class_docstr: A wrapper class that holds the output representations of the PromptEncoder Model. 
  At inference time we do not need to forward pass through the full PromptEncoder and can just use this class.
docstr: Returns the prompt representation cached in the prompt table
docstr_tok: ["Returns","the","prompt","representation","cached","in","the","prompt","table"]
code: def get_prompt_table(
      self,
  ):
      """
      Returns the prompt representation cached in the prompt table
      """
      return self.prompt_table[self.taskname].forward()
  
imports: import copy
  import enum
  from typing import Dict, Optional
  import torch
  import torch.nn.init
  from torch import nn
  from nemo.collections.nlp.modules.common.megatron.fused_bias_gelu import fused_bias_gelu
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults, init_method_normal
  from nemo.core.classes import Exportable, NeuralModule
  from nemo.core.classes.common import typecheck
label_desc: Use image node_id 3 for calling the InferenceTable obj's underlying member method code with example usage: obj.get_prompt_table() and returns: self