TensorNegate.hpp

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//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~//
// Copyright (c) Lawrence Livermore National Security, LLC and other
// RAJA Project Developers. See top-level LICENSE and COPYRIGHT
// files for dates and other details. No copyright assignment is required
// to contribute to RAJA.
//
// SPDX-License-Identifier: (BSD-3-Clause)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~//
 
#ifndef RAJA_pattern_tensor_ET_TensorNegate_HPP
#define RAJA_pattern_tensor_ET_TensorNegate_HPP
 
#include "RAJA/config.hpp"
 
#include "RAJA/util/macros.hpp"
 
#include "RAJA/pattern/tensor/internal/ET/ExpressionTemplateBase.hpp"
 
namespace RAJA
{
namespace internal
{
namespace expt
{
 
 
namespace ET
{
 
template<typename ET_TYPE>
class TensorNegate : public TensorExpressionBase<TensorNegate<ET_TYPE>>
{
public:
  using self_type    = TensorNegate<ET_TYPE>;
  using rhs_type     = ET_TYPE;
  using tensor_type  = typename ET_TYPE::result_type;
  using element_type = typename tensor_type::element_type;
  using index_type   = typename ET_TYPE::index_type;
 
  using result_type                       = tensor_type;
  using tile_type                         = typename ET_TYPE::tile_type;
  static constexpr camp::idx_t s_num_dims = ET_TYPE::s_num_dims;
 
  RAJA_INLINE
 
  RAJA_HOST_DEVICE
  TensorNegate(rhs_type const& tensor) : m_tensor {tensor} {}
 
  RAJA_INLINE
 
  RAJA_HOST_DEVICE
  constexpr index_type getDimSize(index_type dim) const
  {
    return m_tensor.getDimSize(dim);
  }
 
  template<typename TILE_TYPE>
  RAJA_INLINE RAJA_HOST_DEVICE result_type eval(TILE_TYPE const& tile) const
  {
    return m_tensor.eval(tile).scale(-1);
  }
 
  RAJA_INLINE
 
  RAJA_HOST_DEVICE
  void print_ast() const
  {
    printf("Negate(");
    m_tensor.print_ast();
    printf(")");
  }
 
private:
  rhs_type m_tensor;
};
 
 
}  // namespace ET
 
}  // namespace expt
}  // namespace internal
 
}  // namespace RAJA
 
 
#endif