#pragma once

#include "core/operator.h"

namespace infini {
/**
 * @brief Change the shape of the input tensor.
 *
 */
class ReshapeObj : public OperatorObj {
    Shape dims;

  public:
    /**
     * @brief Construct a new Reshape object.
     *
     * @param graph The computation graph that this operator belongs to.
     * @param input The input tensor.
     * @param output The output tensor.
     * @param dims The shape of the output tensor.
     */
    ReshapeObj(GraphObj *graph, Tensor input, Tensor output, Shape dims);
    OP_CLONE(ReshapeObj);

    optional<vector<Shape>> inferShape(const TensorVec &inputs) const override;

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

    inline Shape getShape() const { return dims; }

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

/**
 * @brief Reshape the input tensor into a one-dimensional tensor.
 * FIXME: Move to an independent file.
 * FIXME: Different parameter list with ONNX and Pytorch.
 *
 */
class FlattenObj : public OperatorObj {
    int axis;

  public:
    /**
     * @brief Construct a new Flatten object.
     *
     * @param graph The computation graph that this operator belongs to.
     * @param input The input tensor.
     * @param output The output one-dimensional tensor.
     */
    FlattenObj(GraphObj *graph, Tensor input, Tensor output, int axis);
    OP_CLONE(FlattenObj);

    optional<vector<Shape>> inferShape(const TensorVec &inputs) const override;

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

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

/**
 * @brief Copy the input tensor.
 * FIXME: Move to an independent file.
 *
 */
class IdentityObj : public OperatorObj {

  public:
    /**
     * @brief Construct a new Identity object.
     *
     * @param graph The computation graph that this operator belongs to.
     * @param input The input tensor.
     * @param output The output tensor, which is the same as the input tensor.
     */
    IdentityObj(GraphObj *graph, Tensor input, Tensor output);
    OP_CLONE(IdentityObj);

    optional<vector<Shape>> inferShape(const TensorVec &inputs) const override;

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

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

} // namespace infini