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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/01/15 21:37:04 UTC

[GitHub] zheng-da commented on a change in pull request #8302: Refactor operators & MKLDNN

zheng-da commented on a change in pull request #8302: Refactor operators & MKLDNN
URL: https://github.com/apache/incubator-mxnet/pull/8302#discussion_r161619303
 
 

 ##########
 File path: Jenkinsfile
 ##########
 @@ -204,42 +205,40 @@ try {
         }
       }
     },
-    'CPU: MKLML': {
+    'CPU: MKLDNN': {
       node('mxnetlinux-cpu') {
-        ws('workspace/build-mklml-cpu') {
+        ws('workspace/build-mkldnn-cpu') {
           init_git()
           def flag = """ \
             DEV=1                         \
             USE_PROFILER=1                \
             USE_CPP_PACKAGE=1             \
             USE_BLAS=openblas             \
-            USE_MKL2017=1                 \
-            USE_MKL2017_EXPERIMENTAL=1    \
+            USE_MKLDNN=1                  \
             -j\$(nproc)
             """
           make("cpu_mklml", flag)
-          pack_lib('mklml_cpu')
+          pack_lib('mkldnn_cpu', mx_mkldnn_lib)
         }
       }
     },
-    'GPU: MKLML': {
+    'GPU: MKLDNN': {
       node('mxnetlinux-cpu') {
-        ws('workspace/build-mklml-gpu') {
+        ws('workspace/build-mkldnn-gpu') {
           init_git()
           def flag = """ \
             DEV=1                         \
             USE_PROFILER=1                \
             USE_CPP_PACKAGE=1             \
             USE_BLAS=openblas             \
-            USE_MKL2017=1                 \
-            USE_MKL2017_EXPERIMENTAL=1    \
+            USE_MKLDNN=1                  \
             USE_CUDA=1                    \
             USE_CUDA_PATH=/usr/local/cuda \
             USE_CUDNN=1                   \
             -j\$(nproc)
             """
           make("build_cuda", flag)
 
 Review comment:
   it works fine. except that using MKLDNN and GPU in Jenkins still fails. It's not a linking problem. It's most likely caused by the conflict of MKLDNN and GPU in Jenkins.

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