diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index f9899f613..ed79f6abf 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -6066,14 +6066,14 @@ static  __global__ void pool2d_nchw_kernel(
             case GGML_OP_POOL_MAX: res = -FLT_MAX; break;
         }
 
-        for(int i = bh; i < eh; i += 1) {
-            for(int j = bw; j < ew; j += 1) {
+        for (int i = bh; i < eh; i += 1) {
+            for (int j = bw; j < ew; j += 1) {
     #if __CUDA_ARCH__ >= 350
                 Ti cur = __ldg(i_ptr + i * iw + j);
     #else
                 Ti cur = i_ptr[i * iw + j];
     #endif
-                switch(op){
+                switch (op) {
                     case GGML_OP_POOL_AVG: res += cur * scale; break;
                     case GGML_OP_POOL_MAX: res = max(res, (To)cur); break;
                 }
@@ -8780,10 +8780,11 @@ static void ggml_cuda_op_im2col(
     const int64_t batch = src1->ne[3];
     const size_t batch_offset = src1->nb[3] / 4; // nb is byte offset, src is type float32
 
-    if(dst->type == GGML_TYPE_F16)
+    if(dst->type == GGML_TYPE_F16) {
         im2col_cuda(src1_dd, (half*) dst_dd, IW, IH, OW, OH, KW, KH, IC, batch, batch_offset, delta_offset, s0, s1, p0, p1, d0, d1, main_stream);
-    else
+    } else {
         im2col_cuda(src1_dd, (float*) dst_dd, IW, IH, OW, OH, KW, KH, IC, batch, batch_offset, delta_offset, s0, s1, p0, p1, d0, d1, main_stream);
+    }
 
     (void) src0;
     (void) src0_dd;