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Add support for RowOrder reshaped

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This commit is contained in:
Gael Guennebaud 2017-02-20 11:46:21 +01:00
parent 4b22048cea
commit 9081c8f6ea
3 changed files with 88 additions and 56 deletions
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24
Eigen/src/Core/Reshaped.h
View File

@ -21,7 +21,7 @@ namespace Eigen {
* \tparam XprType the type of the expression in which we are taking a reshape
* \tparam Rows the number of rows of the reshape we are taking at compile time (optional)
* \tparam Cols the number of columns of the reshape we are taking at compile time (optional)
* \tparam Order
* \tparam Order can be ColMajor or RowMajor, default is ColMajor.
*
* This class represents an expression of either a fixed-size or dynamic-size reshape.
* It is the return type of DenseBase::reshaped(NRowsType,NColsType) and
@ -68,9 +68,8 @@ struct traits<Reshaped<XprType, Rows, Cols, Order> > : traits<XprType>
: Dynamic,
OuterStrideAtCompileTime = Dynamic,
InOrder = Order,
HasDirectAccess = internal::has_direct_access<XprType>::ret
&& (Order==int(AutoOrderValue) || Order==int(XpxStorageOrder))
&& (Order==int(XpxStorageOrder))
&& ((evaluator<XprType>::Flags&LinearAccessBit)==LinearAccessBit),
MaskPacketAccessBit = (InnerSize == Dynamic || (InnerSize % packet_traits<Scalar>::size) == 0)
@ -324,11 +323,20 @@ struct reshaped_evaluator<ArgType, Rows, Cols, Order, /* HasDirectAccess */ fals
typedef std::pair<Index, Index> RowCol;
inline RowCol index_remap(Index rowId, Index colId) const {
const Index nth_elem_idx = colId * m_xpr.rows() + rowId;
const Index actual_col = nth_elem_idx / m_xpr.nestedExpression().rows();
const Index actual_row = nth_elem_idx % m_xpr.nestedExpression().rows();
return RowCol(actual_row, actual_col);
inline RowCol index_remap(Index rowId, Index colId) const
{
if(Order==ColMajor)
{
const Index nth_elem_idx = colId * m_xpr.rows() + rowId;
return RowCol(nth_elem_idx % m_xpr.nestedExpression().rows(),
nth_elem_idx / m_xpr.nestedExpression().rows());
}
else
{
const Index nth_elem_idx = colId + rowId * m_xpr.cols();
return RowCol(nth_elem_idx / m_xpr.nestedExpression().cols(),
nth_elem_idx % m_xpr.nestedExpression().cols());
}
}
EIGEN_DEVICE_FUNC

12
Eigen/src/plugins/ReshapedMethods.h
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@ -40,10 +40,12 @@ reshaped(NRowsType nRows, NColsType nCols)
template<typename NRowsType, typename NColsType, typename OrderType>
EIGEN_DEVICE_FUNC
inline Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>
inline Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>
reshaped(NRowsType nRows, NColsType nCols, OrderType)
{
return Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>(
return Reshaped<Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>(
derived(), internal::get_runtime_value(nRows), internal::get_runtime_value(nCols));
}
@ -59,10 +61,12 @@ reshaped(NRowsType nRows, NColsType nCols) const
template<typename NRowsType, typename NColsType, typename OrderType>
EIGEN_DEVICE_FUNC
inline const Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>
inline const Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>
reshaped(NRowsType nRows, NColsType nCols, OrderType) const
{
return Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,OrderType::value>(
return Reshaped<const Derived,internal::get_fixed_value<NRowsType>::value,internal::get_fixed_value<NColsType>::value,
OrderType::value==AutoOrderValue?Flags&RowMajorBit:OrderType::value>(
derived(), internal::get_runtime_value(nRows), internal::get_runtime_value(nCols));
}

