Hey everyone,

Thanks for the previous suggestions on tackling the inference timeout issue in my vibration anomaly detection project. I implemented quantization to optimize the model, but now I’m encountering a new error:

**Error Message:**
“`
Quantization Error: Unsupported Layer Type in INT8 Conversion – Layer 5 (Depthwise Conv2D)
“`

It seems like the quantization process is failing specifically at Layer 5, which uses a Depthwise Conv2D operation.
What’s the best approach to handle layers that aren’t compatible with INT8 quantization? Should I consider retraining with a different architecture, or is there a workaround to manually adjust these layers?

Thanks in advance for your help!