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codeflash-ai bot added a commit that referenced this pull request Apr 17, 2025
…rt-1175-depth-estimation-workflow-block`)

To optimize the given Python program, we can make several improvements, mainly focusing on reducing the time spent in the `add_model` method. This includes reducing the repetitive calls to the `logger.debug` method and streamlining the model registration process. Below are the optimized versions of the classes.



### Changes and Optimizations.
1. **Improved Error Handling in `get_model`**.
   - Replaced the `if` statement with a `try-except` block to catch `KeyError` directly, which is more efficient than checking and then accessing the dictionary.

2. **Reduced Logger Calls in `add_model`**.
   - Moved the logger debug statements to only occur at necessary points, avoiding redundant calls.
   - Combined the final log message into one call rather than multiple scattered calls during the process.

3. **Streamlined Model Initialization in `add_model`**.
   - Pulled the model class retrieval and initialization outside the logger debug call to minimize calculation duplication, focusing on reducing lookup overhead.

By reducing the number of logger debug calls, and optimizing model checks and retrievals, the overall performance of the `add_model` method is improved.
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codeflash-ai bot commented Apr 17, 2025

⚡️ Codeflash found optimizations for this PR

📄 25% (0.25x) speedup for ModelManager.add_model in inference/core/managers/base.py

⏱️ Runtime : 2.12 milliseconds 1.70 millisecond (best of 42 runs)

I created a new dependent PR with the suggested changes. Please review:

If you approve, it will be merged into this PR (branch revert-1175-depth-estimation-workflow-block).

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