Fix tests that failed in Python 3.13 when building the conda-forge package

examples/asr/emformer_rnnt/common.py

@@ -93,7 +93,7 @@ def forward(self, input):
 
 
 class WarmupLR(torch.optim.lr_scheduler._LRScheduler):
-    def __init__(self, optimizer, warmup_updates, last_epoch=-1, verbose=False):
+    def __init__(self, optimizer, warmup_updates, last_epoch=-1):
         self.warmup_updates = warmup_updates
         super().__init__(optimizer, last_epoch=last_epoch)
 

examples/asr/librispeech_conformer_rnnt/lightning.py

@@ -27,8 +27,6 @@ class WarmupLR(torch.optim.lr_scheduler._LRScheduler):
         force_anneal_step (int): scheduler step at which annealing of learning rate begins.
         anneal_factor (float): factor to scale base learning rate by at each annealing step.
         last_epoch (int, optional): The index of last epoch. (Default: -1)
-        verbose (bool, optional): If ``True``, prints a message to stdout for
-            each update. (Default: ``False``)
     """
 
     def __init__(
@@ -38,12 +36,11 @@ def __init__(
         force_anneal_step: int,
         anneal_factor: float,
         last_epoch=-1,
-        verbose=False,
     ):
         self.warmup_steps = warmup_steps
         self.force_anneal_step = force_anneal_step
         self.anneal_factor = anneal_factor
-        super().__init__(optimizer, last_epoch=last_epoch, verbose=verbose)
+        super().__init__(optimizer, last_epoch=last_epoch)
 
     def get_lr(self):
         if self._step_count < self.force_anneal_step:

examples/asr/librispeech_conformer_rnnt_biasing/lightning.py

@@ -26,8 +26,6 @@ class WarmupLR(torch.optim.lr_scheduler._LRScheduler):
         force_anneal_step (int): scheduler step at which annealing of learning rate begins.
         anneal_factor (float): factor to scale base learning rate by at each annealing step.
         last_epoch (int, optional): The index of last epoch. (Default: -1)
-        verbose (bool, optional): If ``True``, prints a message to stdout for
-            each update. (Default: ``False``)
     """
 
     def __init__(
@@ -37,12 +35,11 @@ def __init__(
         force_anneal_step: int,
         anneal_factor: float,
         last_epoch=-1,
-        verbose=False,
     ):
         self.warmup_steps = warmup_steps
         self.force_anneal_step = force_anneal_step
         self.anneal_factor = anneal_factor
-        super().__init__(optimizer, last_epoch=last_epoch, verbose=verbose)
+        super().__init__(optimizer, last_epoch=last_epoch)
 
     def get_lr(self):
         if self._step_count < self.force_anneal_step:

examples/avsr/schedulers.py

@@ -11,11 +11,10 @@ def __init__(
         total_epochs: int,
         steps_per_epoch: int,
         last_epoch=-1,
-        verbose=False,
     ):
         self.warmup_steps = warmup_epochs * steps_per_epoch
         self.total_steps = total_epochs * steps_per_epoch
-        super().__init__(optimizer, last_epoch=last_epoch, verbose=verbose)
+        super().__init__(optimizer, last_epoch=last_epoch)
 
     def get_lr(self):
         if self._step_count < self.warmup_steps:

examples/hubert/lightning_modules.py

@@ -34,11 +34,10 @@ def __init__(
         warmup_updates: int,
         max_updates: int,
         last_epoch: int = -1,
-        verbose: bool = False,
     ):
         self.warmup_updates = warmup_updates
         self.max_updates = max_updates
-        super().__init__(optimizer, last_epoch=last_epoch, verbose=verbose)
+        super().__init__(optimizer, last_epoch=last_epoch)
 
     def get_lr(self):
         if self._step_count <= self.warmup_updates:
@@ -62,15 +61,14 @@ def __init__(
         init_lr_scale: float = 0.01,
         final_lr_scale: float = 0.05,
         last_epoch: int = -1,
-        verbose: bool = False,
     ):
         self.warmup_updates = warmup_updates
         self.hold_updates = hold_updates
         self.decay_updates = decay_updates
         self.init_lr_scale = init_lr_scale
         self.final_lr_scale = final_lr_scale
 
