Bump torchcodec from 0.7.0 to 0.8.1 in /tests/python_tests

[dependabot]

Bumps torchcodec from 0.7.0 to 0.8.1.

Release notes

Sourced from torchcodec's releases.

TorchCodec 0.8.1

We are releasing TorchCodec 0.8.1 which is bug-fix release, compatible with torch 2.9.

The fix

In 0.8 we introduced our new "beta" backend which is much faster than our existing CUDA decoder (try it!!). But we also introduced a hard dependency on libnvcuvid.so, which isn't always available on the users machine. This would cause issues when import torchcodec was run.

We have now removed the hard dependency on libnvcuvid.so: if it cannot be found at runtime, the VideoDecoder will gracefully fallback to the CPU. This should resolve a lot of the ongoing import torchcodec errors. We're working on exposing an API that allows the user to know whether they're falling back to the CPU.

Thanks again to @​traversaro for the original diagnosis and for the help testing the fix on Windows!

Enhancement

We also added support for FFmpeg 8 on Windows - we now support FFmpeg 4, 5, 6, 7, and 8 across all platforms (Linux, MacOS and Windows).

TorchCodec 0.8

TorchCodec 0.8 is out, and is compatible with torch 2.9!

Faster GPU decoding!

Faster video decoding on GPU is available, with our new Beta CUDA backend! We have observed up to 3x speedups compared to our previous GPU decoding implementation, and up to 90% NVDEC utilization.

We are releasing it as a Beta feature that we will polish over time, but we are confident it is ready to use, and we are eager to hear your feedback! Eventually, this Beta backend will become the default.

To use it, you just need to specify the "beta" backend when creating the VideoDecoder instance:

from torchcodec.decoders import set_cuda_backend, VideoDecoder
with set_cuda_backend("beta"):
dec = VideoDecoder("file.mp4", device="cuda")
All existing methods are supported
batch = dec.get_frames_at(...)

Custom Frame Mappings

Video decoding now accepts pre-computed frame index data for faster VideoDecoder instantiation speeds, while maintaining exact frame seeking accuracy.

Read more about this feature in our tutorial!

Enhancements

• #935, #947 - Enabled compatibility with FFmpeg8 for Linux and Mac
• #899 - More robust support for 10-bit videos on CUDA.
• #915 - Added support for tensor indices in dec.get_frames_at(indices) and for timestamps in dec.get_frames_played_at(timestamps).

Bug fixes

• #901 - Fixed a rare floating point error in clips_at_regular_timestamps()

Commits

• c47b7df [Release 0.8.1] build wheels (#1001)
• 76d1f64 Release 0.8.1 (#1000)
• e5b6680 Release 0.8 (#933)
• fdd8833 Add docs for set_cuda_backend() CM (#961)
• 48b07cc Refactor CudaDeviceInterface::getCudaContext (#956)
• b084768 Add set_cuda_backend Context Manager to publicly expose the BETA CUDA Inter...
• 61202b9 Update Video Encoder and tests for 6 container formats (#913)
• e5b2eef Transforms bridge between Python and C++ (#948)
• b9f77b5 Add ffmpeg8 to CI for Mac, Linux (#947)
• c3b71e4 Enable local builds with FFmpeg8 (#935)
• Additional commits viewable in compare view

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