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#ifndef TIM_LAYOUT_INFER_DEFAULT_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_DEFAULT_LAYOUT_INFERENCE_H_

#include "tim/vx/ops/reshape.h"
#include "tim/vx/ops/nbg.h"
#include "tim/vx/ops/transpose.h"
#include "tim/vx/ops/batchnorm.h"
#include "tim/vx/ops/clip.h"


#include "ops/op_layout_inference.h"
#include "permute_vector.h"
#include "operation_private.h"

namespace tim {
namespace transform {

class DefaultLayoutInfer : public OpLayoutInfer {
 public:
  DefaultLayoutInfer(
      const std::shared_ptr<vx::Operation> op,
      std::shared_ptr<layout_inference_impl::LayoutInferContext>& context)
      : OpLayoutInfer(op, context) {}

  // reverse any applied permute on it's input tensor
  void OnInputs(
      std::vector<std::shared_ptr<vx::Tensor>>& next_tensors) override {
    ReverseInputsPermuteVector();

    auto cloned_op = op_->Clone(context_->infer_graph_);

    for (const auto& i_src : op_->impl()->InputsTensor()) {
      (*cloned_op).BindInput(context_->GetMapedTensor(i_src));
    }

    std::vector<std::shared_ptr<IPermuteVector>> required_pv_lst;
    for (auto out_tensor: op_->impl()->OutputsTensor()) {
      required_pv_lst.push_back(MakeShared(out_tensor->GetShape().size()));
    }
    auto out_infer = CreateOutputsTensor(required_pv_lst);

    (*cloned_op).BindOutputs(out_infer);
    uint32_t i = 0;
    for (auto out_tensor : op_->impl()->OutputsTensor()) {
      context_->SetPermuteVector(out_tensor, required_pv_lst[i++]);
      next_tensors.push_back(out_tensor);
    }
  }
};

}  // namespace transform
}  // namespace tim

#endif