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Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h')
| -rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h | 380 |
1 files changed, 380 insertions, 0 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h b/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h new file mode 100644 index 000000000..2ad52b2f9 --- /dev/null +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorDimensions.h @@ -0,0 +1,380 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#ifndef EIGEN_CXX11_TENSOR_TENSOR_DIMENSIONS_H +#define EIGEN_CXX11_TENSOR_TENSOR_DIMENSIONS_H + + +namespace Eigen { + +/** \internal + * + * \class TensorDimensions + * \ingroup CXX11_Tensor_Module + * + * \brief Set of classes used to encode and store the dimensions of a Tensor. + * + * The Sizes class encodes as part of the type the number of dimensions and the + * sizes corresponding to each dimension. It uses no storage space since it is + * entirely known at compile time. + * The DSizes class is its dynamic sibling: the number of dimensions is known + * at compile time but the sizes are set during execution. + * + * \sa Tensor + */ + +// Can't use std::pair on cuda devices +template <typename Index> struct IndexPair { + EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE IndexPair() : first(0), second(0) { } + EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE IndexPair(Index f, Index s) : first(f), second(s) { } + Index first; + Index second; +}; + +// Boilerplate code +namespace internal { + +template<std::size_t n, typename Dimension> struct dget { + static const std::size_t value = get<n, Dimension>::value; +}; + + +template<typename Index, std::size_t NumIndices, std::size_t n, bool RowMajor> +struct fixed_size_tensor_index_linearization_helper +{ + template <typename Dimensions> EIGEN_DEVICE_FUNC + static inline Index run(array<Index, NumIndices> const& indices, + const Dimensions& dimensions) + { + return array_get<RowMajor ? n : (NumIndices - n - 1)>(indices) + + dget<RowMajor ? n : (NumIndices - n - 1), Dimensions>::value * + fixed_size_tensor_index_linearization_helper<Index, NumIndices, n - 1, RowMajor>::run(indices, dimensions); + } +}; + +template<typename Index, std::size_t NumIndices, bool RowMajor> +struct fixed_size_tensor_index_linearization_helper<Index, NumIndices, 0, RowMajor> +{ + template <typename Dimensions> EIGEN_DEVICE_FUNC + static inline Index run(array<Index, NumIndices> const& indices, + const Dimensions&) + { + return array_get<RowMajor ? 0 : NumIndices - 1>(indices); + } +}; + +} // end namespace internal + + +// Fixed size +#ifndef EIGEN_EMULATE_CXX11_META_H +template <typename std::size_t... Indices> +struct Sizes : internal::numeric_list<std::size_t, Indices...> { + typedef internal::numeric_list<std::size_t, Indices...> Base; + static const std::size_t total_size = internal::arg_prod(Indices...); + + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t rank() const { + return Base::count; + } + + static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::size_t TotalSize() { + return internal::arg_prod(Indices...); + } + + Sizes() { } + template <typename DenseIndex> + explicit Sizes(const array<DenseIndex, Base::count>& /*indices*/) { + // todo: add assertion + } +#ifdef EIGEN_HAS_VARIADIC_TEMPLATES + template <typename... DenseIndex> Sizes(DenseIndex...) { } + explicit Sizes(std::initializer_list<std::size_t> /*l*/) { + // todo: add assertion + } +#endif + + template <typename T> Sizes& operator = (const T& /*other*/) { + // add assertion failure if the size of other is different + return *this; + } + + template <typename DenseIndex> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + size_t IndexOfColMajor(const array<DenseIndex, Base::count>& indices) const { + return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count - 1, false>::run(indices, *static_cast<const Base*>(this)); + } + template <typename DenseIndex> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + size_t IndexOfRowMajor(const array<DenseIndex, Base::count>& indices) const { + return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count - 1, true>::run(indices, *static_cast<const Base*>(this)); + } +}; + +template <typename std::size_t... Indices> +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::size_t array_prod(const Sizes<Indices...>&) { + return Sizes<Indices...