/* 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 "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tfrt/analysis/cost_analysis.h"

namespace tensorflow {
namespace tfrt_compiler {

class TestCostAnalysis
    : public mlir::PassWrapper<TestCostAnalysis,
                               mlir::OperationPass<mlir::func::FuncOp>> {
  llvm::StringRef getArgument() const final {
    return "tfrt-test-cost-analysis";
  }
  llvm::StringRef getDescription() const final {
    return "Add remarks based on cost analysis for testing purpose.";
  }
  void runOnOperation() override {
    const auto& cost_analysis = getAnalysis<CostAnalysis>();

    auto func_op = getOperation();
    int64_t op_key = 0;
    for (auto& op : func_op.front()) {
      op.emitRemark() << "Cost: " << cost_analysis.GetCost(&op, op_key++);
    }
  }
};

static mlir::PassRegistration<TestCostAnalysis> pass;

}  // namespace tfrt_compiler
}  // namespace tensorflow
