class_docstr: The prompt encoder network that is used to generate the virtual 
  token embeddings for p-tuning.
code: def clear_inference_table(
      self,
  ):
      self.inference_table.clear_prompt_table()
  
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 PromptEncoder obj's underlying member method code with example usage: obj.clear_inference_table() without return types