added an argument to choose the final export model name

DeepSpeech.py

@@ -812,7 +812,7 @@ def export():
     checkpoint = tf.train.get_checkpoint_state(FLAGS.checkpoint_dir)
     checkpoint_path = checkpoint.model_checkpoint_path
 
-    output_filename = 'output_graph.pb'
+    output_filename = FLAGS.export_name +'.pb'
     if FLAGS.remove_export:
         if os.path.isdir(FLAGS.export_dir):
             log_info('Removing old export')

util/flags.py

@@ -110,6 +110,7 @@ def create_flags():
     f.DEFINE_integer('n_steps', 16, 'how many timesteps to process at once by the export graph, higher values mean more latency')
     f.DEFINE_string('export_language', '', 'language the model was trained on e.g. "en" or "English". Gets embedded into exported model.')
     f.DEFINE_boolean('export_zip', False, 'export a TFLite model and package with LM and info.json')
+    f.DEFINE_string('export_name','output_graph', 'name for the export model')
 
     # Reporting