from netspresso import NetsPresso
from netspresso.enums import QuantizationPrecision
netspresso = NetsPresso(email="YOUR_EMAIL", password="YOUR_PASSWORD")
quantizer = netspresso.quantizer()
recommendation_metadata = quantizer.get_recommendation_precision(
input_model_path="./examples/sample_models/test.onnx",
output_dir="./outputs/quantized/automatic_quantization",
dataset_path="./examples/sample_datasets/pickle_calibration_dataset_128x128.npy",
weight_precision=QuantizationPrecision.INT8,
activation_precision=QuantizationPrecision.INT8,
threshold=0,
)
recommendation_precisions = quantizer.load_recommendation_precision_result(recommendation_metadata.recommendation_result_path)