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from the album VUR-core7

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May be a version issue with `ffmpeg` in the Windows environment. * * * Diagnosis: Windows cannot find compatible FFmpeg DLLs for TorchCodec, or your Torch↔TorchCodec versions don’t match. The probe `core7 → core6 → core5 → core4` failing is TorchCodec’s normal fallback when the FFmpeg runtime it needs isn’t available. (GitHub) # Causes * FFmpeg runtime DLLs missing or not discoverable. Having `ffmpeg.exe` on PATH is not enough; the loader must see `avcodec-*.dll`, `avformat-*.dll`, `avutil-*.dll`. (docs.pytorch.org) * Unsupported FFmpeg major on Windows. TorchCodec supports FFmpeg 4–7 on all platforms and FFmpeg 8 on macOS/Linux. Using 8 on Windows fails with current wheels. (GitHub) * Torch↔TorchCodec mismatch or RC/nightly torch. Follow the version matrix: `0.8 ↔ torch 2.9`, `0.7 ↔ torch 2.8`, Python 3.10–3.13. Mismatches trigger the exact error you pasted. (GitHub) * Homebrew or custom FFmpeg builds with incompatible layouts (mac users). Known incompatibility reported; conda-forge FFmpeg works. (GitHub) # Fixes (pick one path, do it end-to-end) ## A) Windows, CPU-only, stable # fresh venv python -m venv .venv .\.venv\Scripts\Activate.ps1 pip install -U pip # choose a matched pair (pick one) pip install "torch==2.9.*" "torchcodec==0.8.*" # or # pip install "torch==2.8.*" "torchcodec==0.7.*" # install shared FFmpeg DLLs via conda-forge (<8 on Windows) # run this in an Anaconda/Miniconda prompt conda install -y -c conda-forge "ffmpeg<8" # make DLLs visible to Python (adjust path to your conda root) set PATH=C:\Miniconda3\Library\bin;%PATH% # sanity checks python - <<'PY' import torch, torchcodec, platform, subprocess print("torch", torch.__version__, "torchcodec", torchcodec.__version__, "py", platform.python_version()) subprocess.run(["ffmpeg","-version"], check=True) PY Why this works: TorchCodec requires FFmpeg 4–7 on Windows and matched Torch↔TorchCodec versions; conda-forge provides the needed DLLs in `Library\bin`. (GitHub) ## B) Windows, CUDA Use conda for both Torch and TorchCodec and conda-forge FFmpeg. conda create -n tcuda python=3.10 -y conda activate tcuda # install torch for your CUDA per pytorch.org conda install -c conda-forge "ffmpeg<8" conda install -c conda-forge "torchcodec=*=*cuda*" Windows CUDA support is experimental and conda-first in the docs. (GitHub) ## C) macOS/Linux notes If you used Homebrew FFmpeg on mac and see the same error, switch to conda-forge FFmpeg. FFmpeg 8 is supported on macOS/Linux starting TorchCodec 0.8. (GitHub) # Quick triage checks * Print versions. If they don’t match the table, reinstall with a supported pair. `python -c "import torch,torchcodec,platform;print(torch.__version__, torchcodec.__version__, platform.python_version())"` (GitHub) * Confirm FFmpeg runtime is on PATH for the same shell that launches Python. `ffmpeg -version` should succeed. If it does but TorchCodec still fails, you likely pointed to a static or CLI-only FFmpeg without DLLs. (docs.pytorch.org) * Avoid RC/nightly Torch with stable TorchCodec; #912 documents the loader error with 2.9 RC. (GitHub) # Minimal workaround if you can’t fix FFmpeg now Preconvert MP3 → WAV and pass the WAV to your pipeline: ffmpeg -i lsy_audio_2023_58s.mp3 -ar 16000 -ac 1 -y lsy_audio_2023_58s.wav This sidesteps MP3 decoding but does not fix the root cause. (GitHub) # Context and background * TorchCodec loads FFmpeg at runtime and tries majors 7→6→5→4. The error you saw is the expected probe sequence when the needed FFmpeg DLLs are missing or incompatible. The README and downstream reports show the same pattern. (GitHub) * Windows support is recent and labeled beta; the releases and Windows tracker call out rough edges. Expect stricter version discipline. (GitHub) # Short, curated references **Primary docs** * TorchCodec README: FFmpeg 4–7 on all platforms, 8 on macOS/Linux; version matrix; Windows notes. (GitHub) * Torchaudio install page: how to install FFmpeg and how discovery works on Windows. (docs.pytorch.org) **Issue reports matching your symptoms** * HF Datasets 4.0: exact `Could not load libtorchcodec` probe trace when FFmpeg libs are missing or versions mismatch. (GitHub) * TorchCodec #912: loader failure with Torch 2.9 RC. Confirms mismatch cause. (GitHub) * macOS Homebrew FFmpeg incompatibility: use conda-forge FFmpeg. (GitHub)

