diff --git a/README.md b/README.md index dc59596c5436f8576836a23bc79a8f5dbf679fb5..5af3ac4bacc3d563dab2dd9133dcc3ea5aadf1f9 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,8 @@ visit [this](https://gitlab.version.fz-juelich.de/MLDL_FZJ/MLDL_FZJ_Wiki/wikis/E ### Announcements +* **November 22, 2019:** Samples for Caffe are no longer supported on JURECA due to system-wide +MVAPICH2 module changes. * **November 18, 2019:** The `horovod_data_distributed` directory has been added that contains code samples to illustrate proper data-distributed training with Horovod, i.e., a distribution mechanism where the training data is distributed instead of epochs. Further information is available in the diff --git a/caffe/lenet_python/submit_job_jureca_python2.sh b/caffe/lenet_python/.submit_job_jureca_python2.sh similarity index 94% rename from caffe/lenet_python/submit_job_jureca_python2.sh rename to caffe/lenet_python/.submit_job_jureca_python2.sh index e1e5ed52b33c951ff8521425a2f836e57312a37b..75069256157eb55f4122b0ebc2f390b925f89396 100755 --- a/caffe/lenet_python/submit_job_jureca_python2.sh +++ b/caffe/lenet_python/.submit_job_jureca_python2.sh @@ -15,7 +15,7 @@ module use /usr/local/software/jureca/OtherStages module load Stages/Devel-2018b module load GCC/7.3.0 -module load MVAPICH2/2.3.2-GDR +module load MVAPICH2/2.3-GDR module load Caffe/1.0-Python-2.7.15 # Run the program diff --git a/caffe/mnist_cmd/submit_job_jureca_python2.sh b/caffe/mnist_cmd/.submit_job_jureca_python2.sh similarity index 94% rename from caffe/mnist_cmd/submit_job_jureca_python2.sh rename to caffe/mnist_cmd/.submit_job_jureca_python2.sh index 10d2a1de3c625fef6d36c92fc5d8c89fec0b2b77..029520e3308a4e322cfd14c3d863e982fb5ac02e 100755 --- a/caffe/mnist_cmd/submit_job_jureca_python2.sh +++ b/caffe/mnist_cmd/.submit_job_jureca_python2.sh @@ -15,7 +15,7 @@ module use /usr/local/software/jureca/OtherStages module load Stages/Devel-2018b module load GCC/7.3.0 -module load MVAPICH2/2.3.2-GDR +module load MVAPICH2/2.3-GDR module load Caffe/1.0-Python-2.7.15 # Train the model using the 'caffe' binary