Jjjb On Mon, 21 Oct 2024, 17:59 Mich Talebzadeh, <mich.talebza...@gmail.com> wrote:
> > Spark version 3.4.0 > Python 3.9.16 > tensorflow 2.17.0 > > Hi, > > I encountered an issue while building a VAE (Variational Autoencoder > <https://en.wikipedia.org/wiki/Variational_autoencoder>) model using the > following configuration: I am doing this work as part of imputation of > fraud data > > - Input dimension: 250 > - Latent dimension: 32 > - Method name: build_vae_model > > This error occurred when calling build_vae_model within the > impute_data_vae module, leading to a failure with the following error > description: > > *Error:* > A KerasTensor cannot be used as input to a TensorFlow function. A > KerasTensor is a symbolic placeholder for a shape and dtype, used when > constructing Keras Functional models or Keras Functions. You can only use > it as input to a Keras layer or a Keras operation (from the namespaces > `keras.layers` and `keras.operations`). You are likely doing something like: > > ``` > > x = Input(...) > > ... > > tf_fn(x) # Invalid. > > ``` > > What you should do instead is wrap `tf_fn` in a layer: > > ``` > class MyLayer(Layer): > > def call(self, x): > > return tf_fn(x) > x = MyLayer()(x) > ``` > > As a next step, I will be adjusting the build_vae_model method to wrap > the TensorFlow function(s) inside appropriate Keras layers. It is becoming > very time consuming. If anyone has faced a similar issue or has > recommendations on the best practices for handling, I will appreciate it. > > Thanks > > Mich Talebzadeh, > Architect | Data Engineer | Data Science | Financial Crime > PhD <https://en.wikipedia.org/wiki/Doctor_of_Philosophy> Imperial College > London <https://en.wikipedia.org/wiki/Imperial_College_London> > London, United Kingdom > > > view my Linkedin profile > <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> > > > https://en.everybodywiki.com/Mich_Talebzadeh > > > > *Disclaimer:* The information provided is correct to the best of my > knowledge but of course cannot be guaranteed . It is essential to note > that, as with any advice, quote "one test result is worth one-thousand > expert opinions (Werner <https://en.wikipedia.org/wiki/Wernher_von_Braun>Von > Braun <https://en.wikipedia.org/wiki/Wernher_von_Braun>)". >
