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@itrushkin itrushkin commented Oct 28, 2025

Summary

Adds support for downloading and using pretrained EfficientNet weights for models larger than B1 (B2-B8).

In pytorchcv, the “c” denotes the community re-trained EfficientNet variants (ported via https://www.github.com/rwightman/timm) that use PyTorch-native ops and shapes, distinct from the original TF-trained baselines.

Checklist

  • The PR title and description are clear and descriptive
  • I have manually tested the changes
  • All changes are covered by automated tests
  • All related issues are linked to this PR (if applicable)
  • Documentation has been updated (if applicable)

Warning

This PR may increase test runtime because it involves downloading large models.

@itrushkin itrushkin requested a review from a team as a code owner October 28, 2025 09:23
@github-actions github-actions bot added the TEST Any changes in tests label Oct 28, 2025
@itrushkin itrushkin changed the title Extend EfficientNet pretrained support to B2–B8 Extend EfficientNet pretrained support to B2-B8 Oct 28, 2025
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