| /external/eigen/test/ |
| basicstuff.cpp | 18 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
19 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
30 square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>::Random(rows, rows);
74 Matrix<Scalar, 1, MatrixType::RowsAtCompileTime> rv(rows);
75 Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> cv(rows);
150 typedef Matrix<RealScalar, MatrixType::RowsAtCompileTime, MatrixType::ColsAtCompileTime> RealMatrixType;
202 Matrix<Scalar,4,1> m(raw);
206 VERIFY_IS_EQUAL(m,(Matrix<Scalar,4,1>(raw[0],raw[1],raw[2],raw[3])));
210 Matrix<Scalar,3,1> m(raw);
214 VERIFY_IS_EQUAL(m,(Matrix<Scalar,3,1>(raw[0],raw[1],raw[2])))
[all...] |
| qr_fullpivoting.cpp | 26 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> MatrixQType;
87 // let's build a matrix more stable to inverse
101 // now construct a matrix with prescribed determinant
155 CALL_SUBTEST_7((FullPivHouseholderQR<Matrix<float,10,20> >(10,20)));
156 CALL_SUBTEST_7((FullPivHouseholderQR<Matrix<float,10,20> >(Matrix<float,10,20>::Random())));
157 CALL_SUBTEST_7((FullPivHouseholderQR<Matrix<float,20,10> >(20,10)));
158 CALL_SUBTEST_7((FullPivHouseholderQR<Matrix<float,20,10> >(Matrix<float,20,10>::Random())));
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| diagonalmatrices.cpp | 17 typedef Matrix<Scalar, Rows, 1> VectorType;
18 typedef Matrix<Scalar, 1, Cols> RowVectorType;
19 typedef Matrix<Scalar, Rows, Rows> SquareMatrixType;
20 typedef Matrix<Scalar, Dynamic, Dynamic> DynMatrixType;
23 typedef Matrix<Scalar, Rows==Dynamic?Dynamic:2*Rows, Cols==Dynamic?Dynamic:2*Cols> BigMatrix;
118 CALL_SUBTEST_1( diagonalmatrices(Matrix<float, 1, 1>()) );
120 CALL_SUBTEST_3( diagonalmatrices(Matrix<double,3,3,RowMajor>()) );
122 CALL_SUBTEST_5( diagonalmatrices(Matrix<float,4,4,RowMajor>()) );
125 CALL_SUBTEST_8( diagonalmatrices(Matrix<double,Dynamic,Dynamic,RowMajor>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
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| ref.cpp | 38 typedef Matrix<Scalar,Dynamic,Dynamic,MatrixType::Options> DynMatrixType;
39 typedef Matrix<RealScalar,Dynamic,Dynamic,MatrixType::Options> RealDynMatrixType;
86 typedef Matrix<Scalar,Dynamic,1,VectorType::Options> DynMatrixType;
87 typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> MatrixType;
88 typedef Matrix<RealScalar,Dynamic,1,VectorType::Options> RealDynMatrixType;
165 EIGEN_DONT_INLINE void call_ref_7(Ref<Matrix<float,Dynamic,3> > a, const B &b) { VERIFY_IS_EQUAL(a,b); }
217 VERIFY_EVALUATION_COUNT( call_ref_6(A.row(3),A.row(3)), 1); // evaluated into a temp thouth it could be avoided by viewing it as a 1xn matrix
227 typedef Matrix<double,Dynamic,Dynamic,RowMajor> RowMatrixXd;
261 CALL_SUBTEST_1( ref_vector(Matrix<float, 1, 1>()) );
262 CALL_SUBTEST_1( check_const_correctness(Matrix<float, 1, 1>()) )
[all...] |
| /packages/apps/Gallery2/src/com/android/gallery3d/filtershow/imageshow/ |
| GeometryMathUtils.java | 21 import android.graphics.Matrix;
217 private static void concatMirrorMatrix(Matrix m, GeometryHolder holder) {
317 Matrix m = getCropSelectionToScreenMatrix(null, holder, width, height, frame.width(),
331 public static Matrix getImageToScreenMatrix(Collection<FilterRepresentation> geometry,
338 public static Matrix getPartialToScreenMatrix(Collection<FilterRepresentation> geometry,
349 Matrix compensation = new Matrix();
372 public static Matrix getOriginalToScreen(GeometryHolder holder, boolean rotate,
380 Matrix m = getCropSelectionToScreenMatrix(null, holder, (int) originalWidth,
407 Matrix m = getCropSelectionToScreenMatrix(crop, holder, photo.getWidth(), photo.getHeight()
[all...] |
| /cts/apps/CtsVerifier/src/com/android/cts/verifier/sensors/sixdof/Renderer/ |
| ComplexMovementRenderer.java | 34 import android.opengl.Matrix;
122 // Update the MV matrix with new pose data.
