zero-mAP fix 3

[glenn-jocher]

Signed-off-by: Glenn Jocher [email protected]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Improvement in EMA update mechanism within the YOLOv5 model utility functions.

📊 Key Changes

• Removed the @smart_inference_mode() decorator from the EMA update function.
• Modified the assert statement in EMA update to ensure the data types of the model and EMA weights are both in FP32 after detaching the model state dict.

🎯 Purpose & Impact

• 🛠️ The removal of @smart_inference_mode() likely aims to improve code simplicity and reduce potential issues with context management that might have occurred.
• 🧐 Adjusting the assertion for FP32 consistency helps to enforce that EMA updates are processed in a standard floating-point format, ensuring compatibility and consistency in calculations.
• ✅ These changes can lead to a more robust EMA update process, potentially improving the model's performance and reliability for the end-users.

Note: EMA stands for Exponential Moving Average, which is a technique to update model weights to stabilize training. FP32 refers to 32-bit floating-point data type.