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12 lines
640 B
Plaintext
12 lines
640 B
Plaintext
xFormers is a Toolbox to Accelerate Research on Transformers.
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xFormers is:
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* Customizable building blocks: Independent/customizable building blocks that
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can be used without boilerplate code. The components are domain-agnostic and
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xFormers is used by researchers in vision, NLP and more.
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* Research first: xFormers contains bleeding-edge components, that are not yet
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available in mainstream libraries like PyTorch.
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* Built with efficiency in mind: Because speed of iteration matters, components
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are as fast and memory-efficient as possible. xFormers contains its own CUDA
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kernels, but dispatches to other libraries when relevant.
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