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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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robertknight committed Dec 23, 2024
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1 change: 1 addition & 0 deletions rten-bench/README.md
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Internal benchmarking utilities used in RTen development.
4 changes: 4 additions & 0 deletions rten-generate/README.md
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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.
4 changes: 2 additions & 2 deletions rten-imageio/README.md
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# rten-imageio

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.
2 changes: 2 additions & 0 deletions rten-simd/src/README.md
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This crate contains RTen's portable SIMD library. It is used to implement
vectorized kernels for neural network operators.

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