add integer attribute convert

BUILD

@@ -129,6 +129,8 @@ cc_binary(
         "tools/mlir-tblgen-builder/*.cpp",
         "tools/mlir-tblgen-builder/TableGen/*.h",
         "tools/mlir-tblgen-builder/TableGen/*.cpp",
+        "tools/mlir-tblgen-builder/Builder/*.h",
+        "tools/mlir-tblgen-builder/Builder/*.cpp",
     ]),
     deps = [
         "@llvm-project//mlir:MlirTableGenMain",

tools/mlir-hlo-opt/mlir-hlo-opt.cpp

@@ -14,8 +14,25 @@ limitations under the License.
 ==============================================================================*/
 
 #include "iostream"
-
+#include "llvm/Support/CommandLine.h"
-#include "mlir/Support/MlirOptMain.h"
+#include "llvm/Support/DynamicLibrary.h"
+#include "llvm/Support/FileUtilities.h"
+#include "llvm/Support/InitLLVM.h"
+#include "llvm/Support/Regex.h"
+#include "llvm/Support/SourceMgr.h"
+#include "llvm/Support/StringSaver.h"
+#include "llvm/Support/ToolOutputFile.h"
+#include "mlir-hlo/Dialect/mhlo/IR/chlo_ops.h"
+#include "mlir-hlo/Dialect/mhlo/IR/disc_ral_ops.h"
+#include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
+#include "mlir-hlo/Dialect/mhlo/IR/lhlo_gpu_ops.h"
+#include "mlir-hlo/Dialect/mhlo/IR/lhlo_ops.h"
+#include "mlir-hlo/Dialect/mhlo/transforms/passes.h"
+#include "mlir-hlo/Dialect/mhlo/transforms/register_passes.h"
+#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
+#include "mlir/ExecutionEngine/ExecutionEngine.h"
+#include "mlir/ExecutionEngine/JitRunner.h"
+#include "mlir/ExecutionEngine/OptUtils.h"
 #include "mlir/IR/AsmState.h"
 #include "mlir/IR/Attributes.h"
 #include "mlir/IR/BuiltinOps.h"
@@ -23,62 +40,31 @@ limitations under the License.
 #include "mlir/IR/Dialect.h"
 #include "mlir/IR/Location.h"
 #include "mlir/IR/MLIRContext.h"
+#include "mlir/InitAllDialects.h"
+#include "mlir/InitAllPasses.h"
 #include "mlir/Parser.h"
 #include "mlir/Pass/Pass.h"
 #include "mlir/Pass/PassManager.h"
 #include "mlir/Support/DebugCounter.h"
 #include "mlir/Support/FileUtilities.h"
+#include "mlir/Support/MlirOptMain.h"
 #include "mlir/Support/Timing.h"
 #include "mlir/Support/ToolUtilities.h"
-#include "llvm/Support/CommandLine.h"
-#include "llvm/Support/FileUtilities.h"
-#include "llvm/Support/InitLLVM.h"
-#include "llvm/Support/Regex.h"
-#include "llvm/Support/SourceMgr.h"
-#include "llvm/Support/StringSaver.h"
-#include "llvm/Support/ToolOutputFile.h"
-#include "llvm/Support/DynamicLibrary.h"
-
-#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
-#include "mlir/ExecutionEngine/JitRunner.h"
-#include "mlir/ExecutionEngine/OptUtils.h"
 #include "mlir/Target/LLVMIR/Dialect/All.h"
-
-
-
-#include "mlir/InitAllDialects.h"
-#include "mlir/InitAllPasses.h"
-
-
-
-#include "mlir-hlo/Dialect/mhlo/IR/chlo_ops.h"
-#include "mlir-hlo/Dialect/mhlo/IR/disc_ral_ops.h"
-#include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
-#include "mlir-hlo/Dialect/mhlo/IR/lhlo_gpu_ops.h"
-#include "mlir-hlo/Dialect/mhlo/IR/lhlo_ops.h"
-#include "mlir-hlo/Dialect/mhlo/transforms/register_passes.h"
-#include "mlir-hlo/Dialect/mhlo/transforms/passes.h"
-
-
-#include "mlir/ExecutionEngine/ExecutionEngine.h"
 // #include "mlir/IR/BuiltinTypes.h"
 
-
+#include "llvm/ADT/STLExtras.h"
-#include "llvm/Support/TargetSelect.h"
 #include "llvm/ExecutionEngine/Orc/JITTargetMachineBuilder.h"
 #include "llvm/ExecutionEngine/Orc/Mangling.h"
-
-
-#include "llvm/ADT/STLExtras.h"
 #include "llvm/IR/IRBuilder.h"
 #include "llvm/IR/LLVMContext.h"
 #include "llvm/IR/LegacyPassNameParser.h"
-
+#include "llvm/Support/TargetSelect.h"
 
 using namespace mlir;
 using namespace llvm;
 
-namespace utils{
+namespace utils {
 template <typename T, int N>
 struct MemRefDescriptor {
   T *allocated;
@@ -87,11 +73,9 @@ struct MemRefDescriptor {
   int64_t sizes[N];
   int64_t strides[N];
 };
-}
+}  // namespace utils
-
 
 int main(int argc, char **argv) {
-
   llvm::InitLLVM y(argc, argv);
   llvm::InitializeNativeTarget();
   llvm::InitializeNativeTargetAsmPrinter();
@@ -105,7 +89,6 @@ int main(int argc, char **argv) {
   // registerDefaultTimingManagerCLOptions();
   DebugCounter::registerCLOptions();
 
-
   mlir::registerAllPasses();
   mlir::mhlo::registerAllMhloPasses();
   mlir::lmhlo::registerAllLmhloPasses();
@@ -120,24 +103,22 @@ int main(int argc, char **argv) {
   registry.insert<mlir::lmhlo_gpu::LmhloGpuDialect>();
   registry.insert<mlir::disc_ral::RalDialect>();
 
-  
   // failed(mlir::MlirOptMain(argc, argv, "MLIR HLO pass driver\n",
   //                                 registry,
   //                                 /*preloadDialectsInContext=*/false));
   // return 0;
 
-
-
   std::string errorMessage;
 
-  // auto file = mlir::openInputFile("/root/mlir-hlo/bazel-bin/a.mlir", &errorMessage);
+  // auto file = mlir::openInputFile("/root/mlir-hlo/bazel-bin/a.mlir",
-  auto file = mlir::openInputFile("/root/mlir-hlo/tests/test.mlir", &errorMessage);
+  // &errorMessage);
-  std::cout<<"errorMessage:" <<errorMessage <<std::endl;
+  auto file =
+      mlir::openInputFile("/root/mlir-hlo/tests/test.mlir", &errorMessage);
+  std::cout << "errorMessage:" << errorMessage << std::endl;
 
