TIM-VX/src/tim/transform/ops/pool2d_layout_inference.h

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#ifndef TIM_LAYOUT_INFER_POOL2D_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_POOL2D_LAYOUT_INFERENCE_H_

#include "ops/op_layout_inference.h"
#include "permute_vector.h"
#include "direct_map_op_impl.h"
#include "tim/vx/ops/pool2d.h"

namespace tim {
namespace transform {
class Pool2dLayoutInfer : public OpLayoutInfer {
 public:
  Pool2dLayoutInfer(
      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 {
    vx::DataLayout layout = op_->impl()->layout_;
    auto required_pv = MakeShared(4);
    if (layout == vx::DataLayout::CWHN) {
      required_pv = std::make_shared<PermuteVector<4>>(kCWHN2WHCN);
    }
    auto input_tensors = op_->impl()->InputsTensor();

    auto pv = context_->GetPermuteVector(input_tensors[0]);
    auto final_pv = pv->Reverse()->Add(required_pv);
    if (!final_pv->IsAligned()) {
      auto perm_out =
          InsertPermute(context_->GetMapedTensor(input_tensors[0]), final_pv);
      context_->UpdateTensorMap(input_tensors[0], perm_out);
      context_->SetPermuteVector(input_tensors[0], required_pv);
    }

    auto pool_type = TranslatePoolType(op_->impl()->node()->nn_param.pool.type);
    auto round_type =
        TranslateRoundType(op_->impl()->node()->nn_param.pool.round_type);
    auto pad_type =
        TranslatePadType(op_->impl()->node()->nn_param.pool.pad_type);
    std::array<uint32_t, 2> ksize = {
        op_->impl()->node()->nn_param.pool.ksize[0],
        op_->impl()->node()->nn_param.pool.ksize[1]};
    std::array<uint32_t, 2> stride = {
        op_->impl()->node()->nn_param.pool.stride[0],
        op_->impl()->node()->nn_param.pool.stride[1]};

    auto pool2d = context_->infer_graph_->CreateOperation<vx::ops::Pool2d>(
        pool_type, pad_type, ksize, stride, round_type, vx::DataLayout::WHCN);
    auto otensor_infer = CreateOutputsTensor(required_pv);
    (*pool2d).BindInput(context_->GetMapedTensor(input_tensors[0]));
    (*pool2d).BindOutput(otensor_infer[0]);
    context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], required_pv);
    // Add out tensor of src_graph into next_tensor
    next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
  }
};

}  // namespace transform
}  // namespace tim

#endif