| // 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_PATCH_H |
| #define EIGEN_CXX11_TENSOR_TENSOR_PATCH_H |
| |
| namespace Eigen { |
| |
| /** \class TensorPatch |
| * \ingroup CXX11_Tensor_Module |
| * |
| * \brief Tensor patch class. |
| * |
| * |
| */ |
| namespace internal { |
| template<typename PatchDim, typename XprType> |
| struct traits<TensorPatchOp<PatchDim, XprType> > : public traits<XprType> |
| { |
| typedef typename XprType::Scalar Scalar; |
| typedef traits<XprType> XprTraits; |
| typedef typename packet_traits<Scalar>::type Packet; |
| typedef typename XprTraits::StorageKind StorageKind; |
| typedef typename XprTraits::Index Index; |
| typedef typename XprType::Nested Nested; |
| typedef typename remove_reference<Nested>::type _Nested; |
| static const int NumDimensions = XprTraits::NumDimensions + 1; |
| static const int Layout = XprTraits::Layout; |
| }; |
| |
| template<typename PatchDim, typename XprType> |
| struct eval<TensorPatchOp<PatchDim, XprType>, Eigen::Dense> |
| { |
| typedef const TensorPatchOp<PatchDim, XprType>& type; |
| }; |
| |
| template<typename PatchDim, typename XprType> |
| struct nested<TensorPatchOp<PatchDim, XprType>, 1, typename eval<TensorPatchOp<PatchDim, XprType> >::type> |
| { |
| typedef TensorPatchOp<PatchDim, XprType> type; |
| }; |
| |
| } // end namespace internal |
| |
| |
| |
| template<typename PatchDim, typename XprType> |
| class TensorPatchOp : public TensorBase<TensorPatchOp<PatchDim, XprType>, ReadOnlyAccessors> |
| { |
| public: |
| typedef typename Eigen::internal::traits<TensorPatchOp>::Scalar Scalar; |
| typedef typename Eigen::internal::traits<TensorPatchOp>::Packet Packet; |
| typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; |
| typedef typename XprType::CoeffReturnType CoeffReturnType; |
| typedef typename XprType::PacketReturnType PacketReturnType; |
| typedef typename Eigen::internal::nested<TensorPatchOp>::type Nested; |
| typedef typename Eigen::internal::traits<TensorPatchOp>::StorageKind StorageKind; |
| typedef typename Eigen::internal::traits<TensorPatchOp>::Index Index; |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorPatchOp(const XprType& expr, const PatchDim& patch_dims) |
| : m_xpr(expr), m_patch_dims(patch_dims) {} |
| |
| EIGEN_DEVICE_FUNC |
| const PatchDim& patch_dims() const { return m_patch_dims; } |
| |
| EIGEN_DEVICE_FUNC |
| const typename internal::remove_all<typename XprType::Nested>::type& |
| expression() const { return m_xpr; } |
| |
| protected: |
| typename XprType::Nested m_xpr; |
| const PatchDim m_patch_dims; |
| }; |
| |
| |
| // Eval as rvalue |
| template<typename PatchDim, typename ArgType, typename Device> |
| struct TensorEvaluator<const TensorPatchOp<PatchDim, ArgType>, Device> |
| { |
| typedef TensorPatchOp<PatchDim, ArgType> XprType; |
| typedef typename XprType::Index Index; |
| static const int NumDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value + 1; |
| typedef DSizes<Index, NumDims> Dimensions; |
| typedef typename XprType::Scalar Scalar; |
| typedef typename XprType::CoeffReturnType CoeffReturnType; |
| typedef typename XprType::PacketReturnType PacketReturnType; |
| static const int PacketSize = internal::unpacket_traits<PacketReturnType>::size; |
| |
| enum { |
| IsAligned = false, |
| PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess, |
| BlockAccess = false, |
| Layout = TensorEvaluator<ArgType, Device>::Layout, |
| CoordAccess = true, |
| RawAccess = false |
| }; |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device) |
| : m_impl(op.expression(), device) |
| { |
| Index num_patches = 1; |
| const typename TensorEvaluator<ArgType, Device>::Dimensions& input_dims = m_impl.dimensions(); |
| const PatchDim& patch_dims = op.patch_dims(); |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { |
| for (int i = 0; i < NumDims-1; ++i) { |
| m_dimensions[i] = patch_dims[i]; |
| num_patches *= (input_dims[i] - patch_dims[i] + 1); |
| } |
| m_dimensions[NumDims-1] = num_patches; |
