xc-llm-ascend

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zhanghw0354 eaeb2efb20 [Main][Feat]Set the Profiler parameters through environment variables consistent with vLLM (#2608 )

### What this PR does / why we need it?
Currently, when performing profiling in vLLM-Ascend, if you need to
obtain the Python call stack, you have to manually modify the code. The
code location is:
[worker_v1.py#L337](6c973361fc/vllm_ascend/worker/worker_v1.py (L337))
where you set with_stack to true.
Now, in vLLM, you can set whether to obtain the Python call stack
through an environment variable. The relevant PR is:
[#21803](https://github.com/vllm-project/vllm/pull/21803) and the
documentation is:
[profiling](https://docs.vllm.ai/en/latest/contributing/profiling.html?h=vllm_torch_profiler_with_stack#profile-with-pytorch-profiler)
This PR sets the profiler initialization parameters by using the same
environment variable as vLLM, eliminating the need for manual code
modification.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
CI passed with new added/existing test.

- vLLM version: v0.10.1.1
- vLLM main:
0235103cbb

---------

Signed-off-by: zhanghaiwen <zhanghaiwen@cmss.chinamobile.com>
Co-authored-by: zhanghaiwen <zhanghaiwen@cmss.chinamobile.com>

2025-09-03 10:58:08 +08:00

attention

Add ut for mla (#2637 )

2025-09-01 14:07:57 +08:00

core

[CI] fix UT error. (#2644 )

2025-08-30 12:04:01 +08:00

device_allocator

add ut for device allocator/camem and mutistream/layers (#2037 )

2025-07-31 19:17:27 +08:00

distributed

[Feat]: Add custom lmhead tensor model parallel (#2309 )