message: Some fixes to testInferenceInputType
diff: @@ -267,7 +267,8 @@ class FromSessionTest(test_util.TensorFlowTestCase):
  self.assertTrue(num_items_graphviz_video > num_items_graphviz)
  def testInferenceInputType(self):
  - in_tensor = array_ops.placeholder(shape=[1, 16, 16, 3], dtype=dtypes.uint8)
  + in_tensor = array_ops.placeholder(
  + shape=[1, 16, 16, 3], dtype=dtypes.float32)
  out_tensor = in_tensor + in_tensor
  sess = session.Session()
  @@ -286,14 +287,13 @@ class FromSessionTest(test_util.TensorFlowTestCase):
  self.assertEqual('Placeholder', input_details[0]['name'])
  self.assertEqual(np.uint8, input_details[0]['dtype'])
  self.assertTrue(([1, 16, 16, 3] == input_details[0]['shape']).all())
  - self.assertEqual((0., 0.), input_details[0]['quantization'])
  + self.assertEqual((1., 0.), input_details[0]['quantization'])
  output_details = interpreter.get_output_details()
  self.assertEqual(1, len(output_details))
  self.assertEqual('add', output_details[0]['name'])
  - self.assertEqual(np.uint8, output_details[0]['dtype'])
  + self.assertEqual(np.float32, output_details[0]['dtype'])
  self.assertTrue(([1, 16, 16, 3] == output_details[0]['shape']).all())
  - self.assertEqual((0., 0.), input_details[0]['quantization'])
  def testDefaultRangesStats(self):
  in_tensor = array_ops.placeholder(
  