1.02 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.