Remove remaining deprecation tools as unused.

Author: pearu

src/libtorchaudio/shim_temporary.h

@@ -1,8 +1,6 @@
 import importlib.util
 import os
-import warnings
-from functools import partial, wraps
-from typing import Optional
+from functools import wraps
 
 
 def eval_env(var, default):
@@ -60,99 +58,6 @@ def wrapped(*args, **kwargs):
     return decorator
 
 
-UNSUPPORTED = []
-
-
-def wrap_deprecated(func, name, direction: str, version: Optional[str] = None, remove: bool = False):
-    @wraps(func)
-    def wrapped(*args, **kwargs):
-        message = f"{name} has been deprecated. {direction}"
-        if remove:
-            message += f' It will be removed from {"a future" if version is None else "the " + str(version)} release. '
-        warnings.warn(message, stacklevel=2)
-        return func(*args, **kwargs)
-
-    return wrapped
-
-
-def deprecated(direction: str, version: Optional[str] = None, remove: bool = False):
-    """Decorator to add deprecation message
-
-    Args:
-        direction (str): Migration steps to be given to users.
-        version (str or int): The version when the object will be removed
-        remove (bool): If enabled, append future removal message.
-    """
-
-    def decorator(func):
-        wrapped = wrap_deprecated(func, f"{func.__module__}.{func.__name__}", direction, version=version, remove=remove)
-
-        message = "This function has been deprecated. "
-        if remove:
-            message += f'It will be removed from {"future" if version is None else version} release. '
-
-        wrapped.__doc__ = f"""DEPRECATED
-
-    .. warning::
-
-       {message}
-       {direction}
-
-    {func.__doc__}
-    """
-
-        return wrapped
-
-    return decorator
-
-
-DEPRECATION_MSG = (
-    "This deprecation is part of a large refactoring effort to transition TorchAudio into a maintenance phase. "
-    "Please see https://github.com/pytorch/audio/issues/3902 for more information."
-)
-
-IO_DEPRECATION_MSG = (
-    "This deprecation is part of a large refactoring effort to transition TorchAudio into a maintenance phase. "
-    "The decoding and encoding capabilities of PyTorch for both audio"
-    " and video are being consolidated into TorchCodec. "
-    "Please see https://github.com/pytorch/audio/issues/3902 for more information."
-)
-
-dropping_support = deprecated(DEPRECATION_MSG, version="2.9", remove=True)
-
-
-def dropping_class_support(c, msg=DEPRECATION_MSG):
-    c.__init__ = wrap_deprecated(c.__init__, f"{c.__module__}.{c.__name__}", msg, version="2.9", remove=True)
-    c.__doc__ = f"""DEPRECATED
-
-.. warning::
-
-    This class is deprecated from version 2.8. It will be removed in the 2.9 release.
-    {msg}
-{c.__doc__}
-"""
-
-    UNSUPPORTED.append(c)
-    return c
-
-
-def dropping_const_support(c, msg=DEPRECATION_MSG, name=None):
-    c.__doc__ = f"""[DEPRECATED]
-
-.. warning::
-
-    This object is deprecated deprecated from version 2.8. It will be removed in the 2.9 release.
-    {msg}
-{c.__doc__}
-    """
-    return c
-
-
-dropping_class_io_support = partial(dropping_class_support, msg=IO_DEPRECATION_MSG)
-
-dropping_io_support = deprecated(IO_DEPRECATION_MSG, version="2.9", remove=True)
-
-
 def fail_with_message(message):
     """Generate decorator to give users message about missing TorchAudio extension."""
 

src/torchaudio/_internal/module_utils.py

@@ -1,7 +1,3 @@
-import inspect
-
-from torchaudio._internal.module_utils import dropping_class_support, dropping_support
-
 _CTC_DECODERS = [
     "CTCHypothesis",
     "CTCDecoder",
@@ -37,21 +33,7 @@ def __getattr__(name: str):
                 "To use CUCTC decoder, please set BUILD_CUDA_CTC_DECODER=1 when building from source."
             ) from err
 
-        # TODO: when all unsupported classes are removed, replace the
-        # following if-else block with
-        #  item = getattr(_cuda_ctc_decoder, name)
-        orig_item = getattr(_cuda_ctc_decoder, name)
-        if inspect.isclass(orig_item) or (
-            # workaround a failure to detect type instances
-            # after sphinx autodoc mocking, required for
-            # building docs
-            getattr(orig_item, "__sphinx_mock__", False)
-            and inspect.isclass(orig_item.__class__)
-        ):
-            item = dropping_class_support(orig_item)
-        else:
-            item = dropping_support(orig_item)
-
+        item = getattr(_cuda_ctc_decoder, name)
         globals()[name] = item
         return item
     raise AttributeError(f"module {__name__} has no attribute {name}")

src/torchaudio/models/decoder/__init__.py

@@ -1,5 +1,3 @@
-from torchaudio._internal.module_utils import dropping_class_support
-
 from ._multi_channel import MVDR, PSD, RTFMVDR, SoudenMVDR
 from ._transforms import (
     AddNoise,
@@ -23,7 +21,7 @@
     PitchShift,
     Preemphasis,
     Resample,
-    RNNTLoss as _RNNTLoss,
+    RNNTLoss,
     SlidingWindowCmn,
     SpecAugment,
     SpectralCentroid,
@@ -36,8 +34,6 @@
     Vol,
 )
 
-RNNTLoss = dropping_class_support(_RNNTLoss)
-
 __all__ = [
     "AddNoise",
     "AmplitudeToDB",