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longjonlongjon
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Merge pull request BVLC#4459 from lukeyeager/bvlc/example-scripts
Add "set -e" and $@ to example scripts
2 parents 7471297 + 93d3212 commit 50c9a0f

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+39
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‎examples/cifar10/create_cifar10.sh

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#!/usr/bin/env sh
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# This script converts the cifar data into leveldb format.
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set -e
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EXAMPLE=examples/cifar10
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DATA=data/cifar10

‎examples/cifar10/train_full.sh

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#!/usr/bin/env sh
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set -e
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TOOLS=./build/tools
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$TOOLS/caffe train \
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--solver=examples/cifar10/cifar10_full_solver.prototxt
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--solver=examples/cifar10/cifar10_full_solver.prototxt $@
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# reduce learning rate by factor of 10
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$TOOLS/caffe train \
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--solver=examples/cifar10/cifar10_full_solver_lr1.prototxt \
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--snapshot=examples/cifar10/cifar10_full_iter_60000.solverstate.h5
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--snapshot=examples/cifar10/cifar10_full_iter_60000.solverstate.h5 $@
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# reduce learning rate by factor of 10
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$TOOLS/caffe train \
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--solver=examples/cifar10/cifar10_full_solver_lr2.prototxt \
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--snapshot=examples/cifar10/cifar10_full_iter_65000.solverstate.h5
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--snapshot=examples/cifar10/cifar10_full_iter_65000.solverstate.h5 $@

‎examples/cifar10/train_full_sigmoid.sh

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#!/usr/bin/env sh
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set -e
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TOOLS=./build/tools
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$TOOLS/caffe train \
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--solver=examples/cifar10/cifar10_full_sigmoid_solver.prototxt
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--solver=examples/cifar10/cifar10_full_sigmoid_solver.prototxt $@
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‎examples/cifar10/train_full_sigmoid_bn.sh

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#!/usr/bin/env sh
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set -e
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TOOLS=./build/tools
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$TOOLS/caffe train \
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--solver=examples/cifar10/cifar10_full_sigmoid_solver_bn.prototxt
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--solver=examples/cifar10/cifar10_full_sigmoid_solver_bn.prototxt $@
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‎examples/cifar10/train_quick.sh

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#!/usr/bin/env sh
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set -e
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TOOLS=./build/tools
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$TOOLS/caffe train \
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--solver=examples/cifar10/cifar10_quick_solver.prototxt
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--solver=examples/cifar10/cifar10_quick_solver.prototxt $@
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# reduce learning rate by factor of 10 after 8 epochs
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$TOOLS/caffe train \
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--solver=examples/cifar10/cifar10_quick_solver_lr1.prototxt \
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--snapshot=examples/cifar10/cifar10_quick_iter_4000.solverstate.h5
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--snapshot=examples/cifar10/cifar10_quick_iter_4000.solverstate.h5 $@

‎examples/imagenet/create_imagenet.sh

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#!/usr/bin/env sh
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# Create the imagenet lmdb inputs
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# N.B. set the path to the imagenet train + val data dirs
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set -e
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EXAMPLE=examples/imagenet
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DATA=data/ilsvrc12

‎examples/imagenet/resume_training.sh

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#!/usr/bin/env sh
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set -e
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./build/tools/caffe train \
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--solver=models/bvlc_reference_caffenet/solver.prototxt \
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--snapshot=models/bvlc_reference_caffenet/caffenet_train_10000.solverstate.h5
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--snapshot=models/bvlc_reference_caffenet/caffenet_train_10000.solverstate.h5 \
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$@

‎examples/imagenet/train_caffenet.sh

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#!/usr/bin/env sh
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set -e
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./build/tools/caffe train \
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--solver=models/bvlc_reference_caffenet/solver.prototxt
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--solver=models/bvlc_reference_caffenet/solver.prototxt $@

‎examples/mnist/create_mnist.sh

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#!/usr/bin/env sh
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# This script converts the mnist data into lmdb/leveldb format,
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# depending on the value assigned to $BACKEND.
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set -e
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EXAMPLE=examples/mnist
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DATA=data/mnist

‎examples/mnist/train_lenet.sh

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#!/usr/bin/env sh
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set -e
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./build/tools/caffe train --solver=examples/mnist/lenet_solver.prototxt
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./build/tools/caffe train --solver=examples/mnist/lenet_solver.prototxt $@

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