更新旧版Keras模型时出现不推荐警告

Question

我有一个旧的Keras模型文件，它工作得很好。但是，当我试图在tensorflow==1.13.1中加载它时，会收到大量警告：

import tensorflow as tf
model = tf.keras.models.load_model("best.h5")

WARNING:tensorflow:From .pyenv/versions/3.6.0/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer.

WARNING:tensorflow:From .pyenv/versions/3.6.0/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead.

假设我不想重新训练模型，如何更新它以避免出现这些错误？如果需要，原始网络（简单的1D covnet）如下：

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Answer 1

这些不是错误，它们与tensorflow中的内部Keras实现有关，除了等待tf.keras更新它们的实现和不使用已弃用的函数之外，没有什么可以做的。在