Update PyTorch dependencies to v0.14.0#9
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This PR contains the following updates:
==0.13.0β==0.14.0Release Notes
pytorch/torchcodec (torchcodec)
v0.14.0: TorchCodec 0.14Compare Source
TorchCodec 0.14 is out! It is compatible with
torch >= 2.11. It comes with two major additions: a fast audioWavDecoder, and support for HDR video decoding!Fast wav decoder
TorchCodec now has a dedicated
WavDecoderfor decoding WAV files. It bypasses FFmpeg entirely and reads WAV data directly, resulting in significantly faster decoding. It supports multiple sample formats (int16, int32, float32, etc.), and can decode from files, bytes, or file-like objects.Read more in our docs.
HDR Video Decoding
VideoDecodernow supports HDR (High Dynamic Range) video decoding without losing precisio. Whenoutput_dtype=torch.float32is specified, the decoder outputs RGB float32 frames in[0, 1], preserving the full HDR color range. This is supported for both CPU and CUDA!Read more in our docs.
Other Improvements
AudioDecoderseeking is now much faster (#β1449)TorchCodecno longer depends on NVIDIA's NPP library, which will simplify installing and using TorchCodec for CUDA decoding.Bug Fixes
Configuration
π Schedule: (UTC)
π¦ Automerge: Disabled by config. Please merge this manually once you are satisfied.
β» Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
π Ignore: Close this PR and you won't be reminded about this update again.
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