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#ifndef TIM_LAYOUT_INFER_GATHER_ND_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_GATHER_ND_LAYOUT_INFERENCE_H_

#include "ops/op_layout_inference.h"
#include "builtin_op_impl.h"
#include "tim/vx/ops/gathernd.h"

namespace tim {
namespace transform {
class GatherNdLayoutInfer : public OpLayoutInfer {
 public:
  GatherNdLayoutInfer(
      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 {
    ReverseInputsPermuteVector();
    uint32_t input_rank = op_->impl()->InputsTensor()[0]->GetShape().size();
    uint32_t position_rank = op_->impl()->InputsTensor()[1]->GetShape().size();
    uint32_t indices_rank = op_->impl()->InputsTensor()[1]->GetShape()[0];
    int32_t output_rank = input_rank + position_rank - indices_rank - 1;

    auto gather = context_->infer_graph_->CreateOperation<vx::ops::GatherNd>();
    for (const auto& i_src : op_->impl()->InputsTensor()) {
      (*gather).BindInput(context_->GetMapedTensor(i_src));
    }
    auto infer_out = CreateOutputsTensor(
        context_->GetPermuteVector(op_->impl()->InputsTensor()[0]));
    (*gather).BindOutput(infer_out[0]);
    auto output_pv = MakeShared(output_rank);
    context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], output_pv);
    next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
  }
};
}  // namespace transform
}  // namespace tim
#endif