Fix InvalidArgumentError

✅ Solution

InvalidArgumentError in TensorFlow usually stems from providing function arguments with incorrect shapes, data types, or values that violate preconditions or constraints defined within the TensorFlow operation. To fix it, carefully inspect the error message for clues about the specific invalid argument, then validate the shapes, data types, and values of your input tensors before calling the TensorFlow operation using `tf.debugging.assert_*` functions (e.g., `tf.debugging.assert_rank`, `tf.debugging.assert_type`, `tf.debugging.assert_greater_equal`), and adjust them accordingly.