Update train.py

train.py

@@ -30,7 +30,6 @@
 tf.flags.DEFINE_integer("evaluate_every", 100, "Evaluate model on dev set after this many steps (default: 100)")
 tf.flags.DEFINE_integer("checkpoint_every", 100, "Save model after this many steps (default: 100)")
 tf.flags.DEFINE_integer("num_checkpoints", 5, "Number of checkpoints to store (default: 5)")
-tf.flags.DEFINE_string("checkpoint_file", str(int(time.time())), "Checkpoint file for saving the training model (default: 'time.time()')")
 # Misc Parameters
 tf.flags.DEFINE_boolean("allow_soft_placement", True, "Allow device soft device placement")
 tf.flags.DEFINE_boolean("log_device_placement", False, "Log placement of ops on devices")
@@ -43,7 +42,7 @@
 print("")
 
 
-# Data Preparatopn
+# Data Preparation
 # ==================================================
 
 # Load data
@@ -105,7 +104,8 @@
         grad_summaries_merged = tf.merge_summary(grad_summaries)
 
         # Output directory for models and summaries
-        out_dir = os.path.abspath(os.path.join(os.path.curdir, "runs", FLAGS.checkpoint_file))
+        timestamp = str(int(time.time()))
+        out_dir = os.path.abspath(os.path.join(os.path.curdir, "runs", timestamp))
         print("Writing to {}\n".format(out_dir))
 
         # Summaries for loss and accuracy