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lmzheng pushed a commit to branch pr-siyuan
in repository https://gitbox.apache.org/repos/asf/tvm.git

commit e3b5ec446daf8c1d082f009423d2e54451c649fa
Author: Lianmin Zheng <[email protected]>
AuthorDate: Sat Mar 19 12:36:26 2022 -0700

    [skip-ci][COMMUNITY] siyuan to PMC
---
 CONTRIBUTORS.md                                            | 2 +-
 gallery/how_to/tune_with_autoscheduler/tune_network_arm.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md
index 0b3e605..fa79a72 100644
--- a/CONTRIBUTORS.md
+++ b/CONTRIBUTORS.md
@@ -35,7 +35,7 @@ We do encourage everyone to work anything they are interested 
in.
 - [Tianqi Chen](https://github.com/tqchen) (PMC): @tqchen - topi, compiler, 
relay, docs
 - [Wei Chen](https://github.com/wweic): @wweic - runtime, relay, vm
 - [Zhi Chen](https://github.com/zhiics) (PMC): @zhiics - relay, quantization, 
pass manager
-- [Siyuan Feng](https://github.com/Hzfengsy): @Hzfengsy - tir
+- [Siyuan Feng](https://github.com/Hzfengsy) (PMC): @Hzfengsy - tir
 - [Josh Fromm](https://github.com/jwfromm): @jwfromm - frontends, 
quantization, topi
 - [Bohan Hou](https://github.com/spectrometerHBH): @spectrometerHBH - tir, 
arith, tvm-script
 - [Yuwei Hu](https://github.com/Huyuwei): @Huyuwei - topi, frontends
diff --git a/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py 
b/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py
index 1619a55..9c5820c 100644
--- a/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py
+++ b/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py
@@ -17,8 +17,8 @@
 """
 Auto-scheduling a Neural Network for ARM CPU
 =============================================
-**Author**: `Thierry Moreau <https://github.com/tmoreau89>_`, \
-            `Lianmin Zheng <https://github.com/merrymercy>_`, \
+**Author**: `Thierry Moreau <https://github.com/tmoreau89>`_, \
+            `Lianmin Zheng <https://github.com/merrymercy>`_, \
             `Chengfan Jia <https://github.com/jcf94/>`_
 
 Auto-tuning for specific devices and workloads is critical for getting the

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