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      1 namespace Eigen {
      2 
      3 /** \page TopicPreprocessorDirectives Preprocessor directives
      4 
      5 You can control some aspects of %Eigen by defining the preprocessor tokens using \c \#define. These macros
      6 should be defined before any %Eigen headers are included. Often they are best set in the project options.
      7 
      8 This page lists the preprocesor tokens recognised by %Eigen.
      9 
     10 \eigenAutoToc
     11 
     12 
     13 \section TopicPreprocessorDirectivesMajor Macros with major effects
     14 
     15 These macros have a major effect and typically break the API (Application Programming Interface) and/or the
     16 ABI (Application Binary Interface). This can be rather dangerous: if parts of your program are compiled with
     17 one option, and other parts (or libraries that you use) are compiled with another option, your program may
     18 fail to link or exhibit subtle bugs. Nevertheless, these options can be useful for people who know what they
     19 are doing.
     20 
     21  - \b EIGEN2_SUPPORT - if defined, enables the Eigen2 compatibility mode. This is meant to ease the transition
     22    of Eigen2 to Eigen3 (see \ref Eigen2ToEigen3). Not defined by default.
     23  - \b EIGEN2_SUPPORT_STAGEnn_xxx (for various values of nn and xxx) - staged migration path from Eigen2 to
     24    Eigen3; see \ref Eigen2SupportModes.
     25  - \b EIGEN_DEFAULT_DENSE_INDEX_TYPE - the type for column and row indices in matrices, vectors and array
     26    (DenseBase::Index). Set to \c std::ptrdiff_t by default.
     27  - \b EIGEN_DEFAULT_IO_FORMAT - the IOFormat to use when printing a matrix if no %IOFormat is specified.
     28    Defaults to the %IOFormat constructed by the default constructor IOFormat::IOFormat().
     29  - \b EIGEN_INITIALIZE_MATRICES_BY_ZERO - if defined, all entries of newly constructed matrices and arrays are
     30    initialized to zero, as are new entries in matrices and arrays after resizing. Not defined by default.
     31  - \b EIGEN_INITIALIZE_MATRICES_BY_NAN - if defined, all entries of newly constructed matrices and arrays are
     32    initialized to NaN, as are new entries in matrices and arrays after resizing. This option is especially
     33    useful for debugging purpose, though a memory tool like <a href="http://valgrind.org/">valgrind</a> is
     34    preferable. Not defined by default.
     35  - \b EIGEN_NO_AUTOMATIC_RESIZING - if defined, the matrices (or arrays) on both sides of an assignment 
     36    <tt>a = b</tt> have to be of the same size; otherwise, %Eigen automatically resizes \c a so that it is of
     37    the correct size. Not defined by default.
     38 
     39 
     40 \section TopicPreprocessorDirectivesAssertions Assertions
     41 
     42 The %Eigen library contains many assertions to guard against programming errors, both at compile time and at
     43 run time. However, these assertions do cost time and can thus be turned off.
     44 
     45  - \b EIGEN_NO_DEBUG - disables %Eigen's assertions if defined. Not defined by default, unless the
     46    \c NDEBUG macro is defined (this is a standard C++ macro which disables all asserts). 
     47  - \b EIGEN_NO_STATIC_ASSERT - if defined, compile-time static assertions are replaced by runtime assertions; 
     48    this saves compilation time. Not defined by default.
     49  - \b eigen_assert - macro with one argument that is used inside %Eigen for assertions. By default, it is
     50    basically defined to be \c assert, which aborts the program if the assertion is violated. Redefine this
     51    macro if you want to do something else, like throwing an exception.
     52  - \b EIGEN_MPL2_ONLY - disable non MPL2 compatible features, or in other words disable the features which
     53    are still under the LGPL.
     54 
     55 
     56 \section TopicPreprocessorDirectivesPerformance Alignment, vectorization and performance tweaking
     57 
     58  - \b EIGEN_MALLOC_ALREADY_ALIGNED - Can be set to 0 or 1 to tell whether default system malloc already
     59    returns aligned buffers. In not defined, then this information is automatically deduced from the compiler
     60    and system preprocessor tokens.
     61  - \b EIGEN_DONT_ALIGN - disables alignment completely. %Eigen will not try to align its objects and does not
     62    expect that any objects passed to it are aligned. This will turn off vectorization. Not defined by default.
     63  - \b EIGEN_DONT_ALIGN_STATICALLY - disables alignment of arrays on the stack. Not defined by default, unless
     64    \c EIGEN_DONT_ALIGN is defined.
     65  - \b EIGEN_DONT_PARALLELIZE - if defined, this disables multi-threading. This is only relevant if you enabled OpenMP.
