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Diffstat (limited to 'third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h')
| -rw-r--r-- | third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h | 677 |
1 files changed, 0 insertions, 677 deletions
diff --git a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h b/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h deleted file mode 100644 index de86c57f11..0000000000 --- a/third_party/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorVolumePatch.h +++ /dev/null @@ -1,677 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. - -#ifndef EIGEN_CXX11_TENSOR_TENSOR_VOLUME_PATCH_H -#define EIGEN_CXX11_TENSOR_TENSOR_VOLUME_PATCH_H - -namespace Eigen { - -/** \class TensorVolumePatch - * \ingroup CXX11_Tensor_Module - * - * \brief Patch extraction specialized for processing of volumetric data. - * This assumes that the input has a least 4 dimensions ordered as follows: - * - channels - * - planes - * - rows - * - columns - * - (optional) additional dimensions such as time or batch size. - * Calling the volume patch code with patch_planes, patch_rows, and patch_cols - * is equivalent to calling the regular patch extraction code with parameters - * d, patch_planes, patch_rows, patch_cols, and 1 for all the additional - * dimensions. - */ -namespace internal { -template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> -struct traits<TensorVolumePatchOp<Planes, Rows, Cols, XprType> > : public traits<XprType> -{ - typedef typename internal::remove_const<typename XprType::Scalar>::type 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<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> -struct eval<TensorVolumePatchOp<Planes, Rows, Cols, XprType>, Eigen::Dense> -{ - typedef const TensorVolumePatchOp<Planes, Rows, Cols, XprType>& type; -}; - -template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> -struct nested<TensorVolumePatchOp<Planes, Rows, Cols, XprType>, 1, typename eval<TensorVolumePatchOp<Planes, Rows, Cols, XprType> >::type> -{ - typedef TensorVolumePatchOp<Planes, Rows, Cols, XprType> type; -}; - -} // end namespace internal - -template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType> -class TensorVolumePatchOp : public TensorBase<TensorVolumePatchOp<Planes, Rows, Cols, XprType>, ReadOnlyAccessors> -{ - public: - typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Scalar Scalar; - typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Packet Packet; - typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; - typedef typename XprType::CoeffReturnType CoeffReturnType; - typedef typename XprType::PacketReturnType PacketReturnType; - typedef typename Eigen::internal::nested<TensorVolumePatchOp>::type Nested; - typedef typename Eigen::internal::traits<TensorVolumePatchOp>::StorageKind StorageKind; - typedef typename Eigen::internal::traits<TensorVolumePatchOp>::Index Index; - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorVolumePatchOp(const XprType& expr, DenseIndex patch_planes, DenseIndex patch_rows, DenseIndex patch_cols, - DenseIndex plane_strides, DenseIndex row_strides, DenseIndex col_strides, - DenseIndex in_plane_strides, DenseIndex in_row_strides, DenseIndex in_col_strides, - DenseIndex plane_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides, - PaddingType padding_type, Scalar padding_value) - : m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols), - m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides), - m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides), - m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides), - m_padding_explicit(false), m_padding_top_z(0), m_padding_bottom_z(0), m_padding_top(0), m_padding_bottom(0), m_padding_left(0), m_padding_right(0), - m_padding_type(padding_type), m_padding_value(padding_value) {} - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorVolumePatchOp(const XprType& expr, DenseIndex patch_planes, DenseIndex patch_rows, DenseIndex patch_cols, - DenseIndex plane_strides, DenseIndex row_strides, DenseIndex col_strides, - DenseIndex in_plane_strides, DenseIndex in_row_strides, DenseIndex in_col_strides, - DenseIndex plane_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides, - DenseIndex padding_top_z, DenseIndex padding_bottom_z, - DenseIndex padding_top, DenseIndex padding_bottom, - DenseIndex padding_left, DenseIndex padding_right, - Scalar padding_value) - : m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols), - m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides), - m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides), - m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides), - m_padding_explicit(true), m_padding_top_z(padding_top_z), m_padding_bottom_z(padding_bottom_z), m_padding_top(padding_top), m_padding_bottom(padding_bottom), - m_padding_left(padding_left), m_padding_right(padding_right), - m_padding_type(PADDING_VALID), m_padding_value(padding_value) {} - - EIGEN_DEVICE_FUNC - DenseIndex patch_planes() const { return m_patch_planes; } - EIGEN_DEVICE_FUNC - DenseIndex patch_rows() const { return m_patch_rows; } - EIGEN_DEVICE_FUNC - DenseIndex patch_cols() const { return m_patch_cols; } - EIGEN_DEVICE_FUNC - DenseIndex plane_strides() const { return m_plane_strides; } - EIGEN_DEVICE_FUNC - DenseIndex row_strides() const { return m_row_strides; } - EIGEN_DEVICE_FUNC - DenseIndex col_strides() const { return m_col_strides; } - EIGEN_DEVICE_FUNC - DenseIndex in_plane_strides() const { return m_in_plane_strides; } - EIGEN_DEVICE_FUNC - DenseIndex in_row_strides() const { return m_in_row_strides; } - EIGEN_DEVICE_FUNC - DenseIndex in_col_strides() const { return m_in_col_strides; } - EIGEN_DEVICE_FUNC - DenseIndex plane_inflate_strides() const { return m_plane_inflate_strides; } - EIGEN_DEVICE_FUNC - DenseIndex row_inflate_strides() const { return m_row_inflate_strides; } - EIGEN_DEVICE_FUNC - DenseIndex col_inflate_strides() const { return m_col_inflate_strides; } - EIGEN_DEVICE_FUNC - bool padding_explicit() const { return m_padding_explicit; } - EIGEN_DEVICE_FUNC - DenseIndex padding_top_z() const { return m_padding_top_z; } - EIGEN_DEVICE_FUNC - DenseIndex padding_bottom_z() const { return m_padding_bottom_z; } - EIGEN_DEVICE_FUNC - DenseIndex padding_top() const { return m_padding_top; } - EIGEN_DEVICE_FUNC - DenseIndex padding_bottom() const { return m_padding_bottom; } - EIGEN_DEVICE_FUNC - DenseIndex padding_left() const { return m_padding_left; } - EIGEN_DEVICE_FUNC - DenseIndex padding_right() const { return m_padding_right; } - EIGEN_DEVICE_FUNC - PaddingType padding_type() const { return m_padding_type; } - EIGEN_DEVICE_FUNC - Scalar padding_value() const { return m_padding_value; } - - EIGEN_DEVICE_FUNC - const typename internal::remove_all<typename XprType::Nested>::type& - expression() const { return m_xpr; } - - protected: - typename XprType::Nested m_xpr; - const DenseIndex m_patch_planes; - const DenseIndex m_patch_rows; - const DenseIndex m_patch_cols; - const DenseIndex m_plane_strides; - const DenseIndex m_row_strides; - const DenseIndex m_col_strides; - const DenseIndex m_in_plane_strides; - const DenseIndex m_in_row_strides; - const DenseIndex m_in_col_strides; - const DenseIndex m_plane_inflate_strides; - const DenseIndex m_row_inflate_strides; - const DenseIndex m_col_inflate_strides; - const bool m_padding_explicit; - const DenseIndex m_padding_top_z; - const DenseIndex m_padding_bottom_z; - const DenseIndex m_padding_top; - const DenseIndex m_padding_bottom; - const DenseIndex m_padding_left; - const DenseIndex m_padding_right; - const PaddingType m_padding_type; - const Scalar m_padding_value; -}; - - -// Eval as rvalue -template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename ArgType, typename Device> -struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, Device> -{ - typedef TensorVolumePatchOp<Planes, Rows, Cols, ArgType> XprType; - typedef typename XprType::Index Index; - static const int NumInputDims = internal::array_size<typename TensorEvaluator<ArgType, Device>::Dimensions>::value; - static const int NumDims = NumInputDims + 1; - typedef DSizes<Index, NumDims> Dimensions; - typedef typename internal::remove_const<typename XprType::Scalar>::type Scalar; - - enum { - IsAligned = false, - PacketAccess = TensorEvaluator<ArgType, Device>::PacketAccess, - BlockAccess = false, - Layout = TensorEvaluator<ArgType, Device>::Layout, - CoordAccess = NumDims == 6, - }; - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device) - : m_impl(op.expression(), device) - { - EIGEN_STATIC_ASSERT(NumDims >= 5, YOU_MADE_A_PROGRAMMING_MISTAKE); - - m_paddingValue = op.padding_value(); - - const typename TensorEvaluator<ArgType, Device>::Dimensions& input_dims = m_impl.dimensions(); - - // Cache a few variables. - if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { - m_inputDepth = input_dims[0]; - m_inputPlanes = input_dims[1]; - m_inputRows = input_dims[2]; - m_inputCols = input_dims[3]; - } else { - m_inputDepth = input_dims[NumInputDims-1]; - m_inputPlanes = input_dims[NumInputDims-2]; - m_inputRows = input_dims[NumInputDims-3]; - m_inputCols = input_dims[NumInputDims-4]; - } - - m_plane_strides = op.plane_strides(); - m_row_strides = op.row_strides(); - m_col_strides = op.col_strides(); - - // Input strides and effective input/patch size - m_in_plane_strides = op.in_plane_strides(); - m_in_row_strides = op.in_row_strides(); - m_in_col_strides = op.in_col_strides(); - m_plane_inflate_strides = op.plane_inflate_strides(); - m_row_inflate_strides = op.row_inflate_strides(); - m_col_inflate_strides = op.col_inflate_strides(); - - // The "effective" spatial size after inflating data with zeros. - m_input_planes_eff = (m_inputPlanes - 1) * m_plane_inflate_strides + 1; - m_input_rows_eff = (m_inputRows - 1) * m_row_inflate_strides + 1; - m_input_cols_eff = (m_inputCols - 1) * m_col_inflate_strides + 1; - m_patch_planes_eff = op.patch_planes() + (op.patch_planes() - 1) * (m_in_plane_strides - 1); - m_patch_rows_eff = op.patch_rows() + (op.patch_rows() - 1) * (m_in_row_strides - 1); - m_patch_cols_eff = op.patch_cols() + (op.patch_cols() - 1) * (m_in_col_strides - 1); - - if (op.padding_explicit()) { - m_outputPlanes = ceil((m_input_planes_eff + op.padding_top_z() + op.padding_bottom_z() - m_patch_planes_eff + 1.f) / static_cast<float>(m_plane_strides)); - m_outputRows = ceil((m_input_rows_eff + op.padding_top() + op.padding_bottom() - m_patch_rows_eff + 1.f) / static_cast<float>(m_row_strides)); - m_outputCols = ceil((m_input_cols_eff + op.padding_left() + op.padding_right() - m_patch_cols_eff + 1.f) / static_cast<float>(m_col_strides)); - m_planePaddingTop = op.padding_top_z(); - m_rowPaddingTop = op.padding_top(); - m_colPaddingLeft = op.padding_left(); - } else { - // Computing padding from the type - switch (op.padding_type()) { - case PADDING_VALID: - m_outputPlanes = ceil((m_input_planes_eff - m_patch_planes_eff + 1.f) / static_cast<float>(m_plane_strides)); - m_outputRows = ceil((m_input_rows_eff - m_patch_rows_eff + 1.f) / static_cast<float>(m_row_strides)); - m_outputCols = ceil((m_input_cols_eff - m_patch_cols_eff + 1.f) / static_cast<float>(m_col_strides)); - m_planePaddingTop = 0; - m_rowPaddingTop = 0; - m_colPaddingLeft = 0; - break; - case PADDING_SAME: { - m_outputPlanes = ceil(m_input_planes_eff / static_cast<float>(m_plane_strides)); - m_outputRows = ceil(m_input_rows_eff / static_cast<float>(m_row_strides)); - m_outputCols = ceil(m_input_cols_eff / static_cast<float>(m_col_strides)); - const Index dz = m_outputPlanes * m_plane_strides + m_patch_planes_eff - 1 - m_input_planes_eff; - const Index dy = m_outputRows * m_row_strides + m_patch_rows_eff - 1 - m_input_rows_eff; - const Index dx = m_outputCols * m_col_strides + m_patch_cols_eff - 1 - m_input_cols_eff; - m_planePaddingTop = dz - dz / 2; - m_rowPaddingTop = dy - dy / 2; - m_colPaddingLeft = dx - dx / 2; - break; - } - default: - eigen_assert(false && "unexpected padding"); - } - } - eigen_assert(m_outputRows > 0); - eigen_assert(m_outputCols > 0); - eigen_assert(m_outputPlanes > 0); - - // Dimensions for result of extraction. - if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { - // ColMajor - // 0: depth - // 1: patch_planes - // 2: patch_rows - // 3: patch_cols - // 4: number of patches - // 5 and beyond: anything else (such as batch). - m_dimensions[0] = input_dims[0]; - m_dimensions[1] = op.patch_planes(); - m_dimensions[2] = op.patch_rows(); - m_dimensions[3] = op.patch_cols(); - m_dimensions[4] = m_outputPlanes * m_outputRows * m_outputCols; - for (int i = 5; i < NumDims; ++i) { - m_dimensions[i] = input_dims[i-1]; - } - } else { - // RowMajor - // NumDims-1: depth - // NumDims-2: patch_planes - // NumDims-3: patch_rows - // NumDims-4: patch_cols - // NumDims-5: number of patches - // NumDims-6 and beyond: anything else (such as batch). - m_dimensions[NumDims-1] = input_dims[NumInputDims-1]; - m_dimensions[NumDims-2] = op.patch_planes(); - m_dimensions[NumDims-3] = op.patch_rows(); - m_dimensions[NumDims-4] = op.patch_cols(); - m_dimensions[NumDims-5] = m_outputPlanes * m_outputRows * m_outputCols; - for (int i = NumDims-6; i >= 0; --i) { - m_dimensions[i] = input_dims[i]; - } - } - - // Strides for the output tensor. - if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { - m_rowStride = m_dimensions[1]; - m_colStride = m_dimensions[2] * m_rowStride; - m_patchStride = m_colStride * m_dimensions[3] * m_dimensions[0]; - m_otherStride = m_patchStride * m_dimensions[4]; - } else { - m_rowStride = m_dimensions[NumDims-2]; - m_colStride = m_dimensions[NumDims-3] * m_rowStride; - m_patchStride = m_colStride * m_dimensions[NumDims-4] * m_dimensions[NumDims-1]; - m_otherStride = m_patchStride * m_dimensions[NumDims-5]; - } - - // Strides for navigating through the input tensor. - m_planeInputStride = m_inputDepth; - m_rowInputStride = m_inputDepth * m_inputPlanes; - m_colInputStride = m_inputDepth * m_inputRows * m_inputPlanes; - m_otherInputStride = m_inputDepth * m_inputRows * m_inputCols * m_inputPlanes; - - m_outputPlanesRows = m_outputPlanes * m_outputRows; - - // Fast representations of different variables. - m_fastOtherStride = internal::TensorIntDivisor<Index>(m_otherStride); - m_fastPatchStride = internal::TensorIntDivisor<Index>(m_patchStride); - m_fastColStride = internal::TensorIntDivisor<Index>(m_colStride); - m_fastRowStride = internal::TensorIntDivisor<Index>(m_rowStride); - m_fastInputRowStride = internal::TensorIntDivisor<Index>(m_row_inflate_strides); - m_fastInputColStride = internal::TensorIntDivisor<Index>(m_col_inflate_strides); - m_fastInputPlaneStride = internal::TensorIntDivisor<Index>(m_plane_inflate_strides); - m_fastInputColsEff = internal::TensorIntDivisor<Index>(m_input_cols_eff); - m_fastOutputPlanes = internal::TensorIntDivisor<Index>(m_outputPlanes); - m_fastOutputPlanesRows = internal::TensorIntDivisor<Index>(m_outputPlanesRows); - - if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { - m_fastOutputDepth = internal::TensorIntDivisor<Index>(m_dimensions[0]); - } else { - m_fastOutputDepth = internal::TensorIntDivisor<Index>(m_dimensions[NumDims-1]); - } - } - - typedef typename XprType::CoeffReturnType CoeffReturnType; - typedef typename XprType::PacketReturnType PacketReturnType; - - 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 - { - // Patch index corresponding to the passed in index. - const Index patchIndex = index / m_fastPatchStride; - - // Spatial offset within the patch. This has to be translated into 3D - // coordinates within the patch. - const Index patchOffset = (index - patchIndex * m_patchStride) / m_fastOutputDepth; - - // Batch, etc. - const Index otherIndex = (NumDims == 5) ? 0 : index / m_fastOtherStride; - const Index patch3DIndex = (NumDims == 5) ? patchIndex : (index - otherIndex * m_otherStride) / m_fastPatchStride; - - // Calculate column index in the input original tensor. - const Index colIndex = patch3DIndex / m_fastOutputPlanesRows; - const Index colOffset = patchOffset / m_fastColStride; - const Index inputCol = colIndex * m_col_strides + colOffset * m_in_col_strides - m_colPaddingLeft; - const Index origInputCol = (m_col_inflate_strides == 1) ? inputCol : ((inputCol >= 0) ? (inputCol / m_fastInputColStride) : 0); - if (inputCol < 0 || inputCol >= m_input_cols_eff || - ((m_col_inflate_strides != 1) && (inputCol != origInputCol * m_col_inflate_strides))) { - return Scalar(m_paddingValue); - } - - // Calculate row index in the original input tensor. - const Index rowIndex = (patch3DIndex - colIndex * m_outputPlanesRows) / m_fastOutputPlanes; - const Index rowOffset = (patchOffset - colOffset * m_colStride) / m_fastRowStride; - const Index inputRow = rowIndex * m_row_strides + rowOffset * m_in_row_strides - m_rowPaddingTop; - const Index origInputRow = (m_row_inflate_strides == 1) ? inputRow : ((inputRow >= 0) ? (inputRow / m_fastInputRowStride) : 0); - if (inputRow < 0 || inputRow >= m_input_rows_eff || - ((m_row_inflate_strides != 1) && (inputRow != origInputRow * m_row_inflate_strides))) { - return Scalar(m_paddingValue); - } - - // Calculate plane index in the original input tensor. - const Index planeIndex = (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex)); - const Index planeOffset = patchOffset - colOffset * m_colStride - rowOffset * m_rowStride; - const Index inputPlane = planeIndex * m_plane_strides + planeOffset * m_in_plane_strides - m_planePaddingTop; - const Index origInputPlane = (m_plane_inflate_strides == 1) ? inputPlane : ((inputPlane >= 0) ? (inputPlane / m_fastInputPlaneStride) : 0); - if (inputPlane < 0 || inputPlane >= m_input_planes_eff || - ((m_plane_inflate_strides != 1) && (inputPlane != origInputPlane * m_plane_inflate_strides))) { - return Scalar(m_paddingValue); - } - - const int depth_index = static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 0 : NumDims - 1; - const Index depth = index - (index / m_fastOutputDepth) * m_dimensions[depth_index]; - - const Index inputIndex = depth + - origInputRow * m_rowInputStride + - origInputCol * m_colInputStride + - origInputPlane * m_planeInputStride + - otherIndex * m_otherInputStride; - - return m_impl.coeff(inputIndex); - } - - template<int LoadMode> - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const - { - const Index packetSize = internal::unpacket_traits<PacketReturnType>::size; - EIGEN_STATIC_ASSERT(packetSize > 1, YOU_MADE_A_PROGRAMMING_MISTAKE) - eigen_assert(index+packetSize-1 < dimensions().TotalSize()); - - if (m_in_row_strides != 1 || m_in_col_strides != 1 || m_row_inflate_strides != 1 || m_col_inflate_strides != 1 || - m_in_plane_strides != 1 || m_plane_inflate_strides != 1) { - return packetWithPossibleZero(index); - } - - const Index indices[2] = {index, index + packetSize - 1}; - const Index patchIndex = indices[0] / m_fastPatchStride; - if (patchIndex != indices[1] / m_fastPatchStride) { - return packetWithPossibleZero(index); - } - const Index otherIndex = (NumDims == 5) ? 0 : indices[0] / m_fastOtherStride; - eigen_assert(otherIndex == indices[1] / m_fastOtherStride); - - // Find the offset of the element wrt the location of the first element. - const Index patchOffsets[2] = {(indices[0] - patchIndex * m_patchStride) / m_fastOutputDepth, - (indices[1] - patchIndex * m_patchStride) / m_fastOutputDepth}; - - const Index patch3DIndex = (NumDims == 5) ? patchIndex : (indices[0] - otherIndex * m_otherStride) / m_fastPatchStride; - eigen_assert(patch3DIndex == (indices[1] - otherIndex * m_otherStride) / m_fastPatchStride); - - const Index colIndex = patch3DIndex / m_fastOutputPlanesRows; - const Index colOffsets[2] = { - patchOffsets[0] / m_fastColStride, - patchOffsets[1] / m_fastColStride}; - - // Calculate col indices in the original input tensor. - const Index inputCols[2] = { - colIndex * m_col_strides + colOffsets[0] - m_colPaddingLeft, - colIndex * m_col_strides + colOffsets[1] - m_colPaddingLeft}; - if (inputCols[1] < 0 || inputCols[0] >= m_inputCols) { - return internal::pset1<PacketReturnType>(Scalar(m_paddingValue)); - } - - if (inputCols[0] != inputCols[1]) { - return packetWithPossibleZero(index); - } - - const Index rowIndex = (patch3DIndex - colIndex * m_outputPlanesRows) / m_fastOutputPlanes; - const Index rowOffsets[2] = { - (patchOffsets[0] - colOffsets[0] * m_colStride) / m_fastRowStride, - (patchOffsets[1] - colOffsets[1] * m_colStride) / m_fastRowStride}; - eigen_assert(rowOffsets[0] <= rowOffsets[1]); - // Calculate col indices in the original input tensor. - const Index inputRows[2] = { - rowIndex * m_row_strides + rowOffsets[0] - m_rowPaddingTop, - rowIndex * m_row_strides + rowOffsets[1] - m_rowPaddingTop}; - - if (inputRows[1] < 0 || inputRows[0] >= m_inputRows) { - return internal::pset1<PacketReturnType>(Scalar(m_paddingValue)); - } - - if (inputRows[0] != inputRows[1]) { - return packetWithPossibleZero(index); - } - - const Index planeIndex = (patch3DIndex - m_outputPlanes * (colIndex * m_outputRows + rowIndex)); - const Index planeOffsets[2] = { - patchOffsets[0] - colOffsets[0] * m_colStride - rowOffsets[0] * m_rowStride, - patchOffsets[1] - colOffsets[1] * m_colStride - rowOffsets[1] * m_rowStride}; - eigen_assert(planeOffsets[0] <= planeOffsets[1]); - const Index inputPlanes[2] = { - planeIndex * m_plane_strides + planeOffsets[0] - m_planePaddingTop, - planeIndex * m_plane_strides + planeOffsets[1] - m_planePaddingTop}; - - if (inputPlanes[1] < 0 || inputPlanes[0] >= m_inputPlanes) { - return internal::pset1<PacketReturnType>(Scalar(m_paddingValue)); - } - - if (inputPlanes[0] >= 0 && inputPlanes[1] < m_inputPlanes) { - // no padding - const int depth_index = static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 0 : NumDims - 1; - const Index depth = index - (index / m_fastOutputDepth) * m_dimensions[depth_index]; - const Index inputIndex = depth + - inputRows[0] * m_rowInputStride + - inputCols[0] * m_colInputStride + - m_planeInputStride * inputPlanes[0] + - otherIndex * m_otherInputStride; - return m_impl.template packet<Unaligned>(inputIndex); - } - - return packetWithPossibleZero(index); - } - - EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; } - - const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; } - - Index planePaddingTop() const { return m_planePaddingTop; } - Index rowPaddingTop() const { return m_rowPaddingTop; } - Index colPaddingLeft() const { return m_colPaddingLeft; } - Index outputPlanes() const { return m_outputPlanes; } - Index outputRows() const { return m_outputRows; } - Index outputCols() const { return m_outputCols; } - Index userPlaneStride() const { return m_plane_strides; } - Index userRowStride() const { return m_row_strides; } - Index userColStride() const { return m_col_strides; } - Index userInPlaneStride() const { return m_in_plane_strides; } - Index userInRowStride() const { return m_in_row_strides; } - Index userInColStride() const { return m_in_col_strides; } - Index planeInflateStride() const { return m_plane_inflate_strides; } - Index rowInflateStride() const { return m_row_inflate_strides; } - Index colInflateStride() const { return m_col_inflate_strides; } - - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(const array<Index, NumDims>& coords) const - { - // ColMajor - // 0: depth, 1: patch_planes, 2: patch_rows, 3: patch_cols, 4: number of patches, 5: batches - // RowMajor - // 0: batches, 1: number of patches, 2: patch_cols , 3: patch_rows, 4: patch_planes, 5: depth - const Index patch3DIndex = coords[static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 4 : 1]; - const Index colOffset = coords[static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 3 : 2]; - const Index rowOffset= coords[static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 2 : 3]; - const Index planeOffset = coords[static_cast<int>(Layout) == static_cast<int>(ColMajor) ? 1 : 4]; - - array<Index, NumDims-1> inputCoords; - - const Index colIndex = patch3DIndex / m_fastOutputPlanesRows; - const Index inputCol = colIndex * m_col_strides + colOffset * m_in_col_strides - m_colPaddingLeft; - const Index origInputCol = (m_col_inflate_strides == 1) ? inputCol : ((inputCol >= 0) ? (inputCol / m_fastInputColStride) : 0); - if (inputCol < 0 || inputCol >= m_input_cols_eff || - ((m_col_inflate_strides != 1) && (inputCol != origInputCol * m_col_inflate_strides))) { - return Scalar(m_paddingValue); - } - - const Index rowIndex = (patch3DIndex - colIndex * m_outputPlanesRows) / m_fastOutputPlanes; - const Index inputRow = rowIndex * m_row_strides + rowOffset * m_in_row_strides - m_rowPaddingTop; - const Index origInputRow = (m_row_inflate_strides == 1) ? inputRow : ((inputRow >= 0) ? (inputRow / m_fastInputRowStride) : 0); - if (inputRow < 0 || inputRow >= m_input_rows_eff || - ((m_row_inflate_strides != 1) && (inputRow != origInputRow * m_row_inflate_strides))) { - return Scalar(m_paddingValue); - } - - const Index planeIndex = patch3DIndex - colIndex * m_outputPlanesRows - rowIndex * m_outputRows; - const Index inputPlane = planeIndex * m_plane_strides + planeOffset * m_in_plane_strides - m_planePaddingTop; - const Index origInputPlane = (m_plane_inflate_strides == 1) ? inputPlane : ((inputPlane >= 0) ? (inputPlane / m_fastInputPlaneStride) : 0); - if (inputPlane < 0 || inputPlane >= m_input_planes_eff || - ((m_plane_inflate_strides != 1) && (inputPlane != origInputPlane * m_plane_inflate_strides))) { - return Scalar(m_paddingValue); - } - - if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { - inputCoords[0] = coords[0]; // depth - inputCoords[1] = origInputPlane; - inputCoords[2] = origInputRow; - inputCoords[3] = origInputCol; - inputCoords[4] = coords[5]; // batch - } else { - inputCoords[4] = coords[5]; // depth - inputCoords[3] = origInputPlane; - inputCoords[2] = origInputRow; - inputCoords[1] = origInputCol; - inputCoords[0] = coords[0]; // batch - } - if (TensorEvaluator<ArgType, Device>::CoordAccess) { - return m_impl.coeff(inputCoords); - } else { - Index inputIndex; - if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { - inputIndex = - inputCoords[4] * m_otherInputStride + - inputCoords[3] * m_colInputStride + - inputCoords[2] * m_rowInputStride + - inputCoords[1] * m_planeInputStride + - inputCoords[0]; - } else { - inputIndex = - inputCoords[0] * m_otherInputStride + - inputCoords[1] * m_colInputStride + - inputCoords[2] * m_rowInputStride + - inputCoords[3] * m_planeInputStride + - inputCoords[4]; - } - return m_impl.coeff(inputIndex); - } - } - - protected: - EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packetWithPossibleZero(Index index) const - { - const int packetSize = internal::unpacket_traits<PacketReturnType>::size; - EIGEN_ALIGN_DEFAULT typename internal::remove_const<CoeffReturnType>::type values[packetSize]; - for (int i = 0; i < packetSize; ++i) { - values[i] = coeff(index+i); - } - PacketReturnType rslt = internal::pload<PacketReturnType>(values); - return rslt; - } - - Dimensions m_dimensions; - - // Parameters passed to the costructor. - Index m_plane_strides; - Index m_row_strides; - Index m_col_strides; - - Index m_outputPlanes; - Index m_outputRows; - Index m_outputCols; - - Index m_planePaddingTop; - Index m_rowPaddingTop; - Index m_colPaddingLeft; - - Index m_in_plane_strides; - Index m_in_row_strides; - Index m_in_col_strides; - - Index m_plane_inflate_strides; - Index m_row_inflate_strides; - Index m_col_inflate_strides; - - // Cached input size. - Index m_inputDepth; - Index m_inputPlanes; - Index m_inputRows; - Index m_inputCols; - - // Other cached variables. - Index m_outputPlanesRows; - - // Effective input/patch post-inflation size. - Index m_input_planes_eff; - Index m_input_rows_eff; - Index m_input_cols_eff; - Index m_patch_planes_eff; - Index m_patch_rows_eff; - Index m_patch_cols_eff; - - // Strides for the output tensor. - Index m_otherStride; - Index m_patchStride; - Index m_rowStride; - Index m_colStride; - - // Strides for the input tensor. - Index m_planeInputStride; - Index m_rowInputStride; - Index m_colInputStride; - Index m_otherInputStride; - - internal::TensorIntDivisor<Index> m_fastOtherStride; - internal::TensorIntDivisor<Index> m_fastPatchStride; - internal::TensorIntDivisor<Index> m_fastColStride; - internal::TensorIntDivisor<Index> m_fastRowStride; - internal::TensorIntDivisor<Index> m_fastInputPlaneStride; - internal::TensorIntDivisor<Index> m_fastInputRowStride; - internal::TensorIntDivisor<Index> m_fastInputColStride; - internal::TensorIntDivisor<Index> m_fastInputColsEff; - internal::TensorIntDivisor<Index> m_fastOutputPlanesRows; - internal::TensorIntDivisor<Index> m_fastOutputPlanes; - internal::TensorIntDivisor<Index> m_fastOutputDepth; - - Scalar m_paddingValue; - - TensorEvaluator<ArgType, Device> m_impl; -}; - - -} // end namespace Eigen - -#endif // EIGEN_CXX11_TENSOR_TENSOR_VOLUME_PATCH_H |