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#ifndef TIM_LAYOUT_INFER_STACK_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_STACK_LAYOUT_INFERENCE_H_

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

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

namespace tim {
namespace transform {
class StackLayoutInfer : public OpLayoutInfer {
 public:
  StackLayoutInfer(
      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_inputs = op_->impl()->InputsTensor();
    std::shared_ptr<tim::vx::Tensor> normal_input;
    int input_cnt=0;
    for(; src_inputs[input_cnt]->IsConstTensor(); ++input_cnt);
    normal_input = src_inputs[input_cnt];
    auto input_pv = context_->GetPermuteVector(src_inputs[input_cnt]);
    int32_t axis = op_->impl()->node()->nn_param.stack.axis;
    auto stack = context_->infer_graph_->CreateOperation<vx::ops::Stack>(
        axis, op_->impl()->input_cnt_);
    auto aligninput_pv = AlignPermuteVectorForMutilInputs();

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

    if (axis < 0) {
      axis += normal_input->GetShape().size();
    }

    auto output_pv = MakeShared(input_pv->Rank() + 1);
    if (!input_pv->IsAligned()) {
      output_pv->At(axis) = (uint32_t)axis;
      for (uint32_t i = 0, j = 0; i < input_pv->Rank(); ++i, ++j) {
        if ((uint32_t)axis == i) {
          ++j;
        }
        if (input_pv->At(i) < (uint32_t)axis) {
          output_pv->At(j) = input_pv->At(i);
        } else {
          output_pv->At(j) = input_pv->At(i) + 1;
        }
      }
    }

    auto out_infer = CreateOutputsTensor(output_pv);
    (*stack).BindOutput(out_infer[0]);
    context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], output_pv);
    // Add out tensor of src_graph into next_tensor
    next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
  }
};

}  // namespace transform
}  // namespace tim

#endif