softmax_infinilm.h

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#ifndef INFINI_OPS_BASE_SOFTMAX_INFINILM_H_
#define INFINI_OPS_BASE_SOFTMAX_INFINILM_H_
 
#include <cassert>
#include <optional>
 
#include "operator.h"
 
namespace infini::ops {
 
class [[deprecated("Use `Softmax` instead.")]] SoftmaxInfinilm
    : public Operator<SoftmaxInfinilm> {
 public:
  SoftmaxInfinilm(const Tensor input, const int64_t dim,
                  const std::optional<DataType> dtype, 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()},
        dim_{dim < 0 ? dim + static_cast<int64_t>(input.ndim()) : dim},
        dtype_{dtype},
        ndim_{out.ndim()},
        dim_size_{out.size(dim_)},
        row_count_{out.numel() / dim_size_},
        device_index_{out.device().index()} {
    assert(input_shape_ == out_shape_ &&
           "`SoftmaxInfinilm` input and output shapes must match");
    assert(dim_ >= 0 && dim_ < static_cast<int64_t>(ndim_) &&
           "`SoftmaxInfinilm` dim out of range");
    assert(!dtype_.has_value() || dtype_.value() == out_type_);
    assert(input_type_ == out_type_ &&
           "`SoftmaxInfinilm` input and output dtypes must match");
    assert(!out.HasBroadcastDim() &&
           "`SoftmaxInfinilm` output must not have broadcasted dimensions");
  }
 
  virtual void operator()(const Tensor input, const int64_t dim,
                          const std::optional<DataType> dtype,
                          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_;
 
  int64_t dim_{};
 
  std::optional<DataType> dtype_{};
 
  Tensor::Size ndim_{0};
 
  Tensor::Size dim_size_{0};
 
  Tensor::Size row_count_{0};
 
  int device_index_{0};
};
 
}  // namespace infini::ops
 
#endif