fix Whisper tests on GPU (#23753)

* move input features to GPU

* skip these tests because undefined behavior

* unskip tests

tests/models/whisper/test_modeling_whisper.py

@@ -1477,7 +1477,7 @@ class WhisperModelIntegrationTests(unittest.TestCase):
         model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-tiny")
         model.to(torch_device)
         input_speech = self._load_datasamples(4)[-1:]
-        input_features = processor(input_speech, return_tensors="pt").input_features
+        input_features = processor(input_speech, return_tensors="pt").input_features.to(torch_device)
 
         output_without_prompt = model.generate(input_features)
         prompt_ids = processor.get_prompt_ids("Leighton")
@@ -1494,7 +1494,7 @@ class WhisperModelIntegrationTests(unittest.TestCase):
         model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-tiny")
         model.to(torch_device)
         input_speech = self._load_datasamples(1)
-        input_features = processor(input_speech, return_tensors="pt").input_features
+        input_features = processor(input_speech, return_tensors="pt").input_features.to(torch_device)
         task = "translate"
         language = "de"
         expected_tokens = [f"<|{task}|>", f"<|{language}|>"]
@@ -1513,7 +1513,7 @@ class WhisperModelIntegrationTests(unittest.TestCase):
         model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-tiny.en")
         model.to(torch_device)
         input_speech = self._load_datasamples(1)
-        input_features = processor(input_speech, return_tensors="pt").input_features
+        input_features = processor(input_speech, return_tensors="pt").input_features.to(torch_device)
         prompt = "test prompt"
         prompt_ids = processor.get_prompt_ids(prompt)