TF: Fix generation repetition penalty with XLA (#18648)

src/transformers/generation_tf_logits_process.py

@@ -262,9 +262,11 @@ class TFRepetitionPenaltyLogitsProcessor(TFLogitsProcessor):
 
         # Scatters the penalties
         token_penalties = tf.ones(logits.shape)
+        batch_size = input_ids.shape[0]
+        seq_len = tf.shape(input_ids)[1]  # the sequence length has dynamic size, hence the dynamic shape
         indexable_prev_input_ids = tf.concat(
             (
-                tf.expand_dims(tf.repeat(tf.range(input_ids.shape[0]), input_ids.shape[1]), axis=-1),
+                tf.expand_dims(tf.repeat(tf.range(batch_size), seq_len), axis=-1),
                 tf.expand_dims(tf.reshape(input_ids, [-1]), axis=-1),
             ),
             axis=1,