internal_slow_conv2d_forward.h

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#ifndef INFINI_OPS_BASE_INTERNAL_SLOW_CONV2D_FORWARD_H_
#define INFINI_OPS_BASE_INTERNAL_SLOW_CONV2D_FORWARD_H_
 
#include <optional>
#include <vector>
 
#include "operator.h"
 
namespace infini::ops::internal {
 
class SlowConv2dForward : public Operator<SlowConv2dForward> {
 public:
  SlowConv2dForward(const Tensor input, const Tensor weight,
                    const std::optional<Tensor> bias,
                    const std::vector<int64_t> kernel_size,
                    const std::vector<int64_t> stride,
                    const std::vector<int64_t> padding, Tensor output)
      : input_shape_{input.shape()},
        input_strides_{input.strides()},
        input_type_{input.dtype()},
        weight_shape_{weight.shape()},
        weight_strides_{weight.strides()},
        weight_type_{weight.dtype()},
        output_shape_{output.shape()},
        output_strides_{output.strides()},
        output_type_{output.dtype()},
        has_bias_{bias.has_value()},
        bias_shape_{bias ? Tensor::Shape{bias->shape()} : Tensor::Shape{}},
        bias_strides_{bias ? Tensor::Strides{bias->strides()}
                           : Tensor::Strides{}},
        bias_type_{bias ? bias->dtype() : DataType::kFloat32},
        kernel_size_{kernel_size},
        stride_{stride},
        padding_{padding},
        device_index_{output.device().index()} {}
 
  virtual void operator()(const Tensor input, const Tensor weight,
                          const std::optional<Tensor> bias,
                          const std::vector<int64_t> kernel_size,
                          const std::vector<int64_t> stride,
                          const std::vector<int64_t> padding,
                          Tensor output) const = 0;
 
 protected:
  Tensor::Shape input_shape_;
 
  Tensor::Strides input_strides_;
 
  DataType input_type_;
 
  Tensor::Shape weight_shape_;
 
  Tensor::Strides weight_strides_;
 
  DataType weight_type_;
 
  Tensor::Shape output_shape_;
 
  Tensor::Strides output_strides_;
 
  DataType output_type_;
 
  bool has_bias_{false};
 
  Tensor::Shape bias_shape_;
 
  Tensor::Strides bias_strides_;
 
  DataType bias_type_{DataType::kFloat32};
 
  std::vector<int64_t> kernel_size_{};
 
  std::vector<int64_t> stride_{};
 
  std::vector<int64_t> padding_{};
 
  int device_index_{0};
};
 
}  // namespace infini::ops::internal
 
#endif