Class: Torch::NN::RNN

Inherits:
RNNBase show all
Defined in:
lib/torch/nn/rnn.rb

Instance Attribute Summary

Attributes inherited from Module

#training

Instance Method Summary collapse

Methods inherited from RNNBase

#_apply, #extra_inspect, #flatten_parameters, #forward, #permute_hidden, #reset_parameters

Methods inherited from Module

#_apply, #add_module, #apply, #buffers, #call, #children, #cpu, #cuda, #deep_dup, #double, #eval, #float, #forward, #half, #inspect, #load_state_dict, #method_missing, #modules, #named_buffers, #named_children, #named_modules, #named_parameters, #parameters, #register_buffer, #register_parameter, #requires_grad!, #respond_to?, #share_memory, #state_dict, #to, #train, #type, #zero_grad

Methods included from Utils

#_activation_fn, #_clones, #_ntuple, #_pair, #_quadrupal, #_single, #_triple

Constructor Details

#initialize(*args, **options) ⇒ RNN

Returns a new instance of RNN.



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# File 'lib/torch/nn/rnn.rb', line 4

def initialize(*args, **options)
  if options.key?(:nonlinearity)
    if options[:nonlinearity] == "tanh"
      mode = "RNN_TANH"
    elsif options[:nonlinearity] == "relu"
      mode = "RNN_RELU"
    else
      raise ArgumentError, "Unknown nonlinearity: #{options[:nonlinearity]}"
    end
    options.delete(:nonlinearity)
  else
    mode = "RNN_TANH"
  end

  super(mode, *args, **options)
end

Dynamic Method Handling

This class handles dynamic methods through the method_missing method in the class Torch::NN::Module