/external/tensorflow/tensorflow/compiler/xla/ |
H A D | index_util.cc | 168 tensorflow::gtl::ArraySlice<int64> rhs) { 170 CHECK_EQ(rhs.size(), rank); 172 if (lhs[dim] < rhs[dim]) { 174 } else if (lhs[dim] > rhs[dim]) { 166 CompareIndices( tensorflow::gtl::ArraySlice<int64> lhs, tensorflow::gtl::ArraySlice<int64> rhs) argument
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
H A D | runtime_conv2d.cc | 28 const void* run_options_ptr, float* out, float* lhs, float* rhs, 38 *run_options->intra_op_thread_pool(), out, lhs, rhs, input_batch, 47 Eigen::half* rhs, int64 input_batch, int64 input_rows, int64 input_cols, 57 *run_options->intra_op_thread_pool(), out, lhs, rhs, input_batch, 27 __xla_cpu_runtime_EigenConvF32( const void* run_options_ptr, float* out, float* lhs, float* rhs, int64 input_batch, int64 input_rows, int64 input_cols, int64 input_channels, int64 kernel_rows, int64 kernel_cols, int64 kernel_channels, int64 kernel_filters, int64 output_rows, int64 output_cols, int64 row_stride, int64 col_stride, int64 padding_top, int64 padding_bottom, int64 padding_left, int64 padding_right, int64 lhs_row_dilation, int64 lhs_col_dilation, int64 rhs_row_dilation, int64 rhs_col_dilation) argument 45 __xla_cpu_runtime_EigenConvF16( const void* run_options_ptr, Eigen::half* out, Eigen::half* lhs, Eigen::half* rhs, int64 input_batch, int64 input_rows, int64 input_cols, int64 input_channels, int64 kernel_rows, int64 kernel_cols, int64 kernel_channels, int64 kernel_filters, int64 output_rows, int64 output_cols, int64 row_stride, int64 col_stride, int64 padding_top, int64 padding_bottom, int64 padding_left, int64 padding_right, int64 lhs_row_dilation, int64 lhs_col_dilation, int64 rhs_row_dilation, int64 rhs_col_dilation) argument
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H A D | runtime_matmul.cc | 31 void MatMul(const void* run_options_ptr, T* out, T* lhs, T* rhs, int64 m, argument 51 rhs, rhs_rows, rhs_cols); 62 // 0 of the rhs. 69 float* lhs, float* rhs, int64 m, int64 n, 74 xla::EigenMatVecF32(out, lhs, rhs, m, n, k, transpose_lhs, transpose_rhs); 76 MatMul<float>(run_options_ptr, out, lhs, rhs, m, n, k, transpose_lhs, 82 double* lhs, double* rhs, int64 m, 87 xla::EigenMatVecF64(out, lhs, rhs, m, n, k, transpose_lhs, transpose_rhs); 89 MatMul<double>(run_options_ptr, out, lhs, rhs, m, n, k, transpose_lhs, 68 __xla_cpu_runtime_EigenMatMulF32(const void* run_options_ptr, float* out, float* lhs, float* rhs, int64 m, int64 n, int64 k, int32 transpose_lhs, int32 transpose_rhs) argument 81 __xla_cpu_runtime_EigenMatMulF64(const void* run_options_ptr, double* out, double* lhs, double* rhs, int64 m, int64 n, int64 k, int32 transpose_lhs, int32 transpose_rhs) argument
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H A D | runtime_matvec.cc | 61 void DispatchMatVec(T* out, T* lhs, T* rhs, int64 m, int64 n, int64 k, argument 81 vec = rhs; 85 mat = rhs; 98 void EigenMatVecF32(float* out, float* lhs, float* rhs, int64 m, int64 n, argument 101 DispatchMatVec<float>(out, lhs, rhs, m, n, k, transpose_lhs, transpose_rhs); 104 void EigenMatVecF64(double* out, double* lhs, double* rhs, int64 m, int64 n, argument 107 DispatchMatVec<double>(out, lhs, rhs, m, n, k, transpose_lhs, transpose_rhs);
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H A D | runtime_single_threaded_conv2d.cc | 27 Eigen::half* rhs, int64 input_batch, int64 input_rows, int64 input_cols, 35 Eigen::DefaultDevice(), out, lhs, rhs, input_batch, input_rows, local 44 const void* run_options_ptr, float* out, float* lhs, float* rhs, 52 Eigen::DefaultDevice(), out, lhs, rhs, input_batch, input_rows, local 25 __xla_cpu_runtime_EigenSingleThreadedConvF16( const void* run_options_ptr, Eigen::half* out, Eigen::half* lhs, Eigen::half* rhs, int64 input_batch, int64 input_rows, int64 input_cols, int64 input_channels, int64 kernel_rows, int64 kernel_cols, int64 kernel_channels, int64 