Skip to content

Conversation

@andreasfloros
Copy link
Contributor

@andreasfloros andreasfloros commented Jun 8, 2024

Closes #8450

import torch from torchvision.transforms.functional import gaussian_blur from torchvision.transforms.v2.functional import gaussian_blur as gaussian_blur_v2 devices = ['cpu'] if not torch.cuda.is_available() else ['cpu', 'cuda'] k = 15 for device in devices: for blur in [gaussian_blur, gaussian_blur_v2]: torch.manual_seed(0) img = torch.randn(1, 3, 256, 256, device=device) s = torch.tensor(0.3 * ((5 - 1) * 0.5 - 1) + 0.8, requires_grad=True, device=device) blurred = blur(img, k, [s]) blurred.mean().backward() print(s.grad)
tensor(-2.1697e-06) tensor(-2.1695e-06) tensor(4.1030e-06, device='cuda:0') tensor(4.1030e-06, device='cuda:0') 

cc @vfdev-5

@pytorch-bot
Copy link

pytorch-bot bot commented Jun 8, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8486

Note: Links to docs will display an error until the docs builds have been completed.

❌ 4 New Failures, 16 Unrelated Failures

As of commit 648efae with merge base 15a69ca (image):

NEW FAILURES - The following jobs have failed:

FLAKY - The following job failed but was likely due to flakiness present on trunk:

BROKEN TRUNK - The following jobs failed but was present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-bot
Copy link
Contributor

Hi @andreasfloros!

Thank you for your pull request.

We require contributors to sign our Contributor License Agreement, and yours needs attention.

You currently have a record in our system, but the CLA is no longer valid, and will need to be resubmitted.

Process

In order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA.

Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with CLA signed. The tagging process may take up to 1 hour after signing. Please give it that time before contacting us about it.

If you have received this in error or have any questions, please contact us at cla@meta.com. Thanks!

@facebook-github-bot
Copy link
Contributor

Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks!

@andreasfloros
Copy link
Contributor Author

@NicolasHug I think the errors are unrelated, could you take a look?

Copy link
Member

@NicolasHug NicolasHug left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@NicolasHug NicolasHug merged commit ee6c3d0 into pytorch:main Jul 29, 2024
@andreasfloros andreasfloros deleted the v2-gaussian-blur-backprop branch July 29, 2024 15:46
facebook-github-bot pushed a commit that referenced this pull request Aug 2, 2024
Summary: Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com> Reviewed By: vmoens Differential Revision: D60596233 fbshipit-source-id: aa7d8a3295cdc206c8503d01da3c48821512898c
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment