code: def _most_general_type_spec(elem):
      """Returns the most general TypeSpec for elem."""
      if isinstance(elem, composite_tensor.CompositeTensor):
          try:
              spec = elem._shape_invariant_to_type_spec(
                  tensor_shape.TensorShape(None)
              )  # pylint: disable=protected-access
          except NotImplementedError:
              spec = type_spec.type_spec_from_value(elem)
      else:
          spec = type_spec.type_spec_from_value(elem)
          if isinstance(spec, tensor_spec.TensorSpec):
              spec = tensor_spec.TensorSpec(None, spec.dtype)
      return spec
  
imports: import re
  from tensorflow.python.autograph.core import ag_ctx
  from tensorflow.python.autograph.impl import api
  from tensorflow.python.eager import context
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import nest
  from tensorflow.python.util import variable_utils
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling a global function with example usage: _most_general_type_spec(elem) and returns: spec