135 // Set up projection matrix to match camera intrinsics.
137 // Set up view matrix to match current device positioning.
221 * Update the view matrix of the Renderer to follow the position of the device in the current
226 Matrix.setIdentityM(invertModelMat, 0);
229 Matrix.setIdentityM(temporaryMatrix, 0);
231 Matrix.setIdentityM(mPoseViewMatrix, 0);
232 Matrix.invertM(invertModelMat, 0,
234 Matrix.multiplyMM(temporaryMatrix, 0, mPoseViewMatrix, 0
[all...] |
| /cts/tests/tests/graphics/src/android/graphics/cts/ |
| ComposeShaderTest.java | 27 import android.graphics.Matrix;
105 Matrix translate1x1 = new Matrix();
107 Matrix translate0x1 = new Matrix();
109 Matrix translate1x0 = new Matrix();
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| CanvasTest.java | 36 import android.graphics.Matrix;
210 final Matrix m1 = new Matrix();
215 final Matrix m2 = new Matrix();
220 final Matrix m3 = mCanvas.getMatrix();
227 final Matrix m4 = mCanvas.getMatrix();
239 Matrix m1 = new Matrix();
244 Matrix m2 = new Matrix()
[all...] |
| /external/eigen/unsupported/test/ |
| EulerAngles.cpp | 17 void verify_euler_ranged(const Matrix<Scalar,3,1>& ea,
21 typedef Matrix<Scalar,3,3> Matrix3;
22 typedef Matrix<Scalar,3,1> Vector3;
125 void verify_euler(const Matrix<Scalar,3,1>& ea)
137 template<typename Scalar> void check_all_var(const Matrix<Scalar,3,1>& ea)
157 typedef Matrix<Scalar,3,3> Matrix3;
158 typedef Matrix<Scalar,3,1> Vector3;
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| matrix_power.cpp | 15 Matrix<T,2,2> A, B, C;
19 MatrixPower<Matrix<T,2,2> > Apow(A);
36 Matrix<std::complex<T>,2,2> A, B, C;
41 MatrixPower<Matrix<std::complex<T>,2,2> > Apow(A);
58 Matrix<T,3,1> v;
62 v = Matrix<T,3,1>::Random();
65 VERIFY(AngleAxis<T>(angle, v).matrix().isApprox(AngleAxis<T>(1,v).matrix().pow(angle), tol));
149 typedef Matrix<double,3,3,RowMajor> Matrix3dRowMajor;
150 typedef Matrix<long double,3,3> Matrix3e
[all...] |
| NumericalDiff.cpp | 20 typedef Matrix<Scalar,InputsAtCompileTime,1> InputType;
21 typedef Matrix<Scalar,ValuesAtCompileTime,1> ValueType;
22 typedef Matrix<Scalar,ValuesAtCompileTime,InputsAtCompileTime> JacobianType;
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| autodiff_scalar.cpp | 20 typedef Matrix<Scalar, 1, 1> Deriv1;
44 typedef Matrix<Scalar, 1, 1> Deriv1;
78 typedef Eigen::Matrix<Scalar, 1, 1> Deriv;
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| /frameworks/base/tests/CanvasCompare/src/com/android/test/hwuicompare/ |
| ResourceModifiers.java | 31 import android.graphics.Matrix;
51 private final Matrix mMtx1;
52 private final Matrix mMtx2;
53 private final Matrix mMtx3;
77 mMtx1 = new Matrix();
84 mMtx2 = new Matrix();
90 mMtx3 = new Matrix();
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| /frameworks/support/compat/src/main/java/androidx/core/app/ |
| SharedElementCallback.java | 21 import android.graphics.Matrix;
43 private Matrix mTempMatrix;
157 * @param viewToGlobalMatrix A matrix containing a transform from the view to the screen
166 public Parcelable onCaptureSharedElementSnapshot(View sharedElement, Matrix viewToGlobalMatrix,
179 if (imageView.getScaleType() == ScaleType.MATRIX) {
180 Matrix matrix = imageView.getImageMatrix(); local
182 matrix.getValues(values);
197 mTempMatrix = new Matrix();
241 * {@link #onCaptureSharedElementSnapshot(android.view.View, android.graphics.Matrix,
271 Matrix matrix = new Matrix(); local
[all...] |
| /external/eigen/Eigen/src/Eigenvalues/ |
| GeneralizedEigenSolver.h | 27 * eigen-decomposition; this is expected to be an instantiation of the Matrix
30 * The generalized eigenvalues and eigenvectors of a matrix pair \f$ A \f$ and \f$ B \f$ are scalars
