def METHOD_NAME(model_name, rec_val, batch_size, calibration_samples):
    val_data, _ = get_val_data(model_name, rec_val=rec_val, batch_size=batch_size)
    val_data.reset()
    for i, batch in enumerate(val_data):
        if i * batch_size >= calibration_samples:
            break
        data = batch.data[0].asnumpy()
        yield {"data": data}