| /external/eigen/unsupported/Eigen/src/SpecialFunctions/ |
| SpecialFunctionsArrayAPI.h | 56 /** \cpp11 \returns an expression of the coefficient-wise polygamma(\a n, \a x) to the given arrays.
61 * or float/double in non c++11 mode, the user has to provide implementations of polygamma(T,T) for any scalar
66 // * \warning Be careful with the order of the parameters: x.polygamma(n) is equivalent to polygamma(n,x)
67 // * \sa ArrayBase::polygamma()
70 polygamma(const Eigen::ArrayBase<DerivedN>& n, const Eigen::ArrayBase<DerivedX>& x) function in namespace:Eigen
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| SpecialFunctionsHalf.h | 24 template<> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half polygamma(const Eigen::half& n, const Eigen::half& x) { function in namespace:Eigen::numext
25 return Eigen::half(Eigen::numext::polygamma(static_cast<float>(n), static_cast<float>(x)));
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| SpecialFunctionsImpl.h | 958 * the polygamma function.
993 * Implementation of polygamma function, requires C++11/C99 *
1526 polygamma(const Scalar& n, const Scalar& x) { function in namespace:Eigen::numext
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| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| TensorBase.h | 157 // polygamma(n = this, x = other)
160 polygamma(const OtherDerived& other) const { function in class:Eigen::TensorBase
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| /external/tensorflow/tensorflow/contrib/labeled_tensor/ |
| __init__.py | 101 polygamma = _core.polygamma variable
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| /external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
| core.py | 1200 polygamma = define_binary_op('polygamma', math_ops.polygamma) variable
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| /external/tensorflow/tensorflow/core/kernels/ |
| cwise_ops.h | 795 struct polygamma : base<T, Eigen::internal::scalar_polygamma_op<T>> {}; struct in namespace:tensorflow::functor
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