code: def quantized_relu(data, input_zero_point):
      # refer to aten/src/ATen/native/quantized/cpu/qrelu.cpp
      zp = _op.cast(input_zero_point, dtype="uint8")
      return _op.tensor.maximum(data, zp)
  
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 17 for calling a global function with example usage: quantized_relu(data, input_zero_point) and returns: _op