   SourceMgr sourceMgr;
   sourceMgr.AddNewSourceBuffer(std::move(file), SMLoc());
 
-
   SmallVector<const llvm::PassInfo *, 4> passes;
   auto tmBuilderOrError = llvm::orc::JITTargetMachineBuilder::detectHost();
   auto tmOrError = tmBuilderOrError->createTargetMachine();
@@ -145,8 +126,6 @@ int main(int argc, char **argv) {
   auto transformer = mlir::makeLLVMPassesTransformer(
       passes, 0, /*targetMachine=*/tmOrError->get(), 0);
 
-
-
   MLIRContext context(registry);
   context.loadAllAvailableDialects();
   OwningModuleRef module(parseSourceFile(sourceMgr, &context));
@@ -157,8 +136,7 @@ int main(int argc, char **argv) {
     return failure();
   };
 
-
+  // RUN: mlir-hlo-opt %s -chlo-legalize-to-hlo \
-// RUN: mlir-hlo-opt %s -chlo-legalize-to-hlo \
 // RUN: -hlo-legalize-to-lhlo -buffer-hoisting \
 // RUN: -buffer-deallocation -canonicalize -cse \
 // RUN: -lhlo-legalize-to-linalg -lhlo-fuse-linalg -convert-linalg-to-loops \
@@ -172,7 +150,7 @@ int main(int argc, char **argv) {
 
   pm.addPass(mlir::mhlo::createChloLegalizeToHloPass());
   pm.addPass(mlir::mhlo::createLegalizeToLhloPass());
-  
+
   pm.addPass(mlir::createBufferHoistingPass());
   pm.addPass(mlir::createBufferDeallocationPass());
 
@@ -188,13 +166,11 @@ int main(int argc, char **argv) {
   pm.addPass(mlir::createCanonicalizerPass());
   pm.addPass(mlir::createCSEPass());
   pm.addPass(mlir::createLowerToLLVMPass());
-  
+
   pm.run(*module);
   module->dump();
 
-
+  std::cout << "DEBUG load module success" << std::endl;
-  
-  std::cout<<"DEBUG load module success"<<std::endl;
 
   llvm::CodeGenOpt::Level jitCodeGenOptLevel = llvm::CodeGenOpt::Default;
 
@@ -206,16 +182,14 @@ int main(int argc, char **argv) {
   // Use absolute library path so that gdb can find the symbol table.
 
   std::list<std::string> sharedlib;
-  sharedlib.push_back("/root/mlir-hlo/llvm-build/lib/libmlir_runner_utils.so.13git");
+  sharedlib.push_back(
+      "/root/mlir-hlo/llvm-build/lib/libmlir_runner_utils.so.13git");
 
-  transform(
+  transform(sharedlib, std::back_inserter(libPaths), [](std::string libPath) {
-      sharedlib,
+    SmallString<256> absPath(libPath.begin(), libPath.end());
-      std::back_inserter(libPaths),
+    cantFail(llvm::errorCodeToError(llvm::sys::fs::make_absolute(absPath)));
-      [](std::string libPath) {
+    return absPath;
-        SmallString<256> absPath(libPath.begin(), libPath.end());
+  });
-        cantFail(llvm::errorCodeToError(llvm::sys::fs::make_absolute(absPath)));
-        return absPath;
-      });
 
   // Libraries that we'll pass to the ExecutionEngine for loading.
   SmallVector<StringRef, 4> executionEngineLibs;
@@ -226,7 +200,6 @@ int main(int argc, char **argv) {
   llvm::StringMap<void *> exportSymbols;
   SmallVector<MlirRunnerDestroyFn> destroyFns;
 
-
   // Handle libraries that do support mlir-runner init/destroy callbacks.
   for (auto &libPath : libPaths) {
     auto lib = llvm::sys::DynamicLibrary::getPermanentLibrary(libPath.c_str());
@@ -255,17 +228,12 @@ int main(int argc, char **argv) {
     return symbolMap;
   };
 
-
+  auto expectedEngine =
-
+      mlir::ExecutionEngine::create(module.get(), nullptr, transformer,
-
+                                    jitCodeGenOptLevel, executionEngineLibs);
-  auto expectedEngine = mlir::ExecutionEngine::create(
-      module.get(), nullptr, transformer, jitCodeGenOptLevel,
-      executionEngineLibs);
   // if (!expectedEngine)
   //   return expectedEngine.takeError();
 
-
-
   auto engine = std::move(*expectedEngine);
   engine->registerSymbols(runtimeSymbolMap);
 
@@ -277,16 +245,15 @@ int main(int argc, char **argv) {
   // if (options.dumpObjectFile)
   // engine->dumpToObjectFile("a.o");
 
-
+  float rawdata[6] = {0, 1, 2, 3, 4, 5};
-  float rawdata[6] = {0,1,2,3,4,5};
   int64_t dims = 1;
-  utils::MemRefDescriptor<float,1> a{rawdata,rawdata,0,{6},{1}};
+  utils::MemRefDescriptor<float, 1> a{rawdata, rawdata, 0, {6}, {1}};
-  utils::MemRefDescriptor<float,1> b{rawdata,rawdata,0,{6},{1}};
+  utils::MemRefDescriptor<float, 1> b{rawdata, rawdata, 0, {6}, {1}};
-  utils::MemRefDescriptor<float,1> result_memref;
+  utils::MemRefDescriptor<float, 1> result_memref;
 
-  struct memref_type{
+  struct memref_type {
     int64_t res_size = 6;
-    utils::MemRefDescriptor<float,1> *memref;
+    utils::MemRefDescriptor<float, 1> *memref;
   } result;
   result.memref = &result_memref;
 
@@ -299,23 +266,23 @@ int main(int argc, char **argv) {
   } data;
 
   data.data1_size = &dims;
-  void * a_ptr = &a;
+  void *a_ptr = &a;
   data.data1 = &a_ptr;
   data.data2_size = &dims;
-  void * b_ptr = &b;
+  void *b_ptr = &b;
   data.data2 = &b_ptr;
-  void * result_ptr = &result;
+  void *result_ptr = &result;
   data.res = &result;
 
   void (*fptr)(void **) = *expectedFPtr;
   (*fptr)((void **)&data);
 
-  std::cout<<"result: "<<result.memref->allocated[0]<<std::endl;
+  std::cout << "result: " << result.memref->allocated[0] << std::endl;
-  std::cout<<"result: "<<result.memref->allocated[1]<<std::endl;
+  std::cout << "result: " << result.memref->allocated[1] << std::endl;
-  std::cout<<"result: "<<result.memref->allocated[2]<<std::endl;
+  std::cout << "result: " << result.memref->allocated[2] << std::endl;
-  std::cout<<"result: "<<result.memref->allocated[3]<<std::endl;
+  std::cout << "result: " << result.memref->allocated[3] << std::endl;
-  std::cout<<"result: "<<result.memref->allocated[4]<<std::endl;
+  std::cout << "result: " << result.memref->allocated[4] << std::endl;
-  std::cout<<"result: "<<result.memref->allocated[5]<<std::endl;
+  std::cout << "result: " << result.memref->allocated[5] << std::endl;
 
   // Run all dynamic library destroy callbacks to prepare for the shutdown.
   llvm::for_each(destroyFns, [](MlirRunnerDestroyFn destroy) { destroy(); });

tools/mlir-tblgen-builder/Array.h

@@ -1,10 +0,0 @@
-#ifndef BUILDER_ARRAY_
-#define BUILDER_ARRAY_
-
-#include "iostream"
-
-namespace builder {
-class Array {}
-}  // namespace builder
-
-#endif

tools/mlir-tblgen-builder/Builder/Attribute.cpp

@@ -0,0 +1,22 @@
+#include "Attribute.h"
+
+#include "AttributeImpl.h"
+#include "Shape.h"
+#include "Tensor.h"
+#include "TensorImpl.h"
+#include "llvm/Support/Casting.h"
+#include "memory.h"
+// #include "mlir/Dialect/StandardOps/Ops.h"
+// #include "mlir/IR/Attributes.h"
+// #include "mlir/IR/Operation.h"
+// #include "mlir/IR/StandardTypes.h"
+// #include "mlir/IR/Types.h"
+// #include "mlir/IR/Value.h"
+
+namespace builder {
+
+Integer::Integer(int value) : impl_(std::make_shared<Integer::Impl>(value)) {}
+Integer::Integer(int64_t value)
+    : impl_(std::make_shared<Integer::Impl>(value)) {}
+
+}  // namespace builder

tools/mlir-tblgen-builder/Builder/Attribute.h

@@ -0,0 +1,50 @@
+#ifndef BUILDER_ATTRIBUTE_H_
+#define BUILDER_ATTRIBUTE_H_
+
+#include <iostream>
+#include <memory>
+
+namespace builder {
+
+class Integer {
+ public:
+  Integer(int value);
+  Integer(int64_t value);
+  class Impl;
+
+ private:
+  std::shared_ptr<Impl> impl_;
+};
+
+class Array {
+ public:
+  class Impl;
+  std::shared_ptr<Impl> GetImpl() { return impl_; }
+
+ private:
+  std::shared_ptr<Impl> impl_;
+};
+
+class Type {
+ public:
+  class Impl;
+  std::shared_ptr<Impl> GetImpl() { return impl_; }
+
+ private:
+  std::shared_ptr<Impl> impl_;
+};
+
+// template <typename T>
+// class DenseIntElementsAttr {
+//  public:
+//   explicit DenseIntElementsAttr(Tensor);
+//   class Impl;
+//   std::shared_ptr<Impl> GetImpl() { return impl_; }
+
+//  private:
+//   std::shared_ptr<Impl> impl_;
+// };
+
+}  // namespace builder
+
+#endif

tools/mlir-tblgen-builder/Builder/AttributeImpl.h

@@ -0,0 +1,58 @@
+#ifndef BUILDER_TYPEIMPL_
+#define BUILDER_TYPEIMPL_
+
+#include "Builder.h"
+#include "llvm/Support/Casting.h"
+#include "mlir/IR/Attributes.h"
+#include "mlir/IR/Builders.h"
+#include "mlir/IR/BuiltinTypes.h"
+#include "mlir/IR/MLIRContext.h"
+#include "mlir/IR/Operation.h"
+#include "mlir/IR/Types.h"
+#include "mlir/IR/Value.h"
+
+namespace builder {
+
+class Integer::Impl {
+ public:
+  Impl(){};
+
+  Impl(int value) {
+    GetAttr = [=](mlir::MLIRContext *context) -> mlir::IntegerAttr {
+      auto int32_type = mlir::IntegerType::get(context, 32);
+      return mlir::IntegerAttr::get(int32_type, value);
+    };
+  };
+  Impl(int64_t value)
+      : GetAttr([=](mlir::MLIRContext *context) -> mlir::IntegerAttr {
+          auto int32_type = mlir::IntegerType::get(context, 64);
+          return mlir::IntegerAttr::get(int32_type, value);
+        }){};
+  std::function<mlir::IntegerAttr(mlir::MLIRContext *context)> GetAttr;
+
+ private:
+};
+
+class Array::Impl {
+ public:
+  Impl() = default;
+
+ private:
+};
+class Type::Impl {
+ public:
+  Impl() = default;
+
+ private:
+};
+
+// class DenseIntElementsAttr::Impl {
+//  public:
+//   Impl() = default;
+
+//  private:
+// };
+
+}  // namespace builder
+
+#endif

tools/mlir-tblgen-builder/Builder/Builder.cpp

@@ -11,7 +11,7 @@
 
 namespace builder {
 
-Builder::Builder() : _impl(std::make_shared<Impl>()) {}
+Builder::Builder() : impl_(std::make_shared<Impl>()) {}
 void Builder::DumpModule() {}
 
