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/external/eigen/unsupported/Eigen/src/SpecialFunctions/arch/CUDA/
DCudaSpecialFunctions.h66 using numext::polygamma;
67 …return make_float4(polygamma(n.x, x.x), polygamma(n.y, x.y), polygamma(n.z, x.z), polygamma(n.w, x…
73 using numext::polygamma;
74 return make_double2(polygamma(n.x, x.x), polygamma(n.y, x.y));
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_Polygamma.pbtxt3 summary: "Compute the polygamma function \\\\(\\psi^{(n)}(x)\\\\)."
5 The polygamma function is defined as:
11 The polygamma function is defined only for non-negative integer orders \\a\\.
/external/tensorflow/tensorflow/core/api_def/python_api/
Dapi_def_Polygamma.pbtxt4 name: "math.polygamma"
7 name: "polygamma"
/external/tensorflow/tensorflow/core/kernels/
Dcwise_op_zeta.cc20 REGISTER2(BinaryOp, CPU, "Polygamma", functor::polygamma, float, double);
24 REGISTER2(BinaryOp, GPU, "Polygamma", functor::polygamma, float, double);
Dcwise_op_gpu_zeta.cu.cc23 DEFINE_BINARY2(polygamma, float, double);
Dcwise_ops.h977 struct polygamma : base<T, Eigen::internal::scalar_polygamma_op<T>> {};
/external/eigen/unsupported/Eigen/src/SpecialFunctions/
DSpecialFunctionsPacketMath.h31 Packet ppolygamma(const Packet& n, const Packet& x) { using numext::polygamma; return polygamma(n, … in ppolygamma()
DSpecialFunctionsHalf.h24 template<> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half polygamma(const Eigen::half& n, const … in polygamma() function
25 return Eigen::half(Eigen::numext::polygamma(static_cast<float>(n), static_cast<float>(x))); in polygamma()
DSpecialFunctionsFunctors.h171 using numext::polygamma; return polygamma(n, x);
DSpecialFunctionsArrayAPI.h70 polygamma(const Eigen::ArrayBase<DerivedN>& n, const Eigen::ArrayBase<DerivedX>& x) in polygamma() function
DSpecialFunctionsImpl.h1525 EIGEN_DEVICE_FUNC inline EIGEN_MATHFUNC_RETVAL(polygamma, Scalar)
1526 polygamma(const Scalar& n, const Scalar& x) {
1527 return EIGEN_MATHFUNC_IMPL(polygamma, Scalar)::run(n, x);
/external/tensorflow/tensorflow/contrib/labeled_tensor/
D__init__.py101 polygamma = _core.polygamma variable
/external/eigen/unsupported/test/
Dspecial_functions.cpp170 CALL_SUBTEST( res = polygamma(n,x); verify_component_wise(res, ref); ); in array_special_functions()
174 CALL_SUBTEST( res = polygamma(n,x); verify_component_wise(res.head(8), ref.head(8)); ); in array_special_functions()
/external/eigen/unsupported/Eigen/
DSpecialFunctions34 * - polygamma
/external/tensorflow/tensorflow/python/kernel_tests/
Dcwise_ops_binary_test.py191 math_ops.polygamma):
194 if tf_func in (math_ops.zeta, math_ops.polygamma):
232 self._compareBoth(n_small, x_pos_small, special.polygamma,
233 math_ops.polygamma)
/external/eigen/Eigen/src/plugins/
DArrayCwiseBinaryOps.h305 polygamma(const EIGEN_CURRENT_STORAGE_BASE_CLASS<DerivedN> &n) const
/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/
Dcore.py1200 polygamma = define_binary_op('polygamma', math_ops.polygamma) variable
Dcore_test.py846 ('polygamma', None, math_ops.polygamma, core.polygamma),
/external/tensorflow/tensorflow/python/ops/parallel_for/
Dmath_test.py148 return math_ops.polygamma(
/external/tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/
Dmap_vectorization_test.py143 return math_ops.polygamma(
/external/eigen/doc/
DCoeffwiseMathFunctionsTable.dox485 \link Eigen::polygamma polygamma\endlink(n,x);
/external/tensorflow/tensorflow/python/ops/
Dmath_grad.py658 return grad * math_ops.polygamma(array_ops.constant(1, dtype=x.dtype), x)
777 partial_x = math_ops.polygamma(n + 1, x)
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.math.pbtxt284 name: "polygamma"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.math.pbtxt284 name: "polygamma"
/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DTensorBase.h160 polygamma(const OtherDerived& other) const { in polygamma() function

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