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input Class — pytorch Architecture

Architecture documentation for the input class in RNN.cpp from the pytorch codebase.

Entity Profile

Source Code

aten/src/ATen/native/RNN.cpp lines 722–733

template<typename nonlinearity, typename cell_params>
struct SimpleCell : Cell<Tensor, cell_params> {
  using hidden_type = Tensor;
  Tensor operator()(
      const Tensor& input,
      const Tensor& hidden,
      const cell_params& params,
      bool pre_compute_input = false) const override {
    return nonlinearity{}(params.linear_hh(hidden).add_(
        pre_compute_input ? input : params.linear_ih(input)));
  }
};

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