-
Notifications
You must be signed in to change notification settings - Fork 7k
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.
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
Add GaussianNoise #8381
Add GaussianNoise #8381
Conversation
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8381
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 13 New Failures, 4 Unrelated FailuresAs of commit d926a83 with merge base b0f9f7b (): NEW FAILURES - The following jobs have failed:
BROKEN TRUNK - The following jobs failed but were 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. |
Hi @Richienb! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn 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 If you have received this in error or have any questions, please contact us at cla@meta.com. Thanks! |
clip (bool, optional): Whether to clip the values in ``[0, 1]`` after adding noise. Default is True. | ||
""" | ||
|
||
def __init__(self, mean: float = 0.0, sigma: float = 0.1, clip=True) -> None: |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I think sigma
(σ) should instead be called var
for "variance". For example, mean
is not called mu
(μ).
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
That's fair @Richienb , I can't claim mean
and sigma
are the best name combination, but unfortunately for consistency this is probably what we'll need to use, as these are the names that are already used by GaussianBlur
.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Ok, let's save this for a future breaking change.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks for the PR @Richienb , as you've seen I've made a few changes to the original implementation, but this LGTM now. In particular the transform enforces tensors with float dtype (PIL isn't supported). We might add support for that later but that would require a dtype conversion to avoid over/underflows, so it's best to treat it separately. Thank you again for the PR!
Summary: Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Reviewed By: vmoens Differential Revision: D58283845 fbshipit-source-id: e3cadf800c582383a28b9e097263084a9aa40364
Fixes #6192
Fixes #6233
cc @vfdev-5