diff --git a/ark/ops/ops_matmul.cc b/ark/ops/ops_matmul.cc
index b9c12b65e..40a2aafc2 100644
--- a/ark/ops/ops_matmul.cc
+++ b/ark/ops/ops_matmul.cc
@@ -237,9 +237,8 @@ Tensor *Model::matmul(Tensor *mat_a, Tensor *mat_b, Tensor *mat_y,
     Dims split_output_shape = output_shape;
     split_output_shape[0] *= split_k;
     Tensor *output_buffer = this->tensor(split_output_shape, mat_y->type);
-    vector<Tensor *> mat_y_shards =
-        this->sharding(output_buffer, 0, output_shape[0],
-                       name + "/sharding_mat_y");
+    vector<Tensor *> mat_y_shards = this->sharding(
+        output_buffer, 0, output_shape[0], name + "/sharding_mat_y");
 
     int axis_a;
     int axis_b;
diff --git a/ark/ops/ops_reduce.cc b/ark/ops/ops_reduce.cc
index f64da0fd3..afbfa4cbc 100644
--- a/ark/ops/ops_reduce.cc
+++ b/ark/ops/ops_reduce.cc
@@ -138,7 +138,7 @@ std::string ReduceEMeanOp::function_name(const OpConfig &cfg) const
 
 template <typename ReduceOpType>
 Tensor *Model::reduce(Tensor *input, int axis, Tensor *output,
-               const std::string &name)
+                      const std::string &name)
 {
     assert(input != nullptr);
     OpPrecType pt = OP_PREC_NONE;
@@ -158,12 +158,13 @@ Tensor *Model::reduce(Tensor *input, int axis, Tensor *output,
         output = this->tensor(reduced_shape, input->type);
     } else {
         if (output->shape != reduced_shape) {
-            LOG(ERROR, "invalid output shape ", output->shape, " with input "
-                       "shape ", input->shape, " and reduction axis ", axis);
+            LOG(ERROR, "invalid output shape ", output->shape,
+                " with input shape ", input->shape, " and reduction axis ",
+                axis);
         }
         if (output == input) {
             LOG(ERROR, "output tensor cannot be the same as input tensor for "
-                    "reduce_sum op");
+                       "reduce_sum op");
         }
     }
     ReduceOpType op{pt, input, output, axis, name};