32 * \f$ D \f$ is a diagonal matrix with the eigenvalues on the diagonal, and
33 * \f$ V \f$ is a matrix with the eigenvectors as its columns, then \f$ A V =
34 * B V D \f$. The matrix \f$ V \f$ is almost always invertible, in which case we
37 * The generalized eigenvalues and eigenvectors of a matrix pair may be complex, even when the
38 * matrices are real. Moreover, the generalized eigenvalue might be infinite if the matrix B is
46 * a given matrix pair. Alternatively, you can use the
91 typedef Matrix<Scalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> VectorType;
98 typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> ComplexVectorTy (…)
[all...] |
| /external/eigen/Eigen/src/Geometry/ |
| EulerAngles.h | 18 * \returns the Euler-angles of the rotation matrix \c *this using the convention defined by the triplet (\a a0,\a a1,\a a2)
36 EIGEN_DEVICE_FUNC inline Matrix<typename MatrixBase<Derived>::Scalar,3,1>
45 Matrix<Scalar,3,1> res;
46 typedef Matrix<typename Derived::Scalar,2,1> Vector2;
|
| /external/eigen/Eigen/src/QR/ |
| ColPivHouseholderQR_LAPACKE.h | 29 * Householder QR decomposition of a matrix with column pivoting based on
43 ColPivHouseholderQR<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic> >& \
44 ColPivHouseholderQR<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic> >::compute( \
45 const EigenBase<InputType>& matrix) \
49 typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic> MatrixType; \
51 Index rows = matrix.rows();\
52 Index cols = matrix.cols();\
54 m_qr = matrix;\
|
| /external/eigen/Eigen/src/SVD/ |
| UpperBidiagonalization.h | 33 typedef Matrix<Scalar, 1, ColsAtCompileTime> RowVectorType;
34 typedef Matrix<Scalar, RowsAtCompileTime, 1> ColVectorType;
36 typedef Matrix<Scalar, ColsAtCompileTime, 1> DiagVectorType;
37 typedef Matrix<Scalar, ColsAtCompileTimeMinusOne, 1> SuperDiagVectorType;
56 explicit UpperBidiagonalization(const MatrixType& matrix)
57 : m_householder(matrix.rows(), matrix.cols()),
58 m_bidiagonal(matrix.cols(), matrix.cols()),
61 compute(matrix);
[all...] |
| /external/eigen/bench/perf_monitoring/gemm/ |
| lazy_gemm.cpp | 28 typedef Matrix<Scalar,m,k,TA> MatA;
29 typedef Matrix<Scalar,k,n> MatB;
30 typedef Matrix<Scalar,m,n> MatC;
|
| /external/llvm/lib/CodeGen/ |
| RegAllocBase.cpp | 61 Matrix = &mat;
97 Matrix->invalidateVirtRegs();
133 Matrix->assign(*VirtReg, AvailablePhysReg);
|
| /external/swiftshader/src/Renderer/ |
| Point.cpp | 17 #include "Matrix.hpp"
54 Point operator*(const Matrix &M, const Point &P)
61 Point operator*(const Point &P, const Matrix &M)
68 Point &operator*=(Point &P, const Matrix &M)
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| /external/tensorflow/tensorflow/core/kernels/ |
| gemm_functors.h | 16 // This is a set of different implementations for the basic matrix by matrix
50 // A readable but slow implementation of matrix multiplication, useful for
84 // Uses the optimized EigenTensor library to implement the matrix multiplication
94 typename tensorflow::TTypes<const T1>::Matrix a_matrix(a, m, k);
95 typename tensorflow::TTypes<const T2>::Matrix b_matrix(b, k, n);
96 typename tensorflow::TTypes<T3>::Matrix c_matrix(c, m, n);
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| svd_op_impl.h | 76 using Matrix = typename Base::Matrix;
88 Eigen::BDCSVD<Matrix> svd(inputs[0], options);
|
| /frameworks/base/core/java/android/transition/ |
| PatternPathMotion.java | 20 import android.graphics.Matrix;
45 private final Matrix mTempMatrix = new Matrix();
|
| /frameworks/base/core/java/com/android/internal/util/ |
| ImageUtils.java | 22 import android.graphics.Matrix;
48 private final Matrix mTempMatrix = new Matrix();
|
