[refact] unified soc_version code (#4359)
### What this PR does / why we need it?
Currently, there are two paths to judge the chip type in code,
`get_ascend_soc_version` use `get_soc_version` api in torch_npu, and
`is_310p` `use _build_info.__soc_version__`, which generate when
install. We need to unify the two paths.
We need to unify these codes based on the following points:
1. We need to ensure consistency in chip type judgment between compiling
and running states;
2. In compiling state, we need chip type to complete op's compilation,
but in running state, we only need device
type(910B/910_93/310P/910_95/etc) to make code branch judgement;
3. In compiling state, torch_npu may not have been installed yet, so we
can't use torch_npu's api.
Based on the above points, we have made the following changes:
1. When user set env `SOC_VERSION`, use it; when not set, query
soc_version by `npu-smi`;
2. generate device_type based on soc_version when compiling, and write
`__device_type__` instead of `__soc_version__` in `_build_info.py`;
3. In running state, use `__device_type__` to judge code branch.
### Does this PR introduce _any_ user-facing change?
When not set env `SOC_VERSION`, it will not be `ASCEND910B1` by default,
we will query soc_version by `npu-smi`. And env `SOC_VERSION` must be in
the list `soc_to_device` in `setup.py`.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
Signed-off-by: zzzzwwjj <1183291235@qq.com>
This commit is contained in:
@@ -92,7 +92,7 @@ def mock_distributed():
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with patch("vllm_ascend.ops.fused_moe.fused_moe.get_current_vllm_config", return_value=mock_vllm_config), \
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patch("vllm_ascend.ops.fused_moe.token_dispatcher.torch.distributed.get_rank", return_value=0), \
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patch("vllm_ascend.ops.fused_moe.token_dispatcher.get_ascend_soc_version", return_value=None), \
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patch("vllm_ascend.ops.fused_moe.token_dispatcher.get_ascend_device_type", return_value=None), \
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patch.dict("vllm.distributed.parallel_state.__dict__", _TP=tp_group, _EP=ep_group, _DP=dp_group,
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_PP=pp_group), \
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patch.dict("vllm_ascend.distributed.parallel_state.__dict__", _MC2=ep_group), \
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