I was able to quantize the model using cloud compiler on degerium ai hub. But the model does not perform well.Is there any piece of documentation that allows us to tweak the parameters during compilation. like when i wa susing hailo_sdk_client to quantize the mode, it would go something like:
alls = “”“normalization1 = normalization([0.0, 0.0, 0.0], [255.0, 255.0, 255.0])change_output_activation(conv74, sigmoid)change_output_activation(conv90, sigmoid)change_output_activation(conv105, sigmoid)nms_postprocess(“/local/shared_with_docker/nms_config/nms_layer_config_yolo11m.json”, meta_arch=yolov8, engine=cpu)model_optimization_config(calibration, batch_size=1)performance_param(compiler_optimization_level=max)“””
performance_param(compiler_optimization_level=max) - To achieve optimal performance, set the compiler_optimization_level to “max”
post_quantization_optimization(finetune, policy=enabled, learning_rate=0.00001)
resources_param(max_apu_utilization=0.8, max_compute_16bit_utilization=0.8, max_compute_utilization=0.8, max_control_utilization=0.8, max_input_aligner_utilization=0.8, max_memory_utilization=0.8, max_utilization=0.0)
model_optimization_flavor(optimization_level=0)
runner.load_model_script(alls)runner.optimize_full_precision()
How can i debug compilation using degerium. does pysdk for it support it?