X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=profiler-torch.git;a=blobdiff_plain;f=profiler.lua;h=6f63861ea87df8d7d38501d83510bd3cf3e497ea;hp=58100e7ae3766fde5836cd8d18e525affc45c0f4;hb=c4b8d97c31f5e7dc948bf51ad6564d24e377801b;hpb=59733f475cf99a682c7b3368bffe7d2866c5b585 diff --git a/profiler.lua b/profiler.lua old mode 100755 new mode 100644 index 58100e7..6f63861 --- a/profiler.lua +++ b/profiler.lua @@ -46,23 +46,28 @@ function profiler.decor(model, functionsToDecorate) } for _, name in pairs(functionsToDecorate) do - model.accTime = 0 + model.accTime = {} local functionTable = model - if not rawget(functionTable, name) then - functionTable = getmetatable(model) + -- We decorate the function where it is defined in the class + -- hierarchy, so we have to go up the metatables until we find + -- it with rawget + + while functionTable and not rawget(functionTable, name) do + functionTable = getmetatable(functionTable) end - if functionTable[name] and not (functionTable.orig and functionTable.orig[name]) then + local nameOrig = name .. '__orig' + + if functionTable[name] and not functionTable[nameOrig] then print('Profiler decoring ' .. functionTable.__typename .. '.' .. name) - functionTable.orig = functionTable.orig or {} - functionTable.orig[name] = functionTable[name] + functionTable[nameOrig] = functionTable[name] functionTable[name] = function(self, ...) local startTime = sys.clock() - local result = { self.orig[name](self, unpack({...})) } + local result = { self[nameOrig](self, unpack({...})) } local endTime = sys.clock() - self.accTime = self.accTime + endTime - startTime + self.accTime[name] = (self.accTime[name] or 0) + endTime - startTime return unpack(result) end end @@ -77,20 +82,31 @@ function profiler.decor(model, functionsToDecorate) end -function profiler.print(model, nbSamples) - print('----------------------------------------------------------------------') - print(model) +function profiler.print(model, nbSamples, indent) + local indent = indent or '' + + print(string.format('%s* %s', indent, model.__typename)) + if nbSamples then - print(string.format('acc_time %.02fs (%.01fmus/sample)', - model.accTime, - 1e6 * model.accTime / nbSamples)) + for l, t in pairs(model.accTime) do + print(string.format('%s %s %.02fs (%.01fmus/sample)', + indent, + l, + t, + 1e6 * t / nbSamples)) + end else - print(string.format('acc_time %.02fs', model.accTime)) + for l, t in pairs(model.accTime) do + print(string.format('%s %s %.02fs', + indent, + l, + t)) + end end if torch.isTypeOf(model, nn.Container) then for _, m in ipairs(model.modules) do - profiler.print(m, nbSamples) + profiler.print(m, nbSamples, indent .. ' ') end end end