add v2 multi-gpu script

cifar10/dawn_submission/README.md

@@ -1,15 +1,16 @@
-### Script (multi-gpu)
+### Script (multi-gpu, v2)
 
 In the parent directory, run:
 
     time python -m multiproc.py dawn_mod.py /home/ubuntu/data/cifar10 \
-    --save-dir /home/ubuntu/data/cf_train_save/wrn_submission \
+    --save-dir /home/ubuntu/data/cf_train_save/wrn_v2_submission \
     -a wrn_22 \
-    --epochs 1 --cycle-len 50 \
+    --epochs 1 --cycle-len 40 \
     --fp16 --loss-scale 512 \
     -b 128 \
-    --wd 2e-4 --lr 1.3 \
-    --use-clr 50,15,0.95,0.85
+    --wd 2e-4 --lr 2.0 \
+    --use-clr 50,12.5,0.95,0.85 \
+    -j 8
 
 on an Amazon p3.16xlarge instance.  You will need to symlink (ln -s YOUR_FASTAI_DIRECTORY fastai) your fastai install inside the cifar directory for the python imports (or do git clone https://github.com/fastai/fastai.git inside the parent directory).  Uses fastai master (current SHA1: https://github.com/fastai/fastai/commit/f9c3d22cdb79e9438c308e3baeb91f04944081fe) and pytorch master (.4) (https://github.com/pytorch/pytorch/commit/354dac976905ba718ea94a73c11587438ae86cde).