initial commit
This commit is contained in:
huangweifeng
@@ -0,0 +1,4 @@
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set_directory_properties(PROPERTIES EXCLUDE_FROM_ALL TRUE)
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add_subdirectory(examples)
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add_subdirectory(snippets)
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+31
@@ -0,0 +1,31 @@
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/// \brief Namespace containing all symbols from the %Eigen library.
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namespace Eigen {
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/** \mainpage notitle
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This is the API documentation for %Eigen's unsupported modules.
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These modules are contributions from various users. They are provided "as is", without any support.
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Click on the \e Modules tab at the top of this page to get a list of all unsupported modules.
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Don't miss the <a href="../index.html">official Eigen documentation</a>.
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\subpage SYCL_EIGEN "SYCL backend for Eigen"
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*/
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/*
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\defgroup Unsupported_modules Unsupported modules
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The unsupported modules are contributions from various users. They are
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provided "as is", without any support. Nevertheless, some of them are
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subject to be included in %Eigen in the future.
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*/
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/// \internal \brief Namespace containing low-level routines from the %Eigen library.
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namespace internal {}
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}
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+9
@@ -0,0 +1,9 @@
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/** \page SYCL_EIGEN Eigen SYCL Backend
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Useful information for Eigen SYCL Backend:
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- <a href="https://developer.codeplay.com/computecppce/latest/getting-started-with-eigen">Getting Started with Eigen</a>
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- <a href="https://developer.codeplay.com/computecppce/latest/options-for-building-eigen-sycl">Options for Building Eigen SYCL</a>
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*/
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@@ -0,0 +1,269 @@
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@@ -0,0 +1,62 @@
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#include <Eigen/StdVector>
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#include <unsupported/Eigen/BVH>
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#include <iostream>
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using namespace Eigen;
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||||
typedef AlignedBox<double, 2> Box2d;
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namespace Eigen {
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||||
Box2d bounding_box(const Vector2d &v) { return Box2d(v, v); } // compute the bounding box of a single point
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} // namespace Eigen
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struct PointPointMinimizer // how to compute squared distances between points and rectangles
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{
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PointPointMinimizer() : calls(0) {}
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typedef double Scalar;
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||||
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double minimumOnVolumeVolume(const Box2d &r1, const Box2d &r2) {
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++calls;
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return r1.squaredExteriorDistance(r2);
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||||
}
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||||
double minimumOnVolumeObject(const Box2d &r, const Vector2d &v) {
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++calls;
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||||
return r.squaredExteriorDistance(v);
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||||
}
|
||||
double minimumOnObjectVolume(const Vector2d &v, const Box2d &r) {
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++calls;
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return r.squaredExteriorDistance(v);
|
||||
}
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||||
double minimumOnObjectObject(const Vector2d &v1, const Vector2d &v2) {
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||||
++calls;
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return (v1 - v2).squaredNorm();
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}
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||||
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int calls;
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};
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int main() {
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typedef std::vector<Vector2d, aligned_allocator<Vector2d> > StdVectorOfVector2d;
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StdVectorOfVector2d redPoints, bluePoints;
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for (int i = 0; i < 100; ++i) { // initialize random set of red points and blue points
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redPoints.push_back(Vector2d::Random());
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bluePoints.push_back(Vector2d::Random());
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}
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PointPointMinimizer minimizer;
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double minDistSq = std::numeric_limits<double>::max();
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// brute force to find closest red-blue pair
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for (int i = 0; i < (int)redPoints.size(); ++i)
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for (int j = 0; j < (int)bluePoints.size(); ++j)
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minDistSq = std::min(minDistSq, minimizer.minimumOnObjectObject(redPoints[i], bluePoints[j]));
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std::cout << "Brute force distance = " << sqrt(minDistSq) << ", calls = " << minimizer.calls << std::endl;
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// using BVH to find closest red-blue pair
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||||
minimizer.calls = 0;
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KdBVH<double, 2, Vector2d> redTree(redPoints.begin(), redPoints.end()),
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blueTree(bluePoints.begin(), bluePoints.end()); // construct the trees
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||||
minDistSq = BVMinimize(redTree, blueTree, minimizer); // actual BVH minimization call
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||||
std::cout << "BVH distance = " << sqrt(minDistSq) << ", calls = " << minimizer.calls << std::endl;
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return 0;
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}
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@@ -0,0 +1,23 @@
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file(GLOB examples_SRCS "*.cpp")
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add_custom_target(unsupported_examples)
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foreach(example_src ${examples_SRCS})
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get_filename_component(example ${example_src} NAME_WE)
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add_executable(example_${example} ${example_src})
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if(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO)
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target_link_libraries(example_${example} ${EIGEN_STANDARD_LIBRARIES_TO_LINK_TO})
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endif()
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target_link_libraries(example_${example} Eigen3::Eigen)
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add_custom_command(
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TARGET example_${example}
