From 81dfe273fcfe7083d4c15ea71f93a910650cd5b6 Mon Sep 17 00:00:00 2001 From: Wei Wen Date: Mon, 19 Nov 2018 14:14:55 -0500 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4feb9da..051f5ab 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Introduction -**The implementations of quantization and de-quantization operators are now available in [Caffe2/Pytorch 1.0](https://github.com/pytorch/pytorch/blob/master/caffe2/operators/fused_rowwise_random_quantization_ops.cc) ([an example](https://github.com/pytorch/pytorch/blob/master/caffe2/python/operator_test/rand_quantization_op_test.py)). TernGrad is landed into Facebook AI platform in production to overcome communication bottleneck in large-scale training.** +**The implementations of quantization and de-quantization operators are now available in [Caffe2/Pytorch 1.0](https://github.com/pytorch/pytorch/blob/master/caffe2/operators/fused_rowwise_random_quantization_ops.cc) ([an example](https://github.com/pytorch/pytorch/blob/master/caffe2/python/operator_test/rand_quantization_op_test.py)). TernGrad is landed into Facebook AI platforms in production to overcome communication bottleneck in large-scale training.** This repo is the TensorFlow code for our oral paper in NIPS 2017 ([TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning](https://papers.nips.cc/paper/6749-terngrad-ternary-gradients-to-reduce-communication-in-distributed-deep-learning.pdf)).