108
test/reshape.cpp
View File

@ -1,6 +1,7 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2017 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2014 yoco <peter.xiau@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
@ -9,45 +10,44 @@
#include "main.h"
using Eigen::Map;
using Eigen::MatrixXi;
// just test a 4x4 matrix, enumerate all combination manually,
// so I don't have to do template-meta-programming here.
// just test a 4x4 matrix, enumerate all combination manually
template <typename MatType>
void reshape_all_size(MatType m)
void reshape4x4(MatType m)
{
typedef Eigen::Map<MatrixXi> MapMat;
// dynamic
VERIFY_IS_EQUAL((m.reshaped( 1, 16)), MapMat(m.data(), 1, 16));
VERIFY_IS_EQUAL((m.reshaped( 2, 8)), MapMat(m.data(), 2, 8));
VERIFY_IS_EQUAL((m.reshaped( 4, 4)), MapMat(m.data(), 4, 4));
VERIFY_IS_EQUAL((m.reshaped( 8, 2)), MapMat(m.data(), 8, 2));
VERIFY_IS_EQUAL((m.reshaped(16, 1)), MapMat(m.data(), 16, 1));
if((MatType::Flags&RowMajorBit)==0)
{
typedef Map<MatrixXi> MapMat;
// dynamic
VERIFY_IS_EQUAL((m.reshaped( 1, 16)), MapMat(m.data(), 1, 16));
VERIFY_IS_EQUAL((m.reshaped( 2, 8)), MapMat(m.data(), 2, 8));
VERIFY_IS_EQUAL((m.reshaped( 4, 4)), MapMat(m.data(), 4, 4));
VERIFY_IS_EQUAL((m.reshaped( 8, 2)), MapMat(m.data(), 8, 2));
VERIFY_IS_EQUAL((m.reshaped(16, 1)), MapMat(m.data(), 16, 1));
// static
VERIFY_IS_EQUAL(m.reshaped(fix< 1>, fix<16>), MapMat(m.data(), 1, 16));
VERIFY_IS_EQUAL(m.reshaped(fix< 2>, fix< 8>), MapMat(m.data(), 2, 8));
VERIFY_IS_EQUAL(m.reshaped(fix< 4>, fix< 4>), MapMat(m.data(), 4, 4));
VERIFY_IS_EQUAL(m.reshaped(fix< 8>, fix< 2>), MapMat(m.data(), 8, 2));
VERIFY_IS_EQUAL(m.reshaped(fix<16>, fix< 1>), MapMat(m.data(), 16, 1));
// static
VERIFY_IS_EQUAL(m.reshaped(fix< 1>, fix<16>), MapMat(m.data(), 1, 16));
VERIFY_IS_EQUAL(m.reshaped(fix< 2>, fix< 8>), MapMat(m.data(), 2, 8));
VERIFY_IS_EQUAL(m.reshaped(fix< 4>, fix< 4>), MapMat(m.data(), 4, 4));
VERIFY_IS_EQUAL(m.reshaped(fix< 8>, fix< 2>), MapMat(m.data(), 8, 2));
VERIFY_IS_EQUAL(m.reshaped(fix<16>, fix< 1>), MapMat(m.data(), 16, 1));
// reshape chain
VERIFY_IS_EQUAL(
(m
.reshaped( 1, 16)
.reshaped(fix< 2>,fix< 8>)
.reshaped(16, 1)
.reshaped(fix< 8>,fix< 2>)
.reshaped( 2, 8)
.reshaped(fix< 1>,fix<16>)
.reshaped( 4, 4)
.reshaped(fix<16>,fix< 1>)
.reshaped( 8, 2)
.reshaped(fix< 4>,fix< 4>)
),
MapMat(m.data(), 4, 4)
);
// reshape chain
VERIFY_IS_EQUAL(
(m
.reshaped( 1, 16)
.reshaped(fix< 2>,fix< 8>)
.reshaped(16, 1)
.reshaped(fix< 8>,fix< 2>)
.reshaped( 2, 8)
.reshaped(fix< 1>,fix<16>)
.reshaped( 4, 4)
.reshaped(fix<16>,fix< 1>)
.reshaped( 8, 2)
.reshaped(fix< 4>,fix< 4>)
),
MapMat(m.data(), 4, 4)
);
}
VERIFY_IS_EQUAL(m.reshaped( 1, 16).data(), m.data());
VERIFY_IS_EQUAL(m.reshaped( 1, 16).innerStride(), 1);
@ -56,23 +56,43 @@ void reshape_all_size(MatType m)
VERIFY_IS_EQUAL(m.reshaped( 2, 8).innerStride(), 1);
VERIFY_IS_EQUAL(m.reshaped( 2, 8).outerStride(), 2);
m.reshaped(2,8,ColOrder);
if((MatType::Flags&RowMajorBit)==0)
{
VERIFY_IS_EQUAL(m.reshaped(2,8,ColOrder),m.reshaped(2,8));
VERIFY_IS_EQUAL(m.reshaped(2,8,ColOrder),m.reshaped(2,8,AutoOrder));
VERIFY_IS_EQUAL(m.transpose().reshaped(2,8,RowOrder),m.transpose().reshaped(2,8,AutoOrder));
}
else
{
VERIFY_IS_EQUAL(m.reshaped(2,8,ColOrder),m.reshaped(2,8));
VERIFY_IS_EQUAL(m.reshaped(2,8,RowOrder),m.reshaped(2,8,AutoOrder));
VERIFY_IS_EQUAL(m.transpose().reshaped(2,8,ColOrder),m.transpose().reshaped(2,8,AutoOrder));
VERIFY_IS_EQUAL(m.transpose().reshaped(2,8),m.transpose().reshaped(2,8,AutoOrder));
}
MatrixXi m28r = m.reshaped(2,8,RowOrder);
std::cout << m28r << "\n";
MatrixXi m28r1 = m.reshaped(2,8,RowOrder);
MatrixXi m28r2 = m.transpose().reshaped(8,2,ColOrder).transpose();
VERIFY_IS_EQUAL( m28r1, m28r2);
}
void test_reshape()
{
Eigen::MatrixXi mx = Eigen::MatrixXi::Random(4, 4);
Eigen::Matrix4i m4 = Eigen::Matrix4i::Random(4, 4);
typedef Matrix<int,Dynamic,Dynamic> RowMatrixXi;
typedef Matrix<int,4,4> RowMatrix4i;
MatrixXi mx = MatrixXi::Random(4, 4);
Matrix4i m4 = Matrix4i::Random(4, 4);
RowMatrixXi rmx = RowMatrixXi::Random(4, 4);
RowMatrix4i rm4 = RowMatrix4i::Random(4, 4);
// test dynamic-size matrix
CALL_SUBTEST(reshape_all_size(mx));
CALL_SUBTEST(reshape4x4(mx));
// test static-size matrix
CALL_SUBTEST(reshape_all_size(m4));
CALL_SUBTEST(reshape4x4(m4));
// test dynamic-size const matrix
CALL_SUBTEST(reshape_all_size(static_cast<const Eigen::MatrixXi>(mx)));
CALL_SUBTEST(reshape4x4(static_cast<const MatrixXi>(mx)));
// test static-size const matrix
CALL_SUBTEST(reshape_all_size(static_cast<const Eigen::Matrix4i>(m4)));
CALL_SUBTEST(reshape4x4(static_cast<const Matrix4i>(m4)));
CALL_SUBTEST(reshape4x4(rmx));
CALL_SUBTEST(reshape4x4(rm4));
}