def METHOD_NAME(self):
    op = core.CreateOperator(
        'FloatToRowwiseQuantized8Bits',
        ['input_data'],
        ['quantized_input', 'scale_bias'])
    input_data = np.float32(np.asarray([[801., 786, 235.2, 2353.3434],
                                        [5., 11., 9., -2.]]))
    workspace.FeedBlob('input_data', input_data)
    workspace.RunOperatorOnce(op)
    op1 = core.CreateOperator(
        'Rowwise8BitQuantizedToFloat',
        ['quantized_input', 'scale_bias'],
        ['dequantized_input'])
    workspace.RunOperatorOnce(op1)
    result = workspace.FetchBlob('dequantized_input')
    ground_truth = FakeQuantization8BitsRowwise(input_data)
    np.testing.assert_array_almost_equal(
        result, ground_truth)