add example_reduce.png

docs/guides/11_kernel_primitives_api/reduce_example_cn.md

@@ -25,7 +25,9 @@ struct AddFunctor {
 ```
 ### kernel 实现说明
 
-对最高维进行规约操作，将不需要进行规约的维度进行合并，将 blockIdx.x 映射到不需要进行规约的维度，保证访问存储效率最大。线程间数据没有依赖，只需要进行线程内规约操作。当num < blockDim.x时需要将 IsBounary 设置为 true，表明需要进行访存边界判断，避免访问存储越界。
+对最高维进行规约操作，将不需要进行规约的维度进行合并，将 blockIdx.x 映射到不需要进行规约的维度，保证访问存储效率最大。线程间数据没有依赖，只需要进行线程内规约操作。当num < blockDim.x时需要将 IsBounary 设置为 true，表明需要进行访存边界判断，避免访问存储越界。</br>
+ReduceSum 数据处理过程如下：</br>
+![Reduce](./images/example_reduce.png)
 
 ### kernel 代码
 
@@ -35,7 +37,7 @@ __device__ void HigherDimImp(const Tx* x, Ty* y, ReduceOp reducer,
                              TransformOp transform, MPType init,
                              int reduce_num, int left_num,
                              int block_num) {
-  const int NY = 1;
+  const int NY = 2;
   int idx = blockIdx.x * blockDim.x;
   int idy = blockIdx.y * block_num; // block_offset of rows
   Tx reduce_input[NY];

docs/guides/11_kernel_primitives_api/reduce_example_en.md

@@ -23,7 +23,10 @@ struct AddFunctor {
 ```
 ### Kernel Description
 
-Perform the reduction operation on the highest dimension, merge the dimensions that do not need to be reduced, and map blockIdx.x to the dimensions that do not need to be reduced to ensure maximum access and storage efficiency. There is no dependency on data between threads, only intra-thread protocol operations are required. When num < blockDim.x, IsBounary needs to be set to true, indicating that the memory access boundary judgment needs to be performed to avoid access to memory out of range.
+Perform the reduction operation on the highest dimension, merge the dimensions that do not need to be reduced, and map blockIdx.x to the dimensions that do not need to be reduced to ensure maximum access and storage efficiency. There is no dependency on data between threads, only intra-thread protocol operations are required. When num < blockDim.x, IsBounary needs to be set to true, indicating that the memory access boundary judgment needs to be performed to avoid access to memory out of range.</br>
+
+The data processing process of ReduceSum is as follows:</br>
+![Reduce](./images/example_reduce.png)
 
 ### Code
 
@@ -33,7 +36,7 @@ __device__ void HigherDimImp(const Tx* x, Ty* y, ReduceOp reducer,
                              TransformOp transform, MPType init,
                              int reduce_num, int left_num,
                              int block_num) {
-  const int NY = 1;
+  const int NY = 2;
   int idx = blockIdx.x * blockDim.x;
   int idy = blockIdx.y * block_num; // block_offset of rows
   Tx reduce_input[NY];