? 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>)". On Mon, 21 Oct 2024 at 18:08, Jason Tan <jbw...@gmail.com> wrote: > 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>)". >> >
