code: def to_dlpack(tf_tensor):
      """Returns the dlpack capsule representing the tensor.
  
      This operation ensures the underlying data memory is ready when returns.
  
        ```python
        a = tf.tensor([1, 10])
        dlcapsule = tf.experimental.dlpack.to_dlpack(a)
        # dlcapsule represents the dlpack data structure
        ```
  
      Args:
        tf_tensor: Tensorflow eager tensor, to be converted to dlpack capsule.
  
      Returns:
        A PyCapsule named as dltensor, which shares the underlying memory to other
         framework. This PyCapsule can be consumed only once.
      """
      return pywrap_tfe.TFE_ToDlpackCapsule(tf_tensor)
  
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 1 for calling a global function with example usage: to_dlpack(tf_tensor) and returns: pywrap_tfe