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Fix fused MoE when routed_scaling_factor is None
#8709
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Summary of Changes
Hello @hnyls2002, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request implements a minor but important fix within the fused MoE layer's initialization. It enhances the robustness of the MoE implementation by preventing potential runtime issues when a specific configuration parameter, routed_scaling_factor
, is not explicitly provided, ensuring it always has a valid numerical value.
Highlights
- Bug Fix: Addressed an issue in the fused Mixture-of-Experts (MoE) layer where the
routed_scaling_factor
could beNone
, potentially leading to errors. The change ensures that ifrouted_scaling_factor
is passed asNone
, it defaults to1.0
.
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Summary of Changes
Hello @hnyls2002, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request resolves a potential issue in the fused Mixture of Experts (MoE) layer where the routed_scaling_factor
could be initialized as None
, leading to unexpected behavior or errors. The change ensures that a sensible default value of 1.0
is used in such cases, improving the robustness of the MoE implementation.
Highlights
- Bug Fix: Corrected the initialization of
self.routed_scaling_factor
in theFusedMoELayer
to default to1.0
when therouted_scaling_factor
parameter isNone
.
Using Gemini Code Assist
The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.
Invoking Gemini
You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command>
or @gemini-code-assist <command>
. Below is a summary of the supported commands.
Feature | Command | Description |
---|---|---|
Code Review | /gemini review |
Performs a code review for the current pull request in its current state. |
Pull Request Summary | /gemini summary |
Provides a summary of the current pull request in its current state. |
Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in issue comments and review comments. |
Help | /gemini help |
Displays a list of available commands. |
Customization
To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/
folder in the base of the repository. Detailed instructions can be found here.
Limitations & Feedback
Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments or fill out our survey to provide feedback.
You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.
Footnotes
-
Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩
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Code Review
This pull request correctly handles the case where routed_scaling_factor
is None
by providing a default value of 1.0
. This prevents a potential TypeError
in EPMoE.forward_deepgemm
. The change is small, correct, and improves the robustness of the code. I've added one minor suggestion for conciseness.
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Code Review
This pull request correctly fixes a potential TypeError
that could occur in MoE layers if routed_scaling_factor
is None
. The change ensures a default value is used, preventing a runtime error. I've added one suggestion to improve the code's conciseness.
Reproduction:
Issue: