upsample_linear1d_backward.h

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#ifndef INFINI_OPS_BASE_UPSAMPLE_LINEAR1D_BACKWARD_H_
#define INFINI_OPS_BASE_UPSAMPLE_LINEAR1D_BACKWARD_H_
 
#include <optional>
#include <vector>
 
#include "operator.h"
 
namespace infini::ops {
 
class UpsampleLinear1dBackward : public Operator<UpsampleLinear1dBackward> {
 public:
  UpsampleLinear1dBackward(const Tensor grad_output,
                           const std::vector<int64_t> output_size,
                           const std::vector<int64_t> input_size,
                           const bool align_corners,
                           const std::optional<double> scales,
                           Tensor grad_input)
      : grad_output_shape_{grad_output.shape()},
        grad_output_strides_{grad_output.strides()},
        grad_output_type_{grad_output.dtype()},
        grad_input_shape_{grad_input.shape()},
        grad_input_strides_{grad_input.strides()},
        grad_input_type_{grad_input.dtype()},
        output_size_{output_size},
        input_size_{input_size},
        align_corners_{align_corners},
        scales_{scales},
        device_index_{grad_input.device().index()} {}
 
  virtual void operator()(const Tensor grad_output,
                          const std::vector<int64_t> output_size,
                          const std::vector<int64_t> input_size,
                          const bool align_corners,
                          const std::optional<double> scales,
                          Tensor grad_input) const = 0;
 
 protected:
  Tensor::Shape grad_output_shape_;
 
  Tensor::Strides grad_output_strides_;
 
  DataType grad_output_type_;
 
  Tensor::Shape grad_input_shape_;
 
  Tensor::Strides grad_input_strides_;
 
  DataType grad_input_type_;
 
  std::vector<int64_t> output_size_{};
 
  std::vector<int64_t> input_size_{};
 
  bool align_corners_{};
 
  std::optional<double> scales_{};
 
  int device_index_{0};
};
 
}  // namespace infini::ops
 
#endif