-        super().__init__(optimizer, last_epoch=last_epoch, verbose=verbose)
+        super().__init__(optimizer, last_epoch=last_epoch)
 
     def get_lr(self):
         if self._step_count <= self.warmup_updates:

examples/self_supervised_learning/lr_schedulers/_linear_decay.py

@@ -11,11 +11,10 @@ def __init__(
         warmup_updates: int,
         max_updates: int,
         last_epoch: int = -1,
-        verbose: bool = False,
     ):
         self.warmup_updates = warmup_updates
         self.max_updates = max_updates
-        super().__init__(optimizer, last_epoch=last_epoch, verbose=verbose)
+        super().__init__(optimizer, last_epoch=last_epoch)
 
     def get_lr(self):
         if self._step_count <= self.warmup_updates:

src/torchaudio/datasets/cmuarctic.py

@@ -1,4 +1,3 @@
-import csv
 import os
 from pathlib import Path
 from typing import Tuple, Union
@@ -129,8 +128,7 @@ def __init__(
         self._text = os.path.join(self._path, self._folder_text, self._file_text)
 
         with open(self._text, "r") as text:
-            walker = csv.reader(text, delimiter="\n")
-            self._walker = list(walker)
+            self._walker = [[line.strip()] for line in text if line.strip()]
 
     def __getitem__(self, n: int) -> Tuple[Tensor, int, str, str]:
         """Load the n-th sample from the dataset.

test/torchaudio_unittest/backend/dispatcher/ffmpeg/info_test.py

@@ -34,7 +34,7 @@
 @skipIfNoExec("sox")
 @skipIfNoFFmpeg
 class TestInfo(TempDirMixin, PytorchTestCase):
-    _info = partial(get_info_func(), backend="ffmpeg")
+    _info = staticmethod(partial(get_info_func(), backend="ffmpeg"))
 
     def test_pathlike(self):
         """FFmpeg dispatcher can query audio data from pathlike object"""
@@ -315,7 +315,7 @@ def test_gsm(self):
 @skipIfNoExec("sox")
 @skipIfNoFFmpeg
 class TestInfoOpus(PytorchTestCase):
-    _info = partial(get_info_func(), backend="ffmpeg")
+    _info = staticmethod(partial(get_info_func(), backend="ffmpeg"))
 
     @parameterized.expand(
         list(
@@ -341,7 +341,7 @@ def test_opus(self, bitrate, num_channels, compression_level):
 @skipIfNoExec("sox")
 @skipIfNoFFmpeg
 class TestLoadWithoutExtension(PytorchTestCase):
-    _info = partial(get_info_func(), backend="ffmpeg")
+    _info = staticmethod(partial(get_info_func(), backend="ffmpeg"))
 
     def test_mp3(self):
         """MP3 file without extension can be loaded
@@ -405,7 +405,7 @@ def read(self, n):
 
 @skipIfNoExec("sox")
 class TestFileObject(FileObjTestBase, PytorchTestCase):
-    _info = partial(get_info_func(), backend="ffmpeg")
+    _info = staticmethod(partial(get_info_func(), backend="ffmpeg"))
 
     def _query_fileobj(self, ext, dtype, sample_rate, num_channels, num_frames, *, comments=None):
         path = self._gen_file(ext, dtype, sample_rate, num_channels, num_frames, comments=comments)
@@ -557,7 +557,7 @@ def test_tarfile(self, ext, dtype):
 @skipIfNoExec("sox")
 @skipIfNoModule("requests")
 class TestFileObjectHttp(HttpServerMixin, FileObjTestBase, PytorchTestCase):
-    _info = partial(get_info_func(), backend="ffmpeg")
+    _info = staticmethod(partial(get_info_func(), backend="ffmpeg"))
 
     def _query_http(self, ext, dtype, sample_rate, num_channels, num_frames):
         audio_path = self._gen_file(ext, dtype, sample_rate, num_channels, num_frames)
@@ -600,7 +600,7 @@ def test_requests(self, ext, dtype):
 @skipIfNoExec("sox")
 @skipIfNoFFmpeg
 class TestInfoNoSuchFile(PytorchTestCase):
-    _info = partial(get_info_func(), backend="ffmpeg")
+    _info = staticmethod(partial(get_info_func(), backend="ffmpeg"))
 
     def test_info_fail(self):
         """

test/torchaudio_unittest/backend/dispatcher/ffmpeg/load_test.py

@@ -33,7 +33,7 @@
 
 
 class LoadTestBase(TempDirMixin, PytorchTestCase):
-    _load = partial(get_load_func(), backend="ffmpeg")
+    _load = staticmethod(partial(get_load_func(), backend="ffmpeg"))
 
     def assert_format(
         self,
@@ -324,7 +324,7 @@ def test_amb(self, dtype, num_channels, normalize, sample_rate=8000):
 @skipIfNoExec("sox")
 @skipIfNoFFmpeg
 class TestLoadWithoutExtension(PytorchTestCase):
-    _load = partial(get_load_func(), backend="ffmpeg")
+    _load = staticmethod(partial(get_load_func(), backend="ffmpeg"))
 
     def test_mp3(self):
         """MP3 file without extension can be loaded
@@ -364,7 +364,7 @@ class TestFileObject(TempDirMixin, PytorchTestCase):
     because `load` function is rigrously tested for file path inputs to match libsox's result,
     """
 
