/external/eigen/doc/snippets/ |
H A D | MatrixBase_prod.cpp | 3 cout << "Here is the product of all the coefficients:" << endl << m.prod() << endl;
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H A D | PartialRedux_prod.cpp | 3 cout << "Here is the product of each row:" << endl << m.rowwise().prod() << endl;
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/external/skia/src/core/ |
H A D | SkMathPriv.h | 60 unsigned prod = a*b + 1; local 61 return (prod + (prod >> 8)) >> 8; 70 unsigned prod = a*b + 255; local 71 return (prod + (prod >> 8)) >> 8; 76 static inline unsigned SkDiv255Round(unsigned prod) { argument 77 prod += 128; 78 return (prod + (prod >> [all...] |
/external/skia/include/core/ |
H A D | SkMath.h | 107 unsigned prod = a*b + (1 << (shift - 1)); local 108 return (prod + (prod >> shift)) >> shift; 118 unsigned prod = a*b + 128; local 119 return (prod + (prod >> 8)) >> 8;
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H A D | SkScalar.h | 76 SkScalar prod = x * 0; local 77 // At this point, prod will either be NaN or 0 78 return !SkScalarIsNaN(prod); 82 SkScalar prod = 0; local 83 prod *= a; 84 prod *= b; 85 // At this point, prod will either be NaN or 0 86 return !SkScalarIsNaN(prod); 90 SkScalar prod = 0; local 92 prod * [all...] |
/external/eigen/test/ |
H A D | zerosized.cpp | 17 VERIFY(m.prod()==1); 59 Matrix<Scalar,Dynamic,Dynamic> prod = m.template block<MatrixType::RowsAtCompileTime,0>(0,0,rows,0) * m.template block<0,MatrixType::ColsAtCompileTime>(0,0,0,cols); local 60 VERIFY(prod.rows()==rows && prod.cols()==cols); 61 VERIFY(prod.isZero()); 62 prod = m.template block<1,0>(0,0) * m.template block<0,1>(0,0); 63 VERIFY(prod.size()==1); 64 VERIFY(prod.isZero());
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H A D | evaluators.cpp | 8 prod(const Lhs& lhs, const Rhs& rhs) function in namespace:Eigen 158 VERIFY_IS_APPROX_EVALUATOR2(d, prod(a,b), a*b); 159 VERIFY_IS_APPROX_EVALUATOR2(d.noalias(), prod(a,b), a*b); 160 VERIFY_IS_APPROX_EVALUATOR2(d, prod(a,b) + c, a*b + c); 161 VERIFY_IS_APPROX_EVALUATOR2(d, s * prod(a,b), s * a*b); 162 VERIFY_IS_APPROX_EVALUATOR2(d, prod(a,b).transpose(), (a*b).transpose()); 163 VERIFY_IS_APPROX_EVALUATOR2(d, prod(a,b) + prod(b,c), a*b + b*c); 165 // check that prod works even with aliasing present 167 copy_using_evaluator(a, prod( [all...] |
/external/webrtc/webrtc/modules/audio_coding/codecs/isac/fix/source/ |
H A D | filters_neon.c | 26 int64_t prod = 0; local 48 prod = vaddvq_s64(tmpb_v); 50 prod = vget_lane_s64(vadd_s64(vget_low_s64(tmpb_v), vget_high_s64(tmpb_v)), 54 temp = (uint32_t)(prod >> 31); 57 r[0] = (int32_t)(prod >> scaling); 94 prod = vaddvq_s64(tmpb_v); 96 prod = vget_lane_s64(vadd_s64(vget_low_s64(tmpb_v), vget_high_s64(tmpb_v)), 107 r[i] = (int32_t)((prod + prod_tail) >> scaling);
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H A D | filters.c | 27 int64_t prod = 0; local 35 prod += x[i] * x[i]; 39 temp = (uint32_t)(prod >> 31); 45 r[0] = (int32_t)(prod >> scaling); 49 prod = 0; 51 prod += x[j] * x[i + j]; 53 sum = (int32_t)(prod >> scaling);
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/external/toolchain-utils/deprecated/ |
H A D | compare_benchmarks.py | 147 prod = 1.0 155 prod = prod * (stats[key] / basestats[key]) 164 prod = math.exp(1.0 / count * math.log(prod)) 165 prod = (1.0 - prod) * 100 167 print('%s,,,%f' % ('Geomean', prod)) 169 print('%15.15s%15.15s%15.15s%14.2f%%' % ('Geomean', '', '', prod))
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/external/eigen/doc/examples/ |
H A D | tut_arithmetic_redux_basic.cpp | 11 cout << "Here is mat.prod(): " << mat.prod() << endl;
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/external/ltp/testcases/open_posix_testsuite/conformance/interfaces/sem_destroy/ |
H A D | 3-1.c | 33 pthread_t prod, cons; local 47 if (pthread_create(&prod, NULL, producer, (void *)cnt) != 0) { 56 if (pthread_join(prod, NULL) == 0 && pthread_join(cons, NULL) == 0) {
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/external/ltp/testcases/open_posix_testsuite/conformance/interfaces/sem_init/ |
H A D | 3-1.c | 33 pthread_t prod, cons; local 47 if (pthread_create(&prod, NULL, producer, (void *)cnt) != 0) { 56 if ((pthread_join(prod, NULL) == 0) && (pthread_join(cons, NULL) == 0)) {
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/external/eigen/bench/btl/libs/ublas/ |
H A D | ublas_interface.hh | 92 X = prod(A,B); 96 X = prod(A,B); 106 X.assign(prod(A,B)); 110 X.assign(prod(trans(A),B)); 114 X.assign(prod(A,B)); 126 // X = prod(trans(A),A); 127 X.assign(prod(trans(A),A)); 131 // X = prod(A,trans(A)); 132 X.assign(prod(A,trans(A)));
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/external/skia/src/opts/ |
H A D | SkColor_opts_SSE2.h | 37 __m128i prod = _mm_mullo_epi16(a, b); local 38 prod = _mm_add_epi32(prod, _mm_set1_epi32(128)); 39 prod = _mm_add_epi32(prod, _mm_srli_epi32(prod, 8)); 40 prod = _mm_srli_epi32(prod, 8); 42 return prod; 141 __m128i prod local [all...] |
/external/kernel-headers/original/uapi/linux/ |
H A D | zorro.h | 35 #define ZORRO_ID(manuf, prod, epc) \ 36 ((ZORRO_MANUF_##manuf << 16) | ((prod) << 8) | (epc))
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/external/valgrind/drd/tests/ |
H A D | matinv.c | 143 elem_t* prod; local 147 prod = new_matrix(rows1, cols2); 152 prod[i * cols2 + j] = 0; 155 prod[i * cols2 + j] += a1[i * cols1 + k] * a2[k * cols2 + j]; 159 return prod; 316 elem_t *a, *inv, *prod; local 348 prod = multiply_matrices(a, matrix_size, matrix_size, 350 error = identity_error(prod, matrix_size); 361 delete_matrix(prod);
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H A D | omp_matinv.c | 131 elem_t* prod; local 135 prod = new_matrix(rows1, cols2); 140 prod[i * cols2 + j] = 0; 143 prod[i * cols2 + j] += a1[i * cols1 + k] * a2[k * cols2 + j]; 147 return prod; 292 elem_t *a, *inv, *prod; local 328 prod = multiply_matrices(a, matrix_size, matrix_size, 330 error = identity_error(prod, matrix_size); 341 delete_matrix(prod);
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/external/eigen/bench/btl/libs/tvmet/ |
H A D | tvmet_interface.hh | 86 X = prod(A,B); 90 X = prod(A,B); 94 X = prod(trans(A),B);
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/external/selinux/python/sepolgen/src/sepolgen/ |
H A D | yacc.py | 192 prod = self.productions # Local reference to production list 270 p = prod[-t] 533 # prod - A list of symbols making up its production 545 # lr_index - LR item index (location of the ".") in the prod list. 563 if self.prod: 564 s = "%s -> %s" % (self.name," ".join(self.prod)) 574 if n > len(self.prod): return None 577 p.prod = list(self.prod) 582 p.prod [all...] |
/external/mdnsresponder/Clients/ |
H A D | Makefile | 33 LIBS = -L../mDNSPosix/build/prod/ -ldns_sd
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/external/eigen/Eigen/src/Core/products/ |
H A D | GeneralMatrixMatrixTriangular.h | 202 static void run(MatrixType& mat, const ProductType& prod, const typename MatrixType::Scalar& alpha, bool beta) argument 210 typename internal::add_const_on_value_type<ActualLhs>::type actualLhs = LhsBlasTraits::extract(prod.lhs()); 216 typename internal::add_const_on_value_type<ActualRhs>::type actualRhs = RhsBlasTraits::extract(prod.rhs()); 218 Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs().derived()) * RhsBlasTraits::extractScalarFactor(prod.rhs().derived()); 250 static void run(MatrixType& mat, const ProductType& prod, const typename MatrixType::Scalar& alpha, bool beta) argument 256 typename internal::add_const_on_value_type<ActualLhs>::type actualLhs = LhsBlasTraits::extract(prod.lhs()); 262 typename internal::add_const_on_value_type<ActualRhs>::type actualRhs = RhsBlasTraits::extract(prod.rhs()); 264 typename ProductType::Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs().derived()) * RhsBlasTraits::extractScalarFactor(prod 295 _assignProduct(const ProductType& prod, const Scalar& alpha, bool beta) argument [all...] |
/external/libmojo/third_party/ply/ |
H A D | yacc.py | 287 prod = self.productions # Local reference to production list (to avoid lookup on self.) 378 p = prod[-t] 602 prod = self.productions # Local reference to production list (to avoid lookup on self.) 675 p = prod[-t] 874 prod = self.productions # Local reference to production list (to avoid lookup on self.) 947 p = prod[-t] 1139 # prod - A list of symbols on the right side ['expr','PLUS','term'] 1154 def __init__(self,number,name,prod,precedence=('right',0),func=None,file='',line=0): 1156 self.prod = tuple(prod) [all...] |
/external/libopus/celt/tests/ |
H A D | test_unit_mathops.c | 93 double prod; local 97 prod = (1./32768./65526.)*val*i; 99 prod = val*i; 101 if (fabs(prod-1) > .00025) 103 fprintf (stderr, "div failed: 1/%d="WORD" (product = %f)\n", i, val, prod);
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/external/webrtc/webrtc/modules/audio_coding/codecs/isac/main/source/ |
H A D | filter_functions.c | 100 double sum, prod; local 107 prod = x[0] * x_lag[0]; 109 sum += prod; 110 prod = x[n] * x_lag[n]; 112 sum += prod;
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