code: def display_warning_if_incompatible(self):
      global abi_warning_already_raised
      if abi_is_compatible() or abi_warning_already_raised:
          return
  
      warnings.warn(
          "You are currently using TensorFlow {} and trying to load a custom op ({})."
          "\n"
          "TensorFlow Addons has compiled its custom ops against TensorFlow {}, "
          "and there are no compatibility guarantees between the two versions. "
          "\n"
          "This means that you might get segfaults when loading the custom op, "
          "or other kind of low-level errors.\n If you do, do not file an issue "
          "on Github. This is a known limitation."
          "\n\n"
          "It might help you to fallback to pure Python "
          "ops by setting environment variable `TF_ADDONS_PY_OPS=1` or using `tfa.options.disable_custom_kernel()` in your code. "
          "To do that, see "
          "https://github.com/tensorflow/addons#gpucpu-custom-ops "
          "\n\n"
          "You can also change the TensorFlow version installed on your system. "
          "You would need a TensorFlow version equal to or above {} and strictly "
          "below {}.\n Note that nightly versions of TensorFlow, "
          "as well as non-pip TensorFlow like `conda install tensorflow` or compiled "
          "from source are not supported."
          "\n\n"
          "The last solution is to find the TensorFlow Addons version that has "
          "custom ops compatible with the TensorFlow installed on your "
          "system. To do that, refer to the readme: "
          "https://github.com/tensorflow/addons"
          "".format(
              tf.__version__,
              self.relative_path,
              INCLUSIVE_MIN_TF_VERSION_FOR_ABI_COMPATIBILITY,
              INCLUSIVE_MIN_TF_VERSION_FOR_ABI_COMPATIBILITY,
              EXCLUSIVE_MAX_TF_VERSION_FOR_ABI_COMPATIBILITY,
          ),
          UserWarning,
      )
      abi_warning_already_raised = True
  
file_path: addons/tensorflow_addons/utils/resource_loader.py
imports: from packaging.version import Version
  import os
  import warnings
  import tensorflow
label_desc: Use image node_id 3 for calling the LazySO obj's underlying member method code with example usage: obj.display_warning_if_incompatible() without return types