code: def quantized_sigmoid(inputs):
      data = inputs[0]
      output_scale = _expr.const(inputs[1])
      output_zero_point = _expr.const(inputs[2])
      input_scale = _expr.const(inputs[3])
      input_zero_point = _expr.const(inputs[4])
      return relay.qnn.op.sigmoid(
          data,
          input_scale,
          input_zero_point,
          output_scale,
          output_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 18 for calling a global function with example usage: quantized_sigmoid(inputs) and returns: relay