[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>

vllm_ascend/ops/fused_moe/moe_mlp.py

@@ -22,7 +22,8 @@ from torch.nn.functional import pad
 from vllm.forward_context import get_forward_context
 
 from vllm_ascend.ascend_forward_context import MoECommType
-from vllm_ascend.utils import dispose_tensor, is_310p
+from vllm_ascend.utils import (AscendDeviceType, dispose_tensor,
+                               get_ascend_device_type)
 
 
 def cumsum_group_list(group_list: torch.Tensor,
@@ -210,7 +211,7 @@ def unquant_apply_mlp(hidden_states: torch.Tensor,
         group_type=0,
         group_list=group_list,
     )[0]
-    if is_310p():
+    if get_ascend_device_type() == AscendDeviceType._310P:
         gate_up_out = torch_npu.npu_swiglu(gate_up_out.to(torch.float32)).to(
             torch.float16)
     else: