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From tqc...@apache.org
Subject [incubator-tvm-test] branch master updated: Update vta.md
Date Sun, 20 Oct 2019 20:18:50 GMT
This is an automated email from the ASF dual-hosted git repository.

tqchen pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm-test.git


The following commit(s) were added to refs/heads/master by this push:
     new fbf8b84  Update vta.md
fbf8b84 is described below

commit fbf8b84b9185e5b5580a34ce16926e3a7ff04aef
Author: Tianqi Chen <tqchen@users.noreply.github.com>
AuthorDate: Tue Aug 13 21:26:22 2019 -0700

    Update vta.md
---
 vta.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/vta.md b/vta.md
index ca38d15..5bdca4a 100644
--- a/vta.md
+++ b/vta.md
@@ -18,7 +18,7 @@ By extending the TVM stack with a customizable, and open source deep learning
ha
 This forms a truly end-to-end, from software-to-hardware open source stack for deep learning
systems.
 
 {:center: style="text-align: center"}
-![image](http://raw.githubusercontent.com/uwsaml/web-data/master/vta/blogpost/vta_stack.png){:
width="50%"}
+![image](http://raw.githubusercontent.com/uwsampl/web-data/master/vta/blogpost/vta_stack.png){:
width="50%"}
 {:center}
 
 The VTA and TVM stack together constitute a blueprint for end-to-end, accelerator-centric
deep learning system that can:
@@ -27,7 +27,7 @@ The VTA and TVM stack together constitute a blueprint for end-to-end, accelerato
 - Lower the barrier of entry for machine learning practitioners to experiment with novel
network architectures, operators and data representations that require specialized hardware
support.
 
 
-VTA is a component of TVM which was a research project at the [SAML group](https://saml.cs.washington.edu/)
of
+VTA is a component of TVM which was a research project at the [SAMPL group](https://sampl.cs.washington.edu/)
of
 Paul G. Allen School of Computer Science & Engineering, University of Washington. The
project is now driven by an open source community involving multiple industry and academic
institutions.
 The project adopts [Apache-style merit based governace model](https://docs.tvm.ai/contribute/community.html).
 


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