…
[info] Model Optimization Algorithm Quantization-Aware Fine-Tuning is done (completion time is 00:15:36.66)
[info] Starting Layer Noise Analysis
Full Quant Analysis: 100%|██████████| 2/2 [08:42<00:00, 261.03s/iterations]
[info] Model Optimization Algorithm Layer Noise Analysis is done (completion time is 00:08:52.67)
[info] Model Optimization is done
[info] Saved HAR to: /workspace/work/yolov8x.har
[info] Loading model script commands to yolov8x from /workspace/hailo_model_zoo/hailo_model_zoo/cfg/alls/generic/yolov8x.alls
[info] To achieve optimal performance, set the compiler_optimization_level to “max” by adding performance_param(compiler_optimization_level=max) to the model script. Note that this may increase compilation time.
[error] Failed to produce compiled graph
[error] TypeError: expected str, bytes or os.PathLike object, not NoneType
Is there a way to set logging level to get more detail?
I’ve made sure that the number of classes in my case is 1011. This error is very generic and could be caused by a variety of possibilities. The error handling code should provide more specifics about what it’s actually parsing.
Does anyone know if there are debug/trace levels that can be set? It’s not even giving me a stack trace.
Check the format of your calibration data and what the model is expecting. It is luckily that the dataset is not fed the right way ( a dictionary that matches the export keys) if you share how you are feeding your calibration data i might be able to help better