Tidied a bit the printing.

[profiler-torch.git] / profiler.lua

diff --git a/profiler.lua b/profiler.lua
old mode 100755 (executable)
new mode 100644 (file)
index 6f63861..ad280d2
--- a/profiler.lua
+++ b/profiler.lua
@@ -48,22 +48,11 @@ function profiler.decor(model, functionsToDecorate)
    for _, name in pairs(functionsToDecorate) do
       model.accTime = {}
 
-      local functionTable = 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
-
       local nameOrig = name .. '__orig'
 
-      if functionTable[name] and not functionTable[nameOrig] then
-         print('Profiler decoring ' .. functionTable.__typename .. '.' .. name)
-         functionTable[nameOrig] = functionTable[name]
-         functionTable[name] = function(self, ...)
+      if model[name] and not model[nameOrig] then
+         model[nameOrig] = model[name]
+         model[name] = function(self, ...)
             local startTime = sys.clock()
             local result = { self[nameOrig](self, unpack({...})) }
             local endTime = sys.clock()
@@ -87,21 +76,14 @@ function profiler.print(model, nbSamples, indent)
 
    print(string.format('%s* %s', indent, model.__typename))
 
-   if nbSamples then
-      for l, t in pairs(model.accTime) do
-         print(string.format('%s  %s %.02fs (%.01fmus/sample)',
-                             indent,
-                             l,
-                             t,
-                             1e6 * t / nbSamples))
-      end
-   else
-      for l, t in pairs(model.accTime) do
-         print(string.format('%s  %s %.02fs',
-                             indent,
-                             l,
-                             t))
+   for l, t in pairs(model.accTime) do
+      local s
+      if nbSamples then
+         s = string.format(' (%.01fmus/sample)', 1e6 * t / nbSamples)
+      else
+         s = ''
       end
+      print(string.format('%s  %s %.02fs%s', indent, l, t, s))
    end
 
    if torch.isTypeOf(model, nn.Container) then