 }  // namespace builder

tools/mlir-tblgen-builder/Builder/Builder.h

@@ -11,10 +11,10 @@ class Builder {
 
   Builder();
   void DumpModule();
-  std::shared_ptr<Impl> GetImpl() { return _impl; }
+  std::shared_ptr<Impl> GetImpl() { return impl_; }
 
  private:
-  std::shared_ptr<Impl> _impl;
+  std::shared_ptr<Impl> impl_;
 };
 }  // namespace builder
 

tools/mlir-tblgen-builder/Builder/Op.h

@@ -0,0 +1,17 @@
+#ifndef BUILDER_OP_
+#define BUILDER_OP_
+
+#include <iostream>
+#include <memory>
+
+namespace builder {
+class Op {
+  class Impl;
+  std::shared_ptr<Impl> GetImpl() { return impl_; }
+
+ private:
+  std::shared_ptr<Impl> impl_;
+}
+}  // namespace builder
+
+#endif

tools/mlir-tblgen-builder/Builder/PrimitiveType.cpp

@@ -0,0 +1,28 @@
+#include "PrimitiveType.h"
+
+#include "Shape.h"
+#include "Tensor.h"
+#include "llvm/Support/Casting.h"
+// #include "mlir/Dialect/StandardOps/Ops.h"
+// #include "mlir/IR/Attributes.h"
+// #include "mlir/IR/Operation.h"
+// #include "mlir/IR/StandardTypes.h"
+#include "mlir/IR/Types.h"
+// #include "mlir/IR/Value.h"
+
+namespace builder {
+
+// constexpr mlir::Type GetMlirType(const PrimitiveType primitiveType) {
+// switch (primitiveType)
+// {
+// case PrimitiveType::BF16 :
+//   return 
+//   break;
+
+// default:
+//   break;
+// }
+
+// }
+
+}  // namespace builder

tools/mlir-tblgen-builder/Builder/PrimitiveType.h

@@ -0,0 +1,29 @@
+#ifndef BUILDER_PRIMITIVE_TYPE_
+#define BUILDER_PRIMITIVE_TYPE_
+
+namespace builder {
+
+enum class PrimitiveType {
+  PRIMITIVE_TYPE_INVALID = 0,
+  PRED = 1,
+  S8 = 2,
+  S16 = 3,
+  S32 = 4,
+  S64 = 5,
+  U8 = 6,
+  U16 = 7,
+  U32 = 8,
+  U64 = 9,
+  F16 = 10,
+  F32 = 11,
+  BF16 = 16,
+  F64 = 12,
+  C64 = 15,
+  C128 = 18,
+  TUPLE = 13,
+  OPAQUE_TYPE = 14,
+  TOKEN = 17
+};
+
+}
+#endif

tools/mlir-tblgen-builder/Builder/Shape.h

@@ -0,0 +1,17 @@
+#ifndef BUILDER_SHAPE_
+#define BUILDER_SHAPE_
+
+#include <iostream>
+#include <memory>
+
+namespace builder {
+class Shape {
+  class Impl;
+  std::shared_ptr<Impl> GetImpl() { return impl_; }
+
+ private:
+  std::shared_ptr<Impl> impl_;
+};
+}  // namespace builder
+
+#endif

tools/mlir-tblgen-builder/Builder/ShapeImpl.h

@@ -0,0 +1,24 @@
+#ifndef BUILDER_SHAPEIMPL_
+#define BUILDER_SHAPEIMPL_
+
+#include "Builder.h"
+#include "llvm/Support/Casting.h"
+#include "mlir/IR/Attributes.h"
+#include "mlir/IR/Builders.h"
+#include "mlir/IR/MLIRContext.h"
+#include "mlir/IR/Operation.h"
+#include "mlir/IR/Types.h"
+#include "mlir/IR/Value.h"
+
+namespace builder {
+
+class Shape::Impl {
+ public:
+  Impl() = default;
+
+ private:
+};
+
+}  // namespace builder
+
+#endif

tools/mlir-tblgen-builder/Builder/Tensor.cpp

@@ -0,0 +1,22 @@
+#include "Tensor.h"
+
+#include "Shape.h"
+#include "TensorImpl.h"
+#include "llvm/Support/Casting.h"
+// #include "mlir/Dialect/StandardOps/Ops.h"
+// #include "mlir/IR/Attributes.h"
+// #include "mlir/IR/Operation.h"
+// #include "mlir/IR/StandardTypes.h"
+// #include "mlir/IR/Types.h"
+// #include "mlir/IR/Value.h"
+
+namespace builder {
+
+// Tensor::Tensor() : impl_(std::make_shared<Impl>()) {}
+Tensor::Tensor(Shape& shape, PrimitiveType& primitiveType)
+    : impl_(std::make_shared<Impl>(shape, primitiveType)) {}
+
+Shape Tensor::GetShape() { return impl_->GetShape(); }
+PrimitiveType Tensor::GetType() { return impl_->GetType(); }
+
+}  // namespace builder

tools/mlir-tblgen-builder/Builder/Tensor.h

@@ -0,0 +1,25 @@
+#ifndef BUILDER_TENSOR_
+#define BUILDER_TENSOR_
+
+#include <iostream>
+#include <memory>
+
+#include "PrimitiveType.h"
+#include "Shape.h"
+
+namespace builder {
+
+class Tensor {
+ public:
+  Tensor(Shape& shape, PrimitiveType& primitiveType);
+  class Impl;
+  std::shared_ptr<Impl> GetImpl() { return impl_; }
+  Shape GetShape();
+  PrimitiveType GetType();
+
+ private:
+  std::shared_ptr<Impl> impl_;
+};
+}  // namespace builder
+
+#endif

tools/mlir-tblgen-builder/Builder/TensorImpl.h

@@ -0,0 +1,32 @@
+#ifndef BUILDER_TENSORIMPL_
+#define BUILDER_TENSORIMPL_
+
+#include "Builder.h"
+#include "PrimitiveType.h"
+#include "Shape.h"
+#include "llvm/Support/Casting.h"
+#include "mlir/IR/Attributes.h"
+#include "mlir/IR/Builders.h"
+#include "mlir/IR/MLIRContext.h"
+#include "mlir/IR/Operation.h"
+#include "mlir/IR/Types.h"
+#include "mlir/IR/Value.h"
+
+namespace builder {
+
+class Tensor::Impl {
+ public:
+  Impl() = default;
+  Impl(Shape& shape, PrimitiveType& primitiveType)
+      : shape_(shape), primitiveType_(primitiveType) {}
+  Shape GetShape() { return shape_; }
+  PrimitiveType GetType() { return primitiveType_; }
+
+ private:
+  Shape shape_;
+  PrimitiveType primitiveType_;
+};
+
+}  // namespace builder
+
+#endif

tools/mlir-tblgen-builder/BuilderDefinitionsGen.cpp

@@ -29,7 +29,7 @@
 #include "llvm/TableGen/Record.h"
 #include "llvm/TableGen/TableGenBackend.h"
 
-#include "iostream"
+#include <iostream>
 
 #define DEBUG_TYPE "mlir-tblgen-opdefgen"
 
@@ -42,28 +42,117 @@ static const char *const generatedArgName = "odsArg";
 static const char *const odsBuilder = "odsBuilder";
 static const char *const builderOpState = "odsState";
 
