| /external/jmonkeyengine/engine/src/blender/com/jme3/scene/plugins/blender/textures/ |
| D | TextureGeneratorMagic.java | 54 public void compute(float[] xyz, float turbulence) {
60 public void compute(float[] xyz, float turbulence) {
66 public void compute(float[] xyz, float turbulence) {
72 public void compute(float[] xyz, float turbulence) {
78 public void compute(float[] xyz, float turbulence) {
84 public void compute(float[] xyz, float turbulence) {
90 public void compute(float[] xyz, float turbulence) {
96 public void compute(float[] xyz, float turbulence) {
102 public void compute(float[] xyz, float turbulence) {
108 public void compute(float[] xyz, float turbulence) {
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| /external/eigen/unsupported/test/ |
| D | svd_common.h | 161 svd.compute(a, 0); in svd_verify_assert()
169 svd.compute(a, ComputeThinU); in svd_verify_assert()
173 svd.compute(a, ComputeThinV); in svd_verify_assert()
180 VERIFY_RAISES_ASSERT(svd.compute(a, ComputeThinU)) in svd_verify_assert()
181 VERIFY_RAISES_ASSERT(svd.compute(a, ComputeThinV)) in svd_verify_assert()
203 svd.compute(MatrixType::Constant(10,10,some_inf), ComputeFullU | ComputeFullV); in svd_inf_nan()
207 svd.compute(MatrixType::Constant(10,10,some_nan), ComputeFullU | ComputeFullV); in svd_inf_nan()
211 svd.compute(m, ComputeFullU | ComputeFullV); in svd_inf_nan()
215 svd.compute(m, ComputeFullU | ComputeFullV); in svd_inf_nan()
229 svd.compute(m); in svd_preallocate()
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| /external/eigen/test/ |
| D | nomalloc.cpp | 130 Eigen::LLT<Matrix> LLT; LLT.compute(A); in ctms_decompositions()
133 Eigen::LDLT<Matrix> LDLT; LDLT.compute(A); in ctms_decompositions()
138 Eigen::HessenbergDecomposition<ComplexMatrix> hessDecomp; hessDecomp.compute(complexA); in ctms_decompositions()
139 Eigen::ComplexSchur<ComplexMatrix> cSchur(size); cSchur.compute(complexA); in ctms_decompositions()
140 Eigen::ComplexEigenSolver<ComplexMatrix> cEigSolver; cEigSolver.compute(complexA); in ctms_decompositions()
141 Eigen::EigenSolver<Matrix> eigSolver; eigSolver.compute(A); in ctms_decompositions()
142 Eigen::SelfAdjointEigenSolver<Matrix> saEigSolver(size); saEigSolver.compute(saA); in ctms_decompositions()
143 Eigen::Tridiagonalization<Matrix> tridiag; tridiag.compute(saA); in ctms_decompositions()
146 Eigen::PartialPivLU<Matrix> ppLU; ppLU.compute(A); in ctms_decompositions()
149 Eigen::FullPivLU<Matrix> fpLU; fpLU.compute(A); in ctms_decompositions()
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| D | jacobisvd.cpp | 262 svd.compute(a, 0); in jacobisvd_verify_assert()
270 svd.compute(a, ComputeThinU); in jacobisvd_verify_assert()
275 svd.compute(a, ComputeThinV); in jacobisvd_verify_assert()
281 VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeFullU|ComputeThinV)) in jacobisvd_verify_assert()
282 VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeThinU|ComputeThinV)) in jacobisvd_verify_assert()
283 VERIFY_RAISES_ASSERT(svd_fullqr.compute(a, ComputeThinU|ComputeFullV)) in jacobisvd_verify_assert()
287 VERIFY_RAISES_ASSERT(svd.compute(a, ComputeThinU)) in jacobisvd_verify_assert()
288 VERIFY_RAISES_ASSERT(svd.compute(a, ComputeThinV)) in jacobisvd_verify_assert()
322 svd.compute(MatrixType::Constant(10,10,some_inf), ComputeFullU | ComputeFullV); in jacobisvd_inf_nan()
326 svd.compute(MatrixType::Constant(10,10,nan), ComputeFullU | ComputeFullV); in jacobisvd_inf_nan()
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| D | schur_complex.cpp | 43 cs1.compute(A); in schur()
52 cs3.setMaxIterations(ComplexSchur<MatrixType>::m_maxIterationsPerRow * size).compute(A); in schur()
56 cs3.setMaxIterations(1).compute(A); in schur()
62 cs3.setMaxIterations(1).compute(Atriangular); // triangular matrices do not need any iterations in schur()
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| D | schur_real.cpp | 62 rs1.compute(A); in schur()
71 rs3.setMaxIterations(RealSchur<MatrixType>::m_maxIterationsPerRow * size).compute(A); in schur()
76 rs3.setMaxIterations(1).compute(A); in schur()
83 rs3.setMaxIterations(1).compute(Atriangular); // triangular matrices do not need any iterations in schur()
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| D | eigensolver_selfadjoint.cpp | 74 eiSymmGen.compute(symmC, symmB,Ax_lBx); in selfadjointeigensolver()
80 eiSymmGen.compute(symmC, symmB,BAx_lx); in selfadjointeigensolver()
86 eiSymmGen.compute(symmC, symmB,ABx_lx); in selfadjointeigensolver()
92 eiSymm.compute(symmC); in selfadjointeigensolver()
107 eiSymmUninitialized.compute(symmA, false); in selfadjointeigensolver()
|
| /external/libxml2/result/c14n/with-comments/ |
| D | example-4 | 5 <compute>value>"0" && value<"10" ?"valid":"error"</compute>
6 …<compute expr="value>"0" && value<"10" ?"valid":"err…
|
| /external/libxml2/result/c14n/1-1-without-comments/ |
| D | example-4 | 5 <compute>value>"0" && value<"10" ?"valid":"error"</compute>
6 …<compute expr="value>"0" && value<"10" ?"valid":"err…
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| /external/libxml2/result/c14n/without-comments/ |
| D | example-4 | 5 <compute>value>"0" && value<"10" ?"valid":"error"</compute>
6 …<compute expr="value>"0" && value<"10" ?"valid":"err…
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| /external/eigen/Eigen/src/Eigenvalues/ |
| D | GeneralizedSelfAdjointEigenSolver.h | 111 compute(matA, matB, options);
154 GeneralizedSelfAdjointEigenSolver& compute(const MatrixType& matA, const MatrixType& matB,
164 compute(const MatrixType& matA, const MatrixType& matB, int options) in compute() function
189 Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); in compute()
202 Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly); in compute()
215 Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly); in compute()
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| /external/deqp/doc/testspecs/GLES31/ |
| D | functional.compute.basic.txt | 22 + dEQP-GLES31.functional.compute.basic.*
25 + Empty compute shader
26 + Single and multiple compute shader invocations (1 to 4k invocations)
56 The objective of basic compute tests is to provide a simplest possible test
57 case for each of the major compute-related features. The tests will not try to
62 compute shader. One or more (in API-level barrier tests) compute invocations
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| D | functional.compute.indirect_dispatch.txt | 22 + dEQP-GLES31.functional.compute.indirect_dispatch.*
32 + Buffers generated using compute shaders
43 glBufferData(). In gen_in_compute cases a compute shader is first dispatches,
45 as a SSBO. Memory barrier is issued after the first compute shader in
48 Actual indirect compute tasks use a simple compute shader, that has access to
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| /external/clang/test/Analysis/inlining/ |
| D | eager-reclamation-path-notes.c | 10 int compute() { in compute() function
21 use(p, compute()); in testSimple()
33 use2(p, compute()); in passThrough()
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| /external/javassist/src/main/javassist/compiler/ast/ |
| D | DoubleConst.java | 44 public ASTree compute(int op, ASTree right) { in compute() method in DoubleConst
61 return compute(op, this.value, right.value, newType); in compute0()
65 return compute(op, this.value, (double)right.value, this.type); in compute0()
68 private static DoubleConst compute(int op, double value1, double value2, in compute() method in DoubleConst
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| /external/linux-tools-perf/src/tools/perf/Documentation/ |
| D | perf-diff.txt | 76 --compute::
