Group: tensor¶

A¶

• function kfr::tensor<T, NDims>::access(const shape_type &)
• function kfr::tensor<T, NDims>::allocate(size_t)
• function kfr::tensor<T, NDims>::assign(const T &)
• function kfr::tensor<T, NDims>::assign(const tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::astype()

B¶

• function kfr::tensor<T, NDims>::begin()
• function kfr::tensor<T, NDims>::binary_inplace(const tensor<U, dims> &, Fn &&)
• function kfr::tensor<T, NDims>::binary(const tensor<U, dims> &, Fn &&)

C¶

• function kfr::tensor<T, NDims>::calc_index(const shape_type &)
• enum constant kfr::npy_decode_result::cannot_read Failed to read data or header
• typedef kfr::tensor<T, NDims>::const_contiguous_iterator
• typedef kfr::tensor<T, NDims>::const_iterator
• typedef kfr::tensor<T, NDims>::const_pointer
• typedef kfr::tensor_subscript<T, Derived, std::integer_sequence<index_t, Dims...>>::const_reference
• typedef kfr::tensor<T, NDims>::const_reference
• function kfr::tensor<T, NDims>::contiguous_begin()
• function kfr::tensor<T, NDims>::contiguous_begin_unsafe()
• function kfr::tensor<T, NDims>::contiguous_end()
• function kfr::tensor<T, NDims>::contiguous_end_unsafe()
• typedef kfr::tensor<T, NDims>::contiguous_iterator
• function kfr::tensor<T, NDims>::copy()
• function kfr::tensor<T, NDims>::copy_from(const tensor<T, NDims> &)

D¶

• function kfr::tensor<T, NDims>::data()
• function kfr::tensor<T, NDims>::deallocate(T *)
• typedef kfr::tensor<T, NDims>::tensor_iterator::difference_type
• typedef kfr::tensor<T, NDims>::nested_iterator_t::difference_type
• variable kfr::tensor_subscript<T, Derived, std::integer_sequence<index_t, Dims...>>::dims
• variable kfr::tensor<T, NDims>::dims
• variable kfr::expression_traits<tensor<T, Dims>>::dims

E¶

• function kfr::tensor<T, NDims>::empty()
• function kfr::tensor<T, NDims>::end()
• class kfr::expression_traits<tensor<T, Dims>>

F¶

• function kfr::tensor<T, NDims>::finalizer()
• function kfr::tensor<T, NDims>::tensor_iterator::flat_index()
• function kfr::tensor<T, NDims>::flatten()
• function kfr::tensor<T, NDims>::flatten_may_copy(bool)

G¶

• function kfr::generic::get_elements(const tensor<T, NDims> &, const shape<NDims> &, const axis_params<Axis, N> &)
• function kfr::tensor<T, NDims>::get_range(index_t &, index_t &, index_t &, signed_index_t, const tensor_range &)
• function kfr::tensor<T, NDims>::get_range(index_t &, index_t &, index_t &, signed_index_t, index_t)
• function kfr::tensor<T, NDims>::get_ranges(shape_type &, shape_type &, shape_type &, cvals_t<index_t, Num...>, const std::tuple<Index...> &)
• function kfr::expression_traits<tensor<T, Dims>>::get_shape()
• function kfr::expression_traits<tensor<T, Dims>>::get_shape(const tensor<T, Dims> &)
• function kfr::representation<fmt_t<kfr::tensor<T, dims>, t, width, prec>>::get(const fmt_t<kfr::tensor<T, dims>, t, width, prec> &)
• function kfr::representation<kfr::tensor<T, dims>>::get(const kfr::tensor<T, dims> &)
• function kfr::representation<kfr::npy_decode_result>::get(kfr::npy_decode_result)

H¶

• variable kfr::tensor<T, NDims>::has_tensor_range

I¶

• variable kfr::tensor<T, NDims>::nested_iterator_t::index
• variable kfr::tensor<T, NDims>::tensor_iterator::indices
• enum constant kfr::npy_decode_result::invalid_header Malformed header
• enum constant kfr::npy_decode_result::invalid_shape Shape mismatch
• enum constant kfr::npy_decode_result::invalid_type Type mismatch
• function kfr::tensor<T, NDims>::is_contiguous()
• function kfr::tensor<T, NDims>::tensor_iterator::is_end()
• function kfr::tensor<T, NDims>::is_last_contiguous()
• function kfr::tensor<T, NDims>::iterate(Fn &&)
• typedef kfr::tensor<T, NDims>::iterator
• typedef kfr::tensor<T, NDims>::tensor_iterator::iterator_category
• typedef kfr::tensor<T, NDims>::nested_iterator_t::iterator_category

L¶

• function kfr::load_from_npy(tensor<T, Dims> &, Fn &&) Loads a tensor from .npy format using a custom read callback.

