format.

src/ngraph/runtime/cpu/pass/cpu_fusion.cpp

@@ -514,37 +514,38 @@ void ngraph::runtime::cpu::pass::CPUFusion::construct_zero_padded_conv()
 
     this->add_matcher(std::make_shared<ngraph::pattern::Matcher>(conv_label, callback));
 }
-
-void ngraph::runtime::cpu::pass::CPUFusion::construct_conv_bias()
-{
-    Shape shape{2, 2, 1, 1};
-    auto data_batch = std::make_shared<pattern::op::Label>(element::f32, shape);
-    auto filters = std::make_shared<pattern::op::Label>(element::f32, shape);
-    auto pbias = std::make_shared<pattern::op::Label>(element::f32, Shape{});
-
-    auto pbroadcast = std::make_shared<op::Broadcast>(pbias, shape, AxisSet{0, 1, 2, 3});
-
-    auto pconv1 = std::make_shared<op::Convolution>(data_batch,
-                                                    filters,
-                                                    Strides{1, 1},
-                                                    Strides{1, 1},
-                                                    CoordinateDiff{0, 0},
-                                                    CoordinateDiff{0, 0},
-                                                    Strides{1, 1});
-    auto p_conv_bias = pbroadcast + pconv1;
-
-    ngraph::pattern::gr_callback_fn callback = [](pattern::Matcher& m) {
-        NGRAPH_DEBUG << "In callback for construct_conv_bias against node = "
-                     << m.match_root()->get_name();
-        auto pattern_map = m.get_pattern_map();
-        std::shared_ptr<Node> nn;
-
-        auto conv = std::dynamic_pointer_cast<op::Convolution>(m.match_root()->get_input_op(0));
-        auto bias = m.match_root()->get_input_op(1)->get_input_op(0);
-        auto conv_bias = std::shared_ptr<Node>(new op::ConvolutionBias(conv, bias));
-        return conv_bias;
-    };
-
-    auto m = std::make_shared<ngraph::pattern::Matcher>(p_conv_bias, callback);
-    this->add_matcher(m);
-}
+
+void ngraph::runtime::cpu::pass::CPUFusion::construct_conv_bias()
+{
+    Shape shape{2, 2, 1, 1};
+    auto data_batch = std::make_shared<pattern::op::Label>(element::f32, shape);
+    auto filters = std::make_shared<pattern::op::Label>(element::f32, shape);
+    auto pbias = std::make_shared<pattern::op::Label>(element::f32, Shape{});
+
+    auto pbroadcast = std::make_shared<op::Broadcast>(pbias, shape, AxisSet{0, 1, 2, 3});
+
+    auto pconv1 = std::make_shared<op::Convolution>(data_batch,
+                                                    filters,
+                                                    Strides{1, 1},
+                                                    Strides{1, 1},
+                                                    CoordinateDiff{0, 0},
+                                                    CoordinateDiff{0, 0},
+                                                    Strides{1, 1});
+    auto p_conv_bias = pbroadcast + pconv1;
+
+    ngraph::pattern::gr_callback_fn callback = [](pattern::Matcher& m) {
+        NGRAPH_DEBUG << "In callback for construct_conv_bias against node = "
+                     << m.match_root()->get_name();
+        auto pattern_map = m.get_pattern_map();
+        std::shared_ptr<Node> nn;
+
+        auto conv = std::dynamic_pointer_cast<op::Convolution>(m.match_root()->get_input_op(0));
+        auto bias = m.match_root()->get_input_op(1)->get_input_op(0);
+        auto conv_bias = std::shared_ptr<Node>(new op::ConvolutionBias(conv, bias));
+        return conv_bias;
+    };
+
+    auto m = std::make_shared<ngraph::pattern::Matcher>(p_conv_bias, callback);
+    this->add_matcher(m);
+}
+