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#ifndef TIM_LAYOUT_INFER_TRANSPOSE_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_TRANSPOSE_LAYOUT_INFERENCE_H_

#include "tim/vx/ops/transpose.h"

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

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

  void OnInputs(
      std::vector<std::shared_ptr<vx::Tensor>>& next_tensors) override {
    auto src_input = op_->impl()->InputsTensor()[0];
    auto infer_input = context_->GetMapedTensor(src_input);
    auto input_pv = context_->GetPermuteVector(src_input);

    std::vector<uint32_t> perm(op_->impl()->node()->nn_param.permute.dim_num);
    memcpy(perm.data(), op_->impl()->node()->nn_param.permute.perm,
           op_->impl()->node()->nn_param.permute.dim_num * sizeof(uint32_t));
    IPermuteVectorPtr perm_pv = MakeShared(perm.size());
    for (uint32_t i = 0; i < perm.size(); i++) {
      perm_pv->At(i) = perm[i];
    }

    IPermuteVectorPtr final_pv = input_pv->Reverse()->Add(perm_pv);

    if (final_pv->IsAligned()) {
      //skip transpose op by treating its input as its output.
      context_->UpdateTensorMap(op_->impl()->OutputsTensor()[0], infer_input);
    } else {
      auto transpose_op =
          context_->infer_graph_->CreateOperation<tim::vx::ops::Transpose>(
              final_pv->AsStdVec());
      transpose_op->BindInput(infer_input);
      auto infer_out = CreateOutputsTensor(final_pv);
      transpose_op->BindOutput(infer_out[0]);
    }
    context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], MakeShared(perm.size()));
    next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
  }
};

}  // namespace transform
}  // namespace tim
#endif