multi_margin_loss.h

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#ifndef INFINI_OPS_BASE_MULTI_MARGIN_LOSS_H_
#define INFINI_OPS_BASE_MULTI_MARGIN_LOSS_H_
 
#include <optional>
#include <string>
 
#include "common/op_utils/reduction.h"
#include "operator.h"
 
namespace infini::ops {
 
class MultiMarginLoss : public Operator<MultiMarginLoss> {
 public:
  MultiMarginLoss(const Tensor input, const Tensor target,
                  const std::optional<Tensor> weight, const int64_t p,
                  const double margin, const std::optional<bool> size_average,
                  const std::optional<bool> reduce, const std::string reduction,
                  Tensor out)
      : input_shape_{input.shape()},
        input_strides_{input.strides()},
        input_type_{input.dtype()},
        target_shape_{target.shape()},
        target_strides_{target.strides()},
        target_type_{target.dtype()},
        out_shape_{out.shape()},
        out_strides_{out.strides()},
        out_type_{out.dtype()},
        has_weight_{weight.has_value()},
        weight_shape_{weight ? Tensor::Shape{weight->shape()}
                             : Tensor::Shape{}},
        weight_strides_{weight ? Tensor::Strides{weight->strides()}
                               : Tensor::Strides{}},
        weight_type_{weight ? weight->dtype() : DataType::kFloat32},
        p_{static_cast<double>(p)},
        margin_{margin},
        reduction_{reduction_detail::FromPythonArguments(size_average, reduce,
                                                         reduction)},
        device_index_{out.device().index()} {}
 
  [[deprecated(
      "Use the overload with `weight` before integer `p` and string "
      "`reduction`.")]]
  MultiMarginLoss(const Tensor input, const Tensor target, const double p,
                  const double margin, const std::optional<Tensor> weight,
                  const int64_t reduction, Tensor out)
      : input_shape_{input.shape()},
        input_strides_{input.strides()},
        input_type_{input.dtype()},
        target_shape_{target.shape()},
        target_strides_{target.strides()},
        target_type_{target.dtype()},
        out_shape_{out.shape()},
        out_strides_{out.strides()},
        out_type_{out.dtype()},
        has_weight_{weight.has_value()},
        weight_shape_{weight ? Tensor::Shape{weight->shape()}
                             : Tensor::Shape{}},
        weight_strides_{weight ? Tensor::Strides{weight->strides()}
                               : Tensor::Strides{}},
        weight_type_{weight ? weight->dtype() : DataType::kFloat32},
        p_{p},
        margin_{margin},
        reduction_{reduction},
        device_index_{out.device().index()} {}
 
  void operator()(const Tensor input, const Tensor target,
                  const std::optional<Tensor> weight, const int64_t p,
                  const double margin, const std::optional<bool> size_average,
                  const std::optional<bool> reduce, const std::string reduction,
                  Tensor out) const {
    return operator()(
        input, target, static_cast<double>(p), margin, weight,
        reduction_detail::FromPythonArguments(size_average, reduce, reduction),
        out);
  }
 
  [[deprecated(
      "Use the overload with `weight` before integer `p` and string "
      "`reduction`.")]]
  virtual void operator()(const Tensor input, const Tensor target,
                          const double p, const double margin,
                          const std::optional<Tensor> weight,
                          const int64_t reduction, Tensor out) const = 0;
 
 protected:
  Tensor::Shape input_shape_;
 
  Tensor::Strides input_strides_;
 
  DataType input_type_;
 
  Tensor::Shape target_shape_;
 
  Tensor::Strides target_strides_;
 
  DataType target_type_;
 
  Tensor::Shape out_shape_;
 
  Tensor::Strides out_strides_;
 
  DataType out_type_;
 
  bool has_weight_{false};
 
  Tensor::Shape weight_shape_;
 
  Tensor::Strides weight_strides_;
 
  DataType weight_type_{DataType::kFloat32};
 
  double p_{};
 
  double margin_{};
 
  int64_t reduction_{};
 
  int device_index_{0};
};
 
}  // namespace infini::ops
 
#endif