code: def setUp(self):
      super().setUp()
      # Create mapping between TensorFlow quantized types and numpy types.
      self._quint8 = np.dtype([("quint8", np.uint8)])
      self._qint8 = np.dtype([("qint8", np.int8)])
      self._qint32 = np.dtype([("qint32", np.int32)])
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the PadOpTest obj's underlying member method code with example usage: obj.setUp() without return types