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example-layers/layers.gc.cfg
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112
example-layers/layers.gc.cfg
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[data]
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type=data
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dataIdx=0
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[labels]
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type=data
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dataIdx=1
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[conv32a]
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type=conv
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inputs=data
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filters=16
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padding=0
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stride=1
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filterSize=3
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channels=3
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neuron=relu
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initW=0.3
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initB=1
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partialSum=1
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sharedBiases=true
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gpu=0
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[conv32b]
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type=conv
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inputs=data
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filters=16
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padding=0
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stride=1
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filterSize=3
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channels=3
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neuron=relu
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initW=0.3
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initB=1
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partialSum=1
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sharedBiases=true
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gpu=1
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[conv32c]
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type=conv
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inputs=data
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filters=16
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padding=0
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stride=1
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filterSize=3
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channels=3
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neuron=relu
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initW=0.3
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initB=1
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partialSum=1
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sharedBiases=true
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gpu=2
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[rnorm1a]
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type=cmrnorm
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inputs=conv32a
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channels=16
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size=5
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[rnorm1b]
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type=cmrnorm
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inputs=conv32b
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channels=16
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size=5
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[rnorm1c]
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type=cmrnorm
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inputs=conv32c
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channels=16
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size=5
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[fc16a]
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type=fc
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outputs=16
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inputs=rnorm1a,rnorm1b,rnorm1c
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initW=0.1,0.1,0.1
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gpu=0
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[fc16b]
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type=fc
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outputs=16
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inputs=rnorm1b,rnorm1c,rnorm1a
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initW=0.1,0.1,0.1
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gpu=1
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[fc16c]
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type=fc
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outputs=16
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inputs=rnorm1c,rnorm1a,rnorm1a
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initW=0.1,0.1,0.1
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gpu=2
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[concat]
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type=concat
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inputs=fc16a,fc16c,fc16b
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[fc10]
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type=fc
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inputs=concat
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outputs=10
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initW=0.08
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gpu=0
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[probs]
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type=softmax
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inputs=fc10
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gpu=0
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[logreg]
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type=cost.logreg
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inputs=labels,probs
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gpu=0
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