May be a version issue with `ffmpeg` in the Windows environment. * * * Diagnosis: Windows cannot find compatible FFmpeg DLLs for TorchCodec, or your Torch↔TorchCodec versions don’t match. The probe `core7 → core6 → core5 → core4` failing is TorchCodec’s normal fallback when the FFmpeg runtime it needs isn’t available. (GitHub) # Causes * FFmpeg runtime DLLs missing or not discoverable. Having `ffmpeg.exe` on PATH is not enough; the loader must see `avcodec-*.dll`, `avformat-*.dll`, `avutil-*.dll`. (docs.pytorch.org) * Unsupported FFmpeg major on Windows. TorchCodec supports FFmpeg 4–7 on all platforms and FFmpeg 8 on macOS/Linux. Using 8 on Windows fails with current wheels. (GitHub) * Torch↔TorchCodec mismatch or RC/nightly torch. Follow the version matrix: `0.8 ↔ torch 2.9`, `0.7 ↔ torch 2.8`, Python 3.10–3.13. Mismatches trigger the exact error you pasted. (GitHub) * Homebrew or custom FFmpeg builds with incompatible layouts (mac users). Known incompatibility reported; conda-forge FFmpeg works. (GitHub) # Fixes (pick one path, do it end-to-end) ## A) Windows, CPU-only, stable # fresh venv python -m venv .venv .\.venv\Scripts\Activate.ps1 pip install -U pip # choose a matched pair (pick one) pip install "torch==2.9.*" "torchcodec==0.8.*" # or # pip install "torch==2.8.*" "torchcodec==0.7.*" # install shared FFmpeg DLLs via conda-forge (<8 on Windows) # run this in an Anaconda/Miniconda prompt conda install -y -c conda-forge "ffmpeg<8" # make DLLs visible to Python (adjust path to your conda root) set PATH=C:\Miniconda3\Library\bin;%PATH% # sanity checks python - <<'PY' import torch, torchcodec, platform, subprocess print("torch", torch.__version__, "torchcodec", torchcodec.__version__, "py", platform.python_version()) subprocess.run(["ffmpeg","-version"], check=True) PY Why this works: TorchCodec requires FFmpeg 4–7 on Windows and matched Torch↔TorchCodec versions; conda-forge provides the needed DLLs in `Library\bin`. (GitHub) ## B) Windows, CUDA Use conda for both Torch and TorchCodec and conda-forge FFmpeg. conda create -n tcuda python=3.10 -y conda activate tcuda # install torch for your CUDA per pytorch.org conda install -c conda-forge "ffmpeg<8" conda install -c conda-forge "torchcodec=*=*cuda*" Windows CUDA support is experimental and conda-first in the docs. (GitHub) ## C) macOS/Linux notes If you used Homebrew FFmpeg on mac and see the same error, switch to conda-forge FFmpeg. FFmpeg 8 is supported on macOS/Linux starting TorchCodec 0.8. (GitHub) # Quick triage checks * Print versions. If they don’t match the table, reinstall with a supported pair. `python -c "import torch,torchcodec,platform;print(torch.__version__, torchcodec.__version__, platform.python_version())"` (GitHub) * Confirm FFmpeg runtime is on PATH for the same shell that launches Python. `ffmpeg -version` should succeed. If it does but TorchCodec still fails, you likely pointed to a static or CLI-only FFmpeg without DLLs. (docs.pytorch.org) * Avoid RC/nightly Torch with stable TorchCodec; #912 documents the loader error with 2.9 RC. (GitHub) # Minimal workaround if you can’t fix FFmpeg now Preconvert MP3 → WAV and pass the WAV to your pipeline: ffmpeg -i lsy_audio_2023_58s.mp3 -ar 16000 -ac 1 -y lsy_audio_2023_58s.wav This sidesteps MP3 decoding but does not fix the root cause. (GitHub) # Context and background * TorchCodec loads FFmpeg at runtime and tries majors 7→6→5→4. The error you saw is the expected probe sequence when the needed FFmpeg DLLs are missing or incompatible. The README and downstream reports show the same pattern. (GitHub) * Windows support is recent and labeled beta; the releases and Windows tracker call out rough edges. Expect stricter version discipline. (GitHub) # Short, curated references **Primary docs** * TorchCodec README: FFmpeg 4–7 on all platforms, 8 on macOS/Linux; version matrix; Windows notes. (GitHub) * Torchaudio install page: how to install FFmpeg and how discovery works on Windows. (docs.pytorch.org) **Issue reports matching your symptoms** * HF Datasets 4.0: exact `Could not load libtorchcodec` probe trace when FFmpeg libs are missing or versions mismatch. (GitHub) * TorchCodec #912: loader failure with Torch 2.9 RC. Confirms mismatch cause. (GitHub) * macOS Homebrew FFmpeg incompatibility: use conda-forge FFmpeg. (GitHub)