| |
| m_inputStrides[0] = 1; |
| m_patchStrides[0] = 1; |
| for (int i = 1; i < NumDims-1; ++i) { |
| m_inputStrides[i] = m_inputStrides[i-1] * input_dims[i-1]; |
| m_patchStrides[i] = m_patchStrides[i-1] * (input_dims[i-1] - patch_dims[i-1] + 1); |
| } |
| m_outputStrides[0] = 1; |
| for (int i = 1; i < NumDims; ++i) { |
| m_outputStrides[i] = m_outputStrides[i-1] * m_dimensions[i-1]; |
| } |
| } else { |
| for (int i = 0; i < NumDims-1; ++i) { |
| m_dimensions[i+1] = patch_dims[i]; |
| num_patches *= (input_dims[i] - patch_dims[i] + 1); |
| } |
| m_dimensions[0] = num_patches; |
| |
| m_inputStrides[NumDims-2] = 1; |
| m_patchStrides[NumDims-2] = 1; |
| for (int i = NumDims-3; i >= 0; --i) { |
| m_inputStrides[i] = m_inputStrides[i+1] * input_dims[i+1]; |
| m_patchStrides[i] = m_patchStrides[i+1] * (input_dims[i+1] - patch_dims[i+1] + 1); |
| } |
| m_outputStrides[NumDims-1] = 1; |
| for (int i = NumDims-2; i >= 0; --i) { |
| m_outputStrides[i] = m_outputStrides[i+1] * m_dimensions[i+1]; |
| } |
| } |
| } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) { |
| m_impl.evalSubExprsIfNeeded(NULL); |
| return true; |
| } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() { |
| m_impl.cleanup(); |
| } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const |
| { |
| Index output_stride_index = (static_cast<int>(Layout) == static_cast<int>(ColMajor)) ? NumDims - 1 : 0; |
| // Find the location of the first element of the patch. |
| Index patchIndex = index / m_outputStrides[output_stride_index]; |
| // Find the offset of the element wrt the location of the first element. |
| Index patchOffset = index - patchIndex * m_outputStrides[output_stride_index]; |
| Index inputIndex = 0; |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { |
| for (int i = NumDims - 2; i > 0; --i) { |
| const Index patchIdx = patchIndex / m_patchStrides[i]; |
| patchIndex -= patchIdx * m_patchStrides[i]; |
| const Index offsetIdx = patchOffset / m_outputStrides[i]; |
| patchOffset -= offsetIdx * m_outputStrides[i]; |
| inputIndex += (patchIdx + offsetIdx) * m_inputStrides[i]; |
| } |
| } else { |
| for (int i = 0; i < NumDims - 2; ++i) { |
| const Index patchIdx = patchIndex / m_patchStrides[i]; |
| patchIndex -= patchIdx * m_patchStrides[i]; |
| const Index offsetIdx = patchOffset / m_outputStrides[i+1]; |
| patchOffset -= offsetIdx * m_outputStrides[i+1]; |
| inputIndex += (patchIdx + offsetIdx) * m_inputStrides[i]; |
| } |
| } |
| inputIndex += (patchIndex + patchOffset); |
| return m_impl.coeff(inputIndex); |
| } |
| |
| template<int LoadMode> |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const |
| { |
| const int packetSize = internal::unpacket_traits<PacketReturnType>::size; |
| EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE) |
| eigen_assert(index+packetSize-1 < dimensions().TotalSize()); |
| |
| Index output_stride_index = (static_cast<int>(Layout) == static_cast<int>(ColMajor)) ? NumDims - 1 : 0; |
| Index indices[2] = {index, index + packetSize - 1}; |
| Index patchIndices[2] = {indices[0] / m_outputStrides[output_stride_index], |
| indices[1] / m_outputStrides[output_stride_index]}; |
| Index patchOffsets[2] = {indices[0] - patchIndices[0] * m_outputStrides[output_stride_index], |
| indices[1] - patchIndices[1] * m_outputStrides[output_stride_index]}; |
| |
| Index inputIndices[2] = {0, 0}; |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { |
| for (int i = NumDims - 2; i > 0; --i) { |
| const Index patchIdx[2] = {patchIndices[0] / m_patchStrides[i], |
| patchIndices[1] / m_patchStrides[i]}; |
| patchIndices[0] -= patchIdx[0] * m_patchStrides[i]; |
| patchIndices[1] -= patchIdx[1] * m_patchStrides[i]; |
| |
| const Index offsetIdx[2] = {patchOffsets[0] / m_outputStrides[i], |
| patchOffsets[1] / m_outputStrides[i]}; |
| patchOffsets[0] -= offsetIdx[0] * m_outputStrides[i]; |
| patchOffsets[1] -= offsetIdx[1] * m_outputStrides[i]; |
| |
| inputIndices[0] += (patchIdx[0] + offsetIdx[0]) * m_inputStrides[i]; |