>::total_size; +} + +#else + +template <std::size_t n> +struct non_zero_size { + typedef internal::type2val<std::size_t, n> type; +}; +template <> +struct non_zero_size<0> { + typedef internal::null_type type; +}; + +template <std::size_t V1=0, std::size_t V2=0, std::size_t V3=0, std::size_t V4=0, std::size_t V5=0> struct Sizes { + typedef typename internal::make_type_list<typename non_zero_size<V1>::type, typename non_zero_size<V2>::type, typename non_zero_size<V3>::type, typename non_zero_size<V4>::type, typename non_zero_size<V5>::type >::type Base; + static const size_t count = Base::count; + static const std::size_t total_size = internal::arg_prod<Base>::value; + + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t rank() const { + return count; + } + + static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t TotalSize() { + return internal::arg_prod<Base>::value; + } + + Sizes() { } + template <typename DenseIndex> + explicit Sizes(const array<DenseIndex, Base::count>& indices) { + // todo: add assertion + } +#ifdef EIGEN_HAS_VARIADIC_TEMPLATES + template <typename... DenseIndex> Sizes(DenseIndex... indices) { } + explicit Sizes(std::initializer_list<std::size_t> l) { + // todo: add assertion + } +#else + EIGEN_DEVICE_FUNC explicit Sizes(const DenseIndex i0) { + } + EIGEN_DEVICE_FUNC explicit Sizes(const DenseIndex i0, const DenseIndex i1) { + } + EIGEN_DEVICE_FUNC explicit Sizes(const DenseIndex i0, const DenseIndex i1, const DenseIndex i2) { + } + EIGEN_DEVICE_FUNC explicit Sizes(const DenseIndex i0, const DenseIndex i1, const DenseIndex i2, const DenseIndex i3) { + } + EIGEN_DEVICE_FUNC explicit Sizes(const DenseIndex i0, const DenseIndex i1, const DenseIndex i2, const DenseIndex i3, const DenseIndex i4) { + } +#endif + + template <typename T> Sizes& operator = (const T& other) { + // to do: check the size of other + return *this; + } + + template <typename DenseIndex> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + size_t IndexOfColMajor(const array<DenseIndex, Base::count>& indices) const { + return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count - 1, false>::run(indices, *static_cast<const Base*>(this); + } + template <typename DenseIndex> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + size_t IndexOfRowMajor(const array<DenseIndex, Base::count>& indices) const { + return internal::fixed_size_tensor_index_linearization_helper<DenseIndex, Base::count, Base::count - 1, true>::run(indices, *static_cast<const Base*>(this); + } +}; + +template <std::size_t V1, std::size_t V2, std::size_t V3, std::size_t V4, std::size_t V5> +EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::size_t array_prod(const Sizes<V1, V2, V3, V4, V5>&) { + return Sizes<V1, V2, V3, V4, V5>::total_size; +}; + +#endif + +// Boilerplate +namespace internal { +template<typename Index, std::size_t NumIndices, std::size_t n, bool RowMajor> +struct tensor_index_linearization_helper +{ + static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + Index run(array<Index, NumIndices> const& indices, array<Index, NumIndices> const& dimensions) + { + return array_get<RowMajor ? n : (NumIndices - n - 1)>(indices) + + array_get<RowMajor ? n : (NumIndices - n - 1)>(dimensions) * + tensor_index_linearization_helper<Index, NumIndices, n - 1, RowMajor>::run(indices, dimensions); + } +}; + +template<typename Index, std::size_t NumIndices, bool RowMajor> +struct tensor_index_linearization_helper<Index, NumIndices, 0, RowMajor> +{ + static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + Index run(array<Index, NumIndices> const& indices, array<Index, NumIndices> const&) + { + return array_get<RowMajor ? 0 : NumIndices - 1>(indices); + } +}; +} // end namespace internal + + + +// Dynamic size +template <typename DenseIndex, std::size_t NumDims> +struct DSizes : array<DenseIndex, NumDims> { + typedef array<DenseIndex, NumDims> Base; + static const std::size_t count = NumDims; + + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t rank() const { + return NumDims; + } + + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t TotalSize() const { + return internal::array_prod(*static_cast<const Base*>(this)); + } + + EIGEN_DEVICE_FUNC DSizes() { + for (int i = 0 ; i < NumDims; ++i) { + (*this)[i] = 0; + } + } + EIGEN_DEVICE_FUNC explicit DSizes(const array<DenseIndex, NumDims>& a) : Base(a) { } + +#ifdef EIGEN_HAS_VARIADIC_TEMPLATES + template<typename... IndexTypes> EIGEN_DEVICE_FUNC + EIGEN_STRONG_INLINE explicit DSizes(DenseIndex firstDimension, IndexTypes... otherDimensions) { + EIGEN_STATIC_ASSERT(sizeof...(otherDimensions) + 1 == NumDims, YOU_MADE_A_PROGRAMMING_MISTAKE) + (*this) = array<DenseIndex, NumDims>{{firstDimension, otherDimensions...}}; + } +#else + EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0) { + eigen_assert(NumDims == 1); + (*this)[0] = i0; + } + EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0, const DenseIndex i1) { + eigen_assert(NumDims == 2); + (*this)[0] = i0; + (*this)[1] = i1; + } + EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0, const DenseIndex i1, const DenseIndex i2) { + eigen_assert(NumDims == 3); + (*this)[0] = i0; + (*this)[1] = i1; + (*this)[2] = i2; + } + EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0, const DenseIndex i1, const DenseIndex i2, const DenseIndex i3) { + eigen_assert(NumDims == 4); + (*this)[0] = i0; + (*this)[1] = i1; + (*this)[2] = i2; + (*this)[3] = i3; + } + EIGEN_DEVICE_FUNC explicit DSizes(const DenseIndex i0, const DenseIndex i1, const DenseIndex i2, const DenseIndex i3, const DenseIndex i4) { + eigen_assert(NumDims == 5); + (*this)[0] = i0; + (*this)[1] = i1; + (*this)[2] = i2; + (*this)[3] = i3; + (*this)[4] = i4; + } +#endif + + EIGEN_DEVICE_FUNC DSizes& operator = (const array<DenseIndex, NumDims>& other) { + *static_cast<Base*>(this) = other; + return *this; + } + + // A constexpr would be so much better here + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t IndexOfColMajor(const array<DenseIndex, NumDims>& indices) const { + return internal::tensor_index_linearization_helper<DenseIndex, NumDims, NumDims - 1, false>::run(indices, *static_cast<const Base*>(this)); + } + EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE size_t IndexOfRowMajor(const array<DenseIndex, NumDims>& indices) const { + return internal::tensor_index_linearization_helper<DenseIndex, NumDims, NumDims - 1, true>::run(indices, *static_cast<const Base*>(this)); + } +}; + + + + +// Boilerplate +namespace internal { +template<typename Index, std::size_t NumIndices, std::size_t n, bool RowMajor> +struct tensor_vsize_index_linearization_helper +{ + static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + Index run(array<Index, NumIndices> const& indices, std::vector<DenseIndex> const& dimensions) + { + return array_get<RowMajor ? n : (NumIndices - n - 1)>(indices) + + array_get<RowMajor ? n : (NumIndices - n - 1)>(dimensions) * + tensor_vsize_index_linearization_helper<Index, NumIndices, n - 1, RowMajor>::run(indices, dimensions); + } +}; + +template<typename Index, std::size_t NumIndices, bool RowMajor> +struct tensor_vsize_index_linearization_helper<Index, NumIndices, 0, RowMajor> +{ + static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE + Index run(array<Index, NumIndices> const& indices, std::vector<DenseIndex> const&) + { + return array_get<RowMajor ? 0 : NumIndices - 1>(indices); + } +}; +} // end namespace internal + + +namespace internal { + +template <typename DenseIndex, std::size_t NumDims> struct array_size<const DSizes<DenseIndex, NumDims> > { + static const size_t value = NumDims; +}; +template <typename DenseIndex, std::size_t NumDims> struct array_size<DSizes<DenseIndex, NumDims> > { + static const size_t value = NumDims; +}; +#ifndef EIGEN_EMULATE_CXX11_META_H +template <typename std::size_t... Indices> struct array_size<const Sizes<Indices...> > { +static const size_t value = Sizes<Indices...>::count; +}; +template <typename std::size_t... Indices> struct array_size<Sizes<Indices...> > { +static const size_t value = Sizes<Indices...>::count; +}; +template <std::size_t n, typename std::size_t... Indices> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::size_t array_get(const Sizes<Indices...>&) { + return get<n, internal::numeric_list<std::size_t, Indices...> >::value; +} +#else +template <std::size_t V1, std::size_t V2, std::size_t V3, std::size_t V4, std::size_t V5> struct array_size<const Sizes<V1,V2,V3,V4,V5> > { + static const size_t value = Sizes<V1,V2,V3,V4,V5>::count; +}; +template <std::size_t V1, std::size_t V2, std::size_t V3, std::size_t V4, std::size_t V5> struct array_size<Sizes<V1,V2,V3,V4,V5> > { + static const size_t value = Sizes<V1,V2,V3,V4,V5>::count; +}; +template <std::size_t n, std::size_t V1, std::size_t V2, std::size_t V3, std::size_t V4, std::size_t V5> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::size_t array_get(const Sizes<V1,V2,V3,V4,V5>& a) { + return get<n, typename Sizes<V1,V2,V3,V4,V5>::Base>::value; +}; + +#endif + + +template <typename Dims1, typename Dims2, size_t n> +struct sizes_match_up_to_dim { + static inline bool run(Dims1& dims1, Dims2& dims2) { + return (array_get<n>(dims1) == array_get<n>(dims2)) & + sizes_match_up_to_dim<Dims1, Dims2, n-1>::run(dims1, dims2); + } +}; +template <typename Dims1, typename Dims2> +struct sizes_match_up_to_dim<Dims1, Dims2, 0> { + static inline bool run(Dims1& dims1, Dims2& dims2) { + return (array_get<0>(dims1) == array_get<0>(dims2)); + } +}; + +} // end namespace internal + + +template <typename Dims1, typename Dims2> +bool dimensions_match(Dims1& dims1, Dims2& dims2) { + if (internal::array_size<Dims1>::value != internal::array_size<Dims2>::value) { + return false; + } + return internal::sizes_match_up_to_dim<Dims1, Dims2, internal::array_size<Dims1>::value-1>::run(dims1, dims2); +} + +} // end namespace Eigen + +#endif // EIGEN_CXX11_TENSOR_TENSOR_DIMENSIONS_H |