fix lintrunner error

microsoft · Sep 19, 2023 · 1209cdf · 1209cdf
1 parent 3607251
commit 1209cdf
Showing 1 changed file with 4 additions and 8 deletions.
diff --git a/onnxruntime/test/optimizer/graph_transform_test_layernorm.cc b/onnxruntime/test/optimizer/graph_transform_test_layernorm.cc
@@ -419,12 +419,10 @@ TEST_F(GraphTransformationTests, SimplifiedLayerNormFusionTest) {
   for (const Node& node : graph.Nodes()) {
     if (node.OpType() == "SimplifiedLayerNormalization") {
       // LayerNormalization should have two inputs.
-      EXPECT_EQ(node.InputDefs().size(), 2u) <<
-        "LayerNormalization number of inputs does not equal to 2. Got:" << node.InputDefs().size();
+      EXPECT_EQ(node.InputDefs().size(), 2u) << "LayerNormalization number of inputs does not equal to 2. Got:" << node.InputDefs().size();
       // LayerNormalization input "scale" and "bias" should have the same dimension.
       const TensorShapeProto* scale_shape = node.InputDefs()[1]->Shape();
-      EXPECT_EQ(scale_shape->dim_size(), 1) <<
-        "LayerNormalization scale should be 1D. Got: " << scale_shape->dim_size();
+      EXPECT_EQ(scale_shape->dim_size(), 1) << "LayerNormalization scale should be 1D. Got: " << scale_shape->dim_size();
     } else {
       EXPECT_TRUE(false) << "Unexpected node " << node.Name();
     }
@@ -455,12 +453,10 @@ TEST_F(GraphTransformationTests, LayerNormScaleBiasTest) {
   for (const Node& node : graph.Nodes()) {
     if (node.OpType() == "LayerNormalization") {
       // LayerNormalization should have three inputs.
-      EXPECT_EQ(node.InputDefs().size(), 3u) <<
-        "LayerNormalization number of inputs does not equal to 3. Got:" << node.InputDefs().size();
+      EXPECT_EQ(node.InputDefs().size(), 3u) << "LayerNormalization number of inputs does not equal to 3. Got:" << node.InputDefs().size();
       // LayerNormalization input "scale" and "bias" should have the same dimension.
       const TensorShapeProto* scale_shape = node.InputDefs()[1]->Shape();
-      EXPECT_EQ(scale_shape->dim_size(), 1) <<
-        "LayerNormalization scale should be 1D. Got: " << scale_shape->dim_size();
+      EXPECT_EQ(scale_shape->dim_size(), 1) << "LayerNormalization scale should be 1D. Got: " << scale_shape->dim_size();
     }
   }
 }