kernel_filters, int64 output_rows, int64 output_cols, int64 row_stride, int64 col_stride, int64 padding_top, int64 padding_bottom, int64 padding_left, int64 padding_right, int64 lhs_row_dilation, int64 lhs_col_dilation, int64 rhs_row_dilation, int64 rhs_col_dilation) argument 43 __xla_cpu_runtime_EigenSingleThreadedConvF32( const void* run_options_ptr, float* out, float* lhs, float* rhs, int64 input_batch, int64 input_rows, int64 input_cols, int64 input_channels, int64 kernel_rows, int64 kernel_cols, int64 kernel_channels, int64 kernel_filters, int64 output_rows, int64 output_cols, int64 row_stride, int64 col_stride, int64 padding_top, int64 padding_bottom, int64 padding_left, int64 padding_right, int64 lhs_row_dilation, int64 lhs_col_dilation, int64 rhs_row_dilation, int64 rhs_col_dilation) argument
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
H A D | unary_op_test.cc | 221 auto rhs = builder.ConstantR1<int32>({1, 1}); local 222 builder.ConvertElementType(builder.Eq(lhs, rhs), S32); 230 auto rhs = builder.ConstantR1<int32>({1, 1}); local 231 builder.ConvertElementType(builder.Eq(lhs, rhs), F32);
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/external/tensorflow/tensorflow/core/lib/gtl/ |
H A D | top_n_test.cc | 233 bool operator()(int lhs, int rhs) const { 234 LOG(FATAL) << "ForbiddenCmp called " << lhs << " " << rhs; local
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/external/tensorflow/tensorflow/core/util/ |
H A D | permutation_input_iterator.h | 117 __host__ __device__ __forceinline__ bool operator==(const self_type& rhs) { argument 118 return (index_itr == rhs.index_itr && input_itr == rhs.input_itr); 122 __host__ __device__ __forceinline__ bool operator!=(const self_type& rhs) { argument 123 return !(*this == rhs);
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/external/v4l2_codec2/vda/ |
H A D | rect.h | 82 inline bool operator==(const Rect& lhs, const Rect& rhs) { argument 83 return lhs.x() == rhs.x() && lhs.y() == rhs.y() && lhs.size() == rhs.size(); 86 inline bool operator!=(const Rect& lhs, const Rect& rhs) { argument 87 return !(lhs == rhs);
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/external/v8/src/base/ |
H A D | safe_math.h | 56 CheckedNumeric(const CheckedNumeric<Src>& rhs) argument 57 : state_(rhs.ValueUnsafe(), rhs.validity()) {} 117 template <typename Src> CheckedNumeric& operator+=(Src rhs); 118 template <typename Src> CheckedNumeric& operator-=(Src rhs); 119 template <typename Src> CheckedNumeric& operator*=(Src rhs); 120 template <typename Src> CheckedNumeric& operator/=(Src rhs); 121 template <typename Src> CheckedNumeric& operator%=(Src rhs); 202 const CheckedNumeric<T>& lhs, const CheckedNumeric<T>& rhs) { \ 206 return CheckedNumeric<T>(lhs.ValueUnsafe() OP rhs [all...] |
/external/v8/src/compiler/ |
H A D | machine-operator-reducer.h | 44 Node* Float64Mul(Node* lhs, Node* rhs); 46 Node* Word32And(Node* lhs, Node* rhs); 47 Node* Word32And(Node* lhs, uint32_t rhs) { argument 48 return Word32And(lhs, Uint32Constant(rhs)); 50 Node* Word32Sar(Node* lhs, uint32_t rhs); 51 Node* Word32Shr(Node* lhs, uint32_t rhs); 52 Node* Word32Equal(Node* lhs, Node* rhs); 53 Node* Int32Add(Node* lhs, Node* rhs); 54 Node* Int32Sub(Node* lhs, Node* rhs); 55 Node* Int32Mul(Node* lhs, Node* rhs); [all...] |
/external/webrtc/webrtc/system_wrappers/include/ |
H A D | tick_util.h | 65 // Returns a TickInterval that is the difference in ticks beween rhs and lhs. 66 friend TickInterval operator-(const TickTime& lhs, const TickTime& rhs); 85 const TickInterval& rhs); 86 TickInterval& operator+=(const TickInterval& rhs); 88 // Returns a TickInterval corresponding to rhs - lhs. 90 const TickInterval& rhs); 91 TickInterval& operator-=(const TickInterval& rhs); 93 friend bool operator>(const TickInterval& lhs, const TickInterval& rhs); 94 friend bool operator<=(const TickInterval& lhs, const TickInterval& rhs); 95 friend bool operator<(const TickInterval& lhs, const TickInterval& rhs); 114 operator +(const TickInterval& lhs, const TickInterval& rhs) argument 119 operator -(const TickInterval& lhs, const TickInterval& rhs) argument 124 operator -(const TickTime& lhs, const TickTime& rhs) argument 134 operator >(const TickInterval& lhs, const TickInterval& rhs) argument 138 operator <=(const TickInterval& lhs, const TickInterval& rhs) argument 142 operator <(const TickInterval& lhs, const TickInterval& rhs) argument 146 operator >=(const TickInterval& lhs, const TickInterval& rhs) argument 178 operator +=(const TickInterval& rhs) argument 183 operator -=(const TickInterval& rhs) argument [all...] |
/external/Microsoft-GSL/tests/ |
H A D | notnull_tests.cpp | 57 std::string operator==(CustomPtr<T> const& lhs, CustomPtr<U> const& rhs) argument 59 return reinterpret_cast<const void*>(lhs.p_) == reinterpret_cast<const void*>(rhs.p_) ? "true" 64 std::string operator!=(CustomPtr<T> const& lhs, CustomPtr<U> const& rhs) argument 66 return reinterpret_cast<const void*>(lhs.p_) != reinterpret_cast<const void*>(rhs.p_) ? "true" 71 std::string operator<(CustomPtr<T> const& lhs, CustomPtr<U> const& rhs) argument 73 return reinterpret_cast<const void*>(lhs.p_) < reinterpret_cast<const void*>(rhs.p_) ? "true" 78 std::string operator>(CustomPtr<T> const& lhs, CustomPtr<U> const& rhs) argument 80 return reinterpret_cast<const void*>(lhs.p_) > reinterpret_cast<const void*>(rhs.p_) ? "true" 85 std::string operator<=(CustomPtr<T> const& lhs, CustomPtr<U> const& rhs) argument 87 return reinterpret_cast<const void*>(lhs.p_) <= reinterpret_cast<const void*>(rhs 92 operator >=(CustomPtr<T> const& lhs, CustomPtr<U> const& rhs) argument [all...] |
/external/androidplot/AndroidPlot-Core/src/main/java/com/androidplot/util/ |
H A D | PixelUtils.java | 52 public static PointF add(PointF lhs, PointF rhs) {
argument 53 return new PointF(lhs.x + rhs.x, lhs.y + rhs.y);
56 public static PointF sub(PointF lhs, PointF rhs) {
argument 57 return new PointF(lhs.x - rhs.x, lhs.y - rhs.y);
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/external/boringssl/include/openssl/ |
H A D | span.h | 42 friend bool operator==(Span<T> lhs, Span<T> rhs) { argument 47 if (lhs.size() != rhs.size()) { 50 for (T *l = lhs.begin(), *r = rhs.begin(); l != lhs.end() && r != rhs.end(); 59 friend bool operator!=(Span<T> lhs, Span<T> rhs) { return !(lhs == rhs); } argument
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/external/boringssl/src/include/openssl/ |
H A D | span.h | 42 friend bool operator==(Span<T> lhs, Span<T> rhs) { argument 47 if (lhs.size() != rhs.size()) { 50 for (T *l = lhs.begin(), *r = rhs.begin(); l != lhs.end() && r != rhs.end(); 59 friend bool operator!=(Span<T> lhs, Span<T> rhs) { return !(lhs == rhs); } argument
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/external/clang/test/SemaCXX/ |
H A D | warn-unused-value.cpp | 27 bool operator==(const Foo& rhs) { argument 28 return i == rhs.i;
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/external/dng_sdk/source/ |
H A D | dng_hue_sat_map.cpp | 58 dng_hue_sat_map &dng_hue_sat_map::operator= (const dng_hue_sat_map &rhs) argument 61 if (this != &rhs) 64 if (!rhs.IsValid ()) 74 fHueDivisions = rhs.fHueDivisions; 75 fSatDivisions = rhs.fSatDivisions; 76 fValDivisions = rhs.fValDivisions; 78 fHueStep = rhs.fHueStep; 79 fValStep = rhs.fValStep; 81 fDeltas = rhs.fDeltas; 242 bool dng_hue_sat_map::operator== (const dng_hue_sat_map &rhs) cons [all...] |
/external/eigen/Eigen/src/Core/ |
H A D | CwiseBinaryOp.h | 135 const _RhsNested& rhs() const { return m_rhs; } function in class:Eigen::CwiseBinaryOp
