Added --initial-averaging option to greedy-diverse-random for mnist

results-v2/diverse-random-mnist-max-local-skew.sh

@@ -13,6 +13,7 @@ export PYTHONPATH=$TOOLS
 # by the next command to add parameters and generate information
 # used by the simulator. For a list of available options for each
 # command, run 'export PYTHONPATH=.; <command> --help'.
+for INIT_AVG in '--initial-averaging'; do
 for U_GRAD in '--unbiased-gradient' ''; do
 for SEED in 1; do
 setup/meta.py \
@@ -33,6 +34,7 @@ setup/model/linear.py |
 simulate/algorithm/d_sgd.py \
   --batch-size 128 \
   --learning-momentum 0.0 \
+  $INIT_AVG \
   $U_GRAD \
   --learning-rate 0.1 |
 simulate/logger.py \
@@ -40,4 +42,5 @@ simulate/logger.py \
 simulate/run.py \
   --nb-epochs 100;
 done;
+done;
 done