Struct RNNCellOptions

• Defined in File rnn.h

Struct Documentation

struct RNNCellOptions

Options for the RNNCell module.

Example:

RNNCell model(RNNCellOptions(20,
10).bias(false).nonlinearity(torch::kReLU));

Public Types

typedef std::variant<enumtype::kTanh, enumtype::kReLU> nonlinearity_t

Public Functions

RNNCellOptions(int64_t input_size, int64_t hidden_size)

inline auto input_size(const int64_t &new_input_size) -> decltype(*this)

The number of expected features in the input x

inline auto input_size(int64_t &&new_input_size) -> decltype(*this)

inline const int64_t &input_size() const noexcept

inline int64_t &input_size() noexcept

inline auto hidden_size(const int64_t &new_hidden_size) -> decltype(*this)

The number of features in the hidden state h

inline auto hidden_size(int64_t &&new_hidden_size) -> decltype(*this)

inline const int64_t &hidden_size() const noexcept

inline int64_t &hidden_size() noexcept

inline auto bias(const bool &new_bias) -> decltype(*this)

If false, then the layer does not use bias weights b_ih and b_hh.

Default: true

inline auto bias(bool &&new_bias) -> decltype(*this)

inline const bool &bias() const noexcept

inline bool &bias() noexcept

inline auto nonlinearity(const nonlinearity_t &new_nonlinearity) -> decltype(*this)

The non-linearity to use.

Can be either torch::kTanh or torch::kReLU. Default: torch::kTanh

inline auto nonlinearity(nonlinearity_t &&new_nonlinearity) -> decltype(*this)

inline const nonlinearity_t &nonlinearity() const noexcept

inline nonlinearity_t &nonlinearity() noexcept