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 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 .…