Tensor.h

// Copyright 2024, UChicago Argonne, LLC
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// Software Name: NEML2 -- the New Engineering material Model Library, version 2
// By: Argonne National Laboratory
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#pragma once
 
#include <torch/csrc/api/include/torch/detail/TensorDataContainer.h>
 
#include "neml2/misc/types.h"
#include "neml2/tensors/TensorBase.h"
#include "neml2/misc/defaults.h"
 
namespace neml2
{
class Tensor;
using TensorDataContainer = torch::detail::TensorDataContainer;
using TensorList = c10::ArrayRef<neml2::Tensor>;
 
namespace utils
{
TraceableTensorShape broadcast_dynamic_sizes(const std::vector<Tensor> & tensors);
TensorShape broadcast_intmd_sizes(const std::vector<Tensor> & tensors);
} // namespace utils
 
class Tensor : public TensorBase<Tensor>
{
public:
  Tensor() = default;

  Tensor(const ATensor & tensor, Size dynamic_dim, Size intmd_dim = 0);

  Tensor(const ATensor & tensor, const TraceableTensorShape & dynamic_shape, Size intmd_dim = 0);

  template <class Derived>
  Tensor(const TensorBase<Derived> & tensor)
    : TensorBase(tensor, tensor.dynamic_sizes(), tensor.intmd_dim())
  {
  }

  [[nodiscard]] static Tensor create(const TensorDataContainer & data,
                                     const TensorOptions & options = default_tensor_options());

  [[nodiscard]] static Tensor create(const TensorDataContainer & data,
                                     Size dynamic_dim,
                                     Size intmd_dim = 0,
                                     const TensorOptions & options = default_tensor_options());

  [[nodiscard]] static Tensor empty(TensorShapeRef base_shape,
                                    const TensorOptions & options = default_tensor_options());
  [[nodiscard]] static Tensor empty(const TraceableTensorShape & dynamic_shape,
                                    TensorShapeRef intmd_shape,
                                    TensorShapeRef base_shape,
                                    const TensorOptions & options = default_tensor_options());

  [[nodiscard]] static Tensor zeros(TensorShapeRef base_shape,
                                    const TensorOptions & options = default_tensor_options());
  [[nodiscard]] static Tensor zeros(const TraceableTensorShape & dynamic_shape,
                                    TensorShapeRef intmd_shape,
                                    TensorShapeRef base_shape,
                                    const TensorOptions & options = default_tensor_options());

  [[nodiscard]] static Tensor ones(TensorShapeRef base_shape,
                                   const TensorOptions & options = default_tensor_options());
  [[nodiscard]] static Tensor ones(const TraceableTensorShape & dynamic_shape,
                                   TensorShapeRef intmd_shape,
                                   TensorShapeRef base_shape,
                                   const TensorOptions & options = default_tensor_options());

  [[nodiscard]] static Tensor full(TensorShapeRef base_shape,
                                   const CScalar & init,
                                   const TensorOptions & options = default_tensor_options());
  [[nodiscard]] static Tensor full(const TraceableTensorShape & dynamic_shape,
                                   TensorShapeRef intmd_shape,
                                   TensorShapeRef base_shape,
                                   const CScalar & init,
                                   const TensorOptions & options = default_tensor_options());

  [[nodiscard]] static Tensor rand(TensorShapeRef base_shape,
                                   const TensorOptions & options = default_tensor_options());
  [[nodiscard]] static Tensor rand(const TraceableTensorShape & dynamic_shape,
                                   TensorShapeRef intmd_shape,
                                   TensorShapeRef base_shape,
                                   const TensorOptions & options = default_tensor_options());

  [[nodiscard]] static Tensor identity(Size n,
                                       const TensorOptions & options = default_tensor_options());
};
} // namespace neml2