code: def embed_check_nonnegative_integer_form(
      x,
      atol=None,
      rtol=None,
      name="embed_check_nonnegative_integer_form",
  ):
      """Assert x is a non-negative tensor, and optionally of integers."""
      with tf.name_scope(name):
          x = tf.convert_to_tensor(x, name="x")
          return with_dependencies(
              assert_nonnegative_integer_form(x, atol=atol, rtol=rtol),
              x,
          )
  
imports: import functools
  import hashlib
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 18 for calling a global function with example usage: embed_check_nonnegative_integer_form(x, atol, rtol, name) and returns: with_dependencies