code: def _composite_from_tensors(
      stacked_tensors, preconverted_value, batch_size
  ):
      """Converts a list of stacked tensors to a batch CompositeTensor."""
      if _should_expand_composite(preconverted_value):
          batch_type_spec = preconverted_value._type_spec._batch(
              batch_size
          )
          return batch_type_spec._from_compatible_tensor_list(
              stacked_tensors
          )
      return stacked_tensors
  
imports: import functools
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.autograph.core import ag_ctx
  from tensorflow.python.autograph.impl import api
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.ops.parallel_for.pfor import PFor
  from tensorflow.python.ops.parallel_for.pfor import PForConfig
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import nest
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util import variable_utils
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 7 for calling a global function with example usage: _composite_from_tensors(stacked_tensors, preconverted_value, batch_size) and returns: stacked_tensors, batch_type_spec