code: def make_qnn_param(qweight, bias):
      weight_np, scale, zero_point = _get_quant_params(qweight)
      return QNNParam(weight_np, bias, scale, zero_point)
  
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 2 for calling a global function with example usage: make_qnn_param(qweight, bias) and returns: QNNParam