-static const std::map<std::string, std::string> typeMapMLIR = {
+namespace {
-    {"::mlir::StringAttr", "std::string"},
+struct mlirTypeWrap {
-    {"::mlir::IntegerAttr", "int"},
+  std::string Name;
-    {"::mlir::DenseIntElementsAttr", "std::vector<int>"},
+  std::string (*ConvertToMlir)(std::string &, OpMethodBody &);
-    {"::mlir::mhlo::ChannelHandle", "ChannelHandle"},
-    {"::mlir::FloatAttr", "float"},
-    {"::mlir::BoolAttr", "bool"},
-    {"::mlir::ElementsAttr", "::builder::Array"},
-    {"::mlir::DenseElementsAttr", "::builder::Tensor"},
-    // current only support string array.
-    {"::mlir::ArrayAttr", "std::vector<std::string>"},
-    {"::mlir::mhlo::ConvDimensionNumbers", "::builder::ConvDimensionNumbers"},
-    {"::mlir::mhlo::DotDimensionNumbers", "::builder::DotDimensionNumbers"},
-    {"::mlir::mhlo::GatherDimensionNumbers",
-     "::builder::GatherDimensionNumbers"},
-    {"::mlir::mhlo::ScatterDimensionNumbers",
-     "::builder::ScatterDimensionNumbers"},
 };
 
+static const std::map<std::string, mlirTypeWrap> typeMapMLIR = {
+    {"::mlir::StringAttr",
+     {"std::string",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        body << "  mlir::StringAttr " << var << "_mlir = mlir::StringAttr::get("
+             << var << ", ctx);\n";
+        return var + "_mlir";
+      }}},
+    {"::mlir::IntegerAttr",
+     {"builder::Integer",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        // body << "  mlir::IntegerAttr " << var << "_mlir = mlir::IntegerAttr::get("
+        //      << var << ", ctx);\n";
+        body << "  mlir::IntegerAttr " << var << "_mlir = " << var
+             << ".GetAttr(ctx);\n";
+        return var + "_mlir";
+      }}},
+    {"::mlir::DenseIntElementsAttr",
+     {"std::vector<int>",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        body << "  mlir::DenseIntElementsAttr " << var
+             << "_mlir = mlir::DenseIntElementsAttr::get("
+             << "mlir::VectorType::get(" << var
+             << ".size(), opBuilder->getIntegerType(32))," << var << ");\n";
+        return var + "_mlir";
+      }}},
+    {"::mlir::mhlo::ChannelHandle",
+     {"ChannelHandle",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+    {"::mlir::FloatAttr",
+     {"float",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        body << "  mlir::FloatAttr " << var << "_mlir = mlir::FloatAttr::get("
+             << var << ", ctx);\n";
+        return var + "_mlir";
+      }}},
+    {"::mlir::BoolAttr",
+     {"bool",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        body << "  mlir::BoolAttr " << var << "_mlir = mlir::BoolAttr::get("
+             << var << ", ctx);\n";
+        return var + "_mlir";
+      }}},
+    {"::mlir::ElementsAttr",
+     {"::builder::Array",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+    {"::mlir::DenseElementsAttr",
+     {"::builder::Tensor",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+    // current only support string array.
+    {"::mlir::ArrayAttr",
+     {"std::vector<std::string>",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+    {"::mlir::mhlo::ConvDimensionNumbers",
+     {"::builder::ConvDimensionNumbers",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+    {"::mlir::mhlo::DotDimensionNumbers",
+     {"::builder::DotDimensionNumbers",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+    {"::mlir::mhlo::GatherDimensionNumbers",
+     {"::builder::GatherDimensionNumbers",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+    {"::mlir::mhlo::ScatterDimensionNumbers",
+     {"::builder::ScatterDimensionNumbers",
+      [](std::string &var, OpMethodBody &body) -> std::string {
+        return var + "_mlir";
+      }}},
+};
+
+// static const std::map<std::string, mlirTypeWrap> typeMapMLIR = {
+//     {"::mlir::StringAttr", "std::string"},
+//     {"::mlir::IntegerAttr", "int"},
+//     {"::mlir::DenseIntElementsAttr", "std::vector<int>"},
+//     {"::mlir::mhlo::ChannelHandle", "ChannelHandle"},
+//     {"::mlir::FloatAttr", "float"},
+//     {"::mlir::BoolAttr", "bool"},
+//     {"::mlir::ElementsAttr", "::builder::Array"},
+//     {"::mlir::DenseElementsAttr", "::builder::Tensor"},
+//     // current only support string array.
+//     {"::mlir::ArrayAttr", "std::vector<std::string>"},
+//     {"::mlir::mhlo::ConvDimensionNumbers", "::builder::ConvDimensionNumbers"},
+//     {"::mlir::mhlo::DotDimensionNumbers", "::builder::DotDimensionNumbers"},
+//     {"::mlir::mhlo::GatherDimensionNumbers",
+//      "::builder::GatherDimensionNumbers"},
+//     {"::mlir::mhlo::ScatterDimensionNumbers",
+//      "::builder::ScatterDimensionNumbers"},
+// };
+
 StringRef typeConvertFromMLIR(StringRef type) {
   auto re = typeMapMLIR.find(type.str());
-  if (re != typeMapMLIR.end()) return StringRef(re->second);
+  if (re != typeMapMLIR.end()) return StringRef(re->second.Name);
   return type;
 }
 
@@ -75,6 +164,7 @@ StringRef getReturnType(const Attribute &att) {
   auto type = att.getStorageType();
   return typeConvertFromMLIR(type);
 }
+}  // namespace
 
 // The logic to calculate the actual value range for a declared operand/result
 // of an op with variadic operands/results. Note that this logic is not for
@@ -312,14 +402,6 @@ static std::string getArgumentName(const Operator &op, int index) {
     return std::string(formatv("{0}_{1}", generatedArgName, index));
 }
 
-// Returns true if we can use unwrapped value for the given `attr` in builders.
-static bool canUseUnwrappedRawValue(const tblgen::Attribute &attr) {
-  return getReturnType(attr) != getStorageType(attr) &&
-         // We need to wrap the raw value into an attribute in the builder impl
-         // so we need to make sure that the attribute specifies how to do that.
-         !attr.getConstBuilderTemplate().empty();
-}
-
 //===----------------------------------------------------------------------===//
 // Op emitter
 //===----------------------------------------------------------------------===//
@@ -427,7 +509,7 @@ private:
                       AttrParamKind attrParamKind = AttrParamKind::WrappedAttr);
 
   // Adds op arguments and regions into operation state for build() methods.
-  void genCodeForAddingArgAndRegionForBuilder(OpMethodBody &body,llvm::SmallVector<OpMethodParameter, 4> paramList,
+  void genCodeForAddingArgAndRegionForBuilder(OpMethodBody &body,
                                               bool isRawValueAttr = false);
 
