def test_get_activation_calibration_stats_basic(self):
        """
        Calibration a floating point model with sample data.
        """
        sample_data = []
        for _ in range(3):
            input_data = np.random.rand(5, 10, 4, 4)
            sample_data.append({"data": input_data})

        mlmodel = self._get_test_mlmodel_conv_relu()
        _get_activation_calibration_stats(mlmodel, sample_data)

        Calibration a floating point model with sample data.
        
coremltools/optimize/coreml/experimental/test_post_training_quantization.py