/external/eigen/test/ |
D | diagonalmatrices.cpp | 31 RowVectorType rv1 = RowVectorType::Random(cols), in diagonalmatrices() local 34 RightDiagonalMatrix rdm1(rv1), rdm2(rv2); in diagonalmatrices() 63 VERIFY_IS_APPROX( ((m1 * rv1.asDiagonal())(i,j)) , rv1(j) * m1(i,j) ); in diagonalmatrices() 66 VERIFY_IS_APPROX( ((m1 * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * m1(i,j) ); in diagonalmatrices() 67 VERIFY_IS_APPROX( (((m1+m2) * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * (m1+m2)(i,j) ); in diagonalmatrices() 72 VERIFY_IS_APPROX( (res = m1.topRows(rows/2) * rv1.asDiagonal()), tmp * rv1.asDiagonal() ); in diagonalmatrices() 85 big.block(i,j,rows,cols) = big.block(i,j,rows,cols) * rv1.asDiagonal(); in diagonalmatrices() 86 VERIFY_IS_APPROX((big.block(i,j,rows,cols)) , m1 * rv1.asDiagonal() ); in diagonalmatrices()
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D | product_notemporary.cpp | 32 RowVectorType rv1 = RowVectorType::Random(rows), rvres(rows); in product_notemporary() local 122 VERIFY_EVALUATION_COUNT( cvres.noalias() -= m1 * rv1.adjoint(), 0 ); in product_notemporary() 131 m3 = cv1 * rv1; in product_notemporary() 132 VERIFY_EVALUATION_COUNT( m3.noalias() = cv1 * rv1, 0 ); in product_notemporary() 133 VERIFY_EVALUATION_COUNT( m3.noalias() = (cv1+cv1) * (rv1+rv1), 1 ); in product_notemporary() 134 VERIFY_EVALUATION_COUNT( m3.noalias() = (m1*cv1) * (rv1), 1 ); in product_notemporary() 135 VERIFY_EVALUATION_COUNT( m3.noalias() += (m1*cv1) * (rv1), 1 ); in product_notemporary() 136 VERIFY_EVALUATION_COUNT( rm3.noalias() = (cv1) * (rv1 * m1), 1 ); in product_notemporary() 137 VERIFY_EVALUATION_COUNT( rm3.noalias() -= (cv1) * (rv1 * m1), 1 ); in product_notemporary() 138 VERIFY_EVALUATION_COUNT( rm3.noalias() = (m1*cv1) * (rv1 * m1), 2 ); in product_notemporary() [all …]
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D | geo_orthomethods.cpp | 75 RealVector3 rv1 = RealVector3::Random(); in orthomethods_3() local 76 VERIFY_IS_APPROX(v1.cross(rv1.template cast<Scalar>()), v1.cross(rv1)); in orthomethods_3() 77 VERIFY_IS_APPROX(rv1.template cast<Scalar>().cross(v1), rv1.cross(v1)); in orthomethods_3()
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D | adjoint.cpp | 144 RealVectorType rv1 = RealVectorType::Random(rows); in adjoint() local 145 VERIFY_IS_APPROX(v1.dot(rv1.template cast<Scalar>()), v1.dot(rv1)); in adjoint() 146 VERIFY_IS_APPROX(rv1.template cast<Scalar>().dot(v1), rv1.dot(v1)); in adjoint()
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D | array_for_matrix.cpp | 27 RowVectorType rv1 = RowVectorType::Random(cols); in array_for_matrix() local 56 VERIFY_IS_APPROX(m3.rowwise() += rv1, m1.rowwise() + rv1); in array_for_matrix() 58 VERIFY_IS_APPROX(m3.rowwise() -= rv1, m1.rowwise() - rv1); in array_for_matrix()
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D | array.cpp | 30 RowVectorType rv1 = RowVectorType::Random(cols); in array() local 84 VERIFY_IS_APPROX(m3.rowwise() += rv1, m1.rowwise() + rv1); in array() 86 VERIFY_IS_APPROX(m3.rowwise() -= rv1, m1.rowwise() - rv1); in array()
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D | sparse_product.cpp | 214 RowSpVector rv0(depth), rv1; in sparse_product() local 215 RowDenseVector drv0(depth), drv1(rv1); in sparse_product() 219 VERIFY_IS_APPROX(rv1=rv0*m3, drv1=drv0*refMat3); in sparse_product() 222 VERIFY_IS_APPROX(rv1=m3*cv0, drv1=refMat3*dcv0); in sparse_product()