-    _load = partial(get_load_func(), backend="ffmpeg")
+    _load = staticmethod(partial(get_load_func(), backend="ffmpeg"))
 
     @parameterized.expand(
         [
@@ -541,7 +541,7 @@ def read(self, n):
 @skipIfNoExec("sox")
 @skipIfNoModule("requests")
 class TestFileObjectHttp(HttpServerMixin, PytorchTestCase):
-    _load = partial(get_load_func(), backend="ffmpeg")
+    _load = staticmethod(partial(get_load_func(), backend="ffmpeg"))
 
     @parameterized.expand(
         [
@@ -606,7 +606,7 @@ def test_frame(self, frame_offset, num_frames):
 @skipIfNoExec("sox")
 @skipIfNoFFmpeg
 class TestLoadNoSuchFile(PytorchTestCase):
-    _load = partial(get_load_func(), backend="ffmpeg")
+    _load = staticmethod(partial(get_load_func(), backend="ffmpeg"))
 
     def test_load_fail(self):
         """

test/torchaudio_unittest/backend/dispatcher/ffmpeg/save_test.py

@@ -41,7 +41,7 @@ def _convert_audio_file(src_path, dst_path, muxer=None, encoder=None, sample_fmt
 
 
 class SaveTestBase(TempDirMixin, TorchaudioTestCase):
-    _save = partial(get_save_func(), backend="ffmpeg")
+    _save = staticmethod(partial(get_save_func(), backend="ffmpeg"))
 
     def assert_save_consistency(
         self,
@@ -398,7 +398,7 @@ def test_save_multi_channels(self, num_channels):
 class TestSaveParams(TempDirMixin, PytorchTestCase):
     """Test the correctness of optional parameters of `self._save`"""
 
-    _save = partial(get_save_func(), backend="ffmpeg")
+    _save = staticmethod(partial(get_save_func(), backend="ffmpeg"))
 
     @parameterized.expand([(True,), (False,)], name_func=name_func)
     def test_save_channels_first(self, channels_first):
@@ -444,7 +444,7 @@ def test_save_tensor_preserve(self, dtype):
 @skipIfNoExec("sox")
 @skipIfNoFFmpeg
 class TestSaveNonExistingDirectory(PytorchTestCase):
-    _save = partial(get_save_func(), backend="ffmpeg")
+    _save = staticmethod(partial(get_save_func(), backend="ffmpeg"))
 
     def test_save_fail(self):
         """

test/torchaudio_unittest/backend/dispatcher/soundfile/info_test.py

@@ -24,7 +24,7 @@
 
 @skipIfNoModule("soundfile")
 class TestInfo(TempDirMixin, PytorchTestCase):
-    _info = partial(get_info_func(), backend="soundfile")
+    _info = staticmethod(partial(get_info_func(), backend="soundfile"))
 
     @parameterize(
         ["float32", "int32", "int16", "uint8"],
@@ -127,7 +127,7 @@ class MockSoundFileInfo:
 
 @skipIfNoModule("soundfile")
 class TestFileObject(TempDirMixin, PytorchTestCase):
-    _info = partial(get_info_func(), backend="soundfile")
+    _info = staticmethod(partial(get_info_func(), backend="soundfile"))
 
     def _test_fileobj(self, ext, subtype, bits_per_sample):
         """Query audio via file-like object works"""

test/torchaudio_unittest/backend/dispatcher/soundfile/load_test.py

@@ -97,7 +97,7 @@ def __exit__(self, *args, **kwargs):
 
 
 class MockedLoadTest(PytorchTestCase):
-    _load = partial(get_load_func(), backend="soundfile")
+    _load = staticmethod(partial(get_load_func(), backend="soundfile"))
 
     def assert_dtype(self, ext, dtype, sample_rate, num_channels, normalize, channels_first):
         """When format is WAV or NIST, normalize=False will return the native dtype Tensor, otherwise float32"""
@@ -143,7 +143,7 @@ def test_flac(self, sample_rate, num_channels, normalize, channels_first):
 
 
 class LoadTestBase(TempDirMixin, PytorchTestCase):
-    _load = partial(get_load_func(), backend="soundfile")
+    _load = staticmethod(partial(get_load_func(), backend="soundfile"))
 
     def assert_wav(
         self,
@@ -272,7 +272,7 @@ def test_flac(self, dtype, sample_rate, num_channels, channels_first):
 class TestLoadFormat(TempDirMixin, PytorchTestCase):
     """Given `format` parameter, `so.load` can load files without extension"""
 
