Refactor the ops PyTorch adapter，cleanup for csrc/torch_binding.cpp (#6732)

### What this PR does / why we need it?
Refactor the ops PyTorch adapter，cleanup for csrc/torch_binding.cpp,
more details see
https://github.com/vllm-project/vllm-ascend/issues/6486

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

### How was this patch tested?
install the new package to test the new modification, here is the
result:


- vLLM version: v0.15.0
- vLLM main:
9562912cea

---------

Signed-off-by: liziyu <liziyu16@huawei.com>
Signed-off-by: wangxiaoteng <wangxiaoteng@huawei.com>
Signed-off-by: luomin2005 <luomin2005@huawei.com>
Co-authored-by: liziyu <56102866+liziyu179@users.noreply.github.com>
Co-authored-by: wangxiaoteng <wangxiaoteng@huawei.com>

csrc/matmul_allreduce_add_rmsnorm/matmul_allreduce_add_rmsnorm_torch_adpt.h

@@ -0,0 +1,51 @@
+/*
+ * Copyright (c) Huawei Technologies Co., Ltd. 2026. All rights reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#ifndef MATMUL_ALLREDUCE_ADD_RMSNORM_TORCH_ADPT_H
+#define MATMUL_ALLREDUCE_ADD_RMSNORM_TORCH_ADPT_H
+namespace vllm_ascend {
+
+std::tuple<at::Tensor, at::Tensor> matmul_allreduce_add_rmsnorm(
+    const at::Tensor &x1,
+    const at::Tensor &x2,
+    const at::Tensor &residual,
+    const at::Tensor &gamma,
+    c10::string_view group_tp,
+    int64_t tp_rank_size,
+    int64_t tp_rank_id,
+    double epsilon,
+    bool is_trans_b,
+    bool is_gather_add_out)
+    {
+        at::Tensor output = at::empty_like(residual);
+        at::Tensor add_out = at::empty_like(residual);
+
+        std::string group_tp_str(group_tp);
+
+        char *group_tp_ptr = group_tp_str.data();
+
+        float epsilon_f = static_cast<float>(epsilon);
+        EXEC_NPU_CMD(aclnnMatmulAllreduceAddRmsnorm,
+            // input
+            x1, x2, residual, gamma,
+            // attr
+            group_tp_ptr, tp_rank_size, tp_rank_id, epsilon_f, is_trans_b, is_gather_add_out,
+            // output
+            output, add_out);
+
+        return {output, add_out};
+    }
+}
+#endif