X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=dagnn.git;a=blobdiff_plain;f=dagnn.lua;h=de9d29b8d3e15c2d0575144f29ee0e1ed1a881de;hp=ca51841f8442417d10097e6a6939fd86f3bceda2;hb=56a476ee19396d0e7f186b238dc7d013000acb59;hpb=39ba70f10f81274998bc6786747a33e00b313fb4 diff --git a/dagnn.lua b/dagnn.lua index ca51841..de9d29b 100755 --- a/dagnn.lua +++ b/dagnn.lua @@ -86,20 +86,20 @@ function DAG:putInOrder() for i, a in ipairs(self.sorted) do self.sorted[i] = a.nnm end end -function DAG:computeGradOutput(gradInputSucc) - local gi +function DAG:updateGradOutput(node) + local gradInputSucc = node.gradInputSucc if #gradInputSucc == 1 then - gi = gradInputSucc[1] -- we avoid a clone() + node.gradOutput = gradInputSucc[1] elseif #gradInputSucc > 1 then - for k = 1, #gradInputSucc do - if gi then - gi:add(gradInputSucc[k]) - else - gi = gradInputSucc[k]:clone() - end + if node.gradOutput then + node.gradOutput:resize(gradInputSucc[1]):copy(gradInputSucc[1]) + else + node.gradOutput = gradInputSucc[1]:clone() + end + for k = 2, #gradInputSucc do + node.gradOutput:add(gradInputSucc[k]) end end - return gi end ---------------------------------------------------------------------- @@ -167,20 +167,26 @@ function DAG:saveDot(filename) file:write('\n') - for nnma, node in pairs(self.node) do + for nnmb, node in pairs(self.node) do file:write( ' ' .. node.index - .. ' [shape=box,label=\"' .. torch.type(nnma) .. '\"]' + .. ' [shape=box,label=\"' .. torch.type(nnmb) .. '\"]' .. '\n' ) - for _, nnmb in pairs(node.succ) do + for i, nnma in pairs(node.pred) do + local decoration = '' + if #node.pred > 1 then + -- decoration = ' [headlabel=\"' .. i .. '\"]' + decoration = ' [label=\"' .. i .. '\"]' + end file:write( ' ' - .. node.index + .. self.node[nnma].index .. ' -> ' .. self.node[nnmb].index + .. decoration .. '\n' ) end @@ -200,7 +206,6 @@ function DAG:updateOutput(input) self:nestedApply( function(nnm, i) self.node[nnm].input = i - -- nnm:updateOutput(i) self:rethrowErrors(nnm, self.node[nnm].index, 'updateOutput', i) end, self.inputModules, @@ -220,7 +225,6 @@ function DAG:updateOutput(input) end end node.input = i - -- nnm:updateOutput(i) self:rethrowErrors(nnm, self.node[nnm].index, 'updateOutput', i) end end @@ -234,12 +238,13 @@ function DAG:updateOutput(input) end function DAG:updateGradInput(input, gradOutput) - assert(self.sorted, 'there has been a DAG structure change before a DAG:updateGradInput') + assert(self.sorted, 'There has been a DAG structure change before a DAG:updateGradInput') self:nestedApply( function(nnm, go) - -- nnm:updateGradInput(self.node[nnm].input, go) - self:rethrowErrors(nnm, self.node[nnm].index, 'updateGradInput', self.node[nnm].input, go) + local node = self.node[nnm] + node.gradOutput = go + self:rethrowErrors(nnm, node.index, 'updateGradInput', self.node[nnm].input, go) end, self.outputModules, gradOutput ) @@ -256,11 +261,10 @@ function DAG:updateGradInput(input, gradOutput) for k = #self.sorted, 1, -1 do local nnm = self.sorted[k] local node = self.node[nnm] - local pred, gradInputSucc = node.pred, node.gradInputSucc + local pred = node.pred - if #gradInputSucc > 0 then - node.gradOutput = self:computeGradOutput(gradInputSucc) - -- nnm:updateGradInput(node.input, node.gradOutput) + if #node.gradInputSucc > 0 then + self:updateGradOutput(node) self:rethrowErrors(nnm, self.node[nnm].index, 'updateGradInput', node.input, node.gradOutput) end @@ -285,12 +289,21 @@ end function DAG:accGradParameters(input, gradOutput, scale) scale = scale or 1 - assert(self.sorted, 'there has been a DAG structure change before a DAG:accGradParameters') + assert(self.sorted, 'There has been a DAG structure change before a DAG:accGradParameters') + + self:nestedApply( + function(nnm, go) self.node[nnm].gradOutput = go end, + self.outputModules, gradOutput + ) + + self:nestedApply( + function(nnm, i) self.node[nnm].input = i end, + self.inputModules, input + ) for k = 1, #self.modules do local nnm = self.modules[k] local node = self.node[nnm] - -- nnm:accGradParameters(node.input, node.gradOutput, scale) - self:rethrowErrors(nnm, k, 'accGradParameters', node.input, self:computeGradOutput(node.gradInputSucc), scale) + self:rethrowErrors(nnm, k, 'accGradParameters', node.input, node.gradOutput, scale) end end