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Concat.lua
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Concat.lua
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local Concat, parent = torch.class('nn.Concat', 'nn.Container')
function Concat:__init(dimension)
parent.__init(self)
self.outputSize = torch.LongStorage()
self.dimension = dimension
self:setEngine(0)
end
function Concat:updateOutput(input)
self.outputSize = self.outputSize or torch.LongStorage()
if self.initStep == 0 then
self.initStep = 1
self.dnnPrimitives = torch.LongTensor(20)
else
self.mkldnnInitOk = 1
end
local iterStartTime
local iterForward
local forwardTime = 0
local outs = {}
for i=1,#self.modules do
local currentOutput = self:rethrowErrors(self.modules[i], i, 'updateOutput', input)
outs[i] = currentOutput
if self.timerEnable then
iterStartTime = sys.clock()
end
--self:ConvertLayoutBackToNCHW(currentOutput, i)
if i == 1 then
self.outputSize:resize(currentOutput:dim()):copy(currentOutput:size())
else
self.outputSize[self.dimension] = self.outputSize[self.dimension] + currentOutput:size(self.dimension)
end
if self.timerEnable then
iterForward = sys.clock() - iterStartTime
forwardTime = forwardTime + iterForward
end
end
if self.timerEnable then
iterStartTime = sys.clock()
end
self.output:resize(self.outputSize)
local offset = 1
for i,module in ipairs(self.modules) do
local currentOutput = outs[i]
self.output:narrow(self.dimension, offset, currentOutput:size(self.dimension)):copy(currentOutput)
offset = offset + currentOutput:size(self.dimension)
end
if self.timerEnable then
iterForward = sys.clock() - iterStartTime
forwardTime = forwardTime + iterForward
print("Concat forward time = ,",self.timeForward," backward time =",self.timeBackward1+self.timeBackward2)
sys.concatTime_forward = sys.concatTime_forward +self.timeForward
sys.concatTime_backward = sys.concatTime_backward + (self.timeBackward1+ self.timeBackward2)
self.timeForward = forwardTime
self.cnt = self.cnt + 1
end
return self.output
end
function Concat:updateGradInput(input, gradOutput)
local iterStartTime
local iterBackward
local backwardTime = 0
local offset = 1
iterStartTime = sys.clock()
self.gradInput:resizeAs(input)
if self.timerEnable then
iterBackward = sys.clock() - iterStartTime
backwardTime = backwardTime+ iterBackward
end
for i,module in ipairs(self.modules) do
if self.timerEnable then
iterStartTime = sys.clock()
end
local currentOutput = module.output
local gradOutputPart = gradOutput:narrow(self.dimension, offset, currentOutput:size(self.dimension))
if self.timerEnable then
iterBackward = sys.clock() - iterStartTime
backwardTime = backwardTime+ iterBackward
end
local currentGradInput = self:rethrowErrors(module, i, 'updateGradInput', input, gradOutputPart)
if self.timerEnable then
iterStartTime = sys.clock()
end
if currentGradInput then -- if the module does not produce a gradInput (for example first layer), then ignore it and move on.
if i==1 then
self.gradInput:copy(currentGradInput)
self.gradInput:cdata().mkldnnLayout = currentGradInput:cdata().mkldnnLayout
else
self.gradInput:add(currentGradInput)
end
end
offset = offset + currentOutput:size(self.dimension)
if self.timerEnable then
iterBackward = sys.clock() - iterStartTime
backwardTime = backwardTime+ iterBackward
end
end
if self.timerEnable then
self.timeBackward1 = backwardTime
end
return self.gradInput
end
function Concat:accGradParameters(input, gradOutput, scale)
--startTime = sys.clock()
local iterStartTime
local iterBackward
local backwardTime = 0
scale = scale or 1
local offset = 1
for i,module in ipairs(self.modules) do
if self.timerEnable then
iterStartTime = sys.clock()
end
local currentOutput = module.output
local gradOutputPart = gradOutput:narrow(self.dimension, offset, currentOutput:size(self.dimension))
if self.timerEnable then
iterBackward = sys.clock() - iterStartTime
backwardTime = backwardTime+ iterBackward
end
self:rethrowErrors(module, i, 'accGradParameters',
input,
gradOutputPart,
scale)
--[[
if self.timerEnable then
iterStartTime = sys.clock()
end]]
offset = offset + currentOutput:size(self.dimension)
--[[
if self.timerEnable then
iterBackward = sys.clock() - iterStartTime
backwardTime = backwardTime+ iterBackward
end]]
end
if self.timerEnable then
self.timeBackward2 = backwardTime
end
end
function Concat:backward(input, gradOutput, scale)
self.gradInput:resizeAs(input)
scale = scale or 1
local offset = 1
for i,module in ipairs(self.modules) do
local currentOutput = module.output
local currentGradInput = self:rethrowErrors(module, i, 'backward', input, gradOutput:narrow(self.dimension, offset, currentOutput:size(self.dimension)), scale)
if currentGradInput then -- if the module does not produce a gradInput (for example first layer), then ignore it and move on.
if i==1 then
self.gradInput:copy(currentGradInput)
self.gradInput:cdata().mkldnnLayout = currentGradInput:cdata().mkldnnLayout
else
self.gradInput:add(currentGradInput)
end
end
offset = offset + currentOutput:size(self.dimension)
end
return self.gradInput
end
function Concat:accUpdateGradParameters(input, gradOutput, lr)
print(" Concat:accUpdateGradParameters ")
local offset = 1
for i,module in ipairs(self.modules) do
local currentOutput = module.output
self:rethrowErrors(module, i, 'accUpdateGradParameters',
input,
gradOutput:narrow(self.dimension, offset, currentOutput:size(self.dimension)),
lr)
offset = offset + currentOutput:size(self.dimension)
end
end
function Concat:__tostring__()
local tab = ' '
local line = '\n'
local next = ' |`-> '
local ext = ' | '
local extlast = ' '
local last = ' ... -> '
local str = torch.type(self)
str = str .. ' {' .. line .. tab .. 'input'
for i=1,#self.modules do
if i == #self.modules then
str = str .. line .. tab .. next .. '(' .. i .. '): ' .. tostring(self.modules[i]):gsub(line, line .. tab .. extlast)
else
str = str .. line .. tab .. next .. '(' .. i .. '): ' .. tostring(self.modules[i]):gsub(line, line .. tab .. ext)
end
end
str = str .. line .. tab .. last .. 'output'
str = str .. line .. '}'
return str
end