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Add support for RowOrder reshaped
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@ -21,7 +21,7 @@ namespace Eigen {
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* \tparam XprType the type of the expression in which we are taking a reshape
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* \tparam XprType the type of the expression in which we are taking a reshape
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* \tparam Rows the number of rows of the reshape we are taking at compile time (optional)
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* \tparam Rows the number of rows of the reshape we are taking at compile time (optional)
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* \tparam Cols the number of columns of the reshape we are taking at compile time (optional)
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* \tparam Cols the number of columns of the reshape we are taking at compile time (optional)
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* \tparam Order
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* \tparam Order can be ColMajor or RowMajor, default is ColMajor.
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*
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*
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* This class represents an expression of either a fixed-size or dynamic-size reshape.
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* This class represents an expression of either a fixed-size or dynamic-size reshape.
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* It is the return type of DenseBase::reshaped(NRowsType,NColsType) and
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* It is the return type of DenseBase::reshaped(NRowsType,NColsType) and
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@ -68,9 +68,8 @@ struct traits<Reshaped<XprType, Rows, Cols, Order> > : traits<XprType>
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: Dynamic,
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: Dynamic,
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OuterStrideAtCompileTime = Dynamic,
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OuterStrideAtCompileTime = Dynamic,
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InOrder = Order,
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HasDirectAccess = internal::has_direct_access<XprType>::ret
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HasDirectAccess = internal::has_direct_access<XprType>::ret
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&& (Order==int(AutoOrderValue) || Order==int(XpxStorageOrder))
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&& (Order==int(XpxStorageOrder))
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&& ((evaluator<XprType>::Flags&LinearAccessBit)==LinearAccessBit),
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&& ((evaluator<XprType>::Flags&LinearAccessBit)==LinearAccessBit),
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MaskPacketAccessBit = (InnerSize == Dynamic || (InnerSize % packet_traits<Scalar>::size) == 0)
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MaskPacketAccessBit = (InnerSize == Dynamic || (InnerSize % packet_traits<Scalar>::size) == 0)
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@ -324,11 +323,20 @@ struct reshaped_evaluator<ArgType, Rows, Cols, Order, /* HasDirectAccess */ fals
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typedef std::pair<Index, Index> RowCol;
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typedef std::pair<Index, Index> RowCol;
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inline RowCol index_remap(Index rowId, Index colId) const {
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inline RowCol index_remap(Index rowId, Index colId) const
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const Index nth_elem_idx = colId * m_xpr.rows() + rowId;
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{
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const Index actual_col = nth_elem_idx / m_xpr.nestedExpression().rows();
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if(Order==ColMajor)
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const Index actual_row = nth_elem_idx % m_xpr.nestedExpression().rows();
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{
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return RowCol(actual_row, actual_col);
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const Index nth_elem_idx = colId * m_xpr.rows() + rowId;
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return RowCol(nth_elem_idx % m_xpr.nestedExpression().rows(),
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nth_elem_idx / m_xpr.nestedExpression().rows());
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}
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else
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{
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const Index nth_elem_idx = colId + rowId * m_xpr.cols();
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return RowCol(nth_elem_idx / m_xpr.nestedExpression().cols(),
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nth_elem_idx % m_xpr.nestedExpression().cols());
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}
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}
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}
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EIGEN_DEVICE_FUNC
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EIGEN_DEVICE_FUNC
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@ -40,10 +40,12 @@ reshaped(NRowsType nRows, NColsType nCols)
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template<typename NRowsType, typename NColsType, typename OrderType>
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template<typename NRowsType, typename NColsType, typename OrderType>
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EIGEN_DEVICE_FUNC
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EIGEN_DEVICE_FUNC
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inline Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>
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inline Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
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OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>
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reshaped(NRowsType nRows, NColsType nCols, OrderType)
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reshaped(NRowsType nRows, NColsType nCols, OrderType)
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{
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{
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return Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>(
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return Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
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OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>(
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derived(), internal::get_runtime_value(nRows), internal::get_runtime_value(nCols));
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derived(), internal::get_runtime_value(nRows), internal::get_runtime_value(nCols));
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}
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}
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@ -59,10 +61,12 @@ reshaped(NRowsType nRows, NColsType nCols) const
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template<typename NRowsType, typename NColsType, typename OrderType>
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template<typename NRowsType, typename NColsType, typename OrderType>
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EIGEN_DEVICE_FUNC
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EIGEN_DEVICE_FUNC
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inline const Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>
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inline const Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
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OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>
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reshaped(NRowsType nRows, NColsType nCols, OrderType) const
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reshaped(NRowsType nRows, NColsType nCols, OrderType) const
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{
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{
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return Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>(
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return Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
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OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>(
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derived(), internal::get_runtime_value(nRows), internal::get_runtime_value(nCols));
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derived(), internal::get_runtime_value(nRows), internal::get_runtime_value(nCols));
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}
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}
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108
test/reshape.cpp
108
test/reshape.cpp
@ -1,6 +1,7 @@
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// This file is part of Eigen, a lightweight C++ template library
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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// for linear algebra.
