警告:tensorflow:在触发tf.function跟踪的最后11次调用中有11次 [英] WARNING:tensorflow:11 out of the last 11 calls to triggered tf.function retracing

问题描述

有人知道此错误的原因吗?

Anyone know the reason for this error?

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 <function Model.make_predict_function.<locals>.predict_function at 0x000001F9D1C05EE0> 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 <function Model.make_predict_function.<locals>.predict_function at 0x000001F9D5604670> 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("'n_jobs' was deprecated in version 0.23 and will be"

推荐答案

{TLDR} 尝试将 model.predict(x)替换为 model(x)

我也有警告方面的问题:

I also had issues with the warning:

WARNING:tensorflow:11 out of the last 11 calls to <function Model.make_predict_function.<locals>.predict_function at 0x000001F9D1C05EE0> 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.

我能够通过直接使用 model(x)

我正在预测时间序列，并将每个新的采样时间将模型的最后一层拟合到最新数据.所以我

I am predicting time series and fit the last layer of my model every new sampling time to the latest data. Therefore I

1. 生成并拟合基本模型并冻结所有图层+放置顶层
2. 适应新数据并在循环中进行预测

我试图按照警告和@ TFer2的建议实现带有签名的自定义预测功能.但是这产生了错误

I tried to implement a custom predict function with a signature as suggested from the Warning and @TFer2. This however yielded the error

RuntimeError: Detected a call to `Model.predict` inside a `tf.function`. `Model.predict is a high-level endpoint that manages its own `tf.function`. Please move the call to `Model.predict` outside of all enclosing `tf.function`s. Note that you can call a `Model` directly on `Tensor`s inside a `tf.function` like: `model(x)`.

有了这个错误，我便能够解决问题.

With this error I was then able to solve the issue.

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