code: def from_dlpack(dlcapsule):
      """Returns the Tensorflow eager tensor.
  
      The returned tensor uses the memory shared by dlpack capsules from other
      framework.
  
        ```python
        a = tf.experimental.dlpack.from_dlpack(dlcapsule)
        # `a` uses the memory shared by dlpack
        ```
  
      Args:
        dlcapsule: A PyCapsule named as dltensor
  
      Returns:
        A Tensorflow eager tensor
      """
      context.context().ensure_initialized()
      return pywrap_tfe.TFE_FromDlpackCapsule(
          dlcapsule, context.context()._handle
      )
  
imports: from tensorflow.python import pywrap_tfe
  from tensorflow.python.eager import context
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 2 for calling a global function with example usage: from_dlpack(dlcapsule) and returns: pywrap_tfe