M¶

• function kfr::make_memory_finalizer(Fn &&)
• function kfr::tensor<T, NDims>::map(Fn &&)
• function kfr::generic::matrix_transpose(T *, const T *, shape<Dims>) Transposes a matrix (supports scalar and compound types).
• typedef kfr::memory_finalizer

N¶

• function kfr::tensor<T, NDims>::nested_begin()
• function kfr::tensor<T, NDims>::nested_end()
• typedef kfr::tensor<T, NDims>::nested_iterator
• struct kfr::tensor<T, NDims>::nested_iterator_t
• enum kfr::npy_decode_result Status returned by the .npy loading function.

O¶

• enum constant kfr::npy_decode_result::ok Successfully loaded
• function kfr::tensor<T, NDims>::tensor_iterator::operator*()
• function kfr::tensor<T, NDims>::tensor_iterator::operator->()
• function kfr::tensor<T, NDims>::tensor_iterator::operator++()
• typedef kfr::tensor<T, NDims>::operator()
• function kfr::tensor<T, NDims>::nested_iterator_t::operator*()
• function kfr::tensor<T, NDims>::nested_iterator_t::operator->()
• function kfr::tensor<T, NDims>::nested_iterator_t::operator++()
• function kfr::tensor<T, NDims>::operator()(const Index &...)
• function kfr::tensor<T, NDims>::nested_iterator_t::operator==(const nested_iterator_t &)
• function kfr::tensor<T, NDims>::nested_iterator_t::operator!=(const nested_iterator_t &)
• function kfr::tensor<T, NDims>::operator()(const shape_type &, const shape_type &)
• function kfr::tensor<T, NDims>::operator=(const T &)
• function kfr::tensor<T, NDims>::operator=(const T &)
• function kfr::tensor<T, NDims>::tensor_iterator::operator==(const tensor_iterator &)
• function kfr::tensor<T, NDims>::tensor_iterator::operator!=(const tensor_iterator &)
• function kfr::tensor<T, NDims>::operator=(const tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator=(const tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator=(const tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator==(const tensor<T, NDims> &, const tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator==(const tensor<T, NDims> &, tensor<T, NDims> &&)
• function kfr::tensor<T, NDims>::operator==(const tensor<T, NDims> &, tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator[](index_t)
• function kfr::tensor<T, NDims>::operator=(Input &&)
• function kfr::tensor<T, NDims>::operator=(Input &&)
• function kfr::tensor<T, NDims>::operator=(Input &&)
• function kfr::tensor<T, NDims>::tensor_iterator::operator++(int)
• function kfr::tensor<T, NDims>::nested_iterator_t::operator++(int)
• function kfr::tensor<T, NDims>::operator=(tensor<T, NDims> &&)
• function kfr::tensor<T, NDims>::operator==(tensor<T, NDims> &&, const tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator==(tensor<T, NDims> &, const tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator==(tensor<T, NDims> &&, tensor<T, NDims> &&)
• function kfr::tensor<T, NDims>::operator==(tensor<T, NDims> &&, tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::operator==(tensor<T, NDims> &, tensor<T, NDims> &&)
• function kfr::tensor<T, NDims>::operator==(tensor<T, NDims> &, tensor<T, NDims> &)
• function kfr::tensor_subscript<T, Derived, std::integer_sequence<index_t, Dims...>>::operator()(type_for<index_t, Dims>...)

P¶

• typedef kfr::tensor<T, NDims>::pointer
• typedef kfr::tensor<T, NDims>::tensor_iterator::pointer
• typedef kfr::tensor<T, NDims>::nested_iterator_t::pointer

R¶

• function kfr::tensor<T, NDims>::reduce(Fn &&, T)
• typedef kfr::tensor_subscript<T, Derived, std::integer_sequence<index_t, Dims...>>::reference
• typedef kfr::tensor<T, NDims>::reference
• typedef kfr::tensor<T, NDims>::tensor_iterator::reference
• typedef kfr::tensor<T, NDims>::nested_iterator_t::reference
• class kfr::representation<fmt_t<kfr::tensor<T, dims>, t, width, prec>>
• struct kfr::representation<kfr::npy_decode_result>
• class kfr::representation<kfr::tensor<T, dims>>
• function kfr::tensor<T, NDims>::require_contiguous()
• function kfr::tensor<T, NDims>::reshape_may_copy(const kfr::shape<dims> &, bool)
• function kfr::tensor<T, NDims>::reshape(const kfr::shape<dims> &)

