[XGLM] run sampling test on CPU to be deterministic (#15892)

* run sampling test on CPU to be deterministic

* input_ids on CPU

tests/xglm/test_modeling_xglm.py

@@ -418,15 +418,14 @@ def test_lm_generate_xglm_with_gradient_checkpointing(self):
     def test_xglm_sample(self):
         tokenizer = XGLMTokenizer.from_pretrained("facebook/xglm-564M")
         model = XGLMForCausalLM.from_pretrained("facebook/xglm-564M")
-        model.to(torch_device)
 
         torch.manual_seed(0)
         tokenized = tokenizer("Today is a nice day and", return_tensors="pt")
-        input_ids = tokenized.input_ids.to(torch_device)
+        input_ids = tokenized.input_ids
         output_ids = model.generate(input_ids, do_sample=True, num_beams=1)
         output_str = tokenizer.decode(output_ids[0], skip_special_tokens=True)
 
-        EXPECTED_OUTPUT_STR = "Today is a nice day and I am happy to show you all about a recent project for my"
+        EXPECTED_OUTPUT_STR = "Today is a nice day and the sun is shining. A nice day with warm rainy"
         self.assertEqual(output_str, EXPECTED_OUTPUT_STR)
 
     @slow