'BatchNormalization' object has no attribute 'adapt'
时间: 2023-10-31 20:07:02 浏览: 51
This error usually occurs when you try to call the `adapt` method on a `BatchNormalization` layer in TensorFlow. The reason for this error is that the `adapt` method is not implemented for `BatchNormalization` layers in TensorFlow.
The `adapt` method is typically used in TensorFlow's `tf.keras.layers.experimental.preprocessing` module to compute the mean and variance statistics of a dataset and update the normalization layer accordingly. However, for `BatchNormalization` layers, the mean and variance statistics are computed during training and updated dynamically, so the `adapt` method is not needed.
If you need to normalize your input data before passing it to a `BatchNormalization` layer, you can use a separate normalization layer such as `tf.keras.layers.experimental.preprocessing.Normalization` or `tf.keras.layers.BatchNormalization` with `scale=False`.