code: def TranslateReshape(layer, pretrained_blobs, is_test, **kwargs):
      caffe_op = BaseTranslate(layer, "Reshape")
      caffe_op.output.append("_" + caffe_op.input[0] + "_dims")
      reshape_param = layer.reshape_param
      AddArgument(caffe_op, "shape", reshape_param.shape.dim)
      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 36 for calling a global function with example usage: TranslateReshape(layer, pretrained_blobs, is_test) and returns: caffe_op,  list