Bump torchcodec from 0.6.0+metax3.8.1.0 to 0.15.0

[dependabot]

Bumps torchcodec from 0.6.0+metax3.8.1.0 to 0.15.0.

Release notes

Sourced from torchcodec's releases.

TorchCodec 0.15 is out! This is a small release compatible with torch >= 2.11, with the following improvements:

• meta-pytorch/torchcodec#1503 and meta-pytorch/torchcodec#1504 improved decoding coverage on some videos, where a premature "end of file" would otherwise be raised.
• meta-pytorch/torchcodec#1489 optimizes forward seeks - you should see better performance on sparse decoding scenarios, especially on CPU when num_ffmpeg_threads is high.
• Free-threaded wheels are now shipped for MacOS (and Linux, but that was already supported).

TorchCodec 0.14: HDR Video Decoding for CPU & CUDA, and Fast Wav Decoder

TorchCodec 0.14 is out! It is compatible with torch >= 2.11. It comes with two major additions: a fast audio WavDecoder, and support for HDR video decoding!

Fast wav decoder

Inspired by SDPL's fast wav decoder, TorchCodec now has a dedicated WavDecoder for 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.

from torchcodec.decoders import WavDecoder
decoder = WavDecoder("audio.wav")
samples = decoder.get_all_samples()  # AudioSamples with data and sample_rate

Read more in our docs.

HDR Video Decoding

VideoDecoder now supports HDR (High Dynamic Range) video decoding without losing precision. When output_dtype=torch.float32 is specified, the decoder outputs RGB float32 frames in [0, 1], preserving the full HDR color range. This is supported for both CPU and CUDA!

import torch
from torchcodec.decoders import VideoDecoder
decoder = VideoDecoder("hdr_video.mp4", output_dtype=torch.float32)
frame = decoder[0]  # Full HDR precision in float32

Read more in our docs.

⚠️ This feature is in beta stage, so behavior may slightly change depending on user feedback. Let us know if you encounter any issue!

Other Improvements

• Improved audio seeking: AudioDecoder seeking is now much faster (#1449)
• Dropped NPP dependency: TorchCodec no longer depends on NVIDIA's NPP library, which will simplify installing and using TorchCodec for CUDA decoding.

Bug Fixes

• Fix a rare crash scenario during process teardown with the CUDA decoder (#1441)
• Fix CUDA decoding of videos with odd dimensions(#1462)

TorchCodec 0.13

TorchCodec 0.13 is out! It is compatible with torch >= 2.11, and it is packed with new features.

... (truncated)

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[Dongxu-H]

这个 PR 将 torchcodec 从定制版本（0.6.0+metax3.8.1.0 和 3.8.20260624+torch.2.11.0）升级到标准版本 0.15.0。定制版本通常包含平台相关的补丁或优化，升级到标准版本可能会丢失这些定制内容。请确认 enflame-tops1106 和 metax-maca3810 配置组是否与标准 torchcodec 0.15.0 兼容。

[dependabot]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

[Dongxu-H]

/test | clone:iluvatar

[github-actions]

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