elscript
diff --git a/‎PyTorch/Detection/SSD/main.py‎
Lines changed: 8 additions & 3 deletions b/‎PyTorch/Detection/SSD/main.py‎
Lines changed: 8 additions & 3 deletions
diff --git a/‎PyTorch/Detection/SSD/src/logger.py‎
Lines changed: 3 additions & 3 deletions b/‎PyTorch/Detection/SSD/src/logger.py‎
Lines changed: 3 additions & 3 deletions
@@ -108,6 +108,8 @@ def make_parser():
     parser.add_argument('--num-workers', type=int, default=4)
     parser.add_argument('--amp', action='store_true',
                         help='Whether to enable AMP ops. When false, uses TF32 on A100 and FP32 on V100 GPUS.')
+    parser.add_argument('--log-interval', type=int, default=20,
+                        help='Logging interval.')
     parser.add_argument('--json-summary', type=str, default=None,
                         help='If provided, the json summary will be written to'
                              'the specified file.')
@@ -273,15 +275,18 @@ def log_params(logger, args):
 
     if args.mode == 'benchmark-training':
         train_loop_func = benchmark_train_loop
-        logger = BenchLogger('Training benchmark', json_output=args.json_summary)
+        logger = BenchLogger('Training benchmark', log_interval=args.log_interval,
+                             json_output=args.json_summary)
         args.epochs = 1
     elif args.mode == 'benchmark-inference':
         train_loop_func = benchmark_inference_loop
-        logger = BenchLogger('Inference benchmark', json_output=args.json_summary)
+        logger = BenchLogger('Inference benchmark', log_interval=args.log_interval,
+                             json_output=args.json_summary)
         args.epochs = 1
     else:
         train_loop_func = train_loop
-        logger = Logger('Training logger', print_freq=1, json_output=args.json_summary)
+        logger = Logger('Training logger', log_interval=args.log_interval,
+                        json_output=args.json_summary)
 
     log_params(logger, args)
 
 
@@ -54,12 +54,12 @@ def update_epoch(self, epoch):
 
 
 class Logger:
-    def __init__(self, name, json_output=None, print_freq=20):
+    def __init__(self, name, json_output=None, log_interval=20):
         self.name = name
         self.train_loss_logger = IterationAverageMeter("Training loss")
         self.train_epoch_time_logger = EpochMeter("Training 1 epoch time")
         self.val_acc_logger = EpochMeter("Validation accuracy")
-        self.print_freq = print_freq
+        self.log_interval = log_interval
 
         backends = [ DLLogger.StdOutBackend(DLLogger.Verbosity.DEFAULT) ]
         if json_output:
@@ -95,7 +95,7 @@ def log_summary(self):
     def update_iter(self, epoch, iteration, loss):
         self.train_iter = iteration
         self.train_loss_logger.update_iter(loss)
-        if iteration % self.print_freq == 0:
+        if iteration % self.log_interval == 0:
             self.log('loss', loss)
 
     def update_epoch(self, epoch, acc):