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POST_BUILD
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COMMAND example_${example}
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ARGS >${CMAKE_CURRENT_BINARY_DIR}/${example}.out
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)
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add_dependencies(unsupported_examples example_${example})
|
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endforeach(example_src)
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if(EIGEN_TEST_SYCL)
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add_subdirectory(SYCL)
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endif(EIGEN_TEST_SYCL)
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@@ -0,0 +1,44 @@
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||||
#include <unsupported/Eigen/EulerAngles>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
// A common Euler system by many armies around the world,
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||||
// where the first one is the azimuth(the angle from the north -
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||||
// the same angle that is show in compass)
|
||||
// and the second one is elevation(the angle from the horizon)
|
||||
// and the third one is roll(the angle between the horizontal body
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||||
// direction and the plane ground surface)
|
||||
// Keep remembering we're using radian angles here!
|
||||
typedef EulerSystem<-EULER_Z, EULER_Y, EULER_X> MyArmySystem;
|
||||
typedef EulerAngles<double, MyArmySystem> MyArmyAngles;
|
||||
|
||||
MyArmyAngles vehicleAngles(3.14 /*PI*/ / 2, /* heading to east, notice that this angle is counter-clockwise */
|
||||
-0.3, /* going down from a mountain */
|
||||
0.1); /* slightly rolled to the right */
|
||||
|
||||
// Some Euler angles representation that our plane use.
|
||||
EulerAnglesZYZd planeAngles(0.78474, 0.5271, -0.513794);
|
||||
|
||||
MyArmyAngles planeAnglesInMyArmyAngles(planeAngles);
|
||||
|
||||
std::cout << "vehicle angles(MyArmy): " << vehicleAngles << std::endl;
|
||||
std::cout << "plane angles(ZYZ): " << planeAngles << std::endl;
|
||||
std::cout << "plane angles(MyArmy): " << planeAnglesInMyArmyAngles << std::endl;
|
||||
|
||||
// Now lets rotate the plane a little bit
|
||||
std::cout << "==========================================================\n";
|
||||
std::cout << "rotating plane now!\n";
|
||||
std::cout << "==========================================================\n";
|
||||
|
||||
Quaterniond planeRotated = AngleAxisd(-0.342, Vector3d::UnitY()) * planeAngles;
|
||||
|
||||
planeAngles = planeRotated;
|
||||
planeAnglesInMyArmyAngles = planeRotated;
|
||||
|
||||
std::cout << "new plane angles(ZYZ): " << planeAngles << std::endl;
|
||||
std::cout << "new plane angles(MyArmy): " << planeAnglesInMyArmyAngles << std::endl;
|
||||
|
||||
return 0;
|
||||
}
|
||||
+103
@@ -0,0 +1,103 @@
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// To use the simple FFT implementation
|
||||
// g++ -o demofft -I.. -Wall -O3 FFT.cpp
|
||||
|
||||
// To use the FFTW implementation
|
||||
// g++ -o demofft -I.. -DUSE_FFTW -Wall -O3 FFT.cpp -lfftw3 -lfftw3f -lfftw3l
|
||||
|
||||
#ifdef USE_FFTW
|
||||
#include <fftw3.h>
|
||||
#endif
|
||||
|
||||
#include <vector>
|
||||
#include <complex>
|
||||
#include <algorithm>
|
||||
#include <iterator>
|
||||
#include <iostream>
|
||||
#include <Eigen/Core>
|
||||
#include <unsupported/Eigen/FFT>
|
||||
|
||||
using namespace std;
|
||||
using namespace Eigen;
|
||||
|
||||
template <typename T>
|
||||
T mag2(T a) {
|
||||
return a * a;
|
||||
}
|
||||
template <typename T>
|
||||
T mag2(std::complex<T> a) {
|
||||
return norm(a);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
T mag2(const std::vector<T>& vec) {
|
||||
T out = 0;
|
||||
for (size_t k = 0; k < vec.size(); ++k) out += mag2(vec[k]);
|
||||
return out;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
T mag2(const std::vector<std::complex<T> >& vec) {
|
||||
T out = 0;
|
||||
for (size_t k = 0; k < vec.size(); ++k) out += mag2(vec[k]);
|
||||
return out;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
vector<T> operator-(const vector<T>& a, const vector<T>& b) {
|
||||
vector<T> c(a);
|
||||
for (size_t k = 0; k < b.size(); ++k) c[k] -= b[k];
|
||||
return c;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
void RandomFill(std::vector<T>& vec) {
|
||||
for (size_t k = 0; k < vec.size(); ++k) vec[k] = T(rand()) / T(RAND_MAX) - T(.5);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
void RandomFill(std::vector<std::complex<T> >& vec) {
|
||||
for (size_t k = 0; k < vec.size(); ++k)
|
||||
vec[k] = std::complex<T>(T(rand()) / T(RAND_MAX) - T(.5), T(rand()) / T(RAND_MAX) - T(.5));
|
||||
}
|
||||
|
||||
template <typename T_time, typename T_freq>
|
||||
void fwd_inv(size_t nfft) {
|
||||
typedef typename NumTraits<T_freq>::Real Scalar;
|
||||
vector<T_time> timebuf(nfft);
|
||||
RandomFill(timebuf);
|
||||
|
||||
vector<T_freq> freqbuf;
|
||||
static FFT<Scalar> fft;
|
||||
fft.fwd(freqbuf, timebuf);
|
||||
|
||||
vector<T_time> timebuf2;
|
||||
fft.inv(timebuf2, freqbuf);
|
||||
|
||||
T_time rmse = mag2(timebuf - timebuf2) / mag2(timebuf);
|
||||
cout << "roundtrip rmse: " << rmse << endl;
|
||||
}
|
||||
|
||||
template <typename T_scalar>
|
||||
void two_demos(int nfft) {
|
||||
cout << " scalar ";
|
||||
fwd_inv<T_scalar, std::complex<T_scalar> >(nfft);
|
||||
cout << " complex ";
|
||||
fwd_inv<std::complex<T_scalar>, std::complex<T_scalar> >(nfft);
|
||||
}
|
||||
|
||||
void demo_all_types(int nfft) {
|
||||
cout << "nfft=" << nfft << endl;
|
||||
cout << " float" << endl;
|
||||
two_demos<float>(nfft);
|
||||
cout << " double" << endl;
|
||||
two_demos<double>(nfft);
|
||||
cout << " long double" << endl;
|
||||
two_demos<long double>(nfft);
|
||||
}
|
||||
|
||||
int main() {
|
||||
demo_all_types(2 * 3 * 4 * 5 * 7);
|
||||
demo_all_types(2 * 9 * 16 * 25);
|
||||
demo_all_types(1024);
|
||||
return 0;
|
||||
}
|
||||
@@ -0,0 +1,13 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
const double pi = std::acos(-1.0);
|
||||
|
||||
MatrixXd A(3, 3);
|
||||
A << 0, -pi / 4, 0, pi / 4, 0, 0, 0, 0, 0;
|
||||
std::cout << "The matrix A is:\n" << A << "\n\n";
|
||||
std::cout << "The matrix exponential of A is:\n" << A.exp() << "\n\n";
|
||||
}
|
||||
@@ -0,0 +1,16 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
std::complex<double> expfn(std::complex<double> x, int) { return std::exp(x); }
|
||||
|
||||
int main() {
|
||||
const double pi = std::acos(-1.0);
|
||||
|
||||
MatrixXd A(3, 3);
|
||||
A << 0, -pi / 4, 0, pi / 4, 0, 0, 0, 0, 0;
|
||||
|
||||
std::cout << "The matrix A is:\n" << A << "\n\n";
|
||||
std::cout << "The matrix exponential of A is:\n" << A.matrixFunction(expfn) << "\n\n";
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
using std::sqrt;
|
||||
MatrixXd A(3, 3);
|
||||
A << 0.5 * sqrt(2), -0.5 * sqrt(2), 0, 0.5 * sqrt(2), 0.5 * sqrt(2), 0, 0, 0, 1;
|
||||
std::cout << "The matrix A is:\n" << A << "\n\n";
|
||||
std::cout << "The matrix logarithm of A is:\n" << A.log() << "\n";
|
||||
}
|
||||
@@ -0,0 +1,16 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
const double pi = std::acos(-1.0);
|
||||
Matrix3d A;
|
||||
A << cos(1), -sin(1), 0, sin(1), cos(1), 0, 0, 0, 1;
|
||||
std::cout << "The matrix A is:\n"
|
||||
<< A
|
||||
<< "\n\n"
|
||||
"The matrix power A^(pi/4) is:\n"
|
||||
<< A.pow(pi / 4) << std::endl;
|
||||
return 0;
|
||||
}
|
||||
@@ -0,0 +1,25 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
Matrix4cd A = Matrix4cd::Random();
|
||||
MatrixPower<Matrix4cd> Apow(A);
|
||||
|
||||
std::cout << "The matrix A is:\n"
|
||||
<< A
|
||||
<< "\n\n"
|
||||
"A^3.1 is:\n"
|
||||
<< Apow(3.1)
|
||||
<< "\n\n"
|
||||
"A^3.3 is:\n"
|
||||
<< Apow(3.3)
|
||||
<< "\n\n"
|
||||
"A^3.7 is:\n"
|
||||
<< Apow(3.7)
|
||||
<< "\n\n"
|
||||
"A^3.9 is:\n"
|
||||
<< Apow(3.9) << std::endl;
|
||||
return 0;
|
||||
}
|
||||
@@ -0,0 +1,19 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
MatrixXd A = MatrixXd::Random(3, 3);
|
||||
std::cout << "A = \n" << A << "\n\n";
|
||||
|
||||
MatrixXd sinA = A.sin();
|
||||
std::cout << "sin(A) = \n" << sinA << "\n\n";
|
||||
|
||||
MatrixXd cosA = A.cos();
|
||||
std::cout << "cos(A) = \n" << cosA << "\n\n";
|
||||
|
||||
// The matrix functions satisfy sin^2(A) + cos^2(A) = I,
|
||||
// like the scalar functions.
|
||||
std::cout << "sin^2(A) + cos^2(A) = \n" << sinA * sinA + cosA * cosA << "\n\n";
|
||||
}
|
||||
@@ -0,0 +1,19 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
MatrixXf A = MatrixXf::Random(3, 3);
|
||||
std::cout << "A = \n" << A << "\n\n";
|
||||
|
||||
MatrixXf sinhA = A.sinh();
|
||||
std::cout << "sinh(A) = \n" << sinhA << "\n\n";
|
||||
|
||||
MatrixXf coshA = A.cosh();
|
||||
std::cout << "cosh(A) = \n" << coshA << "\n\n";
|
||||
|
||||
// The matrix functions satisfy cosh^2(A) - sinh^2(A) = I,
|
||||
// like the scalar functions.
