keras/src/trainers/data_adapters/array_slicing.py/Sliceable/convert_to_jax_compatible
class Sliceable:    def convert_to_jax_compatible(cls, x):
        """Convert a tensor to something that the JAX backend can consume.

        This can be a `JAX` array, NumPy array or any other type of tensor that
        `keras.backend.jax.core.convert_to_tensor()` can consume.
        Only called after slicing using `__getitem__`.
        Used to convert sparse tensors and densify ragged tensors.

        Args:
            x: the tensor to convert.
        Returns: the converted tensor.
        """
        return x