Class GRUCellImpl#

Inheritance Relationships#

Class Documentation#

class GRUCellImpl : public torch::nn::detail::RNNCellImplBase<GRUCellImpl>#

A gated recurrent unit (GRU) cell.

See https://pytorch.org/docs/main/nn.html#torch.nn.GRUCell to learn about the exact behavior of this module.

See the documentation for torch::nn::GRUCellOptions class to learn what constructor arguments are supported for this module.

Example:

GRUCell model(GRUCellOptions(20, 10).bias(false));

Public Functions

inline GRUCellImpl(int64_t input_size, int64_t hidden_size)#

explicit GRUCellImpl(const GRUCellOptions &options_)#

Tensor forward(const Tensor &input, const Tensor &hx = {})#

Public Members

GRUCellOptions options#

Protected Functions

inline virtual bool _forward_has_default_args() override#

The following three functions allow a module with default arguments in its forward method to be used in a Sequential module.

You should NEVER override these functions manually. Instead, you should use the FORWARD_HAS_DEFAULT_ARGS macro.

inline virtual unsigned int _forward_num_required_args() override#

inline std::vector<torch::nn::AnyValue> _forward_populate_default_args(std::vector<torch::nn::AnyValue> &&arguments) override#

Friends

friend struct torch::nn::AnyModuleHolder