Austin Schuh | c55b017 | 2022-02-20 17:52:35 -0800 | [diff] [blame] | 1 | namespace Eigen { |
| 2 | |
| 3 | /** \eigenManualPage TutorialReshape Reshape |
| 4 | |
| 5 | Since the version 3.4, %Eigen exposes convenient methods to reshape a matrix to another matrix of different sizes or vector. |
| 6 | All cases are handled via the DenseBase::reshaped(NRowsType,NColsType) and DenseBase::reshaped() functions. |
| 7 | Those functions do not perform in-place reshaping, but instead return a <i> view </i> on the input expression. |
| 8 | |
| 9 | \eigenAutoToc |
| 10 | |
| 11 | \section TutorialReshapeMat2Mat Reshaped 2D views |
| 12 | |
| 13 | The more general reshaping transformation is handled via: `reshaped(nrows,ncols)`. |
| 14 | Here is an example reshaping a 4x4 matrix to a 2x8 one: |
| 15 | |
| 16 | <table class="example"> |
| 17 | <tr><th>Example:</th><th>Output:</th></tr> |
| 18 | <tr><td> |
| 19 | \include MatrixBase_reshaped_int_int.cpp |
| 20 | </td> |
| 21 | <td> |
| 22 | \verbinclude MatrixBase_reshaped_int_int.out |
| 23 | </td></tr></table> |
| 24 | |
| 25 | By default, the input coefficients are always interpreted in column-major order regardless of the storage order of the input expression. |
| 26 | For more control on ordering, compile-time sizes, and automatic size deduction, please see de documentation of DenseBase::reshaped(NRowsType,NColsType) that contains all the details with many examples. |
| 27 | |
| 28 | |
| 29 | \section TutorialReshapeMat2Vec 1D linear views |
| 30 | |
| 31 | A very common usage of reshaping is to create a 1D linear view over a given 2D matrix or expression. |
| 32 | In this case, sizes can be deduced and thus omitted as in the following example: |
| 33 | |
| 34 | <table class="example"> |
| 35 | <tr><th>Example:</th></tr> |
| 36 | <tr><td> |
| 37 | \include MatrixBase_reshaped_to_vector.cpp |
| 38 | </td></tr> |
| 39 | <tr><th>Output:</th></tr> |
| 40 | <tr><td> |
| 41 | \verbinclude MatrixBase_reshaped_to_vector.out |
| 42 | </td></tr></table> |
| 43 | |
| 44 | This shortcut always returns a column vector and by default input coefficients are always interpreted in column-major order. |
| 45 | Again, see the documentation of DenseBase::reshaped() for more control on the ordering. |
| 46 | |
| 47 | \section TutorialReshapeInPlace |
| 48 | |
| 49 | The above examples create reshaped views, but what about reshaping inplace a given matrix? |
| 50 | Of course this task in only conceivable for matrix and arrays having runtime dimensions. |
| 51 | In many cases, this can be accomplished via PlainObjectBase::resize(Index,Index): |
| 52 | |
| 53 | <table class="example"> |
| 54 | <tr><th>Example:</th></tr> |
| 55 | <tr><td> |
| 56 | \include Tutorial_reshaped_vs_resize_1.cpp |
| 57 | </td></tr> |
| 58 | <tr><th>Output:</th></tr> |
| 59 | <tr><td> |
| 60 | \verbinclude Tutorial_reshaped_vs_resize_1.out |
| 61 | </td></tr></table> |
| 62 | |
| 63 | However beware that unlike \c reshaped, the result of \c resize depends on the input storage order. |
| 64 | It thus behaves similarly to `reshaped<AutoOrder>`: |
| 65 | |
| 66 | <table class="example"> |
| 67 | <tr><th>Example:</th></tr> |
| 68 | <tr><td> |
| 69 | \include Tutorial_reshaped_vs_resize_2.cpp |
| 70 | </td></tr> |
| 71 | <tr><th>Output:</th></tr> |
| 72 | <tr><td> |
| 73 | \verbinclude Tutorial_reshaped_vs_resize_2.out |
| 74 | </td></tr></table> |
| 75 | |
| 76 | Finally, assigning a reshaped matrix to itself is currently not supported and will result to undefined-behavior because of \link TopicAliasing aliasing \endlink. |
| 77 | The following is forbidden: \code A = A.reshaped(2,8); \endcode |
| 78 | This is OK: \code A = A.reshaped(2,8).eval(); \endcode |
| 79 | |
| 80 | */ |
| 81 | |
| 82 | } |