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Published
20 hours ago •
pytorch
pytorch
Loading Opus files from MLS dataset fails because of file metadata
🐛 Describe the bug
I'm using MLS in Opus. For example trying to load 11956_10613_000004.opus.tar.gz. Loading works fine for other datasets.
import torchaudio
torchaudio.load("11956_10613_000004.opus")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/p.niemiec/Repos/EfficientAT/.pixi/envs/default/lib/python3.11/site-packages/torchaudio/_backend/utils.py", line 205, in load
return backend.load(uri, frame_offset, num_frames, normalize, channels_first, format, buffer_size)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/p.niemiec/Repos/EfficientAT/.pixi/envs/default/lib/python3.11/site-packages/torchaudio/_backend/ffmpeg.py", line 297, in load
return load_audio(uri, frame_offset, num_frames, normalize, channels_first, format)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/p.niemiec/Repos/EfficientAT/.pixi/envs/default/lib/python3.11/site-packages/torchaudio/_backend/ffmpeg.py", line 89, in load_audio
sample_rate = int(s.get_src_stream_info(s.default_audio_stream).sample_rate)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/p.niemiec/Repos/EfficientAT/.pixi/envs/default/lib/python3.11/site-packages/torio/io/_streaming_media_decoder.py", line 587, in get_src_stream_info
return _parse_si(self._be.get_src_stream_info(i))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/p.niemiec/Repos/EfficientAT/.pixi/envs/default/lib/python3.11/site-packages/torio/io/_streaming_media_decoder.py", line 121, in _parse_si
metadata=i.metadata,
^^^^^^^^^^
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 9: invalid continuation byte
Quick fix is to not use i.metadata:
torio/io/_streaming_media_decoder.py, line 121, in _parse_si
metadata=i.metadata,
to metadata={},.
Most usually there is no important information in metadata but it's certainly surprise error.
Versions
Can't run collect_env.py. I'm using Pixi for environment setup and I don't have pip.
pixi list
Package Version Build Size Kind Source
_libgcc_mutex 0.1 conda_forge 2.5 KiB conda _libgcc_mutex-0.1-conda_forge.tar.bz2
_openmp_mutex 4.5 2_kmp_llvm 5.6 KiB conda _openmp_mutex-4.5-2_kmp_llvm.tar.bz2
absl-py 2.1.0 pyhd8ed1ab_0 104.8 KiB conda absl-py-2.1.0-pyhd8ed1ab_0.conda
aom 3.9.1 hac33072_0 2.6 MiB conda aom-3.9.1-hac33072_0.conda
attrs 23.2.0 pyh71513ae_0 53.3 KiB conda attrs-23.2.0-pyh71513ae_0.conda
audioread 3.0.1 py311h38be061_1 43.9 KiB conda audioread-3.0.1-py311h38be061_1.conda
blas 1.0 mkl 1.3 KiB conda blas-1.0-mkl.tar.bz2
brotli 1.1.0 hd590300_1 18.9 KiB conda brotli-1.1.0-hd590300_1.conda
brotli-bin 1.1.0 hd590300_1 18.5 KiB conda brotli-bin-1.1.0-hd590300_1.conda
brotli-python 1.1.0 py311hb755f60_1 343.1 KiB conda brotli-python-1.1.0-py311hb755f60_1.conda
bzip2 1.0.8 h4bc722e_7 246.9 KiB conda bzip2-1.0.8-h4bc722e_7.conda
c-ares 1.32.3 h4bc722e_0 175.5 KiB conda c-ares-1.32.3-h4bc722e_0.conda
ca-certificates 2024.7.4 hbcca054_0 151.2 KiB conda ca-certificates-2024.7.4-hbcca054_0.conda
cairo 1.18.0 hebfffa5_3 960.6 KiB conda cairo-1.18.0-hebfffa5_3.conda