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H A D | Solve.h | 68 Solve(const Decomposition &dec, const RhsType &rhs) argument 69 : m_dec(dec), m_rhs(rhs) 76 EIGEN_DEVICE_FUNC const RhsType& rhs() const { return m_rhs; } function in class:Eigen::Solve 127 solve.dec()._solve_impl(solve.rhs(), m_result); 134 // Specialization for "dst = dec.solve(rhs)" 147 src.dec()._solve_impl(src.rhs(), dst); 151 // Specialization for "dst = dec.transpose().solve(rhs)" 163 src.dec().nestedExpression().template _solve_impl_transposed<false>(src.rhs(), dst); 167 // Specialization for "dst = dec.adjoint().solve(rhs)" 180 src.dec().nestedExpression().nestedExpression().template _solve_impl_transposed<true>(src.rhs(), ds [all...] |
/external/eigen/Eigen/src/Geometry/arch/ |
H A D | Geometry_SSE.h | 68 run(const VectorLhs& lhs, const VectorRhs& rhs) argument 71 __m128 b = rhs.template packet<traits<VectorRhs>::Alignment>(0);
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/external/eigen/Eigen/src/IterativeLinearSolvers/ |
H A D | SolveWithGuess.h | 49 SolveWithGuess(const Decomposition &dec, const RhsType &rhs, const GuessType &guess) argument 50 : m_dec(dec), m_rhs(rhs), m_guess(guess) 57 EIGEN_DEVICE_FUNC const RhsType& rhs() const { return m_rhs; } function in class:Eigen::SolveWithGuess 86 solve.dec()._solve_with_guess_impl(solve.rhs(), m_result); 93 // Specialization for "dst = dec.solveWithGuess(rhs)" 107 src.dec()._solve_with_guess_impl(src.rhs(), dst/*, src.guess()*/);
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/external/eigen/Eigen/src/SparseCore/ |
H A D | ConservativeSparseSparseProduct.h | 18 static void conservative_sparse_sparse_product_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res, bool sortedInsertion = false) argument 24 Index cols = rhs.outerSize(); 25 eigen_assert(lhs.outerSize() == rhs.innerSize()); 34 evaluator<Rhs> rhsEval(rhs); 37 // given a rhs column containing Y non zeros, we assume that the respective Y columns 39 // the product of a rhs column with the lhs is X+Y where X is the average number of non zero 41 // Therefore, we have nnz(lhs*rhs) = nnz(lhs) + nnz(rhs) 137 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 146 if(lhs.rows()>rhs 167 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 180 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 193 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 208 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 220 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 233 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 246 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 264 sparse_sparse_to_dense_product_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 302 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 311 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 322 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument 333 run(const Lhs& lhs, const Rhs& rhs, ResultType& res) argument [all...] |
H A D | SparseProduct.h | 41 static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs) argument 43 evalTo(dst, lhs, rhs, typename evaluator_traits<Dest>::Shape()); 48 static void addTo(Dest& dst, const ActualLhs& lhs, const Rhs& rhs, typename enable_if<is_same<typename evaluator_traits<Dest>::Shape,DenseShape>::value,int*>::type* = 0) argument 53 RhsNested rhsNested(rhs); 60 static void subTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, typename enable_if<is_same<typename evaluator_traits<Dest>::Shape,DenseShape>::value,int*>::type* = 0) argument 62 addTo(dst, -lhs, rhs); 69 static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, SparseShape) argument 74 RhsNested rhsNested(rhs); 81 static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, DenseShape) argument 84 addTo(dst, lhs, rhs); [all...] |
H A D | SparseTriangularView.h | 52 EIGEN_STRONG_INLINE void _solve_impl(const RhsType &rhs, DstType &dst) const { argument 53 if(!(internal::is_same<RhsType,DstType>::value && internal::extract_data(dst) == internal::extract_data(rhs))) 54 dst = rhs;
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