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//
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//
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// Copyright (C) 2017 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2014 yoco <peter.xiau@gmail.com>
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// Copyright (C) 2014 yoco <peter.xiau@gmail.com>
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//
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// This Source Code Form is subject to the terms of the Mozilla
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@ -9,45 +10,44 @@
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#include "main.h"
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#include "main.h"
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using Eigen::Map;
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// just test a 4x4 matrix, enumerate all combination manually
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using Eigen::MatrixXi;
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// just test a 4x4 matrix, enumerate all combination manually,
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// so I don't have to do template-meta-programming here.
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template <typename MatType>
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template <typename MatType>
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void reshape_all_size(MatType m)
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void reshape4x4(MatType m)
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{
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{
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typedef Eigen::Map<MatrixXi> MapMat;
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if((MatType::Flags&RowMajorBit)==0)
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// dynamic
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{
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VERIFY_IS_EQUAL((m.reshaped( 1, 16)), MapMat(m.data(), 1, 16));
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typedef Map<MatrixXi> MapMat;
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VERIFY_IS_EQUAL((m.reshaped( 2, 8)), MapMat(m.data(), 2, 8));
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// dynamic
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VERIFY_IS_EQUAL((m.reshaped( 4, 4)), MapMat(m.data(), 4, 4));
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VERIFY_IS_EQUAL((m.reshaped( 1, 16)), MapMat(m.data(), 1, 16));
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VERIFY_IS_EQUAL((m.reshaped( 8, 2)), MapMat(m.data(), 8, 2));
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VERIFY_IS_EQUAL((m.reshaped( 2, 8)), MapMat(m.data(), 2, 8));
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VERIFY_IS_EQUAL((m.reshaped(16, 1)), MapMat(m.data(), 16, 1));
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VERIFY_IS_EQUAL((m.reshaped( 4, 4)), MapMat(m.data(), 4, 4));
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VERIFY_IS_EQUAL((m.reshaped( 8, 2)), MapMat(m.data(), 8, 2));
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VERIFY_IS_EQUAL((m.reshaped(16, 1)), MapMat(m.data(), 16, 1));
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// static
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// static
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VERIFY_IS_EQUAL(m.reshaped(fix< 1>, fix<16>), MapMat(m.data(), 1, 16));
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VERIFY_IS_EQUAL(m.reshaped(fix< 1>, fix<16>), MapMat(m.data(), 1, 16));
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VERIFY_IS_EQUAL(m.reshaped(fix< 2>, fix< 8>), MapMat(m.data(), 2, 8));
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VERIFY_IS_EQUAL(m.reshaped(fix< 2>, fix< 8>), MapMat(m.data(), 2, 8));
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VERIFY_IS_EQUAL(m.reshaped(fix< 4>, fix< 4>), MapMat(m.data(), 4, 4));
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VERIFY_IS_EQUAL(m.reshaped(fix< 4>, fix< 4>), MapMat(m.data(), 4, 4));
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VERIFY_IS_EQUAL(m.reshaped(fix< 8>, fix< 2>), MapMat(m.data(), 8, 2));
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VERIFY_IS_EQUAL(m.reshaped(fix< 8>, fix< 2>), MapMat(m.data(), 8, 2));
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VERIFY_IS_EQUAL(m.reshaped(fix<16>, fix< 1>), MapMat(m.data(), 16, 1));
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VERIFY_IS_EQUAL(m.reshaped(fix<16>, fix< 1>), MapMat(m.data(), 16, 1));
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// reshape chain
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// reshape chain
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VERIFY_IS_EQUAL(
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VERIFY_IS_EQUAL(
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(m
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(m
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.reshaped( 1, 16)
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.reshaped( 1, 16)
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.reshaped(fix< 2>,fix< 8>)
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.reshaped(fix< 2>,fix< 8>)
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.reshaped(16, 1)
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.reshaped(16, 1)
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.reshaped(fix< 8>,fix< 2>)
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.reshaped(fix< 8>,fix< 2>)
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.reshaped( 2, 8)
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.reshaped( 2, 8)
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.reshaped(fix< 1>,fix<16>)
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.reshaped(fix< 1>,fix<16>)
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.reshaped( 4, 4)
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.reshaped( 4, 4)
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.reshaped(fix<16>,fix< 1>)
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.reshaped(fix<16>,fix< 1>)
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.reshaped( 8, 2)
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.reshaped( 8, 2)
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.reshaped(fix< 4>,fix< 4>)
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.reshaped(fix< 4>,fix< 4>)
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),
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),
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MapMat(m.data(), 4, 4)
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MapMat(m.data(), 4, 4)
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);
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);
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}
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VERIFY_IS_EQUAL(m.reshaped( 1, 16).data(), m.data());
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VERIFY_IS_EQUAL(m.reshaped( 1, 16).data(), m.data());
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VERIFY_IS_EQUAL(m.reshaped( 1, 16).innerStride(), 1);
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VERIFY_IS_EQUAL(m.reshaped( 1, 16).innerStride(), 1);
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@ -56,23 +56,43 @@ void reshape_all_size(MatType m)
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VERIFY_IS_EQUAL(m.reshaped( 2, 8).innerStride(), 1);
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VERIFY_IS_EQUAL(m.reshaped( 2, 8).innerStride(), 1);
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VERIFY_IS_EQUAL(m.reshaped( 2, 8).outerStride(), 2);
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VERIFY_IS_EQUAL(m.reshaped( 2, 8).outerStride(), 2);
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m.reshaped(2,8,ColOrder);
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if((MatType::Flags&RowMajorBit)==0)
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{
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VERIFY_IS_EQUAL(m.reshaped(2,8,ColOrder),m.reshaped(2,8));
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VERIFY_IS_EQUAL(m.reshaped(2,8,ColOrder),m.reshaped(2,8,AutoOrder));
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VERIFY_IS_EQUAL(m.transpose().reshaped(2,8,RowOrder),m.transpose().reshaped(2,8,AutoOrder));
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}
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else
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{
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VERIFY_IS_EQUAL(m.reshaped(2,8,ColOrder),m.reshaped(2,8));
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VERIFY_IS_EQUAL(m.reshaped(2,8,RowOrder),m.reshaped(2,8,AutoOrder));
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VERIFY_IS_EQUAL(m.transpose().reshaped(2,8,ColOrder),m.transpose().reshaped(2,8,AutoOrder));
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VERIFY_IS_EQUAL(m.transpose().reshaped(2,8),m.transpose().reshaped(2,8,AutoOrder));
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}
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MatrixXi m28r = m.reshaped(2,8,RowOrder);
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MatrixXi m28r1 = m.reshaped(2,8,RowOrder);
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std::cout << m28r << "\n";
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MatrixXi m28r2 = m.transpose().reshaped(8,2,ColOrder).transpose();
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VERIFY_IS_EQUAL( m28r1, m28r2);
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}
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}
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void test_reshape()
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void test_reshape()
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{
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{
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Eigen::MatrixXi mx = Eigen::MatrixXi::Random(4, 4);
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typedef Matrix<int,Dynamic,Dynamic> RowMatrixXi;
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Eigen::Matrix4i m4 = Eigen::Matrix4i::Random(4, 4);
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typedef Matrix<int,4,4> RowMatrix4i;
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MatrixXi mx = MatrixXi::Random(4, 4);
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Matrix4i m4 = Matrix4i::Random(4, 4);
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RowMatrixXi rmx = RowMatrixXi::Random(4, 4);
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RowMatrix4i rm4 = RowMatrix4i::Random(4, 4);
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// test dynamic-size matrix
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// test dynamic-size matrix
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CALL_SUBTEST(reshape_all_size(mx));
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CALL_SUBTEST(reshape4x4(mx));
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// test static-size matrix
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// test static-size matrix
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CALL_SUBTEST(reshape_all_size(m4));
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CALL_SUBTEST(reshape4x4(m4));
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// test dynamic-size const matrix
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// test dynamic-size const matrix
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CALL_SUBTEST(reshape_all_size(static_cast<const Eigen::MatrixXi>(mx)));
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CALL_SUBTEST(reshape4x4(static_cast<const MatrixXi>(mx)));
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// test static-size const matrix
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// test static-size const matrix
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CALL_SUBTEST(reshape_all_size(static_cast<const Eigen::Matrix4i>(m4)));
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CALL_SUBTEST(reshape4x4(static_cast<const Matrix4i>(m4)));
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CALL_SUBTEST(reshape4x4(rmx));
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CALL_SUBTEST(reshape4x4(rm4));
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}
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}
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