Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

intro to pytorch: Part 2, next() is not a method #410

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

intro to pytorch: Part 2, next() is not a method #410

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
78e3873
intro to pytorch: Part 2, next() is not a method
VadimPushtaev Feb 28, 2023
bdee1b8
convo nn: next() is not a method
VadimPushtaev Apr 9, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions convolutional-neural-networks/mnist-mlp/mnist_mlp_exercise.ipynb
View file
Original file line number Diff line number Diff line change
@@ -108,7 +108,7 @@
" \n",
"# obtain one batch of training images\n",
"dataiter = iter(train_loader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"images = images.numpy()\n",
"\n",
"# plot the images in the batch, along with the corresponding labels\n",
@@ -360,7 +360,7 @@
"source": [
"# obtain one batch of test images\n",
"dataiter = iter(test_loader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"\n",
"# get sample outputs\n",
"output = model(images)\n",
2 changes: 1 addition & 1 deletion intro-to-pytorch/Part 2 - Neural Networks in PyTorch (Exercises).ipynb
View file
Original file line number Diff line number Diff line change
@@ -452,7 +452,7 @@
"source": [
"# Grab some data \n",
"dataiter = iter(trainloader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"\n",
"# Resize images into a 1D vector, new shape is (batch size, color channels, image pixels) \n",
"images.resize_(64, 1, 784)\n",
4 changes: 2 additions & 2 deletions intro-to-pytorch/Part 2 - Neural Networks in PyTorch (Solution).ipynb
View file
Original file line number Diff line number Diff line change
@@ -112,7 +112,7 @@
],
"source": [
"dataiter = iter(trainloader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"print(type(images))\n",
"print(images.shape)\n",
"print(labels.shape)"
@@ -650,7 +650,7 @@
"source": [
"# Grab some data \n",
"dataiter = iter(trainloader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"\n",
"# Resize images into a 1D vector, new shape is (batch size, color channels, image pixels) \n",
"images.resize_(64, 1, 784)\n",
2 changes: 1 addition & 1 deletion intro-to-pytorch/Part 4 - Fashion-MNIST (Solution).ipynb
View file
Original file line number Diff line number Diff line change
@@ -207,7 +207,7 @@
"# Test out your network!\n",
"\n",
"dataiter = iter(testloader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"img = images[1]\n",
"\n",
"# TODO: Calculate the class probabilities (softmax) for img\n",
2 changes: 1 addition & 1 deletion intro-to-pytorch/Part 5 - Inference and Validation (Exercises).ipynb
View file
Original file line number Diff line number Diff line change
@@ -367,7 +367,7 @@
"model.eval()\n",
"\n",
"dataiter = iter(testloader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"img = images[0]\n",
"# Convert 2D image to 1D vector\n",
"img = img.view(1, 784)\n",
2 changes: 1 addition & 1 deletion intro-to-pytorch/Part 5 - Inference and Validation (Solution).ipynb
View file
Original file line number Diff line number Diff line change
@@ -507,7 +507,7 @@
"model.eval()\n",
"\n",
"dataiter = iter(testloader)\n",
"images, labels = dataiter.next()\n",
"images, labels = next(dataiter)\n",
"img = images[0]\n",
"# Convert 2D image to 1D vector\n",
"img = img.view(1, 784)\n",