Create directx_build.yml (#2)

* Create directx_build.yml
* Create track_tvm_github.yml
* Update README.md

.github/workflows/directx_build.yml

@@ -0,0 +1,52 @@
+name: Build TVM with DirectX support
+
+on:
+  push:
+    branches: [ develop ]
+  pull_request:
+    branches: [ develop ]
+
+env:
+  # Customize the CMake build type here (Release, Debug, RelWithDebInfo, etc.)
+  BUILD_TYPE: Release
+  VCPKG_EXE_PATH: F:\tool\vcpkg\vcpkg.exe
+  VCPKG_CMAKE_PATH: "F:/tool/vcpkg/scripts/buildsystems/vcpkg.cmake"
+  VSDEVCMD: C:/\"Program Files\"/\"Microsoft Visual Studio\"/2022/Enterprise/Common7/Tools/VsDevCmd.bat
+
+jobs:
+  build:
+    # The CMake configure and build commands are platform agnostic and should work equally well on Windows or Mac.
+    # You can convert this to a matrix build if you need cross-platform coverage.
+    # See: https://docs.github.com/en/free-pro-team@latest/actions/learn-github-actions/managing-complex-workflows#using-a-build-matrix
+    runs-on: [self-hosted, Windows, X64]
+
+    steps:
+    - uses: actions/checkout@v2
+      with:
+        submodules: 'true'
+
+    - name: VCPKG install Gtest
+      shell: cmd
+      run: ${{env.VCPKG_EXE_PATH}} install gtest:x64-windows
+
+    - name: Configure CMake
+      shell: cmd
+      # Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
+      # See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
+      run: >-
+        ${{env.VSDEVCMD}} && 
+        cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}} -DUSE_DIRECTX=ON -DCMAKE_TOOLCHAIN_FILE=${{env.VCPKG_CMAKE_PATH}}
+
+    - name: Build
+      shell: cmd
+      # Build your program with the given configuration
+      run: >-
+        ${{env.VSDEVCMD}} && 
+        cmake --build ${{github.workspace}}/build --config ${{env.BUILD_TYPE}}
+      
+    - name: Test
+      shell: cmd
+      # Build your program with the given configuration
+      run: >-
+        ${{env.VSDEVCMD}} && 
+        ${{github.workspace}}/build/${{env.BUILD_TYPE}}/dx_test.exe

.github/workflows/track_tvm_github.yml

@@ -0,0 +1,37 @@
+name: Track latest TVM commit from Github
+
+on:
+  push:
+    branches: [ develop ]
+  pull_request:
+    branches: [ develop ]
+  schedule:
+  - cron: '36 6 * * *'
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: git-mirror-action
+      # You may pin to the exact commit or the version.
+      # uses: mathisve/git-mirror-action@0e26d87bd1420836e3b68767929c997565c7028f
+      uses: mathisve/git-mirror-action@v1.2
+      with:
+        # url of the repository you want to mirror
+        originalURL: https://github.com/apache/tvm.git
+        # branch in the original repository you want to mirror. Defaults to `master`
+        originalBranch: main
+        # url of the repository you want the mirror to go in
+        mirrorURL: https://github.com/nnfusion/tvm.git
+        # branch that will be created or pushed into. Defaults to `mirror`
+        mirrorBranch: main
+        # Base64 encoded Personal Access Token
+        pat: ${{ secrets.NNFUSION_PAT }}
+        # whether to use the `--force` argument when pushing to the mirror repository. Defaults to false
+        force: false
+        # whether or not you want the output to be verbose. Defaults to false
+        verbose: false
+        # whether or not you want to transfer tags. Defaults to false
+        tags: false
+

README.md

@@ -22,8 +22,9 @@
 [Community](https://tvm.apache.org/community) |
 [Release Notes](NEWS.md)
 
-[![Build Status](https://ci.tlcpack.ai/buildStatus/icon?job=tvm/main)](https://ci.tlcpack.ai/job/tvm/job/main/)
-[![WinMacBuild](https://github.com/apache/tvm/workflows/WinMacBuild/badge.svg)](https://github.com/apache/tvm/actions?query=workflow%3AWinMacBuild)
+[![Build TVM with DirectX support](https://github.com/nnfusion/tvm/actions/workflows/directx_build.yml/badge.svg)](https://github.com/nnfusion/tvm/actions/workflows/directx_build.yml)
+[![Track latest TVM commit from Github](https://github.com/nnfusion/tvm/actions/workflows/track_tvm_github.yml/badge.svg)](https://github.com/nnfusion/tvm/actions/workflows/track_tvm_github.yml)
+[![WinMacBuild](https://github.com/nnfusion/tvm/actions/workflows/main.yml/badge.svg?branch=main)](https://github.com/nnfusion/tvm/actions/workflows/main.yml)
 
 Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the
 productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends.