code: def TranslateDropout(layer, pretrained_blobs, is_test, **kwargs):
      caffe_op = BaseTranslate(layer, "Dropout")
      caffe_op.output.extend(["_" + caffe_op.output[0] + "_mask"])
      param = layer.dropout_param
      AddArgument(caffe_op, "ratio", param.dropout_ratio)
      if is_test:
          AddArgument(caffe_op, "is_test", 1)
      return caffe_op, []
  
imports: import argparse
  import copy
  import logging
  import re
  import numpy
  from caffe2.proto import caffe2_pb2, caffe2_legacy_pb2
  from caffe.proto import caffe_pb2
  from caffe2.python import core, utils, workspace
  from google.protobuf import text_format
label_desc: Use image node_id 26 for calling a global function with example usage: TranslateDropout(layer, pretrained_blobs, is_test) and returns: caffe_op,  list