fix code format (#348)

src/builder/sgir.cpp

@@ -6,10 +6,10 @@
 //
 //===----------------------------------------------------------------------===//
 
-#include <regex>
-#include <tuple>
 #include <numeric>
+#include <regex>
 #include <string>
+#include <tuple>
 
 #include "mlir/Analysis/Verifier.h"
 #include "mlir/Dialect/StandardOps/Ops.h"
@@ -73,7 +73,6 @@ struct OnnxOnnfSymbolMapping {
     onnx_name2onnf_tensor.emplace(legalize_name(name), tensor);
   }
 
-
   bool ContainKey(std::string name) {
     return onnx_name2onnf_tensor.count(name) != 0;
   }
@@ -104,9 +103,7 @@ private:
   // mapping between string name and symbol
   OnnxOnnfSymbolMapping sgir_symbols_;
 
-  mlir::Location UnknownLoc() {
-    return mlir::UnknownLoc::get(&context_);
-  }
+  mlir::Location UnknownLoc() { return mlir::UnknownLoc::get(&context_); }
 
   mlir::Type TypeConvert(onnx::TensorProto_DataType intype) {
     return builder_.getF32Type();
@@ -131,10 +128,12 @@ private:
       }
     }
     if (!sgir_symbols_.ContainKey(input_tensor_legalized_name)) {
-      mlir::Type elementType = TypeConvert(input.type().tensor_type().elem_type());
+      mlir::Type elementType =
+          TypeConvert(input.type().tensor_type().elem_type());
       llvm::ArrayRef<int64_t> llvmdimsAR(dims.data(), dims.size());
       auto dataType = builder_.getTensorType(llvmdimsAR, elementType);
-      mlir::OperationState result(UnknownLoc(), "sgir.input "+input_tensor_legalized_name);
+      mlir::OperationState result(
+          UnknownLoc(), "sgir.input " + input_tensor_legalized_name);
       result.addTypes(dataType);
       auto op = builder_.createOperation(result);
       auto value = op->getResult(0);
@@ -176,7 +175,6 @@ private:
     }
   }
 
-
   void ImportGraph(onnx::GraphProto graph) {
     // create a function for the graph
     // TODO:
@@ -185,8 +183,8 @@ private:
     llvm::SmallVector<mlir::Type, 4> ret_types;
     llvm::SmallVector<mlir::Type, 4> arg_types;
     auto func_type = builder_.getFunctionType(arg_types, ret_types);
-    auto llvmfunction = mlir::FuncOp::create(UnknownLoc(),
-                                 graph.name(), func_type, /* attrs = */ {});
+    auto llvmfunction = mlir::FuncOp::create(
+        UnknownLoc(), graph.name(), func_type, /* attrs = */ {});
     auto& entryBlock = *llvmfunction.addEntryBlock();
     builder_.setInsertionPointToStart(&entryBlock);
     module_.push_back(llvmfunction);
@@ -214,10 +212,9 @@ private:
 };  // SGIRGenImpl class
 
 }  // namespace
-} //namespace onnf
+}  // namespace dlc
 
 namespace onnf {
- 
 /*!
  * Generate SGIR with MLIR for a onnx model
  * @param model onnx model.
@@ -233,4 +230,3 @@ mlir::OwningModuleRef SGIRImportModel(onnx::ModelProto model) {
 }
 
 }  // namespace onnf
-

src/builder/sgir.hpp

@@ -32,4 +32,3 @@ namespace onnf {
 mlir::OwningModuleRef SGIRImportModel(onnx::ModelProto model);
 
 }  // namespace onnf
-