Improved debug print

Config.py

@@ -82,7 +82,7 @@ class Config :
     right = 5
     print("stack :",[self.getAsFeature(ind, "ID") for ind in self.stack], file=output)
     print("history :",[trans.name for trans in self.history[-10:]], file=output)
-    print("historyPop :",[(c[0].name,c[1],c[2]) for c in self.historyPop[-10:]], file=output)
+    print("historyPop :",[(c[0].name,"dat:"+str(c[1]),"mvt:"+str(c[2]),"reward:"+str(c[3])) for c in self.historyPop[-10:]], file=output)
     toPrint = []
     for lineIndex in range(self.wordIndex-left, self.wordIndex+right) :
       if lineIndex not in range(len(self.lines)) :

Train.py

@@ -135,7 +135,7 @@ def trainModelOracle(debug, modelDir, filename, nbEpochs, batchSize, devFile, tr
       advancement += targets.size(0)
       if not silent and advancement >= printInterval :
         advancement = 0
-        print("Curent epoch %6.2f%%"%(100.0*nbEx/examples.size(0)), end="\r", file=sys.stderr)
+        print("Current epoch %6.2f%%"%(100.0*nbEx/examples.size(0)), end="\r", file=sys.stderr)
       outputs = network(inputs)
       loss = lossFct(outputs, targets)
       network.zero_grad()
@@ -182,7 +182,7 @@ def trainModelRl(debug, modelDir, filename, nbIter, batchSize, devFile, transiti
         sentIndex = 0
 
       if not silent :
-        print("Curent epoch %6.2f%%"%(100.0*i/nbExByEpoch), end="\r", file=sys.stderr)
+        print("Current epoch %6.2f%%"%(100.0*i/nbExByEpoch), end="\r", file=sys.stderr)
       sentence = sentences[sentIndex]
       sentence.moveWordIndex(0)
       state = policy_net.extractFeatures(dicts, sentence).to(getDevice())

main.py

@@ -38,6 +38,9 @@ if __name__ == "__main__" :
     help="Don't print advancement infos.")
   args = parser.parse_args()
 
+  if args.debug :
+    args.silent = True
+
   os.makedirs(args.model, exist_ok=True)
 
   Util.setDevice(torch.device("cuda" if torch.cuda.is_available() else "cpu"))