   // Generates canonicalizer declaration for the operation.
@@ -479,7 +561,9 @@ private:
   // Generate the type inference interface methods.
   void genTypeInterfaceMethods();
 
-private:
+  Operator GetOp() { return op; }
+
+ private:
   // The TableGen record for this op.
   // TODO: OpEmitter should not have a Record directly,
   // it should rather go through the Operator for better abstraction.
@@ -1077,27 +1161,6 @@ void OpEmitter::genNamedSuccessorGetters() {
   }
 }
 
-static bool canGenerateUnwrappedBuilder(Operator &op) {
-  // If this op does not have native attributes at all, return directly to avoid
-  // redefining builders.
-  if (op.getNumNativeAttributes() == 0)
-    return false;
-
-  bool canGenerate = false;
-  // We are generating builders that take raw values for attributes. We need to
-  // make sure the native attributes have a meaningful "unwrapped" value type
-  // different from the wrapped mlir::Attribute type to avoid redefining
-  // builders. This checks for the op has at least one such native attribute.
-  for (int i = 0, e = op.getNumNativeAttributes(); i < e; ++i) {
-    NamedAttribute &namedAttr = op.getAttribute(i);
-    if (canUseUnwrappedRawValue(namedAttr.attr)) {
-      canGenerate = true;
-      break;
-    }
-  }
-  return canGenerate;
-}
-
 static bool canInferType(Operator &op) {
   return op.getTrait("::mlir::InferTypeOpInterface::Trait") &&
          op.getNumRegions() == 0;
@@ -1106,18 +1169,14 @@ static bool canInferType(Operator &op) {
 void OpEmitter::genSeparateArgParamBuilder() {
   SmallVector<AttrParamKind, 2> attrBuilderType;
   attrBuilderType.push_back(AttrParamKind::WrappedAttr);
-  // if (canGenerateUnwrappedBuilder(op))
-  //   attrBuilderType.push_back(AttrParamKind::UnwrappedValue);
 
   // Emit with separate builders with or without unwrapped attributes and/or
   // inferring result type.
   auto emit = [&](AttrParamKind attrType, TypeParamKind paramKind,
                   bool inferType) {
     llvm::SmallVector<OpMethodParameter, 4> paramList;
-    llvm::SmallVector<OpMethodParameter, 4> paramList2;
     llvm::SmallVector<std::string, 4> resultNames;
     buildParamList(paramList, resultNames, paramKind, attrType);
-    buildParamList(paramList2, resultNames, paramKind, attrType);
 
     auto *m = opClass.addMethodAndPrune(
         "::builder::Op", "build", OpMethod::MP_Static, std::move(paramList));
@@ -1126,10 +1185,10 @@ void OpEmitter::genSeparateArgParamBuilder() {
       return;
     auto &body = m->body();
     genCodeForAddingArgAndRegionForBuilder(
-        body, paramList2, attrType == AttrParamKind::UnwrappedValue);
+        body, attrType == AttrParamKind::UnwrappedValue);
 
     // Push all result types to the operation state
-//"BBBBBBBBBBBB"
+
   //   if (inferType) {
   //     // Generate builder that infers type too.
   //     // TODO: Subsume this with general checking if type can be
@@ -1306,29 +1365,6 @@ void OpEmitter::buildParamList(SmallVectorImpl<OpMethodParameter> &paramList,
   int numAttrs = 0;
 
   int defaultValuedAttrStartIndex = op.getNumArgs();
-  if (attrParamKind == AttrParamKind::UnwrappedValue) {
-    // Calculate the start index from which we can attach default values in the
-    // builder declaration.
-    for (int i = op.getNumArgs() - 1; i >= 0; --i) {
-      auto *namedAttr = op.getArg(i).dyn_cast<tblgen::NamedAttribute *>();
-      if (!namedAttr || !namedAttr->attr.hasDefaultValue())
-        break;
-
-      if (!canUseUnwrappedRawValue(namedAttr->attr))
-        break;
-
-      // Creating an APInt requires us to provide bitwidth, value, and
-      // signedness, which is complicated compared to others. Similarly
-      // for APFloat.
-      // TODO: Adjust the 'returnType' field of such attributes
-      // to support them.
-      StringRef retType = getReturnType(namedAttr->attr);
-      if (retType == "::llvm::APInt" || retType == "::llvm::APFloat")
-        break;
-
-      defaultValuedAttrStartIndex = i;
-    }
-  }
 
   for (int i = 0, e = op.getNumArgs(); i < e; ++i) {
     auto argument = op.getArg(i);
@@ -1357,10 +1393,10 @@ void OpEmitter::buildParamList(SmallVectorImpl<OpMethodParameter> &paramList,
         type = getStorageType(attr);
         break;
       case AttrParamKind::UnwrappedValue:
-        if (canUseUnwrappedRawValue(attr))
+        // if (canUseUnwrappedRawValue(attr))
-          type = getReturnType(attr);
+        //   type = getReturnType(attr);
-        else
+        // else
-          type = getStorageType(attr);
+        //   type = getStorageType(attr);
         break;
       }
 
@@ -1394,41 +1430,72 @@ void OpEmitter::buildParamList(SmallVectorImpl<OpMethodParameter> &paramList,
                              llvm::formatv("{0}Count", region.name).str());
 }
 
-void OpEmitter::genCodeForAddingArgAndRegionForBuilder(
+void OpEmitter::genCodeForAddingArgAndRegionForBuilder(OpMethodBody &body,
-    OpMethodBody &body, llvm::SmallVector<OpMethodParameter, 4> paramList,
+                                                       bool isRawValueAttr) {
-    bool isRawValueAttr) {
+  auto op = GetOp();
+  auto operands = op.getOperands();
+  auto attrs = op.getAttributes();
+  SmallVector<std::string, 4> newAttrs;
 
-  body << "//    AAAAAA  \n";
+  // for(auto o : operands){
-  // for(auto p : paramList)
+  //   body << "  operands name: "<<o.name<<"  getCPPClassName:"<<o.constraint.getCPPClassName()<<"\n";
-  // {
+  // }
-  // body <<"====  type:"<< p.getType() << "  name:"<< p.getName() <<  "\n";
+  // for(auto a : attrs){
+  //   body << "  attrs name: "<<a.name<<"  type: "<< a.attr.getStorageType().str()<<"\n";
+  //   std::string attrType = a.attr.getStorageType().str();
+  //   auto ff = typeMapMLIR.find(attrType);
+  //   if(ff != typeMapMLIR.end()){
+  //     body << "//    BBBBBB  \n";
+  //     std::string attrName = a.name.str();
+  //     ff->second.ConvertToMlir(attrName,body);
+  //   }
   // }
 
