|
template<size_t dim, typename S , typename Head , size_t D> |
constexpr size_t | xgboost::linalg::detail::Offset (S(&strides)[D], size_t n, Head head) |
|
template<size_t dim, typename S , size_t D, typename Head , typename... Tail> |
constexpr std::enable_if_t< sizeof...(Tail) !=0, size_t > | xgboost::linalg::detail::Offset (S(&strides)[D], size_t n, Head head, Tail &&...rest) |
|
template<int32_t D, bool f_array = false> |
constexpr void | xgboost::linalg::detail::CalcStride (size_t const (&shape)[D], size_t(&stride)[D]) |
|
template<typename T > |
constexpr int32_t | xgboost::linalg::detail::CalcSliceDim () |
| Calculate the dimension of sliced tensor. More...
|
|
template<typename T , typename... S> |
constexpr std::enable_if_t< sizeof...(S) !=0, int32_t > | xgboost::linalg::detail::CalcSliceDim () |
|
template<int32_t D> |
constexpr size_t | xgboost::linalg::detail::CalcSize (size_t(&shape)[D]) |
|
template<int32_t n, typename Fn > |
constexpr LINALG_HD auto | xgboost::linalg::detail::UnrollLoop (Fn fn) |
|
template<typename T > |
int32_t | xgboost::linalg::detail::NativePopc (T v) |
|
LINALG_HD int | xgboost::linalg::detail::Popc (uint32_t v) |
|
LINALG_HD int | xgboost::linalg::detail::Popc (uint64_t v) |
|
template<std::size_t D, typename Head > |
LINALG_HD void | xgboost::linalg::detail::IndexToArr (std::size_t(&arr)[D], Head head) |
|
template<std::size_t D, typename Head , typename... Rest> |
LINALG_HD void | xgboost::linalg::detail::IndexToArr (std::size_t(&arr)[D], Head head, Rest &&...index) |
| Convert index from parameter pack to C-style array. More...
|
|
template<class T , std::size_t N, std::size_t... Idx> |
constexpr auto | xgboost::linalg::detail::ArrToTuple (T(&arr)[N], std::index_sequence< Idx... >) |
|
template<class T , std::size_t N> |
constexpr auto | xgboost::linalg::detail::ArrToTuple (T(&arr)[N]) |
| Convert C-styple array to std::tuple. More...
|
|
template<typename I , std::int32_t D> |
LINALG_HD auto | xgboost::linalg::detail::UnravelImpl (I idx, common::Span< size_t const, D > shape) |
|
template<size_t dim, typename I , int32_t D> |
void | xgboost::linalg::detail::ReshapeImpl (size_t(&out_shape)[D], I s) |
|
template<size_t dim, int32_t D, typename... S, typename I , std::enable_if_t< sizeof...(S) !=0 > * = nullptr> |
void | xgboost::linalg::detail::ReshapeImpl (size_t(&out_shape)[D], I &&s, S &&...rest) |
|
template<typename Fn , typename Tup , size_t... I> |
decltype(auto) constexpr LINALG_HD | xgboost::linalg::detail::Apply (Fn &&f, Tup &&t, std::index_sequence< I... >) |
|
template<typename Fn , typename Tup > |
decltype(auto) constexpr LINALG_HD | xgboost::linalg::detail::Apply (Fn &&f, Tup &&t) |
|
constexpr detail::AllTag | xgboost::linalg::All () |
| Specify all elements in the axis for slicing. More...
|
|
template<typename I > |
constexpr detail::RangeTag< I > | xgboost::linalg::Range (I beg, I end) |
| Specify a range of elements in the axis for slicing. More...
|
|
template<typename Container , typename... S, std::enable_if_t<!common::detail::IsSpan< Container >::value &&!std::is_pointer_v< Container >> * = nullptr> |
auto | xgboost::linalg::MakeTensorView (Context const *ctx, Container &data, S &&...shape) |
| Constructor for automatic type deduction. More...
|
|
template<typename T , decltype(common::dynamic_extent) ext, typename... S> |
LINALG_HD auto | xgboost::linalg::MakeTensorView (DeviceOrd device, common::Span< T, ext > data, S &&...shape) |
|
template<typename T , decltype(common::dynamic_extent) ext, typename... S> |
auto | xgboost::linalg::MakeTensorView (Context const *ctx, common::Span< T, ext > data, S &&...shape) |
|
template<typename T , decltype(common::dynamic_extent) ext, typename... S> |
auto | xgboost::linalg::MakeTensorView (Context const *ctx, Order order, common::Span< T, ext > data, S &&...shape) |
|
template<typename T , typename... S> |
auto | xgboost::linalg::MakeTensorView (Context const *ctx, HostDeviceVector< T > *data, S &&...shape) |
|
template<typename T , typename... S> |
auto | xgboost::linalg::MakeTensorView (Context const *ctx, HostDeviceVector< T > const *data, S &&...shape) |
|
template<size_t D> |
LINALG_HD auto | xgboost::linalg::UnravelIndex (size_t idx, common::Span< size_t const, D > shape) |
| Turns linear index into multi-dimension index. Similar to numpy unravel. More...
|
|
template<size_t D> |
LINALG_HD auto | xgboost::linalg::UnravelIndex (size_t idx, std::size_t const (&shape)[D]) |
|
template<typename... S> |
LINALG_HD auto | xgboost::linalg::UnravelIndex (std::size_t idx, S... shape) |
|
template<typename T > |
auto | xgboost::linalg::MakeVec (T *ptr, size_t s, DeviceOrd device=DeviceOrd::CPU()) |
| Create a vector view from contigious memory. More...
|
|
template<typename T > |
auto | xgboost::linalg::MakeVec (HostDeviceVector< T > *data) |
|
template<typename T > |
auto | xgboost::linalg::MakeVec (HostDeviceVector< T > const *data) |
|
template<typename T , std::int32_t D> |
Json | xgboost::linalg::ArrayInterface (TensorView< T const, D > const &t) |
| Array Interface defined by numpy. More...
|
|
template<typename T , int32_t D> |
Json | xgboost::linalg::ArrayInterface (TensorView< T, D > const &t) |
| Same as const version, but returns non-readonly data pointer. More...
|
|
template<typename T , int32_t D> |
auto | xgboost::linalg::ArrayInterfaceStr (TensorView< T const, D > const &t) |
| Return string representation of array interface. More...
|
|
template<typename T , int32_t D> |
auto | xgboost::linalg::ArrayInterfaceStr (TensorView< T, D > const &t) |
|
template<typename T > |
auto | xgboost::linalg::Make1dInterface (T const *vec, std::size_t len) |
|
template<typename T , typename... Index> |
auto | xgboost::linalg::Empty (Context const *ctx, Index &&...index) |
| Create an array without initialization. More...
|
|
template<typename T , typename... Index> |
auto | xgboost::linalg::Constant (Context const *ctx, T v, Index &&...index) |
| Create an array with value v. More...
|
|
template<typename T , typename... Index> |
auto | xgboost::linalg::Zeros (Context const *ctx, Index &&...index) |
| Like np.zeros , return a new array of given shape and type, filled with zeros. More...
|
|
template<typename T , int32_t D> |
void | xgboost::linalg::Stack (Tensor< T, D > *l, Tensor< T, D > const &r) |
|
Linear algebra related utilities.
Copyright 2021-2023 by XGBoost Contributors