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#ifndef TIM_LAYOUT_INFER_SQUEEZE_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_SQUEEZE_LAYOUT_INFERENCE_H_

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

#include "src/tim/layout_infer/ops/op_layout_inference.h"
#include "src/tim/layout_infer/permute_vector.h"
#include "src/tim/vx/operation_private.h"

namespace tim {
namespace transform {
class SqueezeLayoutInfer : public OpLayoutInfer {
 public:
  SqueezeLayoutInfer(
      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();
    std::vector<uint32_t> axis;
    for (uint32_t i = 0; i < op_->impl()->node()->nn_param.squeeze.axis_num;
         i++) {
      axis.push_back(op_->impl()->node()->nn_param.squeeze.axis[i]);
    }
    auto squeeze =
        context_->infer_graph_->CreateOperation<vx::ops::Squeeze>(axis);
    (*squeeze).BindInput(
        context_->GetMapedTensor(op_->impl()->InputsTensor()[0]));

    auto required_pv =
        MakeShared(op_->impl()->OutputsTensor()[0]->GetShape().size());
    auto out_infer = CreateOutputsTensor(required_pv);
    (*squeeze).BindOutput(out_infer[0]);
    context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], required_pv);
    next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
  }
};

}  // namespace transform
}  // namespace tim

#endif