clang-format

example/30_grouped_conv_fwd_multiple_d/run_grouped_conv_fwd_bias_relu_add_wmma_example.inc

@@ -279,7 +279,8 @@ bool run_grouped_conv_fwd_bias_relu_add_example(int argc, char* argv[])
     switch(conv_param.num_dim_spatial_)
     {
     // case 1: return run_grouped_conv_fwd_bias_relu_add<1>(config, conv_param);
-    case 2: return run_grouped_conv_fwd_bias_relu_add<2>(config, conv_param);
+    case 2:
+        return run_grouped_conv_fwd_bias_relu_add<2>(config, conv_param);
         // case 3: return run_grouped_conv_fwd_bias_relu_add<3>(config, conv_param);
     }
 

example/32_batched_gemm_scale_softmax_gemm/batched_gemm_lower_triangle_scale_softmax_gemm_permute_wmma_fp16.cpp

@@ -68,8 +68,7 @@ static constexpr auto TensorSpecB1 = ck::tensor_operation::device::TensorSpecial
 static constexpr auto TensorSpecC  = ck::tensor_operation::device::TensorSpecialization::Default;
 
 using DeviceMHAFactory =
-std::tuple<
-    ck::tensor_operation::device::DeviceBatchedGemmSoftmaxGemmPermute_Wmma_CShuffle<
+    std::tuple<ck::tensor_operation::device::DeviceBatchedGemmSoftmaxGemmPermute_Wmma_CShuffle<
         NumDimG,
         NumDimM,
         NumDimN,