avg_pool2d.h

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#ifndef INFINI_OPS_BASE_AVG_POOL2D_H_
#define INFINI_OPS_BASE_AVG_POOL2D_H_
 
#include <optional>
#include <vector>
 
#include "operator.h"
 
namespace infini::ops {
 
class AvgPool2d : public Operator<AvgPool2d> {
 public:
  AvgPool2d(const Tensor input, const std::vector<int64_t> kernel_size,
            const std::vector<int64_t> stride,
            const std::vector<int64_t> padding, const bool ceil_mode,
            const bool count_include_pad,
            const std::optional<int64_t> divisor_override, Tensor out)
      : input_shape_{input.shape()},
        input_strides_{input.strides()},
        input_type_{input.dtype()},
        out_shape_{out.shape()},
        out_strides_{out.strides()},
        out_type_{out.dtype()},
        kernel_size_{kernel_size},
        stride_{stride},
        padding_{padding},
        ceil_mode_{ceil_mode},
        count_include_pad_{count_include_pad},
        divisor_override_{divisor_override},
        device_index_{out.device().index()} {}
 
  virtual void operator()(const Tensor input,
                          const std::vector<int64_t> kernel_size,
                          const std::vector<int64_t> stride,
                          const std::vector<int64_t> padding,
                          const bool ceil_mode, const bool count_include_pad,
                          const std::optional<int64_t> divisor_override,
                          Tensor out) const = 0;
 
 protected:
  Tensor::Shape input_shape_;
 
  Tensor::Strides input_strides_;
 
  DataType input_type_;
 
  Tensor::Shape out_shape_;
 
  Tensor::Strides out_strides_;
 
  DataType out_type_;
 
  std::vector<int64_t> kernel_size_{};
 
  std::vector<int64_t> stride_{};
 
  std::vector<int64_t> padding_{};
 
  bool ceil_mode_{};
 
  bool count_include_pad_{};
 
  std::optional<int64_t> divisor_override_{};
 
  int device_index_{0};
};
 
}  // namespace infini::ops
 
#endif