| /external/eigen/test/ |
| D | bandmatrix.cpp | 25 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()
[all …]
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| /external/skia/tests/ |
| D | DiscardableMemoryPoolTest.cpp | 20 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()
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| /external/skqp/tests/ |
| D | DiscardableMemoryPoolTest.cpp | 20 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()
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| /external/harfbuzz_ng/src/ |
| D | gen-ucd-table.py | 38 dm1 = sorted(set(v for v in dm.values() if len(v) == 1)) variable
39 assert all((v[0] >> 16) in (0,2) for v in dm1)
40 dm1_p0_array = ['0x%04Xu' % (v[0] & 0xFFFF) for v in dm1 if (v[0] >> 16) == 0]
41 dm1_p2_array = ['0x%04Xu' % (v[0] & 0xFFFF) for v in dm1 if (v[0] >> 16) == 2]
42 dm1_order = {v:i+1 for i,v in enumerate(dm1)}
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| /external/tensorflow/tensorflow/lite/tools/optimize/sparsity/ |
| D | format_converter_test.cc | 36 const std::vector<int> dm1 = {4}; in TEST() local
38 EXPECT_EQ(dm1, dim_metadata[2]); in TEST()
66 const std::vector<int> dm1 = {4}; in TEST() local
69 EXPECT_EQ(dm1, dim_metadata[2]); in TEST()
160 const std::vector<int> dm1 = {3}; in TEST() local
162 EXPECT_EQ(dm1, dim_metadata[2]); in TEST()
190 const std::vector<int> dm1 = {3}; in TEST() local
193 EXPECT_EQ(dm1, dim_metadata[2]); in TEST()
285 const std::vector<int> dm1 = {2}; variable
291 EXPECT_EQ(dm1, dim_metadata[2]);
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | eigen_spatial_convolutions-inl.h | 1082 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
1102 const bool pad_col1 = dm1.padCol(c);
1110 !dm1.padRow(start_row) && !dm1.padRow(max_row - 1) && //
1128 const Index idx1 = dm1.baseIndex(start_row, c);
1157 const bool pad1 = pad_col1 || dm1.padRow(r);
1162 const Index idx1 = dm1.baseIndex(r, c);
1201 kernel.packet[1] = dm1.loadPacketStandard(k);
1218 block[1] = dm1.loadCoeffStandard(k);
1226 block[1] = dm1(k);
1290 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
[all …]
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| D | eigen_cuboid_convolution.h | 1238 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
1258 const bool pad_col1 = dm1.padCol(c);
1271 const bool pad_row1 = pad_col1 || dm1.padRow(r);
1279 const bool pad1 = pad_row1 || dm1.padPlane(p);
1284 const Index idx1 = dm1.baseIndex(p, r, c);
1327 kernel.packet[1] = dm1.loadPacketStandard(k);
1344 block[1] = dm1.loadCoeffStandard(k);
1352 block[1] = dm1(k);
1420 const SubMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
1440 const bool pad_col1 = dm1.padCol(c);
[all …]
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| /external/eigen/doc/ |
| D | TutorialSparse.dox | 258 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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| D | SparseQuickReference.dox | 133 dm2 = sm1 * dm1;
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| /external/tensorflow/tensorflow/cc/framework/ |
| D | gradients_test.cc | 424 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()
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| /external/eigen/Eigen/src/Core/products/ |
| D | GeneralBlockPanelKernel.h | 1965 const LinearMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
1975 kernel.packet[1%PacketSize] = dm1.loadPacket(k);
1989 blockB[count+1] = cj(dm1(k));
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| /external/tremolo/Tremolo/ |
| D | dpen.s | 289 dm1: label
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| /external/libabigail/src/ |
| D | abg-ir.cc | 23819 var_decl_sptr dm1 = *i; in types_have_similar_structure() local
23821 if (!types_have_similar_structure(dm1->get_type().get(), in types_have_similar_structure()
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| /external/skia/site/docs/dev/tools/ |
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