:Remove leftover commented code and apply style formatting

src/ngraph/frontend/onnx_import/op/lstm.cpp

@@ -36,7 +36,6 @@
 #include "ngraph/op/reverse.hpp"
 #include "ngraph/op/select.hpp"
 #include "ngraph/op/util/broadcasting.hpp"
-#include "ngraph/op/util/reshape.hpp"
 #include "ngraph/shape.hpp"
 #include "ngraph/type/element_type.hpp"
 #include "utils/reshape.hpp"

src/ngraph/op/fused/gru_cell.cpp

@@ -18,8 +18,8 @@
 #include <cmath>
 #include <functional>
 
-#include "ngraph/builder/split.hpp"
 #include "ngraph/builder/reshape.hpp"
+#include "ngraph/builder/split.hpp"
 #include "ngraph/op/add.hpp"
 #include "ngraph/op/constant.hpp"
 #include "ngraph/op/dot.hpp"

src/ngraph/op/fused/rnn_cell.cpp

@@ -18,8 +18,8 @@
 #include <cmath>
 #include <functional>
 
-#include "ngraph/builder/split.hpp"
 #include "ngraph/builder/reshape.hpp"
+#include "ngraph/builder/split.hpp"
 #include "ngraph/op/add.hpp"
 #include "ngraph/op/constant.hpp"
 #include "ngraph/op/dot.hpp"
@@ -191,19 +191,6 @@ NodeVector op::RNNCell::decompose_op() const
 
 shared_ptr<Node> op::RNNCell::get_bias() const
 {
-    // shared_ptr<Node> bias;
-    // if (get_input_size() == 5)
-    // {
-    //     bias = get_argument(4);
-    // }
-    // else
-    // {
-    //     // As default bias is all zeros, thus just initialize it with appropriate shape and zeros.
-    //     bias = op::Constant::create(input(0).get_element_type(),
-    //                                 Shape{2 * get_hidden_size()},
-    //                                 vector<float>(2 * get_hidden_size(), 0.f));
-    // }
-    // return bias;
     shared_ptr<Node> bias;
     // Split B onto Wb an Rb and add them.
     NodeVector b_W_R = builder::split(get_argument(4), 2);

src/ngraph/op/util/rnn_cell_base.cpp

@@ -69,20 +69,22 @@ op::util::ActivationFunction op::util::RNNCellBase::get_activation_function(size
     return afunc;
 }
 
-
-shared_ptr<Node> op::util::RNNCellBase::add(const shared_ptr<Node>& lhs, const shared_ptr<Node>& rhs)
+shared_ptr<Node> op::util::RNNCellBase::add(const shared_ptr<Node>& lhs,
+                                            const shared_ptr<Node>& rhs)
 {
     auto args = op::numpy_style_broadcast({lhs, rhs});
     return {make_shared<op::Add>(args.at(0), args.at(1))};
 }
 
-shared_ptr<Node> op::util::RNNCellBase::sub(const shared_ptr<Node>& lhs, const shared_ptr<Node>& rhs)
+shared_ptr<Node> op::util::RNNCellBase::sub(const shared_ptr<Node>& lhs,
+                                            const shared_ptr<Node>& rhs)
 {
     auto args = op::numpy_style_broadcast({lhs, rhs});
     return {make_shared<op::Subtract>(args.at(0), args.at(1))};
 }
 
-shared_ptr<Node> op::util::RNNCellBase::mul(const shared_ptr<Node>& lhs, const shared_ptr<Node>& rhs)
+shared_ptr<Node> op::util::RNNCellBase::mul(const shared_ptr<Node>& lhs,
+                                            const shared_ptr<Node>& rhs)
 {
     auto args = op::numpy_style_broadcast({lhs, rhs});
     return {make_shared<op::Multiply>(args.at(0), args.at(1))};

src/ngraph/op/util/rnn_cell_base.hpp

@@ -59,7 +59,10 @@ namespace ngraph
                 std::size_t get_hidden_size() const { return m_hidden_size; }
                 float get_clip() const { return m_clip; }
                 const std::vector<std::string>& get_activations() const { return m_activations; }
-                const std::vector<float>& get_activation_alpha() const { return m_activation_alpha; }
+                const std::vector<float>& get_activation_alpha() const
+                {
+                    return m_activation_alpha;
+                }
                 const std::vector<float>& get_activation_beta() const { return m_activation_beta; }
             protected:
                 ///