Undo drop support for forced_aling and rnnt_loss

Author: pearu

src/torchaudio/functional/__init__.py

@@ -1,6 +1,4 @@
-from torchaudio._internal.module_utils import dropping_support
-
-from ._alignment import forced_align as _forced_align, merge_tokens, TokenSpan
+from ._alignment import forced_align, merge_tokens, TokenSpan
 from .filtering import (
     allpass_biquad,
     band_biquad,
@@ -26,8 +24,6 @@
     vad,
 )
 
-forced_align = dropping_support(_forced_align)
-
 from .functional import (
     add_noise,
     amplitude_to_DB,

src/torchaudio/functional/functional.py

@@ -8,7 +8,6 @@
 import torch
 import torchaudio
 from torch import Tensor
-from torchaudio._internal.module_utils import dropping_support
 
 from .filtering import highpass_biquad, treble_biquad
 
@@ -1733,7 +1732,7 @@ def backward(ctx, dy):
         return (result, None, None, None, None, None, None, None)
 
 
-def _rnnt_loss(
+def rnnt_loss(
     logits: Tensor,
     targets: Tensor,
     logit_lengths: Tensor,
@@ -1830,11 +1829,6 @@ def psd(
     return psd
 
 
-# Expose both deprecated wrapper as well as original because torchscript breaks on
-# wrapped functions.
-rnnt_loss = dropping_support(_rnnt_loss)
-
-
 def _compute_mat_trace(input: torch.Tensor, dim1: int = -1, dim2: int = -2) -> torch.Tensor:
     r"""Compute the trace of a Tensor along ``dim1`` and ``dim2`` dimensions.