code: def quantized_add_relu(context, node):
      _process_binary(context, node, mb.add, add_relu=True)
  
imports: import numpy
  import torch
  from coremltools import _logger
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Var, types
  from .ops import NUM_TO_TORCH_DTYPE, _create_linear_layer, _get_inputs, promote_input_dtypes
  from .torch_op_registry import register_torch_op
label_desc: Use image node_id 17 for calling a global function with example usage: quantized_add_relu(context, node) without return types