-  body << "  auto builder = builder.GetImpl();\n";
+
-  body << "  auto loc = builder->GetLoc();\n";
+  // body << "//    AAAAAA  \n";
-  body << "  auto opBuilder = builder->GetBuilder();\n";
+  // for(auto p : paramList){
+  //   body << "  AAA type"<<p.getType()<<"  name"<<p.getName()<<"\n";
+  // }
+
+  body << "  auto b = builder.GetImpl();\n";
+  body << "  auto loc = b->GetLoc();\n";
+  body << "  auto opBuilder = b->GetBuilder();\n";
+  body << "  auto ctx = b->GetContext();\n";
+  for (auto a : attrs) {
+    std::string attrType = a.attr.getStorageType().str();
+
+if(attrType == "::mlir::DenseIntElementsAttr")
+{
+  body << "  //  BBBBBBBB  getStorageType:"<< a.attr.getStorageType().str() <<"\n";
+  body << "  //  BBBBBBBB  getReturnType:"<< a.attr.getReturnType().str() <<"\n";
+
+}
+
+
+
+    auto typePair = typeMapMLIR.find(attrType);
+    if (typePair != typeMapMLIR.end()) {
+      std::string attrName = a.name.str();
+      auto mlirName = typePair->second.ConvertToMlir(attrName, body);
+      newAttrs.emplace_back(mlirName);
+    }
+  }
   body << "  mlir::" << op.getDialectName() << "::" << op.getCppClassName()
        << " currentOp =\n";
   body << "    opBuilder.create<mlir::" << op.getDialectName()
        << "::" << op.getDialectName() << ">(\n";
-  if (paramList.size() > 1) {
+  body << "      loc";
-    body << "      loc,\n";
+  std::for_each(operands.begin(), operands.end(), [&](NamedTypeConstraint &v) {
-    std::for_each(paramList.begin() + 1, paramList.end() - 1,
+    body << ",\n      " << v.name << ".getResult()";
-                  [&](OpMethodParameter &p) {
+  });
-                    body << "      " << p.getName() << ",\n";
+  std::for_each(newAttrs.begin(), newAttrs.end(),
-                  });
+                [&](std::string &n) { body << ",\n      " << n; });
-    body << "      " << paramList.back().getName() << "\n";
+  body << "\n    );\n";
-  } else {
-    body << "      loc\n";
-  }
-  body << "    );\n";
   body << "  builder::" << op.getCppClassName() << " builderOp;\n";
   body << "  auto opImpl = builderOp.GetImpl();\n";
   body << "  opImpl.SetOperation(currentOp.getOperation());\n";
   body << "  return builderOp;\n";
 
-  
-
   // // Push all operands to the result.
   // for (int i = 0, e = op.getNumOperands(); i < e; ++i) {
   //   std::string argName = getArgumentName(op, i);
@@ -2079,184 +2146,6 @@ void OpEmitter::genOpAsmInterface() {
   }
 }
 
