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Hi, In the past I have used NVVideoCodec and VPI for gpu accelerated decoding and processing. What would be torchcodec's appeal here? VPI already provides zero-copy interface with pytorch.

Thanks!



1. A higher-level API that better integrates into the PyTorch ecosystem.

2. Ease of going back-and-forth between CPU and GPU; in our experience, there's still a lot of scenarios where CPU decoding makes sense.

3. Audio decoding support.

Please take a look at our tutorials to get a feel for what TorchCodec can do: https://meta-pytorch.org/torchcodec/stable/generated_example...




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