argsort.h

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#ifndef INFINI_OPS_BASE_ARGSORT_H_
#define INFINI_OPS_BASE_ARGSORT_H_
 
#include "operator.h"
 
namespace infini::ops {
 
class Argsort : public Operator<Argsort> {
 public:
  Argsort(const Tensor input, const int64_t dim, const bool descending,
          const bool stable, 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()},
        stable_{stable},
        dim_{dim},
        descending_{descending},
        device_index_{out.device().index()} {}
 
  [[deprecated("Use the PyTorch-compatible parameter order instead.")]]
  Argsort(const Tensor input, const bool stable, const int64_t dim,
          const bool descending, Tensor out)
      : Argsort{input, dim, descending, stable, out} {}
 
  void operator()(const Tensor input, const int64_t dim, const bool descending,
                  const bool stable, Tensor out) const {
    (*this)(input, stable, dim, descending, out);
  }
 
  [[deprecated("Use the PyTorch-compatible parameter order instead.")]]
  virtual void operator()(const Tensor input, const bool stable,
                          const int64_t dim, const bool descending,
                          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_;
 
  bool stable_{};
 
  int64_t dim_{};
 
  bool descending_{};
 
  int device_index_{0};
};
 
}  // namespace infini::ops
 
#endif