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

Support broadcast for quantized mul kernel #30442

Closed
wants to merge 3 commits into from

Conversation

lly-zero-one
Copy link
Contributor

Since the tensor iterator supports the broadcast, we will just remove the assertion on input shapes.

@lly-zero-one
Copy link
Contributor Author

As next step, I will add the vectorized implementation for performance.

@newstzpz
Copy link
Contributor

Any update on this?

@lly-zero-one lly-zero-one changed the title [WIP]Support broadcast for quantized mul kernel Support broadcast for quantized mul kernel Feb 19, 2020
Copy link
Contributor

@facebook-github-bot facebook-github-bot left a comment

Choose a reason for hiding this comment

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

@lly-zero-one has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

@facebook-github-bot
Copy link
Contributor

@lly-zero-one merged this pull request in ecb05f1.

ttumiel pushed a commit to ttumiel/pytorch that referenced this pull request Mar 4, 2020
Summary:
Since the tensor iterator supports the broadcast, we will just remove the assertion on input shapes.
Pull Request resolved: pytorch#30442

Differential Revision: D19976562

Pulled By: lly-zero-one

fbshipit-source-id: 91b27fc8b2570f29d110c6df26eacdd16f587b9f
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

5 participants