|
||||
std::cout << "cosh^2(A) - sinh^2(A) = \n" << coshA * coshA - sinhA * sinhA << "\n\n";
|
||||
}
|
||||
@@ -0,0 +1,14 @@
|
||||
#include <unsupported/Eigen/MatrixFunctions>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
|
||||
int main() {
|
||||
const double pi = std::acos(-1.0);
|
||||
|
||||
MatrixXd A(2, 2);
|
||||
A << cos(pi / 3), -sin(pi / 3), sin(pi / 3), cos(pi / 3);
|
||||
std::cout << "The matrix A is:\n" << A << "\n\n";
|
||||
std::cout << "The matrix square root of A is:\n" << A.sqrt() << "\n\n";
|
||||
std::cout << "The square of the last matrix is:\n" << A.sqrt() * A.sqrt() << "\n";
|
||||
}
|
||||
@@ -0,0 +1,52 @@
|
||||
#include <unsupported/Eigen/Polynomials>
|
||||
#include <vector>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
using namespace std;
|
||||
|
||||
int main() {
|
||||
typedef Matrix<double, 5, 1> Vector5d;
|
||||
|
||||
Vector5d roots = Vector5d::Random();
|
||||
cout << "Roots: " << roots.transpose() << endl;
|
||||
Eigen::Matrix<double, 6, 1> polynomial;
|
||||
roots_to_monicPolynomial(roots, polynomial);
|
||||
|
||||
PolynomialSolver<double, 5> psolve(polynomial);
|
||||
cout << "Complex roots: " << psolve.roots().transpose() << endl;
|
||||
|
||||
std::vector<double> realRoots;
|
||||
psolve.realRoots(realRoots);
|
||||
Map<Vector5d> mapRR(&realRoots[0]);
|
||||
cout << "Real roots: " << mapRR.transpose() << endl;
|
||||
|
||||
cout << endl;
|
||||
cout << "Illustration of the convergence problem with the QR algorithm: " << endl;
|
||||
cout << "---------------------------------------------------------------" << endl;
|
||||
Eigen::Matrix<float, 7, 1> hardCase_polynomial;
|
||||
hardCase_polynomial << -0.957, 0.9219, 0.3516, 0.9453, -0.4023, -0.5508, -0.03125;
|
||||
cout << "Hard case polynomial defined by floats: " << hardCase_polynomial.transpose() << endl;
|
||||
PolynomialSolver<float, 6> psolvef(hardCase_polynomial);
|
||||
cout << "Complex roots: " << psolvef.roots().transpose() << endl;
|
||||
Eigen::Matrix<float, 6, 1> evals;
|
||||
for (int i = 0; i < 6; ++i) {
|
||||
evals[i] = std::abs(poly_eval(hardCase_polynomial, psolvef.roots()[i]));
|
||||
}
|
||||
cout << "Norms of the evaluations of the polynomial at the roots: " << evals.transpose() << endl << endl;
|
||||
|
||||
cout << "Using double's almost always solves the problem for small degrees: " << endl;
|
||||
cout << "-------------------------------------------------------------------" << endl;
|
||||
PolynomialSolver<double, 6> psolve6d(hardCase_polynomial.cast<double>());
|
||||
cout << "Complex roots: " << psolve6d.roots().transpose() << endl;
|
||||
for (int i = 0; i < 6; ++i) {
|
||||
std::complex<float> castedRoot(psolve6d.roots()[i].real(), psolve6d.roots()[i].imag());
|
||||
evals[i] = std::abs(poly_eval(hardCase_polynomial, castedRoot));
|
||||
}
|
||||
cout << "Norms of the evaluations of the polynomial at the roots: " << evals.transpose() << endl << endl;
|
||||
|
||||
cout.precision(10);
|
||||
cout << "The last root in float then in double: " << psolvef.roots()[5] << "\t" << psolve6d.roots()[5] << endl;
|
||||
std::complex<float> castedRoot(psolve6d.roots()[5].real(), psolve6d.roots()[5].imag());
|
||||
cout << "Norm of the difference: " << std::abs(psolvef.roots()[5] - castedRoot) << endl;
|
||||
}
|
||||
@@ -0,0 +1,22 @@
|
||||
#include <unsupported/Eigen/Polynomials>
|
||||
#include <iostream>
|
||||
|
||||
using namespace Eigen;
|
||||
using namespace std;
|
||||
|
||||
int main() {
|
||||
Vector4d roots = Vector4d::Random();
|
||||
cout << "Roots: " << roots.transpose() << endl;
|
||||
Eigen::Matrix<double, 5, 1> polynomial;
|
||||
roots_to_monicPolynomial(roots, polynomial);
|
||||
cout << "Polynomial: ";
|
||||
for (int i = 0; i < 4; ++i) {
|
||||
cout << polynomial[i] << ".x^" << i << "+ ";
|
||||
}
|
||||
cout << polynomial[4] << ".x^4" << endl;
|
||||
Vector4d evaluation;
|
||||
for (int i = 0; i < 4; ++i) {
|
||||
evaluation[i] = poly_eval(polynomial, roots[i]);
|
||||
}
|
||||
cout << "Evaluation of the polynomial at the roots: " << evaluation.transpose();
|
||||
}
|
||||
@@ -0,0 +1,31 @@
|
||||
FILE(GLOB examples_SRCS "*.cpp")
|
||||
|
||||
set(EIGEN_SYCL ON)
|
||||
list(APPEND CMAKE_EXE_LINKER_FLAGS -pthread)
|
||||
set(CMAKE_CXX_STANDARD 17)
|
||||
if(EIGEN_SYCL_ComputeCpp)
|
||||
if(MSVC)
|
||||
list(APPEND COMPUTECPP_USER_FLAGS -DWIN32)
|
||||
else()
|
||||
list(APPEND COMPUTECPP_USER_FLAGS -Wall)
|
||||
endif()
|
||||
# The following flags are not supported by Clang and can cause warnings
|
||||
# if used with -Werror so they are removed here.
|
||||
if(COMPUTECPP_USE_COMPILER_DRIVER)
|
||||
set(CMAKE_CXX_COMPILER ${ComputeCpp_DEVICE_COMPILER_EXECUTABLE})
|
||||
string(REPLACE "-Wlogical-op" "" CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
|
||||
string(REPLACE "-Wno-psabi" "" CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
|
||||
endif()
|
||||
list(APPEND COMPUTECPP_USER_FLAGS
|
||||
-DEIGEN_NO_ASSERTION_CHECKING=1
|
||||
-no-serial-memop
|
||||
-Xclang
|
||||
-cl-mad-enable)
|
||||
endif(EIGEN_SYCL_ComputeCpp)
|
||||
|
||||
FOREACH(example_src ${examples_SRCS})
|
||||
GET_FILENAME_COMPONENT(example ${example_src} NAME_WE)
|
||||
ei_add_test_internal(${example} example_${example})
|
||||
ADD_DEPENDENCIES(unsupported_examples example_${example})
|
||||
ENDFOREACH(example_src)
|
||||
set(EIGEN_SYCL OFF)
|
||||
@@ -0,0 +1,63 @@
|
||||
#include <iostream>
|
||||
#define EIGEN_USE_SYCL
|
||||
#include <unsupported/Eigen/CXX11/Tensor>
|
||||
|
||||
using Eigen::array;
|
||||
using Eigen::SyclDevice;
|
||||
using Eigen::Tensor;
|
||||
using Eigen::TensorMap;
|
||||
|
||||
int main() {
|
||||
using DataType = float;
|
||||
using IndexType = int64_t;
|
||||
constexpr auto DataLayout = Eigen::RowMajor;
|
||||
|
||||
auto devices = Eigen::get_sycl_supported_devices();
|
||||
const auto device_selector = *devices.begin();
|
||||
Eigen::QueueInterface queueInterface(device_selector);
|
||||
auto sycl_device = Eigen::SyclDevice(&queueInterface);
|
||||
|
||||
// create the tensors to be used in the operation
|
||||
IndexType sizeDim1 = 3;
|
||||
IndexType sizeDim2 = 3;
|
||||
IndexType sizeDim3 = 3;
|
||||
array<IndexType, 3> tensorRange = {{sizeDim1, sizeDim2, sizeDim3}};
|
||||
|
||||
// initialize the tensors with the data we want manipulate to
|
||||
Tensor<DataType, 3, DataLayout, IndexType> in1(tensorRange);
