char-rnn-chinese/model/RNN.lua

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local RNN = {}
function RNN.rnn(input_size, rnn_size, n)
-- there are n+1 inputs (hiddens on each layer and x)
local inputs = {}
table.insert(inputs, nn.Identity()()) -- x
for L = 1,n do
table.insert(inputs, nn.Identity()()) -- prev_h[L]
end
local x, input_size_L
local outputs = {}
for L = 1,n do
local prev_h = inputs[L+1]
if L == 1 then x = inputs[1] else x = outputs[L-1] end
if L == 1 then input_size_L = input_size else input_size_L = rnn_size end
-- RNN tick
local i2h = nn.Linear(input_size_L, rnn_size)(x)
local h2h = nn.Linear(rnn_size, rnn_size)(prev_h)
local next_h = nn.Tanh()(nn.CAddTable(){i2h, h2h})
table.insert(outputs, next_h)
end
return nn.gModule(inputs, outputs)
end
return RNN