#include <softmax.hpp>
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| softmax_op () |
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template<std::size_t size> |
Eigen::VectorXd | operator() (const std::array< bool, size > &needs_adj, const Eigen::VectorXd &alpha) |
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template<std::size_t size> |
std::tuple< Eigen::VectorXd > | multiply_adjoint_jacobian (const std::array< bool, size > &needs_adj, const Eigen::VectorXd &adj) const |
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Definition at line 15 of file softmax.hpp.
◆ softmax_op()
stan::math::internal::softmax_op::softmax_op |
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◆ multiply_adjoint_jacobian()
template<std::size_t size>
std::tuple<Eigen::VectorXd> stan::math::internal::softmax_op::multiply_adjoint_jacobian |
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const std::array< bool, size > & |
needs_adj, |
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const Eigen::VectorXd & |
adj |
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inline |
◆ operator()()
template<std::size_t size>
Eigen::VectorXd stan::math::internal::softmax_op::operator() |
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const std::array< bool, size > & |
needs_adj, |
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const Eigen::VectorXd & |
alpha |
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inline |
The documentation for this class was generated from the following file: