[Feat.]: support 310p w8a8 (#6454)

### What this PR does / why we need it?
Introduced 310P W8A8 Quantization Support: New modules and methods have
been added to enable W8A8 static quantization specifically for the
Ascend 310P platform.
Platform-Specific Quantization Configuration Loading: The system now
dynamically loads the appropriate quantization configurations
(AscendCompressedTensorsConfig, AscendModelSlimConfig) based on whether
the current hardware is an Ascend 310P device.
Implemented AscendW8A8LinearMethod310P: A dedicated linear quantization
method for 310P is provided, handling the specifics of weight and
activation quantization, including input parameter broadcasting and
weight data manipulation.
Extended AscendModelSlimConfig for 310P: A specialized configuration
class for 310P integrates the new W8A8 linear method for both standard
linear layers and vocabulary parallel embeddings, ensuring proper
quantization application.

- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

---------

Signed-off-by: Tflowers-0129 <2906339855@qq.com>
Signed-off-by: Shaoxu Cheng <2906339855@qq.com>

vllm_ascend/platform.py

@@ -150,7 +150,10 @@ class NPUPlatform(Platform):
                 if ASCEND_QUANTIZATION_METHOD not in quant_action.choices:
                     quant_action.choices.append(ASCEND_QUANTIZATION_METHOD)
 
-        from vllm_ascend.quantization import AscendCompressedTensorsConfig, AscendModelSlimConfig  # noqa: F401
+        if not is_310p():
+            from vllm_ascend.quantization import AscendCompressedTensorsConfig, AscendModelSlimConfig  # noqa: F401
+        else:
+            from vllm_ascend._310p.quantization import AscendModelSlimConfig310  # noqa: F401
 
         config_deprecated_logging()