|
||||
Tensor<DataType, 3, DataLayout, IndexType> in2(tensorRange);
|
||||
Tensor<DataType, 3, DataLayout, IndexType> out(tensorRange);
|
||||
|
||||
// set up some random data in the tensors to be multiplied
|
||||
in1 = in1.random();
|
||||
in2 = in2.random();
|
||||
|
||||
// allocate memory for the tensors
|
||||
DataType* gpu_in1_data = static_cast<DataType*>(sycl_device.allocate(in1.size() * sizeof(DataType)));
|
||||
DataType* gpu_in2_data = static_cast<DataType*>(sycl_device.allocate(in2.size() * sizeof(DataType)));
|
||||
DataType* gpu_out_data = static_cast<DataType*>(sycl_device.allocate(out.size() * sizeof(DataType)));
|
||||
|
||||
//
|
||||
TensorMap<Tensor<DataType, 3, DataLayout, IndexType>> gpu_in1(gpu_in1_data, tensorRange);
|
||||
TensorMap<Tensor<DataType, 3, DataLayout, IndexType>> gpu_in2(gpu_in2_data, tensorRange);
|
||||
TensorMap<Tensor<DataType, 3, DataLayout, IndexType>> gpu_out(gpu_out_data, tensorRange);
|
||||
|
||||
// copy the memory to the device and do the c=a*b calculation
|
||||
sycl_device.memcpyHostToDevice(gpu_in1_data, in1.data(), (in1.size()) * sizeof(DataType));
|
||||
sycl_device.memcpyHostToDevice(gpu_in2_data, in2.data(), (in2.size()) * sizeof(DataType));
|
||||
gpu_out.device(sycl_device) = gpu_in1 * gpu_in2;
|
||||
sycl_device.memcpyDeviceToHost(out.data(), gpu_out_data, (out.size()) * sizeof(DataType));
|
||||
sycl_device.synchronize();
|
||||
|
||||
// print out the results
|
||||
for (IndexType i = 0; i < sizeDim1; ++i) {
|
||||
for (IndexType j = 0; j < sizeDim2; ++j) {
|
||||
for (IndexType k = 0; k < sizeDim3; ++k) {
|
||||
std::cout << "device_out"
|
||||
<< "(" << i << ", " << j << ", " << k << ") : " << out(i, j, k) << " vs host_out"
|
||||
<< "(" << i << ", " << j << ", " << k << ") : " << in1(i, j, k) * in2(i, j, k) << "\n";
|
||||
}
|
||||
}
|
||||
}
|
||||
printf("c=a*b Done\n");
|
||||
}
|
||||
@@ -0,0 +1,26 @@
|
||||
file(GLOB snippets_SRCS "*.cpp")
|
||||
|
||||
add_custom_target(unsupported_snippets)
|
||||
|
||||
foreach(snippet_src ${snippets_SRCS})
|
||||
get_filename_component(snippet ${snippet_src} NAME_WE)
|
||||
set(compile_snippet_target compile_${snippet})
|
||||
set(compile_snippet_src ${compile_snippet_target}.cpp)
|
||||
file(READ ${snippet_src} snippet_source_code)
|
||||
configure_file(${PROJECT_SOURCE_DIR}/doc/snippets/compile_snippet.cpp.in
|
||||
${CMAKE_CURRENT_BINARY_DIR}/${compile_snippet_src})
|
||||
add_executable(${compile_snippet_target}
|
||||
${CMAKE_CURRENT_BINARY_DIR}/${compile_snippet_src})
|
||||
if(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO)
|
||||
target_link_libraries(${compile_snippet_target} ${EIGEN_STANDARD_LIBRARIES_TO_LINK_TO})
|
||||
endif()
|
||||
add_custom_command(
|
||||
TARGET ${compile_snippet_target}
|
||||
POST_BUILD
|
||||
COMMAND ${compile_snippet_target}
|
||||
ARGS >${CMAKE_CURRENT_BINARY_DIR}/${snippet}.out
|
||||
)
|
||||
add_dependencies(unsupported_snippets ${compile_snippet_target})
|
||||
set_source_files_properties(${CMAKE_CURRENT_BINARY_DIR}/${compile_snippet_src}
|
||||
PROPERTIES OBJECT_DEPENDS ${snippet_src})
|
||||
endforeach(snippet_src)
|
||||
Reference in New Issue
Block a user