Fix mypy issues

[yutong-xiang-97]

What has changed and why?

Fix new mypy issues with the newer mypy version by adding type: ignore

How has it been tested?

running make static-checks

Did you update CHANGELOG.md?

• Yes
• Not needed (internal change)

Did you update the documentation?

• Yes
• Not needed (internal change without effects for user)

[chatgpt-codex-connector]

Codex usage limits have been reached for code reviews. Please check with the admins of this repo to increase the limits by adding credits.
Credits must be used to enable repository wide code reviews.

[Copilot]

Pull request overview

This PR updates type annotations to resolve new mypy failures introduced by a newer mypy version, primarily around learning-rate scheduler return types and downstream learning-rate computations.

Changes:

• Update the custom TwoStageWarmupPolySchedule.get_lr() return type (and lrs list annotation) to allow float | Tensor.
• Adjust get_current_learning_rate() to safely handle schedulers that may return tensor learning rates by converting scalar tensors to float.

Reviewed changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
src/lightly_train/_task_models/dinov3_eomt_semantic_segmentation/scheduler.py	Broaden scheduler get_lr() typing to `float
src/lightly_train/_task_models/dinov3_eomt_panoptic_segmentation/scheduler.py	Same typing adjustment for the panoptic variant scheduler.
src/lightly_train/_task_models/dinov3_eomt_instance_segmentation/scheduler.py	Same typing adjustment for the instance variant scheduler.
src/lightly_train/_task_models/dinov2_eomt_semantic_segmentation/scheduler.py	Same typing adjustment for the DINOv2 semantic scheduler.
src/lightly_train/_task_models/dinov2_eomt_panoptic_segmentation/scheduler.py	Same typing adjustment for the DINOv2 panoptic scheduler.
src/lightly_train/_task_models/dinov2_eomt_instance_segmentation/scheduler.py	Same typing adjustment for the DINOv2 instance scheduler.
src/lightly_train/_commands/train_task_helpers.py	Convert potential tensor LR values to float before computing/logging the current LR.

[yutong-xiang-97]

/review