code: def as_shape(shape):
      """Converts the given object to a TensorShape."""
      if isinstance(shape, tensor_shape.TensorShape):
          return shape
      else:
          return tensor_shape.TensorShape(shape)
  
imports: import functools
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.keras.engine import base_layer
  from tensorflow.python.keras.utils import tf_contextlib
  from tensorflow.python.keras.utils import tf_inspect
  from tensorflow.python.module import module
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 1 for calling a global function with example usage: as_shape(shape) and returns: shape, tensor_shape