Fixed cache diffusion ci/cd

[jingyu-ml]

What does this PR do?

Type of change: Minor code change

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Additional Information

Summary by CodeRabbit

• Chores
  • Restricts the transformers version used by the cache diffusion example to below 4.57.
  • Improves out-of-the-box setup for the cache diffusion example by tightening example dependency constraints.
  • No changes to core application behavior; impact limited to example environment configuration.

[coderabbitai]

Walkthrough

Adds a single dependency constraint line transformers<4.57 to examples/diffusers/cache_diffusion/requirements.txt; no other files or code paths changed.

Changes

Cohort / File(s)	Summary
Requirements edit examples/diffusers/cache_diffusion/requirements.txt	Appended a constraint: transformers<4.57 after sentencepiece. No deletions or other edits.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Poem

I hop through lines and plant a seed,
A tiny cap on versions we need.
transformers trimmed, neat and small,
No other files touched at all—🐇✨

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check	✅ Passed	The title succinctly captures the primary purpose of the changeset by indicating a fix to the CI/CD process for the cache diffusion example, which aligns with the added dependency constraint aimed at resolving build issues in that workflow.
Docstring Coverage	✅ Passed	No functions found in the changes. Docstring coverage check skipped.

✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch jingyux/cache.diffusion.cicd.fixed

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Reviewing files that changed from the base of the PR and between 041b748 and 0559a73.

📒 Files selected for processing (1)

• examples/diffusers/cache_diffusion/requirements.txt (1 hunks)

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🔇 Additional comments (1)

examples/diffusers/cache_diffusion/requirements.txt (1)

6-6: LGTM on the pin.

The <4.57 upper bound neatly guards us until the upstream diffusers fix lands; no further issues spotted.

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Actionable comments posted: 1

📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 99c44d3 and 3512d83.

📒 Files selected for processing (1)

• examples/diffusers/cache_diffusion/requirements.txt (1 hunks)

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (3)

• GitHub Check: linux
• GitHub Check: code-quality
• GitHub Check: build-docs

🔇 Additional comments (1)

examples/diffusers/cache_diffusion/requirements.txt (1)

7-7: Confirm the exact transformers version.

Double-check that a release tagged 4.49 exists; Hugging Face typically publishes patch-qualified versions (e.g., 4.49.0). If only 4.49.0 is available, please pin to that exact tag.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 73.38%. Comparing base (9e64f81) to head (0559a73).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #426   +/-   ##
=======================================
  Coverage   73.38%   73.38%           
=======================================
  Files         180      180           
  Lines       17934    17934           
=======================================
  Hits        13160    13160           
  Misses       4774     4774           

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[kevalmorabia97]

Can we think of a better solution with correctly passing model kwargs instead of pinning to a lower version?

[kevalmorabia97]

I think we only need transformers<4.57 since fix is merged in huggingface/diffusers#12438 and will be included in next 0.36 diffusers release after which we remove transformers pinned version and instead pin diffusers>=0.36.0

[jingyu-ml]

Thanks, I’ve updated it. I’ll make another update once the new version is released.

[kevalmorabia97]

Test passing now: https://gitlab-master.nvidia.com/omniml/modelopt/-/jobs/220234687