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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
conjugate expressions are now properly caught by Product
=> significant speedup in expr. like a.adjoint() * b, for complex scalar type (~ x3)
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@@ -28,19 +28,18 @@ void test_product_large()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( product(MatrixXf(ei_random<int>(1,320), ei_random<int>(1,320))) );
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//CALL_SUBTEST( product(MatrixXf(ei_random<int>(1,320), ei_random<int>(1,320))) );
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// CALL_SUBTEST( product(MatrixXd(ei_random<int>(1,320), ei_random<int>(1,320))) );
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// CALL_SUBTEST( product(MatrixXi(ei_random<int>(1,320), ei_random<int>(1,320))) );
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// CALL_SUBTEST( product(MatrixXcf(ei_random<int>(1,50), ei_random<int>(1,50))) );
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// CALL_SUBTEST( product(Matrix<float,Dynamic,Dynamic,RowMajor>(ei_random<int>(1,320), ei_random<int>(1,320))) );
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CALL_SUBTEST( product(MatrixXd(ei_random<int>(1,320), ei_random<int>(1,320))) );
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CALL_SUBTEST( product(MatrixXi(ei_random<int>(1,320), ei_random<int>(1,320))) );
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CALL_SUBTEST( product(MatrixXcf(ei_random<int>(1,50), ei_random<int>(1,50))) );
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CALL_SUBTEST( product(Matrix<float,Dynamic,Dynamic,RowMajor>(ei_random<int>(1,320), ei_random<int>(1,320))) );
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}
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{
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// test a specific issue in DiagonalProduct
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// int N = 1000000;
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// VectorXf v = VectorXf::Ones(N);
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// MatrixXf m = MatrixXf::Ones(N,3);
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// m = (v+v).asDiagonal() * m;
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// VERIFY_IS_APPROX(m, MatrixXf::Constant(N,3,2));
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int N = 1000000;
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VectorXf v = VectorXf::Ones(N);
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MatrixXf m = MatrixXf::Ones(N,3);
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m = (v+v).asDiagonal() * m;
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VERIFY_IS_APPROX(m, MatrixXf::Constant(N,3,2));
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}
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}
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