[tensorflow/tensorflow] XLA Compilation Fails Due to Invalid Index Type in tf.while_loop When Loop Variable is a Float Tensor

### ROOT CAUSE The XLA compiler fails when encountering a loop variable of type float in `tf.while_loop` because it requires integer types for indices. The issue arises from a type mismatch during compilation, where XLA expects integer indices but encounters a float tensor. ### CODE FIX Cast the loop variable to an integer type before using it as an index. Modify the `tf.while_loop` call to ensure the initial value is integer: ```python result = tf.while_loop( condition, body, tf.zeros([], dtype=tf.int32) # Cast initial value to integer ) ``` This change ensures compatibility with XLA's compilation requirements by providing an integer index.