class_docstr: Converts a transform that has the signature ``(tape -> Sequence(tape), fn)`` to a transform dispatcher
  that can act on :class:`pennylane.tape.QuantumTape`, quantum function, :class:`pennylane.QNode`,
  :class:`pennylane.devices.Device`.
  
  .. warning::
  
      This class is developer-facing and should not be used directly. Instead, use
      :func:`qml.transform <pennylane.transform>` if you would like to make a custom
      transform.
  
  .. seealso:: :func:`~.pennylane.transform`
class_docstr_tok: ["Converts","a","transform","that","has","the","signature","``","(","tape","-",">","Sequence","(","tape",")",",","fn",")","``","to","a","transform","dispatcher","that","can","act","on",":","class",":","`","pennylane.tape.QuantumTape","`",",","quantum","function",",",":","class",":","`","pennylane.QNode","`",",",":","class",":","`","pennylane.devices.Device","`",".","..","warning",":",":","This","class","is","developer-facing","and","should","not","be","used","directly",".","Instead",",","use",":","func",":","`","qml.transform","<","pennylane.transform",">","`","if","you","would","like","to","make","a","custom","transform",".","..","seealso",":",":",":","func",":","`","~.pennylane.transform","`"]
code: def __repr__(self):
      return f"<transform: {self._transform.__name__}>"
  
imports: import functools
  import os
  import copy
  import warnings
  import types
  import pennylane
label_desc: Use image node_id 4 for calling the TransformDispatcher obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str