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Indicate FFmpeg8 support in docs #971

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Merged
merged 3 commits into from
Oct 16, 2025
Merged

Indicate FFmpeg8 support in docs #971

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328dd71
update readme, error msg
Oct 16, 2025
6c59909
specify ffmpeg8 support
Oct 16, 2025
6a308d0
remove mac mention in GPU section
Oct 16, 2025
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7 changes: 4 additions & 3 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -107,8 +107,8 @@ ffmpeg -f lavfi -i \
`torch` and `torchcodec`.

2. Install FFmpeg, if it's not already installed. Linux distributions usually
come with FFmpeg pre-installed. TorchCodec supports all major FFmpeg versions
in [4, 7].
come with FFmpeg pre-installed. TorchCodec supports major FFmpeg versions
in [4, 7] on all platforms, and FFmpeg version 8 is supported on Mac and Linux.

If FFmpeg is not already installed, or you need a more recent version, an
easy way to install it is to use `conda`:
Expand Down Expand Up @@ -147,7 +147,8 @@ format you want. Refer to Nvidia's GPU support matrix for more details
[here](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new).

1. Install FFmpeg with NVDEC support.
TorchCodec with CUDA should work with FFmpeg versions in [4, 7].
TorchCodec with CUDA should work with FFmpeg versions in [4, 7] on all platforms,
and FFmpeg version 8 is supported on Linux.

If FFmpeg is not already installed, or you need a more recent version, an
easy way to install it is to use `conda`:
Expand Down
2 changes: 1 addition & 1 deletion src/torchcodec/_core/ops.py
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Expand Up @@ -69,7 +69,7 @@ def load_torchcodec_shared_libraries():
raise RuntimeError(
f"""Could not load libtorchcodec. Likely causes:
1. FFmpeg is not properly installed in your environment. We support
versions 4, 5, 6 and 7.
versions 4, 5, 6, and 7 on all platforms, and 8 on Mac and Linux.
2. The PyTorch version ({torch.__version__}) is not compatible with
this version of TorchCodec. Refer to the version compatibility
table:
Expand Down
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