class_docstr: Stub for tf.TensorSpec to simplify tests in np/jax backends.
code: def __repr__(self):
      return "TensorSpec(shape={}, dtype={}, name={})".format(
          self.shape, self.dtype, self.name
      )
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import half_cauchy
  from tensorflow_probability.python.distributions import joint_distribution_auto_batched
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import nest_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow.python.util import nest
label_desc: Use image node_id 5 for calling the TensorSpec obj's underlying member method code with example usage: obj.__repr__() and returns: str