| inputIndices[1] += (patchIdx[1] + offsetIdx[1]) * m_inputStrides[i]; |
| } |
| } else { |
| for (int i = 0; i < NumDims - 2; ++i) { |
| const Index patchIdx[2] = {patchIndices[0] / m_patchStrides[i], |
| patchIndices[1] / m_patchStrides[i]}; |
| patchIndices[0] -= patchIdx[0] * m_patchStrides[i]; |
| patchIndices[1] -= patchIdx[1] * m_patchStrides[i]; |
| |
| const Index offsetIdx[2] = {patchOffsets[0] / m_outputStrides[i+1], |
| patchOffsets[1] / m_outputStrides[i+1]}; |
| patchOffsets[0] -= offsetIdx[0] * m_outputStrides[i+1]; |
| patchOffsets[1] -= offsetIdx[1] * m_outputStrides[i+1]; |
| |
| inputIndices[0] += (patchIdx[0] + offsetIdx[0]) * m_inputStrides[i]; |
| inputIndices[1] += (patchIdx[1] + offsetIdx[1]) * m_inputStrides[i]; |
| } |
| } |
| inputIndices[0] += (patchIndices[0] + patchOffsets[0]); |
| inputIndices[1] += (patchIndices[1] + patchOffsets[1]); |
| |
| if (inputIndices[1] - inputIndices[0] == packetSize - 1) { |
| PacketReturnType rslt = m_impl.template packet<Unaligned>(inputIndices[0]); |
| return rslt; |
| } |
| else { |
| EIGEN_ALIGN_DEFAULT CoeffReturnType values[packetSize]; |
| values[0] = m_impl.coeff(inputIndices[0]); |
| values[packetSize-1] = m_impl.coeff(inputIndices[1]); |
| for (int i = 1; i < packetSize-1; ++i) { |
| values[i] = coeff(index+i); |
| } |
| PacketReturnType rslt = internal::pload<PacketReturnType>(values); |
| return rslt; |
| } |
| } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(const array<Index, NumDims>& coords) const |
| { |
| Index patch_coord_idx = Layout == ColMajor ? NumDims - 1 : 0; |
| // Location of the first element of the patch. |
| const Index patchIndex = coords[patch_coord_idx]; |
| |
| if (TensorEvaluator<ArgType, Device>::CoordAccess) { |
| array<Index, NumDims-1> inputCoords; |
| if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { |
| for (int i = NumDims - 2; i > 0; --i) { |
| const Index patchIdx = patchIndex / m_patchStrides[i]; |
| patchIndex -= patchIdx * m_patchStrides[i]; |
| const Index offsetIdx = coords[i]; |
| inputCoords[i] = coords[i] + patchIdx; |
| } |
| } else { |
| for (int i = 0; i < NumDims - 2; ++i) { |
| const Index patchIdx = patchIndex / m_patchStrides[i]; |
| patchIndex -= patchIdx * m_patchStrides[i]; |
| const Index offsetIdx = coords[i+1]; |
| inputCoords[i] = coords[i+1] + patchIdx; |
| } |
| } |
| Index coords_idx = Layout == ColMajor ? 0 : NumDims - 1; |
| inputCoords[0] = (patchIndex + coords[coords_idx]); |
| return m_impl.coeff(inputCoords); |
| } |
| else { |
| Index inputIndex = 0; |
| if (Layout == ColMajor) { |
| for (int i = NumDims - 2; i > 0; --i) { |
| const Index patchIdx = patchIndex / m_patchStrides[i]; |
| patchIndex -= patchIdx * m_patchStrides[i]; |
| const Index offsetIdx = coords[i]; |
| inputIndex += (patchIdx + offsetIdx) * m_inputStrides[i]; |
| } |
| } else { |
| for (int i = 0; i < NumDims - 2; ++i) { |
| const Index patchIdx = patchIndex / m_patchStrides[i]; |
| patchIndex -= patchIdx * m_patchStrides[i]; |
| const Index offsetIdx = coords[i+1]; |
| inputIndex += (patchIdx + offsetIdx) * m_inputStrides[i]; |
| } |
| } |
| Index coords_idx = Layout == ColMajor ? 0 : NumDims - 1; |
| inputIndex += (patchIndex + coords[coords_idx]); |
| return m_impl.coeff(inputIndex); |
| } |
| } |
| |
| EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } |
| |
| EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(bool vectorized) const { |
| const double compute_cost = NumDims * (TensorOpCost::DivCost<Index>() + |
| TensorOpCost::MulCost<Index>() + |
| 2 * TensorOpCost::AddCost<Index>()); |
| return m_impl.costPerCoeff(vectorized) + |
| TensorOpCost(0, 0, compute_cost, vectorized, PacketSize); |
| } |
| |
| protected: |
| Dimensions m_dimensions; |
| array<Index, NumDims> m_outputStrides; |
| array<Index, NumDims-1> m_inputStrides; |
| array<Index, NumDims-1> m_patchStrides; |
| |
| TensorEvaluator<ArgType, Device> m_impl; |
| }; |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_CXX11_TENSOR_TENSOR_PATCH_H |
