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wangxiyuanzzzzwwjjlinfeng-yuanwxsIceyMengqingCao
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Add DeepSeek V3.2 support (#3270)
### What this PR does / why we need it? This PR added the initial DeepSeek V3.2 support with [vLLM v0.11.0](https://github.com/vllm-project/vllm/tree/releases/v0.11.0) (not released yet). We will complete vLLM adaptation as soon as possible. This feature will be ready in recent 1-2 days. Related doc: #3223 . ### Does this PR introduce _any_ user-facing change? Yes! ### How was this patch tested? CI passed and Run deepseek doc soon. - vLLM version: v0.11.0rc3 - vLLM main: vllm-project/vllm@releases/v0.11.0 --------- Signed-off-by: wangxiyuan <[email protected]> Signed-off-by: zzzzwwjj <[email protected]> Signed-off-by: linfeng-yuan <[email protected]> Signed-off-by: wxsIcey <[email protected]> Signed-off-by: MengqingCao <[email protected]> Co-authored-by: zzzzwwjj <[email protected]> Co-authored-by: linfeng-yuan <[email protected]> Co-authored-by: wxsIcey <[email protected]> Co-authored-by: MengqingCao <[email protected]>
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.github/workflows/vllm_ascend_test.yaml

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@@ -121,7 +121,14 @@ jobs:
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export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/x86_64-linux/devlib
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pytest -sv --cov --cov-report=xml:unittests-coverage.xml tests/ut \
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--ignore=tests/ut/test_platform.py \
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--ignore=tests/ut/patch/worker/patch_common/test_patch_minicpm.py
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--ignore=tests/ut/patch/worker/patch_common/test_patch_minicpm.py \
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--ignore=tests/ut/core/test_scheduler.py \
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--ignore=tests/ut/kv_connector/test_llmdatadist_connector.py \
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--ignore=tests/ut/kv_connector/test_mooncake_connector.py \
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--ignore=tests/ut/kv_connector/test_remote_decode_lifecycle.py \
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--ignore=tests/ut/kv_connector/test_remote_prefill_lifecycle.py \
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--ignore=tests/ut/torchair/models/test_torchair_deepseek_v2.py \
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--ignore=tests/ut/torchair/test_utils.py
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- name: Upload coverage to Codecov
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# only upload coverage when commits merged

vllm_ascend/__init__.py

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@@ -23,5 +23,7 @@ def register():
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def register_model():
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import vllm_ascend.patch.worker.patch_common.patch_attention_selector # noqa
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from .models import register_model
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register_model()

vllm_ascend/ascend_config.py

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def __init__(self, vllm_config):
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additional_config = vllm_config.additional_config if vllm_config.additional_config is not None else {}
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self.is_deepseek_sfa = vllm_config.model_config is not None and vllm_config.model_config.is_deepseek_mla and vllm_config.model_config.hf_text_config.model_type == "deepseek_v32"
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self.use_sfa = self.is_deepseek_sfa
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torchair_graph_config = additional_config.get("torchair_graph_config",
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{})

vllm_ascend/attention/attention_mask.py

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device: torch.device):
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self._update_attn_cache(max_seq_len, dtype)
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return self.attn_mask_cache[:max_seq_len, :max_seq_len].contiguous(
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).to(device)
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).to(device, non_blocking=True)
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def get_splitfuse_attn_mask(
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self,

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