-
Notifications
You must be signed in to change notification settings - Fork 2.3k
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
[autodiff] Make loss seed only set once in the tape #7910
Merged
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
✅ Deploy Preview for docsite-preview ready!
To edit notification comments on pull requests, go to your Netlify site settings. |
erizmr
changed the title
[autodiff] Enforce loss seed only set once in the tape
[autodiff] Make loss seed only set once in the tape
Apr 27, 2023
for more information, see https://pre-commit.ci
ailzhang
approved these changes
Apr 27, 2023
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 more information, see https://pre-commit.ci
quadpixels
pushed a commit
to quadpixels/taichi
that referenced
this pull request
May 13, 2023
Issue: # ### Brief Summary <!-- copilot:summary --> ### <samp>🤖 Generated by Copilot at fdbd83a</samp> This pull request enhances the reverse mode automatic differentiation (AD) module in `ad._ad.py`. It simplifies the loss gradient initialization and validation, and removes unnecessary code. ### Walkthrough <!-- copilot:walkthrough --> ### <samp>🤖 Generated by Copilot at fdbd83a</samp> * Initialize the loss gradient with 1.0 for reverse mode AD in the tape context (`[link](https://github.com/taichi-dev/taichi/pull/7910/files?diff=unified&w=0#diff-b986921c47e4b8c903d6bfc906398260dfeb17e16f05e5cd5b52e401eddc0bd0R215)`, `[link](https://github.com/taichi-dev/taichi/pull/7910/files?diff=unified&w=0#diff-b986921c47e4b8c903d6bfc906398260dfeb17e16f05e5cd5b52e401eddc0bd0R228-R233)`) --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Issue: #
Brief Summary
🤖 Generated by Copilot at fdbd83a
This pull request enhances the reverse mode automatic differentiation (AD) module in
ad._ad.py
. It simplifies the loss gradient initialization and validation, and removes unnecessary code.Walkthrough
🤖 Generated by Copilot at fdbd83a
[link](https://github.com/taichi-dev/taichi/pull/7910/files?diff=unified&w=0#diff-b986921c47e4b8c903d6bfc906398260dfeb17e16f05e5cd5b52e401eddc0bd0R215)
,[link](https://github.com/taichi-dev/taichi/pull/7910/files?diff=unified&w=0#diff-b986921c47e4b8c903d6bfc906398260dfeb17e16f05e5cd5b52e401eddc0bd0R228-R233)
)