After-the-fact response to @k-w-w 's review (#3841)

research/tensorrt/tensorrt.py

@@ -329,10 +329,6 @@ def log_stats(graph_name, log_buffer, timings, batch_size):
     timings: list of floats, times produced for multiple runs that will be
       used for statistic calculation
     batch_size: int, number of examples per batch
-
-  Returns:
-    list of two floats representing frames per second and 99th percentile
-      time per batch
   """
   times = np.array(timings)
   steps = len(times)
@@ -357,8 +353,6 @@ def log_stats(graph_name, log_buffer, timings, batch_size):
 
   log_buffer.write(msg)
 
-  return [speed_mean, time_99th]
-
 
 def time_and_log_graph(graph_name, graph_def, data, log_buffer, flags):
   timings, result = time_graph(