[CI] Try new CI (#1124)

* tf

* add builtin support

* fiix

* pytest

* fix

* fix

* fix some bugs

* fix selecting

* fix todo

* fix test

* fix test fail in tf

* fix

* fix

* fix gather row

* fix gather row

* log backend

* fix gather row

* fix gather row

* fix for pytorch

* fix

* fix

* fix

* fix

* fix

* fix tests

* fix

* fix

* fix

* fix

* fix

* fix

* fix convert

* fix

* fix

* fix

* fix inplace

* add alignment setting

* add debug option

* Revert "add alignment setting"

This reverts commit ec63fb3506ea84fff7d447a1fbdfd1d5d1fb6110.

* tf ci

* fix lint

* fix lint

* add tfdlpack

* fix type

* add env

* fix backend

* fix

* fix tests

* remove one_hot

* remove comment

* remove comment

* fix

* use pip to install all

* fix test

* fix base

* fix

* fix

* add skip

* upgrade cmake

* change version

* change ci

* fix

* fix

* fix

* fix

* fix seg fault

* fix

* fix python version

* fix

* try fix

* fix

* fix

* tf takes longer time in ci

* change py version

* fix

* fix

* fix oom

* change kg env

* change kg env

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* 我再也不搞各种乱七八糟环境了……

* use pytest

* Chang image

* try node

* try

* fix

* try new ci

* try new ci

* try new ci

* try new ci

* ci

* try

* try

* fix

Jenkinsfile

@@ -101,11 +101,17 @@ def tutorial_test_linux(backend) {
   }
 }
 
+
 pipeline {
   agent any
   stages {
     stage("Lint Check") {
-      agent { docker { image "dgllib/dgl-ci-lint" } }
+      agent { 
+        docker {
+          label "linux-cpu-node"
+          image "dgllib/dgl-ci-lint" 
+        }
+      }
       steps {
         init_git()
         sh "bash tests/scripts/task_lint.sh"
@@ -119,7 +125,12 @@ pipeline {
     stage("Build") {
       parallel {
         stage("CPU Build") {
-          agent { docker { image "dgllib/dgl-ci-cpu:conda" } }
+          agent { 
+            docker {
+              label "linux-cpu-node"
+              image "dgllib/dgl-ci-cpu:conda" 
+            }
+          }
           steps {
             build_dgl_linux("cpu")
           }
@@ -132,8 +143,9 @@ pipeline {
         stage("GPU Build") {
           agent {
             docker {
+              label "linux-cpu-node"
               image "dgllib/dgl-ci-gpu:conda"
-              args "--runtime nvidia"
+              args "-u root"
             }
           }
           steps {
@@ -165,7 +177,12 @@ pipeline {
     stage("Test") {
       parallel {
         stage("C++ CPU") {
-          agent { docker { image "dgllib/dgl-ci-cpu:conda" } }
+          agent { 
+            docker { 
+              label "linux-cpu-node"
+              image "dgllib/dgl-ci-cpu:conda"
+            }
+          }
           steps {
             cpp_unit_test_linux()
           }
@@ -187,7 +204,12 @@ pipeline {
           }
         }
         stage("Tensorflow CPU") {
-          agent { docker { image "dgllib/dgl-ci-cpu:conda" } }
+          agent { 
+            docker {
+              label "linux-cpu-node"
+              image "dgllib/dgl-ci-cpu:conda" 
+            }
+          }
           stages {
             stage("Unit test") {
               steps {
@@ -204,6 +226,7 @@ pipeline {
         stage("Tensorflow GPU") {
           agent { 
             docker { 
+              label "linux-gpu-node"
               image "dgllib/dgl-ci-gpu:conda" 
               args "--runtime nvidia"
             }
@@ -222,7 +245,12 @@ pipeline {
           }
         }
         stage("Torch CPU") {
-          agent { docker { image "dgllib/dgl-ci-cpu:conda" } }
+          agent { 
+            docker {
+              label "linux-cpu-node"
+              image "dgllib/dgl-ci-cpu:conda" 
+            }
+          }
           stages {
             stage("Unit test") {
               steps {
@@ -269,6 +297,7 @@ pipeline {
         stage("Torch GPU") {
           agent {
             docker {
+              label "linux-gpu-node"
               image "dgllib/dgl-ci-gpu:conda"
               args "--runtime nvidia"
             }
@@ -293,7 +322,12 @@ pipeline {
           }
         }
         stage("MXNet CPU") {
-          agent { docker { image "dgllib/dgl-ci-cpu:conda" } }
+          agent { 
+            docker {
+              label "linux-cpu-node"
+              image "dgllib/dgl-ci-cpu:conda" 
+            }
+          }
           stages {
             stage("Unit test") {
               steps {
@@ -315,6 +349,7 @@ pipeline {
         stage("MXNet GPU") {
           agent {
             docker {
+              label "linux-gpu-node" 
               image "dgllib/dgl-ci-gpu:conda"
               args "--runtime nvidia"
             }
@@ -338,7 +373,12 @@ pipeline {
     stage("App") {
       parallel {
         stage("Knowledge Graph CPU") {
-          agent { docker { image "dgllib/dgl-ci-cpu:conda" } }
+          agent { 
+            docker {
+              label "linux-cpu-node"
+              image "dgllib/dgl-ci-cpu:conda" 
+            }
+          }
           stages {
             stage("Torch test") {
               steps {
@@ -360,6 +400,7 @@ pipeline {
         stage("Knowledge Graph GPU") {
           agent {
             docker {
+              label "linux-gpu-node"
               image "dgllib/dgl-ci-gpu:conda"
               args "--runtime nvidia"
             }

tests/scripts/build_dgl.sh

@@ -22,7 +22,7 @@ rm -rf _download
 
 pushd build
 cmake $CMAKE_VARS ..
-make -j4
+make -j8
 popd
 
 pushd python