clang format

src/targets/gpu/device/gelu.cpp

@@ -54,26 +54,25 @@ __global__ void add_gelu_kernel(void* a, void* b, int n_dim, void* r, int n)
     int tid     = blockIdx.x * blockDim.x + threadIdx.x;
     if(tid < n)
     {
-        int idb = tid % n_dim;
-        auto sum = __hadd2(ha[tid], hb[idb]);
+        int idb       = tid % n_dim;
+        auto sum      = __hadd2(ha[tid], hb[idb]);
         __half2 sqrt2 = __float2half2_rn(M_SQRT1_2);
-        sum = __hmul2(sum, sqrt2);
-        auto f2 = __half22float2(sum);
+        sum           = __hmul2(sum, sqrt2);
+        auto f2       = __half22float2(sum);
         f2 += 1.0f;
         auto h2 = __floats2half2_rn(f2.x, f2.y);
 
         __half2 point5 = __float2half2_rn(0.5f);
-        hr[tid] = __hmul2(sum, __hmul2(point5, h2));
+        hr[tid]        = __hmul2(sum, __hmul2(point5, h2));
     }
 }
 
-
 void add_gelu(hipStream_t stream,
               const argument& result,
               const argument& arg1,
               const argument& arg2)
 {
-    auto sr = result.get_shape();
+    auto sr   = result.get_shape();
     auto type = sr.type();
     std::vector<shape> ss;
     ss.push_back(arg1.get_shape());
@@ -84,7 +83,8 @@ void add_gelu(hipStream_t stream,
         auto last_dim  = sr.lens().back() / 2;
         int block_size = 1024;
         int block_num  = (elem_num + block_size - 1) / block_size;
-        add_gelu_kernel<<<block_num, block_size>>>(arg1.data(), arg2.data(), last_dim, result.data(), elem_num);
+        add_gelu_kernel<<<block_num, block_size>>>(
+            arg1.data(), arg2.data(), last_dim, result.data(), elem_num);
     }
     else
     {