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D | ref.cpp | 109 RefDynMat rv1 = v1; in ref_vector() local 110 VERIFY_IS_EQUAL(rv1, v1); in ref_vector()
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/external/libaom/libaom/av1/encoder/ |
D | mathutils.h | 139 double *rv1 = (double *)aom_malloc(sizeof(*rv1) * (n + 1)); in svdcmp() local 143 rv1[i] = scale * g; in svdcmp() 177 for (k = l; k < n; k++) rv1[k] = u[i][k] / h; in svdcmp() 180 for (k = l; k < n; k++) u[j][k] += s * rv1[k]; in svdcmp() 185 anorm = fmax(anorm, (fabs(w[i]) + fabs(rv1[i]))); in svdcmp() 200 g = rv1[i]; in svdcmp() 225 if ((double)(fabs(rv1[l]) + anorm) == anorm || nm < 0) { in svdcmp() 235 f = s * rv1[i]; in svdcmp() 236 rv1[i] = c * rv1[i]; in svdcmp() 261 aom_free(rv1); in svdcmp() [all …]
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/external/llvm-project/llvm/test/CodeGen/ARM/ |
D | cortex-a57-misched-stm-wrback.ll | 30 %rv1 = mul i32 %val, %v0 31 %rv2 = mul i32 %rv1, %v1
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/external/llvm/test/CodeGen/SPARC/ |
D | 64abi.ll | 304 %rv1 = insertvalue { i64, i64 } undef, i64 %r1, 0 307 %rv2 = insertvalue { i64, i64 } %rv1, i64 %r2, 1 333 %rv1 = insertvalue { i32, float } undef, i32 %r1, 0 336 %rv2 = insertvalue { i32, float } %rv1, float %r2, 1 364 %rv1 = insertvalue { i32, float } undef, i32 %r1, 0 367 %rv2 = insertvalue { i32, float } %rv1, float %r2, 1 397 %rv1 = insertvalue { i32, i32 } undef, i32 %r1, 1 400 %rv2 = insertvalue { i32, i32 } %rv1, i32 %r2, 0
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/external/llvm-project/llvm/test/CodeGen/SPARC/ |
D | 64abi.ll | 302 %rv1 = insertvalue { i64, i64 } undef, i64 %r1, 0 305 %rv2 = insertvalue { i64, i64 } %rv1, i64 %r2, 1 331 %rv1 = insertvalue { i32, float } undef, i32 %r1, 0 334 %rv2 = insertvalue { i32, float } %rv1, float %r2, 1 362 %rv1 = insertvalue { i32, float } undef, i32 %r1, 0 365 %rv2 = insertvalue { i32, float } %rv1, float %r2, 1 395 %rv1 = insertvalue { i32, i32 } undef, i32 %r1, 1 398 %rv2 = insertvalue { i32, i32 } %rv1, i32 %r2, 0
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/external/llvm-project/llvm/test/CodeGen/X86/ |
D | pr48215.ll | 69 %rv1 = shufflevector <4 x i32> %rv0, <4 x i32> undef, <4 x i32> zeroinitializer 71 %rc0 = icmp slt <4 x i32> %rv1, <i32 4, i32 5, i32 6, i32 7>
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/external/libchrome/base/memory/ |
D | discardable_shared_memory_unittest.cc | 249 bool rv1 = memory1.CreateAndMap(kDataSize); in TEST() local 250 ASSERT_TRUE(rv1); in TEST()
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/external/llvm-project/llvm/test/Transforms/SLPVectorizer/X86/ |
D | hsub.ll | 417 %rv1 = insertelement <16 x i16> %rv0 , i16 %r1 , i32 1 418 %rv2 = insertelement <16 x i16> %rv1 , i16 %r2 , i32 2
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D | hadd.ll | 417 %rv1 = insertelement <16 x i16> %rv0 , i16 %r1 , i32 1 418 %rv2 = insertelement <16 x i16> %rv1 , i16 %r2 , i32 2
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | control_flow_ops_py_test.py | 518 rv1 = resource_variable_ops.ResourceVariable([1.0, 2.0]) 521 result = control_flow_ops.cond(pred, lambda: rv1, lambda: rv2) 522 grads = gradients_impl.gradients(result, [rv1, rv2])
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/external/hyphenation-patterns/hu/ |
D | hyph-hu.pat.txt | 48680 rv1állv 48688 rv1á2rú 48720 rv1éke 48721 rv1ékk 48722 rv1ékn 48723 rv1ékü 48724 rv1é2lel 48767 rv1öss 48768 rv1ős
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