Composer + FFCV: Faster Together

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Composer is pushing the envelope on speed and efficiency in model training. Integrating Composer with FFCV, a fast dataloading library from Aleks Madry’s lab at MIT, unlocks new speedup methods by eliminating the dataloader bottleneck often experienced when using CPU-intensive operations in the training loop. The FFCV dataloader is one of the ingredients of our Mosaic ResNet recipe, which demonstrates how algorithmic efficiency can dramatically speed up model training.

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Composer + FFCV: Faster Together

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