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| 1 | +#ifndef INFINI_OPS_BASE_MULTI_MARGIN_LOSS_H_ |
| 2 | +#define INFINI_OPS_BASE_MULTI_MARGIN_LOSS_H_ |
| 3 | + |
| 4 | +#include "operator.h" |
| 5 | + |
| 6 | +namespace infini::ops { |
| 7 | + |
| 8 | +class MultiMarginLoss : public Operator<MultiMarginLoss> { |
| 9 | + public: |
| 10 | + MultiMarginLoss(const Tensor input, const Tensor target, const double p, |
| 11 | + const double margin, const int64_t reduction, Tensor out) |
| 12 | + : input_shape_{input.shape()}, |
| 13 | + input_strides_{input.strides()}, |
| 14 | + input_type_{input.dtype()}, |
| 15 | + target_shape_{target.shape()}, |
| 16 | + target_strides_{target.strides()}, |
| 17 | + target_type_{target.dtype()}, |
| 18 | + out_shape_{out.shape()}, |
| 19 | + out_strides_{out.strides()}, |
| 20 | + out_type_{out.dtype()}, |
| 21 | + p_{p}, |
| 22 | + margin_{margin}, |
| 23 | + reduction_{reduction}, |
| 24 | + device_index_{out.device().index()} {} |
| 25 | + |
| 26 | + virtual void operator()(const Tensor input, const Tensor target, |
| 27 | + const double p, const double margin, |
| 28 | + const int64_t reduction, Tensor out) const = 0; |
| 29 | + |
| 30 | + protected: |
| 31 | + Tensor::Shape input_shape_; |
| 32 | + |
| 33 | + Tensor::Strides input_strides_; |
| 34 | + |
| 35 | + DataType input_type_; |
| 36 | + |
| 37 | + Tensor::Shape target_shape_; |
| 38 | + |
| 39 | + Tensor::Strides target_strides_; |
| 40 | + |
| 41 | + DataType target_type_; |
| 42 | + |
| 43 | + Tensor::Shape out_shape_; |
| 44 | + |
| 45 | + Tensor::Strides out_strides_; |
| 46 | + |
| 47 | + DataType out_type_; |
| 48 | + |
| 49 | + double p_{}; |
| 50 | + |
| 51 | + double margin_{}; |
| 52 | + |
| 53 | + int64_t reduction_{}; |
| 54 | + |
| 55 | + int device_index_{0}; |
| 56 | +}; |
| 57 | + |
| 58 | +} // namespace infini::ops |
| 59 | + |
| 60 | +#endif |
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