init

scripts-cnn/train-imagenet.sh

@@ -0,0 +1,28 @@
+#!/usr/bin/env sh
+if [ "$#" -ne 4 ] ;then
+  echo "Input illegal number of parameters " $#
+  echo "Need 4 parameters for the GPUs, the architecture, and the channel and the layers"
+  exit 1               
+fi 
+if [ "$TORCH_HOME" = "" ]; then
+  echo "Must set TORCH_HOME envoriment variable for data dir saving"
+  exit 1
+else
+  echo "TORCH_HOME : $TORCH_HOME"
+fi
+
+gpus=$1
+arch=$2
+dataset=imagenet
+channels=$3
+layers=$4
+SAVED=./snapshots/NAS/${arch}-${dataset}-C${channels}-L${layers}-E250
+
+CUDA_VISIBLE_DEVICES=${gpus} python ./exps-nas/train_base.py \
+	--data_path $TORCH_HOME/ILSVRC2012 \
+	--dataset ${dataset} --arch ${arch} \
+	--save_path ${SAVED} \
+	--grad_clip 5 \
+	--init_channels ${channels} --layers ${layers} \
+	--model_config ./configs/nas-imagenet.config \
+	--print_freq 200 --workers 20