[v0.11.0][refactor] refactor SequenceRowParallelOp forward (#3654)

### What this PR does / why we need it?
This PR refactors SequenceRowParallelOp forward. In order to further
expand the operator inclusion scope in dynamic judgment scenarios, this
PR customizes the entire matmul computation and communication as a
custom operator masking. With this refactor, it will support directly
writing code such as common operation fusion into the
SequenceRowParallelOp class's member function matmul_and_reduce, without
the need to register more redundant custom masking operators.

### How was this patch tested?
CI passed with new added/existing test.

Signed-off-by: rjg-lyh <1318825571@qq.com>

tests/ut/ops/test_linear.py

@@ -4,6 +4,7 @@ from unittest import mock
 from unittest.mock import MagicMock, patch
 
 import torch
+from vllm import config
 
 from tests.ut.base import TestBase
 from vllm_ascend import ascend_config
@@ -106,6 +107,9 @@ class TestAscendRowParallelLinear(BaseLinearTest):
         linear(input_tensor)
 
     def test_oproj_tp(self):
+
+        config._current_vllm_config = MagicMock()
+
         ascend_config._ASCEND_CONFIG = MagicMock()
         ascend_config._ASCEND_CONFIG.oproj_tensor_parallel_size = 2