S¶

• function kfr::save_to_npy(const tensor<T, Dims> &, Fn &&) Saves a tensor to .npy format using a custom write callback.
• function kfr::generic::set_elements(const tensor<T, NDims> &, const shape<NDims> &, const axis_params<Axis, N> &, const std::type_identity_t<vec<T, N>> &)
• function kfr::tensor<T, NDims>::shape()
• typedef kfr::tensor<T, NDims>::shape_type
• function kfr::tensor<T, NDims>::size()
• typedef kfr::tensor<T, NDims>::size_type
• variable kfr::tensor<T, NDims>::tensor_iterator::src
• variable kfr::tensor<T, NDims>::nested_iterator_t::src
• function kfr::tensor<T, NDims>::strides()

T¶

• function kfr::tensor_from_container(Container)
• struct kfr::tensor<T, NDims>::tensor_iterator Tensor iterator. Iterates through flattened array
• class kfr::tensor_subscript<T, Derived, Dims>
• class kfr::tensor_subscript<T, Derived, std::integer_sequence<index_t, Dims...>>
• class kfr::tensor<T, dynamic_shape>
• class kfr::tensor<T, NDims> tensor holds or references multidimensional data and provides a way to access individual elements and perform complex operations on the data.
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>() Default constructor. Creates tensor with null shape
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const shape_type &) Construct from shape and allocate memory
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const shape_type &, const shape_type &) Construct from shape, strides and allocate memory
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const shape_type &, const shape_type &, std::initializer_list<T>)
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const shape_type &, const shape_type &, T) Construct from shape, strides, allocate memory and fill with value
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const shape_type &, const std::initializer_list<T> &) Construct from shape, allocate memory and fill with flat list
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const shape_type &, T) Construct from shape, allocate memory and fill with value
• function kfr::tensor<T, NDims>::tensor<T, NDims>(const std::initializer_list<std::initializer_list<std::initializer_list<std::initializer_list<U>>>> &) Initialize with braced list. Defined for 4D tensor only
• function kfr::tensor<T, NDims>::tensor<T, NDims>(const std::initializer_list<std::initializer_list<std::initializer_list<U>>> &) Initialize with braced list. Defined for 3D tensor only
• function kfr::tensor<T, NDims>::tensor<T, NDims>(const std::initializer_list<std::initializer_list<U>> &) Initialize with braced list. Defined for 2D tensor only
• function kfr::tensor<T, NDims>::tensor<T, NDims>(const std::initializer_list<U> &) Initialize with braced list. Defined for 1D tensor only
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const tensor<T, NDims> &)
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(const tensor<T, NDims> &&)
• function kfr::tensor<T, NDims>::tensor<T, NDims>(Input &&)
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(T *, const shape_type &, const shape_type &, memory_finalizer) Construct from external pointer, shape, strides and finalizer
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(T *, const shape_type &, memory_finalizer) Construct from external pointer, shape and finalizer with default strides
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(tensor<T, NDims> &&)
• constructor kfr::tensor<T, NDims>::tensor<T, NDims>(tensor<T, NDims> &)
• function kfr::tensor<T, NDims>::to_array()
• function kfr::tensor<T, NDims>::to_string(int, int, std::string, std::string, std::string)
• function kfr::tensor<T, NDims>::transpose()
• function kfr::generic::trender(const E &)
• function kfr::generic::trender(const E &, shape<Traits::dims>)
• typedef kfr::representation<kfr::tensor<T, dims>>::type
• typedef kfr::representation<fmt_t<kfr::tensor<T, dims>, t, width, prec>>::type
• typedef kfr::representation<kfr::npy_decode_result>::type

U¶

• function kfr::tensor<T, NDims>::unary_inplace(Fn &&)
• function kfr::tensor<T, NDims>::unary(Fn &&)

V¶

• typedef kfr::tensor<T, NDims>::value_type
• typedef kfr::tensor<T, NDims>::tensor_iterator::value_type
• typedef kfr::tensor<T, NDims>::nested_iterator_t::value_type
• typedef kfr::expression_traits<tensor<T, Dims>>::value_type