code: def signature(self, *, batched):
      # Check whether underspecified
      if self.is_underspecified():
          raise TensorforceError.unexpected()
  
      # Add leading variable-dim axis if batched
      if batched:
          shape = (None,) + self.shape
      else:
          shape = self.shape
  
      # TensorFlow TensorSpec
      return tf.TensorSpec(
          shape=tf.TensorShape(dims=shape), dtype=self.tf_type()
      )
  
imports: from functools import total_ordering
  import numpy
  import tensorflow
  from tensorforce import TensorforceError, util
  from tensorforce.core.utils import tf_util
label_desc: Use image node_id 10 for calling the TensorSpec obj's underlying member method code with example usage: obj.signature() and returns: tf