Shortcuts

Function at::miopen_rnn_backward

Function Documentation

inline ::std::tuple<at::Tensor, at::Tensor, at::Tensor, ::std::vector<at::Tensor>> at::miopen_rnn_backward(const at::Tensor &input, at::TensorList weight, int64_t weight_stride0, const at::Tensor &weight_buf, const at::Tensor &hx, const c10::optional<at::Tensor> &cx, const at::Tensor &output, const c10::optional<at::Tensor> &grad_output, const c10::optional<at::Tensor> &grad_hy, const c10::optional<at::Tensor> &grad_cy, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> &dropout_state, const at::Tensor &reserve, ::std::array<bool, 4> output_mask)

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources