Remove optimizer in stfpm recipe

[eunwoosh]

Summary

Currently, stfpm model doesn't get optimizer as argument and uses own way to initialize optimizer as below.

class Stfpm(OTXAnomaly, OTXModel, AnomalibStfpm):
    def __init__(
        self,
        layers: Sequence[str] = ["layer1", "layer2", "layer3"],
        backbone: str = "resnet18",
        task: Literal[
            OTXTaskType.ANOMALY_CLASSIFICATION,
            OTXTaskType.ANOMALY_DETECTION,
            OTXTaskType.ANOMALY_SEGMENTATION,
        ] = OTXTaskType.ANOMALY_CLASSIFICATION,
        **kwargs,
    ) -> None:
    ...
    def configure_optimizers(self) -> tuple[list[Optimizer], list[Optimizer]] | None:
        """STFPM does not follow OTX optimizer configuration."""
        return AnomalibStfpm.configure_optimizers(self)

Due to that, when executing otx train --config .../stfpm.yaml --print_config, error is raised.
And changing optimizer values in recipe doesn't affect training also.
For these reasons, This PR removes optimizer from recipe.

How to test

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have ran e2e tests and there is no issues.
• I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).​
• I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
• I have linked related issues.

License

• I submit my code changes under the same Apache License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below).

# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 80.02%. Comparing base (2b00009) to head (04ad481).
Report is 1 commits behind head on develop.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3743      +/-   ##
===========================================
+ Coverage    79.97%   80.02%   +0.05%     
===========================================
  Files          252      252              
  Lines        25567    25567              
===========================================
+ Hits         20448    20461      +13     
+ Misses        5119     5106      -13     

Flag	Coverage Δ
py310	80.02% <ø> (+0.24%)	⬆️
py311	?

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[sovrasov]

cc @ashwinvaidya17