Fix InvalidArgumentError

✅ Solution

InvalidArgumentError in TensorFlow typically arises when an argument passed to a TensorFlow operation has an unexpected or invalid value, such as out-of-bounds indices, incorrect data types, or shapes incompatible with the operation's requirements. To fix it, thoroughly inspect the shapes, data types, and value ranges of all input tensors passed to the failing operation, ensuring they conform to the operation's expected input requirements; use `tf.debugging.assert_*` ops for runtime validation. Verify that reduction axes are valid for `argmin/argmax` and that `buffer_size` and `vocab_size` are reasonable to prevent OOM issues when shuffling or creating index tables.