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

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#ifndef TIM_LAYOUT_INFER_LOGICAL_OPS_LAYOUT_INFERENCE_H_
#define TIM_LAYOUT_INFER_LOGICAL_OPS_LAYOUT_INFERENCE_H_

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

namespace tim {
namespace transform {
template <typename OpTpye>
class LogicalOpsLayoutInfer : public OpLayoutInfer {
 public:
  LogicalOpsLayoutInfer(
      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 required_pv = AlignPermuteVectorForMutilInputs();
    auto infer_out = CreateOutputsTensor(required_pv);
    auto logical_op = context_->infer_graph_->CreateOperation<OpTpye>();
    for (const auto& i_src : op_->impl()->InputsTensor()) {
      (*logical_op).BindInput(context_->GetMapedTensor(i_src));
    }
    (*logical_op).BindOutput(infer_out[0]);

    context_->SetPermuteVector(op_->impl()->OutputsTensor()[0], required_pv);
    next_tensors.push_back(op_->impl()->OutputsTensor()[0]);
  }
};

using LogicalAndLayoutInfer = LogicalOpsLayoutInfer<vx::ops::LogicalAnd>;
using LogicalOrLayoutInfer = LogicalOpsLayoutInfer<vx::ops::LogicalOr>;

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