diff --git a/src/frontends/onnx/frontend/src/utils/random_normal.cpp b/src/frontends/onnx/frontend/src/utils/random_normal.cpp
index 64c680442ea9a2..19f315ff430b08 100644
--- a/src/frontends/onnx/frontend/src/utils/random_normal.cpp
+++ b/src/frontends/onnx/frontend/src/utils/random_normal.cpp
@@ -55,7 +55,6 @@ OutputVector make_random_normal(const Output<ngraph::Node>& shape,
     auto const product =
         std::make_shared<default_opset::Multiply>(scale_const, std::make_shared<default_opset::Multiply>(sqrt, cos));
     auto const sum = std::make_shared<default_opset::Add>(product, mean_const);
-    
     // if we don't disable downcasting then log(float32_min) gives -inf
     disable_fp16_compression(uniform_1);
     disable_fp16_compression(log);
diff --git a/src/frontends/pytorch/src/op/rand.cpp b/src/frontends/pytorch/src/op/rand.cpp
index 9c2df8e3b6df1a..4259ba5f6b2f03 100644
--- a/src/frontends/pytorch/src/op/rand.cpp
+++ b/src/frontends/pytorch/src/op/rand.cpp
@@ -65,7 +65,6 @@ OutputVector make_random_normal(const NodeContext& context,
     auto sqrt_x_cos = context.mark_node(std::make_shared<v1::Multiply>(sqrt, cos));
     auto product = context.mark_node(std::make_shared<v1::Multiply>(scale_const, sqrt_x_cos));
     auto sum = context.mark_node(std::make_shared<v1::Add>(product, mean_const));
-    
     // if we don't disable downcasting then log(float32_min) gives -inf
     disable_fp16_compression(uniform_1);
     disable_fp16_compression(log);