Revert "[Feat] Unquantized linear nz support (#2619)" (#2896)

### What this PR does / why we need it?
This reverts commit 7b2ecc1e9a.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
CI passed

- vLLM version: main
- vLLM main:
64d90c3e4f

Closes: https://github.com/vllm-project/vllm-ascend/issues/2890
Closes: https://github.com/vllm-project/vllm-ascend/issues/2887
Closes: https://github.com/vllm-project/vllm-ascend/issues/2885

Signed-off-by: Yikun Jiang <yikunkero@gmail.com>

vllm_ascend/quantization/quant_config.py

@@ -23,7 +23,8 @@ from vllm.distributed import get_tensor_model_parallel_rank
 from vllm.model_executor.layers.fused_moe import (FusedMoE, FusedMoEMethodBase,
                                                   FusedMoeWeightScaleSupported)
 from vllm.model_executor.layers.linear import (LinearBase, LinearMethodBase,
-                                               RowParallelLinear)
+                                               RowParallelLinear,
+                                               UnquantizedLinearMethod)
 from vllm.model_executor.layers.quantization import \
     register_quantization_config
 from vllm.model_executor.layers.quantization.base_config import (
@@ -37,7 +38,6 @@ from vllm.model_executor.utils import set_weight_attrs
 from vllm_ascend.distributed.parallel_state import (get_mlp_tp_group,
                                                     get_otp_group)
 from vllm_ascend.ops.fused_moe import AscendUnquantizedFusedMoEMethod
-from vllm_ascend.ops.linear import AscendUnquantizedLinearMethod
 from vllm_ascend.utils import (ASCEND_QUANTIZATION_METHOD, mlp_tp_enable,
                                oproj_tp_enable)
 
@@ -95,7 +95,7 @@ class AscendQuantConfig(QuantizationConfig):
         if isinstance(layer, LinearBase):
             if self.is_layer_skipped_ascend(prefix,
                                             self.packed_modules_mapping):
-                return AscendUnquantizedLinearMethod()
+                return UnquantizedLinearMethod()
             return AscendLinearMethod(self, prefix,
                                       self.packed_modules_mapping)
         elif isinstance(layer, Attention) and \