UserWarning: The `lr` argument is deprecated, use `learning_rate` instead. super().__init__(name, **kwargs) WARNING:tensorflow:Model was constructed with shape (None, 100, 1) for input KerasTensor(type_spec=TensorSpec(shape=(None, 100, 1), dtype=tf.float32, name='input_1'), name='input_1', description="created by layer 'input_1'"), but it was called on an input with incompatible shape (None, 88, 1). WARNING:tensorflow:Model was constructed with shape (None, 100, 1) for input KerasTensor(type_spec=TensorSpec(shape=(None, 100, 1), dtype=tf.float32, name='input_2'), name='input_2', description="created by layer 'input_2'"), but it was called on an input with incompatible shape (None, 88, 1).

这个警告信息包含两个部分：

第一个部分是与 `lr` 参数相关的警告，与之前的警告信息一样，建议使用更新的 `learning_rate` 参数来代替。

第二个部分是关于模型输入形状不匹配的警告。模型在创建时使用了 `(None, 100, 1)` 的形状作为输入，但是在调用模型时输入的数据形状为 `(None, 88, 1)`，两者不匹配。这个警告提示我们需要检查模型的输入层和调用时传入的数据形状是否一致，如果不一致需要进行相应的调整。

可以尝试调整模型的输入形状，或者在调用模型时传入正确形状的数据。

相关问题

UserWarning: The `lr` argument is deprecated, use `learning_rate` instead. super().__init__(name, **kwargs)

This warning message indicates that the `lr` argument is no longer supported and has been replaced with `learning_rate`. This means that if you are using the `lr` argument in your code, you should update it to `learning_rate` in order to avoid this warning.

For example, if you have previously used:

optimizer = tf.keras.optimizers.Adam(lr=0.001)

You should update it to:

optimizer = tf.keras.optimizers.Adam(learning_rate=0.001)

UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.

这似乎是一个关于 Python 语言中某个库的警告信息，建议您更新代码中 `lr` 参数使用 `learning_rate` 替代。如果您遇到这个问题，您可以试着更改代码中相应的参数名，来消除这个警告。