xc-llm-ascend

Author SHA1 Message Date

Author	SHA1	Message	Date
Mengqing Cao	2d885869c5	[KVCache][Bugfix] Fix kv cache initialization error of attention layer (#3113 ) ### What this PR does / why we need it? Fixes #3096 1. Fix kv cache initialization error of attention layer. There are some models with layer name like `attn.attn`, instead of `self_attn`, but the initialization of kv cache tensors only check for `self_attn` and `attn.attn`, which leding to the error `AssertionError: Some layers are not correctly initialized` 2. Set the default value of input arg `sampling_metadata` in `compute_logits` for the modeling files in vllm-ascend. Thus fixing the error `Qwen3NextForCausalLM.compute_logits() missing 1 required positional argument: 'sampling_metadata'` ### Does this PR introduce _any_ user-facing change? N/A ### How was this patch tested? test locally with internlm - vLLM version: v0.10.2 - vLLM main: `5aeb925452` --------- Signed-off-by: MengqingCao <cmq0113@163.com>	2025-09-24 11:32:34 +08:00
Li Wang	02f89d166f	[CI] Update vllm version to 20250922(5aeb925) (#3091 ) ### What this PR does / why we need it? This pr bump vllm commit hash to `5aeb925452` fix issues: 1. https://github.com/vllm-project/vllm/pull/25345 has remove v0 metadata 2. https://github.com/vllm-project/vllm/pull/25332 3. https://github.com/vllm-project/vllm/pull/25334 4. https://github.com/vllm-project/vllm/pull/23558, note that this vllm commit update the model register logic, which will check all the model registered have the `vllm.model_executor.models` path , which breaks our custom registration of the deepseek_v3 model (it doesn't exist in the vllm model path). so I move deepseek_v3 model registy to deepseek_v2 to solve temporary ### How was this patch tested? - vLLM version: v0.10.2 - vLLM main: `9607d5eb44` --------- Signed-off-by: wangli <wangli858794774@gmail.com>	2025-09-22 22:18:13 +08:00
Angazenn	e7409e95ee	[1/N][Draft][Refactor]torchair pangu_moe modeling refactor (#2437 ) ### What this PR does / why we need it? 1. Similar to #2384 , this PR add a torchair-specific modeling for pangu. 2. Fixes a bug introduced by routed_scaling_factor in #2675 . 3. remove eager test case for pangu since there has already been a torchair test case. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? - vLLM version: v0.10.1.1 - vLLM main: `6997a25ac6` --------- Signed-off-by: zengyanjia <z00883269@china.huawei.com> Signed-off-by: Angazenn <supperccell@163.com> Co-authored-by: zengyanjia <z00883269@china.huawei.com>	2025-09-04 10:39:21 +08:00

Mengqing Cao

2d885869c5

[KVCache][Bugfix] Fix kv cache initialization error of attention layer (#3113 )

### What this PR does / why we need it?
Fixes #3096 
1. Fix kv cache initialization error of attention layer. There are some
models with layer name like `attn.attn`, instead of `self_attn`, but the
initialization of kv cache tensors only check for `self_attn` and
`attn.attn`, which leding to the error `AssertionError: Some layers are
not correctly initialized`
2. Set the default value of input arg `sampling_metadata` in
`compute_logits` for the modeling files in vllm-ascend. Thus fixing the
error `Qwen3NextForCausalLM.compute_logits() missing 1 required
positional argument: 'sampling_metadata'`

### Does this PR introduce _any_ user-facing change?
N/A

### How was this patch tested?
test locally with internlm


- vLLM version: v0.10.2
- vLLM main:
5aeb925452

---------

Signed-off-by: MengqingCao <cmq0113@163.com>

2025-09-24 11:32:34 +08:00

Li Wang

02f89d166f

[CI] Update vllm version to 20250922(5aeb925) (#3091 )

### What this PR does / why we need it?
This pr bump vllm commit hash to
5aeb925452
fix issues:  
1. https://github.com/vllm-project/vllm/pull/25345 has remove v0
metadata
2. https://github.com/vllm-project/vllm/pull/25332
3. https://github.com/vllm-project/vllm/pull/25334
4. https://github.com/vllm-project/vllm/pull/23558, note that this vllm
commit update the model register logic, which will check all the model
registered have the `vllm.model_executor.models` path , which breaks our
custom registration of the deepseek_v3 model (it doesn't exist in the
vllm model path). so I move deepseek_v3 model registy to deepseek_v2 to
solve temporary

### How was this patch tested?

- vLLM version: v0.10.2
- vLLM main:
9607d5eb44

---------

Signed-off-by: wangli <wangli858794774@gmail.com>

2025-09-22 22:18:13 +08:00

Angazenn

e7409e95ee

[1/N][Draft][Refactor]torchair pangu_moe modeling refactor (#2437 )

### What this PR does / why we need it?

1. Similar to #2384 , this PR add a torchair-specific modeling for
pangu.
2. Fixes a bug introduced by routed_scaling_factor in #2675 .
3. remove eager test case for pangu since there has already been a
torchair test case.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?


- vLLM version: v0.10.1.1
- vLLM main:
6997a25ac6

---------

Signed-off-by: zengyanjia <z00883269@china.huawei.com>
Signed-off-by: Angazenn <supperccell@163.com>
Co-authored-by: zengyanjia <z00883269@china.huawei.com>

2025-09-04 10:39:21 +08:00

3 Commits