init.lua

require 'dpnn'

-- create global rnn table:
rnn = {}

unpack = unpack or table.unpack

torch.include('rnn', 'recursiveUtils.lua')

-- extensions to nn.Module
torch.include('rnn', 'Module.lua')

-- for testing:
torch.include('rnn', 'test.lua')

-- support modules
torch.include('rnn', 'ZeroGrad.lua')
torch.include('rnn', 'LinearNoBias.lua')

-- recurrent modules
torch.include('rnn', 'LookupTableMaskZero.lua')
torch.include('rnn', 'MaskZero.lua')
torch.include('rnn', 'AbstractRecurrent.lua')
torch.include('rnn', 'Recurrent.lua')
torch.include('rnn', 'LSTM.lua')
torch.include('rnn', 'FastLSTM.lua')
torch.include('rnn', 'Recursor.lua')
torch.include('rnn', 'Recurrence.lua')

torch.include('rnn', 'AbstractSequencer.lua')
torch.include('rnn', 'Repeater.lua')
torch.include('rnn', 'Sequencer.lua')
torch.include('rnn', 'BiSequencer.lua')
torch.include('rnn', 'BiSequencerLM.lua')
torch.include('rnn', 'RecurrentAttention.lua')

-- recurrent criterions:
torch.include('rnn', 'RepeaterCriterion.lua')
torch.include('rnn', 'SequencerCriterion.lua')

-- prevent likely name conflicts
nn.rnn = rnn