class_docstr: Holds the precomputed values of a `GraphNode` from a previous training.
  
  Pre-computed values can either be
  - values loaded from cache
  - values which were provided during the fingerprint run by input nodes
docstr: Initializes a `PrecomputedValueProvider`.
  
  Args:
      output: The precomputed output to return.
docstr_tok: ["Initializes","a","`","PrecomputedValueProvider","`",".","Args",":","output",":","The","precomputed","output","to","return","."]
code: def __init__(self, output: Cacheable):
      """Initializes a `PrecomputedValueProvider`.
  
      Args:
          output: The precomputed output to return.
      """
      self._output = output
  
imports: from __future__ import annotations
  from typing import Any, Dict, Optional, Text, Type
  import dataclasses
  import uuid
  from rasa.engine.caching import Cacheable, TrainingCache
  from rasa.engine.graph import ExecutionContext, GraphComponent, SchemaNode
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.engine.training import fingerprinting
label_desc: Use image node_id 1 to create a new PrecomputedValueProvider object from inherited base classes: GraphComponent with example: obj = PrecomputedValueProvider(output)