code: def setUp(self):
      super(EMATensorNormalizerTest, self).setUp()
      tf.compat.v1.reset_default_graph()
      self._tensor_spec = tensor_spec.TensorSpec([3], tf.float32, "obs")
      self._tensor_normalizer = tensor_normalizer.EMATensorNormalizer(
          tensor_spec=self._tensor_spec
      )
      self._dict_tensor_spec = {
          "a": self._tensor_spec,
          "b": self._tensor_spec,
      }
      self._dict_tensor_normalizer = (
          tensor_normalizer.EMATensorNormalizer(
              tensor_spec=self._dict_tensor_spec
          )
      )
      self.evaluate(tf.compat.v1.global_variables_initializer())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import tensor_normalizer
label_desc: Use image node_id 1 for calling the EMATensorNormalizerTest obj's underlying member method code with example usage: obj.setUp() without return types