diff --git a/src/base/smooth_l1_loss_backward.h b/src/base/smooth_l1_loss_backward.h new file mode 100644 index 00000000..e082c388 --- /dev/null +++ b/src/base/smooth_l1_loss_backward.h @@ -0,0 +1,67 @@ +#ifndef INFINI_OPS_BASE_SMOOTH_L1_LOSS_BACKWARD_H_ +#define INFINI_OPS_BASE_SMOOTH_L1_LOSS_BACKWARD_H_ + +#include "operator.h" + +namespace infini::ops { + +class SmoothL1LossBackward : public Operator { + public: + SmoothL1LossBackward(const Tensor grad_output, const Tensor input, + const Tensor target, const int64_t reduction, + const double beta, Tensor grad_input) + : grad_output_shape_{grad_output.shape()}, + grad_output_strides_{grad_output.strides()}, + grad_output_type_{grad_output.dtype()}, + input_shape_{input.shape()}, + input_strides_{input.strides()}, + input_type_{input.dtype()}, + target_shape_{target.shape()}, + target_strides_{target.strides()}, + target_type_{target.dtype()}, + grad_input_shape_{grad_input.shape()}, + grad_input_strides_{grad_input.strides()}, + grad_input_type_{grad_input.dtype()}, + reduction_{reduction}, + beta_{beta}, + device_index_{grad_input.device().index()} {} + + virtual void operator()(const Tensor grad_output, const Tensor input, + const Tensor target, const int64_t reduction, + const double beta, Tensor grad_input) const = 0; + + protected: + Tensor::Shape grad_output_shape_; + + Tensor::Strides grad_output_strides_; + + DataType grad_output_type_; + + Tensor::Shape input_shape_; + + Tensor::Strides input_strides_; + + DataType input_type_; + + Tensor::Shape target_shape_; + + Tensor::Strides target_strides_; + + DataType target_type_; + + Tensor::Shape grad_input_shape_; + + Tensor::Strides grad_input_strides_; + + DataType grad_input_type_; + + int64_t reduction_{}; + + double beta_{}; + + int device_index_{0}; +}; + +} // namespace infini::ops + +#endif