Fix `test_eos_token_id_int_and_list_top_k_top_sampling` (#22826)

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/generation/test_utils.py

@@ -2515,12 +2515,14 @@ class GenerationIntegrationTests(unittest.TestCase, GenerationIntegrationTestsMi
         tokens = tokenizer(text, return_tensors="pt").to(torch_device)
         model = AutoModelForCausalLM.from_pretrained("hf-internal-testing/tiny-random-gpt2").to(torch_device)
 
-        torch.manual_seed(0)
+        # Only some seeds will work both on CPU/GPU for a fixed `expectation` value.
+        # The selected seed is not guaranteed to work on all torch versions.
+        torch.manual_seed(1)
         eos_token_id = 846
         generated_tokens = model.generate(**tokens, eos_token_id=eos_token_id, **generation_kwargs)
         self.assertTrue(expectation == len(generated_tokens[0]))
 
-        torch.manual_seed(0)
+        torch.manual_seed(1)
         eos_token_id = [846, 198]
         generated_tokens = model.generate(**tokens, eos_token_id=eos_token_id, **generation_kwargs)
         self.assertTrue(expectation == len(generated_tokens[0]))