benchmark.rst revision 11986:c12e4625ab56
1Benchmark 2========= 3 4The following is the result of a synthetic benchmark comparing both compilation 5time and module size of pybind11 against Boost.Python. A detailed report about a 6Boost.Python to pybind11 conversion of a real project is available here: [#f1]_. 7 8.. [#f1] http://graylab.jhu.edu/RosettaCon2016/PyRosetta-4.pdf 9 10Setup 11----- 12 13A python script (see the ``docs/benchmark.py`` file) was used to generate a set 14of files with dummy classes whose count increases for each successive benchmark 15(between 1 and 2048 classes in powers of two). Each class has four methods with 16a randomly generated signature with a return value and four arguments. (There 17was no particular reason for this setup other than the desire to generate many 18unique function signatures whose count could be controlled in a simple way.) 19 20Here is an example of the binding code for one class: 21 22.. code-block:: cpp 23 24 ... 25 class cl034 { 26 public: 27 cl279 *fn_000(cl084 *, cl057 *, cl065 *, cl042 *); 28 cl025 *fn_001(cl098 *, cl262 *, cl414 *, cl121 *); 29 cl085 *fn_002(cl445 *, cl297 *, cl145 *, cl421 *); 30 cl470 *fn_003(cl200 *, cl323 *, cl332 *, cl492 *); 31 }; 32 ... 33 34 PYBIND11_PLUGIN(example) { 35 py::module m("example"); 36 ... 37 py::class_<cl034>(m, "cl034") 38 .def("fn_000", &cl034::fn_000) 39 .def("fn_001", &cl034::fn_001) 40 .def("fn_002", &cl034::fn_002) 41 .def("fn_003", &cl034::fn_003) 42 ... 43 return m.ptr(); 44 } 45 46The Boost.Python version looks almost identical except that a return value 47policy had to be specified as an argument to ``def()``. For both libraries, 48compilation was done with 49 50.. code-block:: bash 51 52 Apple LLVM version 7.0.2 (clang-700.1.81) 53 54and the following compilation flags 55 56.. code-block:: bash 57 58 g++ -Os -shared -rdynamic -undefined dynamic_lookup -fvisibility=hidden -std=c++14 59 60Compilation time 61---------------- 62 63The following log-log plot shows how the compilation time grows for an 64increasing number of class and function declarations. pybind11 includes many 65fewer headers, which initially leads to shorter compilation times, but the 66performance is ultimately fairly similar (pybind11 is 19.8 seconds faster for 67the largest largest file with 2048 classes and a total of 8192 methods -- a 68modest **1.2x** speedup relative to Boost.Python, which required 116.35 69seconds). 70 71.. only:: not latex 72 73 .. image:: pybind11_vs_boost_python1.svg 74 75.. only:: latex 76 77 .. image:: pybind11_vs_boost_python1.png 78 79Module size 80----------- 81 82Differences between the two libraries become much more pronounced when 83considering the file size of the generated Python plugin: for the largest file, 84the binary generated by Boost.Python required 16.8 MiB, which was **2.17 85times** / **9.1 megabytes** larger than the output generated by pybind11. For 86very small inputs, Boost.Python has an edge in the plot below -- however, note 87that it stores many definitions in an external library, whose size was not 88included here, hence the comparison is slightly shifted in Boost.Python's 89favor. 90 91.. only:: not latex 92 93 .. image:: pybind11_vs_boost_python2.svg 94 95.. only:: latex 96 97 .. image:: pybind11_vs_boost_python2.png 98 99 100