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These are short introductions to what each crate is for, mainly for use when perusing the repository on GitHub.
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Internal benchmarking utilities used in RTen development. |
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rten-generate is a layer on top of RTen which handles the generation loop for | ||
auto-regressive transformer models (aka. "transformer decoders" or "generative | ||
AI"). This includes managing the KV cache, sampling and post-processing logits | ||
etc. |
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# rten-imageio | ||
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Library for loading images and converting them to [NdTensor]s that can be | ||
used as inputs for RTen models. | ||
Crate for loading images and converting them to tensors that can be used as | ||
inputs for RTen models. |
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This crate contains RTen's portable SIMD library. It is used to implement | ||
vectorized kernels for neural network operators. |