exp end_to_end_subsample_conv_hand_steph_model maj du fichier de log...

exp end_to_end_subsample_conv_hand_steph_model maj du fichier de log tensorboard + do not recompute repr after training

main/experiments/scripts/november_2018/end_to_end_subsample_conv_hand_steph_model/deepstrom_classif_end_to_end.py

@@ -215,7 +215,7 @@ def main(paraman, resman, printman):
 
     summary_writer = None
     if paraman["--tensorboard"]:
-        summary_writer = tf.summary.FileWriter(f"log/{int(t.time())}/{paraman['dataset']}/nys_size_{paraman['--nys-size']}/")
+        summary_writer = tf.summary.FileWriter(f"log/{int(t.time())}/{paraman['dataset']}/nys_size_{paraman['--nys-size']}/subs_every_{paraman['--subs-every']}")
 
     # In[7]:
 
@@ -257,8 +257,6 @@ def main(paraman, resman, printman):
         training_time = t.time() - global_start
         resman["training_time"] = training_time
 
-        feed_dict = {x: nys_subsample}
-        computed_repr_sub, = sess.run([repr_x], feed_dict=feed_dict)
 
         accuracies_val = []
         i = 0