Update README.md

README.md

 # horovod-environment
 
-A yml and a set of instructions to build a functioning horovod environment for distributed learning using keras and tensorflow (and torch on Cheaha
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+A yml and a set of instructions to build a functioning horovod environment for distributed learning using keras and tensorflow (and torch on Cheaha
+
+# load modules
+module load Anaconda3/5.2.0
+
+module load cuda91
+
+module load OpenMPI/3.1.2-gcccuda-2018b
+
+# create anaconda environment
+Download distribLearn2.yml from this repo
+
+conda env create -f distribLearn2.yml --name distributedLearning
+
+source activate distributedLearning
+
+conda update automat
+
+pip uninstall horovod
+
+pip install --no-cache-dir horovod
+
+#navigate to an example
+This can be downloaded from https://github.com/uber/horovod
+
+cd /data/user/blazerid/horovod-master/examples/
+
+mpirun -np 8 -H host1:4,host2:4 -bind-to none -map-by slot -mca pml ob1 -mca btl_tcp_if_include ib0 python keras_mnist.py