From 9136f336843b4c5bdfec9c365eff27296293a2bb Mon Sep 17 00:00:00 2001
From: D-X-Y <280835372@qq.com>
Date: Fri, 2 Jul 2021 09:19:39 +0000
Subject: [PATCH] Fix errors

---
 .latent-data/qlib            | 2 +-
 exps/basic/xmain.py          | 7 +++++--
 xautodl/xmisc/meter_utils.py | 6 ++++++
 3 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/.latent-data/qlib b/.latent-data/qlib
index 5e5fc24..2d4f0e8 160000
--- a/.latent-data/qlib
+++ b/.latent-data/qlib
@@ -1 +1 @@
-Subproject commit 5e5fc2451d1702f08e2fa933107aa45b6356b6ed
+Subproject commit 2d4f0e80f98211ba2e1f25a329ad2421fb8087cd
diff --git a/exps/basic/xmain.py b/exps/basic/xmain.py
index cffc590..faffdc1 100644
--- a/exps/basic/xmain.py
+++ b/exps/basic/xmain.py
@@ -74,8 +74,11 @@ def main(args):
     logger.log("The optimizer is:\n{:}".format(optimizer))
     logger.log("The objective is {:}".format(objective))
     logger.log("The metric is {:}".format(metric))
-    logger.log("The iters_per_epoch = {:}, estimated epochs = {:}".format(
-      iters_per_epoch, args.steps // iters_per_epoch))
+    logger.log(
+        "The iters_per_epoch = {:}, estimated epochs = {:}".format(
+            iters_per_epoch, args.steps // iters_per_epoch
+        )
+    )
 
     model, objective = torch.nn.DataParallel(model).cuda(), objective.cuda()
     scheduler = xmisc.LRMultiplier(
diff --git a/xautodl/xmisc/meter_utils.py b/xautodl/xmisc/meter_utils.py
index 0e4ac43..c2dd7b0 100644
--- a/xautodl/xmisc/meter_utils.py
+++ b/xautodl/xmisc/meter_utils.py
@@ -1,6 +1,12 @@
 #####################################################
 # Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.06 #
 #####################################################
+# In this python file, it contains the meter classes#
+# , which may need to use PyTorch or Numpy.         #
+#####################################################
+import abc
+import torch
+import torch.nn.functional as F
 
 
 class AverageMeter: