[pipeline] fix padding for 1-d tensors (#31776)

* [pipeline] fix padding for 1-d tensors

* add test

* make style

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

Co-authored-by: Kamil Akesbi <45195979+kamilakesbi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py

---------

Co-authored-by: Kamil Akesbi <45195979+kamilakesbi@users.noreply.github.com>

tests/pipelines/test_pipelines_automatic_speech_recognition.py

@@ -549,6 +549,23 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase):
         output = speech_recognizer([filename], chunk_length_s=5, batch_size=4)
         self.assertEqual(output, [{"text": " A man said to the universe, Sir, I exist."}])
 
+    @require_torch
+    @slow
+    def test_torch_whisper_batched(self):
+        speech_recognizer = pipeline(
+            task="automatic-speech-recognition",
+            model="openai/whisper-tiny",
+            framework="pt",
+        )
+        ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation[:2]")
+        EXPECTED_OUTPUT = [
+            {"text": " Mr. Quilter is the apostle of the middle classes and we are glad to welcome his gospel."},
+            {"text": " Nor is Mr. Quilters' manner less interesting than his matter."},
+        ]
+
+        output = speech_recognizer(ds["audio"], batch_size=2)
+        self.assertEqual(output, EXPECTED_OUTPUT)
+
     @slow
     def test_find_longest_common_subsequence(self):
         max_source_positions = 1500