[CI] Move to use main as the default (#6665)

Author: tqchen

Jenkinsfile

@@ -94,8 +94,8 @@ def init_git_win() {
 }
 
 def cancel_previous_build() {
-    // cancel previous build if it is not on master.
-    if (env.BRANCH_NAME != "master") {
+    // cancel previous build if it is not on main.
+    if (env.BRANCH_NAME != "main") {
         def buildNumber = env.BUILD_NUMBER as int
         // Milestone API allows us to cancel previous build
         // with the same milestone number
@@ -328,14 +328,14 @@ stage('Build packages') {
     }
   }
   // Here we could upload the packages to anaconda for releases
-  // and/or the master branch
+  // and/or the main branch
 }
 */
 
 stage('Deploy') {
     node('doc') {
       ws(per_exec_ws("tvm/deploy-docs")) {
-        if (env.BRANCH_NAME == "master") {
+        if (env.BRANCH_NAME == "main") {
            unpack_lib('mydocs', 'docs.tgz')
            sh "cp docs.tgz /var/docs/docs.tgz"
            sh "tar xf docs.tgz -C /var/docs"

Makefile

@@ -136,7 +136,7 @@ jvminstall:
 			-Dcflags="$(PKG_CFLAGS)" -Dldflags="$(PKG_LDFLAGS)" \
 			-Dcurrent_libdir="$(ROOTDIR)/$(OUTPUTDIR)" $(JVM_TEST_ARGS))
 format:
-	./tests/lint/git-clang-format.sh -i origin/master
+	./tests/lint/git-clang-format.sh -i origin/main
 	black .
 	cd rust; which cargo && cargo fmt --all; cd ..
 

NEWS.md

@@ -2190,7 +2190,7 @@ Rust language support in TVM includes two parts. 1. The frontend wraps the curre
 * Fix benchmark layout in graph tuner (#3926)
 * Fix Android Demo LLVM version (#3962)
 * Cast filepath arguments to string (#3968)
-* Fixes "common" sub crate using nightly and master (#3965)
+* Fixes "common" sub crate using nightly and main (#3965)
 * Changes to make tensorize work. These changes also fix the previously broken test. (#3981)
 * Remove FLOP computation when calling 3rd party library (#4005)
 * Use a more intuitive way to limit the #ops in a group (#4018)
@@ -2254,7 +2254,7 @@ Rust language support in TVM includes two parts. 1. The frontend wraps the curre
 
 
 ### Depreciations
-* Deprecating python2 support in the master branch and following release (v0.6). (#2994, #2986)
+* Deprecating python2 support and following release (v0.6). (#2994, #2986)
 * NNVM is deprecated and will be removed in a future version. (#4333, #4368)
 
 

README.md

@@ -15,14 +15,14 @@
 <!--- specific language governing permissions and limitations -->
 <!--- under the License. -->
 
-<img src=https://raw.githubusercontent.com/apache/incubator-tvm-site/master/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack
+<img src=https://raw.githubusercontent.com/apache/incubator-tvm-site/main/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack
 ==============================================
 [Documentation](https://tvm.apache.org/docs) |
 [Contributors](CONTRIBUTORS.md) |
 [Community](https://tvm.apache.org/community) |
 [Release Notes](NEWS.md)
 
-[![Build Status](https://ci.tlcpack.ai/buildStatus/icon?job=tvm/master)](https://ci.tlcpack.ai/job/tvm/job/master/)
+[![Build Status](https://ci.tlcpack.ai/buildStatus/icon?job=tvm/main)](https://ci.tlcpack.ai/job/tvm/job/main/)
 [![WinMacBuild](https://github.com/apache/incubator-tvm/workflows/WinMacBuild/badge.svg)](https://github.com/apache/incubator-tvm/actions?query=workflow%3AWinMacBuild)
 
 Apache TVM (incubating) is a compiler stack for deep learning systems. It is designed to close the gap between the

apps/android_deploy/README.md

@@ -34,7 +34,7 @@ Alternatively, you may execute Docker image we provide which contains the requir
 
 ### Build APK
 
-Before you build the Android application, please refer to [TVM4J Installation Guide](https://github.com/apache/incubator-tvm/blob/master/jvm/README.md) and install tvm4j-core to your local maven repository. You can find tvm4j dependency declare in `app/build.gradle`. Modify it if it is necessary.
+Before you build the Android application, please refer to [TVM4J Installation Guide](https://github.com/apache/incubator-tvm/blob/main/jvm/README.md) and install tvm4j-core to your local maven repository. You can find tvm4j dependency declare in `app/build.gradle`. Modify it if it is necessary.
 
 ```
 dependencies {
@@ -124,7 +124,7 @@ If everything goes well, you will find compile tools in `/opt/android-toolchain-
 
 Follow instruction to get compiled version model for android target [here.](https://tvm.apache.org/docs/deploy/android.html)
 
-Copied these compiled model deploy_lib.so, deploy_graph.json and deploy_param.params to apps/android_deploy/app/src/main/assets/ and modify TVM flavor changes on [java](https://github.com/apache/incubator-tvm/blob/master/apps/android_deploy/app/src/main/java/org/apache/tvm/android/demo/MainActivity.java#L81)
+Copied these compiled model deploy_lib.so, deploy_graph.json and deploy_param.params to apps/android_deploy/app/src/main/assets/ and modify TVM flavor changes on [java](https://github.com/apache/incubator-tvm/blob/main/apps/android_deploy/app/src/main/java/org/apache/tvm/android/demo/MainActivity.java#L81)
 
 `CPU Verison flavor`
 ```

apps/android_rpc/README.md

@@ -28,7 +28,7 @@ You will need JDK, [Android NDK](https://developer.android.com/ndk) and an Andro
 
 We use [Gradle](https://gradle.org) to build. Please follow [the installation instruction](https://gradle.org/install) for your operating system.
 
