clang format

src/targets/gpu/device/softmax.cpp

@@ -13,8 +13,7 @@ namespace gpu {
 namespace device {
 
 template <class T>
-__device__ void
-reduce_max(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
+__device__ void reduce_max(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
 {
     auto stride = (item_num + 1) / 2;
     while(true)
@@ -42,8 +41,7 @@ reduce_max(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
 }
 
 template <class T>
-__device__ void
-reduce_sum(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
+__device__ void reduce_sum(T* data_ptr, size_t block_size, size_t thr_idx, size_t item_num)
 {
     auto stride = (item_num + 1) / 2;
     while(true)
@@ -130,8 +128,7 @@ void softmax(hipStream_t stream, const argument& result, const argument& arg, in
                     if(i < batch_item_num)
                     {
                         data_idx[axis]    = i;
-                        lds_data[thr_idx] =
-                            input_ptr[desc_data.linear(data_idx)] - batch_max;
+                        lds_data[thr_idx] = input_ptr[desc_data.linear(data_idx)] - batch_max;
                         lds_data[thr_idx] = ::exp(to_hip_type(lds_data[thr_idx]));
                     }