text: /* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
  
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at
  
      http://www.apache.org/licenses/LICENSE-2.0
  
  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License.
  ==============================================================================*/
  
  #include <memory>
  
  #include "llvm/ADT/ArrayRef.h"
  #include "llvm/ADT/SmallVector.h"
  #include "llvm/Support/Casting.h"
  #include "llvm/Support/raw_ostream.h"
  #include "mlir/Dialect/StandardOps/IR/Ops.h"  // from @llvm-project
  #include "mlir/IR/Attributes.h"  // from @llvm-project
  #include "mlir/IR/Builders.h"  // from @llvm-project
  #include "mlir/IR/BuiltinOps.h"  // from @llvm-project
  #include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
  #include "mlir/IR/Value.h"  // from @llvm-project
  #include "mlir/Pass/Pass.h"  // from @llvm-project
  #include "mlir/Pass/PassRegistry.h"  // from @llvm-project
  #include "mlir/Support/LLVM.h"  // from @llvm-project
  #include "mlir/Support/LogicalResult.h"  // from @llvm-project
  #include "mlir/Transforms/GreedyPatternRewriteDriver.h"  // from @llvm-project
  #include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
  #include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/nnapi_hardware.h"
  #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
  #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
  
  namespace mlir {
  namespace TFL {
  namespace tac {
  namespace {
  
  struct DeviceTransformNNAPIPass
      : public mlir::PassWrapper<DeviceTransformNNAPIPass, FunctionPass> {
    llvm::StringRef getArgument() const final {
      return "tfl-device-transform-nnapi";
    }
    llvm::StringRef getDescription() const final {
      return "Suitable transformation for nnapi only.";
    }
    void getDependentDialects(DialectRegistry& registry) const override {
      registry.insert<TF::TensorFlowDialect>();
    }
    void runOnFunction() override;
  };
  
  void DeviceTransformNNAPIPass::runOnFunction() {
    auto func = getFunction();
    auto* ctx = &getContext();
    NNAPIHardware nnapi_hardware;
    OwningRewritePatternList patterns = nnapi_hardware.GetTransformations(ctx);
    (void)applyPatternsAndFoldGreedily(func, std::move(patterns));
  }
  
  }  // namespace
  
  static PassRegistration<DeviceTransformNNAPIPass> pass;
  
  }  // namespace tac
  }  // namespace TFL
  }  // namespace mlir
  