From 4e766ad4c2cee48992eb1bceb7d3c25004f64ee2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=A7=9C=E4=B8=9B=E9=A3=9E?= <jiangcongfei1@huawei.com>
Date: Mon, 30 Jun 2025 16:45:47 +0800
Subject: [PATCH] fix

---
 .../MatmulABshareInvocation/README.md          |  8 ++++----
 .../matmul_noABshare_custom.cpp                | 18 +++++++++---------
 2 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/README.md b/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/README.md
index 00e46ae4f..b71f05b3d 100644
--- a/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/README.md
+++ b/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/README.md
@@ -1,6 +1,6 @@
 ## 目录结构介绍
 ```
-├── MatmutABshareInvocation
+├── MatmulABshareInvocation
 │   ├── cmake                               // 编译工程文件
 │   ├── pictures
 │   │   ├── matmul_ABshare.png              // 算子ABshare的数据处理示意图
@@ -17,14 +17,14 @@
 │   └── run.sh                              // 编译运行算子的脚本
 ```
 ## 代码实现介绍
-本样例中实现的是[m, n, k]固定为[128, 256, 384]的MatmutlABshare算子和MatmulNoABshare算子。
+本样例中实现的是[m, n, k]固定为[128, 256, 384]的MatmulABshare算子和MatmulNoABshare算子。
 - kernel实现  
-  MatmutABshare算子的数学表达式为：
+  MatmulABshare算子的数学表达式为：
   ```
   C = A * B
   ```
   其中A的形状为[128, 384]，B的形状为[384, 256]，C的形状为[128, 256]。具体请参考[matmul_ABshare_custom.cpp](./matmul_ABshare_custom.cpp)。
-  MatmutNoABshare算子数学表达式与MatmutABshare一致，具体请参考[matmul_noABshare_custom.cpp](./matmul_noABshare_custom.cpp)。
+  MatmulNoABshare算子数学表达式与MatmulABshare一致，具体请参考[matmul_noABshare_custom.cpp](./matmul_noABshare_custom.cpp)。
 
   MatmulABshare算子代码数据处理说明图示(A矩阵和B矩阵不切分处理)：  
   ![alt text](./pictures/matmul_ABshare.png)  
diff --git a/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/matmul_noABshare_custom.cpp b/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/matmul_noABshare_custom.cpp
index aa216275f..b013efb58 100644
--- a/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/matmul_noABshare_custom.cpp
+++ b/operator/ascendc/2_features/13_matmul_api_ibshare/MatmulABshareInvocation/matmul_noABshare_custom.cpp
@@ -23,9 +23,9 @@ __aicore__ inline void CopyTiling(TCubeTiling *tiling, GM_ADDR tilingGM) // copy
     return;
 }
 
-template <typename aType, typename bType, typename cType> class MatmutNoABshareKernel {
+template <typename aType, typename bType, typename cType> class MatmulNoABshareKernel {
 public:
-    __aicore__ inline MatmutNoABshareKernel(){};
+    __aicore__ inline MatmulNoABshareKernel(){};
     __aicore__ inline void Init(GM_ADDR a, GM_ADDR b, GM_ADDR c, GM_ADDR workspace,
                                 const TCubeTiling &tiling, AscendC::TPipe *pipe);
     __aicore__ inline void Process(AscendC::TPipe *pipe);
@@ -44,7 +44,7 @@ public:
 };
 
 template <typename aType, typename bType, typename cType>
-__aicore__ inline void MatmutNoABshareKernel<aType, bType, cType>::Init(GM_ADDR a, GM_ADDR b, GM_ADDR c, 
+__aicore__ inline void MatmulNoABshareKernel<aType, bType, cType>::Init(GM_ADDR a, GM_ADDR b, GM_ADDR c, 
                                                                 GM_ADDR workspace,const TCubeTiling &tiling, AscendC::TPipe *pipe)
 {
     this->tiling = tiling;
@@ -60,7 +60,7 @@ __aicore__ inline void MatmutNoABshareKernel<aType, bType, cType>::Init(GM_ADDR
 }
 
 template <typename aType, typename bType, typename cType>
-__aicore__ inline void MatmutNoABshareKernel<aType, bType, cType>::Process(AscendC::TPipe *pipe)
+__aicore__ inline void MatmulNoABshareKernel<aType, bType, cType>::Process(AscendC::TPipe *pipe)
 {
     AscendC::InitOutput<float> (cGlobal, tiling.M * tiling.N, 0); // init output zero
     SyncAll();
@@ -74,7 +74,7 @@ __aicore__ inline void MatmutNoABshareKernel<aType, bType, cType>::Process(Ascen
 
 template <typename aType, typename bType, typename cType>
 __aicore__ inline void
-MatmutNoABshareKernel<aType, bType, cType>::CalcOffset(int32_t blockIdx, const TCubeTiling &tiling,
+MatmulNoABshareKernel<aType, bType, cType>::CalcOffset(int32_t blockIdx, const TCubeTiling &tiling,
                                                              int32_t &offsetA, int32_t &offsetB, int32_t &offsetC)
 {
     if (blockIdx ==0)
@@ -95,8 +95,8 @@ extern "C" __global__ __aicore__ void matmul_noABshare_custom(GM_ADDR a, GM_ADDR
     TCubeTiling tiling;
     CopyTiling(&tiling, tilingGm);
 
-    MatmutNoABshareKernel<half, half, float> MatmutNoABshareKernel;
-    MatmutNoABshareKernel.Init(a, b, c, workspace, tiling, &pipe);
-    REGIST_MATMUL_OBJ(&pipe, GetSysWorkSpacePtr(), MatmutNoABshareKernel.matmulObj, &MatmutNoABshareKernel.tiling);
-    MatmutNoABshareKernel.Process(&pipe);
+    MatmulNoABshareKernel<half, half, float> MatmulNoABshareKernel;
+    MatmulNoABshareKernel.Init(a, b, c, workspace, tiling, &pipe);
+    REGIST_MATMUL_OBJ(&pipe, GetSysWorkSpacePtr(), MatmulNoABshareKernel.matmulObj, &MatmulNoABshareKernel.tiling);
+    MatmulNoABshareKernel.Process(&pipe);
 }
\ No newline at end of file
-- 
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