From 2d76aa3a4e42ff8494b2b5ff05febbd2b1dbbdb8 Mon Sep 17 00:00:00 2001 From: Nick Fraser Date: Thu, 15 Feb 2024 11:24:32 +0000 Subject: [PATCH] Docs: Updated README for v0.10.1 release --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 43614016c..fe4790cbb 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ For each one of these layers, quantization of different tensors (inputs, weights As a reference for PTQ, Brevitas provides an example user flow for ImageNet classification models under [`brevitas_examples.imagenet_classification.ptq`](https://github.com/Xilinx/brevitas/blob/master/src/brevitas_examples/imagenet_classification/ptq/ptq_evaluate.py) that quantizes an input torchvision model using PTQ under different quantization configurations (e.g. bit-width, granularity of scale, etc). -For more info, checkout https://xilinx.github.io/brevitas/getting_started . +For more info, checkout our [getting started guide](https://xilinx.github.io/brevitas/getting_started). ## Cite as @@ -50,6 +50,7 @@ If you adopt Brevitas in your work, please cite it as: ## History +- *2024/02/15* - Minor release version 0.10.1, see the [release notes](https://github.com/Xilinx/brevitas/releases/tag/v0.10.1). - *2023/12/08* - Release version 0.10.0, see the [release notes](https://github.com/Xilinx/brevitas/releases/tag/v0.10.0). - *2023/04/28* - Minor release version 0.9.1, see the [release notes](https://github.com/Xilinx/brevitas/releases/tag/v0.9.1). - *2023/04/21* - Release version 0.9.0, see the [release notes](https://github.com/Xilinx/brevitas/releases/tag/v0.9.0).