NeuralSeed
DALI
NeuralSeed | DALI | |
---|---|---|
1 | 5 | |
79 | 4,917 | |
- | 1.0% | |
6.9 | 9.6 | |
about 1 year ago | 1 day ago | |
C++ | C++ | |
MIT License | Apache License 2.0 |
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NeuralSeed
DALI
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[D] Will data augmentations work faster on TPUs?
Another option is DALI https://github.com/NVIDIA/DALI For my project while training EfficientNet2, it was a game changer. But it a way harder to implement in code than TorchVision or Kornia.
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DirectStorage - Loading data to GPU *directly* from the SSD drive, almost without using CPU
Check out https://github.com/nvidia/DALI
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mmap_ninja: Speedup your training dramatically by using memory-mapped files for your dataset
Small question if you are using GPU: How to this compare to GPUDirect Storage from Nvidia? can you have even more speedup by using both? I never toy with it, but the DALI project from Nvidia seem to tackle the same data loading problem.
- [D] Efficiently loading videos in PyTorch without extracting frames
What are some alternatives?
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