| /external/eigen/unsupported/test/ |
| cxx11_tensor_reduction_sycl.cpp | 67 Tensor<float, 2> redux(reduced_tensorRange);
72 redux= in.sum(red_axis);
87 VERIFY_IS_APPROX(redux_gpu(j,k), redux(j,k));
105 Tensor<float, 2> redux(reduced_tensorRange);
110 redux= in.sum(red_axis);
124 VERIFY_IS_APPROX(redux_gpu(j,k), redux(j,k));
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| /bionic/libm/upstream-freebsd/lib/msun/src/ |
| s_exp2f.c | 41 redux = 0x1.8p23f / TBLSIZE, variable
123 STRICT_ASSIGN(float, t, x + redux);
128 t -= redux;
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| s_exp2.c | 41 redux = 0x1.8p52 / TBLSIZE, variable
370 STRICT_ASSIGN(double, t, x + redux);
375 t -= redux;
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| /external/eigen/Eigen/src/Core/ |
| Redux.h | 401 /** \returns the result of a full redux operation on the whole matrix or vector using \a func
411 DenseBase<Derived>::redux(const Func& func) const function in class:Eigen::DenseBase
428 return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar>());
438 return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
453 return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
468 return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
487 return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
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| StableNorm.h | 216 return this->cwiseAbs().redux(internal::scalar_hypot_op<RealScalar>());
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| VectorwiseOp.h | 21 * \tparam MatrixType the type of the matrix we are applying the redux operation
23 * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal)
25 * This class represents an expression of a partial redux operator of a matrix.
134 { return mat.redux(m_functor); }
145 * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal)
264 * of the custom redux operator. Note that func must be an associative operator.
271 redux(const BinaryOp& func = BinaryOp()) const function in class:Eigen::VectorwiseOp
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| DenseBase.h | 460 Scalar redux(const BinaryOp& func) const;
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| /external/wpa_supplicant_8/src/tls/ |
| libtommath.c | [all...] |
| /bionic/libm/upstream-freebsd/lib/msun/ld128/ |
| s_exp2l.c | 61 redux = 0x1.8p112 / TBLSIZE; variable
386 * Reduce x, computing z, i0, and k. The low bits of x + redux
392 * Then the low-order word of x + redux is 0x000abc12,
399 u.e = x + redux;
403 u.e -= redux;
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| /external/eigen/Eigen/src/Geometry/ |
| Homogeneous.h | 106 redux(const Func& func) const function in class:Eigen::Homogeneous
108 return func(m_matrix.redux(func), Scalar(1));
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| /external/tensorflow/tensorflow/core/kernels/ |
| bias_op.cc | 293 redux; variable
297 redux(context->eigen_device<Device>(), two_dims, output_backprop,
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| /external/eigen/test/ |
| array_for_matrix.cpp | 48 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar,Scalar>()));
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| array.cpp | 76 VERIFY_IS_APPROX(m1.colwise().sum(), m1.colwise().redux(internal::scalar_sum_op<Scalar,Scalar>()));
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