class_docstr: Dropout layer.
  
  :param dropout: Sets a dropout value for dense layer.
class_docstr_tok: ["Dropout","layer",".",":","param","dropout",":","Sets","a","dropout","value","for","dense","layer","."]
code: def forward(self, features: Dict[str, Tensor]):
      features.update(
          {
              "sentence_embedding": self.dropout_layer(
                  features["sentence_embedding"]
              )
          }
      )
      return features
  
file_path: sentence-transformers/sentence_transformers/models/Dropout.py
imports: from torch import Tensor
  from torch import nn
  from typing import Dict
  import os
  import json
label_desc: Use image node_id 2 for calling the Dropout obj's underlying member method code with example usage: obj.forward(features) and returns: features