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Searched refs:dm1 (Results 1 – 10 of 10) sorted by relevance

/external/eigen/test/
Dbandmatrix.cpp25 DenseMatrixType dm1(rows,cols); in bandmatrix() local
26 dm1.setZero(); in bandmatrix()
29 dm1.diagonal().setConstant(123); in bandmatrix()
33 dm1.diagonal(i).setConstant(static_cast<RealScalar>(i)); in bandmatrix()
38 dm1.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); in bandmatrix()
41 VERIFY_IS_APPROX(dm1,m.toDenseMatrix()); in bandmatrix()
46 dm1.col(i).setConstant(static_cast<RealScalar>(i+1)); in bandmatrix()
51 if(a>0) dm1.block(0,d+supers,rows,a).setZero(); in bandmatrix()
52 dm1.block(0,supers+1,cols-supers-1-a,cols-supers-1-a).template triangularView<Upper>().setZero(); in bandmatrix()
53 dm1.block(subs+1,0,rows-subs-1-b,rows-subs-1-b).template triangularView<Lower>().setZero(); in bandmatrix()
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/external/skqp/tests/
DDiscardableMemoryPoolTest.cpp20 std::unique_ptr<SkDiscardableMemory> dm1(pool->create(100)); in DEF_TEST() local
21 REPORTER_ASSERT(reporter, dm1->data() != nullptr); in DEF_TEST()
23 dm1->unlock(); in DEF_TEST()
25 REPORTER_ASSERT(reporter, !dm1->lock()); in DEF_TEST()
/external/skia/tests/
DDiscardableMemoryPoolTest.cpp20 std::unique_ptr<SkDiscardableMemory> dm1(pool->create(100)); in DEF_TEST() local
21 REPORTER_ASSERT(reporter, dm1->data() != nullptr); in DEF_TEST()
23 dm1->unlock(); in DEF_TEST()
25 REPORTER_ASSERT(reporter, !dm1->lock()); in DEF_TEST()
/external/tensorflow/tensorflow/core/kernels/
Deigen_spatial_convolutions-inl.h845 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
865 const bool pad_col1 = dm1.padCol(c);
873 !dm1.padRow(start_row) && !dm1.padRow(max_row - 1) && //
891 const Index idx1 = dm1.baseIndex(start_row, c);
920 const bool pad1 = pad_col1 || dm1.padRow(r);
925 const Index idx1 = dm1.baseIndex(r, c);
964 kernel.packet[1] = dm1.loadPacketStandard(k);
981 block[1] = dm1.loadCoeffStandard(k);
989 block[1] = dm1(k);
1053 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
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Deigen_cuboid_convolution.h1044 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
1064 const bool pad_col1 = dm1.padCol(c);
1077 const bool pad_row1 = pad_col1 || dm1.padRow(r);
1085 const bool pad1 = pad_row1 || dm1.padPlane(p);
1090 const Index idx1 = dm1.baseIndex(p, r, c);
1133 kernel.packet[1] = dm1.loadPacketStandard(k);
1150 block[1] = dm1.loadCoeffStandard(k);
1158 block[1] = dm1(k);
1226 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
1246 const bool pad_col1 = dm1.padCol(c);
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/external/eigen/doc/
DTutorialSparse.dox258 sm2 = sm1.cwiseProduct(dm1);
259 dm2 = sm1 + dm1;
260 dm2 = dm1 - sm1;
262 …tter performed in two steps. For instance, instead of doing <tt>dm2 = sm1 + dm1</tt>, better write:
264 dm2 = dm1;
284 dm2 = dm1 * sm1.adjoint();
285 dm2 = 2. * sm1 * dm1;
289 dm2 = sm1.selfadjointView<>() * dm1; // if all coefficients of A are stored
290 dm2 = A.selfadjointView<Upper>() * dm1; // if only the upper part of A is stored
291 dm2 = A.selfadjointView<Lower>() * dm1; // if only the lower part of A is stored
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DSparseQuickReference.dox133 dm2 = sm1 * dm1;
/external/tensorflow/tensorflow/cc/framework/
Dgradients_test.cc424 auto dm1 = Const(scope_test_, {{0.5}, {0.5}}); in TEST_F() local
429 TF_ASSERT_OK(AddSymbolicGradients(scope_test_, {m1, m2}, {y}, {dm1, dm2}, in TEST_F()
450 auto dm1 = Const(scope_test_, {{0.5}, {0.5}}); in TEST_F() local
460 AddSymbolicGradients(scope_test_, {m1}, {z}, {dm1}, &grad_outputs); in TEST_F()
/external/eigen/Eigen/src/Core/products/
DGeneralBlockPanelKernel.h1965 const LinearMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
1975 kernel.packet[1%PacketSize] = dm1.loadPacket(k);
1989 blockB[count+1] = cj(dm1(k));
/external/tremolo/Tremolo/
Ddpen.s283 dm1: label