Mercurial > ift6266

diff deep/stacked_dae/v2/sgd_optimization.py @ 228:851e7ad4a143

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Corrigé une erreur dans la formule de coût modifiée dans stacked_dae, et enlevé des timers dans sgd_optimization
author fsavard
date Fri, 12 Mar 2010 10:47:36 -0500
parents acae439d6572
children 02eb98d051fe
line wrap: on
line diff
--- a/deep/stacked_dae/v2/sgd_optimization.py	Fri Mar 12 10:31:10 2010 -0500
+++ b/deep/stacked_dae/v2/sgd_optimization.py	Fri Mar 12 10:47:36 2010 -0500
@@ -104,9 +104,6 @@
         print "STARTING PRETRAINING, time = ", datetime.datetime.now()
         sys.stdout.flush()
 
-        time_acc_func = 0.0
-        time_acc_total = 0.0
-
         start_time = time.clock()  
         ## Pre-train layer-wise 
         for i in xrange(self.classifier.n_layers):
@@ -114,14 +111,7 @@
             for epoch in xrange(self.hp.pretraining_epochs_per_layer):
                 # go through the training set
                 for batch_index in xrange(self.n_train_batches):
-                    t1 = time.clock()
                     c = self.classifier.pretrain_functions[i](batch_index)
-                    t2 = time.clock()
-
-                    time_acc_func += t2 - t1
-
-                    if batch_index % 500 == 0:
-                        print "acc / total", time_acc_func / (t2 - start_time), time_acc_func
 
                     self.series["reconstruction_error"].append((epoch, batch_index), c)