You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@tvm.apache.org by li...@apache.org on 2019/11/27 00:42:16 UTC
[incubator-tvm] 01/02: [DOCS] Update main website to tvm.apache.org
(#4429)
This is an automated email from the ASF dual-hosted git repository.
liuyizhi pushed a commit to branch v0.6
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
commit a5d14af65d44714c5c6eede37a71695f50c69e7e
Author: Tianqi Chen <tq...@users.noreply.github.com>
AuthorDate: Tue Nov 26 14:40:26 2019 -0800
[DOCS] Update main website to tvm.apache.org (#4429)
* [DOCS] Update main website to tvm.apache.org
* Update jvm pom repo loc
* Change the org to asf
* Update ci addr to new one
---
README.md | 6 +++---
docs/vta/index.rst | 2 +-
jvm/pom.xml | 8 ++++----
tutorials/autotvm/tune_conv2d_cuda.py | 2 +-
4 files changed, 9 insertions(+), 9 deletions(-)
diff --git a/README.md b/README.md
index ad121f6..b5a3860 100644
--- a/README.md
+++ b/README.md
@@ -15,14 +15,14 @@
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->
-<img src=https://raw.githubusercontent.com/tqchen/tvm.ai/master/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack
+<img src=https://raw.githubusercontent.com/apache/incubator-tvm-site/master/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack
==============================================
[Documentation](https://docs.tvm.ai) |
[Contributors](CONTRIBUTORS.md) |
-[Community](https://tvm.ai/community.html) |
+[Community](https://tvm.apache.org/community) |
[Release Notes](NEWS.md)
-[](http://ci.tvm.ai:8080/job/tvm/job/master/)
+[](https://ci.tvm.ai/job/tvm/job/master/)
[](https://dev.azure.com/tvmai/tvm/_build/latest?definitionId=2&branchName=master)
Apache TVM (incubating) is a compiler stack for deep learning systems. It is designed to close the gap between the
diff --git a/docs/vta/index.rst b/docs/vta/index.rst
index 9dc281d..b719e2d 100644
--- a/docs/vta/index.rst
+++ b/docs/vta/index.rst
@@ -49,5 +49,5 @@ Literature
- Read the VTA `release blog post`_.
- Read the VTA tech report: `An Open Hardware Software Stack for Deep Learning`_.
-.. _release blog post: https://tvm.ai/2018/07/12/vta-release-announcement.html
+.. _release blog post: https://tvm.apache.org/2018/07/12/vta-release-announcement
.. _An Open Hardware Software Stack for Deep Learning: https://arxiv.org/abs/1807.04188
\ No newline at end of file
diff --git a/jvm/pom.xml b/jvm/pom.xml
index 5205abf..b563dd1 100644
--- a/jvm/pom.xml
+++ b/jvm/pom.xml
@@ -10,8 +10,8 @@
<url>https://github.com/apache/incubator-tvm/tree/master/jvm</url>
<description>TVM4J Package</description>
<organization>
- <name>Distributed (Deep) Machine Learning Community</name>
- <url>http://dmlc.ml</url>
+ <name>Apache Software Foundation</name>
+ <url>https://apache.org</url>
</organization>
<licenses>
<license>
@@ -20,8 +20,8 @@
</license>
</licenses>
<scm>
- <connection>scm:git:git@github.com:dmlc/tvm.git</connection>
- <developerConnection>scm:git:git@github.com:dmlc/tvm.git</developerConnection>
+ <connection>scm:git:git@github.com:apache/incubator-tvm.git</connection>
+ <developerConnection>scm:git:git@github.com:apache/incubator-tvm.git</developerConnection>
<url>https://github.com/apache/incubator-tvm</url>
</scm>
diff --git a/tutorials/autotvm/tune_conv2d_cuda.py b/tutorials/autotvm/tune_conv2d_cuda.py
index a367c99..09b5604 100644
--- a/tutorials/autotvm/tune_conv2d_cuda.py
+++ b/tutorials/autotvm/tune_conv2d_cuda.py
@@ -60,7 +60,7 @@ from tvm import autotvm
# There are plenty of useful schedule primitives in tvm. You can also find
# some tutorials that describe them in more details, such as
# (1). :ref:`opt-conv-gpu`
-# (2). `Optimizing DepthwiseConv on NVIDIA GPU <https://tvm.ai/2017/08/22/Optimize-Deep-Learning-GPU-Operators-with-TVM-A-Depthwise-Convolution-Example.html>`_
+# (2). `Optimizing DepthwiseConv on NVIDIA GPU <https://tvm.apache.org/2017/08/22/Optimize-Deep-Learning-GPU-Operators-with-TVM-A-Depthwise-Convolution-Example>`_
#
# However, their implementations are manually tuned for some special input
# shapes. In this section, we build a large enough space to cover