Fix TypeError

✅ Solution

TypeError in TensorFlow often arises when XLA compilation (jit_compile=True) encounters non-TensorFlow Python types (like Python booleans directly passed to tf.cond or when using >2 branches in tf.cond). To fix this, ensure that the conditional predicate is a TensorFlow boolean tensor (e.g., using tf.constant(True, dtype=tf.bool)) and convert intermediate values to Tensors when using multiple branches in `tf.cond`. For example, cast Python booleans to tf.constant and use tf.identity to enforce the same output type across different `tf.cond` branches.