[Feat] Unquantized linear nz support (#2619)

### What this PR does / why we need it?
Currently, when executing to the Linear layer of the model in
vLLM-Ascend, the weights input format is ND in unquantized case and
skipped ascend case, which is slower than FRACTAL_NZ.
This PR supplements the execution logic for Linear layer. When
VLLM_ASCEND_ENABLE_MLP_OPTIMIZE=1 and CANN version is 8.3, the weights
of the Linear layer will be converted to FRACTAL_NZ, in both unquantized
case and skipped ascend case.

- vLLM version: main
- vLLM main:
267c80d31f

Signed-off-by: anon189Ty <Stari_Falcon@outlook.com>

tests/ut/quantization/test_quant_config.py

@@ -4,10 +4,10 @@ import torch
 from vllm.attention.layer import Attention
 from vllm.model_executor.layers.fused_moe import FusedMoE
 from vllm.model_executor.layers.fused_moe.config import FusedMoEConfig
-from vllm.model_executor.layers.linear import (LinearBase,
-                                               UnquantizedLinearMethod)
+from vllm.model_executor.layers.linear import LinearBase
 
 from tests.ut.base import TestBase
+from vllm_ascend.ops.linear import AscendUnquantizedLinearMethod
 from vllm_ascend.quantization.quant_config import (AscendKVCacheMethod,
                                                    AscendQuantConfig)
 from vllm_ascend.utils import ASCEND_QUANTIZATION_METHOD
@@ -79,7 +79,7 @@ class TestAscendQuantConfig(TestBase):
                           'is_layer_skipped_ascend',
                           return_value=True):
             method = self.ascend_config.get_quant_method(linear_layer, ".attn")
-            self.assertIsInstance(method, UnquantizedLinearMethod)
+            self.assertIsInstance(method, AscendUnquantizedLinearMethod)
 
         # Test quantized layer
         with patch.object(self.ascend_config, 'is_layer_skipped_ascend', return_value=False), \