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

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

utils/print_env.py

@@ -72,3 +72,14 @@ try:
     print("Number of TF GPUs available:", len(tf.config.list_physical_devices("GPU")))
 except ImportError:
     print("TensorFlow version:", None)
+
+
+try:
+    import torchcodec
+
+    versions = torchcodec._core.get_ffmpeg_library_versions()
+    print("FFmpeg version:", versions["ffmpeg_version"])
+except ImportError:
+    print("FFmpeg version:", None)
+except (AttributeError, KeyError):
+    print("Failed to get FFmpeg version")