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authorAndreas Sandberg <andreas.sandberg@arm.com>2017-02-27 13:17:51 +0000
committerAndreas Sandberg <andreas.sandberg@arm.com>2017-05-02 12:37:32 +0000
commitc79706ff4ce591df2151db5504d3c224f3c9965f (patch)
treeb56cd2bfe704a40575a71075e78194a4c516c98d /ext/pybind11/tests/test_numpy_vectorize.cpp
parent359cb08623324b62d7c34973ae54d5bc7f23f9fd (diff)
downloadgem5-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>
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diff --git a/ext/pybind11/tests/test_numpy_vectorize.cpp b/ext/pybind11/tests/test_numpy_vectorize.cpp
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+++ b/ext/pybind11/tests/test_numpy_vectorize.cpp
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+/*
+ 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."; });
+});