90 Specify compute sorting column number.
114 baseline/A compute/B compute/C samples
125 baseline/B compute/A compute/C samples
136 baseline/C compute/B compute/A samples
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| /external/eigen/Eigen/src/PaStiXSupport/ |
| D | PaStiXSupport.h | 258 void compute(ColSpMatrix& mat);
315 void PastixBase<Derived>::compute(ColSpMatrix& mat)
448 compute(matrix);
455 void compute (const MatrixType& matrix)
460 Base::compute(temp);
558 compute(matrix);
564 void compute (const MatrixType& matrix)
568 Base::compute(temp);
639 compute(matrix);
645 void compute (const MatrixType& matrix)
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| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| D | MatrixSquareRoot.h | 53 template <typename ResultType> void compute(ResultType &result);
80 void MatrixSquareRootQuasiTriangular<MatrixType>::compute(ResultType &result) in compute() function
274 template <typename ResultType> void compute(ResultType &result);
282 void MatrixSquareRootTriangular<MatrixType>::compute(ResultType &result) in compute() function
333 template <typename ResultType> void compute(ResultType &result);
350 template <typename ResultType> void compute(ResultType &result) in compute() function
359 MatrixSquareRootQuasiTriangular<MatrixType>(T).compute(sqrtT); in compute()
383 template <typename ResultType> void compute(ResultType &result) in compute() function
392 MatrixSquareRootTriangular<MatrixType>(T).compute(sqrtT); in compute()
437 me.compute(result); in evalTo()
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| /external/clang/test/Analysis/ |
| D | temporaries.cpp | 175 extern bool compute(bool); in testConsistencyNested()
186 if (compute(i == 5 && in testConsistencyNested()
187 (i == 4 || compute(true) || in testConsistencyNested()
188 compute(i == 5 && (i == 4 || check(NoReturnDtor()))))) || in testConsistencyNested()
193 if (compute(i == 5 && in testConsistencyNested()
195 compute(i == 5 && (i == 4 || check(NoReturnDtor()))))) || in testConsistencyNested()
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| /external/eigen/unsupported/Eigen/src/Eigenvalues/ |
| D | ArpackSelfAdjointEigenSolver.h | 111 compute(A, B, nbrEigenvalues, eigs_sigma, options, tol); in m_eivec()
146 compute(A, nbrEigenvalues, eigs_sigma, options, tol); in m_eivec()
173 ArpackGeneralizedSelfAdjointEigenSolver& compute(const MatrixType& A, const MatrixType& B,
199 ArpackGeneralizedSelfAdjointEigenSolver& compute(const MatrixType& A,
335 ::compute(const MatrixType& A, Index nbrEigenvalues, in compute() function
339 compute(A, B, nbrEigenvalues, eigs_sigma, options, tol); in compute()
348 ::compute(const MatrixType& A, const MatrixType& B, Index nbrEigenvalues, in compute() function
476 OP.compute(B); in compute()
482 OP.compute(A); in compute()
494 OP.compute(AminusSigmaB); in compute()
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| /external/eigen/Eigen/src/SparseCholesky/ |
| D | SimplicialCholesky.h | 58 derived().compute(matrix); in SimplicialCholeskyBase()
185 void compute(const MatrixType& matrix) in compute() function
340 SimplicialLLT& compute(const MatrixType& matrix)
342 Base::template compute<false>(matrix);
435 SimplicialLDLT& compute(const MatrixType& matrix)
437 Base::template compute<true>(matrix);
497 compute(matrix);
527 SimplicialCholesky& compute(const MatrixType& matrix)
530 Base::template compute<true>(matrix);
532 Base::template compute<false>(matrix);
|
| /external/eigen/doc/snippets/ |
| D | HessenbergDecomposition_compute.cpp | 3 hd.compute(A);
5 hd.compute(2*A); // re-use hd to compute and store decomposition of 2A
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| D | ComplexSchur_compute.cpp | 3 schur.compute(A);
5 schur.compute(A.inverse());
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| D | RealSchur_compute.cpp | 3 schur.compute(A, /* computeU = */ false);
5 schur.compute(A.inverse(), /* computeU = */ false);
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| D | EigenSolver_compute.cpp | 3 es.compute(A, /* computeEigenvectors = */ false);
5 es.compute(A + MatrixXf::Identity(4,4), false); // re-use es to compute eigenvalues of A+I
|