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

Align the semantic of accumulate type in the renorm operator with stock PyTorch #823

Merged
merged 3 commits into from
Aug 28, 2024

Conversation

xytintel
Copy link
Contributor

Align the semantic of accumulate type in the renorm operator with stock PyTorch.

@fengyuan14
Copy link
Contributor

Please track the feature in #839.

@fengyuan14 fengyuan14 added this pull request to the merge queue Aug 28, 2024
Merged via the queue into main with commit e04c892 Aug 28, 2024
3 checks passed
@fengyuan14 fengyuan14 deleted the xyt/acc_type_for_main branch August 28, 2024 11:20
ZhiweiYan-96 pushed a commit that referenced this pull request Aug 29, 2024
…ck PyTorch (#823)

Align the semantic of accumulate type in the renorm operator with stock
PyTorch.
ZhiweiYan-96 pushed a commit that referenced this pull request Aug 29, 2024
commit e04c892
Author: Yutao Xu <[email protected]>
Date:   Wed Aug 28 19:20:24 2024 +0800

    Align the semantic of accumulate type in the renorm operator with stock PyTorch (#823)

    Align the semantic of accumulate type in the renorm operator with stock
    PyTorch.

commit f14d227
Author: Yutao Xu <[email protected]>
Date:   Wed Aug 28 16:23:34 2024 +0800

    expm1: Align data type in computation with class definition (#832)

    Resolve the FP64 issue in the expm1 operator on ARC.
ZhiweiYan-96 pushed a commit that referenced this pull request Aug 30, 2024
…ck PyTorch (#823)

Align the semantic of accumulate type in the renorm operator with stock
PyTorch.
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