[Kernel] Add moe normal ops (#4810)

### What this PR does / why we need it?
1.Add the implementation of normal Aclnn operators: MoeCombineNormal,
MoeDispatchNormal, NotifyDispatch，and DispatchLayout.

- MoeCombineNormal: Implements the combine logic within MoE operations.
- MoeDispatchNormal: Implements the dispatch logic within MoE
operations.
- NotifyDispatch: Exchanges topk_idx information among different ranks
to calculate the device memory required for the dispatch stage.
- DispatchLayout: Used to calculate information related to the device
memory layout for the dispatch stage.

2.Provide PyTorch interfaces for normal operators—get_dispatch_layout,
dispatch_prefill, and combine_prefill—to be used for MoE communication
during the prefill stage in vLLM.

- get_dispatch_layout: Calculates information related to the device
memory layout for the dispatch operator, and is called before
dispatch_prefill.
- dispatch_prefill: Initiates the dispatch operation.
- combine_prefill: Initiates the combine operation.

### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
The functionality has already been validated using the local Qwen model.
Test cases will be added after support for multi-NPU use cases in the CI
pipeline is finalized.

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: shiro-zzzz <zhangdianhao@huawei.com>

csrc/dispatch_layout/op_kernel/dispatch_layout.cpp

@@ -0,0 +1,17 @@
+#include "kernel_operator.h"
+#include "dispatch_layout.h"
+#include "dispatch_layout_tiling.h"
+
+
+extern "C" __global__ __aicore__ void dispatch_layout(GM_ADDR topkIdx, GM_ADDR numTokensPerRank, GM_ADDR numTokensPerExpert, 
+                                                      GM_ADDR isTokenInRank, GM_ADDR workspace, GM_ADDR tiling)
+{
+    REGISTER_TILING_DEFAULT(DispatchLayoutTilingData);
+    GET_TILING_DATA_WITH_STRUCT(DispatchLayoutTilingData, tilingData, tiling);
+
+    TPipe pipe;
+
+    DispatchLayout<int32_t> op;
+    op.Init(topkIdx, numTokensPerRank, numTokensPerExpert, isTokenInRank, workspace, &pipe, &tilingData);
+    op.Process();
+}