xFormers is an open-source library developed by Facebook AI Research, designed to provide customizable and optimized building blocks for Transformer architectures. It aims to facilitate the rapid development and experimentation of Transformer models across various domains, including natural language processing and computer vision.
The library offers a collection of composable components that can be integrated into existing workflows without extensive boilerplate code. These components are domain-agnostic, making xFormers a versatile tool for researchers and practitioners.
xFormers is built with efficiency in mind, featuring its own CUDA kernels and dispatching to other libraries when relevant. This design choice ensures that components are as fast and memory-efficient as possible, which is crucial for large-scale model training and inference.
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