Skip to content

Update autograd_tutorial.py #2021

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

Merged
merged 4 commits into from
Aug 29, 2022
Merged

Update autograd_tutorial.py #2021

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
05ffcb2
Update autograd_tutorial.py
AdityaPunetha Aug 29, 2022
360fb5a
Merge branch 'master' into master
malfet Aug 29, 2022
4c72e9d
Update autograd_tutorial.py
malfet Aug 29, 2022
6498737
Merge branch 'master' into master
malfet Aug 29, 2022
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
7 changes: 4 additions & 3 deletions beginner_source/blitz/autograd_tutorial.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,8 +43,9 @@
This tutorial work only on CPU and will not work on GPU (even if tensor are moved to CUDA).

"""
import torch, torchvision
model = torchvision.models.resnet18(pretrained=True)
import torch
from torchvision.models import resnet18, ResNet18_Weights
model = resnet18(weights=ResNet18_Weights.DEFAULT)
data = torch.rand(1, 3, 64, 64)
labels = torch.rand(1, 1000)

Expand Down Expand Up @@ -283,7 +284,7 @@

from torch import nn, optim

model = torchvision.models.resnet18(pretrained=True)
model = resnet18(weights=ResNet18_Weights.DEFAULT)

# Freeze all the parameters in the network
for param in model.parameters():
Expand Down