code: def make_conv_packed_param(qweight, bias, packed_params):
      weight_np, scale, zero_point = _get_quant_params(qweight)
      stride = packed_params.stride()
      padding = packed_params.padding()
      dilation = packed_params.dilation()
      groups = packed_params.groups()
      output_padding = packed_params.output_padding()
      return ConvPackedParam(
          weight_np,
          bias,
          scale,
          zero_point,
          stride,
          padding,
          dilation,
          groups,
          output_padding,
      )
  
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 3 for calling a global function with example usage: make_conv_packed_param(qweight, bias, packed_params) and returns: ConvPackedParam