diff --git a/src/embedding.cc b/src/embedding.cc
index 742ac3a..e28e395 100644
--- a/src/embedding.cc
+++ b/src/embedding.cc
@@ -84,8 +84,8 @@ check_shape_forward(
 )
 {
     TORCH_CHECK(
-        options.exterior.size() == 4,
-        op, ": exterior must be a tuple of four doubles comprising a rectangle (x, y, w, h)"
+        options.exterior.size() == 4, op,
+        ": exterior must be a tuple of four doubles comprising a rectangle (x, y, w, h)"
     );
     TORCH_CHECK(options.padding.size() == 2, op, ": padding should be comprised of 2 elements");
 
@@ -119,9 +119,8 @@ check_shape_backward(
     );
 
     TORCH_CHECK(
-        grad.sizes() == grad_sizes,
-        op,
-        ": gradient shape (", grad.sizes(), ") should be the same as input (", input.sizes(), ")"
+        grad.sizes() == grad_sizes, op, ": gradient shape (", grad.sizes(),
+        ") should be the same as input (", input.sizes(), ")"
     );
 }
 
diff --git a/test/embedding_test.cc b/test/embedding_test.cc
index fa9e302..33d7430 100644
--- a/test/embedding_test.cc
+++ b/test/embedding_test.cc
@@ -105,9 +105,8 @@ BOOST_AUTO_TEST_CASE(embedding2d_backward_grad)
     auto padding = std::vector<int64_t>({1, 1});
     auto exterior = std::vector<double>({0.0, 0.0, 10.0, 10.0});
 
-    auto grad_weight = embedding2d_backward(
-        grad, input, weight, /*padding=*/padding, /*exterior=*/exterior
-    );
+    auto grad_weight
+        = embedding2d_backward(grad, input, weight, /*padding=*/padding, /*exterior=*/exterior);
 
     BOOST_REQUIRE_EQUAL(grad_weight.sizes(), weight.sizes());
     // Grad of weight represents the following field:
@@ -118,17 +117,22 @@ BOOST_AUTO_TEST_CASE(embedding2d_backward_grad)
     // [3]|    1|   11|   10|   11|
     //       [0]|  [1]|  [2]|  [3]|
 
-    auto grad_expect = torch::tensor({
-        {1.0,  1.0,  0.0,  1.0},
-        {1.0, 11.0, 10.0, 11.0},
-        {0.0, 10.0, 10.0, 10.0},
-        {1.0, 11.0, 10.0, 11.0},
-    }, options);
+    auto grad_expect = torch::tensor(
+        {
+            {1.0, 1.0, 0.0, 1.0},
+            {1.0, 11.0, 10.0, 11.0},
+            {0.0, 10.0, 10.0, 10.0},
+            {1.0, 11.0, 10.0, 11.0},
+        },
+        options
+    );
 
     for (auto i : c10::irange(weight.size(0))) {
         for (auto j : c10::irange(weight.size(1))) {
             for (auto k : c10::irange(weight.size(2))) {
-                BOOST_CHECK_EQUAL(grad_weight[i][j][k].item<double>(), grad_expect[i][j].item<double>());
+                BOOST_CHECK_EQUAL(
+                    grad_weight[i][j][k].item<double>(), grad_expect[i][j].item<double>()
+                );
             }
         }
     }