[BUG] Can't reuse a loaded model saved after training about models

[rnyak]

@PaulSteffen-betclic please pull the latest branches. there was a recent fix. if you are using our merlin-tensorflow:23.08 image, you need to do

cd /models
git pull origin main
pip install .

[PaulSteffen-betclic]

@PaulSteffen-betclic please pull the latest branches. there was a recent fix. if you are using our merlin-tensorflow:23.08 image, you need to do

cd /models
git pull origin main
pip install .

I'm currently using the version 23.8.0+5.g16d289a77, which include this recent fix

[PaulSteffen-betclic]

@PaulSteffen-betclic please pull the latest branches. there was a recent fix. if you are using our merlin-tensorflow:23.08 image, you need to do

cd /models
git pull origin main
pip install .

I also tried to use the latest branches, using the merlin-tensorflow:nightly image (23.08 do not work on macOS) and always the same error.

[rnyak]

@PaulSteffen-betclic after you load the model can you please do this step before you convert it to topk_encoder model?

loaded_model = tf.keras.models.load_model(path)
     # this is necessary when re-loading the model, before building the top K
  _ = loaded_model(mm.sample_batch(dataset, batch_size=128, include_targets=False))

[PaulSteffen-betclic]

@PaulSteffen-betclic after you load the model can you please do this step before you convert it to topk_encoder model?

loaded_model = tf.keras.models.load_model(path)
     # this is necessary when re-loading the model, before building the top K
  _ = loaded_model(mm.sample_batch(dataset, batch_size=128, include_targets=False))

It fix this issue !
Thanks !