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author | Andreas Sandberg <andreas.sandberg@arm.com> | 2017-02-27 13:17:51 +0000 |
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committer | Andreas Sandberg <andreas.sandberg@arm.com> | 2017-05-02 12:37:32 +0000 |
commit | c79706ff4ce591df2151db5504d3c224f3c9965f (patch) | |
tree | b56cd2bfe704a40575a71075e78194a4c516c98d /ext/pybind11/tests/test_numpy_vectorize.cpp | |
parent | 359cb08623324b62d7c34973ae54d5bc7f23f9fd (diff) | |
download | gem5-c79706ff4ce591df2151db5504d3c224f3c9965f.tar.xz |
ext: Add pybind rev f4b81b3
Change-Id: I52e4fc9ebf2f59da57d8cf8f3e37cc79598c2f5f
Signed-off-by: Andreas Sandberg <andreas.sandberg@arm.com>
Reviewed-by: Andreas Hansson <andreas.hansson@arm.com>
Reviewed-by: Curtis Dunham <curtis.dunham@arm.com>
Reviewed-on: https://gem5-review.googlesource.com/2229
Reviewed-by: Tony Gutierrez <anthony.gutierrez@amd.com>
Reviewed-by: Jason Lowe-Power <jason@lowepower.com>
Reviewed-by: Pierre-Yves PĂ©neau <pierre-yves.peneau@lirmm.fr>
Diffstat (limited to 'ext/pybind11/tests/test_numpy_vectorize.cpp')
-rw-r--r-- | ext/pybind11/tests/test_numpy_vectorize.cpp | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/ext/pybind11/tests/test_numpy_vectorize.cpp b/ext/pybind11/tests/test_numpy_vectorize.cpp new file mode 100644 index 000000000..6d94db2a1 --- /dev/null +++ b/ext/pybind11/tests/test_numpy_vectorize.cpp @@ -0,0 +1,41 @@ +/* + tests/test_numpy_vectorize.cpp -- auto-vectorize functions over NumPy array + arguments + + Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch> + + All rights reserved. Use of this source code is governed by a + BSD-style license that can be found in the LICENSE file. +*/ + +#include "pybind11_tests.h" +#include <pybind11/numpy.h> + +double my_func(int x, float y, double z) { + py::print("my_func(x:int={}, y:float={:.0f}, z:float={:.0f})"_s.format(x, y, z)); + return (float) x*y*z; +} + +std::complex<double> my_func3(std::complex<double> c) { + return c * std::complex<double>(2.f); +} + +test_initializer numpy_vectorize([](py::module &m) { + // Vectorize all arguments of a function (though non-vector arguments are also allowed) + m.def("vectorized_func", py::vectorize(my_func)); + + // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization) + m.def("vectorized_func2", + [](py::array_t<int> x, py::array_t<float> y, float z) { + return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y); + } + ); + + // Vectorize a complex-valued function + m.def("vectorized_func3", py::vectorize(my_func3)); + + /// Numpy function which only accepts specific data types + m.def("selective_func", [](py::array_t<int, py::array::c_style>) { return "Int branch taken."; }); + m.def("selective_func", [](py::array_t<float, py::array::c_style>) { return "Float branch taken."; }); + m.def("selective_func", [](py::array_t<std::complex<float>, py::array::c_style>) { return "Complex float branch taken."; }); +}); |