-Before you build the Android application, please refer to [TVM4J Installation Guide](https://github.com/apache/incubator-tvm/blob/master/jvm/README.md) and install tvm4j-core to your local maven repository. You can find tvm4j dependency declare in `app/build.gradle`. Modify it if it is necessary.
+Before you build the Android application, please refer to [TVM4J Installation Guide](https://github.com/apache/incubator-tvm/blob/main/jvm/README.md) and install tvm4j-core to your local maven repository. You can find tvm4j dependency declare in `app/build.gradle`. Modify it if it is necessary.
 
 ```
 dependencies {
@@ -146,7 +146,7 @@ android   1      1     0
 ```
 
 
-Then checkout [android\_rpc/tests/android\_rpc\_test.py](https://github.com/apache/incubator-tvm/blob/master/apps/android_rpc/tests/android_rpc_test.py) and run,
+Then checkout [android\_rpc/tests/android\_rpc\_test.py](https://github.com/apache/incubator-tvm/blob/main/apps/android_rpc/tests/android_rpc_test.py) and run,
 
 ```bash
 # Specify the RPC tracker
@@ -157,7 +157,7 @@ export TVM_NDK_CC=/opt/android-toolchain-arm64/bin/aarch64-linux-android-g++
 python android_rpc_test.py
 ```
 
-This will compile TVM IR to shared libraries (CPU, OpenCL and Vulkan) and run vector addition on your Android device. To verify compiled TVM IR shared libraries on OpenCL target set `'test_opencl = True'` and on Vulkan target set `'test_vulkan = True'` in  [tests/android_rpc_test.py](https://github.com/apache/incubator-tvm/blob/master/apps/android_rpc/tests/android_rpc_test.py), by default on CPU target will execute.
+This will compile TVM IR to shared libraries (CPU, OpenCL and Vulkan) and run vector addition on your Android device. To verify compiled TVM IR shared libraries on OpenCL target set `'test_opencl = True'` and on Vulkan target set `'test_vulkan = True'` in  [tests/android_rpc_test.py](https://github.com/apache/incubator-tvm/blob/main/apps/android_rpc/tests/android_rpc_test.py), by default on CPU target will execute.
 On my test device, it gives following results.
 
 ```bash

apps/benchmark/README.md

@@ -78,7 +78,7 @@ python3 -m tvm.exec.rpc_tracker
   `python3 -m tvm.exec.rpc_server --tracker=10.77.1.123:9190 --key=rk3399`, where 10.77.1.123 is the IP address of the tracker.
 
 * For Android device
-   * Build and install tvm RPC apk on your device [Help](https://github.com/apache/incubator-tvm/tree/master/apps/android_rpc).
+   * Build and install tvm RPC apk on your device [Help](https://github.com/apache/incubator-tvm/tree/main/apps/android_rpc).
      Make sure you can pass the android rpc test. Then you have alreadly known how to register.
 
 3. Verify the device registration

apps/ios_rpc/tests/ios_rpc_mobilenet.py

@@ -61,7 +61,7 @@ def compile_metal(src):
 
 
 def prepare_input():
-    img_url = "https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true"
+    img_url = "https://github.com/dmlc/mxnet.js/blob/main/data/cat.png?raw=true"
     img_name = "cat.png"
     synset_url = "".join(
         [

apps/wasm-standalone/README.md

@@ -37,7 +37,7 @@
 
 ## Motivation
 
-<img src="https://github.com/dmlc/web-data/raw/master/tvm/tutorial/tvm_support_list.png" alt="TVM hardware support" width="600"/>
+<img src="https://github.com/dmlc/web-data/raw/main/tvm/tutorial/tvm_support_list.png" alt="TVM hardware support" width="600"/>
 
 As demonstrated in TVM runtime [tutorials](https://tvm.apache.org/docs/tutorials/get_started/relay_quick_start.html), TVM already supports WASM as the optional hardware backend, so we can leverage the features of WebAssembly (portability, security) and TVM runtime (domain-specific, optimization) to build a flexible and auto-optimized graph compiler for all deep learning frameworks.
 
@@ -165,7 +165,7 @@ Options:
 Next perform model inference using these commands below:
 ```
 $ cp ../../../wasm-graph/lib/wasm_graph_resnet50.wasm ./
-$ wget -O cat.png https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true
+$ wget -O cat.png https://github.com/dmlc/mxnet.js/blob/main/data/cat.png?raw=true
 $ wget -O synset.csv https://raw.githubusercontent.com/kazum/tvm-wasm/master/synset.csv
 $ ./target/debug/test_graph_resnet50 -g ./wasm_graph_resnet50.wasm -i ./cat.png -l ./synset.csv
 original image dimensions: (256, 256)

docker/lint.sh

@@ -45,7 +45,7 @@ function run_lint_step() {
                 # NOTE: need to run git status to update some docker-side cache. Otherwise,
                 # git-clang-format will fail with "The following files would be modified but have
                 # unstaged changes:"
-                cmd=( bash -c 'git status &>/dev/null && tests/lint/git-clang-format.sh -i origin/master' )
+                cmd=( bash -c 'git status &>/dev/null && tests/lint/git-clang-format.sh -i origin/main' )
             fi
             ;;
         cpplint)
@@ -58,7 +58,7 @@ function run_lint_step() {
             if [ $inplace_fix -eq 0 ]; then
                 cmd=( tests/lint/python_format.sh )
             else
-                cmd=( tests/lint/git-black.sh -i origin/master )
+                cmd=( tests/lint/git-black.sh -i origin/main )
             fi
             ;;
         jnilint)