code: def serialize_many_sparse_tensors(tensors):
      """Serializes many sparse tensors into a batch.
  
      Args:
        tensors: a tensor structure to serialize.
  
      Returns:
        `tensors` with any sparse tensors replaced by the serialized batch.
      """
  
      ret = nest.pack_sequence_as(
          tensors,
          [
              sparse_ops.serialize_many_sparse(
                  tensor, out_type=dtypes.variant
              )
              if sparse_tensor.is_sparse(tensor)
              else tensor
              for tensor in nest.flatten(tensors)
          ],
      )
      return ret
  
file_path: tensorflow-upstream/tensorflow/python/data/util/sparse.py
imports: from tensorflow.python.data.util import nest
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import sparse_ops
label_desc: Use image node_id 6 for calling a global function with example usage: serialize_many_sparse_tensors(tensors) and returns: ret