     66    See \ref TopicMultiThreading for details.
     67  - \b EIGEN_DONT_VECTORIZE - disables explicit vectorization when defined. Not defined by default, unless 
     68    alignment is disabled by %Eigen's platform test or the user defining \c EIGEN_DONT_ALIGN.
     69  - \b EIGEN_FAST_MATH - enables some optimizations which might affect the accuracy of the result. This currently
     70    enables the SSE vectorization of sin() and cos(), and speedups sqrt() for single precision. Defined to 1 by default.
     71    Define it to 0 to disable.
     72  - \b EIGEN_UNROLLING_LIMIT - defines the size of a loop to enable meta unrolling. Set it to zero to disable
     73    unrolling. The size of a loop here is expressed in %Eigen's own notion of "number of FLOPS", it does not
     74    correspond to the number of iterations or the number of instructions. The default is value 100.
     75  - \b EIGEN_STACK_ALLOCATION_LIMIT - defines the maximum bytes for a buffer to be allocated on the stack. For internal
     76    temporary buffers, dynamic memory allocation is employed as a fall back. For fixed-size matrices or arrays, exceeding
     77    this threshold raises a compile time assertion. Use 0 to set no limit. Default is 128 KB.
     78 
     79 
     80 \section TopicPreprocessorDirectivesPlugins Plugins
     81 
     82 It is possible to add new methods to many fundamental classes in %Eigen by writing a plugin. As explained in
     83 the section \ref ExtendingMatrixBase, the plugin is specified by defining a \c EIGEN_xxx_PLUGIN macro. The
     84 following macros are supported; none of them are defined by default.
     85 
     86  - \b EIGEN_ARRAY_PLUGIN - filename of plugin for extending the Array class.
     87  - \b EIGEN_ARRAYBASE_PLUGIN - filename of plugin for extending the ArrayBase class.
     88  - \b EIGEN_CWISE_PLUGIN - filename of plugin for extending the Cwise class.
     89  - \b EIGEN_DENSEBASE_PLUGIN - filename of plugin for extending the DenseBase class.
     90  - \b EIGEN_DYNAMICSPARSEMATRIX_PLUGIN - filename of plugin for extending the DynamicSparseMatrix class.
     91  - \b EIGEN_MATRIX_PLUGIN - filename of plugin for extending the Matrix class.
     92  - \b EIGEN_MATRIXBASE_PLUGIN - filename of plugin for extending the MatrixBase class.
     93  - \b EIGEN_PLAINOBJECTBASE_PLUGIN - filename of plugin for extending the PlainObjectBase class.
     94  - \b EIGEN_QUATERNIONBASE_PLUGIN - filename of plugin for extending the QuaternionBase class.
     95  - \b EIGEN_SPARSEMATRIX_PLUGIN - filename of plugin for extending the SparseMatrix class.
     96  - \b EIGEN_SPARSEMATRIXBASE_PLUGIN - filename of plugin for extending the SparseMatrixBase class.
     97  - \b EIGEN_SPARSEVECTOR_PLUGIN - filename of plugin for extending the SparseVector class.
     98  - \b EIGEN_TRANSFORM_PLUGIN - filename of plugin for extending the Transform class.
     99  - \b EIGEN_FUNCTORS_PLUGIN - filename of plugin for adding new functors and specializations of functor_traits.
    100 
    101 
    102 \section TopicPreprocessorDirectivesDevelopers Macros for Eigen developers
    103 
    104 These macros are mainly meant for people developing %Eigen and for testing purposes. Even though, they might be useful for power users and the curious for debugging and testing purpose, they \b should \b not \b be \b used by real-word code.
    105 
    106  - \b EIGEN_DEFAULT_TO_ROW_MAJOR - when defined, the default storage order for matrices becomes row-major
    107    instead of column-major. Not defined by default.
    108  - \b EIGEN_INTERNAL_DEBUGGING - if defined, enables assertions in %Eigen's internal routines. This is useful
    109    for debugging %Eigen itself. Not defined by default.
    110  - \b EIGEN_NO_MALLOC - if defined, any request from inside the %Eigen to allocate memory from the heap
    111    results in an assertion failure. This is useful to check that some routine does not allocate memory
    112    dynamically. Not defined by default.
    113  - \b EIGEN_RUNTIME_NO_MALLOC - if defined, a new switch is introduced which can be turned on and off by
    114    calling <tt>set_is_malloc_allowed(bool)</tt>. If malloc is not allowed and %Eigen tries to allocate memory
    115    dynamically anyway, an assertion failure results. Not defined by default.
    116 
    117 */
    118 
    119 }
    120