title: TF-Lite Non-Max-Suppression
body: <p>I am attempting to convert a graph with tf.image.non_max_suppression or tf.image.combined_non_max_suppression but both API calls yield an error like &quot;tf.CombinedNonMaxSuppression op is neither a custom op nor a flex op.&quot; My setup is TF2.3.1, python 3.7, Windows 10.</p>
  <p>I understand that some tf functions are not supported for conversion to TF-Lite but the link below shows tfl function for non-max-suppression.</p>
  <p><a href="https://tensorflow.google.cn/mlir/tfl_ops#tflnon_max_suppression_v4_tflnonmaxsuppressionv4op" rel="nofollow noreferrer">https://tensorflow.google.cn/mlir/tfl_ops#tflnon_max_suppression_v4_tflnonmaxsuppressionv4op</a></p>
  <p>What do I need to do to be able to run the converter on my function in order to use the tfl.non_max_suppression_vx function?</p>