Generate: fix candidate device placement (#28493)

* fix candidate device

* this line shouldn't have been in

src/transformers/generation/candidate_generator.py

@@ -169,6 +169,8 @@ class AssistedCandidateGenerator(CandidateGenerator):
             assessed by the model and a `torch.FloatTensor` of shape `(batch_size, candidate_length,
             vocabulary_size)` containing the logits associated to each candidate.
         """
+        input_ids = input_ids.to(self.assistant_model.device)
+
         # 1. If it is not the first round of candidate generation, prepare the inputs based on the input_ids length
         # (which implicitly contains the number of accepted candidates from the previous round)
         has_past_key_values = self.assistant_kwargs.get("past_key_values", None) is not None

src/transformers/generation/utils.py

@@ -4591,10 +4591,9 @@ class GenerationMixin:
             cur_len = input_ids.shape[-1]
 
             #  1. Fetch candidate sequences from a `CandidateGenerator`
-            candidate_input_ids, candidate_logits = candidate_generator.get_candidates(
-                input_ids.to(candidate_generator.assistant_model.device)
-            )
+            candidate_input_ids, candidate_logits = candidate_generator.get_candidates(input_ids)
             candidate_input_ids = candidate_input_ids.to(self.device)
+            if candidate_logits is not None:
                 candidate_logits = candidate_logits.to(self.device)
 
             candidate_length = candidate_input_ids.shape[1] - input_ids.shape[1]