Template Function at::symint::_cudnn_rnn_out(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, const at::Tensor&, at::TensorList, int64_t, const ::std::optional<at::Tensor>&, const at::Tensor&, const ::std::optional<at::Tensor>&, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor>&)¶

Function Documentation¶

template<typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>> ::std::tuple<at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&> at::symint::_cudnn_rnn_out(at::Tensor &out0, at::Tensor &out1, at::Tensor &out2, at::Tensor &out3, at::Tensor &out4, const at::Tensor &input, at::TensorList weight, int64_t weight_stride0, const ::std::optional<at::Tensor> &weight_buf, const at::Tensor &hx, const ::std::optional<at::Tensor> &cx, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const ::std::optional<at::Tensor> &dropout_state)¶