scala-package/examples/scripts/neuralstyle_end2end/run_train_end2end.sh

#!/bin/bash

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MXNET_ROOT=$(cd "$(dirname $0)/../../../.."; pwd)
CLASS_PATH=$MXNET_ROOT/scala-package/assembly/target/*:$MXNET_ROOT/scala-package/examples/target/*:$MXNET_ROOT/scala-package/examples/target/classes/lib/*

# more details please refer to
# https://github.com/Ldpe2G/mxnet/blob/develop/example/neural-style/end_to_end/README.md
TRAIN_DATA_PATH=$1
STYLE_IMG=$2
VGG_MODEL_PATH=$3
SAVE_MODEL_DIR=$4
GPU=0

java -Xmx1024m -cp $CLASS_PATH \
	org.apache.mxnetexamples.neuralstyle.end2end.BoostTrain \
	--data-path $TRAIN_DATA_PATH  \
	--vgg--model-path  $VGG_MODEL_PATH \
	--save--model-path $SAVE_MODEL_DIR \
	--style-image $STYLE_IMG \
	--gpu $GPU