gelu_infinilm.h

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#ifndef INFINI_OPS_BASE_GELU_INFINILM_H_
#define INFINI_OPS_BASE_GELU_INFINILM_H_
 
#include <cassert>
#include <string>
 
#include "operator.h"
 
namespace infini::ops {
 
class [[deprecated("Use `Gelu` instead.")]] GeluInfinilm
    : public Operator<GeluInfinilm> {
 public:
  GeluInfinilm(const Tensor input, const std::string approximate, 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()},
        approximate_{approximate},
        output_size_{out.numel()},
        ndim_{out.ndim()},
        is_input_contiguous_{input.IsContiguous()},
        is_out_contiguous_{out.IsContiguous()},
        device_index_{out.device().index()} {
    assert(input_shape_ == out_shape_ &&
           "`GeluInfinilm` input and output shapes must match");
    assert(input_type_ == out_type_ &&
           "`GeluInfinilm` input and output dtypes must match");
    assert((approximate.empty() || approximate == "none") &&
           "`GeluInfinilm` only supports exact approximation");
    assert(!out.HasBroadcastDim() &&
           "`GeluInfinilm` output must not have broadcasted dimensions");
  }
 
  virtual void operator()(const Tensor input, const std::string approximate,
                          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_;
 
  std::string approximate_{};
 
  Tensor::Size output_size_{0};
 
  Tensor::Size ndim_{0};
 
  bool is_input_contiguous_{false};
 
  bool is_out_contiguous_{false};
 
  int device_index_{0};
};
 
}  // namespace infini::ops
 
#endif