InfiniTensor/include/operators/reduce.h

#pragma once
#include "core/operator.h"

namespace infini {
/**
 * @brief Compute the reduction of input tensor's elements along certain axes.
 *
 */
class ReduceBaseObj : public OperatorObj {
  protected:
    set<int> axes; // axis to reduce
    bool keepDims;

  public:
    /**
     * @brief Construct a new Reduce object.
     *
     * @param graph The computation graph that this operator belongs to.
     * @param opType The operation type. Should be a Reduce operation.
     * @param input The input tensor.
     * @param output The output tensor.
     * @param axes Axes to reduce.
     * @param keepDims Keep the reduced dimensions or not.
     */
    ReduceBaseObj(GraphObj *graph, OpType opType, Tensor input, Tensor output,
                  const optional<vector<int>> &axes, bool keepDims);
    virtual ~ReduceBaseObj() {}
    OP_CLONE(ReduceBaseObj);
    optional<vector<Shape>> inferShape(const TensorVec &inputs) override;

    std::string toString() const override;
    int numInputs() const override { return 1; }
    int numOutputs() const override { return 1; }

    bool isReduced(int idx) const;
    const set<int> &getAxes() const { return axes; }
    bool getKeepDims() const { return keepDims; }

  private:
    vector<int> getWorkloadVector() const override;
    vector<int> getOpAttrVector() const override;
};

class ReduceMeanObj : public ReduceBaseObj {
  public:
    ReduceMeanObj(GraphObj *graph, Tensor input, Tensor output,
                  const optional<vector<int>> &axes, bool keepDims = true);
};

class ReduceSumObj : public ReduceBaseObj {
  public:
    ReduceSumObj(GraphObj *graph, Tensor input, Tensor output,
                 const optional<vector<int>> &axes, bool keepDims = true);
};
} // namespace infini