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36 lines
1.2 KiB
36 lines
1.2 KiB
/* |
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example/example10.cpp -- auto-vectorize functions over NumPy array |
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arguments |
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Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch> |
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All rights reserved. Use of this source code is governed by a |
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BSD-style license that can be found in the LICENSE file. |
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*/ |
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#include "example.h" |
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#include <pybind11/numpy.h> |
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double my_func(int x, float y, double z) { |
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std::cout << "my_func(x:int=" << x << ", y:float=" << y << ", z:float=" << z << ")" << std::endl; |
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return x*y*z; |
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} |
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std::complex<double> my_func3(std::complex<double> c) { |
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return c * std::complex<double>(2.f); |
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} |
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void init_ex10(py::module &m) { |
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// Vectorize all arguments of a function (though non-vector arguments are also allowed) |
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m.def("vectorized_func", py::vectorize(my_func)); |
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// Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization) |
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m.def("vectorized_func2", |
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[](py::array_t<int> x, py::array_t<float> y, float z) { |
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return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y); |
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} |
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); |
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// Vectorize a complex-valued function |
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m.def("vectorized_func3", py::vectorize(my_func3)); |
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}
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