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local MapTable, parent = torch.class('nn.MapTable', 'nn.Container')
function MapTable:__init(module, shared)
parent.__init(self)
self.shared = (shared == nil) and true or shared
self.sharedparams = {'weight', 'bias', 'gradWeight', 'gradBias'}
self.output = {}
self.gradInput = {}
self:add(module)
end
function MapTable:_extend(n)
self.sharedparams = self.sharedparams or {'weight', 'bias', 'gradWeight', 'gradBias'}
self.modules[1] = self.module
for i = 2, n do
if not self.modules[i] then
if self.shared then
self.modules[i] = self.module:clone(table.unpack(self.sharedparams))
else
self.modules[i] = self.module:clone()
end
end
end
end
function MapTable:resize(n)
self:_extend(n)
for i = n + 1, #self.modules do
-- It's not clear why this clearState call is necessary, but it fixes
-- https://github.com/torch/nn/issues/1141 .
self.modules[i]:clearState()
self.modules[i] = nil
end
end
function MapTable:add(module)
assert(not self.module, 'Single module required')
self.module = module
self.modules[1] = self.module
return self
end
function MapTable:updateOutput(input)
self.output = {}
self:_extend(#input)
for i = 1, #input do
self.output[i] = self:rethrowErrors(self.modules[i], i, 'updateOutput', input[i])
end
return self.output
end
function MapTable:updateGradInput(input, gradOutput)
self.gradInput = {}
self:_extend(#input)
for i = 1, #input do
self.gradInput[i] = self:rethrowErrors(self.modules[i], i, 'updateGradInput', input[i], gradOutput[i])
end
return self.gradInput
end
function MapTable:accGradParameters(input, gradOutput, scale)
scale = scale or 1
self:_extend(#input)
for i = 1, #input do
self:rethrowErrors(self.modules[i], i, 'accGradParameters', input[i], gradOutput[i], scale)
end
end
function MapTable:accUpdateGradParameters(input, gradOutput, lr)
lr = lr or 1
self:_extend(#input)
for i = 1, #input do
self:rethrowErrors(self.modules[i], i, 'accUpdateGradParameters', input[i], gradOutput[i], lr)
end
end
function MapTable:zeroGradParameters()
if self.module then
if self.shared then
self.module:zeroGradParameters()
else
parent.zeroGradParameters(self)
end
end
end
function MapTable:updateParameters(learningRate)
if self.module then
if self.shared then
self.module:updateParameters(learningRate)
else
parent.updateParameters(self, learningRate)
end
end
end
function MapTable:clearState()
for i = 2, #self.modules do
-- It's not clear why this clearState call is necessary, but it fixes
-- https://github.com/torch/nn/issues/1141 .
self.modules[i]:clearState()
self.modules[i] = nil
end
parent.clearState(self)
end
function MapTable:__tostring__()
local tab = ' '
local line = '\n'
local extlast = ' '
local str = torch.type(self)
if self.module then
str = str .. ' {' .. line .. tab
str = str .. tostring(self.module):gsub(line, line .. tab .. extlast) .. line .. '}'
else
str = str .. ' { }'
end
return str
end
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