From 28e0e441b7174107361de17bb580d37663dc0854 Mon Sep 17 00:00:00 2001
From: danblae <43992405+danblae@users.noreply.github.com>
Date: Mon, 14 Nov 2022 09:56:48 +0000
Subject: [PATCH] iter.next() to next(iter) The new pytorch version does not
 allow the old command and causes the code to return errors when running. It
 is a small fix, that will especially help beginners.

---
 09_dataloader.py  | 4 ++--
 13_feedforward.py | 2 +-
 14_cnn.py         | 2 +-
 16_tensorboard.py | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/09_dataloader.py b/09_dataloader.py
index 18c76e01bd0814..88247da95a16b3 100644
--- a/09_dataloader.py
+++ b/09_dataloader.py
@@ -66,7 +66,7 @@ def __len__(self):
 
 # convert to an iterator and look at one random sample
 dataiter = iter(train_loader)
-data = dataiter.next()
+data = next(dataiter)
 features, labels = data
 print(features, labels)
 
@@ -97,6 +97,6 @@ def __len__(self):
 
 # look at one random sample
 dataiter = iter(train_loader)
-data = dataiter.next()
+data = next(dataiter)
 inputs, targets = data
 print(inputs.shape, targets.shape)
diff --git a/13_feedforward.py b/13_feedforward.py
index b38f9eb7c28261..29507b28edbf06 100644
--- a/13_feedforward.py
+++ b/13_feedforward.py
@@ -35,7 +35,7 @@
                                           shuffle=False)
 
 examples = iter(test_loader)
-example_data, example_targets = examples.next()
+example_data, example_targets = next(examples)
 
 for i in range(6):
     plt.subplot(2,3,i+1)
diff --git a/14_cnn.py b/14_cnn.py
index ca0b4cbf7bb4bb..a4abbd1a3a21b7 100644
--- a/14_cnn.py
+++ b/14_cnn.py
@@ -45,7 +45,7 @@ def imshow(img):
 
 # get some random training images
 dataiter = iter(train_loader)
-images, labels = dataiter.next()
+images, labels = next(dataiter)
 
 # show images
 imshow(torchvision.utils.make_grid(images))
diff --git a/16_tensorboard.py b/16_tensorboard.py
index 0bd67dc6f8bd4b..21baa49bd304f5 100644
--- a/16_tensorboard.py
+++ b/16_tensorboard.py
@@ -43,7 +43,7 @@
                                           shuffle=False)
 
 examples = iter(test_loader)
-example_data, example_targets = examples.next()
+example_data, example_targets = next(examples)
 
 for i in range(6):
     plt.subplot(2,3,i+1)