code: def _get_convert_map():
      return {
          # caffe2 common operators
          "Add": Add.get_converter(),
          "Sum": Sum.get_converter(),
          "Mul": Mul.get_converter(),
          "Softmax": Softmax.get_converter(),
          # nn
          "AveragePool": AveragePool.get_converter(),
          "MaxPool": MaxPool.get_converter(),
          "Conv": Conv.get_converter(),
          "ConvTranspose": ConvTranspose.get_converter(),
          "Concat": Concat.get_converter(),
          "FC": FC.get_converter(),
          "SpatialBN": SpatialBN.get_converter(),
          "ResizeNearest": ResizeNearest.get_converter(),
          "Relu": AttrCvt("relu", {}, ignores=["order"]),
          "Sigmoid": Renamer("sigmoid"),
          "Dropout": AttrCvt(
              "dropout", {"ratio": "rate"}, ignores=["is_test"]
          ),
          # c2 image preprocessing ops
          "NormalizePlanarYUV": NormalizePlanarYUV.get_converter(),
      }
  
imports: import tvm
  from tvm.ir import IRModule
  from ..None import analysis
  from ..None import expr
  from ..None import function
  from ..None import op
  from ...None import nd
  from .common import AttrCvt, Renamer
  from .common import get_relay_op, new_var, infer_channels
label_desc: Use image node_id 5 for calling a global function with example usage: _get_convert_map() and returns: dict