-    _load = partial(get_load_func(), backend="soundfile")
+    _load = staticmethod(partial(get_load_func(), backend="soundfile"))
     original = None
     path = None
 
@@ -314,7 +314,7 @@ def test_flac(self, format_):
 
 @skipIfNoModule("soundfile")
 class TestFileObject(TempDirMixin, PytorchTestCase):
-    _load = partial(get_load_func(), backend="soundfile")
+    _load = staticmethod(partial(get_load_func(), backend="soundfile"))
 
     def _test_fileobj(self, ext):
         """Loading audio via file-like object works"""

test/torchaudio_unittest/backend/dispatcher/soundfile/save_test.py

@@ -21,7 +21,7 @@
 
 
 class MockedSaveTest(PytorchTestCase):
-    _save = partial(get_save_func(), backend="soundfile")
+    _save = staticmethod(partial(get_save_func(), backend="soundfile"))
 
     @nested_params(
         ["float32", "int32", "int16", "uint8"],
@@ -168,7 +168,7 @@ def test_ogg(self, dtype, sample_rate, num_channels, channels_first):
 
 @skipIfNoModule("soundfile")
 class SaveTestBase(TempDirMixin, PytorchTestCase):
-    _save = partial(get_save_func(), backend="soundfile")
+    _save = staticmethod(partial(get_save_func(), backend="soundfile"))
 
     def assert_wav(self, dtype, sample_rate, num_channels, num_frames):
         """`self._save` can save wav format."""
@@ -264,7 +264,7 @@ def test_ogg(self, sample_rate, num_channels):
 class TestSaveParams(TempDirMixin, PytorchTestCase):
     """Test the correctness of optional parameters of `self._save`"""
 
-    _save = partial(get_save_func(), backend="soundfile")
+    _save = staticmethod(partial(get_save_func(), backend="soundfile"))
 
     @parameterize([True, False])
     def test_channels_first(self, channels_first):
@@ -279,7 +279,7 @@ def test_channels_first(self, channels_first):
 
 @skipIfNoModule("soundfile")
 class TestFileObject(TempDirMixin, PytorchTestCase):
-    _save = partial(get_save_func(), backend="soundfile")
+    _save = staticmethod(partial(get_save_func(), backend="soundfile"))
 
     def _test_fileobj(self, ext):
         """Saving audio to file-like object works"""

test/torchaudio_unittest/backend/dispatcher/sox/info_test.py

@@ -31,7 +31,7 @@
 @skipIfNoExec("sox")
 @skipIfNoSox
 class TestInfo(TempDirMixin, PytorchTestCase):
-    _info = partial(get_info_func(), backend="sox")
+    _info = staticmethod(partial(get_info_func(), backend="sox"))
 
     @parameterized.expand(
         list(
@@ -262,7 +262,7 @@ def test_htk(self):
 @disabledInCI
 @skipIfNoSoxDecoder("opus")
 class TestInfoOpus(PytorchTestCase):
-    _info = partial(get_info_func(), backend="sox")
+    _info = staticmethod(partial(get_info_func(), backend="sox"))
 
     @parameterized.expand(
         list(
@@ -321,7 +321,7 @@ def read(self, n):
 @skipIfNoSox
 @skipIfNoExec("sox")
 class TestFileObject(FileObjTestBase, PytorchTestCase):
-    _info = partial(get_info_func(), backend="sox")
+    _info = staticmethod(partial(get_info_func(), backend="sox"))
 
     def _query_fileobj(self, ext, dtype, sample_rate, num_channels, num_frames, *, comments=None):
         path = self._gen_file(ext, dtype, sample_rate, num_channels, num_frames, comments=comments)
@@ -353,7 +353,7 @@ def test_fileobj(self, ext, dtype):
 @skipIfNoExec("sox")
 @skipIfNoModule("requests")
 class TestFileObjectHttp(HttpServerMixin, FileObjTestBase, PytorchTestCase):
-    _info = partial(get_info_func(), backend="sox")
+    _info = staticmethod(partial(get_info_func(), backend="sox"))
 
     def _query_http(self, ext, dtype, sample_rate, num_channels, num_frames):
         audio_path = self._gen_file(ext, dtype, sample_rate, num_channels, num_frames)
@@ -387,7 +387,7 @@ def test_requests(self, ext, dtype):
 
 @skipIfNoSox
 class TestInfoNoSuchFile(PytorchTestCase):
-    _info = partial(get_info_func(), backend="sox")
+    _info = staticmethod(partial(get_info_func(), backend="sox"))
 
     def test_info_fail(self):
         """