title: WARNING:tensorflow:11 out of the last 11 calls to triggered tf.function retracing
body: <p>Anyone know the reason for this error?</p>
  <pre><code>WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
  WARNING:tensorflow:11 out of the last 11 calls to &lt;function Model.make_predict_function.&lt;locals&gt;.predict_function at 0x000001F9D1C05EE0&gt; triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
  WARNING:tensorflow:11 out of the last 11 calls to &lt;function Model.make_predict_function.&lt;locals&gt;.predict_function at 0x000001F9D5604670&gt; triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
  C:\Users\User\anaconda3\lib\site-packages\sklearn\cluster\_kmeans.py:973: FutureWarning: 'n_jobs' was deprecated in version 0.23 and will be removed in 0.25.
    warnings.warn(&quot;'n_jobs' was deprecated in version 0.23 and will be&quot;
  </code></pre>