certifi 2024.7.4 pyhd8ed1ab_0 155.6 KiB conda certifi-2024.7.4-pyhd8ed1ab_0.conda
cffi 1.16.0 py311hb3a22ac_0 293.2 KiB conda cffi-1.16.0-py311hb3a22ac_0.conda
charset-normalizer 3.3.2 pyhd8ed1ab_0 45.5 KiB conda charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
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contourpy 1.2.1 py311h9547e67_0 252.9 KiB conda contourpy-1.2.1-py311h9547e67_0.conda
cuda-cudart 12.4.99 hd3aeb46_0 21.9 KiB conda cuda-cudart-12.4.99-hd3aeb46_0.conda
cuda-cudart_linux-64 12.4.99 h59595ed_0 182.3 KiB conda cuda-cudart_linux-64-12.4.99-h59595ed_0.conda
cuda-cupti 12.4.127 he02047a_2 1.8 MiB conda cuda-cupti-12.4.127-he02047a_2.conda
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cuda-opencl 12.4.99 h59595ed_0 29.4 KiB conda cuda-opencl-12.4.99-h59595ed_0.conda
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python-dateutil 2.9.0 pyhd8ed1ab_0 217.5 KiB conda python-dateutil-2.9.0-pyhd8ed1ab_0.conda
python_abi 3.11 4_cp311 6.2 KiB conda python_abi-3.11-4_cp311.conda
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snappy 1.2.1 ha2e4443_0 41.5 KiB conda snappy-1.2.1-ha2e4443_0.conda
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soxr 0.1.3 h0b41bf4_3 128.3 KiB conda soxr-0.1.3-h0b41bf4_3.conda
soxr-python 0.4.0 py311h07ce7c0_0 269.1 KiB conda soxr-python-0.4.0-py311h07ce7c0_0.conda
svt-av1 2.1.2 hac33072_0 2.2 MiB conda svt-av1-2.1.2-hac33072_0.conda
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tensorboard-data-server 0.7.0 py311h63ff55d_1 4.6 MiB conda tensorboard-data-server-0.7.0-py311h63ff55d_1.conda
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tk 8.6.13 noxft_h4845f30_101 3.2 MiB conda tk-8.6.13-noxft_h4845f30_101.conda
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x264 1!164.3095 h166bdaf_2 876.5 KiB conda x264-1!164.3095-h166bdaf_2.tar.bz2
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xorg-libice 1.1.1 hd590300_0 57.1 KiB conda xorg-libice-1.1.1-hd590300_0.conda
xorg-libsm 1.2.4 h7391055_0 26.8 KiB conda xorg-libsm-1.2.4-h7391055_0.conda
xorg-libx11 1.8.9 hb711507_1 812.7 KiB conda xorg-libx11-1.8.9-hb711507_1.conda
xorg-libxau 1.0.11 hd590300_0 14.1 KiB conda xorg-libxau-1.0.11-hd590300_0.conda
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xorg-libxext 1.3.4 h0b41bf4_2 49 KiB conda xorg-libxext-1.3.4-h0b41bf4_2.conda
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xorg-libxrender 0.9.11 hd590300_0 36.9 KiB conda xorg-libxrender-0.9.11-hd590300_0.conda
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xorg-xextproto 7.3.0 h0b41bf4_1003 29.6 KiB conda xorg-xextproto-7.3.0-h0b41bf4_1003.conda
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xz 5.2.6 h166bdaf_0 408.6 KiB conda xz-5.2.6-h166bdaf_0.tar.bz2
yaml 0.2.5 h7f98852_2 87.1 KiB conda yaml-0.2.5-h7f98852_2.tar.bz2
zipp 3.19.2 pyhd8ed1ab_0 20.4 KiB conda zipp-3.19.2-pyhd8ed1ab_0.conda
zlib 1.3.1 h4ab18f5_1 90.8 KiB conda zlib-1.3.1-h4ab18f5_1.conda
zstandard 0.23.0 py311h5cd10c7_0 406.6 KiB conda zstandard-0.23.0-py311h5cd10c7_0.conda
zstd 1.5.6 ha6fb4c9_0 541.8 KiB conda zstd-1.5.6-ha6fb4c9_0.conda
