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.

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

First step in implementing upsample_bilinear2d_aa #8090

Merged
merged 1 commit into from
Oct 2, 2024

Conversation

barney-s
Copy link
Contributor

@barney-s barney-s commented Sep 27, 2024

Implemented upsample_bilinear2d_aa

Tests the pass sample_h, sample_w are failing. Will fix that in a subsequent PR and enable tests.
Basic tests are passing, including one with align_corners=True.

Test Failing params:

args=(), kwargs={'output_size': torch.Size([3, 3]), 'align_corners': False, 'scales_h': 1.7, 'scales_w': 0.9}, broadcasts_input=False, name='')

Copy link
Collaborator

@ManfeiBai ManfeiBai left a comment

Choose a reason for hiding this comment

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

Thanks, LGTM

@barney-s barney-s force-pushed the upsample_bilinear2d branch 5 times, most recently from b7b3238 to a8b34ed Compare October 1, 2024 22:26
@barney-s barney-s changed the title [WIP] Implement upsample_bilinear2d_aa First step in implementing upsample_bilinear2d_aa Oct 2, 2024
@ManfeiBai ManfeiBai merged commit 365841d into pytorch:master Oct 2, 2024
3 checks passed
@barney-s
Copy link
Contributor Author

barney-s commented Oct 3, 2024

#7389

dvhg pushed a commit to dvhg/xla that referenced this pull request Oct 7, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants