[luci/service] Fix to follow clang format

This commit fixes some line to follow clang format. ONE-DCO-1.0-Signed-off-by: Chansu Park <1265pcs@gmail.com>
Samsung · Sep 8, 2024 · 4a2ec33 · 4a2ec33
1 parent c4f11fd
commit 4a2ec33
Show file tree

Hide file tree

Showing 6 changed files with 10 additions and 19 deletions.
diff --git a/compiler/luci/service/src/CircleShapeInferenceRule.cpp b/compiler/luci/service/src/CircleShapeInferenceRule.cpp
@@ -442,7 +442,6 @@ loco::NodeShape infer_broadcast_to(const luci::CircleBroadcastTo *node)
   return loco::NodeShape{shape_by_input};
 }
 
-
 loco::NodeShape infer_depth_to_space(const luci::CircleDepthToSpace *node)
 {
   auto input_shape = luci::shape_get(node->input()).as<loco::TensorShape>();
@@ -475,7 +474,6 @@ loco::NodeShape infer_depth_to_space(const luci::CircleDepthToSpace *node)
   return loco::NodeShape{output_shape};
 }
 
-
 loco::NodeShape infer_expand_dims(const luci::CircleExpandDims *node)
 {
   const loco::DataType S32 = loco::DataType::S32;
@@ -1907,7 +1905,6 @@ class ShapeInferenceAlgorithm final : public luci::CircleNodeVisitor<loco::NodeS
     return infer_depth_to_space(node);
   }
 
-
   loco::NodeShape visit(const luci::CircleDequantize *node) final
   {
     const auto input_shape = luci::shape_get(node->input()).as<loco::TensorShape>();

diff --git a/compiler/luci/service/src/HelperConv2Ds.h b/compiler/luci/service/src/HelperConv2Ds.h
@@ -14,7 +14,6 @@
  * limitations under the License.
  */
 
-
 #include "Check.h"
 #include "CircleShapeInferenceHelper.h"
 
@@ -24,8 +23,7 @@ namespace luci
 namespace sinf
 {
 
-template <class Conv2DType>
-loco::TensorShape conv2d_output_shape(const Conv2DType *node)
+template <class Conv2DType> loco::TensorShape conv2d_output_shape(const Conv2DType *node)
 {
   auto ifm_shape = circle_shape(loco::must_cast<const luci::CircleNode *>(node->input()));
   auto ker_shape = circle_shape(loco::must_cast<const luci::CircleNode *>(node->filter()));
@@ -62,7 +60,8 @@ loco::TensorShape conv2d_output_shape(const Conv2DType *node)
     if (node->padding() == luci::Padding::VALID)
     {
       LUCI_ASSERT(input_height + stride_height > effective_ker_height, "Invalid shape");
-      output_shape.dim(1).set((input_height + stride_height - effective_ker_height) / stride_height);
+      output_shape.dim(1).set((input_height + stride_height - effective_ker_height) /
+                              stride_height);
     }
     else if (node->padding() == luci::Padding::SAME)
     {
@@ -102,4 +101,4 @@ loco::TensorShape conv2d_output_shape(const Conv2DType *node)
 
 } // namespace sinf
 
-} // namespace luci
+} // namespace luci
diff --git a/compiler/luci/service/src/Nodes/CircleConv2D.cpp b/compiler/luci/service/src/Nodes/CircleConv2D.cpp
@@ -51,7 +51,7 @@ namespace sinf
 loco::TensorShape Algorithm::visit(const luci::CircleConv2D *node)
 {
   LOGGER(l);
-  
+
   auto ifm = loco::must_cast<luci::CircleNode *>(node->input());
   auto ifm_shape = circle_shape(ifm); // in NHWC
   auto ker = loco::must_cast<luci::CircleNode *>(node->filter());

diff --git a/compiler/luci/service/src/Nodes/CircleConv2D.test.cpp b/compiler/luci/service/src/Nodes/CircleConv2D.test.cpp
@@ -61,7 +61,6 @@ TEST(CloneNodeTest, clone_Conv2D_padding_NEG)
   ASSERT_EQ(nullptr, cloned);
 }
 
-
 TEST(ShapeRuleTest, Conv2D_sinf_dynamic)
 {
   luci::CircleInput ifm;
@@ -85,8 +84,7 @@ TEST(ShapeRuleTest, Conv2D_sinf_dynamic)
   loco::TensorShape shape;
   luci::sinf::Rule shape_inf_rule;
   shape_inf_rule.infer(&node_conv2d, shape);
-
-
+
   ASSERT_EQ(false, shape.dim(0).known());
   ASSERT_EQ(false, shape.dim(1).known());
   ASSERT_EQ(true, shape.dim(2).known());
@@ -115,4 +113,4 @@ TEST(ShapeRuleTest, Conv2D_sinf_without_input_NEG)
   loco::TensorShape shape;
   luci::sinf::Rule shape_inf_rule;
   ASSERT_ANY_THROW(shape_inf_rule.infer(&node_conv2d, shape));
-}
+}
diff --git a/compiler/luci/service/src/Nodes/CircleDepthwiseConv2D.cpp b/compiler/luci/service/src/Nodes/CircleDepthwiseConv2D.cpp
@@ -54,7 +54,6 @@ loco::TensorShape Algorithm::visit(const luci::CircleDepthwiseConv2D *node)
   auto ker = loco::must_cast<luci::CircleNode *>(node->filter());
   auto ker_shape = circle_shape(ker); // in 1 H W CM
 
-
   assert(ifm_shape.rank() == 4);
   assert(ker_shape.rank() == 4);
   assert(ker_shape.dim(0).value() == 1);
@@ -64,7 +63,7 @@ loco::TensorShape Algorithm::visit(const luci::CircleDepthwiseConv2D *node)
   // Height and width have already been determined by conv2d_output_shape
   ofm_shape.dim(0) = ifm_shape.dim(0);
   ofm_shape.dim(3) = ker_shape.dim(3);
-  
+
   return ofm_shape;
 }
 

diff --git a/compiler/luci/service/src/Nodes/CircleDepthwiseConv2D.test.cpp b/compiler/luci/service/src/Nodes/CircleDepthwiseConv2D.test.cpp
@@ -61,7 +61,6 @@ TEST(CloneNodeTest, clone_DepthwiseConv2D_padding_NEG)
   ASSERT_EQ(nullptr, cloned);
 }
 
-
 TEST(ShapeRuleTest, DepthwiseConv2D_sinf_dynamic)
 {
   luci::CircleInput ifm;
@@ -85,8 +84,7 @@ TEST(ShapeRuleTest, DepthwiseConv2D_sinf_dynamic)
   loco::TensorShape shape;
   luci::sinf::Rule shape_inf_rule;
   shape_inf_rule.infer(&node_dwconv2d, shape);
-
-
+
   ASSERT_EQ(false, shape.dim(0).known());
   ASSERT_EQ(true, shape.dim(1).known());
   ASSERT_EQ(true, shape.dim(2).known());
@@ -118,4 +116,4 @@ TEST(ShapeRuleTest, DwConv2D_ifm_not_ready_NEG)
   loco::TensorShape shape;
   luci::sinf::Rule shape_inf_rule;
   ASSERT_FALSE(shape_inf_rule.infer(&node_dwconv2d, shape));
-}
+}