Update README.md

facebookresearch · Feb 7, 2020 · d3d5138 · d3d5138
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@@ -23,7 +23,7 @@ If you find our work useful in your research, please consider citing:
 
 ## Installation
 
-Install [Pytorch](https://pytorch.org/get-started/locally/) and [Tensorflow](https://github.com/tensorflow/tensorflow) (for TensorBoard). It is required that you have access to GPUs. Matlab is required to prepare data for SUN RGB-D. The code is tested with Ubuntu 18.04, Pytorch v1.1, TensorFlow v1.14, CUDA 10.0 and cuDNN v7.4. Note: there is some incompatibility with newer version of Pytorch (e.g. v1.3), which is to be fixed.
+Install [Pytorch](https://pytorch.org/get-started/locally/) and [Tensorflow](https://github.com/tensorflow/tensorflow) (for TensorBoard). It is required that you have access to GPUs. Matlab is required to prepare data for SUN RGB-D. The code is tested with Ubuntu 18.04, Pytorch v1.1, TensorFlow v1.14, CUDA 10.0 and cuDNN v7.4. Note: After a code update on 2/6/2020, the code is now also compatible with Pytorch v1.2+
 
 Compile the CUDA layers for [PointNet++](http://arxiv.org/abs/1706.02413), which we used in the backbone network: