code: def _get_cdf_pdf(c):
      dtype = dtype_util.as_numpy_dtype(c.dtype)
      d = normal_lib.Normal(dtype(0), 1)
      return d.cdf, d.prob
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.math import special
label_desc: Use image node_id 3 for calling a global function with example usage: _get_cdf_pdf(c) and returns: d,  d