-//===----------------------------------------------------------------------===//
-// OpOperandAdaptor emitter
-//===----------------------------------------------------------------------===//
-
-namespace {
-// Helper class to emit Op operand adaptors to an output stream.  Operand
-// adaptors are wrappers around ArrayRef<Value> that provide named operand
-// getters identical to those defined in the Op.
-class OpOperandAdaptorEmitter {
-public:
-  static void emitDecl(const Operator &op, raw_ostream &os);
-  static void emitDef(const Operator &op, raw_ostream &os);
-
-private:
-  explicit OpOperandAdaptorEmitter(const Operator &op);
-
-  // Add verification function. This generates a verify method for the adaptor
-  // which verifies all the op-independent attribute constraints.
-  void addVerification();
-
-  const Operator &op;
-  Class adaptor;
-};
-} // end namespace
-
-OpOperandAdaptorEmitter::OpOperandAdaptorEmitter(const Operator &op)
-    : op(op), adaptor(op.getAdaptorName()) {
-  adaptor.newField("::mlir::ValueRange", "odsOperands");
-  adaptor.newField("::mlir::DictionaryAttr", "odsAttrs");
-  adaptor.newField("::mlir::RegionRange", "odsRegions");
-  const auto *attrSizedOperands =
-      op.getTrait("::mlir::OpTrait::AttrSizedOperandSegments");
-  {
-    SmallVector<OpMethodParameter, 2> paramList;
-    paramList.emplace_back("::mlir::ValueRange", "values");
-    paramList.emplace_back("::mlir::DictionaryAttr", "attrs",
-                           attrSizedOperands ? "" : "nullptr");
-    paramList.emplace_back("::mlir::RegionRange", "regions", "{}");
-    auto *constructor = adaptor.addConstructorAndPrune(std::move(paramList));
-
-    constructor->addMemberInitializer("odsOperands", "values");
-    constructor->addMemberInitializer("odsAttrs", "attrs");
-    constructor->addMemberInitializer("odsRegions", "regions");
-  }
-
-  {
-    auto *constructor = adaptor.addConstructorAndPrune(
-        llvm::formatv("{0}&", op.getCppClassName()).str(), "op");
-    constructor->addMemberInitializer("odsOperands", "op->getOperands()");
-    constructor->addMemberInitializer("odsAttrs", "op->getAttrDictionary()");
-    constructor->addMemberInitializer("odsRegions", "op->getRegions()");
-  }
-
-  {
-    auto *m = adaptor.addMethodAndPrune("::mlir::ValueRange", "getOperands");
-    m->body() << "  return odsOperands;";
-  }
-  std::string sizeAttrInit =
-      formatv(adapterSegmentSizeAttrInitCode, "operand_segment_sizes");
-  generateNamedOperandGetters(op, adaptor, sizeAttrInit,
-                              /*rangeType=*/"::mlir::ValueRange",
-                              /*rangeBeginCall=*/"odsOperands.begin()",
-                              /*rangeSizeCall=*/"odsOperands.size()",
-                              /*getOperandCallPattern=*/"odsOperands[{0}]");
-
-  FmtContext fctx;
-  fctx.withBuilder("::mlir::Builder(odsAttrs.getContext())");
-
-  auto emitAttr = [&](StringRef name, Attribute attr) {
-    auto &body = adaptor.addMethodAndPrune(getStorageType(attr), name)->body();
-    body << "  assert(odsAttrs && \"no attributes when constructing adapter\");"
-         << "\n  " << getStorageType(attr) << " attr = "
-         << "odsAttrs.get(\"" << name << "\").";
-    if (attr.hasDefaultValue() || attr.isOptional())
-      body << "dyn_cast_or_null<";
-    else
-      body << "cast<";
-    body << getStorageType(attr) << ">();\n";
-
-    if (attr.hasDefaultValue()) {
-      // Use the default value if attribute is not set.
-      // TODO: this is inefficient, we are recreating the attribute for every
-      // call. This should be set instead.
-      std::string defaultValue = std::string(
-          tgfmt(attr.getConstBuilderTemplate(), &fctx, attr.getDefaultValue()));
-      body << "  if (!attr)\n    attr = " << defaultValue << ";\n";
-    }
-    body << "  return attr;\n";
-  };
-
-  {
-    auto *m =
-        adaptor.addMethodAndPrune("::mlir::DictionaryAttr", "getAttributes");
-    m->body() << "  return odsAttrs;";
-  }
-  for (auto &namedAttr : op.getAttributes()) {
-    const auto &name = namedAttr.name;
-    const auto &attr = namedAttr.attr;
-    if (!attr.isDerivedAttr())
-      emitAttr(name, attr);
-  }
-
-  unsigned numRegions = op.getNumRegions();
-  if (numRegions > 0) {
-    auto *m = adaptor.addMethodAndPrune("::mlir::RegionRange", "getRegions");
-    m->body() << "  return odsRegions;";
-  }
-  for (unsigned i = 0; i < numRegions; ++i) {
-    const auto &region = op.getRegion(i);
-    if (region.name.empty())
-      continue;
-
-    // Generate the accessors for a variadic region.
-    if (region.isVariadic()) {
-      auto *m = adaptor.addMethodAndPrune("::mlir::RegionRange", region.name);
-      m->body() << formatv("  return odsRegions.drop_front({0});", i);
-      continue;
-    }
-
-    auto *m = adaptor.addMethodAndPrune("::mlir::Region &", region.name);
-    m->body() << formatv("  return *odsRegions[{0}];", i);
-  }
-
-  // Add verification function.
-  addVerification();
-}
-
-void OpOperandAdaptorEmitter::addVerification() {
-  auto *method = adaptor.addMethodAndPrune("::mlir::LogicalResult", "verify",
-                                           "::mlir::Location", "loc");
-  auto &body = method->body();
-
-  const char *checkAttrSizedValueSegmentsCode = R"(
-  {
-    auto sizeAttr = odsAttrs.get("{0}").cast<::mlir::DenseIntElementsAttr>();
-    auto numElements = sizeAttr.getType().cast<::mlir::ShapedType>().getNumElements();
-    if (numElements != {1})
-      return emitError(loc, "'{0}' attribute for specifying {2} segments "
-                       "must have {1} elements, but got ") << numElements;
-  }
-  )";
-
-  // Verify a few traits first so that we can use
-  // getODSOperands()/getODSResults() in the rest of the verifier.
-  for (auto &trait : op.getTraits()) {
-    if (auto *t = dyn_cast<tblgen::NativeTrait>(&trait)) {
-      if (t->getFullyQualifiedTraitName() ==
-          "::mlir::OpTrait::AttrSizedOperandSegments") {
-        body << formatv(checkAttrSizedValueSegmentsCode,
-                        "operand_segment_sizes", op.getNumOperands(),
-                        "operand");
-      } else if (t->getFullyQualifiedTraitName() ==
-                 "::mlir::OpTrait::AttrSizedResultSegments") {
-        body << formatv(checkAttrSizedValueSegmentsCode, "result_segment_sizes",
-                        op.getNumResults(), "result");
-      }
-    }
-  }
-
-  FmtContext verifyCtx;
-  populateSubstitutions(op, "odsAttrs.get", "getODSOperands",
-                        "<no results should be generated>", verifyCtx);
-  genAttributeVerifier(op, "odsAttrs.get",
-                       Twine("emitError(loc, \"'") + op.getOperationName() +
-                           "' op \"",
-                       /*emitVerificationRequiringOp*/ false, verifyCtx, body);
-
-  body << "  return ::mlir::success();";
-}
-
-void OpOperandAdaptorEmitter::emitDecl(const Operator &op, raw_ostream &os) {
-  OpOperandAdaptorEmitter(op).adaptor.writeDeclTo(os);
-}
-
-void OpOperandAdaptorEmitter::emitDef(const Operator &op, raw_ostream &os) {
-  OpOperandAdaptorEmitter(op).adaptor.writeDefTo(os);
-}
-
 // Emits the opcode enum and op classes.
 static void emitOpClasses(const RecordKeeper &recordKeeper,
                           const std::vector<Record *> &defs, raw_ostream &os,
@@ -2286,11 +2175,9 @@ static void emitOpClasses(const RecordKeeper &recordKeeper,
     NamespaceEmitter emitter(os, op.getCppNamespace());
     if (emitDecl) {
       // os << formatv(opCommentHeader, op.getQualCppClassName(), "declarations");
-      // OpOperandAdaptorEmitter::emitDecl(op, os);
       OpEmitter::emitDecl(op, os, staticVerifierEmitter);
     } else {
       // os << formatv(opCommentHeader, op.getQualCppClassName(), "definitions");
-      // OpOperandAdaptorEmitter::emitDef(op, os);
       OpEmitter::emitDef(op, os, staticVerifierEmitter);
     }
   }

tools/mlir-tblgen-builder/Op.h

@@ -1,16 +0,0 @@
-#ifndef BUILDER_OP_
-#define BUILDER_OP_
-
-#include "iostream"
-
-namespace builder {
-class Op {
-  class Impl;
-  std::shared_ptr<Impl> GetImpl() { return _impl; }
-
- private:
-  std::shared_ptr<Impl> _impl;
-}
-}  // namespace builder
-
-#endif

tools/mlir-tblgen-builder/Tensor.h

@@ -1,16 +0,0 @@
-#ifndef BUILDER_TENSOR_
-#define BUILDER_TENSOR_
-
-
-#include "iostream"
-
-namespace builder{
-  class Tensor{
-  }
-}
-
-
-
-
-
-#endif

tools/mlir-tblgen-builder/Type.h

@@ -1,10 +0,0 @@
-#ifndef BUILDER_TYPE_
-#define BUILDER_TYPE_
-
-#include "iostream"
-
-namespace builder {
-class Type {}
-}  // namespace builder
-
-#endif