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Title: ValueError when initializing tfrs.metrics.FactorizedTopK with a candidates dataset. #748
Description
I encountered a ValueError when attempting to initialize tfrs.metrics.FactorizedTopK with a dataset of candidate embeddings in the TensorFlow Recommenders library. It appears that the function is trying to convert a string into a shape, resulting in an error. I have been trying the sample code which was given at the following web page https://www.tensorflow.org/recommenders/examples/basic_retrieval
It is not working on the given colab link.
The following line
metrics = tfrs.metrics.FactorizedTopK(
candidates=movies.batch(128).map(movie_model)
)
gives the following error.
ValueError Traceback (most recent call last)
[<ipython-input-14-e82bf640c968>](https://localhost:8080/#) in <cell line: 1>()
----> 1 metrics = tfrs.metrics.FactorizedTopK(
2 candidates=movies.batch(128).map(movie_model)
3 )
5 frames
[/usr/local/lib/python3.10/dist-packages/keras/src/backend/common/variables.py](https://localhost:8080/#) in standardize_shape(shape)
533 continue
534 if not is_int_dtype(type(e)):
--> 535 raise ValueError(
536 f"Cannot convert '{shape}' to a shape. "
537 f"Found invalid entry '{e}' of type '{type(e)}'. "
ValueError: Cannot convert '('c', 'o', 'u', 'n', 't', 'e', 'r')' to a shape. Found invalid entry 'c' of type '<class 'str'>'.
Activity
malinphy commentedon Dec 11, 2024
The following solution #712 (comment) works for the given example.
Fix Keras 3.x compatibility in FactorizedTopK layer