NVIDIA has open sourced NVVL, a library that provides GPU accelerated video decoding for DL training.
NVIDIA has also provided a super-resolution example project which quantifies the performance advantage of using NVVL. When training this example project on a NVIDIA DGX-1, the CPU load when using NVVL was 50-60% of the load seen when using a normal dataloader for .png files.
There is a wrapper for PyTorch available as most users will want to use the deep learning framework wrappers rather than using the library directly.
For a complete list of details and code files, visit the NVIDIA Github.
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