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Update next(iter) to align with Python3 #2087

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Merged
merged 2 commits into from
Oct 18, 2022
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Update next(iter) to align with Python3 #2087

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0cc026a
Update next(iter) to align with Python3
Oct 18, 2022
106c144
Update tensorboard_tutorial.rst
Oct 18, 2022
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4 changes: 2 additions & 2 deletions beginner_source/introyt/introyt1_tutorial.py
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Original file line number Diff line number Diff line change
Expand Up @@ -369,7 +369,7 @@ def imshow(img):

# get some random training images
dataiter = iter(trainloader)
images, labels = dataiter.next()
images, labels = next(dataiter)

# show images
imshow(torchvision.utils.make_grid(images))
Expand Down Expand Up @@ -446,7 +446,7 @@ def imshow(img):

# get some random training images
dataiter = iter(trainloader)
images, labels = dataiter.next()
images, labels = next(dataiter)

# show images
imshow(torchvision.utils.make_grid(images))
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4 changes: 2 additions & 2 deletions beginner_source/introyt/tensorboardyt_tutorial.py
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Expand Up @@ -115,7 +115,7 @@ def matplotlib_imshow(img, one_channel=False):

# Extract a batch of 4 images
dataiter = iter(training_loader)
images, labels = dataiter.next()
images, labels = next(dataiter)

# Create a grid from the images and show them
img_grid = torchvision.utils.make_grid(images)
Expand Down Expand Up @@ -242,7 +242,7 @@ def forward(self, x):

# Again, grab a single mini-batch of images
dataiter = iter(training_loader)
images, labels = dataiter.next()
images, labels = next(dataiter)

# add_graph() will trace the sample input through your model,
# and render it as a graph.
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2 changes: 1 addition & 1 deletion beginner_source/introyt/trainingyt.py
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Expand Up @@ -112,7 +112,7 @@ def matplotlib_imshow(img, one_channel=False):
plt.imshow(np.transpose(npimg, (1, 2, 0)))

dataiter = iter(training_loader)
images, labels = dataiter.next()
images, labels = next(dataiter)

# Create a grid from the images and show them
img_grid = torchvision.utils.make_grid(images)
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2 changes: 1 addition & 1 deletion intermediate_source/tensorboard_tutorial.rst
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Expand Up @@ -144,7 +144,7 @@ using `make_grid <https://pytorch.org/vision/stable/utils.html#torchvision.utils

# get some random training images
dataiter = iter(trainloader)
images, labels = dataiter.next()
images, labels = next(dataiter)

# create grid of images
img_grid = torchvision.utils.make_grid(images)
Expand Down