Cherrypick PR#2878 into r1.8 (#2880)

pytorch · Apr 14, 2021 · f2f8f44 · f2f8f44
1 parent 66e6cd1
commit f2f8f44
Showing 1 changed file with 13 additions and 9 deletions.
diff --git a/test/test_train_mp_imagenet.py b/test/test_train_mp_imagenet.py
@@ -24,6 +24,9 @@
     '--lr_scheduler_divisor': {
         'type': int,
     },
+    '--test_only_at_end': {
+        'action': 'store_true',
+    },
 }
 
 FLAGS = args_parse.parse_common_options(
@@ -236,15 +239,16 @@ def test_loop_fn(loader, epoch):
     xm.master_print('Epoch {} train begin {}'.format(epoch, test_utils.now()))
     train_loop_fn(train_device_loader, epoch)
     xm.master_print('Epoch {} train end {}'.format(epoch, test_utils.now()))
-    accuracy = test_loop_fn(test_device_loader, epoch)
-    xm.master_print('Epoch {} test end {}, Accuracy={:.2f}'.format(
-        epoch, test_utils.now(), accuracy))
-    max_accuracy = max(accuracy, max_accuracy)
-    test_utils.write_to_summary(
-        writer,
-        epoch,
-        dict_to_write={'Accuracy/test': accuracy},
-        write_xla_metrics=True)
+    if not FLAGS.test_only_at_end or epoch == FLAGS.num_epochs:
+      accuracy = test_loop_fn(test_device_loader, epoch)
+      xm.master_print('Epoch {} test end {}, Accuracy={:.2f}'.format(
+          epoch, test_utils.now(), accuracy))
+      max_accuracy = max(accuracy, max_accuracy)
+      test_utils.write_to_summary(
+          writer,
+          epoch,
+          dict_to_write={'Accuracy/test': accuracy},
+          write_xla_metrics=True)
     if FLAGS.metrics_debug:
       xm.master_print(met.metrics_report())