Add torchcodec in docstrings/tests for datasets 4.0 (#39156)

* fix dataset run_object_detection

* bump version

* keep same dataset actually

* torchcodec in docstrings and testing utils

* torchcodec in dockerfiles and requirements

* remove duplicate

* add torchocodec to all the remaining docker files

* fix tests

* support torchcodec in audio classification and ASR

* [commit to revert] build ci-dev images

* [commit to revert] trigger circleci

* [commit to revert] build ci-dev images

* fix

* fix modeling_hubert

* backward compatible run_object_detection

* revert ci trigger commits

* fix mono conversion and support torch tensor as input

* revert map_to_array docs + fix it

* revert mono

* nit in docstring

* style

* fix modular

---------

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

tests/models/hubert/test_modeling_hubert.py

@@ -22,7 +22,7 @@ import unittest
 import pytest
 
 from transformers import HubertConfig, is_torch_available
-from transformers.testing_utils import require_soundfile, require_torch, slow, torch_device
+from transformers.testing_utils import require_torch, require_torchcodec, slow, torch_device
 
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import (
@@ -750,7 +750,7 @@ class HubertUtilsTest(unittest.TestCase):
 
 
 @require_torch
-@require_soundfile
+@require_torchcodec
 @slow
 class HubertModelIntegrationTest(unittest.TestCase):
     def _load_datasamples(self, num_samples):