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docs(scheduler): document per-pod scoring weights - #759

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blackdragoon26:docs/device-scoring-weights
Sep 14, 2026
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docs(scheduler): document per-pod scoring weights#759
mesutoezdil merged 8 commits into
Project-HAMi:masterfrom
blackdragoon26:docs/device-scoring-weights

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@blackdragoon26

@blackdragoon26 blackdragoon26 commented Aug 11, 2026

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What type of PR is this?
/kind documentation

What this PR does / why we need it:

Documents the per-Pod device-scoring weights introduced by Project-HAMi/HAMi#2469.

This update:

  • documents the hami.io/device-scoring-weights annotation
  • explains defaults, admission-webhook rejection of invalid annotations, and scheduler-side validation
  • provides a complete Pod manifest
  • documents the weighted slot/core/memory formula
  • includes a checked example showing how weights affect device selection
  • clarifies interaction with binpack, spread, topology, mutex, capacity checks, and vendor-specific Fit behavior
  • updates the existing default GPU scoring examples to include virtual-device slot utilisation

Project-HAMi/HAMi#2469 and its admission-validation follow-up Project-HAMi/HAMi#2827 are merged.

Which issue(s) this PR fixes:

Fixes #758

The corresponding Chinese documentation is included in this PR.

Checklist:

  • npm run lint and npm run format:check pass
  • npm run build succeeds for both en and zh
  • Chinese translation updated if English docs changed (or noted why not)
  • Commits are signed off (git commit -s)

AI Disclosure:
Codex was used to cross-check the implementation semantics and calculations, and to help draft the documentation. I reviewed and verified the final content and test results.

Summary by CodeRabbit

Documentation

  • Documented configurable GPU device-scoring weights for virtual-device slots, cores, and memory utilization.
  • Added annotation format, default values, validation requirements, and scoring examples.
  • Clarified that invalid configurations prevent scheduling until corrected, including admission webhook behavior.
  • Updated GPU binpack and spread formulas to include virtual-device slot utilization.
  • Confirmed that existing fit and topology constraints take precedence.
  • Added corresponding guidance in English and Chinese documentation.

Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>
@hami-robot hami-robot Bot added kind/documentation Improvements or additions to documentation dco-signoff: yes labels Aug 11, 2026
@hami-robot
hami-robot Bot requested review from rootsongjc and windsonsea August 11, 2026 13:15
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Welcome @blackdragoon26! It looks like this is your first PR to Project-HAMi/website 🎉

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📝 Walkthrough

Walkthrough

The documentation adds the hami.io/device-scoring-weights annotation for slot, core, and memory utilization. It defines validation, defaults, scoring behavior, and unchanged constraints. GPU binpack and spread examples now include virtual-device slot utilization in English and Chinese guides.

Changes

GPU scoring documentation

Layer / File(s) Summary
Scoring contract and policy formulas
docs/developers/scheduling.md, docs/userguide/configure.md, i18n/zh/docusaurus-plugin-content-docs/current/developers/scheduling.md, i18n/zh/docusaurus-plugin-content-docs/current/userguide/configure.md
Documents the annotation format, validation rules, defaults, weighted scoring, and unchanged scheduling constraints. Updates binpack and spread formulas and examples to include virtual-device slot utilization.

Priority: ⬇️ Low

Estimated code review effort: 1 (Trivial) | ~5 minutes

Change: Other

Merge Risk: 🔵 Low · up to e9185

The documentation is otherwise ready, but both list markers should be corrected to keep the repository lint checks passing.

🚥 Pre-merge checks | ✅ 5
✅ Passed checks (5 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title clearly and concisely describes the main change: documenting per-Pod scheduler scoring weights.
Linked Issues check ✅ Passed The changes satisfy the coding requirements in [#758]. The English and Chinese scheduling guides document the annotation format, absent-annotation default slot=1,core=1,memory=1, validation rules, w…
Out of Scope Changes check ✅ Passed The changes remain within [#758]. The user-guide table entries support the requested annotation documentation. The updated GPU scoring formulas, examples, numbering, and Chinese translation directly s…
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff. Analyzed 0 functions across 0…
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@FouoF FouoF left a comment

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The doc seem placing incorrect. This is a user-face change so it should update or draft a user guide instead of developer doc. Also better add a Chinese version.

@blackdragoon26

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The doc seem placing incorrect. This is a user-face change so it should update or draft a user guide instead of developer doc. Also better add a Chinese version.

Thanks for the review.
my bad on that part, I will do fixing on it quickly.

@blackdragoon26

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@FouoF , sorry to ping you again
I am bit confused that since HAMi#2469 implements this in the generic device-scoring path,
So should I create a general user-guide page, or
add it to the existing NVIDIA scheduling-policy page because the example uses NVIDIA resources?
Honestly, I am leaning toward a general page to avoid implying the feature is NVIDIA-only.

@blackdragoon26

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@FouoF , sorry to ping you again I am bit confused that since HAMi#2469 implements this in the generic device-scoring path, So should I create a general user-guide page, or add it to the existing NVIDIA scheduling-policy page because the example uses NVIDIA resources? Honestly, I am leaning toward a general page to avoid implying the feature is NVIDIA-only.

Re-pinging for the same

@blackdragoon26

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@FouoF @rootsongjc @windsonsea @fishman
Sorry to disturb you maintainers,
I just wanted to bring this issue in your pings again,
Since technical PR has been merged, I just felt the urgency to get Docs PR merged for this as well.

Regards

@FouoF , sorry to ping you again I am bit confused that since HAMi#2469 implements this in the generic device-scoring path, So should I create a general user-guide page, or add it to the existing NVIDIA scheduling-policy page because the example uses NVIDIA resources? Honestly, I am leaning toward a general page to avoid implying the feature is NVIDIA-only.

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checked all four worked examples, the math is right. upstream hami 2469 merged on aug 17, so this can move forward, please add the promised zh translation. small note: the checklist marks the zh box even though the body says it is deferred.

Comment thread docs/developers/scheduling.md
Comment thread docs/developers/scheduling.md
Comment thread docs/developers/scheduling.md
@blackdragoon26

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checked all four worked examples, the math is right. upstream hami 2469 merged on aug 17, so this can move forward, please add the promised zh translation. small note: the checklist marks the zh box even though the body says it is deferred.

Thanks for review, I will add zsh translation.
About the checklist, I intentionally ticked the box since I explained the "why not added" part in the description, hence thought, that should work.
Please do correct me, if this was not the right approach.
Regards

Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>
rootsongjc added a commit to rootsongjc/hami-website that referenced this pull request Aug 22, 2026
The snapshot was cut before the v2.10 feature documentation PRs
(Project-HAMi#794, Project-HAMi#734, Project-HAMi#759, Project-HAMi#775) merged, so it described v2.9 behavior for
flagship features. Keep only the changelog and the homepage release
badge for now; re-cut the snapshot once those PRs land.

Signed-off-by: Jimmy Song <jimmy@dynamia.ai>
@blackdragoon26
blackdragoon26 requested a review from FouoF August 25, 2026 20:31
Comment thread docs/developers/scheduling.md Outdated
)
```

The annotation must contain the `slot`, `core`, and `memory` keys. Each value must be a non-negative integer, and at least one value must be greater than zero. Key order and surrounding whitespace do not matter. If the annotation is absent, HAMi uses `slot=1,core=1,memory=1`, which preserves the default scoring behavior. An invalid annotation prevents the Pod from being scheduled until the annotation is corrected.

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upstream scheduler-policy.md says the admission webhook rejects an invalid annotation at pod creation. that is not the same as the pod staying pending. should this line say rejected instead?

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Yes, you are right, i will correct this for both eng and zh doc

Comment thread docs/developers/scheduling.md
image: ubuntu:22.04
command: ["bash", "-c", "sleep 86400"]
resources:
limits:

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checked against pkg/scheduler/policy/gpu_policy.go:217-220 and util.Weight is 10, so the three term formula and the 7.75 and 18.75 figures are right.

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Yess, thanks for verifying as well

Comment thread docs/developers/scheduling.md
Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>

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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
In `@docs/developers/scheduling.md`:
- Line 167: Update the scheduling documentation’s invalid-annotation behavior to
state that, when admission validation is unavailable, the scheduler returns a
validation error and the Pod remains unschedulable until the annotation is
corrected, distinguishing this from API rejection.

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Comment thread docs/developers/scheduling.md Outdated
Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>
Comment thread docs/developers/scheduling.md Outdated

```text
GPU1 Score: ((20+10)/100 + (1000+2000)/8000)) * 10 = 6.75
GPU1 Score: ((1+0)/10 + (20+10)/100 + (1000+2000)/8000) * 10 = 7.75

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Based on the current implementation, shouldn’t used.slot also be at least 1, for example (1+1)/10?

https://github.com/Project-HAMi/HAMi/blob/b5ec6b143a322e33a7ace339dff840cccb2e55ac/pkg/scheduler/scheduler.go#L808-L812

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the code uses max(udevice.Slots, 1) for each existing allocation, so used.slot cannot be 0 here.

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oh you are right, used.slot should be at least 1 here. will correct it
thanks for the proof link and review!

Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>
GPU1 Score: ((1+1)/10 + (20+10)/100 + (1000+2000)/8000) * 10 = 8.75
```

1. Binpack scoring information for GPU 2 is as follows

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The ordered list here should start with 2., and the same applies to the items below.

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fixed now

Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>

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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.

Inline comments:
In `@docs/developers/scheduling.md`:
- Line 196: Update the second Binpack list entry in both scheduling documents to
use the `1.` marker, preserving the existing list content and satisfying the
configured MD029 numbering style.

After applying the fix, consider running `coderabbit review --agent` for local
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Comment thread docs/developers/scheduling.md Outdated
Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>
Signed-off-by: blackdragoon26 <sankalp.jha9643@gmail.com>
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lgtm

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LGTM. Re-verified every claim against upstream HAMi master:

  • annotation key hami.io/device-scoring-weights matches pkg/util/types.go
  • parsing rules (all three keys required, non-negative integers, at least one positive, order and whitespace free) match ParseDeviceScoringWeights
  • default slot=1,core=1,memory=1 matches DefaultDeviceScoringWeights
  • the formula matches ComputeScore in pkg/scheduler/policy/gpu_policy.go with util.Weight = 10
  • webhook rejection only for pods requesting a HAMi resource matches webhook.go
  • scheduler-side rejection matches calcScoreWithOptions in score.go
  • all four worked examples recompute correctly (8.75, 19.75, 16/15, 26/27)

Chinese version is in and CI is green. Thanks for the follow-through.

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[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by: blackdragoon26, mesutoezdil
Once this PR has been reviewed and has the lgtm label, please assign archlitchi for approval. For more information see the Kubernetes Code Review Process.

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@mesutoezdil
mesutoezdil merged commit 08e3b4a into Project-HAMi:master Sep 14, 2026
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docs: document per-Pod device scoring weights

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