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📝 WalkthroughWalkthroughUpdates CI workflow matrices in Changes
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Actionable comments posted: 1
🧹 Nitpick comments (1)
.github/workflows/tests.yml (1)
380-380: Consider documenting why cleanup is pinned to Python 3.11.A short inline comment would make this intentional divergence clearer versus the newer unit-test Python lanes.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.github/workflows/tests.yml at line 380, Add a brief inline comment explaining why the cleanup job pins python_version: "3.11" (e.g., compatibility with a specific tool/fixture or avoiding a regression in newer Python versions) so reviewers understand this intentional divergence from the other unit-test Python lanes; update the cleanup job’s python_version: "3.11" line to include that short comment nearby referencing the reason.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Nitpick comments:
In @.github/workflows/tests.yml:
- Line 380: Add a brief inline comment explaining why the cleanup job pins
python_version: "3.11" (e.g., compatibility with a specific tool/fixture or
avoiding a regression in newer Python versions) so reviewers understand this
intentional divergence from the other unit-test Python lanes; update the cleanup
job’s python_version: "3.11" line to include that short comment nearby
referencing the reason.
.github/workflows/tests.yml
Outdated
| python_version: ["3.12", "3.14"] | ||
| pytorch_version: ["2.8.0", "2.9.1", "2.10.0"] | ||
| exclude: | ||
| - python_version: "3.12" | ||
| - python_version: "3.14" | ||
| pytorch_version: "2.8.0" | ||
| - python_version: "3.12" | ||
| pytorch_version: "2.9.0" | ||
| - python_version: "3.14" | ||
| pytorch_version: "2.9.1" |
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🧩 Analysis chain
🌐 Web query:
PyTorch 2.10.0 official torchvision version compatibility matrix Python 3.12 3.14
💡 Result:
- There is no “PyTorch 2.10.0” in the official torch↔torchvision compatibility tables (current stable table goes up to torch 2.9 / torchvision 0.24). [1]
Official torch ↔ torchvision ↔ Python compatibility (stable)
From the torchvision PyPI compatibility matrix: [1]
| torch | torchvision | Supported Python |
|---|---|---|
| 2.6 | 0.21 | >=3.9, <=3.12 |
| 2.7 | 0.22 | >=3.9, <=3.13 |
| 2.8 | 0.23 | >=3.9, <=3.13 |
| 2.9 | 0.24 | >=3.10, <=3.14 |
| nightly | nightly | >=3.10, <=3.14 |
What this means for your targets
- Python 3.12: use torch 2.6 + torchvision 0.21 (or newer rows that still include 3.12, e.g., torch 2.7/2.8/2.9). [1]
- Python 3.14: officially covered starting at torch 2.9 + torchvision 0.24 (or nightly). [1]
Sources: torchvision official PyPI compatibility table [1].
🏁 Script executed:
# Check the actual workflow file to verify the mentioned lines
cd .github/workflows && head -80 tests.yml | tail -30Repository: axolotl-ai-cloud/axolotl
Length of output: 1745
🏁 Script executed:
# Also check the wider context around the matrix definition
sed -n '50,70p' .github/workflows/tests.ymlRepository: axolotl-ai-cloud/axolotl
Length of output: 1745
Remove non-existent PyTorch 2.10.0 from the matrix and pin torchvision versions.
PyTorch 2.10.0 does not exist in official stable releases; the latest stable is 2.9. According to the official PyTorch compatibility matrix, use:
pytorch_version: ["2.8.0", "2.9.1"]- For Python 3.14 + PyTorch 2.9.1: pair with
torchvision==0.24 - For Python 3.12/3.13 + PyTorch 2.8.0: pair with
torchvision==0.23 - For Python 3.12/3.13 + PyTorch 2.9.1: pair with
torchvision==0.24
Add torchvision pinning to the matrix to avoid resolver drift and ensure reproducible CI runs.
Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
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