code: def add_quant_params(params, quant_params):
      """Add quant parameters to TVM param map"""
      for qparam in quant_params.values():
          params[qparam.weight_var.name_hint] = tvm.nd.array(
              qparam.weight
          )
          if qparam.bias is not None:
              params[qparam.bias_var.name_hint] = tvm.nd.array(
                  qparam.bias
              )
  
imports: import numpy
  import tvm
  from tvm import relay
  from tvm.relay import expr
  from tvm.relay import op
  from tvm.relay.frontend.common import infer_shape
  from .common import logger
  from .pytorch_utils import is_version_greater_than
label_desc: Use image node_id 13 for calling a global function with example usage: add_quant_params(params, quant_params) without return types