code: def sinc(x, name=None):
      """Calculate the (normalized) sinus cardinalis of x."""
      name = name or "sinc"
      with tf.name_scope(name):
          x = np.pi * x
          return tf.where(x != 0.0, tf.math.sin(x) / x, 1.0)
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import logistic
  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
label_desc: Use image node_id 1 for calling a global function with example usage: sinc(x, name) and returns: tf