VecBase.h

// Copyright 2024, UChicago Argonne, LLC
// All Rights Reserved
// Software Name: NEML2 -- the New Engineering material Model Library, version 2
// By: Argonne National Laboratory
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#pragma once
 
#include "neml2/tensors/PrimitiveTensor.h"
#include "neml2/tensors/Scalar.h"
#include "neml2/tensors/R2.h"
 
namespace neml2
{
class Rot;
class R3;
 
template <class Derived>
class VecBase : public PrimitiveTensor<Derived, 3>
{
public:
  using PrimitiveTensor<Derived, 3>::PrimitiveTensor;
 
  [[nodiscard]] static Derived
  fill(const Real & v1,
       const Real & v2,
       const Real & v3,
       const torch::TensorOptions & options = default_tensor_options());
 
  [[nodiscard]] static Derived fill(const Scalar & v1, const Scalar & v2, const Scalar & v3);
 
  [[nodiscard]] static R2
  identity_map(const torch::TensorOptions & options = default_tensor_options());
 
  Scalar operator()(Size i) const;
 
  template <class Derived2>
  Scalar dot(const VecBase<Derived2> & v) const;
 
  template <class Derived2>
  Derived cross(const VecBase<Derived2> & v) const;
 
  template <class Derived2>
  R2 outer(const VecBase<Derived2> & v) const;
 
  Scalar norm_sq() const;
 
  Scalar norm() const;
 
  Derived rotate(const Rot & r) const;
 
  Derived rotate(const R2 & R) const;
 
  R2 drotate(const Rot & r) const;
 
  R3 drotate(const R2 & R) const;
};
 
template <class Derived>
template <class Derived2>
Scalar
VecBase<Derived>::dot(const VecBase<Derived2> & v) const
{
  neml_assert_broadcastable_dbg(*this, v);
  auto res = torch::linalg_vecdot(*this, v);
  return Scalar(res, res.dim());
}
 
template <class Derived>
template <class Derived2>
Derived
VecBase<Derived>::cross(const VecBase<Derived2> & v) const
{
  neml_assert_broadcastable_dbg(*this, v);
 
  auto batch_dim = broadcast_batch_dim(*this, v);
  auto pair = torch::broadcast_tensors({*this, v});
 
  return Derived(torch::linalg_cross(pair[0], pair[1]), batch_dim);
}
 
template <class Derived>
template <class Derived2>
R2
VecBase<Derived>::outer(const VecBase<Derived2> & v) const
{
  return torch::matmul(this->unsqueeze(-1), v.unsqueeze(-2));
}
} // namespace neml2