How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp
Quick Take
This article discusses optimizing Transformer training using NVIDIA Apex's FusedAdam and FusedLayerNorm, alongside native torch.amp. By building Apex from source and benchmarking these fused kernels, significant performance improvements in training speed can be achieved, benefiting developers and researchers in deep learning.
Key Points
- NVIDIA Apex enables faster Transformer training with FusedAdam and FusedLayerNorm.
- Benchmarking shows significant speed improvements in training efficiency.
- Developers can leverage torch.amp for enhanced performance.
- Building Apex from source is essential for detecting fused kernels.
- Optimizations benefit both researchers and industry practitioners.
Article Excerpt
From source RSS / original summaryWe build NVIDIA Apex from source, detect fused kernels, and benchmark FusedAdam, FusedLayerNorm, and torch. amp in Transformer training. The post How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch. amp appeared first on MarkTechPost.
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