/**
 * Copyright 2023 Huawei Technologies Co., Ltd
 *
 * 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 "akg/Dialect/GPU/Transforms/LoadAxisInfo.h"
#include <deque>

#include "akg/Utils/AKGGlobalVars.hpp"

#include "llvm/Pass.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/Value.h"

namespace mlir {
#define GEN_PASS_DEF_LOADAXISINFO
#define GEN_PASS_DECL_LOADAXISINFO
#include "akg/Dialect/GPU/Passes.h.inc"
}  // namespace mlir

using namespace akgglobal;
namespace mlir {
namespace gpu {

namespace {
struct LoadAxisInfoPass : public impl::LoadAxisInfoBase<LoadAxisInfoPass> {
  LoadAxisInfoPass() {}
  void runOnOperation() override { GpuScheduleTool::getInstance().tagLoopWithAxisName(getOperation()); }
};
}  // namespace
}  // namespace gpu
}  // namespace mlir

std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>> mlir::createLoadAxisInfoPass() {
  return std::make_unique<gpu::LoadAxisInfoPass>();
}