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4b67907023
This changes the BOOST_COMPUTE_FUNCTION() macro (and the related BOOST_COMPUTE_CLOSURE() macro) to use custom, user-provided argument names instead of auto-generating them based on their index. This is an API-breaking change. Users should now provide argument names when using the BOOST_COMPUTE_FUNCTION() macro. The examples and documentation have been updated to reflect the new API.
114 lines
3.0 KiB
C++
114 lines
3.0 KiB
C++
//---------------------------------------------------------------------------//
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// Copyright (c) 2013 Kyle Lutz <kyle.r.lutz@gmail.com>
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//
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// Distributed under the Boost Software License, Version 1.0
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// See accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt
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//
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// See http://kylelutz.github.com/compute for more information.
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//---------------------------------------------------------------------------//
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#define BOOST_TEST_MODULE TestIssue11
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#include <boost/test/unit_test.hpp>
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#include <boost/compute/function.hpp>
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#include <boost/compute/system.hpp>
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#include <boost/compute/algorithm/sort.hpp>
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#include <boost/compute/container/vector.hpp>
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#include <boost/compute/types/struct.hpp>
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namespace compute = boost::compute;
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// user-defined data type containing two int's and a float
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struct UDD
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{
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int a;
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int b;
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float c;
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};
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// make UDD available to OpenCL
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BOOST_COMPUTE_ADAPT_STRUCT(UDD, UDD, (a, b, c))
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// comparison operator for UDD
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bool operator==(const UDD &lhs, const UDD &rhs)
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{
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return lhs.a == rhs.a && lhs.b == rhs.b && lhs.c == rhs.c;
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}
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// output stream operator for UDD
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std::ostream& operator<<(std::ostream &stream, const UDD &x)
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{
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return stream << "(" << x.a << ", " << x.b << ", " << x.c << ")";
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}
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// function to generate a random UDD on the host
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UDD rand_UDD()
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{
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UDD udd;
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udd.a = rand() % 100;
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udd.b = rand() % 100;
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udd.c = (float)(rand() % 100) / 1.3f;
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return udd;
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}
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// function to compare two UDD's on the host by their first component
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bool compare_UDD_host(const UDD &lhs, const UDD &rhs)
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{
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return lhs.a < rhs.a;
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}
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// function to compate two UDD's on the device by their first component
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BOOST_COMPUTE_FUNCTION(bool, compare_UDD_device, (UDD lhs, UDD rhs),
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{
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return lhs.a < rhs.a;
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});
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BOOST_AUTO_TEST_CASE(issue_11)
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{
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// get default device and setup context
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compute::device gpu = compute::system::default_device();
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compute::context context(gpu);
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compute::command_queue queue(context, gpu);
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// create vector of random values on the host
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std::vector<UDD> host_vector(10);
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std::generate(host_vector.begin(), host_vector.end(), rand_UDD);
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// transfer the values to the device
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compute::vector<UDD> device_vector(host_vector.size(), context);
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compute::copy(
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host_vector.begin(), host_vector.end(), device_vector.begin(), queue
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);
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// sort values on the device
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compute::sort(
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device_vector.begin(),
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device_vector.end(),
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compare_UDD_device,
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queue
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);
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// sort values on the host
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std::sort(
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host_vector.begin(),
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host_vector.end(),
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compare_UDD_host
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);
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// copy sorted device values back to the host
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std::vector<UDD> tmp(10);
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compute::copy(
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device_vector.begin(),
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device_vector.end(),
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tmp.begin(),
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queue
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);
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// verify sorted values
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for(size_t i = 0; i < host_vector.size(); i++){
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BOOST_CHECK_EQUAL(tmp[i], host_vector[i]);
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}
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}
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