[incubator-mxnet] branch master updated: fix nightly (#15141)

[sk...@apache.org]

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skm pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new 134a3e8  fix nightly (#15141)
134a3e8 is described below

commit 134a3e8cd36ee66426deedd3c8add6888378c043
Author: Lai Wei <ro...@gmail.com>
AuthorDate: Tue Jun 4 07:43:49 2019 -0700

    fix nightly (#15141)
    
    * fix nightly
    
    * disable large tensor
    
    * update issue link
---
 tests/nightly/JenkinsfileForBinaries | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/tests/nightly/JenkinsfileForBinaries b/tests/nightly/JenkinsfileForBinaries
index e4b9ff1..d5f1ebd 100755
--- a/tests/nightly/JenkinsfileForBinaries
+++ b/tests/nightly/JenkinsfileForBinaries
@@ -86,14 +86,15 @@ core_logic: {
         }
       }
     },*/
-    'Test Large Tensor Size: GPU': {
+    // https://github.com/apache/incubator-mxnet/issues/14981
+    /*'Test Large Tensor Size: GPU': {
       node(NODE_LINUX_GPU) {
         ws('workspace/large_tensor-gpu') {
             utils.unpack_and_init('gpu_int64', mx_cmake_lib)
             utils.docker_run('ubuntu_nightly_gpu', 'nightly_test_large_tensor', true)
         }
       }
-    },
+    },*/
     'StraightDope: Python2 Single-GPU': {
       node(NODE_LINUX_GPU_P3) {
         ws('workspace/straight_dope-single_gpu') {
@@ -127,7 +128,7 @@ core_logic: {
       }
     },
     'Tutorial: Python2': {
-      node(NODE_LINUX_GPU) {
+      node(NODE_LINUX_GPU_P3) {
         ws('workspace/tutorial-test-python2') {
           utils.unpack_and_init('gpu', mx_lib)
           utils.docker_run('ubuntu_nightly_gpu', 'nightly_tutorial_test_ubuntu_python2_gpu', true, '1500m')
@@ -135,7 +136,7 @@ core_logic: {
       }
     },
     'Tutorial: Python3': {
-      node(NODE_LINUX_GPU) {
+      node(NODE_LINUX_GPU_P3) {
         ws('workspace/tutorial-test-python3') {
           utils.unpack_and_init('gpu', mx_lib)
           utils.docker_run('ubuntu_nightly_gpu', 'nightly_tutorial_test_ubuntu_python3_gpu', true, '1500m')