code: def is_sparse(x):
      """Check whether `x` is sparse.
  
      Check whether an object is a `tf.sparse.SparseTensor` or
      `tf.compat.v1.SparseTensorValue`.
  
      Args:
        x: A python object to check.
  
      Returns:
        `True` iff `x` is a `tf.sparse.SparseTensor` or
        `tf.compat.v1.SparseTensorValue`.
      """
      return isinstance(x, (SparseTensor, SparseTensorValue))
  
imports: import collections
  import numpy
  from tensorflow.core.protobuf import struct_pb2
  from tensorflow.python import pywrap_tensorflow
  from tensorflow.python import tf2
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import override_binary_operator
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.framework import type_spec_registry
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.types import internal
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 2 for calling a global function with example usage: is_sparse(x) and returns: isinstance