Replaces calls to .cuda with .to(torch_device) in tests (#25571)

* Replaces calls to `.cuda` with `.to(torch_device)` in tests
`torch.Tensor.cuda()` is a pre-0.4 solution to changing a tensor's device. It is recommended to prefer `.to(...)` for greater flexibility and error handling. Furthermore, this makes it more consistent with other tests (that tend to use `.to(torch_device)`) and ensures the correct device backend is used (if `torch_device` is neither `cpu` or `cuda`).

* addressing review comments

* more formatting changes in Bloom test

* `make style`

* Update tests/models/bloom/test_modeling_bloom.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fixes style failures

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

tests/models/xglm/test_modeling_xglm.py

@@ -497,13 +497,13 @@ class XGLMModelLanguageGenerationTest(unittest.TestCase):
         model_name = "facebook/xglm-564M"
         tokenizer = XGLMTokenizer.from_pretrained(model_name, use_fast=False, padding_side="left")
 
-        model = XGLMForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, use_cache=True).cuda()
+        model = XGLMForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, use_cache=True).to(torch_device)
         model = model.eval()
 
         batch = tokenizer(["Who are you?", "Joe Biden is the president of"], padding=True, return_tensors="pt")
 
-        input_ids = batch["input_ids"].cuda()
-        attention_mask = batch["attention_mask"].cuda()
+        input_ids = batch["input_ids"].to(torch_device)
+        attention_mask = batch["attention_mask"].to(torch_device)
 
         with torch.no_grad():
             outputs = model(input_ids, attention_mask=attention_mask)