X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=profiler-torch.git;a=blobdiff_plain;f=profiler.lua;h=4e4578741c457c1af5aa0d7a99ceb7b2a4ce7dfc;hp=49eaed426dfbddd8c0e2950ecccdb8b990e8160e;hb=e927faab65fb190dc01959236c07df46f3d28946;hpb=faf424f71ac259f3a7e676113cfe4892084b1c93 diff --git a/profiler.lua b/profiler.lua old mode 100755 new mode 100644 index 49eaed4..4e45787 --- a/profiler.lua +++ b/profiler.lua @@ -1,11 +1,43 @@ +--[[ + + Written by Francois Fleuret (francois@fleuret.org) + + This is free and unencumbered software released into the public + domain. + + Anyone is free to copy, modify, publish, use, compile, sell, or + distribute this software, either in source code form or as a + compiled binary, for any purpose, commercial or non-commercial, and + by any means. + + In jurisdictions that recognize copyright laws, the author or + authors of this software dedicate any and all copyright interest in + the software to the public domain. We make this dedication for the + benefit of the public at large and to the detriment of our heirs + and successors. We intend this dedication to be an overt act of + relinquishment in perpetuity of all present and future rights to + this software under copyright law. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY + CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF + CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION + WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + + For more information, please refer to + +]]-- + require 'torch' require 'nn' require 'sys' profiler = {} -function profiler.decor(model, functionsToDecorate) +function profiler.decorate(model, functionsToDecorate) local functionsToDecorate = functionsToDecorate or { @@ -14,23 +46,26 @@ function profiler.decor(model, functionsToDecorate) } for _, name in pairs(functionsToDecorate) do - model.timings = 0 + model.accTime = {} - local functionTable = model + local nameOrig = name .. '__orig' - if not rawget(functionTable, name) then - functionTable = getmetatable(model) + -- We decorate the class and not the object, otherwise we cannot + -- save models anymore. + + if rawget(model, name) then + error('We decorate the class, not the objects, and there is a ' .. name .. ' in ' .. model) end - if functionTable[name] and not (functionTable.orig and functionTable.orig[name]) then - print('Profiler decoring ' .. functionTable.__typename .. '.' .. name) - functionTable.orig = functionTable.orig or {} - functionTable.orig[name] = functionTable[name] - functionTable[name] = function(self, ...) + local toDecorate = getmetatable(model) + + if toDecorate[name] and not toDecorate[nameOrig] then + toDecorate[nameOrig] = toDecorate[name] + toDecorate[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.timings = self.timings + endTime - startTime + self.accTime[name] = (self.accTime[name] or 0) + endTime - startTime return unpack(result) end end @@ -39,24 +74,33 @@ function profiler.decor(model, functionsToDecorate) if torch.isTypeOf(model, nn.Container) then for _, m in ipairs(model.modules) do - profiler.decor(m, functionsToDecorate) + profiler.decorate(m, functionsToDecorate) end end end -function profiler.print(model, nbSamples) - print('----------------------------------------------------------------------') - print(model) - if nbSamples then - print(string.format('acc_time %.02fs (%.1ems/sample)', model.timings, 1000 * model.timings / nbSamples)) - else - print(string.format('acc_time %.02fs', model.timings)) +function profiler.print(model, nbSamples, totalTime, indent) + local indent = indent or '' + + print(string.format('%s* %s', indent, model.__typename)) + + for l, t in pairs(model.accTime) do + local s = string.format('%s %s %.02fs', indent, l, t) + if totalTime then + s = s .. string.format(' [%.02f%%]', 100 * t / totalTime) + end + if nbSamples then + s = s .. string.format(' (%.01fmus/sample)', 1e6 * t / nbSamples) + end + print(s) end + print() + if torch.isTypeOf(model, nn.Container) then for _, m in ipairs(model.modules) do - profiler.print(m, nbSamples) + profiler.print(m, nbSamples, totalTime, indent .. ' ') end end end