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 <[email protected]> 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:[email protected]:dmlc/tvm.git</connection> - <developerConnection>scm:git:[email protected]:dmlc/tvm.git</developerConnection> + <connection>scm:git:[email protected]:apache/incubator-tvm.git</connection> + <developerConnection>scm:git:[email protected]: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
