input_type: INPUT_TYPE_ONNX
output_type: OUTPUT_TYPE_JOINT

# Hardware platform selection
target_hardware: TARGET_HARDWARE_AX620


# CPU
cpu_backend_settings {
    onnx_setting {
        mode: DISABLED
    }
    axe_setting {
        mode: ENABLED
        axe_param {
            optimize_slim_model: true
        }
    }
}

# mean/std needs to be filled in the order of BGR
# input_normalization {
#    mean: [0.485, 0.456, 0.406]  # mean
#    std: [0.229, 0.224, 0.255]   # std
#}

#Convert BGR cv2 to BGR
src_input_tensors {
    color_space: TENSOR_COLOR_SPACE_RGB
}

dst_input_tensors {
    color_space: TENSOR_COLOR_SPACE_RGB
}


neuwizard_conf {
    operator_conf {
        input_conf_items {
            attributes {
            	 type: FLOAT32   # Here it is agreed that the compiled model will have float32 as the input type
        }
    }
    }
    dataset_conf_calibration {
        path: "./../dataset/w600_mbf_tar_input.1.tar" # Set the path to the PTQ calibration dataset
        type: DATASET_TYPE_TAR
        size: 316 # Quantify the actual number of images used in the calibration process
        batch_size: 1
        }
   dataset_conf_error_measurement {
        path: "./../dataset/w600_mbf_tar_input.1.tar" # Set the path to the PTQ calibration dataset
        type: DATASET_TYPE_TAR        
	size: 4
   }

	evaluation_conf {
		path: "neuwizard.evaluator.error_measure_evaluator"
		type: EVALUATION_TYPE_ERROR_MEASURE
		source_ir_types: IR_TYPE_ONNX
		ir_types: IR_TYPE_LAVA
		score_compare_per_layer: true
   }   
}

pulsar_conf {
    ax620_virtual_npu: AX620_VIRTUAL_NPU_MODE_111
    batch_size: 1
    debug : false
}