Support GPU Image Decoding#249
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e.g. resetting the state properly after ending a generator, saving state of sample buffer, skipping state of watchdog, log, gc dataset. Adapt required changes in tests. Add typing to specific saved states (instead of FlexState). Make debug output conditional.
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returns correct images
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This PR adds support for image decoding on GPU using NVImageCodec
NVImageCodec supports CUDA accelerated decoding of most common image formats and in particular supports the hardware JPEG decoding chip on modern NVIDIA GPUs.
Users can now specify a
image_decode_deviceargument which can becpu,gpuor an integer CUDA device ordinal. Rhis will transparently invoke NVImageCodec and return a tensor already on GPU. If NVImageCodec fails for any reason, the current behavior is to keep the webdataset autodecode path and fall back on it for CPU decoding.