Intermediate Examples

These examples build upon the basics and show how to extend FusionBench for more advanced use cases.

• Customize Algorithm

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  Learn how to implement your own fusion algorithm in FusionBench.

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• Assess Model Performance

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  Monitor and analyze model performance during algorithm execution with profiling tools.

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• Select Logger

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  Configure experiment tracking with TensorBoard, Wandb, MLFlow, CSV, or SwanLab.

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Prerequisites

Before diving into these examples, make sure you:

1. Completed the Basic Examples
2. Understand the Structured Configs
3. Have run at least one fusion experiment with the CLI